Sample records for multi-scale modeling framework

  1. Modeling complex biological flows in multi-scale systems using the APDEC framework

    E-Print Network [OSTI]

    Modeling complex biological flows in multi-scale systems using the APDEC framework David Trebotich methods are based on higher-order finite difference methods in complex geometry with adaptivity-mail: trebotich1@llnl.gov Abstract. We have developed advanced numerical algorithms to model biological fluids

  2. Use of ARM Data to address the Climate Change Further Development and Applications of A Multi-scale Modeling Framework

    SciTech Connect (OSTI)

    David A. Randall; Marat Khairoutdinov

    2007-12-14T23:59:59.000Z

    The Colorado State University (CSU) Multi-scale Modeling Framework (MMF) is a new type of general circulation model (GCM) that replaces the conventional parameterizations of convection, clouds and boundary layer with a cloud-resolving model (CRM) embedded into each grid column. The MMF that we have been working with is a “super-parameterized” version of the Community Atmosphere Model (CAM). As reported in the publications listed below, we have done extensive work with the model. We have explored the MMF’s performance in several studies, including an AMIP run and a CAPT test, and we have applied the MMF to an analysis of climate sensitivity.

  3. Moist multi-scale models for the hurricane embryo

    SciTech Connect (OSTI)

    Majda, Andrew J. [New York University; Xing, Yulong [ORNL; Mohammadian, Majid [University of Ottawa, Canada

    2010-01-01T23:59:59.000Z

    Determining the finite-amplitude preconditioned states in the hurricane embryo, which lead to tropical cyclogenesis, is a central issue in contemporary meteorology. In the embryo there is competition between different preconditioning mechanisms involving hydrodynamics and moist thermodynamics, which can lead to cyclogenesis. Here systematic asymptotic methods from applied mathematics are utilized to develop new simplified moist multi-scale models starting from the moist anelastic equations. Three interesting multi-scale models emerge in the analysis. The balanced mesoscale vortex (BMV) dynamics and the microscale balanced hot tower (BHT) dynamics involve simplified balanced equations without gravity waves for vertical vorticity amplification due to moist heat sources and incorporate nonlinear advective fluxes across scales. The BMV model is the central one for tropical cyclogenesis in the embryo. The moist mesoscale wave (MMW) dynamics involves simplified equations for mesoscale moisture fluctuations, as well as linear hydrostatic waves driven by heat sources from moisture and eddy flux divergences. A simplified cloud physics model for deep convection is introduced here and used to study moist axisymmetric plumes in the BHT model. A simple application in periodic geometry involving the effects of mesoscale vertical shear and moist microscale hot towers on vortex amplification is developed here to illustrate features of the coupled multi-scale models. These results illustrate the use of these models in isolating key mechanisms in the embryo in a simplified content.

  4. Multi-Scale Multi-Dimensional Model for Better Cell Design and Management (Presentation)

    SciTech Connect (OSTI)

    Kim, G.-H.; Smith, K.

    2008-09-01T23:59:59.000Z

    Describes NREL's R&D to develop a multi-scale model to assist in designing better, more reliable lithium-ion battery cells for advanced vehicles.

  5. Continuum Level Formulation and Implementation of a Multi-scale Model for Vanadium

    SciTech Connect (OSTI)

    Lawrence Livermore National Laboratory

    2009-08-17T23:59:59.000Z

    A multi-scale approach is used to construct a continuum strength model for vanadium. The model is formulated assuming plastic deformation by dislocation motion and strain hardening due to dislocation interactions. Dislocation density is adopted as the state variable in the model. Information from molecular statics, molecular dynamics and dislocation dynamics simulations is combined to create kinetic relations for dislocation motion, strain hardening relations and evolution equations for the dislocation density. Implicit time integration of the constitutive equations is described in the context of implementation in a finite element code. Results are provided illustrating the strain, strain rate, temperature and pressure dependence of the constitutive model.

  6. Overview of Computer-Aided Engineering of Batteries and Introduction to Multi-Scale, Multi-Dimensional Modeling of Li-Ion Batteries (Presentation)

    SciTech Connect (OSTI)

    Pesaran, A.; Kim, G. H.; Smith, K.; Santhanagopalan, S.; Lee, K. J.

    2012-05-01T23:59:59.000Z

    This 2012 Annual Merit Review presentation gives an overview of the Computer-Aided Engineering of Batteries (CAEBAT) project and introduces the Multi-Scale, Multi-Dimensional model for modeling lithium-ion batteries for electric vehicles.

  7. How does the connectivity of open-framework conglomerates within multi-scale hierarchical fluvial architecture affect oil sweep efficiency in waterflooding?

    E-Print Network [OSTI]

    Gershenzon, Naum I; Ritzi, Robert W; Dominic, David F; Keefer, Don; Shaffer, Eric; Storsved, Brynne

    2015-01-01T23:59:59.000Z

    We studied the effects on oil sweep efficiency of the proportion, hierarchical organization, and connectivity of high-permeability open-framework conglomerate (OFC) cross-sets within the multi-scale stratal architecture found in fluvial deposits. Utilizing numerical simulations and the RVA/Paraview open-source visualization package, we analyzed oil production rate, water breakthrough time, and spatial and temporal distribution of residual oil saturation. The effective permeability of the reservoir exhibits large-scale anisotropy created by the organization of OFC cross-sets within unit bars, and the organization of unit bars within compound bars. As a result oil sweep efficiency critically depends on the direction of the pressure gradient. When pressure gradient is oriented normal to paleoflow direction, the total oil production and the water breakthrough time are larger, and remaining oil saturation is smaller. This result is found regardless of the proportion or connectivity of the OFC cross-sets, within th...

  8. Multi-scale Modeling Approach to Acoustic Emission during Plastic Deformation

    E-Print Network [OSTI]

    Jagadish Kumar; G. Ananthakrishna

    2011-02-20T23:59:59.000Z

    We address the long standing problem of the origin of acoustic emission commonly observed during plastic deformation. We propose a frame-work to deal with the widely separated time scales of collective dislocation dynamics and elastic degrees of freedom to explain the nature of acoustic emission observed during the Portevin-Le Chatelier effect. The Ananthakrishna model is used as it explains most generic features of the phenomenon. Our results show that while acoustic emission bursts correlated with stress drops are well separated for the type C serrations, these bursts merge to form nearly continuous acoustic signals with overriding bursts for the propagating type A bands.

  9. MULTI-SCALE MODELING AND APPROXIMATION ASSISTED OPTIMIZATION OF BARE TUBE HEAT EXCHANGERS

    SciTech Connect (OSTI)

    Bacellar, Daniel [University of Maryland, College Park; Ling, Jiazhen [University of Maryland, College Park; Aute, Vikrant [University of Maryland, College Park; Radermacher, Reinhard [University of Maryland, College Park; Abdelaziz, Omar [ORNL

    2014-01-01T23:59:59.000Z

    Air-to-refrigerant heat exchangers are very common in air-conditioning, heat pump and refrigeration applications. In these heat exchangers, there is a great benefit in terms of size, weight, refrigerant charge and heat transfer coefficient, by moving from conventional channel sizes (~ 9mm) to smaller channel sizes (< 5mm). This work investigates new designs for air-to-refrigerant heat exchangers with tube outer diameter ranging from 0.5 to 2.0mm. The goal of this research is to develop and optimize the design of these heat exchangers and compare their performance with existing state of the art designs. The air-side performance of various tube bundle configurations are analyzed using a Parallel Parameterized CFD (PPCFD) technique. PPCFD allows for fast-parametric CFD analyses of various geometries with topology change. Approximation techniques drastically reduce the number of CFD evaluations required during optimization. Maximum Entropy Design method is used for sampling and Kriging method is used for metamodeling. Metamodels are developed for the air-side heat transfer coefficients and pressure drop as a function of tube-bundle dimensions and air velocity. The metamodels are then integrated with an air-to-refrigerant heat exchanger design code. This integration allows a multi-scale analysis of air-side performance heat exchangers including air-to-refrigerant heat transfer and phase change. Overall optimization is carried out using a multi-objective genetic algorithm. The optimal designs found can exhibit 50 percent size reduction, 75 percent decrease in air side pressure drop and doubled air heat transfer coefficients compared to a high performance compact micro channel heat exchanger with same capacity and flow rates.

  10. Modeling of damage in unidirectional ceramic matrix composites and multi-scale experimental validation on third generation SiC/SiC minicomposites

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Modeling of damage in unidirectional ceramic matrix composites and multi-scale experimental to macroscopic tensile tests, the evolution of microscopic damage mechanisms - in the form of matrix cracks and computed tomography tensile tests. A complete model, including both matrix cracking and fiber breaking

  11. 6, 11111163, 2009 A multi-scale "soil

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    HESSD 6, 1111­1163, 2009 A multi-scale "soil water structure" model E. Braudeau et al. Title Page A multi-scale "soil water structure" model based on the pedostructure concept E. Braudeau 1,3 , R. H on behalf of the European Geosciences Union. 1111 #12;HESSD 6, 1111­1163, 2009 A multi-scale "soil water

  12. Simulated diurnal rainfall physics in a multi-scale global climate model with embedded explicit convection

    E-Print Network [OSTI]

    Pritchard, Michael Stephen

    2011-01-01T23:59:59.000Z

    their Community Earth System Model (Richard Neale, personaldevelopment of Earth system models capable of reproducing

  13. The Radiative Properties of Small Clouds: Multi-Scale Observations and Modeling

    SciTech Connect (OSTI)

    Feingold, Graham [NOAA ESRL; McComiskey, Allison [CIRES, University of Colorado

    2013-09-25T23:59:59.000Z

    Warm, liquid clouds and their representation in climate models continue to represent one of the most significant unknowns in climate sensitivity and climate change. Our project combines ARM observations, LES modeling, and satellite imagery to characterize shallow clouds and the role of aerosol in modifying their radiative effects.

  14. A multi-scale iterative approach for finite element modeling of thermal contact resistance

    E-Print Network [OSTI]

    Thompson, Mary Kathryn, 1980-

    2007-01-01T23:59:59.000Z

    Surface topography has long been considered a key factor in the performance of many contact applications including thermal contact resistance. However, essentially all analytical and numerical models of thermal contact ...

  15. Toward Multi-scale Modeling and simulation of conduction in heterogeneous materials.

    SciTech Connect (OSTI)

    Lechman, Jeremy B.; Battaile, Corbett Chandler.; Bolintineanu, Dan; Cooper, Marcia A.; Erikson, William W.; Foiles, Stephen M.; Kay, Jeffrey J [Sandia National Laboratories, Livermore, CA; Phinney, Leslie M.; Piekos, Edward S.; Specht, Paul Elliott; Wixom, Ryan R.; Yarrington, Cole

    2015-01-01T23:59:59.000Z

    This report summarizes a project in which the authors sought to develop and deploy: (i) experimental techniques to elucidate the complex, multiscale nature of thermal transport in particle-based materials; and (ii) modeling approaches to address current challenges in predicting performace variability of materials (e.g., identifying and characterizing physical- chemical processes and their couplings across multiple length and time scales, modeling infor- mation transfer between scales, and statically and dynamically resolving material structure and its evolution during manufacturing and device performance). Experimentally, several capabilities were sucessfully advanced. As discussed in Chapter 2 a flash diffusivity capabil- ity for measuring homogeneous thermal conductivity of pyrotechnic powders (and beyond) was advanced; leading to enhanced characterization of pyrotechnic materials and properties impacting component development. Chapter 4 describes sucess for the first time, although preliminary, in resolving thermal fields at speeds and spatial scales relevant to energetic components. Chapter 7 summarizes the first ever (as far as the authors know) application of TDTR to actual pyrotechnic materials. This is the first attempt to actually characterize these materials at the interfacial scale. On the modeling side, new capabilities in image processing of experimental microstructures and direct numerical simulation on complicated structures were advanced (see Chapters 3 and 5). In addition, modeling work described in Chapter 8 led to improved prediction of interface thermal conductance from first principles calculations. Toward the second point, for a model system of packed particles, significant headway was made in implementing numerical algorithms and collecting data to justify the approach in terms of highlighting the phenomena at play and pointing the way forward in de- veloping and informing the kind of modeling approach oringinally envisioned (see Chapter 6). In both cases much more remains to be accomplished.

  16. Global and multi-scale features of solar wind-magnetosphere coupling: From modeling to forecasting

    E-Print Network [OSTI]

    Sitnov, Mikhail I.

    with the AL index, which measures the magnetic field disturbances produced by the substorm current system, such as turbulence, bursty bulk flows [Angelopolous et. al., 1999], and fluctuations in the near-Earth current sheet to reconstruct behavior of the system independent of modeling assump- tions, long time series data of geomagnetic

  17. Study of Multi-Scale Cloud Processes Over the Tropical Western Pacific Using Cloud-Resolving Models Constrained by Satellite Data

    SciTech Connect (OSTI)

    Dudhia, Jimy

    2013-03-12T23:59:59.000Z

    Clouds in the tropical western Pacific are an integral part of the large scale environment. An improved understanding of the multi-scale structure of clouds and their interactions with the environment is critical to the ARM (Atmospheric Radiation Measurement) program for developing and evaluating cloud parameterizations, understanding the consequences of model biases, and providing a context for interpreting the observational data collected over the ARM Tropical Western Pacific (TWP) sites. Three-dimensional cloud resolving models (CRMs) are powerful tools for developing and evaluating cloud parameterizations. However, a significant challenge in using CRMs in the TWP is that the region lacks conventional data, so large uncertainty exists in defining the large-scale environment for clouds. This project links several aspects of the ARM program, from measurements to providing improved analyses, and from cloud-resolving modeling to climate-scale modeling and parameterization development, with the overall objective to improve the representations of clouds in climate models and to simulate and quantify resolved cloud effects on the large-scale environment. Our objectives will be achieved through a series of tasks focusing on the use of the Weather Research and Forecasting (WRF) model and ARM data. Our approach includes: -- Perform assimilation of COSMIC GPS radio occultation and other satellites products using the WRF Ensemble Kalman Filter assimilation system to represent the tropical large-scale environment at 36 km grid resolution. This high-resolution analysis can be used by the community to derive forcing products for single-column models or cloud-resolving models. -- Perform cloud-resolving simulations using WRF and its nesting capabilities, driven by the improved regional analysis and evaluate the simulations against ARM datasets such as from TWP-ICE to optimize the microphysics parameters for this region. A cirrus study (Mace and co-authors) already exists for TWP-ICE using satellite and ground-based observations. -- Perform numerical experiments using WRF to investigate how convection over tropical islands in the Maritime Continent interacts with large-scale circulation and affects convection in nearby regions. -- Evaluate and apply WRF as a testbed for GCM cloud parameterizations, utilizing the ability of WRF to run on multiple scales (from cloud resolving to global) to isolate resolution and physics issues from dynamical and model framework issues. Key products will be disseminated to the ARM and larger community through distribution of data archives, including model outputs from the data assimilation products and cloud resolving simulations, and publications.

  18. Viscoelastic Model for Lung Parenchyma for Multi-Scale Modeling of Respiratory System, Phase II: Dodecahedral Micro-Model

    SciTech Connect (OSTI)

    Freed, Alan D.; Einstein, Daniel R.; Carson, James P.; Jacob, Rick E.

    2012-03-01T23:59:59.000Z

    In the first year of this contractual effort a hypo-elastic constitutive model was developed and shown to have great potential in modeling the elastic response of parenchyma. This model resides at the macroscopic level of the continuum. In this, the second year of our support, an isotropic dodecahedron is employed as an alveolar model. This is a microscopic model for parenchyma. A hopeful outcome is that the linkage between these two scales of modeling will be a source of insight and inspiration that will aid us in the final year's activity: creating a viscoelastic model for parenchyma.

  19. On-line supplement to: SMART: A Stochastic Multi-scale Model for the Analysis of Energy Resources, Tech-

    E-Print Network [OSTI]

    Powell, Warren B.

    turbine, photovoltaic or hydro-power. Age is typically in units of years. Location can be expressed programming model, and a stochastic optimization problem. System state variables We divide the state variable

  20. Multi-scale First-Principles Modeling of Three-Phase System of Polymer Electrolyte Membrane Fuel Cel

    SciTech Connect (OSTI)

    Brunello, Giuseppe; Choi, Ji; Harvey, David; Jang, Seung

    2012-07-01T23:59:59.000Z

    The three-phase system consisting of Nafion, graphite and platinum in the presence of water is studied using molecule dynamics simulation. The force fields describing the molecular interaction between the components in the system are developed to reproduce the energies calculated from density functional theory modeling. The configuration of such complicated three-phase system is predicted through MD simulations. The nanophase-segregation and transport properties are investigated from the equilibrium state. The coverage of the electrolyte on the platinum surface and the dissolution of oxygen are analyzed.

  1. Multi-scale geospatial agroecosystem modeling: a case study on the influence of soil data resolution on carbon budget estimates

    SciTech Connect (OSTI)

    Zhang, Xuesong; Sahajpal, Ritvik; Manowitz, D.; Zhao, Kaiguang; LeDuc, Stephen D.; Xu, Min; Xiong, Wei; Zhang, Aiping; Izaurralde, Roberto C.; Thomson, Allison M.; West, Tristram O.; Post, W. M.

    2014-05-01T23:59:59.000Z

    The development of effective measures to stabilize atmospheric CO2 concentration and mitigate negative impacts of climate change requires accurate quantification of the spatial variation and magnitude of the terrestrial carbon (C) flux. However, the spatial pattern and strength of terrestrial C sinks and sources remain uncertain. In this study, we designed a spatially-explicit agroecosystem modeling system by integrating the Environmental Policy Integrated Climate (EPIC) model with multiple sources of geospatial and surveyed datasets (including crop type map, elevation, climate forcing, fertilizer application, tillage type and distribution, and crop planting and harvesting date), and applied it to examine the sensitivity of cropland C flux simulations to two widely used soil databases (i.e. State Soil Geographic-STATSGO of a scale of 1:250,000 and Soil Survey Geographic-SSURGO of a scale of 1:24,000) in Iowa, USA. To efficiently execute numerous EPIC runs resulting from the use of high resolution spatial data (56m), we developed a parallelized version of EPIC. Both STATSGO and SSURGO led to similar simulations of crop yields and Net Ecosystem Production (NEP) estimates at the State level. However, substantial differences were observed at the county and sub-county (grid) levels. In general, the fine resolution SSURGO data outperformed the coarse resolution STATSGO data for county-scale crop-yield simulation, and within STATSGO, the area-weighted approach provided more accurate results. Further analysis showed that spatial distribution and magnitude of simulated NEP were more sensitive to the resolution difference between SSURGO and STATSGO at the county or grid scale. For over 60% of the cropland areas in Iowa, the deviations between STATSGO- and SSURGO-derived NEP were larger than 1MgCha(-1)yr(-1), or about half of the average cropland NEP, highlighting the significant uncertainty in spatial distribution and magnitude of simulated C fluxes resulting from differences in soil data resolution.

  2. Viscoelastic Model for Lung Parenchyma for Multi-Scale Modeling of Respiratory System Phase I: Hypo-Elastic Model for CFD Implementation

    SciTech Connect (OSTI)

    Freed, Alan D.; Einstein, Daniel R.

    2011-04-14T23:59:59.000Z

    An isotropic constitutive model for the parenchyma of lung has been derived from the theory of hypo-elasticity. The intent is to use it to represent the mechanical response of this soft tissue in sophisticated, computational, fluid-dynamic models of the lung. This demands that the continuum model be accurate, yet simple and effcient. An objective algorithm for its numeric integration is provided. The response of the model is determined for several boundary-value problems whose experiments are used for material characterization. The effective elastic, bulk, and shear moduli, and Poisson’s ratio, as tangent functions, are also derived. The model is characterized against published experimental data for lung. A bridge between this continuum model and a dodecahedral model of alveolar geometry is investigated, with preliminary findings being reported.

  3. Multi-scale texture analysis of remote sensing images using gabor filter banks and wavelet transforms

    E-Print Network [OSTI]

    Ravikumar, Rahul

    2009-05-15T23:59:59.000Z

    to texture information extraction and utilization. This research focuses on the use of multi-scale image texture analysis techniques using Gabor filter banks and Wavelet transformations. Gabor filter banks model texture as irradiance patterns in an image over...

  4. Multi-scale modeling of Puget Sound using an unstructured-grid coastal ocean model: from tide flats to estuaries and coastal waters

    SciTech Connect (OSTI)

    Yang, Zhaoqing; Khangaonkar, Tarang

    2010-11-19T23:59:59.000Z

    Water circulation in Puget Sound, a large complex estuary system in the Pacific Northwest coastal ocean of the United States, is governed by multiple spatially and temporally varying forcings from tides, atmosphere (wind, heating/cooling, precipitation/evaporation, pressure), and river inflows. In addition, the hydrodynamic response is affected strongly by geomorphic features, such as fjord-like bathymetry and complex shoreline features, resulting in many distinguishing characteristics in its main and sub-basins. To better understand the details of circulation features in Puget Sound and to assist with proposed nearshore restoration actions for improving water quality and the ecological health of Puget Sound, a high-resolution (around 50 m in estuaries and tide flats) hydrodynamic model for the entire Puget Sound was needed. Here, a threedimensional circulation model of Puget Sound using an unstructured-grid finite volume coastal ocean model is presented. The model was constructed with sufficient resolution in the nearshore region to address the complex coastline, multi-tidal channels, and tide flats. Model open boundaries were extended to the entrance of the Strait of Juan de Fuca and the northern end of the Strait of Georgia to account for the influences of ocean water intrusion from the Strait of Juan de Fuca and the Fraser River plume from the Strait of Georgia, respectively. Comparisons of model results, observed data, and associated error statistics for tidal elevation, velocity, temperature, and salinity indicate that the model is capable of simulating the general circulation patterns on the scale of a large estuarine system as well as detailed hydrodynamics in the nearshore tide flats. Tidal characteristics, temperature/salinity stratification, mean circulation, and river plumes in estuaries with tide flats are discussed.

  5. A multi-scale approach to statistical and model-based structural health monitoring with application to embedded sensing for wind energy

    E-Print Network [OSTI]

    Taylor, Stuart Glynn

    2013-01-01T23:59:59.000Z

    Simplified Models for Wind Turbine Blades," in 53rd AIAA/in composite wind turbine blades," Journal of IntelligentState estimate of wind turbine blades using geometrically

  6. A multi-scale approach to statistical and model-based structural health monitoring with application to embedded sensing for wind energy

    E-Print Network [OSTI]

    Taylor, Stuart Glynn

    2013-01-01T23:59:59.000Z

    the LIST Wind Turbine," in 2002 ASME Wind Energy Symposium ,from the LIST turbine," in 2001 ASME Wind Energy Symposium ,wind energy production site in the Great Plains. The Micon 65/13 model turbine

  7. Hydraulic transmissivity and heat exchanges: aperture lowpass filtering model 1 Natural open joints in rocks commonly present multi-scale self-affine apertures. This

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Hydraulic transmissivity and heat exchanges: aperture lowpass filtering model 1 SUMMARY Natural aperture that describes at best the macroscopic properties (hydraulic conductivity, heat exchange of the effective hydraulic and thermal properties (apertures). A detailed study of the influence of the bandwidth

  8. Faculty Position in Multi-scale Manufacturing Technologies

    E-Print Network [OSTI]

    Psaltis, Demetri

    -precision additive manufacturing technologies; · multi-scale micro-precision manufacturing; · high throughput. Christian Enz Search Committee Chair E-mail: manufacturing-search@epfl.ch For additional information on EPFLFaculty Position in Multi-scale Manufacturing Technologies at the Ecole polytechnique fédérale de

  9. Cryptic Faulting and Multi-Scale Geothermal Fluid Connections...

    Open Energy Info (EERE)

    from Mt Resistivity Surveying Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Paper: Cryptic Faulting and Multi-Scale Geothermal Fluid Connections in...

  10. Investigating impacts of natural and human-induced environmental changes on hydrological processes and flood hazards using a GIS-based hydrological/hydraulic model and remote sensing data

    E-Print Network [OSTI]

    Wang, Lei

    2009-06-02T23:59:59.000Z

    a GISbased hydrological and hydraulic modeling system, which incorporates state-of-the-art remote sensing data to simulate flood under various scenarios. The conceptual framework and technical issues of incorporating multi-scale remote sensing data...

  11. Geoelectrical Measurement of Multi-Scale Mass Transfer Parameters

    SciTech Connect (OSTI)

    Day-Lewis, Frederick; Singha, Kamini; Haggerty, Roy; Johnson, Tim; Binley, Andrew; Lane, John

    2014-01-16T23:59:59.000Z

    Mass transfer affects contaminant transport and is thought to control the efficiency of aquifer remediation at a number of sites within the Department of Energy (DOE) complex. An improved understanding of mass transfer is critical to meeting the enormous scientific and engineering challenges currently facing DOE. Informed design of site remedies and long-term stewardship of radionuclide-contaminated sites will require new cost-effective laboratory and field techniques to measure the parameters controlling mass transfer spatially and across a range of scales. In this project, we sought to capitalize on the geophysical signatures of mass transfer. Previous numerical modeling and pilot-scale field experiments suggested that mass transfer produces a geoelectrical signature—a hysteretic relation between sampled (mobile-domain) fluid conductivity and bulk (mobile + immobile) conductivity—over a range of scales relevant to aquifer remediation. In this work, we investigated the geoelectrical signature of mass transfer during tracer transport in a series of controlled experiments to determine the operation of controlling parameters, and also investigated the use of complex-resistivity (CR) as a means of quantifying mass transfer parameters in situ without tracer experiments. In an add-on component to our grant, we additionally considered nuclear magnetic resonance (NMR) to help parse mobile from immobile porosities. Including the NMR component, our revised study objectives were to: 1. Develop and demonstrate geophysical approaches to measure mass-transfer parameters spatially and over a range of scales, including the combination of electrical resistivity monitoring, tracer tests, complex resistivity, nuclear magnetic resonance, and materials characterization; and 2. Provide mass-transfer estimates for improved understanding of contaminant fate and transport at DOE sites, such as uranium transport at the Hanford 300 Area. To achieve our objectives, we implemented a 3-part research plan involving (1) development of computer codes and techniques to estimate mass-transfer parameters from time-lapse electrical data; (2) bench-scale experiments on synthetic materials and materials from cores from the Hanford 300 Area; and (3) field demonstration experiments at the DOE’s Hanford 300 Area. In a synergistic add-on to our workplan, we analyzed data from field experiments performed at the DOE Naturita Site under a separate DOE SBR grant, on which PI Day-Lewis served as co-PI. Techniques developed for application to Hanford datasets also were applied to data from Naturita. 1. Introduction The Department of Energy (DOE) faces enormous scientific and engineering challenges associated with the remediation of legacy contamination at former nuclear weapons production facilities. Selection, design and optimization of appropriate site remedies (e.g., pump-and-treat, biostimulation, or monitored natural attenuation) requires reliable predictive models of radionuclide fate and transport; however, our current modeling capabilities are limited by an incomplete understanding of multi-scale mass transfer—its rates, scales, and the heterogeneity of controlling parameters. At many DOE sites, long “tailing” behavior, concentration rebound, and slower-than-expected cleanup are observed; these observations are all consistent with multi-scale mass transfer [Haggerty and Gorelick, 1995; Haggerty et al., 2000; 2004], which renders pump-and-treat remediation and biotransformation inefficient and slow [Haggerty and Gorelick, 1994; Harvey et al., 1994; Wilson, 1997]. Despite the importance of mass transfer, there are significant uncertainties associated with controlling parameters, and the prevalence of mass transfer remains a point of debate [e.g., Hill et al., 2006; Molz et al., 2006] for lack of experimental methods to verify and measure it in situ or independently of tracer breakthrough. There is a critical need for new field-experimental techniques to measure mass transfer in-situ and estimate multi-scale and spatially variable mass-transfer parame

  12. Multi-Scale Multi-physics Methods Development for the Calculation of Hot-Spots in the NGNP

    SciTech Connect (OSTI)

    Downar, Thomas; Seker, Volkan

    2013-04-30T23:59:59.000Z

    Radioactive gaseous fission products are released out of the fuel element at a significantly higher rate when the fuel temperature exceeds 1600°C in high-temperature gas-cooled reactors (HTGRs). Therefore, it is of paramount importance to accurately predict the peak fuel temperature during all operational and design-basis accident conditions. The current methods used to predict the peak fuel temperature in HTGRs, such as the Next-Generation Nuclear Plant (NGNP), estimate the average fuel temperature in a computational mesh modeling hundreds of fuel pebbles or a fuel assembly in a pebble-bed reactor (PBR) or prismatic block type reactor (PMR), respectively. Experiments conducted in operating HTGRs indicate considerable uncertainty in the current methods and correlations used to predict actual temperatures. The objective of this project is to improve the accuracy in the prediction of local "hot" spots by developing multi-scale, multi- physics methods and implementing them within the framework of established codes used for NGNP analysis. The multi-scale approach which this project will implement begins with defining suitable scales for a physical and mathematical model and then deriving and applying the appropriate boundary conditions between scales. The macro scale is the greatest length that describes the entire reactor, whereas the meso scale models only a fuel block in a prismatic reactor and ten to hundreds of pebbles in a pebble bed reactor. The smallest scale is the micro scale--the level of a fuel kernel of the pebble in a PBR and fuel compact in a PMR--which needs to be resolved in order to calculate the peak temperature in a fuel kernel.

  13. Progress in Fast, Accurate Multi-scale Climate Simulations

    SciTech Connect (OSTI)

    Collins, William D [Lawrence Berkeley National Laboratory (LBNL); Johansen, Hans [Lawrence Berkeley National Laboratory (LBNL); Evans, Katherine J [ORNL; Woodward, Carol S. [Lawrence Livermore National Laboratory (LLNL); Caldwell, Peter [Lawrence Livermore National Laboratory (LLNL)

    2015-01-01T23:59:59.000Z

    We present a survey of physical and computational techniques that have the potential to con- tribute to the next generation of high-fidelity, multi-scale climate simulations. Examples of the climate science problems that can be investigated with more depth include the capture of remote forcings of localized hydrological extreme events, an accurate representation of cloud features over a range of spatial and temporal scales, and parallel, large ensembles of simulations to more effectively explore model sensitivities and uncertainties. Numerical techniques, such as adaptive mesh refinement, implicit time integration, and separate treatment of fast physical time scales are enabling improved accuracy and fidelity in simulation of dynamics and allow more complete representations of climate features at the global scale. At the same time, part- nerships with computer science teams have focused on taking advantage of evolving computer architectures, such as many-core processors and GPUs, so that these approaches which were previously considered prohibitively costly have become both more efficient and scalable. In combination, progress in these three critical areas is poised to transform climate modeling in the coming decades.

  14. Identifying overlapping communities in social networks using multi-scale local information expansion

    E-Print Network [OSTI]

    Li, Hui-Jia; Liu, Zhi-Ping; Chen, Luonan; Zhang, Xiang-Sun

    2015-01-01T23:59:59.000Z

    Most existing approaches for community detection require complete information of the graph in a specific scale, which is impractical for many social networks. We propose a novel algorithm that does not embrace the universal approach but instead of trying to focus on local social ties and modeling multi-scales of social interactions occurring in those networks. Our method for the first time optimizes the topological entropy of a network and uncovers communities through a novel dynamic system converging to a local minimum by simply updating the membership vector with very low computational complexity. It naturally supports overlapping communities through associating each node with a membership vector which describes node's involvement in each community. This way, in addition to uncover overlapping communities, we can also describe different multi-scale partitions by tuning the characteristic size of modules from the optimal partition. Because of the high efficiency and accuracy of the algorithm, it is feasible ...

  15. Mechanical Engineering Department Multi-scale optical metrology and

    E-Print Network [OSTI]

    Furlong, Cosme

    Mechanical Engineering Department Multi-scale optical metrology and nondestructive testing: CAMET;Mechanical Engineering Department Motivation: production cycle with CAD/CAE/CAM support CAD/CAE Computer #12;Mechanical Engineering Department 200 mm Microscale and Nanoscale Macroscale Actual blade

  16. Multi-Scale Characterization: Evaluation of Microstructural and Superconducting

    E-Print Network [OSTI]

    Multiple Length Scales in 2nd Generation HTS Wire. MultiMulti--Scale Characterization: Evaluation of Across Multiple Length Scales inProperties Across Multiple Length Scales in 22ndnd Generation HTS Wire.Generation HTS Wire. Terry Holesinger and Leonardo Civale Superconductivity Technology Center Los Alamos National

  17. Collaborating for Multi-Scale Chemical Science

    SciTech Connect (OSTI)

    William H. Green

    2006-07-14T23:59:59.000Z

    Advanced model reduction methods were developed and integrated into the CMCS multiscale chemical science simulation software. The new technologies were used to simulate HCCI engines and burner flames with exceptional fidelity.

  18. A framework for benchmarking land models

    SciTech Connect (OSTI)

    Luo, Yiqi; Randerson, J.; Abramowitz, G.; Bacour, C.; Blyth, E.; Carvalhais, N.; Ciais, Philippe; Dalmonech, D.; Fisher, J.B.; Fisher, R.; Friedlingstein, P.; Hibbard, Kathleen A.; Hoffman, F. M.; Huntzinger, Deborah; Jones, C.; Koven, C.; Lawrence, David M.; Li, D.J.; Mahecha, M.; Niu, S.L.; Norby, Richard J.; Piao, S.L.; Qi, X.; Peylin, P.; Prentice, I.C.; Riley, William; Reichstein, M.; Schwalm, C.; Wang, Y.; Xia, J. Y.; Zaehle, S.; Zhou, X. H.

    2012-10-09T23:59:59.000Z

    Land models, which have been developed by the modeling community in the past few decades to predict future states of ecosystems and climate, have to be critically evaluated for their performance skills of simulating ecosystem responses and feedback to climate change. Benchmarking is an emerging procedure to measure performance of models against a set of defined standards. This paper proposes a benchmarking framework for evaluation of land model performances and, meanwhile, highlights major challenges at this infant stage of benchmark analysis. The framework includes (1) targeted aspects of model performance to be evaluated, (2) a set of benchmarks as defined references to test model performance, (3) metrics to measure and compare performance skills among models so as to identify model strengths and deficiencies, and (4) model improvement. Land models are required to simulate exchange of water, energy, carbon and sometimes other trace gases between the atmosphere and land surface, and should be evaluated for their simulations of biophysical processes, biogeochemical cycles, and vegetation dynamics in response to climate change across broad temporal and spatial scales. Thus, one major challenge is to select and define a limited number of benchmarks to effectively evaluate land model performance. The second challenge is to develop metrics of measuring mismatches between models and benchmarks. The metrics may include (1) a priori thresholds of acceptable model performance and (2) a scoring system to combine data–model mismatches for various processes at different temporal and spatial scales. The benchmark analyses should identify clues of weak model performance to guide future development, thus enabling improved predictions of future states of ecosystems and climate. The near-future research effort should be on development of a set of widely acceptable benchmarks that can be used to objectively, effectively, and reliably evaluate fundamental properties of land models to improve their prediction performance skills.

  19. Multi-scale coarse-graining of non-conservative interactions in molecular liquids

    SciTech Connect (OSTI)

    Izvekov, Sergei, E-mail: sergiy.izvyekov.civ@mail.mil; Rice, Betsy M. [U.S. Army Research Laboratory, Aberdeen Proving Ground, Maryland 21005 (United States)] [U.S. Army Research Laboratory, Aberdeen Proving Ground, Maryland 21005 (United States)

    2014-03-14T23:59:59.000Z

    A new bottom-up procedure for constructing non-conservative (dissipative and stochastic) interactions for dissipative particle dynamics (DPD) models is described and applied to perform hierarchical coarse-graining of a polar molecular liquid (nitromethane). The distant-dependent radial and shear frictions in functional-free form are derived consistently with a chosen form for conservative interactions by matching two-body force-velocity and three-body velocity-velocity correlations along the microscopic trajectories of the centroids of Voronoi cells (clusters), which represent the dissipative particles within the DPD description. The Voronoi tessellation is achieved by application of the K-means clustering algorithm at regular time intervals. Consistently with a notion of many-body DPD, the conservative interactions are determined through the multi-scale coarse-graining (MS-CG) method, which naturally implements a pairwise decomposition of the microscopic free energy. A hierarchy of MS-CG/DPD models starting with one molecule per Voronoi cell and up to 64 molecules per cell is derived. The radial contribution to the friction appears to be dominant for all models. As the Voronoi cell sizes increase, the dissipative forces rapidly become confined to the first coordination shell. For Voronoi cells of two and more molecules the time dependence of the velocity autocorrelation function becomes monotonic and well reproduced by the respective MS-CG/DPD models. A comparative analysis of force and velocity correlations in the atomistic and CG ensembles indicates Markovian behavior with as low as two molecules per dissipative particle. The models with one and two molecules per Voronoi cell yield transport properties (diffusion and shear viscosity) that are in good agreement with the atomistic data. The coarser models produce slower dynamics that can be appreciably attributed to unaccounted dissipation introduced by regular Voronoi re-partitioning as well as by larger numerical errors in mapping out the dissipative forces. The framework presented herein can be used to develop computational models of real liquids which are capable of bridging the atomistic and mesoscopic scales.

  20. Multi-scale quantum simulation of quantum field theory using wavelets

    E-Print Network [OSTI]

    Gavin K. Brennen; Peter Rohde; Barry C. Sanders; Sukhwinder Singh

    2014-12-02T23:59:59.000Z

    A successful approach to understand field theories is to resolve the physics into different length or energy scales using the renormalization group framework. We propose a quantum simulation of quantum field theory which encodes field degrees of freedom in a wavelet basis---a multi-scale description of the theory. Since wavelets are compact wavefunctions, this encoding allows for quantum simulations to create particle excitations with compact support and provides a natural way to associate observables in the theory to finite resolution detectors. We show that the wavelet basis is well suited to compute subsystem entanglement entropy by dividing the field into contributions from short-range wavelet degrees of freedom and long-range scale degrees of freedom, of which the latter act as renormalized modes which capture the essential physics at a renormalization fixed point.

  1. Computational modeling of metal-organic frameworks

    E-Print Network [OSTI]

    Sung, Jeffrey Chuen-Fai; Sung, Jeffrey Chuen-Fai

    2012-01-01T23:59:59.000Z

    11 1.3.1. Carbon Capture andOrganic Frameworks 1.3.1. Carbon Capture and Separation Theuseful materials for carbon capture and separation. In a

  2. COMMUNICATION TO THE EDITOR A Restructured Framework for Modeling

    E-Print Network [OSTI]

    Daugulis, Andrew J.

    COMMUNICATION TO THE EDITOR A Restructured Framework for Modeling Oxygen Transfer in Two: This communication proposes a mechanistic modification to a recently published method for analyzing oxygen mass

  3. Multi-scale analysis and simulation of powder blending in pharmaceutical manufacturing

    E-Print Network [OSTI]

    Ngai, Samuel S. H

    2005-01-01T23:59:59.000Z

    A Multi-Scale Analysis methodology was developed and carried out for gaining fundamental understanding of the pharmaceutical powder blending process. Through experiment, analysis and computer simulations, microscopic ...

  4. Multi-scale thermalhydraulic analyses performed in Nuresim and Nurisp projects

    SciTech Connect (OSTI)

    Bestion, D. [CEA-Grenoble, DEN-DANS-DM2S, Grenoble, (France); Lucas, D. [Helmholtz-Zentrum Dresden-Rossendorf, Dresden, (Germany); Anglart, H. [KTH Royal Institute of Technology, Stockholm, (Sweden); Niceno, B. [Paul Scherrer Institute, Villingen, (Switzerland); Vyskocil, L. [Nuclear Research Institute Rez plc, Rez, (Czech Republic)

    2012-07-01T23:59:59.000Z

    The NURESIM and NURISP successive projects of the 6. and 7. European Framework Programs joined the efforts of 21 partners for developing and validating a reference multi-physics and multi-scale platform for reactor simulation. The platform includes system codes, component codes, and also CFD or CMFD simulation tools. Fine scale CFD simulations are useful for a better understanding of physical processes, for the prediction of small scale geometrical effects and for solving problems that require a fine space and/or time resolution. Many important safety issues usually treated at the system scale may now benefit from investigations at a CFD scale. The Pressurized Thermal Shock is investigated using several simulation scales including Direct Numerical Simulation, Large Eddy Simulation, Very Large Eddy Simulation and RANS approaches. At the end a coupling of system code and CFD is applied. Condensation Induced Water-Hammer was also investigated at both CFD and 1-D scale. Boiling flow in a reactor core up to Departure from Nucleate Boiling or Dry-Out is investigated at scales much smaller than the classical subchannel analysis codes. DNS was used to investigate very local processes whereas CFD in both RANS and LES was used to simulate bubbly flow and Euler-Lagrange simulations were used for annular mist flow investigations. Loss of Coolant Accidents are usually treated by system codes. Some related issues are now revisited at the CFD scale. In each case the progress of the analysis is summarized and the benefit of the multi-scale approach is shown. (authors)

  5. Maximization of permanent trapping of CO{sub 2} and co-contaminants in the highest-porosity formations of the Rock Springs Uplift (Southwest Wyoming): experimentation and multi-scale modeling

    SciTech Connect (OSTI)

    Piri, Mohammad

    2014-03-31T23:59:59.000Z

    Under this project, a multidisciplinary team of researchers at the University of Wyoming combined state-of-the-art experimental studies, numerical pore- and reservoir-scale modeling, and high performance computing to investigate trapping mechanisms relevant to geologic storage of mixed scCO{sub 2} in deep saline aquifers. The research included investigations in three fundamental areas: (i) the experimental determination of two-­?phase flow relative permeability functions, relative permeability hysteresis, and residual trapping under reservoir conditions for mixed scCO{sub 2}-­?brine systems; (ii) improved understanding of permanent trapping mechanisms; (iii) scientifically correct, fine grid numerical simulations of CO{sub 2} storage in deep saline aquifers taking into account the underlying rock heterogeneity. The specific activities included: (1) Measurement of reservoir-­?conditions drainage and imbibition relative permeabilities, irreducible brine and residual mixed scCO{sub 2} saturations, and relative permeability scanning curves (hysteresis) in rock samples from RSU; (2) Characterization of wettability through measurements of contact angles and interfacial tensions under reservoir conditions; (3) Development of physically-­?based dynamic core-­?scale pore network model; (4) Development of new, improved high-­? performance modules for the UW-­?team simulator to provide new capabilities to the existing model to include hysteresis in the relative permeability functions, geomechanical deformation and an equilibrium calculation (Both pore-­? and core-­?scale models were rigorously validated against well-­?characterized core-­? flooding experiments); and (5) An analysis of long term permanent trapping of mixed scCO{sub 2} through high-­?resolution numerical experiments and analytical solutions. The analysis takes into account formation heterogeneity, capillary trapping, and relative permeability hysteresis.

  6. A Document Model Management Framework based on Core Components

    E-Print Network [OSTI]

    A Document Model Management Framework based on Core Components Michael Strommer, Christian Pichler for a consistent framework for the management of electronic business documents, together with tool support rises. Tools, that foster the management of document models in a way to overcome interoperability issues

  7. A NONLINEAR MODELING FRAMEWORK FOR AUTONOMOUS CRUISE CONTROL Gabor Orosz

    E-Print Network [OSTI]

    Daly, Samantha

    .) and allows optimization in the entire torque and engine speed range (e.g., for energy consumption). NONLINEARA NONLINEAR MODELING FRAMEWORK FOR AUTONOMOUS CRUISE CONTROL G´abor Orosz Department of Mechanical A nonlinear modeling framework is presented for au- tonomous cruise control (ACC) equipped vehicles which

  8. A Simulation and Modeling Framework for Space Situational Awareness

    SciTech Connect (OSTI)

    Olivier, S S

    2008-09-15T23:59:59.000Z

    This paper describes the development and initial demonstration of a new, integrated modeling and simulation framework, encompassing the space situational awareness enterprise, for quantitatively assessing the benefit of specific sensor systems, technologies and data analysis techniques. The framework is based on a flexible, scalable architecture to enable efficient, physics-based simulation of the current SSA enterprise, and to accommodate future advancements in SSA systems. In particular, the code is designed to take advantage of massively parallel computer systems available, for example, at Lawrence Livermore National Laboratory. The details of the modeling and simulation framework are described, including hydrodynamic models of satellite intercept and debris generation, orbital propagation algorithms, radar cross section calculations, optical brightness calculations, generic radar system models, generic optical system models, specific Space Surveillance Network models, object detection algorithms, orbit determination algorithms, and visualization tools. The use of this integrated simulation and modeling framework on a specific scenario involving space debris is demonstrated.

  9. MULTI-SCALE ANALYSIS OF MULTIPARAMETER GEOPHYSICAL AND GEOCHEMICAL DATA FROM

    E-Print Network [OSTI]

    Williams-Jones, Glyn

    MULTI-SCALE ANALYSIS OF MULTIPARAMETER GEOPHYSICAL AND GEOCHEMICAL DATA FROM ACTIVE VOLCANIC Name: MAURI Guillaume Degree: PhD of Science Title of Thesis: Multi-scale analysis of multiparameter geophysical and geochemical data from active volcanic systems Examining Committee: Chair: Dr John Clague

  10. A framework for benchmarking land models

    E-Print Network [OSTI]

    2012-01-01T23:59:59.000Z

    their inclu- sion in Earth system models (ESMs). State-of-land models cou- pled to Earth system models should simulateland models within Earth system models, however, can help

  11. Multi-Scale Indentation Hardness Testing; A Correlation and Model

    E-Print Network [OSTI]

    Bennett, Damon W.

    2010-01-20T23:59:59.000Z

    d Indentation diagonal PA Projected cross-sectional contact area SA Actual contact surface area g Gravitational acceleration ITH Indentation hardness mp Mean contact pressure C Constraint factor E Elastic modulus of the sample /E Elastic... result, it is used in corrosive environments such as oil and gas pipelines. Other pertinent properties for tantalum are discussed below. Tantalum is classified as a refractory metal (heat resistant metals with melting temperatures over 3000?F (1650?C...

  12. High-resolution, multi-scale modeling of watershed hydrology

    E-Print Network [OSTI]

    Vivoni, Enrique R.

    Enrique R. Vivoni An Opportunity to Integrate Remote Sensing Observations, Field Data Collection distribution of topography, rainfall, soils, vegetation, meteorology, soil moisture. Field Data and Remote's Hydrologic and Energetic System: Water and Heat Storages and Transports over Many Time and Space Scales P ET

  13. Model Reference Adaptive Control Framework for Real Time Traffic

    E-Print Network [OSTI]

    Minnesota, University of

    Adaptive Control #12;12 Prescriptive Dynamic Traffic Assignment A Prediction Model and the Reference ModelModel Reference Adaptive Control Framework for Real Time Traffic Management Under Emergency Movement Volume Adaptive Controller Model Reference Adaptive Control (MRAC) Assumptions Super Zone Concept

  14. A Framework for Modeling Strategy, Business Processes and Information Systems

    E-Print Network [OSTI]

    A Framework for Modeling Strategy, Business Processes and Information Systems André Vasconcelos, an organization requires modeling its business processes. Business process modeling comprises the description is used not only in the business but also in the software domain. To represent the goal model, we propose

  15. Equalization for Multi-scale Multi-lag OFDM Zijian Tang , Rob Remis, Tao Xu, Geert Leus and Magnus Lundberg Nordenvaad

    E-Print Network [OSTI]

    Leus, Geert

    incident angles. The former gives rise to the multi-lag effect; the latter implies that the radial velocity Doppler effects (manifested in signal scales) and time of arrivals (manifested in lags). We capture such an effect in this paper with a multi-scale multi-lag (MSML) model, and show that the resulting frequency

  16. Multi-scale investigation of sheared flows in magnetized plasmas

    SciTech Connect (OSTI)

    Thomas, Jr., Dr. Edward

    2014-09-19T23:59:59.000Z

    Flows parallel and perpendicular to magnetic fields in a plasma are important phenomena in many areas of plasma science research. The presence of these spatially inhomogeneous flows is often associated with the stability of the plasma. In fusion plasmas, these sheared flows can be stabilizing while in space plasmas, these sheared flows can be destabilizing. Because of this, there is broad interest in understanding the coupling between plasma stability and plasma flows. This research project has engaged in a study of the plasma response to spatially inhomogeneous plasma flows using three different experimental devices: the Auburn Linear Experiment for Instability Studies (ALEXIS) and the Compact Toroidal Hybrid (CTH) stellarator devices at Auburn University, and the Space Plasma Simulation Chamber (SPSC) at the Naval Research Laboratory. This work has shown that there is a commonality of the plasma response to sheared flows across a wide range of plasma parameters and magnetic field geometries. The goal of this multi-device, multi-scale project is to understand how sheared flows established by the same underlying physical mechanisms lead to different plasma responses in fusion, laboratory, and space plasmas.

  17. A Framework for Modeling Uncertainty in Regional Climate Change

    E-Print Network [OSTI]

    Monier, Erwan

    In this study, we present a new modeling framework and a large ensemble of climate projections to investigate the uncertainty in regional climate change over the US associated with four dimensions of uncertainty. The sources ...

  18. Next Generation Multi-Scale Quantum Simulation Software for Strongly Correlated Materials

    SciTech Connect (OSTI)

    Jarrell, Mark

    2014-11-18T23:59:59.000Z

    The goal of this project was to develop a new formalism for the correlated electron problem, which we call, the Multi Scale Many Body formalism. This report will focus on the work done at the Louisiana State University (LSU) since the mid term report. The LSU group moved from the University of Cincinnati (UC) to LSU in the summer of 2008. In the last full year at UC, only half of the funds were received and it took nearly two years for the funds to be transferred from UC to LSU . This effectively shut down the research at LSU until the transfer was completed in 2011, there were also two no-cost extensions of the grant until August of this year. The grant ended for the other SciDAC partners at Davis and ORNL in 2011. Since the mid term report, the LSU group has published 19 papers [P1-P19] acknowledging this SciDAC, which are listed below. In addition, numerous invited talked acknowledged the SciDAC. Below, we will summarize the work at LSU since the mid-term report and mainly since funding resumed. The projects include the further development of multi-scale methods for correlated systems (1), the study of quantum criticality at finite doping in the Hubbard model (2), the description of a promising new method to study Anderson localization with a million-fold reduction of computational complexity!, the description of other projects (4), and (5) a workshop to close out the project that brought together exascale program developers (Stellar, MPI, OpenMP,...) with applications developers.

  19. Design, fabrication and mechanical optimization of multi-scale anisotropic feet for terrestrial locomotion

    E-Print Network [OSTI]

    Morin, Jeffrey W. (Jeffrey William)

    2011-01-01T23:59:59.000Z

    Multi-scale surface interaction methods have been studied to achieve optimal locomotion over surface features of differing length scales. It has been shown that anisotropy is a convenient way of transferring an undirected ...

  20. Multi-scale theories for the MJO Andrew J. Majda and Samuel N. Stechmann

    E-Print Network [OSTI]

    Stechmann, Samuel N.

    Multi-scale theories for the MJO Andrew J. Majda and Samuel N. Stechmann November 24, 2010 1 MJO events (Lin and Johnson, 1996; Yanai et al., 2000; Houze et al., 2000). From these ob- servations

  1. Multi-scale problems, high performance computing and hybrid numerical methods

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Multi-scale problems, high performance computing and hybrid numerical methods G. Balarac, G of High Performance Computing (HPC) is not anymore restricted to academia and scientific grand challenges

  2. Multi-scale problems, high performance computing and hybrid numerical methods

    E-Print Network [OSTI]

    Cottet, Georges-Henri

    Multi-scale problems, high performance computing and hybrid numerical methods G. Balarac, G of High Performance Computing G. Balarac LEGI, CNRS and Universit´e de Grenoble, BP 53, 38041 Grenoble

  3. Computational modeling of metal-organic frameworks

    E-Print Network [OSTI]

    Sung, Jeffrey Chuen-Fai; Sung, Jeffrey Chuen-Fai

    2012-01-01T23:59:59.000Z

    listed in Table 2.1. The SPC (Single Point Charge) family ofvdW parameters. A ?exible variant of the SPC water modelis the SPC/Fw model of Voth,m which adds harmonic bond and

  4. A multiphase constitutive modeling framework for unsaturated soil behavior

    E-Print Network [OSTI]

    Giang D. Nguyen; Yixiang Gan

    2014-01-26T23:59:59.000Z

    We develop a framework for constitutive modeling of unsaturated soils that has the embedded elements of lower scale grain to grain contacts. Continuum models developed from this framework will possess two different phases idealizing the solid grains and their interactions. As a consequence, two different constitutive relationships, corresponding to the grain to grain contact and bulk behavior, co-exist in a constitutive model and govern the response of the model. To be specific, grain to grain sliding under dry or wet condition is idealized and appears as a simple contact law embedded in a continuum framework. There is no need to define plastic strain, as this quantity naturally emerges at the continuum scale as the consequence of frictional sliding at the lower scale. In addition, the effective stress can be naturally worked out from the grain to grain contact law embedded in the model without being subjected to any interpretation. This, in our opinion, is a closer representation of unsaturated soil behavior, compared to existing continuum approaches that map everything onto a single stress-strain relationship. In this paper, the framework is presented in its simplest form that takes into account sliding on a single orientation. Grain to grain contact law with capillary effects is used for the demonstration of the concept, and the technical details behind it. Generalization of the framework for better representation of unsaturated soil behavior will also be sketched out.

  5. Constructal multi-scale package of vertical channels with natural convection and maximal heat transfer density. CONSTRUCTAL DESIGN: THE GENERATION OF MULTI-SCALE HEAT

    E-Print Network [OSTI]

    Kihm, IconKenneth David

    transfer density. CONSTRUCTAL DESIGN: THE GENERATION OF MULTI-SCALE HEAT AND FLUID FLOW STRUCTURES-scale structures in natural convection with the objective of maximizing the heat transfer density, or the heat transfer rate per unit of volume§ . The flow volume is filled with vertical equidistant heated blades

  6. 3-D HYDRODYNAMIC MODELING IN A GEOSPATIAL FRAMEWORK

    SciTech Connect (OSTI)

    Bollinger, J; Alfred Garrett, A; Larry Koffman, L; David Hayes, D

    2006-08-24T23:59:59.000Z

    3-D hydrodynamic models are used by the Savannah River National Laboratory (SRNL) to simulate the transport of thermal and radionuclide discharges in coastal estuary systems. Development of such models requires accurate bathymetry, coastline, and boundary condition data in conjunction with the ability to rapidly discretize model domains and interpolate the required geospatial data onto the domain. To facilitate rapid and accurate hydrodynamic model development, SRNL has developed a pre- and post-processor application in a geospatial framework to automate the creation of models using existing data. This automated capability allows development of very detailed models to maximize exploitation of available surface water radionuclide sample data and thermal imagery.

  7. Ontology Design and Development Framework Part I: Enhancing Modeling

    E-Print Network [OSTI]

    Demurjian, Steven A.

    terminologies representing a semantic agreement between humans and knowledge systems. Numerous knowledge representational frameworks (e.g. KIF, DAML+OIL, OWL etc.), have been proposed in the research community, with limited adoption in the industry. One possible reason is a lack of a formal and rigorous model

  8. Extracting Business Rules from COBOL: A Model-Based Framework

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Extracting Business Rules from COBOL: A Model-Based Framework Valerio Cosentino AtlanMod, INRIA in their Information Systems for their daily operations. This logic im- plements the business rules in place clear which business rules are enforced nor whether rules are still consistent with the current

  9. A Scalable Multi-scale Framework for Parallel Simulation and Visualization of Microbial Evolution

    E-Print Network [OSTI]

    Tagkopoulos, Ilias

    steps to address scalability issues for populations beyond 32,000 cells. Categories and Subject new strains with desired proprieties (e.g. resilient strains for recombinant protein or bio-fuels, or are responsible for phenotypic divergence within a species, the underlying mechanism by which complex behavior

  10. A Multi-scale Framework for Thermo-viscoelastic Analysis of Fiber Metal Laminates

    E-Print Network [OSTI]

    Sawant, Sourabh P.

    2010-01-14T23:59:59.000Z

    Fiber Metal Laminates (FML) are hybrid composites with alternate layers of orthotropic fiber reinforced polymers (FRP) and isotropic metal alloys. FML can exhibit a nonlinear thermo-viscoelastic behavior under the influence of external mechanical...

  11. A Multi-scale Framework for Thermo-viscoelastic Analysis of Fiber Metal Laminates 

    E-Print Network [OSTI]

    Sawant, Sourabh P.

    2010-01-14T23:59:59.000Z

    under constant stress (creep loading) or constant strain (relaxation test). The tests are performed on several off-axis FRP specimens at various load levels and/or several environmental conditions. Depending on the fiber materials and duration.................................................................................................... 40 2.2 Creep strain response for Kevlar/epoxy composite for ? = 0?, 30?, 45?, 60? & 90? at ? = 0.1S ut ? ...................................................................... 43 2.3 Creep strain response for glass/epoxy (? = 30...

  12. Image Segmentation Based on GrabCut Framework Integrating Multi-scale Nonlinear Structure Tensor

    E-Print Network [OSTI]

    Soatto, Stefano

    Shoudong Han, Wenbing Tao, Desheng Wang Xue-cheng Tai, Xianglin Wu ABSTRACT In this paper, we propose contained in images and their unpredictable complexity, manual segmentation is tedious and time consuming automatically or semi-automatically with minimal user input. Existing image segmentation algorithms can

  13. Multi-scale framework for the accelerated design of high-efficiency organic

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'.SolarUS Dept ofActing ChiefofStöhr Research

  14. Multi-scale Characterization of Collagen-based Material and its Correlation to the Neuronal Differentiation of Embryonic Stem Cell

    E-Print Network [OSTI]

    Hwang, Yu-Jer

    2012-01-01T23:59:59.000Z

    as a substrate material. Experimental Section Supramolecularmaterials: multi-scale and multi-modality characterization Abstract .5 Introduction 6 Experimental Section Supramolecular

  15. Study of Multi-Scale Plant-Groundwater Interactions

    E-Print Network [OSTI]

    Gou, Si

    2014-05-30T23:59:59.000Z

    equations developed may be used, with only minor adaptations, in a range of Earth system models. We adapted our system dynamics model to simulate the water uptake of the blue oaks at the Tonzi Ranch site. The shallow soil layer was divided into three soil...

  16. Study of Multi-Scale Plant-Groundwater Interactions 

    E-Print Network [OSTI]

    Gou, Si

    2014-05-30T23:59:59.000Z

    groundwater-land surface model, ParFlow.CLM, to develop a spatial distributed ecohydrological model at the stand scale (~1000 m^(2)). The modified ParFlow.CLM was used to conduct a 8-year simulation with half hourly time step at a AmeriFlux oak savanna site...

  17. CONTAM 01 MultiScale Soil Sensor Network in Support of Groundwater Quality Team Members

    E-Print Network [OSTI]

    California at Los Angeles, University of

    CONTAM 01 MultiScale Soil Sensor Network in Support of Groundwater Quality Protection Team Members of the ongoing CENS investigation into reclaimed wastewater infiltration into shallow soils and groundwater recharge. Groundwater resources are typically over-drafted during dry periods in arid and semi

  18. A multi-scale bone study to estimate the risk of fracture related to osteoporosis

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A multi-scale bone study to estimate the risk of fracture related to osteoporosis Abdelwahed' Orléans, 8, Rue Léonard de Vinci 45072 Orléans, France Objective: Osteoporosis is a disease marked. Bone fractures caused by the osteoporosis become increasingly important goal for both clinicians

  19. Non-Destructive Whole Lung Assessment via Multi-scale Micro CT Imaging Combined with Stereology

    E-Print Network [OSTI]

    Wang, Ge

    Non-Destructive Whole Lung Assessment via Multi-scale Micro CT Imaging Combined with Stereology Tech, Virginia, USA Running head Non-Destructive Whole Lung Assessment via µCT Contact Information Eric-hoffman@uiowa.edu Phone: 319-353-6213 Fax: 319-356-1503 #12;Abstract Estimating volume fractions of the lung parenchyma

  20. The heliosphere as a multi scale engine Nicole Meyer-Vernet

    E-Print Network [OSTI]

    Meyer-Vernet, Nicole

    The heliosphere as a multi scale engine Nicole Meyer-Vernet CNRS, LESIA, Observatoire de Paris IHY European general Assembly Paris, January 11, 2006 nicole.meyer@obspm.fr http://calys.obspm.fr/~meyer ... a plea for basic physics N. Meyer-Vernet IHY 2006 N. Meyer-Vernet IHY 2006 Understanding the heliosphere

  1. 3D multi-scale imaging of experimental fracture generation in shale gas reservoirs.

    E-Print Network [OSTI]

    Henderson, Gideon

    in research and shale unconventional reservoirs that will provide you with the skills to enter the oil and gas3D multi-scale imaging of experimental fracture generation in shale gas reservoirs. Supervisory-grained organic carbon-rich rocks (shales) are increasingly being targeted as shale gas "reservoirs". Due

  2. Formation of Nuclear Disks and Supermassive Black Hole Binaries in Multi-Scale Hydrodynamical Galaxy Mergers

    E-Print Network [OSTI]

    Lucio Mayer; Stelios Kazantzidis; Andres Escala

    2008-07-22T23:59:59.000Z

    (Abridged) We review the results of the first multi-scale, hydrodynamical simulations of mergers between galaxies with central supermassive black holes (SMBHs) to investigate the formation of SMBH binaries in galactic nuclei. We demonstrate that strong gas inflows produce nuclear disks at the centers of merger remnants whose properties depend sensitively on the details of gas thermodynamics. In numerical simulations with parsec-scale spatial resolution in the gas component and an effective equation of state appropriate for a starburst galaxy, we show that a SMBH binary forms very rapidly, less than a million years after the merger of the two galaxies. Binary formation is significantly suppressed in the presence of a strong heating source such as radiative feedback by the accreting SMBHs. We also present preliminary results of numerical simulations with ultra-high spatial resolution of 0.1 pc in the gas component. These simulations resolve the internal structure of the resulting nuclear disk down to parsec scales and demonstrate the formation of a central massive object (~ 10^8 Mo) by efficient angular momentum transport. This is the first time that a radial gas inflow is shown to extend to parsec scales as a result of the dynamics and hydrodynamics involved in a galaxy merger, and has important implications for the fueling of SMBHs. Due to the rapid formation of the central clump, the density of the nuclear disk decreases significantly in its outer region, reducing dramatically the effect of dynamical friction and leading to the stalling of the two SMBHs at a separation of ~1 pc. We discuss how the orbital decay of the black holes might continue in a more realistic model which incorporates star formation and the multi-phase nature of the ISM.

  3. Framework for Coupling Room Air Models to Heat Balance Model Load and Energy Calculations (RP-1222)

    E-Print Network [OSTI]

    Chen, Qingyan "Yan"

    1 Framework for Coupling Room Air Models to Heat Balance Model Load and Energy Calculations (RP in a program for hourly load calculations of a single thermal zone. The heat balance model for load and energy to heat balance model load and energy calculations," HVAC&R Research, 10(2), 91-111. #12;2 · Mixed

  4. CIMS: A FRAMEWORK FOR INFRASTRUCTURE INTERDEPENDENCY MODELING AND ANALYSIS

    SciTech Connect (OSTI)

    Donald D. Dudenhoeffer; May R. Permann; Milos Manic

    2006-12-01T23:59:59.000Z

    Today’s society relies greatly upon an array of complex national and international infrastructure networks such as transportation, utilities, telecommunication, and even financial networks. While modeling and simulation tools have provided insight into the behavior of individual infrastructure networks, a far less understood area is that of the interrelationships among multiple infrastructure networks including the potential cascading effects that may result due to these interdependencies. This paper first describes infrastructure interdependencies as well as presenting a formalization of interdependency types. Next the paper describes a modeling and simulation framework called CIMS© and the work that is being conducted at the Idaho National Laboratory (INL) to model and simulate infrastructure interdependencies and the complex behaviors that can result.

  5. Kevoree Modeling Framework (KMF): Efficient modeling techniques for runtime use

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    of expertise. A natural approach to create DSLs is to reuse existing modeling standards and tools. In this area-Oriented software API, generated from a metamodel, facilitating the authoring and exchange of domain-specific concepts between several tools, applications and stakeholders. This API can for example support graphical

  6. Geoelectrical Measurement of Multi-Scale Mass Transfer Parameters

    SciTech Connect (OSTI)

    Day-Lewis, Frederick David [U.S. Geological Survey; Singha, Kamini [Colorado School of Mines; Johnson, Timothy C. [Pacific Northwest National Laboratory; Haggerty, Roy [Oregon State; Binley, Andrew [Lancaster University; Lane, John W. [US Geological Survey

    2014-11-25T23:59:59.000Z

    Mass transfer affects contaminant transport and is thought to control the efficiency of aquifer remediation at a number of sites within the Department of Energy (DOE) complex. An improved understanding of mass transfer is critical to meeting the enormous scientific and engineering challenges currently facing DOE. Informed design of site remedies and long-term stewardship of radionuclide-contaminated sites will require new cost-effective laboratory and field techniques to measure the parameters controlling mass transfer spatially and across a range of scales. In this project, we sought to capitalize on the geophysical signatures of mass transfer. Previous numerical modeling and pilot-scale field experiments suggested that mass transfer produces a geoelectrical signature—a hysteretic relation between sampled (mobile-domain) fluid conductivity and bulk (mobile + immobile) conductivity—over a range of scales relevant to aquifer remediation. In this work, we investigated the geoelectrical signature of mass transfer during tracer transport in a series of controlled experiments to determine the operation of controlling parameters, and also investigated the use of complex-resistivity (CR) as a means of quantifying mass transfer parameters in situ without tracer experiments. In an add-on component to our grant, we additionally considered nuclear magnetic resonance (NMR) to help parse mobile from immobile porosities. Including the NMR component, our revised study objectives were to: 1. Develop and demonstrate geophysical approaches to measure mass-transfer parameters spatially and over a range of scales, including the combination of electrical resistivity monitoring, tracer tests, complex resistivity, nuclear magnetic resonance, and materials characterization; and 2. Provide mass-transfer estimates for improved understanding of contaminant fate and transport at DOE sites, such as uranium transport at the Hanford 300 Area. To achieve our objectives, we implemented a 3-part research plan involving (1) development of computer codes and techniques to estimate mass-transfer parameters from time-lapse electrical data; (2) bench-scale experiments on synthetic materials and materials from cores from the Hanford 300 Area; and (3) field demonstration experiments at the DOE’s Hanford 300 Area. In a synergistic add-on to our workplan, we analyzed data from field experiments performed at the DOE Naturita Site under a separate DOE SBR grant, on which PI Day-Lewis served as co-PI. Techniques developed for application to Hanford datasets also were applied to data from Naturita.

  7. CVSys: A Coordination Framework for Dynamic and Fully Distributed Cardiovascular Modeling and Simulation

    E-Print Network [OSTI]

    California at Irvine, University of

    CVSys: A Coordination Framework for Dynamic and Fully Distributed Cardiovascular Modeling and dynamic simulation control. This coordination framework uniquely incorporates attributes of open indigenous and a more integrated system representation. Dynamic simulation control serves to interject new

  8. SEME FRAMEWORK

    Energy Science and Technology Software Center (OSTI)

    003284MLTPL00 Sequentially Executed Model Evaluation Framework  https://software.sandia.gov/svn/teva/canary 

  9. Multi-Scale Experiments in Turbulent Subcooled Boiling Flow Through a Square Channel with a Single Heated Wall

    E-Print Network [OSTI]

    Estrada Perez, Carlos Eduardo

    2014-12-12T23:59:59.000Z

    In this work, visualization experimental techniques that provide whole-field and multi-scale measurements of the liquid turbulence parameters, liquid and heater wall temperatures, and gas phase local parameters, were used to study subcooled boiling...

  10. AN INTEGRATED MODELING FRAMEWORK FOR CARBON MANAGEMENT TECHNOLOGIES

    SciTech Connect (OSTI)

    Anand B. Rao; Edward S. Rubin; Michael B. Berkenpas

    2004-03-01T23:59:59.000Z

    CO{sub 2} capture and storage (CCS) is gaining widespread interest as a potential method to control greenhouse gas emissions from fossil fuel sources, especially electric power plants. Commercial applications of CO{sub 2} separation and capture technologies are found in a number of industrial process operations worldwide. Many of these capture technologies also are applicable to fossil fuel power plants, although applications to large-scale power generation remain to be demonstrated. This report describes the development of a generalized modeling framework to assess alternative CO{sub 2} capture and storage options in the context of multi-pollutant control requirements for fossil fuel power plants. The focus of the report is on post-combustion CO{sub 2} capture using amine-based absorption systems at pulverized coal-fired plants, which are the most prevalent technology used for power generation today. The modeling framework builds on the previously developed Integrated Environmental Control Model (IECM). The expanded version with carbon sequestration is designated as IECM-cs. The expanded modeling capability also includes natural gas combined cycle (NGCC) power plants and integrated coal gasification combined cycle (IGCC) systems as well as pulverized coal (PC) plants. This report presents details of the performance and cost models developed for an amine-based CO{sub 2} capture system, representing the baseline of current commercial technology. The key uncertainties and variability in process design, performance and cost parameters which influence the overall cost of carbon mitigation also are characterized. The new performance and cost models for CO{sub 2} capture systems have been integrated into the IECM-cs, along with models to estimate CO{sub 2} transport and storage costs. The CO{sub 2} control system also interacts with other emission control technologies such as flue gas desulfurization (FGD) systems for SO{sub 2} control. The integrated model is applied to study the feasibility and cost of carbon capture and sequestration at both new and existing PC plants as well as new NGCC plants. The cost of CO{sub 2} avoidance using amine-based CO{sub 2} capture technology is found to be sensitive to assumptions about the reference plant design and operation, as well as assumptions about the CO{sub 2} capture system design. The case studies also reveal multi-pollutant interactions and potential tradeoffs in the capture of CO{sub 2}, SO{sub 2}, NO{sub 2} and NH{sub 3}. The potential for targeted R&D to reduce the cost of CO{sub 2} capture also is explored using the IECM-cs in conjunction with expert elicitations regarding potential improvements in key performance and cost parameters of amine-based systems. The results indicate that the performance of amine-based CO{sub 2} capture systems can be improved significantly, and the cost of CO{sub 2} capture reduced substantially over the next decade or two, via innovations such as new or improved sorbents with lower regeneration heat requirements, and improvements in power plant heat integration to reduce the (currently large) energy penalty of CO{sub 2} capture. Future work will explore in more detail a broader set of advanced technology options to lower the costs of CO{sub 2} capture and storage. Volume 2 of this report presents a detailed User's Manual for the IECM-cs computer model as a companion to the technical documentation in Volume 1.

  11. Knowledge Based Enterprise Engineering (KBEE): a modeling framework for enterprise knowledge

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Knowledge Based Enterprise Engineering (KBEE): a modeling framework for enterprise knowledge modeling, Knowledge modeling, Enterprise Engineering, Knowledge Engineering. 1 Introduction Knowledge in externalization and integration of knowledge and also for the engineering context, we will propose in this paper

  12. Evaluation of multi-loop multi-scale integrals and phenomenological two-loop applications

    E-Print Network [OSTI]

    Sophia Borowka

    2014-10-29T23:59:59.000Z

    In this thesis, major developments in the publicly available program SecDec are presented, extending the numerical evaluation of multi-loop multi-scale integrals from Euclidean to physical kinematics. The power of this new feature is shown in two phenomenological applications. In the first, numerical results for several massive two-loop four-point functions are shown. In its second application within this thesis, the leading momentum-dependent two-loop corrections to the neutral $\\mathcal{CP}$-even MSSM Higgs-boson masses are calculated. The results are included in the code FeynHiggs.

  13. Simulating Nationwide Pandemics: Applying the Multi-scale Epidemiologic Simulation and Analysis System to Human Infectious Diseases

    SciTech Connect (OSTI)

    Dombroski, M; Melius, C; Edmunds, T; Banks, L E; Bates, T; Wheeler, R

    2008-09-24T23:59:59.000Z

    This study uses the Multi-scale Epidemiologic Simulation and Analysis (MESA) system developed for foreign animal diseases to assess consequences of nationwide human infectious disease outbreaks. A literature review identified the state of the art in both small-scale regional models and large-scale nationwide models and characterized key aspects of a nationwide epidemiological model. The MESA system offers computational advantages over existing epidemiological models and enables a broader array of stochastic analyses of model runs to be conducted because of those computational advantages. However, it has only been demonstrated on foreign animal diseases. This paper applied the MESA modeling methodology to human epidemiology. The methodology divided 2000 US Census data at the census tract level into school-bound children, work-bound workers, elderly, and stay at home individuals. The model simulated mixing among these groups by incorporating schools, workplaces, households, and long-distance travel via airports. A baseline scenario with fixed input parameters was run for a nationwide influenza outbreak using relatively simple social distancing countermeasures. Analysis from the baseline scenario showed one of three possible results: (1) the outbreak burned itself out before it had a chance to spread regionally, (2) the outbreak spread regionally and lasted a relatively long time, although constrained geography enabled it to eventually be contained without affecting a disproportionately large number of people, or (3) the outbreak spread through air travel and lasted a long time with unconstrained geography, becoming a nationwide pandemic. These results are consistent with empirical influenza outbreak data. The results showed that simply scaling up a regional small-scale model is unlikely to account for all the complex variables and their interactions involved in a nationwide outbreak. There are several limitations of the methodology that should be explored in future work including validating the model against reliable historical disease data, improving contact rates, spread methods, and disease parameters through discussions with epidemiological experts, and incorporating realistic behavioral assumptions.

  14. A Data Mining Framework for Building Intrusion Detection Models # Salvatore J. Stolfo

    E-Print Network [OSTI]

    Lee, Wenke

    A Data Mining Framework for Building Intrusion Detection Models # Wenke Lee Salvatore J. Stolfo Kui. In this paper, we describe a data mining framework for adaptively building Intrusion Detection (ID) models each network connection or host ses­ sion, and apply data mining programs to learn rules

  15. New Modularization Framework Transforms FAST Wind Turbine Modeling...

    Broader source: Energy.gov (indexed) [DOE]

    framework. In November 2013, NREL presented a full-day workshop on FAST in Frankfurt, Germany, hosted by the University of Stuttgart. The workshop was attended by 50 participants,...

  16. 17.1%-Efficient Multi-Scale-Textured Black Silicon Solar Cells without Dielectric Antireflection Coating: Preprint

    SciTech Connect (OSTI)

    Toor, F.; Page, M. R.; Branz, H. M.; Yuan, H. C.

    2011-07-01T23:59:59.000Z

    In this work we present 17.1%-efficient p-type single crystal Si solar cells with a multi-scale-textured surface and no dielectric antireflection coating. Multi-scale texturing is achieved by a gold-nanoparticle-assisted nanoporous etch after conventional micron scale KOH-based pyramid texturing (pyramid black etching). By incorporating geometric enhancement of antireflection, this multi-scale texturing reduces the nanoporosity depth required to make silicon 'black' compared to nanoporous planar surfaces. As a result, it improves short-wavelength spectral response (blue response), previously one of the major limiting factors in 'black-Si' solar cells. With multi-scale texturing, the spectrum-weighted average reflectance from 350- to 1000-nm wavelength is below 2% with a 100-nm deep nanoporous layer. In comparison, roughly 250-nm deep nanopores are needed to achieve similar reflectance on planar surface. Here, we characterize surface morphology, reflectivity and solar cell performance of the multi-scale textured solar cells.

  17. Multiscale Simulation Framework for Coupled Fluid Flow and Mechanical Deformation

    SciTech Connect (OSTI)

    Tchelepi, Hamdi

    2014-11-14T23:59:59.000Z

    A multiscale linear-solver framework for the pressure equation associated with flow in highly heterogeneous porous formations was developed. The multiscale based approach is cast in a general algebraic form, which facilitates integration of the new scalable linear solver in existing flow simulators. The Algebraic Multiscale Solver (AMS) is employed as a preconditioner within a multi-stage strategy. The formulations investigated include the standard MultiScale Finite-Element (MSFE) andMultiScale Finite-Volume (MSFV) methods. The local-stage solvers include incomplete factorization and the so-called Correction Functions (CF) associated with the MSFV approach. Extensive testing of AMS, as an iterative linear solver, indicate excellent convergence rates and computational scalability. AMS compares favorably with advanced Algebraic MultiGrid (AMG) solvers for highly detailed three-dimensional heterogeneous models. Moreover, AMS is expected to be especially beneficial in solving time-dependent problems of coupled multiphase flow and transport in large-scale subsurface formations.

  18. Adapting to a Changing Environment: Non-obvious Thresholds in Multi-Scale Systems

    E-Print Network [OSTI]

    Clare Perryman; Sebastian Wieczorek

    2014-07-09T23:59:59.000Z

    Many natural and technological systems fail to adapt to changing external conditions and move to a different state if the conditions vary too fast. Such "non-adiabatic" processes are ubiquitous, but little understood. We identify these processes with a new nonlinear phenomenon---an intricate threshold where a forced system fails to adiabatically follow a changing stable state. In systems with multiple time-scales such thresholds are generic, but non-obvious, meaning they cannot be captured by traditional stability theory. Rather, the phenomenon can be analysed using concepts from modern singular perturbation theory: folded singularities and canard trajectories, including composite canards. Thus, non-obvious thresholds should explain the failure to adapt to a changing environment in a wide range of multi-scale systems including: tipping points in the climate system, regime shifts in ecosystems, excitability in nerve cells, adaptation failure in regulatory genes, and adiabatic switching in technology.

  19. Multi-scale approach to invasion percolation of rock fracture networks

    E-Print Network [OSTI]

    Ali N. Ebrahimi; Falk K. Wittel; Nuno A. M. Araújo; Hans J. Herrmann

    2014-08-12T23:59:59.000Z

    A multi-scale scheme for the invasion percolation of rock fracture networks with heterogeneous fracture aperture fields is proposed. Inside fractures, fluid transport is calculated on the finest scale and found to be localized in channels as a consequence of the aperture field. The channel network is characterized and reduced to a vectorized artificial channel network (ACN). Different realizations of ACNs are used to systematically calculate efficient apertures for fluid transport inside differently sized fractures as well as fracture intersection and entry properties. Typical situations in fracture networks are parameterized by fracture inclination, flow path length along the fracture and intersection lengths in the entrance and outlet zones of fractures. Using these scaling relations obtained from the finer scales, we simulate the invasion process of immiscible fluids into saturated discrete fracture networks, which were studied in previous works.

  20. The Brera Multi-scale Wavelet (BMW) ROSAT HRI source catalog; 1, the algorithm

    E-Print Network [OSTI]

    Lazzati, D; Rosati, P; Panzera, M R; Tagliaferri, G; Lazzati, Davide; Campana, Sergio; Rosati, Piero; Panzera, Maria Rosa; Tagliaferri, Gianpiero

    1999-01-01T23:59:59.000Z

    We present a new detection algorithm based on the wavelet transform for the analysis of high energy astronomical images. The wavelet transform, due to its multi-scale structure, is suited for the optimal detection of point-like as well as extended sources, regardless of any loss of resolution with the off-axis angle. Sources are detected as significant enhancements in the wavelet space, after the subtraction of the non-flat components of the background. Detection thresholds are computed through Monte Carlo simulations in order to establish the expected number of spurious sources per field. The source characterization is performed through a multi-source fitting in the wavelet space. The procedure is designed to correctly deal with very crowded fields, allowing for the simultaneous characterization of nearby sources. To obtain a fast and reliable estimate of the source parameters and related errors, we apply a novel decimation technique which, taking into account the correlation properties of the wavelet transf...

  1. Using a scalable modeling and simulation framework to evaluate the benefits of intelligent transportation systems.

    SciTech Connect (OSTI)

    Ewing, T.; Tentner, A.

    2000-03-21T23:59:59.000Z

    A scalable, distributed modeling and simulation framework has been developed at Argonne National Laboratory to study Intelligent Transportation Systems. The framework can run on a single-processor workstation, or run distributed on a multiprocessor computer or network of workstations. The framework is modular and supports plug-in models, hardware, and live data sources. The initial set of models currently includes road network and traffic flow, probe and smart vehicles, traffic management centers, communications between vehicles and centers, in-vehicle navigation systems, roadway traffic advisories. The modeling and simulation capability has been used to examine proposed ITS concepts. Results are presented from modeling scenarios from the Advanced Driver and Vehicle Advisory Navigation Concept (ADVANCE) experimental program to demonstrate how the framework can be used to evaluate the benefits of ITS and to plan future ITS operational tests and deployment initiatives.

  2. A Business Model Framework for Dynamic Spectrum Access in Cognitive Networks

    E-Print Network [OSTI]

    Ha, Dong S.

    A Business Model Framework for Dynamic Spectrum Access in Cognitive Networks Nikhil Kelkar, Dr implement these technologies and still profit from them? III. FUNDAMENTAL MODEL The business model which we a multi-parameter approach by defining four levels on which everyday business models operate. Value

  3. Integration of the DAYCENT Biogeochemical Model within a Multi-Model Framework

    SciTech Connect (OSTI)

    David Muth

    2012-07-01T23:59:59.000Z

    Agricultural residues are the largest near term source of cellulosic 13 biomass for bioenergy production, but removing agricultural residues sustainably 14 requires considering the critical roles that residues play in the agronomic system. 15 Determining sustainable removal rates for agricultural residues has received 16 significant attention and integrated modeling strategies have been built to evaluate 17 sustainable removal rates considering soil erosion and organic matter constraints. 18 However the current integrated model does not quantitatively assess soil carbon 19 and long term crop yields impacts of residue removal. Furthermore the current 20 integrated model does not evaluate the greenhouse gas impacts of residue 21 removal, specifically N2O and CO2 gas fluxes from the soil surface. The DAYCENT 22 model simulates several important processes for determining agroecosystem 23 performance. These processes include daily Nitrogen-gas flux, daily carbon dioxide 24 flux from soil respiration, soil organic carbon and nitrogen, net primary productivity, 25 and daily water and nitrate leaching. Each of these processes is an indicator of 26 sustainability when evaluating emerging cellulosic biomass production systems for 27 bioenergy. A potentially vulnerable cellulosic biomass resource is agricultural 28 residues. This paper presents the integration of the DAYCENT model with the 29 existing integration framework modeling tool to investigate additional environment 30 impacts of agricultural residue removal. The integrated model is extended to 31 facilitate two-way coupling between DAYCENT and the existing framework. The 32 extended integrated model is applied to investigate additional environmental 33 impacts from a recent sustainable agricultural residue removal dataset. The 34 integrated model with DAYCENT finds some differences in sustainable removal 35 rates compared to previous results for a case study county in Iowa. The extended 36 integrated model with DAYCENT also predicts that long term yields will decrease.

  4. Kinematic and dynamic model-based control of wheeled mobile manipulators: a unified framework for reactive approaches

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Kinematic and dynamic model-based control of wheeled mobile manipulators: a unified framework aims at providing a unified modeling framework for the reactive control of wheeled mobile manipulators systems is given. This modeling framework is particularly well suited for reactive control approaches

  5. Steady-State Gyrokinetics Transport Code (SSGKT), A Scientific Application Partnership with the Framework Application for Core-Edge Transport Simulations, Final Report

    SciTech Connect (OSTI)

    Fahey, Mark R. [Oak Ridge National Laboratory] [Oak Ridge National Laboratory; Candy, Jeff [General Atomics] [General Atomics

    2013-11-07T23:59:59.000Z

    This project initiated the development of TGYRO ? a steady-state Gyrokinetic transport code (SSGKT) that integrates micro-scale GYRO turbulence simulations into a framework for practical multi-scale simulation of conventional tokamaks as well as future reactors. Using a lightweight master transport code, multiple independent (each massively parallel) gyrokinetic simulations are coordinated. The capability to evolve profiles using the TGLF model was also added to TGYRO and represents a more typical use-case for TGYRO. The goal of the project was to develop a steady-state Gyrokinetic transport code (SSGKT) that integrates micro-scale gyrokinetic turbulence simulations into a framework for practical multi-scale simulation of a burning plasma core ? the International Thermonuclear Experimental Reactor (ITER) in particular. This multi-scale simulation capability will be used to predict the performance (the fusion energy gain, Q) given the H-mode pedestal temperature and density. At present, projections of this type rely on transport models like GLF23, which are based on rather approximate fits to the results of linear and nonlinear simulations. Our goal is to make these performance projections with precise nonlinear gyrokinetic simulations. The method of approach is to use a lightweight master transport code to coordinate multiple independent (each massively parallel) gyrokinetic simulations using the GYRO code. This project targets the practical multi-scale simulation of a reactor core plasma in order to predict the core temperature and density profiles given the H-mode pedestal temperature and density. A master transport code will provide feedback to O(16) independent gyrokinetic simulations (each massively parallel). A successful feedback scheme offers a novel approach to predictive modeling of an important national and international problem. Success in this area of fusion simulations will allow US scientists to direct the research path of ITER over the next two decades. The design of an efficient feedback algorithm is a serious numerical challenge. Although the power source and transport balance coding in the master are standard, it is nontrivial to design a feedback loop that can cope with outputs that are both intermittent and extremely expensive. A prototypical feedback scheme has already been successfully demonstrated for a single global GYRO simulation, although the robustness and efficiency are likely far from optimal. Once the transport feedback scheme is perfected, it could, in principle, be embedded into any of the more elaborate transport codes (ONETWO, TRANSP, and CORSICA), or adopted by other FSP-related multi-scale projects.

  6. Multi Scale Color Coding of Derived Curvature and Torsion Fields on a Multi-Block Curvilinear Grid

    E-Print Network [OSTI]

    Iyengar, S. S.

    Multi Scale Color Coding of Derived Curvature and Torsion Fields on a Multi-Block Curvilinear Grid. Abstract: We present a method to compute and visualize the curvature and torsion scalar fields derived from a vector field defined on a multi-block curvilinear grid. In order to compute the curvature and torsion

  7. CONTAM 01 Multi Scale Soil Sensor Network in Support of Groundwater Quality CONTAM 01.1 Overview

    E-Print Network [OSTI]

    California at Los Angeles, University of

    Large soil columns were fabricated at the Civil & Environmental Engineering Lab at Loyola MarymountCONTAM 01 Multi Scale Soil Sensor Network in Support of Groundwater Quality Protection CONTAM 01.1 Overview This project has previously focused on moisture and chemical propagation in the soils undergoing

  8. A Model Driven Reverse Engineering Framework for Extracting Business Rules out of

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A Model Driven Reverse Engineering Framework for Extracting Business Rules out of a Java business rules out of Java source code. The use of modeling techniques facilitate the representation and justify the origin of the extracted business rules. In this sense, this paper describes a model

  9. A Role-Based Framework for Business Process Modeling Artur Caetano1,2

    E-Print Network [OSTI]

    A Role-Based Framework for Business Process Modeling Artur Caetano1,2 , Marielba Zacarias2 to business process modeling do not separate the collaborative aspects of a business object from its internal increasing the understandability and reusability of business process models. This approach makes use

  10. Industrial Sector Energy Efficiency Modeling (ISEEM) Framework Documentation

    E-Print Network [OSTI]

    Karali, Nihan

    2014-01-01T23:59:59.000Z

    Energy Supply Modeling Package EFOM-12C Mark 1 MathematicalEnergy Supply Modeling Package EFOM-12C Mark 1 User’s Guide,the Economy EU European Union EFOM Energy Flow Optimization

  11. Model Components of the Certification Framework for Geologic Carbon Sequestration Risk Assessment

    SciTech Connect (OSTI)

    Oldenburg, Curtis M.; Bryant, Steven L.; Nicot, Jean-Philippe; Kumar, Navanit; Zhang, Yingqi; Jordan, Preston; Pan, Lehua; Granvold, Patrick; Chow, Fotini K.

    2009-06-01T23:59:59.000Z

    We have developed a framework for assessing the leakage risk of geologic carbon sequestration sites. This framework, known as the Certification Framework (CF), emphasizes wells and faults as the primary potential leakage conduits. Vulnerable resources are grouped into compartments, and impacts due to leakage are quantified by the leakage flux or concentrations that could potentially occur in compartments under various scenarios. The CF utilizes several model components to simulate leakage scenarios. One model component is a catalog of results of reservoir simulations that can be queried to estimate plume travel distances and times, rather than requiring CF users to run new reservoir simulations for each case. Other model components developed for the CF and described here include fault characterization using fault-population statistics; fault connection probability using fuzzy rules; well-flow modeling with a drift-flux model implemented in TOUGH2; and atmospheric dense-gas dispersion using a mesoscale weather prediction code.

  12. New Framework Transforms FAST Wind Turbine Modeling Tool (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2014-04-01T23:59:59.000Z

    A recent overhaul of the tool makes it a powerful, robust, and flexible modeling software to aid the development of innovative wind and water power technologies.

  13. Transport Phenomena in Polymer Electrolyte Membranes I. Modeling Framework

    E-Print Network [OSTI]

    Struchtrup, Henning

    and optimization of fuel cells in a design and development environment. Kreuer et al.19 recently presented of ongoing efforts to develop more comprehensive compu- tational fuel cell model14-18 that allow analysis of the fundamental transport mechanisms. In the context of multidimensional fuel cell modeling, practical

  14. Multi-scale Mechanical Characterization of Highly Swollen Photo-activated Collagen Hydrogels

    E-Print Network [OSTI]

    Giuseppe Tronci; Colin A. Grant; Neil H. Thomson; Stephen J. Russell; David J. Wood

    2014-10-23T23:59:59.000Z

    Biological hydrogels have been increasingly sought after as e.g. wound dressings or scaffolds for regenerative medicine, due to their inherent biofunctionality in biological environments. Especially in moist wound healing, the ideal material should absorb large amounts of wound exudate whilst remaining mechanically competent in-situ. Despite their large hydration, however, current biological hydrogels still leave much to be desired in terms of mechanical properties in physiological conditions. To address this challenge, a multi-scale approach is presented for the synthetic design of cyto-compatible collagen hydrogels with tunable mechanical properties (from nano- up to the macro-scale), uniquely high swelling ratios and retained (>70%) triple-helical features. Type I collagen was covalently functionalized with three different monomers, i.e. 4 vinylbenzyl chloride, glycidyl methacrylate and methacrylic anhydride, respectively. Backbone rigidity, hydrogen-bonding capability and degree of functionalization (F: 16±12 &ndash 91±7 mol.-%) of introduced moieties governed the structure-property relationships in resulting collagen networks, so that the swelling ratio (SR: 707±51 &ndash 1996±182 wt.-%), bulk compressive modulus (Ec: 30±7 &ndash 168±40 kPa) and Atomic Force Microscopy elastic modulus (EAFM: 16±2 &ndash 387±66 kPa) were readily adjusted. In light of their remarkably high swelling and mechanical properties, these tunable collagen hydrogels may be further exploited for the design of advanced dressings for chronic wound care.

  15. The Brera Multi-scale Wavelet ROSAT HRI source catalogue (BMW-HRI)

    E-Print Network [OSTI]

    Panzera, M R; Covino, S; Lazzati, D; Mignani, R P; Moretti, A; Tagliaferri, G

    2003-01-01T23:59:59.000Z

    We present the Brera Multi-scale Wavelet ROSAT HRI source catalogue (BMW-HRI) derived from all ROSAT HRI pointed observations with exposure time longer than 100 s available in the ROSAT public archives. The data were analyzed automatically using a wavelet detection algorithm suited to the detection and characterization of both point-like and extended sources. This algorithm is able to detect and disentangle sources in very crowded fields and/or in presence of extended or bright sources. Images have been also visually inspected after the analysis to ensure verification. The final catalogue, derived from 4,303 observations, consists of 29,089 sources detected with a detection probability of greater or equal 4.2 sigma. For each source, the primary catalogue entries provide name, position, count rate, flux and extension along with the relative errors. In addition, results of cross-correlations with existing catalogues at different wavelengths (FIRST, IRAS, 2MASS and GSC2) are also reported. All these information ...

  16. The Community Earth System Model: A Framework for Collaborative Research

    SciTech Connect (OSTI)

    Hurrell, Jim; Holland, Marika M.; Gent, Peter R.; Ghan, Steven J.; Kay, Jennifer; Kushner, P.; Lamarque, J.-F.; Large, William G.; Lawrence, David M.; Lindsay, Keith; Lipscomb, William; Long , Matthew; Mahowald, N.; Marsh, D.; Neale, Richard; Rasch, Philip J.; Vavrus, Steven J.; Vertenstein, Mariana; Bader, David C.; Collins, William D.; Hack, James; Kiehl, J. T.; Marshall, Shawn

    2013-09-30T23:59:59.000Z

    The Community Earth System Model (CESM) is a flexible and extensible community tool used to investigate a diverse set of earth system interactions across multiple time and space scales. This global coupled model is a natural evolution from its predecessor, the Community Climate System Model, following the incorporation of new earth system capabilities. These include the ability to simulate biogeochemical cycles, atmospheric chemistry, ice sheets, and a high-top atmosphere. These and other new model capabilities are enabling investigations into a wide range of pressing scientific questions, providing new predictive capabilities and increasing our collective knowledge about the behavior and interactions of the earth system. Simulations with numerous configurations of the CESM have been provided to the Coupled Model Intercomparison Project Phase 5 (CMIP5) and are being analyzed by the broader community of scientists. Additionally, the model source code and associated documentation are freely available to the scientific community to use for earth system studies, making it a true community tool. Here we describe this earth modeling system, its various possible configurations, and illustrate its capabilities with a few science highlights.

  17. A Distributed Multi-User Role-Based Model Integration Framework

    SciTech Connect (OSTI)

    Dorow, Kevin E.; Gorton, Ian; Thurman, David A.

    2004-06-14T23:59:59.000Z

    Integrated computational modeling can be very useful in making quick, yet informed decisions related to environmental issues including Brownfield assessments. Unfortunately, the process of creating meaningful information using this methodology is fraught with difficulties, particularly when multiple computational models are required. Common problems include the inability to seamlessly transfer information between models, the difficulty of incorporating new models and integrating heterogeneous data sources, executing large numbers of model runs in a reasonable time frame, and adequately capturing pedigree information that describes the specific computational steps and data required to reproduce results. While current model integration frameworks have successfully addressed some of these problems, none have addressed all of them. Building on existing work at Pacific Northwest National Laboratory (PNNL), we have created an extensible software architecture for the next generation of model integration frameworks that addresses these issues. This paper describes this architecture that is being developed to support integrated water resource modeling in a metropolitan area.

  18. Design theoretic analysis of three system modeling frameworks.

    SciTech Connect (OSTI)

    McDonald, Michael James

    2007-05-01T23:59:59.000Z

    This paper analyzes three simulation architectures from the context of modeling scalability to address System of System (SoS) and Complex System problems. The paper first provides an overview of the SoS problem domain and reviews past work in analyzing model and general system complexity issues. It then identifies and explores the issues of vertical and horizontal integration as well as coupling and hierarchical decomposition as the system characteristics and metrics against which the tools are evaluated. In addition, it applies Nam Suh's Axiomatic Design theory as a construct for understanding coupling and its relationship to system feasibility. Next it describes the application of MATLAB, Swarm, and Umbra (three modeling and simulation approaches) to modeling swarms of Unmanned Flying Vehicle (UAV) agents in relation to the chosen characteristics and metrics. Finally, it draws general conclusions for analyzing model architectures that go beyond those analyzed. In particular, it identifies decomposition along phenomena of interaction and modular system composition as enabling features for modeling large heterogeneous complex systems.

  19. A framework for modeling the consequences of the propagation of automation degradation: application to

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A framework for modeling the consequences of the propagation of automation degradation: application of automation degradation in the context of a socio-technical network. This modelling approach involves two integrating these two views for describing the evolution of system performances under automation degradation

  20. Development of Frameworks for Robust Regional Climate Modeling PRINCIPAL INVESTIGATOR: Moetasim Ashfaq

    E-Print Network [OSTI]

    goals of climate modeling. Water supports the ecosystems as well as a wide range of human activities to improve region- al predictions of the hydrologic cycle to address climate change impacts, adaptationDevelopment of Frameworks for Robust Regional Climate Modeling PRINCIPAL INVESTIGATOR: Moetasim

  1. c Copyright by Daniel Duane Deavours, 2001 FORMAL SPECIFICATION OF THE MOBIUS MODELING FRAMEWORK

    E-Print Network [OSTI]

    Illinois at Urbana-Champaign, University of

    c Copyright by Daniel Duane Deavours, 2001 #12;FORMAL SPECIFICATION OF THE M¨OBIUS MODELING of Electrical and Computer Engineering University of Illinois at Urbana-Champaign, 2001 William H. Sanders to create a general framework that supports a large variety of modeling formalisms. iii #12;In this thesis

  2. A Model and Numerical Framework for the Simulation of Solid-Solid Phase Transformations

    E-Print Network [OSTI]

    Govindjee, Sanjay

    A Model and Numerical Framework for the Simulation of Solid-Solid Phase Transformations Garrett J computational realization for the simulation of solid-solid phase transformations of the type observed in shape physical experiments and is indicative of the power of the proposed modelling methodology. In particular

  3. A Model Reduction Framework for Efficient Simulation of Li-Ion Batteries

    E-Print Network [OSTI]

    of degradation processes in lithium-ion batteries, the modelling of cell dynamics at the mircometer scale lithium-ion batteries is the deposition of metallic lithium at the negative battery electrode (LiA Model Reduction Framework for Efficient Simulation of Li-Ion Batteries Mario Ohlberger Stephan

  4. A Flexible Atmospheric Modeling Framework for the CESM

    SciTech Connect (OSTI)

    Randall, David [Colorado State University; Heikes, Ross [Colorado State University; Konor, Celal [Colorado State University

    2014-11-12T23:59:59.000Z

    We have created two global dynamical cores based on the unified system of equations and Z-grid staggering on an icosahedral grid, which are collectively called UZIM (Unified Z-grid Icosahedral Model). The z-coordinate version (UZIM-height) can be run in hydrostatic and nonhydrostatic modes. The sigma-coordinate version (UZIM-sigma) runs in only hydrostatic mode. The super-parameterization has been included as a physics option in both models. The UZIM versions with the super-parameterization are called SUZI. With SUZI-height, we have completed aquaplanet runs. With SUZI-sigma, we are making aquaplanet runs and realistic climate simulations. SUZI-sigma includes realistic topography and a SiB3 model to parameterize the land-surface processes.

  5. A Computational Framework for Modelling Aneurysm Inception due

    E-Print Network [OSTI]

    Growth Project Thesis November 23, 2010 Matthias Kirchhart Thorolf Schulte Florian Lubisch Michael Woopen is used. The artery is modelled to consist of elastin and collagen fibres, arranged in double helical.1.2 Displacement, Velocity and Substantial Derivative . . . . . . . . . . . . 19 2.1.3 Deformation Gradient

  6. A modeling framework for investment planning in interdependent infrastructures in multi-hazard environments.

    SciTech Connect (OSTI)

    Brown, Nathanael J. K.; Gearhart, Jared Lee; Jones, Dean A.; Nozick, Linda Karen; Prince, Michael

    2013-09-01T23:59:59.000Z

    Currently, much of protection planning is conducted separately for each infrastructure and hazard. Limited funding requires a balance of expenditures between terrorism and natural hazards based on potential impacts. This report documents the results of a Laboratory Directed Research&Development (LDRD) project that created a modeling framework for investment planning in interdependent infrastructures focused on multiple hazards, including terrorism. To develop this framework, three modeling elements were integrated: natural hazards, terrorism, and interdependent infrastructures. For natural hazards, a methodology was created for specifying events consistent with regional hazards. For terrorism, we modeled the terrorist's actions based on assumptions regarding their knowledge, goals, and target identification strategy. For infrastructures, we focused on predicting post-event performance due to specific terrorist attacks and natural hazard events, tempered by appropriate infrastructure investments. We demonstrate the utility of this framework with various examples, including protection of electric power, roadway, and hospital networks.

  7. The Brera Multi-scale Wavelet ROSAT HRI source catalogue (BMW-HRI)

    E-Print Network [OSTI]

    M. R. Panzera; S. Campana; S. Covino; D. Lazzati; R. P. Mignani; A. Moretti; G. Tagliaferri

    2002-11-11T23:59:59.000Z

    We present the Brera Multi-scale Wavelet ROSAT HRI source catalogue (BMW-HRI) derived from all ROSAT HRI pointed observations with exposure time longer than 100 s available in the ROSAT public archives. The data were analyzed automatically using a wavelet detection algorithm suited to the detection and characterization of both point-like and extended sources. This algorithm is able to detect and disentangle sources in very crowded fields and/or in presence of extended or bright sources. Images have been also visually inspected after the analysis to ensure verification. The final catalogue, derived from 4,303 observations, consists of 29,089 sources detected with a detection probability of greater or equal 4.2 sigma. For each source, the primary catalogue entries provide name, position, count rate, flux and extension along with the relative errors. In addition, results of cross-correlations with existing catalogues at different wavelengths (FIRST, IRAS, 2MASS and GSC2) are also reported. All these information are available on the web via the DIANA Interface. As an external check, we compared our catalogue with the previously available ROSHRICAT catalogue (both in its short and long versions) and we were able to recover, for the short version, \\~90% of the entries. We computed the sky coverage of the entire HRI data set by means of simulations. The complete BMW-HRI catalogue provides a sky coverage of 732 square degrees down to a limiting flux of ~1E-12 erg/s/cm2 and of 10 square degrees down to ~1E-14 erg/s/cm2. We were able to compute the cosmological log(N)-log(S) distribution down to a flux of about 1.2x1E-14 erg/s/cm2.

  8. The Brera Multi-scale Wavelet (BMW) ROSAT HRI source catalog. I: the algorithm

    E-Print Network [OSTI]

    Davide Lazzati; Sergio Campana; Piero Rosati; Maria Rosa Panzera; Gianpiero Tagliaferri

    1999-04-27T23:59:59.000Z

    We present a new detection algorithm based on the wavelet transform for the analysis of high energy astronomical images. The wavelet transform, due to its multi-scale structure, is suited for the optimal detection of point-like as well as extended sources, regardless of any loss of resolution with the off-axis angle. Sources are detected as significant enhancements in the wavelet space, after the subtraction of the non-flat components of the background. Detection thresholds are computed through Monte Carlo simulations in order to establish the expected number of spurious sources per field. The source characterization is performed through a multi-source fitting in the wavelet space. The procedure is designed to correctly deal with very crowded fields, allowing for the simultaneous characterization of nearby sources. To obtain a fast and reliable estimate of the source parameters and related errors, we apply a novel decimation technique which, taking into account the correlation properties of the wavelet transform, extracts a subset of almost independent coefficients. We test the performance of this algorithm on synthetic fields, analyzing with particular care the characterization of sources in poor background situations, where the assumption of Gaussian statistics does not hold. For these cases, where standard wavelet algorithms generally provide underestimated errors, we infer errors through a procedure which relies on robust basic statistics. Our algorithm is well suited for the analysis of images taken with the new generation of X-ray instruments equipped with CCD technology which will produce images with very low background and/or high source density.

  9. Multi-scale Modeling of 1-D Permeability Fields Marco A. R. Ferreira1,2

    E-Print Network [OSTI]

    West, Mike

    of contaminant plumes in aquifers and the production of petroleum from oil fields. In the particular case of production of petroleum from mature fields, part of the available information for the estimation of permeability fields is the production data. To incorporate such information in formal statistical analysis

  10. Multi-scale chemistry modeling of the thermochemical conversion of biomass in a fluidized bed gasifier

    E-Print Network [OSTI]

    Stark, Addison Killean

    2015-01-01T23:59:59.000Z

    The thermochemical conversion of biomass to fuels via syn-gas offers a promising approach to producing fungible substitutes for petroleum derived fuels and chemicals. In order for these fuels to be adopted, they must be ...

  11. Simulated diurnal rainfall physics in a multi-scale global climate model with embedded explicit convection

    E-Print Network [OSTI]

    Pritchard, Michael Stephen

    2011-01-01T23:59:59.000Z

    2.8: Relationship among mesoscale convective complex (MCC)C. J. Anderson, 2008: Idealized mesoscale convective system205. Houze, R. , 2004: Mesoscale convective systems. Reviews

  12. A Unified Multi-Scale Model for Pore-Scale Flow Simulations in...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Subsurface Flow and Transport Science Theme: Terrestrial & Subsurface Ecosystems Instruments: X-ray Computed Tomography Volume: 78 Issue: 1 Pages: 108-118 Publication year: 2014...

  13. Watt-Sun: A Multi-Scale, Multi-Model, Machine-Learning Solar Forecasting

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group currentBradley Nickell DirectorThe Water Power Program,1Technology |

  14. Sustainable Manufacturing via Multi-Scale Physics-Based Process Modeling and Manufacturing-Informed Design

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014,Zaleski -BlueprintThis documentEnergy LocalDepartment

  15. Assessment of Multi-Scale T/H Codes and Models for DNB CP

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperational Management »EnergyHubs |B - Assessment of

  16. ANL/ALCF/ESP-13/8 Using Multi-scale Dynamic Rupture Models to

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20ALSNewstt^ \ # AN EXPERIMENT ON,3458

  17. Sustainable Manufacturing via Multi-Scale, Physics-Based Process Modeling and Manufacturing- Informed Design

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideoStrategic SafetyGeothermal/Ground-Source Heat Pumps |Department

  18. Multi-Scale Modeling Tools to Enable Manufacturing-Informed Design |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOil &315_ArnibanPriorityofEnergy Multi-Material

  19. Artificial Neural Network Model for fMRI timeseries and a Framework for Comparison of Convolution Models

    E-Print Network [OSTI]

    Nielsen, Finn Årup

    Artificial Neural Network Model for fMRI timeseries and a Framework for Comparison of Convolution of the hemodynamic response was proposed in [5]. Here we propose an artificial neural network (ANN) model. Method The specific neural network we will use is a two­layer feed­forward type. Parameters are optimized

  20. Development of a multi-scale projection method with immersed boundaries for chemically reactive flows and its application to examine flame stabilization and blow-off mechanisms

    E-Print Network [OSTI]

    Kedia, Kushal Sharad

    2013-01-01T23:59:59.000Z

    High-fidelity multi-scale simulation tools are critically important for examining energy conversion processes in which the coupling of complex chemical kinetics, molecular transport, continuum mixing and acoustics play ...

  1. Modeling Individual and Group Actions in Meetings: a Two-Layer HMM Framework

    E-Print Network [OSTI]

    Wrigley, Stuart

    of eight group actions, using a pub- lic five-hour meeting corpus. Experiments and comparison with a singleModeling Individual and Group Actions in Meetings: a Two-Layer HMM Framework Dong Zhang, Daniel. The investigated patterns are in- herently group-based (defined by the individual activities of meeting

  2. Mauve: a Component-based Modeling Framework for Real-time Analysis of Robotic Applications

    E-Print Network [OSTI]

    Mauve: a Component-based Modeling Framework for Real-time Analysis of Robotic Applications Charles paradigm for robotic software devel- opment [2], applied in many applications [3], [4], [5], [6]. Resulting validation of the robotic application, by directly analysing the architecture specification, and limiting

  3. Function Test Framework for Testing IO-Blocks in a Model-Based Rapid Prototyping Development

    E-Print Network [OSTI]

    Function Test Framework for Testing IO-Blocks in a Model-Based Rapid Prototyping Development -- Testing and verification are important methods for gaining confidence in the reliability of a software changing development cycles or that is tar- geted at many platforms. In this paper we present a test

  4. A Model-Based Framework for Developing and Deploying Data Aggregation Services

    E-Print Network [OSTI]

    Prasanna, Viktor K.

    A Model-Based Framework for Developing and Deploying Data Aggregation Services Ramakrishna Soma1 , Amol Bakshi2 , V.K.Prasanna2 , Will Da Sie3 1 Dept of Computer Science, USC, Los Angeles, CA 2 Dept of Electrical Engineering, USC, Los Angeles, CA {rsoma, amol, prasanna}@usc.edu 3 Chevron Corporation, San Ramon

  5. A Formal Framework for Modeling and Analysis of System-Level Dynamic Power Management

    E-Print Network [OSTI]

    Ha, Dong S.

    A Formal Framework for Modeling and Analysis of System-Level Dynamic Power Management Shrirang, tlmartin, ha}@vt.edu Abstract Recent advances in Dynamic Power Management (DPM) tech- niques have resulted in designs that support a rich set of power management options, both at the hardware and software levels

  6. On a Modeling Framework for the Analysis of Interdependencies in Electric Power Systems

    E-Print Network [OSTI]

    Firenze, Università degli Studi di

    On a Modeling Framework for the Analysis of Interdependencies in Electric Power Systems Silvano, including the Electric Power System (EPS), through which vital services are provided. In existing EPS two co- operating infrastructures are involved: the Electric Infras- tructure (EI) for the electricity generation

  7. Modelling framework of an instance of the electric power system: functional description and

    E-Print Network [OSTI]

    Firenze, Università degli Studi di

    Modelling framework of an instance of the electric power system: functional description that provide essential services in our daily life. This paper addresses the analysis of the Electric Power Sys the evaluation of CI focusing on the Electric Power Systems (EPS), focusing in particular

  8. A network-based modeling framework for stakeholder analysis of China's energy conservation campaign

    E-Print Network [OSTI]

    de Weck, Olivier L.

    A network-based modeling framework for stakeholder analysis of China's energy conservation campaign Available online 13 July 2011 Keywords: Energy conservation Policy-making Stakeholder analysis Network, the stakeholder analysis of China's energy conservation campaign still has been under-developed. This paper

  9. A Data Mining Framework for Building Intrusion Detection Models Salvatore J. Stolfo

    E-Print Network [OSTI]

    Yang, Junfeng

    A Data Mining Framework for Building Intrusion Detection Models Wenke Lee Salvatore J. Stolfo Kui W of expert knowledge, changes to IDSs are expensive and slow. In this paper, we describe a data mining, and apply data mining programs to learn rules that accurately capture the behavior of intrusions and normal

  10. Natural Tracers and Multi-Scale Assessment of Caprock Sealing Behavior: A Case Study of the Kirtland Formation, San Juan Basin

    SciTech Connect (OSTI)

    Jason Heath; Brian McPherson; Thomas Dewers

    2011-03-15T23:59:59.000Z

    The assessment of caprocks for geologic CO{sub 2} storage is a multi-scale endeavor. Investigation of a regional caprock - the Kirtland Formation, San Juan Basin, USA - at the pore-network scale indicates high capillary sealing capacity and low permeabilities. Core and wellscale data, however, indicate a potential seal bypass system as evidenced by multiple mineralized fractures and methane gas saturations within the caprock. Our interpretation of {sup 4}He concentrations, measured at the top and bottom of the caprock, suggests low fluid fluxes through the caprock: (1) Of the total {sup 4}He produced in situ (i.e., at the locations of sampling) by uranium and thorium decay since deposition of the Kirtland Formation, a large portion still resides in the pore fluids. (2) Simple advection-only and advection-diffusion models, using the measured {sup 4}He concentrations, indicate low permeability ({approx}10-20 m{sup 2} or lower) for the thickness of the Kirtland Formation. These findings, however, do not guarantee the lack of a large-scale bypass system. The measured data, located near the boundary conditions of the models (i.e., the overlying and underlying aquifers), limit our testing of conceptual models and the sensitivity of model parameterization. Thus, we suggest approaches for future studies to better assess the presence or lack of a seal bypass system at this particular site and for other sites in general.

  11. Uncertainty Analysis Framework - Hanford Site-Wide Groundwater Flow and Transport Model

    SciTech Connect (OSTI)

    Cole, Charles R.; Bergeron, Marcel P.; Murray, Christopher J.; Thorne, Paul D.; Wurstner, Signe K.; Rogers, Phillip M.

    2001-11-09T23:59:59.000Z

    Pacific Northwest National Laboratory (PNNL) embarked on a new initiative to strengthen the technical defensibility of the predictions being made with a site-wide groundwater flow and transport model at the U.S. Department of Energy Hanford Site in southeastern Washington State. In FY 2000, the focus of the initiative was on the characterization of major uncertainties in the current conceptual model that would affect model predictions. The long-term goals of the initiative are the development and implementation of an uncertainty estimation methodology in future assessments and analyses using the site-wide model. This report focuses on the development and implementation of an uncertainty analysis framework.

  12. Implementations of a Flexible Framework for Managing Geologic Sequestration Modeling Projects

    SciTech Connect (OSTI)

    White, Signe K.; Gosink, Luke J.; Sivaramakrishnan, Chandrika; Black, Gary D.; Purohit, Sumit; Bacon, Diana H.; Hou, Zhangshuan; Lin, Guang; Gorton, Ian; Bonneville, Alain

    2013-08-06T23:59:59.000Z

    Numerical simulation is a standard practice used to support designing, operating, and monitoring CO2 injection projects. Although a variety of computational tools have been developed that support the numerical simulation process, many are single-purpose or platform specific and have a prescribed workflow that may or may not be suitable for a particular project. We are developing an open-source, flexible framework named Velo that provides a knowledge management infrastructure and tools to support modeling and simulation for various types of projects in a number of scientific domains. The Geologic Sequestration Software Suite (GS3) is a version of this framework with features and tools specifically tailored for geologic sequestration studies. Because of its general nature, GS3 is being employed in a variety of ways on projects with differing goals. GS3 is being used to support the Sim-SEQ international model comparison study, by providing a collaborative framework for the modeling teams and providing tools for model comparison. Another customized deployment of GS3 has been made to support the permit application process. In this case, GS3 is being used to manage data in support of conceptual model development and provide documentation and provenance for numerical simulations. An additional customized deployment of GS3 is being created for use by the United States Environmental Protection Agency (US-EPA) to aid in the CO2 injection permit application review process in one of its regions. These use cases demonstrate GS3’s flexibility, utility, and broad applicability

  13. Multi-Scaled Microstructures in Natural Rubber Characterized by Synchrotron X-ray Scattering and Optical Microscopy

    SciTech Connect (OSTI)

    Toki , S.; Hsiao, B; Amnuaypornsri , S; Sakdapipanich, J; Tanaka, Y

    2008-01-01T23:59:59.000Z

    Multi-scaled microstructures induced by natural impurities (i.e., proteins, phospholipids, carbohydrates) in natural rubber (NR) were investigated by synchrotron small-angle X-ray scattering (SAXS), wide-angle X-ray diffraction (WAXD), and optical microscopy using several kinds of untreated and chemically treated un-vulcanized samples. These microstructures include large aggregates (size less than 50 m), well-defined crystals (size less than a few 10 m), and micelles (size much less than 10 m). In un-vulcanized NR samples, even though the concentrations of natural impurities are relatively low, the dispersion of these microstructures significantly affects the mechanical properties

  14. A modern solver framework to manage solution algorithms in the Community Earth System Model

    SciTech Connect (OSTI)

    Evans, Katherine J [ORNL; Worley, Patrick H [ORNL; Nichols, Dr Jeff A [ORNL; WhiteIII, James B [National Center for Atmospheric Research (NCAR); Salinger, Andy [Sandia National Laboratories (SNL); Price, Stephen [Los Alamos National Laboratory (LANL); Lemieux, Jean-Francois [New York University; Lipscomb, William [Los Alamos National Laboratory (LANL); Perego, Mauro [Florida State University; Vertenstein, Mariana [National Center for Atmospheric Research (NCAR); Edwards, Jim [IBM and National Center for Atmospheric Research

    2012-01-01T23:59:59.000Z

    Global Earth-system models (ESM) can now produce simulations that resolve ~50 km features and include finer-scale, interacting physical processes. In order to achieve these scale-length solutions, ESMs require smaller time steps, which limits parallel performance. Solution methods that overcome these bottlenecks can be quite intricate, and there is no single set of algorithms that perform well across the range of problems of interest. This creates significant implementation challenges, which is further compounded by complexity of ESMs. Therefore, prototyping and evaluating new algorithms in these models requires a software framework that is flexible, extensible, and easily introduced into the existing software. We describe our efforts to create a parallel solver framework that links the Trilinos library of solvers to Glimmer-CISM, a continental ice sheet model used in the Community Earth System Model (CESM). We demonstrate this framework within both current and developmental versions of Glimmer-CISM and provide strategies for its integration into the rest of the CESM.

  15. Integrating Empirical Measures of Energy Efficiency into an Energy Modeling Framework

    E-Print Network [OSTI]

    Boyd, G.

    2006-01-01T23:59:59.000Z

    Integrating Empirical Measures of Energy Efficiency Into An Energy Modeling Framework Gale Boyd, Argonne National Laboratory Tools such as Data Envelopment Analysis and Stochastic Frontier Regressions provide a basis for empirical measures... of efficiency. The definition of efficiency these tools encompass can be as broadly defined as total factor productivity, or narrowly defined in terms of single inputs like energy. Given the ability to generate empirical measures of energy efficiency...

  16. A Subbasin-based framework to represent land surface processes in an Earth System Model

    SciTech Connect (OSTI)

    Tesfa, Teklu K.; Li, Hongyi; Leung, Lai-Yung R.; Huang, Maoyi; Ke, Yinghai; Sun, Yu; Liu, Ying

    2014-05-20T23:59:59.000Z

    Realistically representing spatial heterogeneity and lateral land surface processes within and between modeling units in earth system models is important because of their implications to surface energy and water exchange. The traditional approach of using regular grids as computational units in land surface models and earth system models may lead to inadequate representation of lateral movements of water, energy and carbon fluxes, especially when the grid resolution increases. Here a new subbasin-based framework is introduced in the Community Land Model (CLM), which is the land component of the Community Earth System Model (CESM). Local processes are represented assuming each subbasin as a grid cell on a pseudo grid matrix with no significant modifications to the existing CLM modeling structure. Lateral routing of water within and between subbasins is simulated with the subbasin version of a recently-developed physically based routing model, Model for Scale Adaptive River Routing (MOSART). As an illustration, this new framework is implemented in the topographically diverse region of the U.S. Pacific Northwest. The modeling units (subbasins) are delineated from high-resolution Digital Elevation Model while atmospheric forcing and surface parameters are remapped from the corresponding high resolution datasets. The impacts of this representation on simulating hydrologic processes are explored by comparing it with the default (grid-based) CLM representation. In addition, the effects of DEM resolution on parameterizing topography and the subsequent effects on runoff processes are investigated. Limited model evaluation and comparison showed that small difference between the averaged forcing can lead to more significant difference in the simulated runoff and streamflow because of nonlinear horizontal processes. Topographic indices derived from high resolution DEM may not improve the overall water balance, but affect the partitioning between surface and subsurface runoff. More systematic analyses are needed to determine the relative merits of the subbasin representation compared to the commonly used grid-based representation, especially when land surface models are approaching higher resolutions.

  17. EFFECTS OF PORE STRUCTURE CHANGE AND MULTI-SCALE HETEROGENEITY ON CONTAMINANT TRANSPORT AND REACTION RATE UPSCALING

    SciTech Connect (OSTI)

    Lindquist, W. Brent; Jones, Keith W.; Um, Wooyong; Rockhold, mark; Peters, Catherine A.; Celia, Michael A.

    2013-02-15T23:59:59.000Z

    This project addressed the scaling of geochemical reactions to core and field scales, and the interrelationship between reaction rates and flow in porous media. We targeted reactive transport problems relevant to the Hanford site ? specifically the reaction of highly caustic, radioactive waste solutions with subsurface sediments, and the immobilization of 90Sr and 129I through mineral incorporation and passive flow blockage, respectively. We addressed the correlation of results for pore-scale fluid-soil interaction with field-scale fluid flow, with the specific goals of (i) predicting attenuation of radionuclide concentration; (ii) estimating changes in flow rates through changes of soil permeabilities; and (iii) estimating effective reaction rates. In supplemental work, we also simulated reactive transport systems relevant to geologic carbon sequestration. As a whole, this research generated a better understanding of reactive transport in porous media, and resulted in more accurate methods for reaction rate upscaling and improved prediction of permeability evolution. These scientific advancements will ultimately lead to better tools for management and remediation of DOE’s legacy waste problems. We established three key issues of reactive flow upscaling, and organized this project in three corresponding thrust areas. 1) Reactive flow experiments. The combination of mineral dissolution and precipitation alters pore network structure and the subsequent flow velocities, thereby creating a complex interaction between reaction and transport. To examine this phenomenon, we conducted controlled laboratory experimentation using reactive flow-through columns. ? Results and Key Findings: Four reactive column experiments (S1, S3, S4, S5) have been completed in which simulated tank waste leachage (STWL) was reacted with pure quartz sand, with and without Aluminum. The STWL is a caustic solution that dissolves quartz. Because Al is a necessary element in the formation of secondary mineral precipitates (cancrinite), conducting experiments under conditions with and without Al allowed us to experimentally separate the conditions that lead to quartz dissolution from the conditions that lead to quartz dissolution plus cancrinite precipitation. Consistent with our expectations, in the experiments without Al, there was a substantial reduction in volume of the solid matrix. With Al there was a net increase in the volume of the solid matrix. The rate and extent of reaction was found to increase with temperature. These results demonstrate a successful effort to identify conditions that lead to increases and conditions that lead to decreases in solid matrix volume due to reactions of caustic tank wastes with quartz sands. In addition, we have begun to work with slightly larger, intermediate-scale columns packed with Hanford natural sediments and quartz. Similar dissolution and precipitation were observed in these colums. The measurements are being interpreted with reactive transport modeling using STOMP; preliminary observations are reported here. 2) Multi-Scale Imaging and Analysis. Mineral dissolution and precipitation rates within a porous medium will be different in different pores due to natural heterogeneity and the heterogeneity that is created from the reactions themselves. We used a combination of X-ray computed microtomography, backscattered electron and energy dispersive X-ray spectroscopy combined with computational image analysis to quantify pore structure, mineral distribution, structure changes and fluid-air and fluid-grain interfaces. ? Results and Key Findings: Three of the columns from the reactive flow experiments at PNNL (S1, S3, S4) were imaged using 3D X-ray computed microtomography (XCMT) at BNL and analyzed using 3DMA-rock at SUNY Stony Brook. The imaging results support the mass balance findings reported by Dr. Um’s group, regarding the substantial dissolution of quartz in column S1. An important observation is that of grain movement accompanying dissolution in the unconsolidated media. The resultant movement

  18. A second gradient theoretical framework for hierarchical multiscale modeling of materials

    SciTech Connect (OSTI)

    Luscher, Darby J [Los Alamos National Laboratory; Bronkhorst, Curt A [Los Alamos National Laboratory; Mc Dowell, David L [GEORGIA TECH

    2009-01-01T23:59:59.000Z

    A theoretical framework for the hierarchical multiscale modeling of inelastic response of heterogeneous materials has been presented. Within this multiscale framework, the second gradient is used as a non local kinematic link between the response of a material point at the coarse scale and the response of a neighborhood of material points at the fine scale. Kinematic consistency between these scales results in specific requirements for constraints on the fluctuation field. The wryness tensor serves as a second-order measure of strain. The nature of the second-order strain induces anti-symmetry in the first order stress at the coarse scale. The multiscale ISV constitutive theory is couched in the coarse scale intermediate configuration, from which an important new concept in scale transitions emerges, namely scale invariance of dissipation. Finally, a strategy for developing meaningful kinematic ISVs and the proper free energy functions and evolution kinetics is presented.

  19. Modeling Framework and Validation of a Smart Grid and Demand Response System for Wind Power Integration

    SciTech Connect (OSTI)

    Broeer, Torsten; Fuller, Jason C.; Tuffner, Francis K.; Chassin, David P.; Djilali, Ned

    2014-01-31T23:59:59.000Z

    Electricity generation from wind power and other renewable energy sources is increasing, and their variability introduces new challenges to the power system. The emergence of smart grid technologies in recent years has seen a paradigm shift in redefining the electrical system of the future, in which controlled response of the demand side is used to balance fluctuations and intermittencies from the generation side. This paper presents a modeling framework for an integrated electricity system where loads become an additional resource. The agent-based model represents a smart grid power system integrating generators, transmission, distribution, loads and market. The model incorporates generator and load controllers, allowing suppliers and demanders to bid into a Real-Time Pricing (RTP) electricity market. The modeling framework is applied to represent a physical demonstration project conducted on the Olympic Peninsula, Washington, USA, and validation simulations are performed using actual dynamic data. Wind power is then introduced into the power generation mix illustrating the potential of demand response to mitigate the impact of wind power variability, primarily through thermostatically controlled loads. The results also indicate that effective implementation of Demand Response (DR) to assist integration of variable renewable energy resources requires a diversity of loads to ensure functionality of the overall system.

  20. The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions

    E-Print Network [OSTI]

    Guenther, A. B.

    The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1) is a modeling framework for estimating fluxes of biogenic compounds between terrestrial ecosystems and the atmosphere using simple mechanistic ...

  1. A hierarchical framework for the multiscale modeling of microstructure evolution in heterogeneous materials.

    SciTech Connect (OSTI)

    Luscher, Darby J.

    2010-04-01T23:59:59.000Z

    All materials are heterogeneous at various scales of observation. The influence of material heterogeneity on nonuniform response and microstructure evolution can have profound impact on continuum thermomechanical response at macroscopic “engineering” scales. In many cases, it is necessary to treat this behavior as a multiscale process thus integrating the physical understanding of material behavior at various physical (length and time) scales in order to more accurately predict the thermomechanical response of materials as their microstructure evolves. The intent of the dissertation is to provide a formal framework for multiscale hierarchical homogenization to be used in developing constitutive models.

  2. Advanced Integration in Multi-Scale Mechanics and Welding Process Simulation in Weld Integrity Assessment

    SciTech Connect (OSTI)

    Vitek, J.M.; Wilkowski, G.M.; Brust, F.W.; Babu, S.

    2008-01-30T23:59:59.000Z

    In this project, mathematical models that predict the microstructure in pipeline steel welds were to be developed. These models were to be integrated with thermal models that describe the time-temperature history in the weld as a function of location in order to derive the spatial variation of microstructure in the weld. The microstructure predictions were also to be combined with microstructure-hardness relations, based on the additivity principle, to determine the spatial variation of hardness in the weld. EMC2 also developed microstructural models based on empirical relationships. ORNL was to pursue the development of more fundamental, theoretically based models. ORNL applied a previously developed model for inclusion formation to predict the extent and nature of inclusions that form during weld cooling from the liquid. This inclusion model was directly integrated with computational thermodynamics capability. A convenient user interface was developed for both the inclusion model and the thermodynamic phase-stability calculations. The microstructure model was based on the simultaneous transformation theory analysis as applied to the transformation of austenite to various ferrite constituents during weld cooling. The model available on the Materials Algorithm Project web site was used. Extensive modification of this model was required to correct problems with compilation and calculations as a function of the computational platform (Unix, Linux, Windows, etc.) that was used. The user interface for the inclusion model and thermodynamic phase-stability calculations was delivered to EMC2 along with the modified and correct microstructure model. Evaluation of the theoretically based model will be carried out and the predictions will be compared with experimental results as well as predictions based on the empirical models developed by EMC2.

  3. Fragments' internal and kinetic temperatures in the framework of a Nuclear Statistical Multifragmentation Model

    E-Print Network [OSTI]

    S. R. Souza; B. V. Carlson; R. Donangelo; W. G. Lynch; M. B. Tsang

    2014-11-27T23:59:59.000Z

    The agreement between the fragments' internal and kinetic temperatures with the breakup temperature is investigated using a Statistical Multifragmentation Model which makes no a priori as- sumption on the relationship between them. We thus examine the conditions for obtaining such agreement and find that, in the framework of our model, this holds only in a relatively narrow range of excitation energy. The role played by the qualitative shape of the fragments' state densities is also examined. Our results suggest that the internal temperature of the light fragments may be affected by this quantity, whose behavior may lead to constant internal temperatures over a wide excitation energy range. It thus suggests that the nuclear thermometry may provide valuable information on the nuclear state density.

  4. A multi-scale approach to address environmental impacts of small hydropower development

    SciTech Connect (OSTI)

    McManamay, Ryan A [ORNL; Samu, Nicole M [ORNL; Kao, Shih-Chieh [ORNL; Bevelhimer, Mark S [ORNL; Hetrick, Shelaine L [ORNL

    2014-01-01T23:59:59.000Z

    Hydropower development continues to grow worldwide in developed and developing countries. While the ecological and physical responses to dam construction have been well documented, translating this information into planning for hydropower development is extremely difficult. Very few studies have conducted environmental assessments to guide site-specific or widespread hydropower development. Herein, we propose a spatial approach for estimating environmental effects of hydropower development at multiple scales, as opposed to individual site-by-site assessments (e.g., environmental impact assessment). Because the complex, process-driven effects of future hydropower development may be uncertain or, at best, limited by available information, we invested considerable effort in describing novel approaches to represent environmental concerns using spatial data and in developing the spatial footprint of hydropower infrastructure. We then use two case studies in the US, one at the scale of the conterminous US and another within two adjoining rivers basins, to examine how environmental concerns can be identified and related to areas of varying energy capacity. We use combinations of reserve-design planning and multi-metric ranking to visualize tradeoffs among environmental concerns and potential energy capacity. Spatial frameworks, like the one presented, are not meant to replace more in-depth environmental assessments, but to identify information gaps and measure the sustainability of multi-development scenarios as to inform policy decisions at the basin or national level. Most importantly, the approach should foster discussions among environmental scientists and stakeholders regarding solutions to optimize energy development and environmental sustainability.

  5. Wetland model in an earth systems modeling framework for regional environmental policy analysis

    E-Print Network [OSTI]

    Awadalla, Sirein Salah

    2011-01-01T23:59:59.000Z

    The objective of this research is to investigate incorporating a wetland component into a land energy and water fluxes model, the Community Land Model (CLM). CLM is the land fluxes component of the Integrated Global Systems ...

  6. An integrated assessment modeling framework for uncertainty studies in global and regional climate change: the MIT IGSM-CAM (version 1.0)

    E-Print Network [OSTI]

    Monier, Erwan

    This paper describes a computationally efficient framework for uncertainty studies in global and regional climate change. In this framework, the Massachusetts Institute of Technology (MIT) Integrated Global System Model ...

  7. Study of Multi-scale Transport Phenomena in Tight Gas and Shale Gas Reservoir Systems 

    E-Print Network [OSTI]

    Freeman, Craig Matthew

    2013-11-25T23:59:59.000Z

    . In this work we contribute a numerical model which captures multicomponent desorption, diffusion, and phase behavior in ultra-tight rocks. We also describe a workflow for incorporating measured gas composition data into modern production analysis....

  8. Travel determinants and multi-scale transferability of national activity patterns to local populations

    SciTech Connect (OSTI)

    Henson, Kriste M [Los Alamos National Laboratory; Gou; ias, Konstadinos G [UCSB

    2010-11-30T23:59:59.000Z

    The ability to transfer national travel patterns to a local population is of interest when attempting to model megaregions or areas that exceed metropolitan planning organization (MPO) boundaries. At the core of this research are questions about the connection between travel behavior and land use, urban form, and accessibility. As a part of this process, a group of land use variables have been identified to define activity and travel patterns for individuals and households. The 2001 National Household Travel Survey (NHTS) participants are divided into categories comprised of a set of latent cluster models representing persons, travel, and land use. These are compared to two sets of cluster models constructed for two local travel surveys. Comparison of means statistical tests are used to assess differences among sociodemographic groups residing in localities with similar land uses. The results show that the NHTS and the local surveys share mean population activity and travel characteristics. However, these similarities mask behavioral heterogeneity that are shown when distributions of activity and travel behavior are examined. Therefore, data from a national household travel survey cannot be used to model local population travel characteristics if the goal to model the actual distributions and not mean travel behavior characteristics.

  9. Background Literature Research Framework Model Development Model Validation Case Study Conclusion References Mathematical Aggregation of probabilistic expert

    E-Print Network [OSTI]

    Mitchener, Paul

    . Cookes' (1991) - Classical method - test the experts. Wiper and French (1995) - Bayesian framework

  10. An Integrated Electric Power Supply Chain and Fuel Market Network Framework: Theoretical Modeling with Empirical Analysis for New England

    E-Print Network [OSTI]

    Nagurney, Anna

    a critical infrastructure for the functioning of our modern economies and societies. Electric power lightsAn Integrated Electric Power Supply Chain and Fuel Market Network Framework: Theoretical Modeling Abstract: In this paper, we develop a novel electric power supply chain network model with fuel supply

  11. An Integrated Electric Power Supply Chain and Fuel Market Network Framework: Theoretical Modeling with Empirical Analysis for New England

    E-Print Network [OSTI]

    Nagurney, Anna

    a critical infrastructure for the functioning of our modern economies and societies. Electric power lightsAn Integrated Electric Power Supply Chain and Fuel Market Network Framework: Theoretical Modeling; revised April 2008 Abstract: In this paper, we develop a novel electric power supply chain network model

  12. Access Framework: Model Text (November 2011): An Act to Establish a Framework for Development of Offshore Wind Power

    SciTech Connect (OSTI)

    Jeremy Firestone; Dawn Kurtz Crompton

    2011-10-22T23:59:59.000Z

    The model offshore wind power legislation focused on two aspects: compensation for use of ocean space and environmental assessment. In particular, the model legislation recommends the adoption of a rent and royalty scheme that is premised on high rent and low royalties in order to stimulate qualified bids from developers who are motivated to begin production as early as possible and to discourage sham bidding. The model legislation also includes a provision that sets royalties at a lower rate in the early years of project operation, and that provides states with the discretion to waive or defer rent and/or royalties for a period of time to meet the goals and objectives of energy independence, job creation, reduced emissions of conventional pollutants and greenhouse gases and increased state requirements for electricity from renewable sources. The environmental impact assessment (EIA) is structured to provide a systematic and interdisciplinary evaluation of the potential positive and negative life-cycle effects of a proposed offshore wind project on the physical, biological, cultural and socio-economic attributes of the project.

  13. Impact of Not Fully Addressing Cross-Classified Multilevel Structure in Testing Measurement Invariance and Conducting Multilevel Mixture Modeling within Structural Equation Modeling Framework

    E-Print Network [OSTI]

    Im, Myung

    2014-07-25T23:59:59.000Z

    data as hierarchical structure data in two different analytical settings under the structural equation modeling (SEM) framework. Study 1 evaluated the performance of conventional multilevel confirmatory factor analysis (MCFA) which assumes hierarchical...

  14. Tracking and Analysis Framework (TAF) model documentation and user`s guide

    SciTech Connect (OSTI)

    Bloyd, C.; Camp, J.; Conzelmann, G. [and others

    1996-12-01T23:59:59.000Z

    With passage of the 1990 Clean Air Act Amendments, the United States embarked on a policy for controlling acid deposition that has been estimated to cost at least $2 billion. Title IV of the Act created a major innovation in environmental regulation by introducing market-based incentives - specifically, by allowing electric utility companies to trade allowances to emit sulfur dioxide (SO{sub 2}). The National Acid Precipitation Assessment Program (NAPAP) has been tasked by Congress to assess what Senator Moynihan has termed this {open_quotes}grand experiment.{close_quotes} Such a comprehensive assessment of the economic and environmental effects of this legislation has been a major challenge. To help NAPAP face this challenge, the U.S. Department of Energy (DOE) has sponsored development of an integrated assessment model, known as the Tracking and Analysis Framework (TAF). This section summarizes TAF`s objectives and its overall design.

  15. A composite application of source and receptor models to fine particle concentrations in Portage, Wisconsin

    SciTech Connect (OSTI)

    Chow, J.C.; Severance, P.W.; Spengler, J.D.

    1985-01-01T23:59:59.000Z

    The research reported here extends source apportioment techniques by combining four air quality model types to establish multi-scale source/receptor relationships. The selected models are: Branching Atmospheric Trajectory (BAT) model for regional-scale contributors; Principal Component Analysis (PCA) receptor model for urban and regional-scale contributors; Chemical Mass Balance (CMB) receptor model for urban- and regional-scale contributors; Industrial Source Complex Short-Term (ISC-ST) dispersion model for urban-scale contributors. The framework in which these models are placed allows each one to be replaced with better ones when these new models have been demonstrated to be superior. The theoretical basis, previous applications, and the results of model evaluation studies are summarized by Chow in great detail and will not be presented here. The objectives of this research are: to develop a method for multi-scale composite modeling applications; to define the data requirements; and to apportion local and distract pollution sources using the composite modeling strategy. Results from the entire research effort are too lengthy to include here. This paper focuses on CMB portion of the method. Trajectory and Principal Component Analyses were reported earlier.

  16. A multi-scale analysis of the impact of pressure on melting of crystalline phase change material germanium telluride

    SciTech Connect (OSTI)

    Liu, Jie, E-mail: liujie@uw.edu [Department of Electrical Engineering, University of Washington, 185 Stevens Way, Paul Allen Center, Seattle, Washington 98195 (United States)

    2014-10-27T23:59:59.000Z

    The impact of the moderate pressure (about 10{sup 0?}GPa) on the melting of crystalline (c-) phase change material (PCM) germanium telluride (GeTe) is analyzed, by combining the heat transfer equation in the PCM device scale (10{sup 1}–10{sup 2?}nm and beyond), and the ab initio molecular dynamics and the nudged elastic band simulations in the atomistic scale (10{sup ?1}–10{sup 0?}nm). The multi-scale analysis unravels that a pressure P?=?1.0?GPa can increase the melting temperature of c-GeTe and the PCM device “reset” operation energy consumption by 6%–7%. It is shown that the melting temperature increase originates from the pressure-induced raise of the energy barrier of the umbrella-flip transition of the Ge atom from the octahedral symmetry site to the tetrahedral symmetry site. It is revealed that when P?>?1.0?GPa, which is normal in PCM devices, the “reset” energy will be increased even by more. Based on the analysis, suggestions to alleviate pressure-induced raise of melting temperature and “reset” energy are provided.

  17. A multi-scale metrics approach to forest fragmentation for Strategic Environmental Impact Assessment

    SciTech Connect (OSTI)

    Kim, Eunyoung, E-mail: eykim@kei.re.kr [Korea Environment Institute, 215 Jinheungno, Eunpyeong-gu, Seoul 122-706 (Korea, Republic of)] [Korea Environment Institute, 215 Jinheungno, Eunpyeong-gu, Seoul 122-706 (Korea, Republic of); Song, Wonkyong, E-mail: wksong79@gmail.com [Suwon Research Institute, 145 Gwanggyo-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do 443-270 (Korea, Republic of)] [Suwon Research Institute, 145 Gwanggyo-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do 443-270 (Korea, Republic of); Lee, Dongkun, E-mail: dklee7@snu.ac.kr [Department of Landscape Architecture and Rural System Engineering, Seoul National University, 599 Gwanakro, Gwanak-gu, Seoul 151-921 (Korea, Republic of) [Department of Landscape Architecture and Rural System Engineering, Seoul National University, 599 Gwanakro, Gwanak-gu, Seoul 151-921 (Korea, Republic of); Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul 151-921 (Korea, Republic of)

    2013-09-15T23:59:59.000Z

    Forests are becoming severely fragmented as a result of land development. South Korea has responded to changing community concerns about environmental issues. The nation has developed and is extending a broad range of tools for use in environmental management. Although legally mandated environmental compliance requirements in South Korea have been implemented to predict and evaluate the impacts of land-development projects, these legal instruments are often insufficient to assess the subsequent impact of development on the surrounding forests. It is especially difficult to examine impacts on multiple (e.g., regional and local) scales in detail. Forest configuration and size, including forest fragmentation by land development, are considered on a regional scale. Moreover, forest structure and composition, including biodiversity, are considered on a local scale in the Environmental Impact Assessment process. Recently, the government amended the Environmental Impact Assessment Act, including the SEA, EIA, and small-scale EIA, to require an integrated approach. Therefore, the purpose of this study was to establish an impact assessment system that minimizes the impacts of land development using an approach that is integrated across multiple scales. This study focused on forest fragmentation due to residential development and road construction sites in selected Congestion Restraint Zones (CRZs) in the Greater Seoul Area of South Korea. Based on a review of multiple-scale impacts, this paper integrates models that assess the impacts of land development on forest ecosystems. The applicability of the integrated model for assessing impacts on forest ecosystems through the SEIA process is considered. On a regional scale, it is possible to evaluate the location and size of a land-development project by considering aspects of forest fragmentation, such as the stability of the forest structure and the degree of fragmentation. On a local scale, land-development projects should consider the distances at which impacts occur in the vicinity of the forest ecosystem, and these considerations should include the impacts on forest vegetation and bird species. Impacts can be mitigated by considering the distances at which these influences occur. In particular, this paper presents an integrated environmental impact assessment system to be applied in the SEIA process. The integrated assessment system permits the assessment of the cumulative impacts of land development on multiple scales. -- Highlights: • The model is to assess the impact of forest fragmentation across multiple scales. • The paper suggests the type of forest fragmentation on a regional scale. • The type can be used to evaluate the location and size of a land development. • The paper shows the influence distance of land development on a local scale. • The distance can be used to mitigate the impact at an EIA process.

  18. ADVANCED INTEGRATION OF MULTI-SCALE MECHANICS AND WELDING PROCESS SIMULATION IN WELD INTEGRITY ASSESSMENT

    SciTech Connect (OSTI)

    Wilkowski, Gery M.; Rudland, David L.; Shim, Do-Jun; Brust, Frederick W.; Babu, Sundarsanam

    2008-06-30T23:59:59.000Z

    The potential to save trillions of BTU’s in energy usage and billions of dollars in cost on an annual basis based on use of higher strength steel in major oil and gas transmission pipeline construction is a compelling opportunity recognized by both the US Department of Energy (DOE). The use of high-strength steels (X100) is expected to result in energy savings across the spectrum, from manufacturing the pipe to transportation and fabrication, including welding of line pipe. Elementary examples of energy savings include more the 25 trillion BTUs saved annually based on lower energy costs to produce the thinner-walled high-strength steel pipe, with the potential for the US part of the Alaskan pipeline alone saving more than 7 trillion BTU in production and much more in transportation and assembling. Annual production, maintenance and installation of just US domestic transmission pipeline is likely to save 5 to 10 times this amount based on current planned and anticipated expansions of oil and gas lines in North America. Among the most important conclusions from these studies were: • While computational weld models to predict residual stress and distortions are well-established and accurate, related microstructure models need improvement. • Fracture Initiation Transition Temperature (FITT) Master Curve properly predicts surface-cracked pipe brittle-to-ductile initiation temperature. It has value in developing Codes and Standards to better correlate full-scale behavior from either CTOD or Charpy test results with the proper temperature shifts from the FITT master curve method. • For stress-based flaw evaluation criteria, the new circumferentially cracked pipe limit-load solution in the 2007 API 1104 Appendix A approach is overly conservative by a factor of 4/?, which has additional implications. . • For strain-based design of girth weld defects, the hoop stress effect is the most significant parameter impacting CTOD-driving force and can increase the crack-driving force by a factor of 2 depending on strain-hardening, pressure level as a % of SMYS, and flaw size. • From years of experience in circumferential fracture analyses and experimentation, there has not been sufficient integration of work performed for other industries into analogous problems facing the oil and gas pipeline markets. Some very basic concepts and problems solved previously in these fields could have circumvented inconsistencies seen in the stress-based and strain-based analysis efforts. For example, in nuclear utility piping work, more detailed elastic-plastic fracture analyses were always validated in their ability to predict loads and displacements (stresses and strains). The eventual implementation of these methodologies will result in acceleration of the industry adoption of higher-strength line-pipe steels.

  19. Physical and mechanical metallurgy of zirconium alloys for nuclear applications: a multi-scale computational study

    SciTech Connect (OSTI)

    Michael V. Glazoff

    2014-10-01T23:59:59.000Z

    In the post-Fukushima world, the stability of materials under extreme conditions is an important issue for the safety of nuclear reactors. Because the nuclear industry is going to continue using advanced zirconium cladding materials in the foreseeable future, it become critical to gain fundamental understanding of the several interconnected problems. First, what are the thermodynamic and kinetic factors affecting the oxidation and hydrogen pick-up by these materials at normal, off-normal conditions, and in long-term storage? Secondly, what protective coatings (if any) could be used in order to gain extremely valuable time at off-normal conditions, e.g., when temperature exceeds the critical value of 2200°F? Thirdly, the kinetics of oxidation of such protective coating or braiding needs to be quantified. Lastly, even if some degree of success is achieved along this path, it is absolutely critical to have automated inspection algorithms allowing identifying defects of cladding as soon as possible. This work strives to explore these interconnected factors from the most advanced computational perspective, utilizing such modern techniques as first-principles atomistic simulations, computational thermodynamics of materials, diffusion modeling, and the morphological algorithms of image processing for defect identification. Consequently, it consists of the four parts dealing with these four problem areas preceded by the introduction and formulation of the studied problems. In the 1st part an effort was made to employ computational thermodynamics and ab initio calculations to shed light upon the different stages of oxidation of ziraloys (2 and 4), the role of microstructure optimization in increasing their thermal stability, and the process of hydrogen pick-up, both in normal working conditions and in long-term storage. The 2nd part deals with the need to understand the influence and respective roles of the two different plasticity mechanisms in Zr nuclear alloys: twinning (at low T) and crystallographic slip (higher T’s). For that goal, a description of the advanced plasticity model is outlined featuring the non-associated flow rule in hcp materials including Zr. The 3rd part describes the kinetic theory of oxidation of the several materials considered to be perspective coating materials for Zr alloys: SiC and ZrSiO4. In the 4th part novel and advanced projectional algorithms for defect identification in zircaloy coatings are described. In so doing, the author capitalized on some 12 years of his applied industrial research in this area. Our conclusions and recommendations are presented in the 5th part of this work, along with the list of used literature and the scripts for atomistic, thermodynamic, kinetic, and morphological computations.

  20. Multi-Scale Monitoring and Prediction of System Responses to Biostimulation

    SciTech Connect (OSTI)

    Hubbard, Susan; Williams, Ken; Steefel, Carl; Long, Phil; Kinsong Chen, Slater, Lee; Banfield, Jill

    2006-04-05T23:59:59.000Z

    To advance solutions needed for remediation of DOE contaminated sites, approaches are needed that can elucidate and predict reactions associated with coupled biological, geochemical, and hydrological processes over a variety of spatial scales and in heterogeneous environments. Our laboratory experimental experiments, which were conducted under controlled conditions, suggest that geophysical methods have the potential for elucidating system transformations that often occur during remediation, such as the generation of gases and precipitates. In this new ERSP project, we will Integrate hydrological, biogeochemical, and geophysical expertise and approaches to: (1) Explore the potential of geophysical methods for detecting changes in physical, chemical, and biological properties at the field scale; and (2) Explore the joint use of reactive transport modeling and geophysical monitoring information for improvements in both methods. A brief review of our previously-conducted laboratory results are given in Section II. Section III describes the approach for our new project, which will have both laboratory and field-scale components. The field scale component will be conducted at the Rifle, CO. site, which is described in Section IV.

  1. Estimating Reaction Rate Coefficients Within a Travel-Time Modeling Framework

    SciTech Connect (OSTI)

    Gong, R [Georgia Institute of Technology; Lu, C [Georgia Institute of Technology; Luo, Jian [Georgia Institute of Technology; Wu, Wei-min [Stanford University; Cheng, H. [Stanford University; Criddle, Craig [Stanford University; Kitanidis, Peter K. [Stanford University; Gu, Baohua [ORNL; Watson, David B [ORNL; Jardine, Philip M [ORNL; Brooks, Scott C [ORNL

    2011-03-01T23:59:59.000Z

    A generalized, efficient, and practical approach based on the travel-time modeling framework is developed to estimate in situ reaction rate coefficients for groundwater remediation in heterogeneous aquifers. The required information for this approach can be obtained by conducting tracer tests with injection of a mixture of conservative and reactive tracers and measurements of both breakthrough curves (BTCs). The conservative BTC is used to infer the travel-time distribution from the injection point to the observation point. For advection-dominant reactive transport with well-mixed reactive species and a constant travel-time distribution, the reactive BTC is obtained by integrating the solutions to advective-reactive transport over the entire travel-time distribution, and then is used in optimization to determine the in situ reaction rate coefficients. By directly working on the conservative and reactive BTCs, this approach avoids costly aquifer characterization and improves the estimation for transport in heterogeneous aquifers which may not be sufficiently described by traditional mechanistic transport models with constant transport parameters. Simplified schemes are proposed for reactive transport with zero-, first-, nth-order, and Michaelis-Menten reactions. The proposed approach is validated by a reactive transport case in a two-dimensional synthetic heterogeneous aquifer and a field-scale bioremediation experiment conducted at Oak Ridge, Tennessee. The field application indicates that ethanol degradation for U(VI)-bioremediation is better approximated by zero-order reaction kinetics than first-order reaction kinetics.

  2. Final Report: Geoelectrical Measurement of Multi-Scale Mass Transfer Parameters

    SciTech Connect (OSTI)

    Haggerty, Roy; Day-Lewis, Fred; Singha, Kamini; Johnson, Timothy; Binley, Andrew; Lane, John

    2014-03-20T23:59:59.000Z

    Mass transfer affects contaminant transport and is thought to control the efficiency of aquifer remediation at a number of sites within the Department of Energy (DOE) complex. An improved understanding of mass transfer is critical to meeting the enormous scientific and engineering challenges currently facing DOE. Informed design of site remedies and long-term stewardship of radionuclide-contaminated sites will require new cost-effective laboratory and field techniques to measure the parameters controlling mass transfer spatially and across a range of scales. In this project, we sought to capitalize on the geophysical signatures of mass transfer. Previous numerical modeling and pilot-scale field experiments suggested that mass transfer produces a geoelectrical signature—a hysteretic relation between sampled (mobile-domain) fluid conductivity and bulk (mobile + immobile) conductivity—over a range of scales relevant to aquifer remediation. In this work, we investigated the geoelectrical signature of mass transfer during tracer transport in a series of controlled experiments to determine the operation of controlling parameters, and also investigated the use of complex-resistivity (CR) as a means of quantifying mass transfer parameters in situ without tracer experiments. In an add-on component to our grant, we additionally considered nuclear magnetic resonance (NMR) to help parse mobile from immobile porosities. Including the NMR component, our revised study objectives were to: 1. Develop and demonstrate geophysical approaches to measure mass-transfer parameters spatially and over a range of scales, including the combination of electrical resistivity monitoring, tracer tests, complex resistivity, nuclear magnetic resonance, and materials characterization; and 2. Provide mass-transfer estimates for improved understanding of contaminant fate and transport at DOE sites, such as uranium transport at the Hanford 300 Area. To achieve our objectives, we implemented a 3-part research plan involving (1) development of computer codes and techniques to estimate mass-transfer parameters from time-lapse electrical data; (2) bench-scale experiments on synthetic materials and materials from cores from the Hanford 300 Area; and (3) field demonstration experiments at the DOE’s Hanford 300 Area. In a synergistic add-on to our workplan, we analyzed data from field experiments performed at the DOE Naturita Site under a separate DOE SBR grant, on which PI Day-Lewis served as co-PI. Techniques developed for application to Hanford datasets also were applied to data from Naturita.

  3. An Integrative Modeling Framework to Evaluate the Productivity and Sustainability of Biofuel Crop Production Systems

    SciTech Connect (OSTI)

    Zhang, Xuesong; Izaurralde, Roberto C.; Manowitz, David H.; West, T. O.; Post, W. M.; Thomson, Allison M.; Bandaru, V. P.; Nichols, J.; Williams, J.R.

    2010-09-08T23:59:59.000Z

    The potential expansion of biofuel production raises food, energy, and environmental challenges that require careful assessment of the impact of biofuel production on greenhouse gas (GHG) emissions, soil erosion, nutrient loading, and water quality. In this study, we describe a spatially-explicit integrative modeling framework (SEIMF) to understand and quantify the environmental impacts of different biomass cropping systems. This SEIMF consists of three major components: 1) a geographic information system (GIS)-based data analysis system to define spatial modeling units with resolution of 56 m to address spatial variability, 2) the biophysical and biogeochemical model EPIC (Environmental Policy Integrated Climate) applied in a spatially-explicit way to predict biomass yield, GHG emissions, and other environmental impacts of different biofuel crops production systems, and 3) an evolutionary multi-objective optimization algorithm for exploring the trade-offs between biofuel energy production and unintended ecosystem-service responses. Simple examples illustrate the major functions of the SEIMF when applied to a 9-county Regional Intensive Modeling Area (RIMA) in SW Michigan to 1) simulate biofuel crop production, 2) compare impacts of management practices and local ecosystem settings, and 3) optimize the spatial configuration of different biofuel production systems by balancing energy production and other ecosystem-service variables. Potential applications of the SEIMF to support life cycle analysis and provide information on biodiversity evaluation and marginal-land identification are also discussed. The SEIMF developed in this study is expected to provide a useful tool for scientists and decision makers to understand sustainability issues associated with the production of biofuels at local, regional, and national scales.

  4. An integrative modeling framework to evaluate the productivity and sustainability of biofuel crop production systems

    SciTech Connect (OSTI)

    Zhang, X [University of Maryland; Izaurralde, R. C. [University of Maryland; Manowitz, D. [University of Maryland; West, T. O. [University of Maryland; Thomson, A. M. [University of Maryland; Post, Wilfred M [ORNL; Bandaru, Vara Prasad [ORNL; Nichols, Jeff [ORNL; Williams, J. [AgriLIFE, Temple, TX

    2010-10-01T23:59:59.000Z

    The potential expansion of biofuel production raises food, energy, and environmental challenges that require careful assessment of the impact of biofuel production on greenhouse gas (GHG) emissions, soil erosion, nutrient loading, and water quality. In this study, we describe a spatially explicit integrative modeling framework (SEIMF) to understand and quantify the environmental impacts of different biomass cropping systems. This SEIMF consists of three major components: (1) a geographic information system (GIS)-based data analysis system to define spatial modeling units with resolution of 56 m to address spatial variability, (2) the biophysical and biogeochemical model Environmental Policy Integrated Climate (EPIC) applied in a spatially-explicit way to predict biomass yield, GHG emissions, and other environmental impacts of different biofuel crops production systems, and (3) an evolutionary multiobjective optimization algorithm for exploring the trade-offs between biofuel energy production and unintended ecosystem-service responses. Simple examples illustrate the major functions of the SEIMF when applied to a nine-county Regional Intensive Modeling Area (RIMA) in SW Michigan to (1) simulate biofuel crop production, (2) compare impacts of management practices and local ecosystem settings, and (3) optimize the spatial configuration of different biofuel production systems by balancing energy production and other ecosystem-service variables. Potential applications of the SEIMF to support life cycle analysis and provide information on biodiversity evaluation and marginal-land identification are also discussed. The SEIMF developed in this study is expected to provide a useful tool for scientists and decision makers to understand sustainability issues associated with the production of biofuels at local, regional, and national scales.

  5. Hypothetical Distance Learning Program Costs Model A framework for thinking about the comprehensive costs of hosting a DL program

    E-Print Network [OSTI]

    Snider, Barry B.

    Hypothetical Distance Learning Program Costs Model A framework for thinking about the comprehensive costs of hosting a DL program Start-Up Ongoing Explanation 100,000$ 100,000$ FTE needed to develop any or repurpose old courses for the online context. Infrastructure Costs tbd tbd Cost of adding or improving

  6. Towards a Model-based Application Integration Framework for Smart Oilfields Cong Zhang, Amol Bakshi, Viktor Prasanna

    E-Print Network [OSTI]

    Prasanna, Viktor K.

    Towards a Model-based Application Integration Framework for Smart Oilfields Cong Zhang, Amol Bakshi- duction has led to an industry-wide push to develop smart oilfields for the future. Applications for smart oilfields are characterized with heterogeneous data and resources, com- plicated business processes

  7. The Brera Multi-scale Wavelet (BMW) ROSAT HRI source catalog. II: application to the HRI and first results

    E-Print Network [OSTI]

    Sergio Campana; Davide Lazzati; Maria Rosa Panzera; Gianpiero Tagliaferri

    1999-04-27T23:59:59.000Z

    The wavelet detection algorithm (WDA) described in the accompanying paper by Lazzati et al. is made suited for a fast and efficient analysis of images taken with the High Resolution Imager (HRI) instrument on board the ROSAT satellite. An extensive testing is carried out on the detection pipeline: HRI fields with different exposure times are simulated and analysed in the same fashion as the real data. Positions are recovered with few arcsecond errors, whereas fluxes are within a factor of two from their input values in more than 90% of the cases in the deepest images. At variance with the ``sliding-box'' detection algorithms, the WDA provides also a reliable description of the source extension, allowing for a complete search of e.g. supernova remnant or cluster of galaxies in the HRI fields. A completeness analysis on simulated fields shows that for the deepest exposures considered (~120 ks) a limiting flux of \\~3x10^{-15} erg/cm2/s can be reached over the entire field of view. We test the algorithm on real HRI fields selected for their crowding and/or presence of extended or bright sources (e.g. cluster of galaxies and of stars, supernova remnants). We show that our algorithm compares favorably with other X-ray detection algorithms such as XIMAGE and EXSAS. A complete catalog will result from our analysis: it will consist of the Brera Multi-scale Wavelet Bright Source Catalog (BMW-BSC) with sources detected with a significance >4.5 sigma and of the Faint Source Catalog (BMW-FSC) with sources at >3.5 sigma. A conservative estimate based on the extragalactic log(N)-log(S) indicates that at least 16000 sources will be revealed in the complete analysis of the whole HRI dataset.

  8. Multi-Scale Mass Transfer Processes Controlling Natural Attenuation and Engineered Remediation: An IFRC Focused on Hanford’s 300 Area Uranium Plume January 2011 to January 2012

    SciTech Connect (OSTI)

    Zachara, John M.; Bjornstad, Bruce N.; Christensen, John N.; Conrad, Mark S.; Fredrickson, Jim K.; Freshley, Mark D.; Haggerty, Roy; Hammond, Glenn E.; Kent, Douglas B.; Konopka, Allan; Lichtner, Peter C.; Liu, Chongxuan; McKinley, James P.; Murray, Christopher J.; Rockhold, Mark L.; Rubin, Yoram; Vermeul, Vincent R.; Versteeg, Roelof J.; Zheng, Chunmiao

    2012-03-05T23:59:59.000Z

    The Integrated Field Research Challenge (IFRC) at the Hanford Site 300 Area uranium (U) plume addresses multi-scale mass transfer processes in a complex subsurface biogeochemical setting where groundwater and riverwater interact. A series of forefront science questions on reactive mass transfer motivates research. These questions relate to the effect of spatial heterogeneities; the importance of scale; coupled interactions between biogeochemical, hydrologic, and mass transfer processes; and measurements and approaches needed to characterize and model a mass-transfer dominated biogeochemical system. The project was initiated in February 2007, with CY 2007, CY 2008, CY 2009, and CY 2010 progress summarized in preceding reports. A project peer review was held in March 2010, and the IFRC project acted upon all suggestions and recommendations made in consequence by reviewers and SBR/DOE. These responses have included the development of 'Modeling' and 'Well-Field Mitigation' plans that are now posted on the Hanford IFRC web-site, and modifications to the IFRC well-field completed in CY 2011. The site has 35 instrumented wells, and an extensive monitoring system. It includes a deep borehole for microbiologic and biogeochemical research that sampled the entire thickness of the unconfined 300 A aquifer. Significant, impactful progress has been made in CY 2011 including: (i) well modifications to eliminate well-bore flows, (ii) hydrologic testing of the modified well-field and upper aquifer, (iii) geophysical monitoring of winter precipitation infiltration through the U-contaminated vadose zone and spring river water intrusion to the IFRC, (iv) injection experimentation to probe the lower vadose zone and to evaluate the transport behavior of high U concentrations, (v) extended passive monitoring during the period of water table rise and fall, and (vi) collaborative down-hole experimentation with the PNNL SFA on the biogeochemistry of the 300 A Hanford-Ringold contact and the underlying redox transition zone. The modified well-field has functioned superbly without any evidence for well-bore flows. Beyond these experimental efforts, our site-wide reactive transport models (PFLOTRAN and eSTOMP) have been updated to include site geostatistical models of both hydrologic properties and adsorbed U distribution; and new hydrologic characterization measurements of the upper aquifer. These increasingly robust models are being used to simulate past and recent U desorption-adsorption experiments performed under different hydrologic conditions, and heuristic modeling to understand the complex functioning of the smear zone. We continued efforts to assimilate geophysical logging and 3D ERT characterization data into our site wide geophysical model, with significant and positive progress in 2011 that will enable publication in 2012. Our increasingly comprehensive field experimental results and robust reactive transport simulators, along with the field and laboratory characterization, are leading to a new conceptual model of U(VI) flow and transport in the IFRC footprint and the 300 Area in general, and insights on the microbiological community and associated biogeochemical processes influencing N, S, C, Mn, and Fe. Collectively these findings and higher scale models are providing a unique and unparalleled system-scale understanding of the biogeochemical function of the groundwater-river interaction zone.

  9. "Catalyzing Action Towards Sustainability of Deltaic Systems with an Integrated Modeling Framework for Risk Assessment"

    E-Print Network [OSTI]

    Foufoula-Georgiou, Efi

    -ecological systems undergoing change (Delta-SRES) 2. Develop and deliver a science-based delta sustainability framework for risk assessment and decision support (Delta-RADS) 3. Build an international repository of data

  10. Model-based Estimation of Flexibility and Optionability in an Integrated Real Options Framework

    E-Print Network [OSTI]

    Mikaelian, Tsoline

    Uncertainties can be managed through real options that provide a decision maker the right, but not the obligation, to exercise actions at a later time. In previous work we introduced an integrated real options framework ...

  11. Multi-Scale Mass Transfer Processes Controlling Natural Attenuation and Engineered Remediation: An IFRC Focused on Hanford’s 300 Area Uranium Plume January 2010 to January 2011

    SciTech Connect (OSTI)

    Zachara, John M.; Bjornstad, Bruce N.; Christensen, John N.; Conrad, Mark S.; Fredrickson, Jim K.; Freshley, Mark D.; Haggerty, Roy; Hammond, Glenn E.; Kent, Douglas B.; Konopka, Allan; Lichtner, Peter C.; Liu, Chongxuan; McKinley, James P.; Murray, Christopher J.; Rockhold, Mark L.; Rubin, Yoram; Vermeul, Vincent R.; Versteeg, Roelof J.; Ward, Anderson L.; Zheng, Chunmiao

    2011-02-01T23:59:59.000Z

    The Integrated Field Research Challenge (IFRC) at the Hanford Site 300 Area uranium (U) plume addresses multi-scale mass transfer processes in a complex subsurface hydrogeologic setting where groundwater and riverwater interact. A series of forefront science questions on reactive mass transfer focus research. These questions relate to the effect of spatial heterogeneities; the importance of scale; coupled interactions between biogeochemical, hydrologic, and mass transfer processes; and measurements and approaches needed to characterize and model a mass-transfer dominated system. The project was initiated in February 2007, with CY 2007, CY 2008, and CY 2009 progress summarized in preceding reports. A project peer review was held in March 2010, and the IFRC project has responded to all suggestions and recommendations made in consequence by reviewers and SBR/DOE. These responses have included the development of “Modeling” and “Well-Field Mitigation” plans that are now posted on the Hanford IFRC web-site. The site has 35 instrumented wells, and an extensive monitoring system. It includes a deep borehole for microbiologic and biogeochemical research that sampled the entire thickness of the unconfined 300 A aquifer. Significant, impactful progress has been made in CY 2010 including the quantification of well-bore flows in the fully screened wells and the testing of means to mitigate them; the development of site geostatistical models of hydrologic and geochemical properties including the distribution of U; developing and parameterizing a reactive transport model of the smear zone that supplies contaminant U to the groundwater plume; performance of a second passive experiment of the spring water table rise and fall event with a associated multi-point tracer test; performance of downhole biogeochemical experiments where colonization substrates and discrete water and gas samplers were deployed to the lower aquifer zone; and modeling of past injection experiments for model parameterization, deconvolution of well-bore flow effects, system understanding, and publication. We continued efforts to assimilate geophysical logging and 3D ERT characterization data into our site wide geophysical model, and have now implemented a new strategy for this activity to bypass an approach that was found unworkable. An important focus of CY 2010 activities has been infrastructure modification to the IFRC site to eliminate vertical well bore flows in the fully screened wells. The mitigation procedure was carefully evaluated and is now being implementated. A new experimental campaign is planned for early spring 2011 that will utilize the modified well-field for a U reactive transport experiment in the upper aquifer zone. Preliminary geophysical monitoring experiments of rainwater recharge in the vadose zone have been initiated with promising results, and a controlled infiltration experiment to evaluate U mobilization from the vadose zone is now under planning for the September 2011. The increasingly comprehensive field experimental results, along with the field and laboratory characterization, are leading to a new conceptual model of U(VI) flow and transport in the IFRC footprint and the 300 Area in general, and insights on the microbiological community and associated biogeochemical processes.

  12. Multi-Scale Mass Transfer Processes Controlling Natural Attenuation and Engineered Remediation: An IFRC Focused on Hanford’s 300 Area Uranium Plume

    SciTech Connect (OSTI)

    Zachara, John M.; Bjornstad, Bruce N.; Christensen, John N.; Conrad, Mark E.; Fredrickson, Jim K.; Freshley, Mark D.; Haggerty, Roy; Hammon, Glenn; Kent, Douglas B.; Konopka, Allan; Lichtner, Peter C.; Liu, Chongxuan; McKinley, James P.; Murray, Christopher J.; Rockhold, Mark L.; Rubin, Yoram; Vermeul, Vincent R.; Versteeg, Roelof J.; Ward, Anderson L.; Zheng, Chunmiao

    2010-02-01T23:59:59.000Z

    The Integrated Field-Scale Subsurface Research Challenge (IFRC) at the Hanford Site 300 Area uranium (U) plume addresses multi-scale mass transfer processes in a complex hydrogeologic setting where groundwater and riverwater interact. A series of forefront science questions on mass transfer are posed for research which relate to the effect of spatial heterogeneities; the importance of scale; coupled interactions between biogeochemical, hydrologic, and mass transfer processes; and measurements and approaches needed to characterize and model a mass-transfer dominated system. The project was initiated in February 2007, with CY 2007 and CY 2008 progress summarized in preceding reports. The site has 35 instrumented wells, and an extensive monitoring system. It includes a deep borehole for microbiologic and biogeochemical research that sampled the entire thickness of the unconfined 300 A aquifer. Significant, impactful progress has been made in CY 2009 with completion of extensive laboratory measurements on field sediments, field hydrologic and geophysical characterization, four field experiments, and modeling. The laboratory characterization results are being subjected to geostatistical analyses to develop spatial heterogeneity models of U concentration and chemical, physical, and hydrologic properties needed for reactive transport modeling. The field experiments focused on: (1) physical characterization of the groundwater flow field during a period of stable hydrologic conditions in early spring, (2) comprehensive groundwater monitoring during spring to characterize the release of U(VI) from the lower vadose zone to the aquifer during water table rise and fall, (3) dynamic geophysical monitoring of salt-plume migration during summer, and (4) a U reactive tracer experiment (desorption) during the fall. Geophysical characterization of the well field was completed using the down-well Electrical Resistance Tomography (ERT) array, with results subjected to robust, geostatistically constrained inversion analyses. These measurements along with hydrologic characterization have yielded 3D distributions of hydraulic properties that have been incorporated into an updated and increasingly robust hydrologic model. Based on significant findings from the microbiologic characterization of deep borehole sediments in CY 2008, down-hole biogeochemistry studies were initiated where colonization substrates and spatially discrete water and gas samplers were deployed to select wells. The increasingly comprehensive field experimental results, along with the field and laboratory characterization, are leading to a new conceptual model of U(VI) flow and transport in the IFRC footprint and the 300 Area in general, and insights on the microbiological community and associated biogeochemical processes. A significant issue related to vertical flow in the IFRC wells was identified and evaluated during the spring and fall field experimental campaigns. Both upward and downward flows were observed in response to dynamic Columbia River stage. The vertical flows are caused by the interaction of pressure gradients with our heterogeneous hydraulic conductivity field. These impacts are being evaluated with additional modeling and field activities to facilitate interpretation and mitigation. The project moves into CY 2010 with ambitious plans for a drilling additional wells for the IFRC well field, additional experiments, and modeling. This research is part of the ERSP Hanford IFRC at Pacific Northwest National Laboratory.

  13. Roadmap Document for Pacific Northwest National Laboratory Contribution to the Open Modeling Framework

    SciTech Connect (OSTI)

    Fuller, Jason C.; Fisher, Andrew R.; Ciraci, Selim; Hammerstrom, Janelle L.; Hauer, Matthew L.; Schneider, Kevin P.

    2013-05-30T23:59:59.000Z

    The Cooperative Research Network (CRN) of the National Rural Electric Cooperative Association (NRECA) has identified GridLAB-D as a tool that would provide significant benefit to its member utilities. However, they have also noted that the complexity of the tool would be a significant barrier for adoption. As can often happen in complex simulation environments, as the available capabilities and flexibility increases, the usability of the software decreases except for a few “power” users; this is not unique to GridLAB-D. While GridLAB-D has expanded to a considerable user base, with a few notable exceptions (e.g., American Electric Power) most users are focused on research and development. As a result, NRECA/CRN has proposed an Open Modeling Framework (OMF) designed to make the capabilities of GridLAB-D, and other advanced grid tools, available via a web interface. This will allow utility users to access many of the capabilities of GridLAB-D, with little to no knowledge of the tool itself. Other components will be layered over the simulation engines to provide the user with business support functions, allowing full business case scenarios to be created from the technical data generated within the simulations. Because of the open availability and potential national benefit of the OMF, PNNL has been tasked with supporting NRECA/CRN’s development of the tool, with a focus on incorporating GridLAB-D within the OMF structure and expanding GridLAB-D capabilities to support OMF functions. The GridLAB-D enhancements will be provided first to the OMF developers, but will also be delivered to the wider GridLAB-D community after validation via the community repository. This report is intended to provide a roadmap for the intended enhancements to be delivered by PNNL. Seven tasks were identified in cooperation with NRECA/CRN – each is briefly discussed, including potential outcomes and deadlines.

  14. Towards next generation ocean models : novel discontinuous Galerkin schemes for 2D unsteady biogeochemical models

    E-Print Network [OSTI]

    Ueckermann, Mattheus Percy

    2009-01-01T23:59:59.000Z

    A new generation of efficient parallel, multi-scale, and interdisciplinary ocean models is required for better understanding and accurate predictions. The purpose of this thesis is to quantitatively identify promising ...

  15. A modeling and control framework for operating large-scale electric power systems under present and newly evolving competitive industry structures

    E-Print Network [OSTI]

    Ilic, Marija

    1995-01-01T23:59:59.000Z

    This paper introduces a systematic, structure-based modeling framework for analysis and control of electric power systems for processes evolving over the mid-term and long-term time horizons. Much simpler models than the ...

  16. Implementation and Application of SAPRC07 and MCM Mechanisms in the Multi-scale Community Air Quality Model

    E-Print Network [OSTI]

    Li, Jingyi

    2012-02-14T23:59:59.000Z

    aldehydes generated from parent VOCs are tracked separately using tagged reactive species approach (Ying and Krishnan, 2010). As an example, the freshly emitted formaldehyde in the mechanisms is tracked using species HCHO, while the secondary formaldehyde...

  17. A multi-scale model for piston ring dynamics, lubrication and oil transport in internal combustion engines

    E-Print Network [OSTI]

    Baelden, Camille

    2014-01-01T23:59:59.000Z

    Fuel consumption reduction of more than 20% can be achieved through engine friction reduction. Piston and piston rings contribute approximately half of the total engine friction and are therefore central to friction reduction ...

  18. Research Statement Di Liu My research effort has been focused on Multi-scale and Stochastic Modeling, Anal-

    E-Print Network [OSTI]

    Liu, Di "Richard"

    with applications in solar energy harvesting, molecular sensing and non-invasive regulation of intra of the matter reaches nano scale, the energy level for the electron excita- tion becomes comparable to the wave photon energy to mechanical energy. The efficiency of the conversion can be significantly enhanced

  19. Multi-Scale Modelling Symposium A CSIRO cutting edge symposium 7-8 December 2009, Melbourne, Australia

    E-Print Network [OSTI]

    Raman, Venkat

    applications in drug delivery, catalysis, energy and semiconductors. Titanium dioxide (TiO2) nano University, Ames, IA 50011, USA ABSTRACT Titanium dioxide nano-particles are manufactured in flame reactors large-eddy simulation (LES) based computational tool for flame-based titanium dioxide synthesis

  20. Multi-scale and Integrated Characterization of the Marcellus Shale in the Appalachian Basin: From Microscopes to Mapping

    SciTech Connect (OSTI)

    Crandall, Dustin; Soeder, Daniel J; McDannell, Kalin T.; Mroz, Thomas

    2010-01-01T23:59:59.000Z

    Historic data from the Department of Energy Eastern Gas Shale Project (ESGP) were compiled to develop a database of geochemical analyses, well logs, lithological and natural fracture descriptions from oriented core, and reservoir parameters. The nine EGSP wells were located throughout the Appalachian Basin and intercepted the Marcellus Shale from depths of 750 meters (2500 ft) to 2500 meters (8200 ft). A primary goal of this research is to use these existing data to help construct a geologic framework model of the Marcellus Shale across the basin and link rock properties to gas productivity. In addition to the historic data, x-ray computerized tomography (CT) of entire cores with a voxel resolution of 240mm and optical microscopy to quantify mineral and organic volumes was performed. Porosity and permeability measurements in a high resolution, steady-state flow apparatus are also planned. Earth Vision software was utilized to display and perform volumetric calculations on individual wells, small areas with several horizontal wells, and on a regional basis. The results indicate that the lithologic character of the Marcellus Shale changes across the basin. Gas productivity appears to be influenced by the properties of the organic material and the mineral composition of the rock, local and regional structural features, the current state of in-situ stress, and lithologic controls on the geometry of induced fractures during stimulations. The recoverable gas volume from the Marcellus Shale is variable over the vertical stratigraphic section, as well as laterally across the basin. The results from this study are expected to help improve the assessment of the resource, and help optimize the recovery of natural gas.

  1. Calibration of a distributed flood forecasting model with input uncertainty using a Bayesian framework

    E-Print Network [OSTI]

    Li, M.

    2013-01-01T23:59:59.000Z

    error model for calibration and uncertainty estimation ofand T. Wagener (2005), Model calibration and uncertaintyand A. Mailhot (2008), Calibration of hydrological model

  2. Sensitivity of Surface Flux Simulations to Hydrologic Parameters Based on an Uncertainty Quantification Framework Applied to the Community Land Model

    SciTech Connect (OSTI)

    Hou, Zhangshuan; Huang, Maoyi; Leung, Lai-Yung R.; Lin, Guang; Ricciuto, Daniel M.

    2012-08-10T23:59:59.000Z

    Uncertainties in hydrologic parameters could have significant impacts on the simulated water and energy fluxes and land surface states, which will in turn affect atmospheric processes and the carbon cycle. Quantifying such uncertainties is an important step toward better understanding and quantification of uncertainty of integrated earth system models. In this paper, we introduce an uncertainty quantification (UQ) framework to analyze sensitivity of simulated surface fluxes to selected hydrologic parameters in the Community Land Model (CLM4) through forward modeling. Thirteen flux tower footprints spanning a wide range of climate and site conditions were selected to perform sensitivity analyses by perturbing the parameters identified. In the UQ framework, prior information about the parameters was used to quantify the input uncertainty using the Minimum-Relative-Entropy approach. The quasi-Monte Carlo approach was applied to generate samples of parameters on the basis of the prior pdfs. Simulations corresponding to sampled parameter sets were used to generate response curves and response surfaces and statistical tests were used to rank the significance of the parameters for output responses including latent (LH) and sensible heat (SH) fluxes. Overall, the CLM4 simulated LH and SH show the largest sensitivity to subsurface runoff generation parameters. However, study sites with deep root vegetation are also affected by surface runoff parameters, while sites with shallow root zones are also sensitive to the vadose zone soil water parameters. Generally, sites with finer soil texture and shallower rooting systems tend to have larger sensitivity of outputs to the parameters. Our results suggest the necessity of and possible ways for parameter inversion/calibration using available measurements of latent/sensible heat fluxes to obtain the optimal parameter set for CLM4. This study also provided guidance on reduction of parameter set dimensionality and parameter calibration framework design for CLM4 and other land surface models under different hydrologic and climatic regimes.

  3. Uncertainties propagation in the framework of a Rod Ejection Accident modeling based on a multi-physics approach

    SciTech Connect (OSTI)

    Le Pallec, J. C.; Crouzet, N.; Bergeaud, V.; Delavaud, C. [CEA/DEN/DM2S, CEA/Saclay, 91191 Gif sur Yvette Cedex (France)

    2012-07-01T23:59:59.000Z

    The control of uncertainties in the field of reactor physics and their propagation in best-estimate modeling are a major issue in safety analysis. In this framework, the CEA develops a methodology to perform multi-physics simulations including uncertainties analysis. The present paper aims to present and apply this methodology for the analysis of an accidental situation such as REA (Rod Ejection Accident). This accident is characterized by a strong interaction between the different areas of the reactor physics (neutronic, fuel thermal and thermal hydraulic). The modeling is performed with CRONOS2 code. The uncertainties analysis has been conducted with the URANIE platform developed by the CEA: For each identified response from the modeling (output) and considering a set of key parameters with their uncertainties (input), a surrogate model in the form of a neural network has been produced. The set of neural networks is then used to carry out a sensitivity analysis which consists on a global variance analysis with the determination of the Sobol indices for all responses. The sensitivity indices are obtained for the input parameters by an approach based on the use of polynomial chaos. The present exercise helped to develop a methodological flow scheme, to consolidate the use of URANIE tool in the framework of parallel calculations. Finally, the use of polynomial chaos allowed computing high order sensitivity indices and thus highlighting and classifying the influence of identified uncertainties on each response of the analysis (single and interaction effects). (authors)

  4. Deriving a Framework for Estimating Individual Tree Measurements with Lidar for Use in the TAMBEETLE Southern Pine Beetle Infestation Growth Model

    E-Print Network [OSTI]

    Stukey, Jared D.

    2011-02-22T23:59:59.000Z

    The overall goal of this study was to develop a framework for using airborne lidar to derive inputs for the SPB infestation growth model TAMBEETLE. The specific objectives were (1) to estimate individual tree characteristics of XY location...

  5. A Modeling and Filtering Framework for Linear Differential-Algebraic Equations

    E-Print Network [OSTI]

    Schön, Thomas

    , Dymola, the SimMechanics toolbox for MATLAB, and Modelica [14], [20]. Such modeling software makes

  6. SU-E-I-100: Heterogeneity Studying for Primary and Lymphoma Tumors by Using Multi-Scale Image Texture Analysis with PET-CT Images

    SciTech Connect (OSTI)

    Li, Dengwang [Shandong Normal University, Jinan, Shandong Province (China); Wang, Qinfen [Shandong Normal University, Jinan, Shandong (China); Li, H; Chen, J [Shandong Cancer Hospital and Institute, Jinan, Shandong (China)

    2014-06-01T23:59:59.000Z

    Purpose: The purpose of this research is studying tumor heterogeneity of the primary and lymphoma by using multi-scale texture analysis with PET-CT images, where the tumor heterogeneity is expressed by texture features. Methods: Datasets were collected from 12 lung cancer patients, and both of primary and lymphoma tumors were detected with all these patients. All patients underwent whole-body 18F-FDG PET/CT scan before treatment.The regions of interest (ROI) of primary and lymphoma tumor were contoured by experienced clinical doctors. Then the ROI of primary and lymphoma tumor is extracted automatically by using Matlab software. According to the geometry size of contour structure, the images of tumor are decomposed by multi-scale method.Wavelet transform was performed on ROI structures within images by L layers sampling, and then wavelet sub-bands which have the same size of the original image are obtained. The number of sub-bands is 3L+1.The gray level co-occurrence matrix (GLCM) is calculated within different sub-bands, thenenergy, inertia, correlation and gray in-homogeneity were extracted from GLCM.Finally, heterogeneity statistical analysis was studied for primary and lymphoma tumor using the texture features. Results: Energy, inertia, correlation and gray in-homogeneity are calculated with our experiments for heterogeneity statistical analysis.Energy for primary and lymphomatumor is equal with the same patient, while gray in-homogeneity and inertia of primaryare 2.59595±0.00855, 0.6439±0.0007 respectively. Gray in-homogeneity and inertia of lymphoma are 2.60115±0.00635, 0.64435±0.00055 respectively. The experiments showed that the volume of lymphoma is smaller than primary tumor, but thegray in-homogeneity and inertia were higher than primary tumor with the same patient, and the correlation with lymphoma tumors is zero, while the correlation with primary tumor isslightly strong. Conclusion: This studying showed that there were effective heterogeneity differences between primary and lymphoma tumor by multi-scale image texture analysis. This work is supported by National Natural Science Foundation of China (No. 61201441), Research Fund for Excellent Young and Middle-aged Scientists of Shandong Province (No. BS2012DX038), Project of Shandong Province Higher Educational Science and Technology Program (No. J12LN23), Jinan youth science and technology star (No.20120109)

  7. A Physically Based Framework for Modelling the Organic Fractionation of Sea Spray Aerosol from Bubble Film Langmuir Equilibria

    SciTech Connect (OSTI)

    Burrows, Susannah M.; Ogunro, O.; Frossard, Amanda; Russell, Lynn M.; Rasch, Philip J.; Elliott, S.

    2014-12-19T23:59:59.000Z

    The presence of a large fraction of organic matter in primary sea spray aerosol (SSA) can strongly affect its cloud condensation nuclei activity and interactions with marine clouds. Global climate models require new parameterizations of the SSA composition in order to improve the representation of these processes. Existing proposals for such a parameterization use remotely-sensed chlorophyll-a concentrations as a proxy for the biogenic contribution to the aerosol. However, both observations and theoretical considerations suggest that existing relationships with chlorophyll-a, derived from observations at only a few locations, may not be representative for all ocean regions. We introduce a novel framework for parameterizing the fractionation of marine organic matter into SSA based on a competitive Langmuir adsorption equilibrium at bubble surfaces. Marine organic matter is partitioned into classes with differing molecular weights, surface excesses, and Langmuir adsorption parameters. The classes include a lipid-like mixture associated with labile dissolved organic carbon (DOC), a polysaccharide-like mixture associated primarily with semi-labile DOC, a protein-like mixture with concentrations intermediate between lipids and polysaccharides, a processed mixture associated with recalcitrant surface DOC, and a deep abyssal humic-like mixture. Box model calculations have been performed for several cases of organic adsorption to illustrate the underlying concepts. We then apply the framework to output from a global marine biogeochemistry model, by partitioning total dissolved organic carbon into several classes of macromolecule. Each class is represented by model compounds with physical and chemical properties based on existing laboratory data. This allows us to globally map the predicted organic mass fraction of the nascent submicron sea spray aerosol. Predicted relationships between chlorophyll-\\textit{a} and organic fraction are similar to existing empirical parameterizations, but can vary between biologically productive and non-productive regions, and seasonally within a given region. Major uncertainties include the bubble film thickness at bursting and the variability of organic surfactant activity in the ocean, which is poorly constrained. In addition, marine colloids and cooperative adsorption of polysaccharides may make important contributions to the aerosol, but are not included here. This organic fractionation framework is an initial step towards a closer linking of ocean biogeochemistry and aerosol chemical composition in Earth system models. Future work should focus on improving constraints on model parameters through new laboratory experiments or through empirical fitting to observed relationships in the real ocean and atmosphere, as well as on atmospheric implications of the variable composition of organic matter in sea spray.

  8. Rfuzzy framework

    E-Print Network [OSTI]

    Ceruelo, Victor Pablos; Strass, Hannes

    2009-01-01T23:59:59.000Z

    Fuzzy reasoning is a very productive research field that during the last years has provided a number of theoretical approaches and practical implementation prototypes. Nevertheless, the classical implementations, like Fril, are not adapted to the latest formal approaches, like multi-adjoint logic semantics. Some promising implementations, like Fuzzy Prolog, are so general that the regular user/programmer does not feel comfortable because either representation of fuzzy concepts is complex or the results difficult to interpret. In this paper we present a modern framework, Rfuzzy, that is modelling multi-adjoint logic. It provides some extensions as default values (to represent missing information, even partial default values) and typed variables. Rfuzzy represents the truth value of predicates through facts, rules and functions. Rfuzzy answers queries with direct results (instead of constraints) and it is easy to use for any person that wants to represent a problem using fuzzy reasoning in a simple way (by usin...

  9. Assessing the Effects of Anthropogenic Aerosols on Pacific Storm Track Using a Multiscale Global Climate Model

    SciTech Connect (OSTI)

    Wang, Yuan; Wang, Minghuai; Zhang, Renyi; Ghan, Steven J.; Lin, Yun; Hu, Jiaxi; Pan, Bowen; Levy, Misti; Jiang, Jonathan; Molina, Mario J.

    2014-05-13T23:59:59.000Z

    Atmospheric aerosols impact weather and global general circulation by modifying cloud and precipitation processes, but the magnitude of cloud adjustment by aerosols remains poorly quantified and represents the largest uncertainty in estimated forcing of climate change. Here we assess the impacts of anthropogenic aerosols on the Pacific storm track using a multi-scale global aerosol-climate model (GCM). Simulations of two aerosol scenarios corresponding to the present day and pre-industrial conditions reveal long-range transport of anthropogenic aerosols across the north Pacific and large resulting changes in the aerosol optical depth, cloud droplet number concentration, and cloud and ice water paths. Shortwave and longwave cloud radiative forcing at the top of atmosphere are changed by - 2.5 and + 1.3 W m-2, respectively, by emission changes from pre-industrial to present day, and an increased cloud-top height indicates invigorated mid-latitude cyclones. The overall increased precipitation and poleward heat transport reflect intensification of the Pacific storm track by anthropogenic aerosols. Hence, this work provides for the first time a global perspective of the impacts of Asian pollution outflows from GCMs. Furthermore, our results suggest that the multi-scale modeling framework is essential in producing the aerosol invigoration effect of deep convective clouds on the global scale.

  10. Calibration of a Distributed Flood Forecasting Model with Input Uncertainty Using a Bayesian Framework

    E-Print Network [OSTI]

    Hubbard, Susan

    Calibration of a Distributed Flood Forecasting Model with Input Uncertainty Using a Bayesian, Berkeley, CA, United States. In the process of calibrating distributed hydrological models, accounting in calibrating GBHM parameters and in estimating their associated uncertainty. The calibration ignoring input

  11. A quantitative framework For large-scale model estimation and discrimination In systems biology

    E-Print Network [OSTI]

    Eydgahi, Hoda

    2013-01-01T23:59:59.000Z

    Using models to simulate and analyze biological networks requires principled approaches to parameter estimation and model discrimination. We use Bayesian and Monte Carlo methods to recover the full probability distributions ...

  12. Developing an Integrated Model Framework for the Assessment of Sustainable Agricultural Residue Removal Limits for Bioenergy Systems

    SciTech Connect (OSTI)

    David Muth, Jr.; Jared Abodeely; Richard Nelson; Douglas McCorkle; Joshua Koch; Kenneth Bryden

    2011-08-01T23:59:59.000Z

    Agricultural residues have significant potential as a feedstock for bioenergy production, but removing these residues can have negative impacts on soil health. Models and datasets that can support decisions about sustainable agricultural residue removal are available; however, no tools currently exist capable of simultaneously addressing all environmental factors that can limit availability of residue. The VE-Suite model integration framework has been used to couple a set of environmental process models to support agricultural residue removal decisions. The RUSLE2, WEPS, and Soil Conditioning Index models have been integrated. A disparate set of databases providing the soils, climate, and management practice data required to run these models have also been integrated. The integrated system has been demonstrated for two example cases. First, an assessment using high spatial fidelity crop yield data has been run for a single farm. This analysis shows the significant variance in sustainably accessible residue across a single farm and crop year. A second example is an aggregate assessment of agricultural residues available in the state of Iowa. This implementation of the integrated systems model demonstrates the capability to run a vast range of scenarios required to represent a large geographic region.

  13. Analysis of the ventilation systems in the Dartford tunnels using a multiscale modelling approach 

    E-Print Network [OSTI]

    Colella, Francesco; Rein, Guillermo; Carvel, Ricky O; Reszka, Pedro; Torero, Jose L

    2010-01-01T23:59:59.000Z

    The capabilities of the ventilation systems in the two road tunnels at Dartford (London, UK) are analysed using a multi-scale modelling approach. Both tunnels have complex semi-transverse ventilation systems with jet fans to control longitudinal...

  14. The bootstrap multiscale analysis for the multi-particle Anderson model

    E-Print Network [OSTI]

    Abel Klein; Son T. Nguyen

    2012-12-22T23:59:59.000Z

    We extend the bootstrap multi-scale analysis developed by Germinet and Klein to the multi-particle Anderson model, obtaining Anderson localization, dynamical localization, and decay of eigenfunction correlations.

  15. Substrate and environmental controls on microbial assimilation of soil organic carbon: a framework for Earth System Models

    SciTech Connect (OSTI)

    Xu, Xiaofeng [ORNL] [ORNL; Schimel, Joshua [University of California, Santa Barbara] [University of California, Santa Barbara; Thornton, Peter E [ORNL] [ORNL; Song, Xia [ORNL] [ORNL; Yuan, Fengming [ORNL] [ORNL; Goswami, Santonu [ORNL] [ORNL

    2014-01-01T23:59:59.000Z

    Microbial assimilation of soil organic carbon is one of the fundamental processes of global carbon cycling and it determines the magnitude of microbial biomass in soils. Mechanistic understanding of microbial assimilation of soil organic carbon and its controls is important for to improve Earth system models ability to simulate carbon-climate feedbacks. Although microbial assimilation of soil organic carbon is broadly considered to be an important parameter, it really comprises two separate physiological processes: one-time assimilation efficiency and time-dependent microbial maintenance energy. Representing of these two mechanisms is crucial to more accurately simulate carbon cycling in soils. In this study, a simple modeling framework was developed to evaluate the substrate and environmental controls on microbial assimilation of soil organic carbon using a new term: microbial annual active period (the length of microbes remaining active in one year). Substrate quality has a positive effect on microbial assimilation of soil organic carbon: higher substrate quality (lower C:N ratio) leads to higher ratio of microbial carbon to soil organic carbon and vice versa. Increases in microbial annual active period from zero stimulate microbial assimilation of soil organic carbon; however, when microbial annual active period is longer than an optimal threshold, increasing this period decreases microbial biomass. The simulated ratios of soil microbial biomass to soil organic carbon are reasonably consistent with a recently compiled global dataset at the biome-level. The modeling framework of microbial assimilation of soil organic carbon and its controls developed in this study offers an applicable ways to incorporate microbial contributions to the carbon cycling into Earth system models for simulating carbon-climate feedbacks and to explain global patterns of microbial biomass.

  16. Understanding the Multi-Scale and Multi-fractal Dynamics of Space Plasmas Through Tsallis Non-Extensive Statistical Theory

    E-Print Network [OSTI]

    G. P. Pavlos

    2012-03-18T23:59:59.000Z

    In this study it is shown that the Tsallis q-extended statistical theory was found efficient to describe faithfully the space plasmas statistics in every case, from the planetic magnetospheres, to solar corona and solar dynamics, as well as cosmic rays and cosmic stars. Moreover, new theoretical concepts and experimental results are presented concerning the space plasma complex dynamics. The significant message of theoretical and experimental issues presented here is the necessity of generalized statistical and dynamical theory for understanding the non-equilibrium dynamics and the complex character of space plasmas. The q-extension of statistics coupled to the fractal extension of dynamics are the novel and appropriate theoretical framework for the description of space plasma complexity.

  17. Development of a Modelling and Simulation Method Comparison and Selection Framework for Health Services Management

    E-Print Network [OSTI]

    Jun, Gyuchan T; Morris, Zoe; Eldabi, Tillal; Harper, Paul; Naseer, Aisha; Patel, Brijesh; Clarkson, John P

    2011-05-19T23:59:59.000Z

    Simulation, Mathematical Programming/Optimisation Methods, Markov Models, Queuing Theory, Structural Equation Modelling, System Dynamics, Process Mapping, Spatial Mapping, Monte Carlo Simulation, Cognitive Mapping, Soft Systems Methodology 2. Simulation... analysis Table 2 Twenty eight methods identified for the selection tool Categories No. Methods Problem Structuring Methods 1 Drama Theory & Confrontation Analysis 2 Robustness Analysis 3 Soft Systems Methodology 4 Strategic Choice Approach 5 Strategic...

  18. Comparison of land use change models with focus on spatial and temporal frameworks and data issues

    E-Print Network [OSTI]

    Clarke, Keith

    remote sensing data Adaptation of the land cover classification scheme for County or a small city.g. MEPLAN, Smart Places, INDEX, DRAM/EPAL § CUF 1,2, LUCAS, What If?, UPLAN, LTM, UrbanSim, Clarke Model § Other interesting models UGrow, Smart Growth Index - Research sources: § USFS Report: Data and Data

  19. A Framework for Modelling Residential Prosumption Devices and Electricity Tariffs for

    E-Print Network [OSTI]

    to the cost of electricity production, and to give incentives to consumers to improve their load profile Systems, Resi- dential electricity pricing models, residential load models, power scheduling, Linear], which include direct load control, interruptible/curtailable programs, demand bidding, emergency demand

  20. The Partnership Evaluation Framework

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy Better Buildings Neighborhood Program: The Partnership Evaluation Framework: How to evaluate a potential partner’s business model and identify areas for collaboration.

  1. A framework for comparing geomechanical models of InSAR-measured surface deformation

    E-Print Network [OSTI]

    De Laplante, Neil Edward James

    2011-01-01T23:59:59.000Z

    High-quality Interferometric Synthetic Aperture Radar (InSAR) surface deformation data for field sites around the world has become widely available over the past decade. Geomechanical models based on InSAR data occur ...

  2. Smart finite state devices: A modeling framework for demand response technologies

    E-Print Network [OSTI]

    Turitsyn, Konstantin

    We introduce and analyze Markov Decision Process (MDP) machines to model individual devices which are expected to participate in future demand-response markets on distribution grids. We differentiate devices into the ...

  3. Distinguished rheological models in the framework of a thermodynamical internal variable theory

    E-Print Network [OSTI]

    Asszonyi, Cs; Ván, P

    2014-01-01T23:59:59.000Z

    We present and analyze a thermodynamical theory of rheology with single internal variable. The universality of the model is ensured as long as the mesoscopic and/or microscopic background processes satisfy the applied thermodynamical principles, which are the second law, the basic balances and the existence of an additional-tensorial-state variable. The resulting model, which we suggest to call the Kluitenberg-Verh\\'as body, is the Poynting-Thomson-Zener body with an additional inertial element, or, in other words, is the extension of Jeffreys model to solids. We argue that this Kluitenberg-Verh\\'as body is the natural thermodynamical building block of rheology. An important feature of the presented methodology is that nontrivial inequality-type restrictions arise for the four parameters of the model. We compare these conditions and other aspects to those of other known thermodynamical approaches, like Extended Irreversible Thermodynamics or the original theory of Kluitenberg.

  4. Modeling Frameworks for Representing the Mechanical Behavior of Tissues with a Specific Look at Vasculature

    E-Print Network [OSTI]

    Andersohn, Alexander

    2013-08-27T23:59:59.000Z

    Many mechanicstic models aimed at predicting tissue behavior attempt to connect constitutive factors (such as effects due to collagen or fibrin concentrations) with the overall tissue behavior. Such a link between constitutive and material behaviors...

  5. A framework for the language and logic of computer-aided phenomena-based process modeling

    E-Print Network [OSTI]

    Bieszczad, Jerry, 1971-

    2000-01-01T23:59:59.000Z

    Chemical process engineering activities such as design, optimization, analysis, control, scheduling, diagnosis, and training all rely on mathematical models for solution of some engineering problem. Likewise, most of the ...

  6. A PHYSICS-BASED SOFTWARE FRAMEWORK FOR SUN-EARTH CONNECTION MODELING

    E-Print Network [OSTI]

    Stout, Quentin F.

    . The SWMF is a structured collection of software building blocks to develop components for Sun-Earth system modeling, to couple them, and to assemble them into applications. A component is created from the user

  7. Mechanistic modeling of the interrelationships between indoor/outdoor air quality and human exposure in a GIS framework

    SciTech Connect (OSTI)

    Isukapalli, S.S.; Purushothaman, V.; Georgopoulos, P.G.

    1999-07-01T23:59:59.000Z

    Evaluation of human exposure to atmospheric contaminants such as ozone and particulate matter (PM) is often based on measured data from fixed ambient (outdoors) Air Monitoring Stations. This results in an artificial characterization of indoor exposures, as concentrations and physicochemical attributes of indoor pollutants vary significantly and are different from corresponding outdoor values. A mechanistically-based modeling approach is presented here that aims to improve estimates for the outdoor/indoor relationships of photochemical pollutants and of associated fine particles and, subsequently, of human exposure assessments. New approaches for refining the spatial, temporal, and indoor/outdoor patterns of gas phase photochemical contaminants and PM are currently being developed and tested. These approaches are combined with information from either ambient monitoring networks or from ambient air quality models that consider aerosol physics and chemistry coupled with gas phase photochemistry (e.g. UAM-AERO). This process utilizes Geographic Information Systems (GIS) and Relational Database (RD) methods, to facilitate detailed exposure scenario construction (involving e.g. the geographic location of an individual considered in time) and to aid in the estimation of population exposure over selected geographic areas. The combination of monitor data or air quality modeling with microenvironmental modeling in a GIS framework can potentially provide a useful platform for more accurate assessments of human exposure to co-occurring gas and particulate phase air pollutants.

  8. M. Toubin, C. Dumont, E. P. Verrechia, O. Lalligant, A. Diou, F. Truchetet, and M. A. Abidi, "A Multi-scale Analysis of shell growth increments using wavelet transform," Computers & Geosciences, Journal of the International Association for Mathematical Ge

    E-Print Network [OSTI]

    Abidi, Mongi A.

    been tried (Dolman, 1975) using a Fourier transform. This method, based on power spectra analysis Multi-scale Analysis of shell growth increments using wavelet transform," Computers & Geosciences of environments). The search for these two types of information inside accretionary shells of living or fossil

  9. FRAMEWORK AND APPLICATION FOR MODELING CONTROL ROOM CREW PERFORMANCE AT NUCLEAR POWER PLANTS

    SciTech Connect (OSTI)

    Ronald L Boring; David I Gertman; Tuan Q Tran; Brian F Gore

    2008-09-01T23:59:59.000Z

    This paper summarizes an emerging project regarding the utilization of high-fidelity MIDAS simulations for visualizing and modeling control room crew performance at nuclear power plants. The key envisioned uses for MIDAS-based control room simulations are: (i) the estimation of human error associated with advanced control room equipment and configurations, (ii) the investigative determination of contributory cognitive factors for risk significant scenarios involving control room operating crews, and (iii) the certification of reduced staffing levels in advanced control rooms. It is proposed that MIDAS serves as a key component for the effective modeling of cognition, elements of situation awareness, and risk associated with human performance in next generation control rooms.

  10. Generalized Disjunctive Programming as a Systematic Modeling Framework to Derive Scheduling

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    variables and constraints, but it may compromise computational performance. On the other hand, the convex hull reformulation is tighter, which generally helps to speed up the search procedure. GDP formulations. The best performer is, however, a multiple time grid model which can be derived from the convex hull

  11. Calibration of a distributed flood forecasting model with input uncertainty using a Bayesian framework

    E-Print Network [OSTI]

    Hubbard, Susan

    Calibration of a distributed flood forecasting model with input uncertainty using a Bayesian; revised 20 June 2012; accepted 28 June 2012; published 15 August 2012. [1] In the process of calibrating that the developed method generally is effective in calibrating GBHM parameters and in estimating their associated

  12. An Interaction Model and a Framework Dedicated to Web-based Geographic Applications

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Allée du Parc Montaury, 64600 Anglet, France {thenhan.luong, patrick.etcheverry, christophe, Languages. Keywords Interaction model, code generation, geographic application design, visual authoring environment supporting the whole design approach, since the specification steps un- til code generation

  13. Memory-Based Approximation of the Gaussian Mixture Model Framework for Bandwidth Extension of Narrowband Speech

    E-Print Network [OSTI]

    Kabal, Peter

    Extension (BWE) of narrowband speech using Gaussian Mixture Models (GMMs). By quantifying temporal Extension (BWE) at- tempts to regenerate the highband (3.4­8 kHz) frequency con- tent lost during- isting networks BWE is based on the assumption that narrowband speech correlates with the highband signal

  14. A Framework for Dynamic Safety and Risk Management Modeling in Complex Engineering Systems

    E-Print Network [OSTI]

    Leveson, Nancy

    analysis (FTA), and probabilistic risk analysis (PRA) rely on a chain-of-event paradigm of accident analysis or risk assessment techniques, such as failure modes and effect analysis (FMEA), fault tree and organizational boundaries. STAMP (System-Theoretic Accident Model and Processes) is a comprehensive accident

  15. Smart Finite State Devices: A Modeling Framework for Demand Response Technologies

    E-Print Network [OSTI]

    Turitsyn, Konstantin; Ananyev, Maxim; Chertkov, Michael

    2011-01-01T23:59:59.000Z

    We introduce and analyze Markov Decision Process (MDP) machines to model individual devices which are expected to participate in future demand-response markets on distribution grids. We differentiate devices into the following four types: (a) optional loads that can be shed, e.g. light dimming; (b) deferrable loads that can be delayed, e.g. dishwashers; (c) controllable loads with inertia, e.g. thermostatically-controlled loads, whose task is to maintain an auxiliary characteristic (temperature) within pre-defined margins; and (d) storage devices that can alternate between charging and generating. Our analysis of the devices seeks to find their optimal price-taking control strategy under a given stochastic model of the distribution market.

  16. Dynamic Agent Based Modeling Using Bayesian Framework for Addressing Intelligence Adaptive Nuclear Nonproliferation Analysis 

    E-Print Network [OSTI]

    Elmore, Royal A

    2014-10-03T23:59:59.000Z

    International Safeguards Fellowship for financial support. Finally, thanks to my mother and father for their encouragement and to my wife for her patience and love. vi NOMENCLATURE ABM Agent Based Modeling API Application Programmer Interface BANE...-8. Uranium enrichment precursors and post material management ................ 62 Figure 3-9. A pre-BANE specific to general reprocessing section with evidence......... 63 Figure 3-10. Plutonium reprocessing options...

  17. Merging spatially variant physical process models under an optimized systems dynamics framework.

    SciTech Connect (OSTI)

    Cain, William O. (University of Texas at Austin, Austin, TX); Lowry, Thomas Stephen; Pierce, Suzanne A.; Tidwell, Vincent Carroll

    2007-10-01T23:59:59.000Z

    The complexity of water resource issues, its interconnectedness to other systems, and the involvement of competing stakeholders often overwhelm decision-makers and inhibit the creation of clear management strategies. While a range of modeling tools and procedures exist to address these problems, they tend to be case specific and generally emphasize either a quantitative and overly analytic approach or present a qualitative dialogue-based approach lacking the ability to fully explore consequences of different policy decisions. The integration of these two approaches is needed to drive toward final decisions and engender effective outcomes. Given these limitations, the Computer Assisted Dispute Resolution system (CADRe) was developed to aid in stakeholder inclusive resource planning. This modeling and negotiation system uniquely addresses resource concerns by developing a spatially varying system dynamics model as well as innovative global optimization search techniques to maximize outcomes from participatory dialogues. Ultimately, the core system architecture of CADRe also serves as the cornerstone upon which key scientific innovation and challenges can be addressed.

  18. Progress in coupling Land Ice and Ocean Models in the MPAS Framework |

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronicCurvesSpeedingScientificof Scientific andPredictive Models ofl*SciTech

  19. International Symposium on the Conservation of Monuments in the Mediterranean Basin MULTI-SCALE CHARACTERISATION OF MONUMENT LIMESTONES

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    and to model deterioration process. In this paper, two sedimentary limestones are chosen. The first one, called, it is necessary to note the great diversity of the tuffeau family (important variability of minerals proportion and porosity [1]). So, studied tuffeau is tuffeau of Saumur, extracted from an underground quarry

  20. Embedding the Bilson-Thompson model in an LQG-like framework

    E-Print Network [OSTI]

    Deepak Vaid

    2010-02-08T23:59:59.000Z

    We argue that the Quadratic Spinor Lagrangian approach allows us to approach the problem of forming a geometrical condensate of spinorial tetrads in a natural manner. This, along with considerations involving the discrete symmetries of lattice triangulations, lead us to discover that the quasiparticles of such a condensate are tetrahedra with braids attached to its faces and that these braid attachments correspond to the preons in Bilson-Thompson's model of elementary particles. These "spatoms" can then be put together in a tiling to form more complex structures which encode both geometry and matter in a natural manner. We conclude with some speculations on the relation between this picture and the computational universe hypothesis.

  1. The Umbra Simulation Framework

    SciTech Connect (OSTI)

    GOTTLIEB,ERIC; HARRIGAN,RAYMOND W.; MCDONALD,MICHAEL J.; OPPEL III,FRED J.; XAVIER,PATRICK G.

    2001-06-01T23:59:59.000Z

    Umbra is a new Sandia-developed modeling and simulation framework. The Umbra framework allows users to quickly build models and simulations for intelligent system development, analysis, experimentation, and control and supports tradeoff analyses of complex robotic systems, device, and component concepts. Umbra links together heterogeneous collections of modeling tools. The models in Umbra include 3D geometry and physics models of robots, devices and their environments. Model components can be built with varying levels of fidelity and readily switched to allow models built with low fidelity for conceptual analysis to be gradually converted to high fidelity models for later phase detailed analysis. Within control environments, the models can be readily replaced with actual control elements. This paper describes Umbra at a functional level and describes issues that Sandia uses Umbra to address.

  2. Computer Aided Multi-scale Design of SiC-Si3N4 Nanoceramic Composites for High-Temperature Structural Applications

    SciTech Connect (OSTI)

    Vikas Tomer; John Renaud

    2010-08-31T23:59:59.000Z

    It is estimated that by using better and improved high temperature structural materials, the power generation efficiency of the power plants can be increased by 15% resulting in significant cost savings. One such promising material system for future high-temperature structural applications in power plants is Silicon Carbide-Silicon Nitride (SiC-Si{sub 3}N{sub 4}) nanoceramic matrix composites. The described research work focuses on multiscale simulation-based design of these SiC-Si{sub 3}N{sub 4} nanoceramic matrix composites. There were two primary objectives of the research: (1) Development of a multiscale simulation tool and corresponding multiscale analyses of the high-temperature creep and fracture resistance properties of the SiC-Si{sub 3}N{sub 4} nanocomposites at nano-, meso- and continuum length- and timescales; and (2) Development of a simulation-based robust design optimization methodology for application to the multiscale simulations to predict the range of the most suitable phase morphologies for the desired high-temperature properties of the SiC-Si{sub 3}N{sub 4} nanocomposites. The multiscale simulation tool is based on a combination of molecular dynamics (MD), cohesive finite element method (CFEM), and continuum level modeling for characterizing time-dependent material deformation behavior. The material simulation tool is incorporated in a variable fidelity model management based design optimization framework. Material modeling includes development of an experimental verification framework. Using material models based on multiscaling, it was found using molecular simulations that clustering of the SiC particles near Si{sub 3}N{sub 4} grain boundaries leads to significant nanocomposite strengthening and significant rise in fracture resistance. It was found that a control of grain boundary thicknesses by dispersing non-stoichiometric carbide or nitride phases can lead to reduction in strength however significant rise in fracture strength. The temperature dependent strength and microstructural stability was also significantly depended upon the dispersion of new phases at grain boundaries. The material design framework incorporates high temperature creep and mechanical strength data in order to develop a collaborative multiscale framework of morphology optimization. The work also incorporates a computer aided material design dataset development procedure where a systematic dataset on material properties and morphology correlation could be obtained depending upon a material processing scientist's requirements. Two different aspects covered under this requirement are: (1) performing morphology related analyses at the nanoscale and at the microscale to develop a multiscale material design and analyses capability; (2) linking material behavior analyses with the developed design tool to form a set of material design problems that illustrate the range of material design dataset development that could be performed. Overall, a software based methodology to design microstructure of particle based ceramic nanocomposites has been developed. This methodology has been shown to predict changes in phase morphologies required for achieving optimal balance of conflicting properties such as minimal creep strain rate and high fracture strength at high temperatures. The methodology incorporates complex material models including atomistic approaches. The methodology will be useful to design materials for high temperature applications including those of interest to DoE while significantly reducing cost of expensive experiments.

  3. Panetto H., Bana, S., Morel G. (2007). Mapping the IEC 62264 models onto the Zachman framework for analysing products information traceability: a case study. Journal of Intelligent Manufacturing, Springer Verlag,

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    2007-01-01T23:59:59.000Z

    Panetto H., Baïna, S., Morel G. (2007). Mapping the IEC 62264 models onto the Zachman framework Verlag, ISSN 0956-5515, à paraître -1- MAPPING THE IEC 62264 MODELS ONTO THE ZACHMAN FRAMEWORK is recorded. The IEC 62264 standards define generic logical models for exchanging product and process

  4. Multi-Scale Conservation in an Altered Landscape: The Case of the Endangered Arroyo Toad in Southern California

    E-Print Network [OSTI]

    Treglia, Michael Louis

    2014-07-18T23:59:59.000Z

    and Maxie Richmond, Adam Siade, Colleen Wisinski, and Dustin Wood also became good friends during my time in California. My doctoral work would not have been possible without extensive financial support. I owe great thanks to the Applied Biodiversity.../pseudoabsence data (e.g., Hernandez et al. 2008, Senay et al. 2013). Pseudoabsences are used when true absence data are unavailable, and they are acquired by sampling locations from the study region that lack locality records (Peterson et al. 2011). In my models I...

  5. Integrated, Multi-Scale Characterization of Imbibition and Wettability Phenomena Using Magnetic Resonance and Wide-Band Dielectric Measurements

    SciTech Connect (OSTI)

    Mukul M. Sharma; Steven L. Bryant; Carlos Torres-Verdin; George Hirasaki

    2007-09-30T23:59:59.000Z

    The petrophysical properties of rocks, particularly their relative permeability and wettability, strongly influence the efficiency and the time-scale of all hydrocarbon recovery processes. However, the quantitative relationships needed to account for the influence of wettability and pore structure on multi-phase flow are not yet available, largely due to the complexity of the phenomena controlling wettability and the difficulty of characterizing rock properties at the relevant length scales. This project brings together several advanced technologies to characterize pore structure and wettability. Grain-scale models are developed that help to better interpret the electric and dielectric response of rocks. These studies allow the computation of realistic configurations of two immiscible fluids as a function of wettability and geologic characteristics. These fluid configurations form a basis for predicting and explaining macroscopic behavior, including the relationship between relative permeability, wettability and laboratory and wireline log measurements of NMR and dielectric response. Dielectric and NMR measurements have been made show that the response of the rocks depends on the wetting and flow properties of the rock. The theoretical models can be used for a better interpretation and inversion of standard well logs to obtain accurate and reliable estimates of fluid saturation and of their producibility. The ultimate benefit of this combined theoretical/empirical approach for reservoir characterization is that rather than reproducing the behavior of any particular sample or set of samples, it can explain and predict trends in behavior that can be applied at a range of length scales, including correlation with wireline logs, seismic, and geologic units and strata. This approach can substantially enhance wireline log interpretation for reservoir characterization and provide better descriptions, at several scales, of crucial reservoir flow properties that govern oil recovery.

  6. Finite element solution of multi-scale transport problems using the least squares based bubble function enrichment

    E-Print Network [OSTI]

    A. Yazdani; V. Nassehi

    2011-01-10T23:59:59.000Z

    This paper presents an optimum technique based on the least squares method for the derivation of the bubble functions to enrich the standard linear finite elements employed in the formulation of Galerkin weighted-residual statements. The element-level linear shape functions are enhanced with supplementary polynomial bubble functions with undetermined coefficients. The best least squares minimization of the residual functional obtained from the insertion of these trial functions into model equations results in an algebraic system of equations whose solution provides the unknown coefficients in terms of element-level nodal values. The normal finite element procedures for the construction of stiffness matrices may then be followed with no extra degree of freedom incurred as a result of such enrichment. The performance of the proposed method has been tested on a number of benchmark linear transport equations with the results compared against the exact and standard linear element solutions. It has been observed that low order bubble enriched elements produce more accurate approximations than the standard linear elements with no extra computational cost despite employing relatively crude mesh. However, for the solution of strongly convection or reaction dominated problems significantly higher order enrichments as well as extra mesh refinements will be required.

  7. Modeling dust as component minerals in the Community Atmosphere Model: development of framework and impact on radiative forcing

    SciTech Connect (OSTI)

    Scanza, Rachel; Mahowald, N.; Ghan, Steven J.; Zender, C. S.; Kok, J. F.; Liu, Xiaohong; Zhang, Y.; Albani, Samuel

    2015-01-01T23:59:59.000Z

    The mineralogy of desert dust is important due to its effect on radiation, clouds and biogeochemical cycling of trace nutrients. This study presents the simulation of dust radiative forcing as a function of both mineral composition and size at the global scale using mineral soil maps for estimating emissions. Externally mixed mineral aerosols in the bulk aerosol module in the Community Atmosphere Model version 4 (CAM4) and internally mixed mineral aerosols in the modal aerosol module in the Community Atmosphere Model version 5.1 (CAM5) embedded in the Community Earth System Model version 1.0.5 (CESM) are speciated into common mineral components in place of total dust. The simulations with mineralogy are compared to available observations of mineral atmospheric distribution and deposition along with observations of clear-sky radiative forcing efficiency. Based on these simulations, we estimate the all-sky direct radiative forcing at the top of the atmosphere as +0.05Wm?2 for both CAM4 and CAM5 simulations with mineralogy and compare this both with simulations of dust in release versions of CAM4 and CAM5 (+0.08 and +0.17Wm?2) and of dust with optimized optical properties, wet scavenging and particle size distribution in CAM4 and CAM5, ?0.05 and ?0.17Wm?2, respectively. The ability to correctly include the mineralogy of dust in climate models is hindered by its spatial and temporal variability as well as insufficient global in-situ observations, incomplete and uncertain source mineralogies and the uncertainties associated with data retrieved from remote sensing methods.

  8. Geoelectrical Measurement of Multi-Scale Mass Transfer Parameters Final Report to the Subsurface Biogeochemical Research Program

    SciTech Connect (OSTI)

    Day-Lewis, Frederick; Singha, Kamini; Haggerty, Roy; Johnson, Timothy; Binley, Andrew; Lane, John

    2014-03-10T23:59:59.000Z

    . In this project, we sought to capitalize on the geophysical signatures of mass transfer. Previous numerical modeling and pilot-scale field experiments suggested that mass transfer produces a geoelectrical signature—a hysteretic relation between sampled (mobile-domain) fluid conductivity and bulk (mobile + immobile) conductivity—over a range of scales relevant to aquifer remediation. In this work, we investigated the geoelectrical signature of mass transfer during tracer transport in a series of controlled experiments to determine the operation of controlling parameters, and also investigated the use of complex-resistivity (CR) as a means of quantifying mass transfer parameters in situ without tracer experiments. In an add-on component to our grant, we additionally considered nuclear magnetic resonance (NMR) to help parse mobile from immobile porosities. Our study objectives were to: 1. Develop and demonstrate geophysical approaches to measure mass-transfer parameters spatially and over a range of scales, including the combination of electrical resistivity monitoring, tracer tests, complex resistivity, nuclear magnetic resonance, and materials characterization; and 2. Provide mass-transfer estimates for improved understanding of contaminant fate and transport at DOE sites, such as uranium transport at the Hanford 300 Area. To achieve our objectives, we implemented a 3-part research plan involving (1) development of computer codes and techniques to estimate mass-transfer parameters from time-lapse electrical data; (2) bench-scale experiments on synthetic materials and materials from cores from the Hanford 300 Area; and (3) field demonstration experiments at the DOE’s Hanford 300 Area.

  9. U.S. Nuclear Regulatory Commission Extremely Low Probability of Rupture pilot study : xLPR framework model user's guide.

    SciTech Connect (OSTI)

    Kalinich, Donald A.; Sallaberry, Cedric M.; Mattie, Patrick D.

    2010-12-01T23:59:59.000Z

    For the U.S. Nuclear Regulatory Commission (NRC) Extremely Low Probability of Rupture (xLPR) pilot study, Sandia National Laboratories (SNL) was tasked to develop and evaluate a probabilistic framework using a commercial software package for Version 1.0 of the xLPR Code. Version 1.0 of the xLPR code is focused assessing the probability of rupture due to primary water stress corrosion cracking in dissimilar metal welds in pressurizer surge nozzles. Future versions of this framework will expand the capabilities to other cracking mechanisms, and other piping systems for both pressurized water reactors and boiling water reactors. The goal of the pilot study project is to plan the xLPR framework transition from Version 1.0 to Version 2.0; hence the initial Version 1.0 framework and code development will be used to define the requirements for Version 2.0. The software documented in this report has been developed and tested solely for this purpose. This framework and demonstration problem will be used to evaluate the commercial software's capabilities and applicability for use in creating the final version of the xLPR framework. This report details the design, system requirements, and the steps necessary to use the commercial-code based xLPR framework developed by SNL.

  10. A Predictive Model of Fragmentation using Adaptive Mesh Refinement and a Hierarchical Material Model

    SciTech Connect (OSTI)

    Koniges, A E; Masters, N D; Fisher, A C; Anderson, R W; Eder, D C; Benson, D; Kaiser, T B; Gunney, B T; Wang, P; Maddox, B R; Hansen, J F; Kalantar, D H; Dixit, P; Jarmakani, H; Meyers, M A

    2009-03-03T23:59:59.000Z

    Fragmentation is a fundamental material process that naturally spans spatial scales from microscopic to macroscopic. We developed a mathematical framework using an innovative combination of hierarchical material modeling (HMM) and adaptive mesh refinement (AMR) to connect the continuum to microstructural regimes. This framework has been implemented in a new multi-physics, multi-scale, 3D simulation code, NIF ALE-AMR. New multi-material volume fraction and interface reconstruction algorithms were developed for this new code, which is leading the world effort in hydrodynamic simulations that combine AMR with ALE (Arbitrary Lagrangian-Eulerian) techniques. The interface reconstruction algorithm is also used to produce fragments following material failure. In general, the material strength and failure models have history vector components that must be advected along with other properties of the mesh during remap stage of the ALE hydrodynamics. The fragmentation models are validated against an electromagnetically driven expanding ring experiment and dedicated laser-based fragmentation experiments conducted at the Jupiter Laser Facility. As part of the exit plan, the NIF ALE-AMR code was applied to a number of fragmentation problems of interest to the National Ignition Facility (NIF). One example shows the added benefit of multi-material ALE-AMR that relaxes the requirement that material boundaries must be along mesh boundaries.

  11. Commercial Implementation of Model-Based Manufacturing of Nanostructured Metals

    SciTech Connect (OSTI)

    Lowe, Terry C. [Los Alamos National Laboratory

    2012-07-24T23:59:59.000Z

    Computational modeling is an essential tool for commercial production of nanostructured metals. Strength is limited by imperfections at the high strength levels that are achievable in nanostructured metals. Processing to achieve homogeneity at the micro- and nano-scales is critical. Manufacturing of nanostructured metals is intrinsically a multi-scale problem. Manufacturing of nanostructured metal products requires computer control, monitoring and modeling. Large scale manufacturing of bulk nanostructured metals by Severe Plastic Deformation is a multi-scale problem. Computational modeling at all scales is essential. Multiple scales of modeling must be integrated to predict and control nanostructural, microstructural, macrostructural product characteristics and production processes.

  12. Modular framework for dynamic modeling and analyses of legged robots S.V. Shah, S.K. Saha , J.K. Dutt

    E-Print Network [OSTI]

    Saha, Subir Kumar

    Modular framework for dynamic modeling and analyses of legged robots S.V. Shah, S.K. Saha , J; fax: +91 11 26582053. E-mail addresses: surilvshah@gmail.com (S.V. Shah), saha@mech.iitd.ac.in (S.K. Saha), jkdutt@mech.iitd.ac.in (J.K. Dutt). 0094-114X/$ ­ see front matter © 2011 Elsevier Ltd. All

  13. Information percolation for the Ising model: cutoff in three dimensions up to criticality

    E-Print Network [OSTI]

    Eyal Lubetzky; Allan Sly

    2014-07-08T23:59:59.000Z

    We introduce a new framework for analyzing Glauber dynamics for the Ising model. The traditional approach for obtaining sharp mixing results has been to appeal to estimates on spatial properties of the stationary measure from within a multi-scale analysis of the dynamics. Here we propose to study these simultaneously by examining "information percolation" clusters in the space-time slab. Using this framework, we obtain new results for the Ising model on $(\\mathbb{Z}/n\\mathbb{Z})^d$ throughout the high temperature regime: total-variation mixing exhibits cutoff with an $O(1)$-window around the time at which the magnetization is the square-root of the volume. (Previously, cutoff in the full high temperature regime was only known for $d\\leq 2$, and only with an $O(\\log\\log n)$-window.) Furthermore, the new framework opens the door to understanding the effect of the initial state on the mixing time. We demonstrate this on the 1D Ising model, showing that starting from the uniform ("disordered") initial distribution asymptotically halves the mixing time, whereas almost every deterministic starting state is asymptotically as bad as starting from the ("ordered") all-plus state.

  14. Sandia National Laboratories: CAEBAT computational framework

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Sandia received funding for its "Mechanistic Modeling Framework for Predicting Extreme Battery Response: Coupled Hierarchical Models for Thermal, Mechanical, Electrical and...

  15. A multi-scale approach to statistical and model-based structural health monitoring with application to embedded sensing for wind energy

    E-Print Network [OSTI]

    Taylor, Stuart Glynn

    2013-01-01T23:59:59.000Z

    Turbine," in 2002 ASME Wind Energy Symposium , 2002, pp.turbine," in 2001 ASME Wind Energy Symposium , 2001, pp.Program," in 2001 ASME Wind Energy Symposium , 2001, pp.

  16. Understanding the complexity of the Lvy-walk nature of human mobility with a multi-scale cost/benefit model

    E-Print Network [OSTI]

    Scafetta, Nicola

    are searched in the urban area of the city of residence or in the urban area of specific nearby cities. We also by the American Institute of Physics. Related Articles A theory of energy cost and speed of climbing AIP Advances Stokesian Dynamics to swim Phys. Fluids 23, 071901 (2011) Stride-to-stride energy regulation for robust self

  17. A multi-scale approach to statistical and model-based structural health monitoring with application to embedded sensing for wind energy

    E-Print Network [OSTI]

    Taylor, Stuart Glynn

    2013-01-01T23:59:59.000Z

    rotor blade," Structural Health Monitoring, accepted 12-Novdeployed for structural health monitoring applications,"J. -R. Lee, "Structural health monitoring of research-scale

  18. A multi-scale approach to statistical and model-based structural health monitoring with application to embedded sensing for wind energy

    E-Print Network [OSTI]

    Taylor, Stuart Glynn

    2013-01-01T23:59:59.000Z

    resonant excitation (UREX) system, which hydraulicallyis shown in Figure 8. The UREX system, which had a mass ofFlapwise Fixed-Free with UREX [21] 2.5.2. Instrumentation

  19. Hierarchical modeling of multi-scale dynamical systems using adaptive radial basis function neural networks: application to synthetic jet actuator wing

    E-Print Network [OSTI]

    Lee, Hee Eun

    2004-09-30T23:59:59.000Z

    is best. More importantly, one might infer that ?it would be nice?, if the approximation approach was inherently adaptive in the sense that the mathematical structure of the approximation method was learned from the data, rather than merely estimating...

  20. A multi-scale approach to statistical and model-based structural health monitoring with application to embedded sensing for wind energy

    E-Print Network [OSTI]

    Taylor, Stuart Glynn

    2013-01-01T23:59:59.000Z

    in composite wind turbine blades," Journal of IntelligentState estimate of wind turbine blades using geometricallytests of CX-100 wind turbine blades. Part II: analysis," in

  1. A multi-scale approach to statistical and model-based structural health monitoring with application to embedded sensing for wind energy

    E-Print Network [OSTI]

    Taylor, Stuart Glynn

    2013-01-01T23:59:59.000Z

    comparison in a composite wind turbine rotor blade." Thecrack detection in composite wind turbine blades." Thecomparison in a composite wind turbine rotor blade,"

  2. A study of sand-asphalt mixtures: a constitutive model based on a thermomechanical framework and experimental corroboration 

    E-Print Network [OSTI]

    Ravindran, Parag

    2009-06-02T23:59:59.000Z

    . In proportion to the quantity of its usage and in acknowledgment of modeling complexity, the material has been interrogated by many researchers using a variety of mechanical tests, and a plethora of linear viscoelastic models have been developed. Most models...

  3. Development and Demonstration of a Modeling Framework for Assessing the Efficacy of Using Mine Water for Thermoelectric Power Generation

    SciTech Connect (OSTI)

    None

    2010-03-01T23:59:59.000Z

    Thermoelectric power plants use large volumes of water for condenser cooling and other plant operations. Traditionally, this water has been withdrawn from the cleanest water available in streams and rivers. However, as demand for electrical power increases it places increasing demands on freshwater resources resulting in conflicts with other off stream water users. In July 2002, NETL and the Governor of Pennsylvania called for the use of water from abandoned mines to replace our reliance on the diminishing and sometimes over allocated surface water resource. In previous studies the National Mine Land Reclamation Center (NMLRC) at West Virginia University has demonstrated that mine water has the potential to reduce the capital cost of acquiring cooling water while at the same time improving the efficiency of the cooling process due to the constant water temperatures associated with deep mine discharges. The objectives of this project were to develop and demonstrate a user-friendly computer based design aid for assessing the costs, technical and regulatory aspects and potential environmental benefits for using mine water for thermoelectric generation. The framework provides a systematic process for evaluating the hydrologic, chemical, engineering and environmental factors to be considered in using mine water as an alternative to traditional freshwater supply. A field investigation and case study was conducted for the proposed 300 MW Beech Hollow Power Plant located in Champion, Pennsylvania. The field study based on previous research conducted by NMLRC identified mine water sources sufficient to reliably supply the 2-3,000gpm water supply requirement of Beech Hollow. A water collection, transportation and treatment system was designed around this facility. Using this case study a computer based design aid applicable to large industrial water users was developed utilizing water collection and handling principals derived in the field investigation and during previous studies of mine water and power plant cooling. Visual basic software was used to create general information/evaluation modules for a range of power plant water needs that were tested/verified against the Beech Hollow project. The program allows for consideration of blending mine water as needed as well as considering potential thermal and environmental benefits that can be derived from using constant temperature mine water. Users input mine water flow, quality, distance to source, elevations to determine collection, transport and treatment system design criteria. The program also evaluates low flow volumes and sustainable yields for various sources. All modules have been integrated into a seamless user friendly computer design aid and user's manual for evaluating the capital and operating costs of mine water use. The framework will facilitate the use of mine water for thermoelectric generation, reduce demand on freshwater resources and result in environmental benefits from reduced emissions and abated mine discharges.

  4. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 24, NO. 2, FEBRUARY 2006 305 Information Theoretic Framework of Trust Modeling

    E-Print Network [OSTI]

    Ramkumar, Mahalingam

    . The pro- posed trust evaluation method and trust models are employed in ad hoc networks for secure ad hoc Terms--Ad hoc networks, security, trust modeling and evaluation. I. INTRODUCTION AN AD HOC NETWORK strategy to improve security of ad hoc networks is to develop mech- anisms that allow a node to evaluate

  5. Enterprise Risk Management Framework

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Framework The Enterprise Risk Management (ERM) framework includes four steps: identify the risks, determine the probability and impact of each one, identify controls that are...

  6. Sustainability Framework 1 Queen's University

    E-Print Network [OSTI]

    Abolmaesumi, Purang

    Sustainability Framework 1 Queen's University Sustainability Strategic Framework #12;Sustainability Framework 2 Contents Introduction .................................................................................................................................................. 2 Queen's Sustainability Mission

  7. Variable Density Flow Modeling for Simulation Framework for Regional Geologic CO{sub 2} Storage Along Arches Province of Midwestern United States

    SciTech Connect (OSTI)

    Joel Sminchak

    2011-09-30T23:59:59.000Z

    The Arches Province in the Midwestern U.S. has been identified as a major area for carbon dioxide (CO{sub 2}) storage applications because of the intersection of Mt. Simon sandstone reservoir thickness and permeability. To better understand large-scale CO{sub 2} storage infrastructure requirements in the Arches Province, variable density scoping level modeling was completed. Three main tasks were completed for the variable density modeling: Single-phase, variable density groundwater flow modeling; Scoping level multi-phase simulations; and Preliminary basin-scale multi-phase simulations. The variable density modeling task was successful in evaluating appropriate input data for the Arches Province numerical simulations. Data from the geocellular model developed earlier in the project were translated into preliminary numerical models. These models were calibrated to observed conditions in the Mt. Simon, suggesting a suitable geologic depiction of the system. The initial models were used to assess boundary conditions, calibrate to reservoir conditions, examine grid dimensions, evaluate upscaling items, and develop regional storage field scenarios. The task also provided practical information on items related to CO{sub 2} storage applications in the Arches Province such as pressure buildup estimates, well spacing limitations, and injection field arrangements. The Arches Simulation project is a three-year effort and part of the United States Department of Energy (U.S. DOE)/National Energy Technology Laboratory (NETL) program on innovative and advanced technologies and protocols for monitoring/verification/accounting (MVA), simulation, and risk assessment of CO{sub 2} sequestration in geologic formations. The overall objective of the project is to develop a simulation framework for regional geologic CO{sub 2} storage infrastructure along the Arches Province of the Midwestern U.S.

  8. Physics-Based Stress Corrosion Cracking Component Reliability Model cast in an R7-Compatible Cumulative Damage Framework

    SciTech Connect (OSTI)

    Unwin, Stephen D.; Lowry, Peter P.; Layton, Robert F.; Toloczko, Mychailo B.; Johnson, Kenneth I.; Sanborn, Scott E.

    2011-07-01T23:59:59.000Z

    This is a working report drafted under the Risk-Informed Safety Margin Characterization pathway of the Light Water Reactor Sustainability Program, describing statistical models of passives component reliabilities.

  9. Modeling the effect of climate change on U.S. state-level buildings energy demands in an integrated assessment framework

    SciTech Connect (OSTI)

    Zhou, Yuyu; Clarke, Leon E.; Eom, Jiyong; Kyle, G. Page; Patel, Pralit L.; Kim, Son H.; Dirks, James A.; Jensen, Erik A.; Liu, Ying; Rice, Jennie S.; Schmidt, Laurel C.; Seiple, Timothy E.

    2014-01-01T23:59:59.000Z

    As long-term socioeconomic transformation and energy service expansion show large spatial heterogeneity, advanced understanding of climate impact on building energy use at the sub-national level will offer useful insights into climate policy and regional energy system planning. In this study, we presented a detailed building energy model with a U.S. state-level representation, nested in the GCAM integrated assessment framework. We projected state-level building energy demand and its spatial pattern over the century, considering the impact of climate change based on the estimates of heating and cooling degree days derived from downscaled USGS CASCaDE temperature data. The result indicates that climate change has a large impact on heating and cooling building energy and fuel use at the state level, exhibiting large spatial heterogeneity across states (ranges from -10% to +10%). The sensitivity analysis reveals that the building energy demand is subject to multiple key factors, such as the magnitude of climate change, the choice of climate models, and the growth of population and GDP, and that their relative contributions vary greatly across the space. The scale impact in building energy use modeling highlights the importance of constructing a building energy model with the spatially-explicit representation of socioeconomics, energy system development, and climate change. These findings will help the climate-based policy decision and energy system, especially utility planning related to building sector at the U.S. state and regional level facing the potential climate change.

  10. Role of Modeling When Designing for Absolute Energy Use Intensity Requirements in a Design-Build Framework: Preprint

    SciTech Connect (OSTI)

    Hirsch, A.; Pless, S.; Guglielmetti, R.; Torcellini, P. A.; Okada, D.; Antia, P.

    2011-03-01T23:59:59.000Z

    The Research Support Facility was designed to use half the energy of an equivalent minimally code-compliant building, and to produce as much renewable energy as it consumes on an annual basis. These energy goals and their substantiation through simulation were explicitly included in the project's fixed firm price design-build contract. The energy model had to be continuously updated during the design process and to match the final building as-built to the greatest degree possible. Computer modeling played a key role throughout the design process and in verifying that the contractual energy goals would be met within the specified budget. The main tool was a whole building energy simulation program. Other models were used to provide more detail or to complement the whole building simulation tool. Results from these specialized models were fed back into the main whole building simulation tool to provide the most accurate possible inputs for annual simulations. This paper will detail the models used in the design process and how they informed important program and design decisions on the path from preliminary design to the completed building.

  11. Draft of M2 Report on Integration of the Hybrid Hydride Model into INL’s MBM Framework for Review

    SciTech Connect (OSTI)

    Tikare, Veena; Weck, Philippe F.; Schultz, Peter A.; Clark, Blythe; Glazoff, Michael; Homer, Eric

    2014-07-01T23:59:59.000Z

    This report documents the development, demonstration and validation of a mesoscale, microstructural evolution model for simulation of zirconium hydride {delta}-ZrH{sub 1.5} precipitation in the cladding of used nuclear fuels that may occur during long-term dry storage. While the Zr-based claddings are manufactured free of any hydrogen, they absorb hydrogen during service, in the reactor by a process commonly termed ‘hydrogen pick-up’. The precipitation and growth of zirconium hydrides during dry storage is one of the most likely fuel rod integrity failure mechanisms either by embrittlement or delayed hydride cracking of the cladding (Hanson et al., 2011). While the phenomenon is well documented and identified as a potential key failure mechanism during long-term dry storage (Birk et al., 2012 and NUREG/CR-7116), the ability to actually predict the formation of hydrides is poor. The model being documented in this work is a computational capability for the prediction of hydride formation in different claddings of used nuclear fuels. This work supports the Used Fuel Disposition Research and Development Campaign in assessing the structural engineering performance of the cladding during and after long-term dry storage. This document demonstrates a basic hydride precipitation model that is built on a recently developed hybrid Potts-phase field model that combines elements of Potts-Monte Carlo and the phase-field models (Homer et al., 2013; Tikare and Schultz, 2012). The model capabilities are demonstrated along with the incorporation of the starting microstructure, thermodynamics of the Zr-H system and the hydride formation mechanism.

  12. Framework for Measuring Sustainable

    E-Print Network [OSTI]

    Levinson, David M.

    Knight Foundation will use this sustainability framework for internal organizational purposes with the possibility

  13. Evaluation of the Simulated Interannual and Subseasonal Variability in an AMIP-Style Simulation Using the CSU Multiscale Modeling Framework

    E-Print Network [OSTI]

    Collett Jr., Jeffrey L.

    parameterizations of convection, clouds, and boundary layer with a cloud-resolving model (CRM) embedded into each­style simulation using the 1985­ 2004 sea surface temperature (SST) and sea ice distributions as prescribed a robust MJO and Kelvin and Rossby waves with phase speeds similar to those observed. The geographical

  14. Cognitive decision errors and organization vulnerabilities in nuclear power plant safety management: Modeling using the TOGA meta-theory framework

    SciTech Connect (OSTI)

    Cappelli, M. [UTFISST, ENEA Casaccia, via Anguillarese 301, Rome (Italy); Gadomski, A. M. [ECONA, Centro Interuniversitario Elaborazione Cognitiva Sistemi Naturali e Artificiali, via dei Marsi 47, Rome (Italy); Sepiellis, M. [UTFISST, ENEA Casaccia, via Anguillarese 301, Rome (Italy); Wronikowska, M. W. [UTFISST, ENEA Casaccia, via Anguillarese 301, Rome (Italy); Poznan School of Social Sciences (Poland)

    2012-07-01T23:59:59.000Z

    In the field of nuclear power plant (NPP) safety modeling, the perception of the role of socio-cognitive engineering (SCE) is continuously increasing. Today, the focus is especially on the identification of human and organization decisional errors caused by operators and managers under high-risk conditions, as evident by analyzing reports on nuclear incidents occurred in the past. At present, the engineering and social safety requirements need to enlarge their domain of interest in such a way to include all possible losses generating events that could be the consequences of an abnormal state of a NPP. Socio-cognitive modeling of Integrated Nuclear Safety Management (INSM) using the TOGA meta-theory has been discussed during the ICCAP 2011 Conference. In this paper, more detailed aspects of the cognitive decision-making and its possible human errors and organizational vulnerability are presented. The formal TOGA-based network model for cognitive decision-making enables to indicate and analyze nodes and arcs in which plant operators and managers errors may appear. The TOGA's multi-level IPK (Information, Preferences, Knowledge) model of abstract intelligent agents (AIAs) is applied. In the NPP context, super-safety approach is also discussed, by taking under consideration unexpected events and managing them from a systemic perspective. As the nature of human errors depends on the specific properties of the decision-maker and the decisional context of operation, a classification of decision-making using IPK is suggested. Several types of initial situations of decision-making useful for the diagnosis of NPP operators and managers errors are considered. The developed models can be used as a basis for applications to NPP educational or engineering simulators to be used for training the NPP executive staff. (authors)

  15. Integrated biomechanical model of cells embedded in extracellular matrix

    E-Print Network [OSTI]

    Muddana, Hari Shankar

    2009-05-15T23:59:59.000Z

    of cells, which in turn gives rise to the characteristic form for the organism. Morphogenesis is a multi-scale modeling problem that can be studied at the molecular, cellular, and tissue levels. Here, we study the problem of morphogenesis at the cellular...

  16. Concurrent multi-level model for damage evolution in microstructurally debonding composites

    E-Print Network [OSTI]

    Ghosh, Somnath

    Concurrent multi-level model for damage evolution in microstructurally debonding composites S. Ghosh *, J. Bai, P. Raghavan Department of Mechanical Engineering, The Ohio State University, Columbus This paper develops an adaptive concurrent multi-level computational model for multi-scale analysis

  17. A computational model for predicting damage evolution in laminated composite plates

    E-Print Network [OSTI]

    Phillips, Mark Lane

    1999-01-01T23:59:59.000Z

    computationally tenable is shown herein. Due to the complicated nature of the many cracks and their interactions, a multi-scale micro-meso-local-global methodology is employed in order to model damage modes. Interface degradation is first modeled analytically...

  18. Ecological Modelling 250 (2013) 81100 Contents lists available at SciVerse ScienceDirect

    E-Print Network [OSTI]

    Wu, Jianguo "Jingle"

    2013-01-01T23:59:59.000Z

    (HPM- UEM), a multi-scaled model that explicitly treats spatial pattern and hierarchical structure. By addressing six hierarchical levels from individual plant to the urbanized region, HPM-UEM provides, HPM-UEM models the complex spatiotemporal pattern of multiple environ- mental constraints on urban

  19. LONG-TERM GLOBAL WATER USE PROJECTIONS USING SIX SOCIOECONOMIC SCENARIOS IN AN INTEGRATED ASSESSMENT MODELING FRAMEWORK

    SciTech Connect (OSTI)

    Hejazi, Mohamad I.; Edmonds, James A.; Clarke, Leon E.; Kyle, G. Page; Davies, Evan; Chaturvedi, Vaibhav; Wise, Marshall A.; Patel, Pralit L.; Eom, Jiyong; Calvin, Katherine V.; Moss, Richard H.; Kim, Son H.

    2014-01-19T23:59:59.000Z

    In this paper, we assess future water demands for the agricultural (irrigation and livestock), energy (electricity generation, primary energy production and processing), industrial (manufacturing and mining), and municipal sectors, by incorporating water demands into a technologically-detailed global integrated assessment model of energy, agriculture, and climate change – the Global Change Assessment Model (GCAM). Base-year water demands—both gross withdrawals and net consumptive use—are assigned to specific modeled activities in a way that maximizes consistency between bottom-up estimates of water demand intensities of specific technologies and practices, and top-down regional and sectoral estimates of water use. The energy, industrial, and municipal sectors are represented in fourteen geopolitical regions, with the agricultural sector further disaggregated into as many as eighteen agro-ecological zones (AEZs) within each region. We assess future water demands representing six socioeconomic scenarios, with no constraints imposed by future water supplies. The scenarios observe increases in global water withdrawals from 3,578 km3 year-1 in 2005 to 5,987 – 8,374 km3 year-1 in 2050, and to 4,719 – 12,290 km3 year-1 in 2095. Comparing the projected total regional water withdrawals to the historical supply of renewable freshwater, the Middle East exhibits the highest levels of water scarcity throughout the century, followed by India; water scarcity increases over time in both of these regions. In contrast, water scarcity improves in some regions with large base-year electric sector withdrawals, such as the USA and Canada, due to capital stock turnover and the almost complete phase-out of once-through flow cooling systems. The scenarios indicate that: 1) water is likely a limiting factor in climate change mitigation policies, 2) many regions can be expected to increase reliance on non-renewable groundwater, water reuse, and desalinated water, but they also highlight an important role for development and deployment of water conservation technologies and practices.

  20. adaptable component frameworks: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    of QUA, we describe the integration of an advanced component model technology, the FRACTAL component model, with the QUA framework. Our experience from this exercise shows that...

  1. An investigation of the multi-scale mixed finite element??eamline simulator and it򳠣oupling with the ensemble kalman filter

    E-Print Network [OSTI]

    Mukerjee, Rahul

    2009-05-15T23:59:59.000Z

    solving these local flow problems can be obtained with significant savings in computational time. The ensemble Kalman filter, used for real-time updating of reservoir models, can thus be coupled with the MsMFEM-streamline simulator to speed up...

  2. A framework for delay emulation of large-scale internetworks

    E-Print Network [OSTI]

    Venkata, Shravan Rangaraju

    2001-01-01T23:59:59.000Z

    . The framework models and dynamically adapts the test traffic according to the network delay characteristics observed on the Internet in real-time. The proposed framework consists of three main modules: Virtual Host Configuration Module, Delay Estimator...

  3. Demonstration of a Novel, Integrated, Multi-Scale Procedure for High-Resolution 3D Reservoir Characterization and Improved CO2-EOR/Sequestration Management, SACROC Unit

    SciTech Connect (OSTI)

    Scott R. Reeves

    2007-09-30T23:59:59.000Z

    The primary goal of this project was to demonstrate a new and novel approach for high resolution, 3D reservoir characterization that can enable better management of CO{sub 2} enhanced oil recovery (EOR) projects and, looking to the future, carbon sequestration projects. The approach adopted has been the subject of previous research by the DOE and others, and relies primarily upon data-mining and advanced pattern recognition approaches. This approach honors all reservoir characterization data collected, but accepts that our understanding of how these measurements relate to the information of most interest, such as how porosity and permeability vary over a reservoir volume, is imperfect. Ideally the data needed for such an approach includes surface seismic to provide the greatest amount of data over the entire reservoir volume of interest, crosswell seismic to fill the resolution gap between surface seismic and wellbore-scale measurements, geophysical well logs to provide the vertical resolution sought, and core data to provide the tie to the information of most interest. These data are combined via a series of one or more relational models to enable, in its most successful application, the prediction of porosity and permeability on a vertical resolution similar to logs at each surface seismic trace location. In this project, the procedure was applied to the giant (and highly complex) SACROC unit of the Permian basin in West Texas, one of the world's largest CO{sub 2}-EOR projects and a potentially world-class geologic sequestration site. Due to operational scheduling considerations on the part of the operator of the field, the crosswell data was not obtained during the period of project performance (it is currently being collected however as part of another DOE project). This compromised the utility of the surface seismic data for the project due to the resolution gap between it and the geophysical well logs. An alternative approach was adopted that utilized a relational model to predict porosity and permeability profiles from well logs at each well location, and a 3D geostatistical variogram to generate the reservoir characterization over the reservoir volume of interest. A reservoir simulation model was built based upon this characterization and history-matched without making significant changes to it, thus validating the procedure. While not the same procedure as originally planned, the procedure ultimately employed proved successful and demonstrated that the general concepts proposed (i.e., data mining and advanced pattern recognition methods) have the flexibility to achieve the reservoir characterization objectives sought even with imperfect or incomplete data.

  4. Managing by passion, professionalism and performance : the MBP³ model : an alternative management framework developed for the Instituto de Ciencias Terra-Mar (ICTM)

    E-Print Network [OSTI]

    Coelho, Alexandre C. (Alexandre Costa)

    2007-01-01T23:59:59.000Z

    The objective of this thesis is to develop a new, tailor-made and innovative managerial framework for the Instituto de Ciencias Terra-Mar (ICTM). The ICTM is a multi-functional science and technology institute dedicated ...

  5. IBRD Operational Decision Framework

    SciTech Connect (OSTI)

    Greenwalt, R; Hibbard, W; Raber, E; Carlsen, T; Folks, K; MacQueen, D; Mancieri, S; Bunt, T; Richards, J; Hirabayashi-Dethier, J

    2010-11-12T23:59:59.000Z

    The IBRD Operational Decision Framework in this document is an expansion of an emerging general risk management framework under development by an interagency working group. It provides the level of detail necessary to develop a general Consequence Management Guidance Document for biological contamination remediation and restoration. It is the intent of this document to support both wide area and individual site remediation and restoration activities. This product was initiated as a portion of the IBRD Task 1 Systems Analysis to aid in identification of wide area remediation and restoration shortcomings and gaps. The draft interagency general risk management framework was used as the basis for the analysis. The initial Task 1 analysis document expanded the draft interagency framework to a higher level of resolution, building on both the logic structure and the accompanying text explanations. It was then employed in a qualitative manner to identify responsible agencies, data requirements, tool requirements, and current capabilities for each decision and task. This resulted in identifying shortcomings and gaps needing resolution. Several meetings of a joint LLNL/SNL working group reviewed and approved the initial content of this analysis. At the conclusion of Task 1, work continued on the expanded framework to generate this Operational Decision Framework which is consistent with the existing interagency general risk management framework. A large LLNL task group met repeatedly over a three-month period to develop the expanded framework, coordinate the framework with the biological remediation checklist, and synchronize the logic with the Consequence Management Plan table of contents. The expanded framework was briefed at a large table top exercise reviewing the interagency risk management framework. This exercise had representation from major US metropolitan areas as well as national agencies. This product received positive comments from the participants. Upon completion of the Operational Decision Framework, another joint LLNL/SNL working group conducted a day-long review. Identified modifications were made to the document, resulting in the included product.

  6. INSTITUTE OF PHYSICS PUBLISHING MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING Modelling Simul. Mater. Sci. Eng. 14 (2006) 13631396 doi:10.1088/0965-0393/14/8/006

    E-Print Network [OSTI]

    Ghosh, Somnath

    2006-01-01T23:59:59.000Z

    based pre-processor for multi-scale modelling of cast aluminium alloys Somnath Ghosh1,3 , D M Valiveti4 aluminium alloy with different secondary dendrite arm spacings SDAS is demonstrated. The MDP method in the UK 1363 #12;1364 S Ghosh et al 1. Introduction Cast aluminium alloys such as the 319-type

  7. 288 Int. J. Nuclear Energy Science and Technology, Vol. 7, No. 4, 2013 Multi-physics modelling of nuclear reactors

    E-Print Network [OSTI]

    Demazière, Christophe

    of nuclear reactors: current practices in a nutshell Christophe Demazière Department of Applied Physics of nuclear reactors are based on the use of different solvers for resolving the different physical fields and the corresponding approximations. Keywords: nuclear reactors; multi-physics; multi-scale; modelling; deterministic

  8. Multi-scale comparative spectral analysis of satellite total solar irradiance measurements from 2003 to 2013 reveals a planetary modulation of solar activity and its non-linear dependence on the 11-year solar cycle

    E-Print Network [OSTI]

    Nicola Scafetta; Richard C. Willson

    2013-11-26T23:59:59.000Z

    Herein we adopt a multi-scale dynamical spectral analysis technique to compare and study the dynamical evolution of the harmonic components of the overlapping ACRIMSAT/ACRIM3, SOHO/VIRGO and SORCE/TIM total solar irradiance (TSI) records during 2003.15 to 2013.16 in solar cycles 23 and 24. The three TSI time series present highly correlated patterns. Significant power spectral peaks are common to these records and are observed at the following periods: 0.070 year, 0.097 year, 0.20 year, 0.25 year, 0.30-0.34 year, 0.39 year. Less certain spectral peaks occur at about 0.55 year, 0.60-0.65 year and 0.7-0.9 year. Four main frequency periods at 24.8 days (0.068 year), 27.3 days (0.075 year), at 34-35 days (0.093-0.096 year) and 36-38 days (0.099-0.104 year) characterize the solar rotation cycle. The amplitude of these oscillations, in particular of those with periods larger than 0.5 year, appears to be modulated by the 11-year solar cycle. Similar harmonics have been found in other solar indices. The observed periodicities are found highly coherent with the spring, orbital and synodic periods of Mercury, Venus, Earth and Jupiter. We conclude that solar activity is likely modulated by planetary gravitational and electromagnetic forces acting on the sun. The strength of the sun's response to planetary forcing depends non-linearly on the state of internal solar dynamics: planetary-sun coupling effects are enhanced during solar activity maxima and attenuated during minima.

  9. Multi-Scale Reinforced Carbon Fiber Nanocomposites 

    E-Print Network [OSTI]

    VanRooyen, Ainsley

    2008-08-19T23:59:59.000Z

    Carbon fiber polymer composites are utilized in many industries including in commercial and military aircraft and space vehicles because of their lighter weight and superior strength compared to aluminum and steel. Due to the insulating nature...

  10. Multi-Scale Reinforced Carbon Fiber Nanocomposites

    E-Print Network [OSTI]

    VanRooyen, Ainsley

    2008-08-19T23:59:59.000Z

    composites through addition of carbon nanofibers. As a first step, this study aims to develop an effective technique to disperse carbon nanofibers in the epoxy using mechanical stirring along with sonication, and characterize cured composite samples...

  11. Multi-scale analysis of cardiac myoarchitecture

    E-Print Network [OSTI]

    Wang, Teresa T

    2008-01-01T23:59:59.000Z

    The distribution and generation of force within the myocardium during normal contractility is dictated by the tissue's underlying 3D myoarchitecture. The presence of disordered myoarchitecture may in turn constitute the ...

  12. Development of fine-resolution analyses and expanded large-scale forcing properties. Part II: Scale-awareness and application to single-column model experiments

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Feng, Sha; Vogelmann, Andrew M.; Li, Zhijin; Liu, Yangang; Lin, Wuyin; Zhang, Minghua; Toto, Tami; Endo, Satoshi

    2015-01-27T23:59:59.000Z

    Fine-resolution three-dimensional fields have been produced using the Community Gridpoint Statistical Interpolation (GSI) data assimilation system for the U.S. Department of Energy’s Atmospheric Radiation Measurement Program (ARM) Southern Great Plains region. The GSI system is implemented in a multi-scale data assimilation framework using the Weather Research and Forecasting model at a cloud-resolving resolution of 2 km. From the fine-resolution three-dimensional fields, large-scale forcing is derived explicitly at grid-scale resolution; a subgrid-scale dynamic component is derived separately, representing subgrid-scale horizontal dynamic processes. Analyses show that the subgrid-scale dynamic component is often a major component over the large-scale forcing for grid scalesmore »larger than 200 km. The single-column model (SCM) of the Community Atmospheric Model version 5 (CAM5) is used to examine the impact of the grid-scale and subgrid-scale dynamic components on simulated precipitation and cloud fields associated with a mesoscale convective system. It is found that grid-scale size impacts simulated precipitation, resulting in an overestimation for grid scales of about 200 km but an underestimation for smaller grids. The subgrid-scale dynamic component has an appreciable impact on the simulations, suggesting that grid-scale and subgrid-scale dynamic components should be considered in the interpretation of SCM simulations.« less

  13. Development of fine-resolution analyses and expanded large-scale forcing properties. Part II: Scale-awareness and application to single-column model experiments

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Feng, Sha [Univ. of California at Los Angeles, Los Angeles, CA (United States); California Inst. of Technology, Pasadena, CA (United States); Vogelmann, Andrew M. [Brookhaven National Lab. (BNL), Upton, NY (United States); Li, Zhijin [California Inst. of Technology (CalTech), Pasadena, CA (United States); Univ. of California at Los Angeles, Los Angeles, CA (United States); Liu, Yangang [Brookhaven National Lab. (BNL), Upton, NY (United States); Lin, Wuyin [Brookhaven National Lab. (BNL), Upton, NY (United States); Zhang, Minghua [Stony Brook Univ., NY (United States); Toto, Tami [Brookhaven National Lab. (BNL), Upton, NY (United States); Endo, Satoshi [Brookhaven National Lab. (BNL), Upton, NY (United States)

    2015-01-27T23:59:59.000Z

    Fine-resolution three-dimensional fields have been produced using the Community Gridpoint Statistical Interpolation (GSI) data assimilation system for the U.S. Department of Energy’s Atmospheric Radiation Measurement Program (ARM) Southern Great Plains region. The GSI system is implemented in a multi-scale data assimilation framework using the Weather Research and Forecasting model at a cloud-resolving resolution of 2 km. From the fine-resolution three-dimensional fields, large-scale forcing is derived explicitly at grid-scale resolution; a subgrid-scale dynamic component is derived separately, representing subgrid-scale horizontal dynamic processes. Analyses show that the subgrid-scale dynamic component is often a major component over the large-scale forcing for grid scales larger than 200 km. The single-column model (SCM) of the Community Atmospheric Model version 5 (CAM5) is used to examine the impact of the grid-scale and subgrid-scale dynamic components on simulated precipitation and cloud fields associated with a mesoscale convective system. It is found that grid-scale size impacts simulated precipitation, resulting in an overestimation for grid scales of about 200 km but an underestimation for smaller grids. The subgrid-scale dynamic component has an appreciable impact on the simulations, suggesting that grid-scale and subgrid-scale dynamic components should be considered in the interpretation of SCM simulations.

  14. Framework for Physics Computation

    SciTech Connect (OSTI)

    Schwan, Karsten [Georgia Institute of Technology

    2012-01-13T23:59:59.000Z

    The Georgia Tech team has been working in collaboration with ORNL and Rutgers on improved I/O for petascale fusion codes, specifically, to integrate staging methods into the ADIOS framework. As part of this on-going work, we have released the DataTap server as part of the ADIOS release, and we have been working on improving the ‘in situ’ processing capabilities of the ADIOS framework. In particular, we have been moving forward with a design that adds additional metadata to describe the data layout and structure of data that is being moved for I/O purposes, building on the FFS type system developed in our past research

  15. Flexible Framework for Building Energy Analysis: Preprint

    SciTech Connect (OSTI)

    Hale, E.; Macumber, D.; Weaver, E.; Shekhar, D.

    2012-09-01T23:59:59.000Z

    In the building energy research and advanced practitioner communities, building models are perturbed across large parameter spaces to assess energy and cost performance in the face of programmatic and economic constraints. This paper describes the OpenStudio software framework for performing such analyses.

  16. Power Systems Stability Control : Reinforcement Learning Framework

    E-Print Network [OSTI]

    Wehenkel, Louis

    1 Power Systems Stability Control : Reinforcement Learning Framework Damien Ernst, Member, IEEE systems. We describe some challenges in power system control and discuss how some of those challenges with the real power system and the off-line mode in which the interaction occurs with a simulation model

  17. Preparation of functionalized zeolitic frameworks

    DOE Patents [OSTI]

    Yaghi, Omar M; Furukawa, Hiroyasu; Wang, Bo

    2013-07-09T23:59:59.000Z

    The disclosure provides zeolitic frameworks for gas separation, gas storage, catalysis and sensors. More particularly the disclosure provides zeolitic frameworks (ZIFs). The ZIF of the disclosure comprises any number of transition metals or a homogenous transition metal composition.

  18. Preparation of functionalized zeolitic frameworks

    DOE Patents [OSTI]

    Yaghi, Omar M.; Hayashi, Hideki; Banerjee, Rahul; Park, Kyo Sung; Wang, Bo; Cote, Adrien P.

    2014-08-19T23:59:59.000Z

    The disclosure provides zeolitic frameworks for gas separation, gas storage, catalysis and sensors. More particularly the disclosure provides zeolitic frameworks (ZIFs). The ZIF of the disclosure comprises any number of transition metals or a homogenous transition metal composition.

  19. An urban intervention : enabling frameworks

    E-Print Network [OSTI]

    Harrigan, Neil Patrick

    1993-01-01T23:59:59.000Z

    The relationship between design and the idea of a framework is essentially an attitude about ordering. A framework is an Intellectual proposition which can support a variety ideas, and in doing so, it provides a resolution ...

  20. Preparation of functionalized zeolitic frameworks

    DOE Patents [OSTI]

    Yaghi, Omar M; Hayashi, Hideki; Banerjee, Rahul; Park, Kyo Sung; Wang, Bo; Cote, Adrien P

    2012-11-20T23:59:59.000Z

    The disclosure provides zeolitic frameworks for gas separation, gas storage, catalysis and sensors. More particularly the disclosure provides zeolitic frameworks (ZIFs). The ZIF of the disclosure comprises any number of transition metals or a homogenous transition metal composition.

  1. An Estimation and Simulation Framework for Energy Efficient Design using Platform FPGAs

    E-Print Network [OSTI]

    Prasanna, Viktor K.

    An Estimation and Simulation Framework for Energy Efficient Design using Platform FPGAs Sumit modeling technique, domain specific modeling, and a methodology for energy-efficient design of application

  2. Conceptual Model Summary Report Simulation Framework for Regional Geologic CO{sub 2} Storage Along Arches Province of Midwestern United States

    SciTech Connect (OSTI)

    None

    2011-06-30T23:59:59.000Z

    A conceptual model was developed for the Arches Province that integrates geologic and hydrologic information on the Eau Claire and Mt. Simon formations into a geocellular model. The conceptual model describes the geologic setting, stratigraphy, geologic structures, hydrologic features, and distribution of key hydraulic parameters. The conceptual model is focused on the Mt. Simon sandstone and Eau Claire formations. The geocellular model depicts the parameters and conditions in a numerical array that may be imported into the numerical simulations of carbon dioxide (CO{sub 2}) storage. Geophysical well logs, rock samples, drilling logs, geotechnical test results, and reservoir tests were evaluated for a 500,000 km{sup 2} study area centered on the Arches Province. The geologic and hydraulic data were integrated into a three-dimensional (3D) grid of porosity and permeability, which are key parameters regarding fluid flow and pressure buildup due to CO{sub 2} injection. Permeability data were corrected in locations where reservoir tests have been performed in Mt. Simon injection wells. The final geocellular model covers an area of 600 km by 600 km centered on the Arches Province. The geocellular model includes a total of 24,500,000 cells representing estimated porosity and permeability distribution. CO{sub 2} injection scenarios were developed for on-site and regional injection fields at rates of 70 to 140 million metric tons per year.

  3. Rewriting Logic as a Unifying Framework for Petri Nets

    E-Print Network [OSTI]

    Meseguer, José

    Rewriting Logic as a Unifying Framework for Petri Nets Mark-Oliver Stehr, Jos#19;e Meseguer as a unifying framework for a wide range of Petri nets models. We treat in detail place/transition nets that \\Petri nets are monoids" suggested by Meseguer and Montanari we de#12;ne a rewriting semantics that maps

  4. Enterprise Risk Management Framework

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8, 2000ConsumptionInnovation PortalHanford Site WasteFramework The

  5. Modeling and analysis framework for core damage propagation during flow-blockage-initiated accidents in the Advanced Neutron Source Reactor at Oak Ridge National Laboratory

    SciTech Connect (OSTI)

    Kim, S.H.; Taleyarkhan, R.P.; Navarro-Valenti, S.; Georgevich, V.

    1995-09-01T23:59:59.000Z

    This paper describes modeling and analysis to evaluate the extent of core damage during flow blockage events in the Advanced Neutron Source (ANS) reactor planned to be built at the Oak Ridge National Laboratory (ORNL). Damage propagation is postulated to occur from thermal conduction between damaged and undamaged plates due to direct thermal contact. Such direct thermal contact may occur because of fuel plate swelling during fission product vapor release or plate buckling. Complex phenomena of damage propagation were modeled using a one-dimensional heat transfer model. A scoping study was conducted to learn what parameters are important for core damage propagation, and to obtain initial estimates of core melt mass for addressing recriticality and steam explosion events. The study included investigating the effects of the plate contact area, the convective heat transfer coefficient, thermal conductivity upon fuel swelling, and the initial temperature of the plate being contacted by the damaged plate. Also, the side support plates were modeled to account for their effects on damage propagation. The results provide useful insights into how various uncertain parameters affect damage propagation.

  6. A Process Reference Model for Reuse in Industrial Engineering: Enhancing the ISO/IEC 15504 Framework to Cope with Organizational Reuse Maturity

    E-Print Network [OSTI]

    Mössenböck, Hanspeter

    A Process Reference Model for Reuse in Industrial Engineering: Enhancing the ISO/IEC 15504 in industrial engineering for solution providers is more and more recognized as a key to economic success for reuse in industrial engineering. Based on an overview and the background of the GDES-Reuse improvement

  7. Homogenization of a catalyst layer model for periodically distributed pore geometries in PEM fuel cells

    E-Print Network [OSTI]

    Markus Schmuck; Peter Berg

    2012-04-30T23:59:59.000Z

    We formally derive an effective catalyst layer model comprising the reduction of oxygen for periodically distributed pore geometries. By assumption, the pores are completely filled with water and the surrounding walls consist of catalyst particles which are attached to an electron conducting microstructure. The macroscopic transport equations are established by a multi-scale approach, based on microscopic phenomena at the pore level, and serve as a first step toward future optimization of catalyst layer designs.

  8. Homogenization of a catalyst layer model for periodically distributed pore geometries in PEM fuel cells

    E-Print Network [OSTI]

    Schmuck, Markus

    2012-01-01T23:59:59.000Z

    We formally derive an effective catalyst layer model comprising the reduction of oxygen for periodically distributed pore geometries. By assumption, the pores are completely filled with water and the surrounding walls consist of catalyst particles which are attached to an electron conducting microstructure. The macroscopic transport equations are established by a multi-scale approach, based on microscopic phenomena at the pore level, and serve as a first step toward future optimization of catalyst layer designs.

  9. Global parameter optimization of Mather type plasma focus in the framework of the Gratton-Vargas two-dimensional snowplow model

    E-Print Network [OSTI]

    Auluck, S K H

    2014-01-01T23:59:59.000Z

    Dense Plasma Focus (DPF) is known to produce highly energetic ions, electrons and plasma environment which can be used for breeding of short-lived isotopes, plasma nanotechnology and other material processing applications. Commercial utilization of DPF in such areas would need a design tool which can be deployed in an automatic search for the best possible device configuration for a given application. The recently revisited [S K H Auluck, Physics of Plasmas 20, 112501 (2013)] Gratton-Vargas (GV) two-dimensional analytical snowplow model of plasma focus provides a numerical formula for dynamic inductance of a Mather type plasma focus fitted to thousands of automated computations, which enables construction of such design tool. This inductance formula is utilized in the present work to explore global optimization, based on first-principles optimality criteria, in a 4-dimensional parameter-subspace of the zero-resistance GV model. The optimization process is shown to reproduce the empirically observed constancy ...

  10. Application of linear multiple model predictive control (MMPC) framework towards dynamic maximazation of oxygen yield in an elevated-pressure air separation unit

    SciTech Connect (OSTI)

    Mahapatra, P.; Zitney, S.; Bequette, B. Wayne

    2012-01-01T23:59:59.000Z

    In a typical air separation unit (ASU) utilizing either a simple gaseous oxygen (GOX) cycle or a pumped liquid oxygen (PLOX) cycle, the flowrate of liquid nitrogen (LN2) stream connecting high-pressure and low-pressure ASU columns plays an important role in the total oxygen yield. It has been observed that this yield reaches a maximum at a certain optimal flowrate of LN2 stream. At nominal full-load operation, the flowrate of LN2 stream is maintained near this optimum value, whereas at part-load conditions this flowrate is typically modified in proportion with the load-change (oxygen demand) through a ratio/feed-forward controller. Due to nonlinearity in the entire ASU process, the ratio-modified LN2 flowrate does not guarantee an optimal oxygen yield at part-load conditions. This is further exacerbated when process disturbances in form of “cold-box” heat-leaks enter the system. To address this problem of dynamically maximizing the oxygen yield while the ASU undergoes a load-change and/or a process disturbance, a multiple model predictive control (MMPC) algorithm is proposed. This approach has been used in previous studies to handle large ramp-rates of oxygen demand posed by the gasifier in an IGCC plant. In this study, the proposed algorithm uses linear step-response “blackbox” models surrounding the operating points corresponding to maximum oxygen yield points at different loads. It has been shown that at any operating point of the ASU, the MMPC algorithm, through model-weight calculation based on plant measurements, naturally and continuously selects the dominant model(s) corresponding to the current plant state, while making control-move decisions that approach the maximum oxygen yield point. This dynamically facilitates less energy consumption in form of compressed feed-air compared to a simple ratio control during load-swings. In addition, since a linear optimization problem is solved at each time step, the approach involves much less computational cost compared to a firstprinciple based nonlinear MPC. Introduction

  11. Preparation of metal-triazolate frameworks

    DOE Patents [OSTI]

    Yaghi, Omar M; Uribe-Romo, Fernando J; Gandara-Barragan, Felipe; Britt, David K

    2014-10-07T23:59:59.000Z

    The disclosure provides for novel metal-triazolate frameworks, methods of use thereof, and devices comprising the frameworks thereof.

  12. Energy Sector Cybersecurity Framework Implementation Guidance

    Broader source: Energy.gov (indexed) [DOE]

    DRAFT FOR PUBLIC COMMENT SEPTEMBER, 2014 ENERGY SECTOR CYBERSECURITY FRAMEWORK IMPLEMENTATION GUIDANCE Energy Sector Cybersecurity Framework Implementation Guidance Table of...

  13. Sensitivity of North American agriculture to ENSO-based climate scenarios and their socio-economic consequences: Modeling in an integrated assessment framework

    SciTech Connect (OSTI)

    Rosenberg, N.J.; Izaurralde, R.C.; Brown, R.A.; Sands, R.D. [Pacific Northwest National Lab., Richland, WA (United States); Legler, D. [Florida State Univ., Tallahassee, FL (United States). Center for Ocean Atmosphere Prediction Studies; Srinivasan, R. [Texas A and M Univ., College Station, TX (United States). Blacklands Research Center; Tiscareno-Lopez, M.

    1997-09-01T23:59:59.000Z

    A group of Canadian, US and Mexican natural resource specialists, organized by the Pacific Northwest National Laboratory (PNNL) under its North American Energy, Environment and Economy (NA3E) Program, has applied a simulation modeling approach to estimating the impact of ENSO-driven climatic variations on the productivity of major crops grown in the three countries. Methodological development is described and results of the simulations presented in this report. EPIC (the Erosion Productivity Impact Calculator) was the agro-ecosystem model selected-for this study. EPIC uses a daily time step to simulate crop growth and yield, water use, runoff and soil erosion among other variables. The model was applied to a set of so-called representative farms parameterized through a specially-assembled Geographic Information System (GIS) to reflect the soils, topography, crop management and weather typical of the regions represented. Fifty one representative farms were developed for Canada, 66 for the US and 23 for Mexico. El Nino-Southern Oscillation (ENSO) scenarios for the EPIC simulations were created using the historic record of sea-surface temperature (SST) prevailing in the eastern tropical Pacific for the period October 1--September 30. Each year between 1960 and 1989 was thus assigned to an ENSO category or state. The ENSO states were defined as El Nino (EN, SST warmer than the long-term mean), Strong El Nino (SEN, much warmer), El Viejo (EV, cooler) and Neutral (within {+-}0.5 C of the long-term mean). Monthly means of temperature and precipitation were then calculated at each farm for the period 1960--1989 and the differences (or anomalies) between the means in Neutral years and EN, SEN and EV years determined. The average monthly anomalies for each ENSO state were then used to create new monthly statistics for each farm and ENSO-state combination. The adjusted monthly statistics characteristic of each ENSO state were then used to drive a stochastic-weather simulator that provided 30 years of daily-weather data needed to run EPIC. Maps and tables of the climate anomalies by farm show climatic conditions that differ considerably by region, season and ENSO state.

  14. Nuclear Safety Regulatory Framework

    Broader source: Energy.gov (indexed) [DOE]

    overall Nuclear Safety Policy & ESH Goals Safety Basis Review and Approval In the DOE governance model, contractors responsible for the facility develop the safety basis and...

  15. Radiation Damage in Nuclear Fuel for Advanced Burner Reactors: Modeling and Experimental Validation

    SciTech Connect (OSTI)

    Jensen, Niels Gronbech; Asta, Mark; Ozolins, Nigel Browning'Vidvuds; de Walle, Axel van; Wolverton, Christopher

    2011-12-29T23:59:59.000Z

    The consortium has completed its existence and we are here highlighting work and accomplishments. As outlined in the proposal, the objective of the work was to advance the theoretical understanding of advanced nuclear fuel materials (oxides) toward a comprehensive modeling strategy that incorporates the different relevant scales involved in radiation damage in oxide fuels. Approaching this we set out to investigate and develop a set of directions: 1) Fission fragment and ion trajectory studies through advanced molecular dynamics methods that allow for statistical multi-scale simulations. This work also includes an investigation of appropriate interatomic force fields useful for the energetic multi-scale phenomena of high energy collisions; 2) Studies of defect and gas bubble formation through electronic structure and Monte Carlo simulations; and 3) an experimental component for the characterization of materials such that comparisons can be obtained between theory and experiment.

  16. Assessment of Molecular Modeling & Simulation

    SciTech Connect (OSTI)

    None

    2002-01-03T23:59:59.000Z

    This report reviews the development and applications of molecular and materials modeling in Europe and Japan in comparison to those in the United States. Topics covered include computational quantum chemistry, molecular simulations by molecular dynamics and Monte Carlo methods, mesoscale modeling of material domains, molecular-structure/macroscale property correlations like QSARs and QSPRs, and related information technologies like informatics and special-purpose molecular-modeling computers. The panel's findings include the following: The United States leads this field in many scientific areas. However, Canada has particular strengths in DFT methods and homogeneous catalysis; Europe in heterogeneous catalysis, mesoscale, and materials modeling; and Japan in materials modeling and special-purpose computing. Major government-industry initiatives are underway in Europe and Japan, notably in multi-scale materials modeling and in development of chemistry-capable ab-initio molecular dynamics codes.

  17. Constraining the Influence of Natural Variability to Improve Estimates of Global Aerosol Indirect Effects in a Nudged Version of the Community Atmosphere Model 5

    SciTech Connect (OSTI)

    Kooperman, G. J.; Pritchard, M. S.; Ghan, Steven J.; Wang, Minghuai; Somerville, Richard C.; Russell, Lynn

    2012-12-11T23:59:59.000Z

    Natural modes of variability on many timescales influence aerosol particle distributions and cloud properties such that isolating statistically significant differences in cloud radiative forcing due to anthropogenic aerosol perturbations (indirect effects) typically requires integrating over long simulations. For state-of-the-art global climate models (GCM), especially those in which embedded cloud-resolving models replace conventional statistical parameterizations (i.e. multi-scale modeling framework, MMF), the required long integrations can be prohibitively expensive. Here an alternative approach is explored, which implements Newtonian relaxation (nudging) to constrain simulations with both pre-industrial and present-day aerosol emissions toward identical meteorological conditions, thus reducing differences in natural variability and dampening feedback responses in order to isolate radiative forcing. Ten-year GCM simulations with nudging provide a more stable estimate of the global-annual mean aerosol indirect radiative forcing than do conventional free-running simulations. The estimates have mean values and 95% confidence intervals of -1.54 ± 0.02 W/m2 and -1.63 ± 0.17 W/m2 for nudged and free-running simulations, respectively. Nudging also substantially increases the fraction of the world’s area in which a statistically significant aerosol indirect effect can be detected (68% and 25% of the Earth's surface for nudged and free-running simulations, respectively). One-year MMF simulations with and without nudging provide global-annual mean aerosol indirect radiative forcing estimates of -0.80 W/m2 and -0.56 W/m2, respectively. The one-year nudged results compare well with previous estimates from three-year free-running simulations (-0.77 W/m2), which showed the aerosol-cloud relationship to be in better agreement with observations and high-resolution models than in the results obtained with conventional parameterizations.

  18. An information modeling framework for process planning

    E-Print Network [OSTI]

    Atreya, Dinesh S.

    1993-01-01T23:59:59.000Z

    and manufacture and thus plays an important role in achieving CIM. Process Planning has been defined by the Society of Manufacturing Engineers as the systematic de- termination of methods by which a product is to be manufactured economically and competitively... Planning As defined earlier, process planning is the systematic determination of the methods by which a product is to be manufactured economically and competitively. Usually, process planning as well as operation planning involves a series of tasks...

  19. A Framework for Defining Logics 

    E-Print Network [OSTI]

    Plotkin, Gordon; Honsell, Furio; Harper, Robert

    1993-01-01T23:59:59.000Z

    The Edinburgh Logical Framework (LF) provides a means to define (or present) logics. It is based on a general treatment of syntax, rules, and proofs by means of a typed ?-calculus with dependent types. Syntax is treated ...

  20. MANCHESTER METROPOLITAN UNIVERSITY POLICY FRAMEWORK

    E-Print Network [OSTI]

    AND ACADEMIC SERVICES GOVERNANCE AND SECRETARIAT TEAM POLICY FRAMEWORK AND EQUALITY IMPACT ASSESSMENT (EIA date, date EIA approved, approval body and review date. Other points to consider include: Additional

  1. UC SECURITY FRAMEWORK 2011 -2012

    E-Print Network [OSTI]

    Hickman, Mark

    1 UC SECURITY FRAMEWORK 2011 - 2012 #12;2 Contents Background..................................................................................................................................4 About UC Security & Campus Community Support .................................................................5 Security Service Authority and Relationship with NZ Police and Emergency Services ...........5

  2. Sample Business Plan Framework 3

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy Better Buildings Neighborhood Program: Sample Business Plan Framework 1: A program seeking to continue operations in the post-grant period as a not-for-profit (NGO) entity.

  3. Sample Business Plan Framework 2

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy Better Buildings Neighborhood Program: Sample Business Plan Framework 1: A program seeking to continue operations in the post-grant period as a not-for-profit (NGO) entity.

  4. Sample Business Plan Framework 4

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy Better Buildings Neighborhood Program: Sample Business Plan Framework 1: A program seeking to continue operations in the post-grant period as a not-for-profit (NGO) entity.

  5. Sample Business Plan Framework 1

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy Better Buildings Neighborhood Program: Sample Business Plan Framework 1: A program seeking to continue operations in the post-grant period as a not-for-profit (NGO) entity.

  6. Exact entanglement renormalization for string-net models

    E-Print Network [OSTI]

    Robert Koenig; Ben W. Reichardt; Guifre Vidal

    2009-06-15T23:59:59.000Z

    We construct an explicit renormalization group (RG) transformation for Levin and Wen's string-net models on a hexagonal lattice. The transformation leaves invariant the ground-state "fixed-point" wave function of the string-net condensed phase. Our construction also produces an exact representation of the wave function in terms of the multi-scale entanglement renormalization ansatz (MERA). This sets the stage for efficient numerical simulations of string-net models using MERA algorithms. It also provides an explicit quantum circuit to prepare the string-net ground-state wave function using a quantum computer.

  7. State of Advancement of the International REVE Project: Computational Modelling of Irradiation-Induced Hardening in Reactor Pressure Vessel Steels and Relevant Experimental Validation Programme

    SciTech Connect (OSTI)

    Malerba, Lorenzo; Van Walle, Eric [SCK.CEN, Boeretang 200, 2400 Mol (Belgium); Domain, Christophe; Jumel, Stephanie; Van Duysen, Jean-Claude [EDR R and D (France)

    2002-07-01T23:59:59.000Z

    The REVE (Reactor for Virtual Experiments) project is an international joint effort aimed at developing multi-scale modelling computational toolboxes capable of simulating the behaviour of materials under irradiation at different time and length scales. Well grounded numerical techniques such as molecular dynamics (MD) and Monte Carlo (MC) algorithms, as well as rate equation (RE) and dislocation-defect interaction theory, form the basis on which the project is built. The goal is to put together a suite of integrated codes capable of deducing the changes in macroscopic properties starting from a detailed simulation of the microstructural changes produced by irradiation in materials. To achieve this objective, several European laboratories are closely collaborating, while exchanging data with American and Japanese laboratories currently pursuing similar approaches. The material chosen for the first phase of this project is reactor pressure vessel (RPV) steel, the target macroscopic magnitude to be predicted being the yield strength increase ({delta}{sigma}y) due, essentially, to irradiation-enhanced formation of intragranular solute atom precipitates or clouds, as well as irradiation induced defects in the matrix, such as point defect clusters and dislocation loops. A description of the methodological approach used in the project and its current state is given in the paper. The development of the simulation tools requires a continuous feedback from ad hoc experimental data. In the framework of the REVE project SCK EN has therefore performed a neutron irradiation campaign of model alloys of growing complexity (from pure Fe to binary and ternary systems and a real RPV steel) in the Belgian test reactor BR2 and is currently carrying on the subsequent materials characterisation using its hot cell facilities. The paper gives the details of this experimental programme - probably the first large-scale one devoted to the validation of numerical simulation tools - and presents and discusses the first available results, with a view to their use as feedback for the improvement of the computational modelling. (authors)

  8. Thermoelectric Activities of European Community within Framework...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    of European Community within Framework Programme 7 and additional activities in Germany Thermoelectric Activities of European Community within Framework Programme 7 and...

  9. International Framework for Nuclear Energy Cooperation (IFNEC...

    Energy Savers [EERE]

    International Framework for Nuclear Energy Cooperation (IFNEC) Expert meetings in Romania International Framework for Nuclear Energy Cooperation (IFNEC) Expert meetings in Romania...

  10. An Integrated Assessment Framework for Uncertainty Studies in Global and Regional Climate Change: The IGSM-CAM

    E-Print Network [OSTI]

    Monier, Erwan

    2012-06-18T23:59:59.000Z

    This paper describes an integrated assessment framework for uncertainty studies in global and regional climate change. In this framework, the Massachusetts Institute of Technology (MIT) Integrated Global System Model (IGSM), ...

  11. Knowledge Framework Implementation with Multiple Architectures - 13090

    SciTech Connect (OSTI)

    Upadhyay, H.; Lagos, L.; Quintero, W.; Shoffner, P. [Applied Research Center, Florida International University, Miami, FL 33174 (United States)] [Applied Research Center, Florida International University, Miami, FL 33174 (United States); DeGregory, J. [Office of D and D and Facility Engineering, Environmental Management, Department of Energy (United States)] [Office of D and D and Facility Engineering, Environmental Management, Department of Energy (United States)

    2013-07-01T23:59:59.000Z

    Multiple kinds of knowledge management systems are operational in public and private enterprises, large and small organizations with a variety of business models that make the design, implementation and operation of integrated knowledge systems very difficult. In recent days, there has been a sweeping advancement in the information technology area, leading to the development of sophisticated frameworks and architectures. These platforms need to be used for the development of integrated knowledge management systems which provides a common platform for sharing knowledge across the enterprise, thereby reducing the operational inefficiencies and delivering cost savings. This paper discusses the knowledge framework and architecture that can be used for the system development and its application to real life need of nuclear industry. A case study of deactivation and decommissioning (D and D) is discussed with the Knowledge Management Information Tool platform and framework. D and D work is a high priority activity across the Department of Energy (DOE) complex. Subject matter specialists (SMS) associated with DOE sites, the Energy Facility Contractors Group (EFCOG) and the D and D community have gained extensive knowledge and experience over the years in the cleanup of the legacy waste from the Manhattan Project. To prevent the D and D knowledge and expertise from being lost over time from the evolving and aging workforce, DOE and the Applied Research Center (ARC) at Florida International University (FIU) proposed to capture and maintain this valuable information in a universally available and easily usable system. (authors)

  12. UC DAVIS PHYSICAL DESIGN FRAMEWORK PHYSICAL DESIGN FRAMEWORK

    E-Print Network [OSTI]

    California at Davis, University of

    Campus Framework Strengthen the civic core 3.1 Amplify the bus/bike boulevard 3.2 Connect to the arboretum 3.3 Create identity for district centers 3.4 Connect campus entries to the greater community 3.5 4.2 Appendices 1 West Village Neighborhood Master Plan www.ormp.ucdavis.edu/environreview/lrdp.html#NMP 2 Bike

  13. Mapping the energy and diffusion landscapes of membrane proteins at the cell surface using high-density single-molecule imaging and Bayesian inference: application to the multi-scale dynamics of glycine receptors in the neuronal membrane

    E-Print Network [OSTI]

    Masson, Jean-Baptiste; Salvatico, Charlotte; Renner, Marianne; Specht, Christian G; Triller, Antoine; Dahan, Maxime

    2015-01-01T23:59:59.000Z

    Protein mobility is conventionally analyzed in terms of an effective diffusion. Yet, this description often fails to properly distinguish and evaluate the physical parameters (such as the membrane friction) and the biochemical interactions governing the motion. Here, we present a method combining high-density single-molecule imaging and statistical inference to separately map the diffusion and energy landscapes of membrane proteins across the cell surface at ~100 nm resolution (with acquisition of a few minutes). When applying these analytical tools to glycine neurotransmitter receptors (GlyRs) at inhibitory synapses, we find that gephyrin scaffolds act as shallow energy traps (~3 kBT) for GlyRs, with a depth modulated by the biochemical properties of the receptor-gephyrin interaction loop. In turn, the inferred maps can be used to simulate the dynamics of proteins in the membrane, from the level of individual receptors to that of the population, and thereby, to model the stochastic fluctuations of physiologi...

  14. Multiscale modeling for fluid transport in nanosystems.

    SciTech Connect (OSTI)

    Lee, Jonathan W.; Jones, Reese E.; Mandadapu, Kranthi Kiran; Templeton, Jeremy Alan; Zimmerman, Jonathan A.

    2013-09-01T23:59:59.000Z

    Atomistic-scale behavior drives performance in many micro- and nano-fluidic systems, such as mircrofludic mixers and electrical energy storage devices. Bringing this information into the traditionally continuum models used for engineering analysis has proved challenging. This work describes one such approach to address this issue by developing atomistic-to-continuum multi scale and multi physics methods to enable molecular dynamics (MD) representations of atoms to incorporated into continuum simulations. Coupling is achieved by imposing constraints based on fluxes of conserved quantities between the two regions described by one of these models. The impact of electric fields and surface charges are also critical, hence, methodologies to extend finite-element (FE) MD electric field solvers have been derived to account for these effects. Finally, the continuum description can have inconsistencies with the coarse-grained MD dynamics, so FE equations based on MD statistics were derived to facilitate the multi scale coupling. Examples are shown relevant to nanofluidic systems, such as pore flow, Couette flow, and electric double layer.

  15. UTS Policy Framework: Introduction 11.

    E-Print Network [OSTI]

    University of Technology, Sydney

    UTS Policy Framework: user guide Contents Introduction 11. TheroleofpolicywithintheUniversity 12 Policytemplate 64kbWord Directivetemplate 64kbWord Coversheets Coversheet--policies 48kbWord Coversheet--academicpolicies 48kbWord Coversheet--directives 48kbWord Policy Tools PolicyTool1:IssuesLog 60kbWord PolicyTool2

  16. Developing a Regional Recovery Framework

    SciTech Connect (OSTI)

    Lesperance, Ann M.; Olson, Jarrod; Stein, Steven L.; Clark, Rebecca; Kelly, Heather; Sheline, Jim; Tietje, Grant; Williamson, Mark; Woodcock, Jody

    2011-09-01T23:59:59.000Z

    Abstract A biological attack would present an unprecedented challenge for local, state, and federal agencies; the military; the private sector; and individuals on many fronts ranging from vaccination and treatment to prioritization of cleanup actions to waste disposal. To prepare the Seattle region to recover from a biological attack, the Seattle Urban Area Security Initiative (UASI) partners collaborated with military and federal agencies to develop a Regional Recovery Framework for a Biological Attack in the Seattle Urban Area. The goal was to reduce the time and resources required to recover and restore wide urban areas, military installations, and other critical infrastructure following a biological incident by providing a coordinated systems approach. Based on discussions in small workshops, tabletop exercises, and interviews with emergency response agency staff, the partners identified concepts of operation for various areas to address critical issues the region will face as recovery progresses. Key to this recovery is the recovery of the economy. Although the Framework is specific to a catastrophic, wide-area biological attack using anthrax, it was designed to be flexible and scalable so it could also serve as the recovery framework for an all-hazards approach. The Framework also served to coalesce policy questions that must be addressed for long-term recovery. These questions cover such areas as safety and health, security, financial management, waste management, legal issues, and economic development.

  17. Information Technology Security Assessment Framework

    E-Print Network [OSTI]

    Federal Information Technology Security Assessment Framework November 28, 2000 Prepared (NIST) Computer Security Division #12;Overview Information and the systems that process it are among and maintain a program to adequately secure its information and system assets. Agency programs must: 1) assure

  18. SCALING AN URBAN EMERGENCY EVACUATION FRAMEWORK: CHALLENGES AND PRACTICES

    SciTech Connect (OSTI)

    Karthik, Rajasekar [ORNL; Lu, Wei [ORNL

    2014-01-01T23:59:59.000Z

    Critical infrastructure disruption, caused by severe weather events, natural disasters, terrorist attacks, etc., has significant impacts on urban transportation systems. We built a computational framework to simulate urban transportation systems under critical infrastructure disruption in order to aid real-time emergency evacuation. This framework will use large scale datasets to provide a scalable tool for emergency planning and management. Our framework, World-Wide Emergency Evacuation (WWEE), integrates population distribution and urban infrastructure networks to model travel demand in emergency situations at global level. Also, a computational model of agent-based traffic simulation is used to provide an optimal evacuation plan for traffic operation purpose [1]. In addition, our framework provides a web-based high resolution visualization tool for emergency evacuation modelers and practitioners. We have successfully tested our framework with scenarios in both United States (Alexandria, VA) and Europe (Berlin, Germany) [2]. However, there are still some major drawbacks for scaling this framework to handle big data workloads in real time. On our back-end, lack of proper infrastructure limits us in ability to process large amounts of data, run the simulation efficiently and quickly, and provide fast retrieval and serving of data. On the front-end, the visualization performance of microscopic evacuation results is still not efficient enough due to high volume data communication between server and client. We are addressing these drawbacks by using cloud computing and next-generation web technologies, namely Node.js, NoSQL, WebGL, Open Layers 3 and HTML5 technologies. We will describe briefly about each one and how we are using and leveraging these technologies to provide an efficient tool for emergency management organizations. Our early experimentation demonstrates that using above technologies is a promising approach to build a scalable and high performance urban emergency evacuation framework that can improve traffic mobility and safety under critical infrastructure disruption in today s socially connected world.

  19. The impact of including water constraints on food production within a CGE framework

    E-Print Network [OSTI]

    Baker, Jonathan (Jonathan Early)

    2011-01-01T23:59:59.000Z

    This research explores the long-term relationship between water resources, irrigated land use change and crop production within a computable general equilibrium modeling framework. The modeling approach is developed on a ...

  20. A FRAMEWORK TO DESIGN AND OPTIMIZE CHEMICAL FLOODING PROCESSES

    SciTech Connect (OSTI)

    Mojdeh Delshad; Gary A. Pope; Kamy Sepehrnoori

    2005-07-01T23:59:59.000Z

    The goal of this proposed research is to provide an efficient and user friendly simulation framework for screening and optimizing chemical/microbial enhanced oil recovery processes. The framework will include (1) a user friendly interface to identify the variables that have the most impact on oil recovery using the concept of experimental design and response surface maps, (2) UTCHEM reservoir simulator to perform the numerical simulations, and (3) an economic model that automatically imports the simulation production data to evaluate the profitability of a particular design. Such a reservoir simulation framework is not currently available to the oil industry. The objectives of Task 1 are to develop three primary modules representing reservoir, chemical, and well data. The modules will be interfaced with an already available experimental design model. The objective of the Task 2 is to incorporate UTCHEM reservoir simulator and the modules with the strategic variables and developing the response surface maps to identify the significant variables from each module. The objective of the Task 3 is to develop the economic model designed specifically for the chemical processes targeted in this proposal and interface the economic model with UTCHEM production output. Task 4 is on the validation of the framework and performing simulations of oil reservoirs to screen, design and optimize the chemical processes.

  1. Wavelet Network for Nonlinear Regression using Probabilistic Framework

    E-Print Network [OSTI]

    Wong, Kenneth K.Y.

    network (wavenet) is proposed in this paper. Under this framework, the weights in the wavenet the number of hidden nodes can be infinite initially. 2 Probabilistic Wavenet As described in previous section, the proposed probabilistic wavenet aims at modeling the nonlinear function or the series of input

  2. A Generic Auto-Provisioning Framework for Cloud Databases

    E-Print Network [OSTI]

    's operational cost, estimated based on the IaaS provider's pricing model, while sat- isfying QoS expectations to avoid up-front capital expenses and reduce cost of ownership over time. DBMSs are good candidates framework that identifies a collection of minimum-cost infrastructure resources (i.e., a set of po

  3. A Framework for Flexible Access Control in Digital Library Systems

    E-Print Network [OSTI]

    Ray, Indrajit

    A Framework for Flexible Access Control in Digital Library Systems Indrajit Ray and Sudip. Traditional access control models are often found to be inadequate for digital libraries. This is because the user population for digital libraries is very dynamic and not completely known in advance. In addition

  4. (UR-16) Integrated Framework for Lifecycle Infrastructure Management Systems

    E-Print Network [OSTI]

    Hammad, Amin

    1 (UR-16) Integrated Framework for Lifecycle Infrastructure Management Systems Cheng Zhang1 Elaheh throughout the lifecycle of an infrastructure system, such as a bridge, including construction, inspection only limited support for representing and visualizing this information. Using a 4D product model

  5. A FRAMEWORK TO DESIGN AND OPTIMIZE CHEMICAL FLOODING PROCESSES

    SciTech Connect (OSTI)

    Mojdeh Delshad; Gary A. Pope; Kamy Sepehrnoori

    2004-11-01T23:59:59.000Z

    The goal of this proposed research is to provide an efficient and user friendly simulation framework for screening and optimizing chemical/microbial enhanced oil recovery processes. The framework will include (1) a user friendly interface to identify the variables that have the most impact on oil recovery using the concept of experimental design and response surface maps, (2) UTCHEM reservoir simulator to perform the numerical simulations, and (3) an economic model that automatically imports the simulation production data to evaluate the profitability of a particular design. Such a reservoir simulation framework is not currently available to the oil industry. The objectives of Task 1 are to develop three primary modules representing reservoir, chemical, and well data. The modules will be interfaced with an already available experimental design model. The objective of the Task 2 is to incorporate UTCHEM reservoir simulator and the modules with the strategic variables and developing the response surface maps to identify the significant variables from each module. The objective of the Task 3 is to develop the economic model designed specifically for the chemical processes targeted in this proposal and interface the economic model with UTCHEM production output. Task 4 is on the validation of the framework and performing simulations of oil reservoirs to screen, design and optimize the chemical processes.

  6. Development of long-term performance models for radioactive waste forms

    SciTech Connect (OSTI)

    Bacon, Diana H.; Pierce, Eric M.

    2011-03-22T23:59:59.000Z

    The long-term performance of solid radioactive waste is measured by the release rate of radionuclides into the environment, which depends on corrosion or weathering rates of the solid waste form. The reactions involved depend on the characteristics of the solid matrix containing the radioactive waste, the radionuclides of interest, and their interaction with surrounding geologic materials. This chapter describes thermo-hydro-mechanical and reactive transport models related to the long-term performance of solid radioactive waste forms, including metal, ceramic, glass, steam reformer and cement. Future trends involving Monte-Carlo simulations and coupled/multi-scale process modeling are also discussed.

  7. Gas adsorption on metal-organic frameworks

    DOE Patents [OSTI]

    Willis, Richard R. (Cary, IL); Low, John J. (Schaumburg, IL), Faheem, Syed A. (Huntley, IL); Benin, Annabelle I. (Oak Forest, IL); Snurr, Randall Q. (Evanston, IL); Yazaydin, Ahmet Ozgur (Evanston, IL)

    2012-07-24T23:59:59.000Z

    The present invention involves the use of certain metal organic frameworks that have been treated with water or another metal titrant in the storage of carbon dioxide. The capacity of these frameworks is significantly increased through this treatment.

  8. Technology Enhanced Interaction Framework Kewalin Angkananon

    E-Print Network [OSTI]

    Technology Enhanced Interaction Framework Kewalin Angkananon ECS University of Southampton interaction framework to help design technology to support communication between people and improve interactions between people, technology and objects, particularly in complex situations. A review of existing

  9. Feature identification framework and applications (FIFA)

    E-Print Network [OSTI]

    Audenaert, Michael Neal

    2006-04-12T23:59:59.000Z

    collections that provides a general framework for applications while allowing decisions about the details of document representation and features identification to be deferred to domain specific implementations of that framework. These deferred decisions...

  10. Synthesizing framework uses from program behavior data

    E-Print Network [OSTI]

    Xu, Zhilei

    2011-01-01T23:59:59.000Z

    This thesis presents MATCHMAKER, a new synthesis tool that aims to help programmers use software frameworks by synthesizing source code needed to interact with the framework. Software engineers of today are constantly faced ...

  11. Integrating Learning in a Multi-Scale Agent

    E-Print Network [OSTI]

    Weber, Ben

    2012-01-01T23:59:59.000Z

    P. Mahindrakar, M. A. G´ mez-Mart´ K. Long, J. Rad- n o oPalma, P. A. Gonz´ lez-Calero, M. A. G´ mez-Mart?n, and P.P. G´ mez-Mart?n. a o o Extending Case-Based Planning with

  12. Multi-scale scratching in chemical-mechanical polishing

    E-Print Network [OSTI]

    Eusner, Thor

    2010-01-01T23:59:59.000Z

    In the fabrication of ultra-large-scale integrated (ULSI) semiconductor devices, the chemical-mechanical polishing (CMP) process is extensively employed. During the CMP process, undesirable scratches are produced on Cu ...

  13. Sustainable Manufacturing via Multi-Scale, Physics-Based Process...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    present opportunities to improve casting, forging, stamping, extrusion, assembly, and additive manufacturing processes. The U.S. manufacturing supply base will benefit from...

  14. Integrating Learning in a Multi-Scale Agent

    E-Print Network [OSTI]

    Weber, Ben

    2012-01-01T23:59:59.000Z

    with n Minimal Additional Knowledge Engineering Required. Inis a form of knowledge engineering, where the types ofhuge amount of knowledge engineering. One of the limitations

  15. Multi-Scale, Sustainable Reaction Engineering - A New Departmental Initiative

    E-Print Network [OSTI]

    Dennis, John

    2008-07-29T23:59:59.000Z

    Scale-Up THEORY AND EXPERIMENT in CFBC SCALE-UP Observations inside a fluidised bed using Magnetic Resonance Prediction from our recently developed computer code Müller, Dennis, et al. (2006). Phys. Rev. Letters, 96, 15404-1 to 15404-4. Circulating... . Gladden, M. Johns et al. Trickle Bed - Product Invention trickle flow regime pulsing flow regime transition regime gas velocity constant at 112.4 mm/s liquid velocity = 1.4 mm/s 8.4 mm/s 13.3 mm/s Hydrodynamic transition from trickle to pulsing flow...

  16. Affine Invariant Pattern Recognition Using Multi-Scale Autoconvolution

    E-Print Network [OSTI]

    Salo, Mikko

    is with the Rolf Nevanlinna Institute, Department of Mathemathics and Statistics, University of Helsinki. P.O. Box

  17. REDUNDANT IMAGE REPRESENTATION VIA MULTI-SCALE DIGITAL RADON PROJECTIONS

    E-Print Network [OSTI]

    Autrusseau, Florent

    Chantrerie, 44306 Nantes Cedex 3, FRANCE. Department of Applied Mathemathics, RSPhySE, The Australian

  18. Fast Decentralized Averaging via Multi-Scale Gossip

    E-Print Network [OSTI]

    1 McGill University, Department of Electrical and Computer Engineering Montreal, QC, Canada, konstantinos.tsianos@gmail.com 2 McGill University, Department of Electrical and Computer Engineering Montreal often demand that nodes cooperatively accom- plish a task without centralized coordination. Autonomy

  19. Multi-Scale Characterization of Improved Algae Strains

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment3311,OfficialProductsUptake andUserBattelle for theDepartmentSlide 1

  20. Technical Report No. 480 CE: The Classi er Estimator Framework for Data mining

    E-Print Network [OSTI]

    Dalkilic, Mehmet

    Technical Report No. 480 CE: The Classi er Estimator Framework for Data mining Mehmet M. Dalkilic a coherent framework for data mining in the relational model. Observing that data mining depends on two. The classi er indicates the target of the data mining investigation. The classi er may be di cult to express

  1. Framework for SCADA Security Policy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport inEnergy0.pdf Flash2010-60.pdf2 DOE March, 2015 TechnologyFramework for SCADA

  2. Synthesis and Properties of Nano Zeolitic Imidazolate Frameworks...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Properties of Nano Zeolitic Imidazolate Frameworks. Synthesis and Properties of Nano Zeolitic Imidazolate Frameworks. Abstract: Nano sized zeolitic imidazolate frameworks nZIF-8...

  3. The OME Framework for genome-scale systems biology

    SciTech Connect (OSTI)

    Palsson, Bernhard O.; Ebrahim, Ali; Federowicz, Steve

    2014-12-19T23:59:59.000Z

    The life sciences are undergoing continuous and accelerating integration with computational and engineering sciences. The biology that many in the field have been trained on may be hardly recognizable in ten to twenty years. One of the major drivers for this transformation is the blistering pace of advancements in DNA sequencing and synthesis. These advances have resulted in unprecedented amounts of new data, information, and knowledge. Many software tools have been developed to deal with aspects of this transformation and each is sorely needed [1-3]. However, few of these tools have been forced to deal with the full complexity of genome-scale models along with high throughput genome- scale data. This particular situation represents a unique challenge, as it is simultaneously necessary to deal with the vast breadth of genome-scale models and the dizzying depth of high-throughput datasets. It has been observed time and again that as the pace of data generation continues to accelerate, the pace of analysis significantly lags behind [4]. It is also evident that, given the plethora of databases and software efforts [5-12], it is still a significant challenge to work with genome-scale metabolic models, let alone next-generation whole cell models [13-15]. We work at the forefront of model creation and systems scale data generation [16-18]. The OME Framework was borne out of a practical need to enable genome-scale modeling and data analysis under a unified framework to drive the next generation of genome-scale biological models. Here we present the OME Framework. It exists as a set of Python classes. However, we want to emphasize the importance of the underlying design as an addition to the discussions on specifications of a digital cell. A great deal of work and valuable progress has been made by a number of communities [13, 19-24] towards interchange formats and implementations designed to achieve similar goals. While many software tools exist for handling genome-scale metabolic models or for genome-scale data analysis, no implementations exist that explicitly handle data and models concurrently. The OME Framework structures data in a connected loop with models and the components those models are composed of. This results in the first full, practical implementation of a framework that can enable genome-scale design-build-test. Over the coming years many more software packages will be developed and tools will necessarily change. However, we hope that the underlying designs shared here can help to inform the design of future software.

  4. Simulation framework for intelligent transportation systems

    SciTech Connect (OSTI)

    Ewing, T.; Doss, E.; Hanebutte, U.; Tentner, A.

    1996-10-01T23:59:59.000Z

    A simulation framework has been developed for a large-scale, comprehensive, scaleable simulation of an Intelligent Transportation System (ITS). The simulator is designed for running on parallel computers and distributed (networked) computer systems, but can run on standalone workstations for smaller simulations. The simulator currently models instrumented smart vehicles with in-vehicle navigation units capable of optimal route planning and Traffic Management Centers (TMC). The TMC has probe vehicle tracking capabilities (display position and attributes of instrumented vehicles), and can provide two-way interaction with traffic to provide advisories and link times. Both the in-vehicle navigation module and the TMC feature detailed graphical user interfaces to support human-factors studies. Realistic modeling of variations of the posted driving speed are based on human factors studies that take into consideration weather, road conditions, driver personality and behavior, and vehicle type. The prototype has been developed on a distributed system of networked UNIX computers but is designed to run on parallel computers, such as ANL`s IBM SP-2, for large-scale problems. A novel feature of the approach is that vehicles are represented by autonomous computer processes which exchange messages with other processes. The vehicles have a behavior model which governs route selection and driving behavior, and can react to external traffic events much like real vehicles. With this approach, the simulation is scaleable to take advantage of emerging massively parallel processor (MPP) systems.

  5. Data Assimilation Tools for CO2 Reservoir Model Development – A Review of Key Data Types, Analyses, and Selected Software

    SciTech Connect (OSTI)

    Rockhold, Mark L.; Sullivan, E. C.; Murray, Christopher J.; Last, George V.; Black, Gary D.

    2009-09-30T23:59:59.000Z

    Pacific Northwest National Laboratory (PNNL) has embarked on an initiative to develop world-class capabilities for performing experimental and computational analyses associated with geologic sequestration of carbon dioxide. The ultimate goal of this initiative is to provide science-based solutions for helping to mitigate the adverse effects of greenhouse gas emissions. This Laboratory-Directed Research and Development (LDRD) initiative currently has two primary focus areas—advanced experimental methods and computational analysis. The experimental methods focus area involves the development of new experimental capabilities, supported in part by the U.S. Department of Energy’s (DOE) Environmental Molecular Science Laboratory (EMSL) housed at PNNL, for quantifying mineral reaction kinetics with CO2 under high temperature and pressure (supercritical) conditions. The computational analysis focus area involves numerical simulation of coupled, multi-scale processes associated with CO2 sequestration in geologic media, and the development of software to facilitate building and parameterizing conceptual and numerical models of subsurface reservoirs that represent geologic repositories for injected CO2. This report describes work in support of the computational analysis focus area. The computational analysis focus area currently consists of several collaborative research projects. These are all geared towards the development and application of conceptual and numerical models for geologic sequestration of CO2. The software being developed for this focus area is referred to as the Geologic Sequestration Software Suite or GS3. A wiki-based software framework is being developed to support GS3. This report summarizes work performed in FY09 on one of the LDRD projects in the computational analysis focus area. The title of this project is Data Assimilation Tools for CO2 Reservoir Model Development. Some key objectives of this project in FY09 were to assess the current state-of-the-art in reservoir model development, the data types and analyses that need to be performed in order to develop and parameterize credible and robust reservoir simulation models, and to review existing software that is applicable to these analyses. This report describes this effort and highlights areas in which additional software development, wiki application extensions, or related GS3 infrastructure development may be warranted.

  6. A surety engineering framework to reduce cognitive systems risks.

    SciTech Connect (OSTI)

    Caudell, Thomas P. (University of New Mexico, Albuquerque, NM); Peercy, David Eugene; Caldera, Eva O. (University of New Mexico, Albuquerque, NM); Shaneyfelt, Wendy L.

    2008-12-01T23:59:59.000Z

    Cognitive science research investigates the advancement of human cognition and neuroscience capabilities. Addressing risks associated with these advancements can counter potential program failures, legal and ethical issues, constraints to scientific research, and product vulnerabilities. Survey results, focus group discussions, cognitive science experts, and surety researchers concur technical risks exist that could impact cognitive science research in areas such as medicine, privacy, human enhancement, law and policy, military applications, and national security (SAND2006-6895). This SAND report documents a surety engineering framework and a process for identifying cognitive system technical, ethical, legal and societal risks and applying appropriate surety methods to reduce such risks. The framework consists of several models: Specification, Design, Evaluation, Risk, and Maturity. Two detailed case studies are included to illustrate the use of the process and framework. Several Appendices provide detailed information on existing cognitive system architectures; ethical, legal, and societal risk research; surety methods and technologies; and educing information research with a case study vignette. The process and framework provide a model for how cognitive systems research and full-scale product development can apply surety engineering to reduce perceived and actual risks.

  7. Integrating Building Information Modeling with Object-Oriented Physical Modeling for Building Thermal Simulation

    E-Print Network [OSTI]

    Jeong, Woon Seong

    2014-09-05T23:59:59.000Z

    the framework, and (2) the model manually created using Lawrence Berkeley National Laboratory’s Modelica Buildings library. The results show that the framework: (1) enables BIM models to be translated into ModelicaBEM models, (2) enables system interface...

  8. Exponential scaling limit of the single-particle Anderson model via adaptive feedback scaling

    E-Print Network [OSTI]

    Victor Chulaevsky

    2015-03-09T23:59:59.000Z

    We propose a reformulation of the bootstrap version of the Multi-Scale Analysis (BMSA), developed by Germinet and Klein, to make explicit the fact that BMSA implies asymptotically exponential decay of eigenfunctions (EFs) and of EF correlators (EFCs), in the lattice Anderson models with diagonal disorder, viz. with an IID random potential. We also show that the exponential scaling limit of EFs and EFCs holds true for a class of marginal distributions of the random potential with regularity lower than H\\"older continuity of any positive order.

  9. Linking Stochastic Dynamics to Population Distribution: An Analytical Framework of Gene Expression

    E-Print Network [OSTI]

    Xie, Xiaoliang Sunney

    expression. (a) Kinetic schLinking Stochastic Dynamics to Population Distribution: An Analytical Framework of Gene Expression propagation in a simple genetic network. This model allows for the extraction of kinetic parameters of gene

  10. A Global Land System Framework for Integrated Climate-Change Assessments

    E-Print Network [OSTI]

    Schlosser, C. Adam

    Land ecosystems play a major role in the global cycles of energy, water, carbon and nutrients. A Global Land System (GLS) framework has been developed for the Integrated Global Systems Model Version 2 (IGSM2) to simulate ...

  11. Power transmission investment analysis: a new financial Evaluation framework for South Africa

    SciTech Connect (OSTI)

    Maboke, Silky Ntombifuthi; Kachienga, Michael Ogembo

    2008-05-15T23:59:59.000Z

    A proposed framework for power transmission expansion projects in South Africa incorporates the modeling of project options and uncertainties, Monte Carlo simulations, real option analysis, and decision analysis, based on a foundation of strategic analysis. (author)

  12. 25/03/2011 Workshop on ns-3 2011 SAFE: Simulation Automation Framework for

    E-Print Network [OSTI]

    Perrone, Luiz Felipe

    ) EEM (server) Experiment (XML) Database Backend Database Access API Simulation Client ns-3 Run length on the Twisted network programming framework. 14 Model (XML) EEM (server) Experiment (XML) Database Backend

  13. A statistical learning framework for data mining of large-scale systems : algorithms, implementation, and applications

    E-Print Network [OSTI]

    Tsou, Ching-Huei, 1973-

    2007-01-01T23:59:59.000Z

    A machine learning framework is presented that supports data mining and statistical modeling of systems that are monitored by large-scale sensor networks. The proposed algorithm is novel in that it takes both observations ...

  14. A Framework for Comparative Assessments of Energy Efficiency Policy Measures

    SciTech Connect (OSTI)

    Blum, Helcio; Atkinson, Barbara; Lekov, Alex

    2011-05-24T23:59:59.000Z

    When policy makers propose new policies, there is a need to assess the costs and benefits of the proposed policy measures, to compare them to existing and alternative policies, and to rank them according to their effectiveness. In the case of equipment energy efficiency regulations, comparing the effects of a range of alternative policy measures requires evaluating their effects on consumers’ budgets, on national energy consumption and economics, and on the environment. Such an approach should be able to represent in a single framework the particularities of each policy measure and provide comparable results. This report presents an integrated methodological framework to assess prospectively the energy, economic, and environmental impacts of energy efficiency policy measures. The framework builds on the premise that the comparative assessment of energy efficiency policy measures should (a) rely on a common set of primary data and parameters, (b) follow a single functional approach to estimate the energy, economic, and emissions savings resulting from each assessed measure, and (c) present results through a set of comparable indicators. This framework elaborates on models that the U.S. Department of Energy (DOE) has used in support of its rulemakings on mandatory energy efficiency standards. In addition to a rigorous analysis of the impacts of mandatory standards, DOE compares the projected results of alternative policy measures to those projected to be achieved by the standards. The framework extends such an approach to provide a broad, generic methodology, with no geographic or sectoral limitations, that is useful for evaluating any type of equipment energy efficiency market intervention. The report concludes with a demonstration of how to use the framework to compare the impacts estimated for twelve policy measures focusing on increasing the energy efficiency of gas furnaces in the United States.

  15. Developpement WebFrameworks AJAX Developpement Web

    E-Print Network [OSTI]

    Richer, Jean-Michel

    D´eveloppement WebFrameworks AJAX D´eveloppement Web Frameworks AJAX Jean-Michel Richer jean-michel.richer@univ-angers.fr http://www.info.univ-angers.fr/pub/richer 2009 1 / 27 #12;D´eveloppement WebFrameworks AJAX Objectif d´eveloppement Web et augmenter l'interactivit´e avec l'utilisateur 2 / 27 #12;D´eveloppement Web

  16. Initial Risk Analysis and Decision Making Framework

    SciTech Connect (OSTI)

    Engel, David W.

    2012-02-01T23:59:59.000Z

    Commercialization of new carbon capture simulation initiative (CCSI) technology will include two key elements of risk management, namely, technical risk (will process and plant performance be effective, safe, and reliable) and enterprise risk (can project losses and costs be controlled within the constraints of market demand to maintain profitability and investor confidence). Both of these elements of risk are incorporated into the risk analysis subtask of Task 7. Thus far, this subtask has developed a prototype demonstration tool that quantifies risk based on the expected profitability of expenditures when retrofitting carbon capture technology on a stylized 650 MW pulverized coal electric power generator. The prototype is based on the selection of specific technical and financial factors believed to be important determinants of the expected profitability of carbon capture, subject to uncertainty. The uncertainty surrounding the technical performance and financial variables selected thus far is propagated in a model that calculates the expected profitability of investments in carbon capture and measures risk in terms of variability in expected net returns from these investments. Given the preliminary nature of the results of this prototype, additional work is required to expand the scope of the model to include additional risk factors, additional information on extant and proposed risk factors, the results of a qualitative risk factor elicitation process, and feedback from utilities and other interested parties involved in the carbon capture project. Additional information on proposed distributions of these risk factors will be integrated into a commercial implementation framework for the purpose of a comparative technology investment analysis.

  17. A Surrogate Management Framework Using Rigorous Trust ...

    E-Print Network [OSTI]

    2011-03-24T23:59:59.000Z

    Mar 24, 2011 ... gate management frameworks, both in algorithmic design and in the ... Part of this work was developed while this author was visiting.

  18. Energy Sector Cybersecurity Framework Implementation Guidance...

    Broader source: Energy.gov (indexed) [DOE]

    Technology (NIST) released a Cybersecurity Framework. DOE has collaborated with private sector stakeholders through the Electricity Subsector Coordinating Council (ESCC) and the...

  19. Draft Energy Sector Cybersecurity Framework Implementation Guidance...

    Broader source: Energy.gov (indexed) [DOE]

    Technology (NIST) released a Cybersecurity Framework. DOE has collaborated with private sector stakeholders through the Electricity Subsector Coordinating Council (ESCC) and the...

  20. Gas sensor incorporating a porous framework

    DOE Patents [OSTI]

    Yaghi, Omar M.; Czaja, Alexander U.; Wang, Bo; Furukawa, Hiroyasu; Galatsis, Kosmas; Wang, Kang L.

    2013-07-09T23:59:59.000Z

    The disclosure provides sensor for gas sensing including CO.sub.2 gas sensors comprising a porous framework sensing area for binding an analyte gas.

  1. A Robust Optimization Framework for Analyzing Distribution ...

    E-Print Network [OSTI]

    2006-02-07T23:59:59.000Z

    a distribution system. We demonstrate that our proposed robust optimization framework is analyt- ically tractable and is computationally efficient for analyzing

  2. Energy Sector Cybersecurity Framework Implementation Guidance

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    JANUARY 2015 ENERGY SECTOR CYBERSECURITY FRAMEWORK IMPLEMENTATION GUIDANCE U.S. DEPARTMENT OF ENERGY OFFICE OF ELECTRICITY DELIVERY AND ENERGY RELIABILITY Energy Sector...

  3. A Conceptual Framework for Progressing Towards Sustainability...

    Open Energy Info (EERE)

    Progressing Towards Sustainability in the Agriculture and Food Sector Jump to: navigation, search Tool Summary LAUNCH TOOL Name: A Conceptual Framework for Progressing Towards...

  4. Preparation of metal-catecholate frameworks

    SciTech Connect (OSTI)

    Yaghi, Omar M.; Gandara-Barragan, Felipe; Lu, Zheng; Wan, Shun

    2014-06-03T23:59:59.000Z

    The disclosure provides for metal catecholate frameworks, and methods of use thereof, including gas separation, gas storage, catalysis, tunable conductors, supercapacitors, and sensors.

  5. Gas sensor incorporating a porous framework

    DOE Patents [OSTI]

    Yaghi, Omar M; Czaja, Alexander U; Wang, Bo; Galatsis, Kosmas; Wang, Kang L; Furukawa, Hiroyasu

    2014-05-27T23:59:59.000Z

    The disclosure provides sensor for gas sensing including CO.sub.2 gas sensors comprising a porous framework sensing area for binding an analyte gas.

  6. Demand Response Valuation Frameworks Paper

    SciTech Connect (OSTI)

    Heffner, Grayson

    2009-02-01T23:59:59.000Z

    While there is general agreement that demand response (DR) is a valued component in a utility resource plan, there is a lack of consensus regarding how to value DR. Establishing the value of DR is a prerequisite to determining how much and what types of DR should be implemented, to which customers DR should be targeted, and a key determinant that drives the development of economically viable DR consumer technology. Most approaches for quantifying the value of DR focus on changes in utility system revenue requirements based on resource plans with and without DR. This ''utility centric'' approach does not assign any value to DR impacts that lower energy and capacity prices, improve reliability, lower system and network operating costs, produce better air quality, and provide improved customer choice and control. Proper valuation of these benefits requires a different basis for monetization. The review concludes that no single methodology today adequately captures the wide range of benefits and value potentially attributed to DR. To provide a more comprehensive valuation approach, current methods such as the Standard Practice Method (SPM) will most likely have to be supplemented with one or more alternative benefit-valuation approaches. This report provides an updated perspective on the DR valuation framework. It includes an introduction and four chapters that address the key elements of demand response valuation, a comprehensive literature review, and specific research recommendations.

  7. Argonne simulation framework for intelligent transportation systems

    SciTech Connect (OSTI)

    Ewing, T.; Doss, E.; Hanebutte, U.; Canfield, T.; Brown-VanHoozer, A.; Tentner, A.

    1996-04-01T23:59:59.000Z

    A simulation framework has been developed which defines a high-level architecture for a large-scale, comprehensive, scalable simulation of an Intelligent Transportation System (ITS). The simulator is designed to run on parallel computers and distributed (networked) computer systems; however, a version for a stand alone workstation is also available. The ITS simulator includes an Expert Driver Model (EDM) of instrumented ``smart`` vehicles with in-vehicle navigation units. The EDM is capable of performing optimal route planning and communicating with Traffic Management Centers (TMC). A dynamic road map data base is sued for optimum route planning, where the data is updated periodically to reflect any changes in road or weather conditions. The TMC has probe vehicle tracking capabilities (display position and attributes of instrumented vehicles), and can provide 2-way interaction with traffic to provide advisories and link times. Both the in-vehicle navigation module and the TMC feature detailed graphical user interfaces that includes human-factors studies to support safety and operational research. Realistic modeling of variations of the posted driving speed are based on human factor studies that take into consideration weather, road conditions, driver`s personality and behavior and vehicle type. The simulator has been developed on a distributed system of networked UNIX computers, but is designed to run on ANL`s IBM SP-X parallel computer system for large scale problems. A novel feature of the developed simulator is that vehicles will be represented by autonomous computer processes, each with a behavior model which performs independent route selection and reacts to external traffic events much like real vehicles. Vehicle processes interact with each other and with ITS components by exchanging messages. With this approach, one will be able to take advantage of emerging massively parallel processor (MPP) systems.

  8. Cellular Energy Efficiency Evaluation Framework (Invited Paper)

    E-Print Network [OSTI]

    Stevenson, Paul

    Cellular Energy Efficiency Evaluation Framework (Invited Paper) Gunther Auer, Vito Giannini, Istv, the power consumption of the entire system needs to be captured and an appropriate energy efficiency evaluation frameworks are discussed, such that the energy efficiency of the entire network comprising

  9. Freight Analysis Framework version 3 (FAF3)

    E-Print Network [OSTI]

    Freight Analysis Framework version 3 (FAF3) Oak Ridge National Laboratory managed by UT Technologies Research Brief T he Freight Analysis Framework version 3 (FAF3) database is a Federal Highway data to enable users to perform train analysis. FAF3 Geography Figure 1 shows the analysis regions

  10. A FRAMEWORK FOR MEASURING SUPERCOMPUTER PRODUCTIVITY1

    E-Print Network [OSTI]

    Bader, David A.

    A FRAMEWORK FOR MEASURING SUPERCOMPUTER PRODUCTIVITY1 10/30/2003 Marc Snir2 and David A. Bader3 Abstract We propose a framework for measuring the productivity of High Performance Computing (HPC) systems, based on common economic definitions of productivity and on Utility Theory. We discuss how

  11. A Transmission Control Framework Continuous Media

    E-Print Network [OSTI]

    Whitton, Mary C.

    Rights Reserved #12;ABSTRACT A Transmission Control Framework for Continuous Media (Under the directionA Transmission Control Framework for Continuous Media by Terry Michael Talley A dissertation by integrating real-time two-way audio and video with the computer system. Unfortunately, the quality of video

  12. Porous Materials -Metal-Organic Frameworks

    E-Print Network [OSTI]

    Tsymbal, Evgeny Y.

    ShellsSnow Coral SoilBoneLungs Lemons #12;Artificial Porous Materials Insulation Cake Concrete BreadPorous Materials -Metal-Organic Frameworks 2012 Nanocamp NCMN, UNL Dr. Jian Zhang & Jacob Johnson-organic Frameworks Porous polymer networks #12;Porous Materials in Nature Sandstones Sea Sponge Butterfly Wings Egg

  13. Cambridge University Library Collection Development Policy framework

    E-Print Network [OSTI]

    Cambridge, University of

    importance by stating that it will continue its cultural heritage role as a National Research LibraryCambridge University Library Collection Development Policy framework 1. Scope This policy is intended as a framework to guide collection development in Cambridge University Library and its affiliated

  14. Bibliography on Logical Frameworks Frank Pfenning

    E-Print Network [OSTI]

    Pfenning, Frank

    is a formal meta-language for deductive systems. The pri* *mary tasks sup- ported in logical frameworks, New Jersey, Jul* *y 1996. IEEE Computer Society Press. [7]Penny Anderson. Program Derivation as Technical Report CMU-CS-93-206. [8]Penny Anderson. Program extraction in a logical framework setting

  15. A New Framework for Vision-Enabled and Robotically-Assisted

    E-Print Network [OSTI]

    Wang, Yuan-Fang

    algorithms are designed for image analysis, modeling, and matching in a exible, de- formable environment that utilizes intelligent visual model- ing, recognition, and servoing capabilities for assisting the surgeon in maneuvering the scope (camera) in laparoscopy is proposed. The proposed framework integrates top-down model

  16. Semiclassical framework for the calculation of transport anisotropies

    E-Print Network [OSTI]

    Vyborny, Karel; Kovalev, Alexey A.; Sinova, Jairo; Jungwirth, T.

    2009-01-01T23:59:59.000Z

    microscopic calculations and a simple physical model was recently found in the diluted magnetic semiconductor10,11 #1;Ga,Mn#2;As whose band structure is much simpler. Despite the long history of the AMR research, the ques- tion has not been answered... the main body of the paper by discussing the relevance of our model calculations for the AMR in magnetic semiconductors and by summarizing the key elements of the theoretical framework we have developed. Appendixes A?G contain de- tails of our...

  17. Building problem solving environments with the arches framework

    SciTech Connect (OSTI)

    Debardeleben, Nathan [Los Alamos National Laboratory; Sass, Ron [U NORTH CAROLINA; Stanzione, Jr., Daniel [ASU; Ligon, Ill, Walter [CLEMSON UNIV

    2009-01-01T23:59:59.000Z

    The computational problems that scientists face are rapidly escalating in size and scope. Moreover, the computer systems used to solve these problems are becoming significantly more complex than the familiar, well-understood sequential model on their desktops. While it is possible to re-train scientists to use emerging high-performance computing (HPC) models, it is much more effective to provide them with a higher-level programming environment that has been specialized to their particular domain. By fostering interaction between HPC specialists and the domain scientists, problem-solving environments (PSEs) provide a collaborative environment. A PSE environment allows scientists to focus on expressing their computational problem while the PSE and associated tools support mapping that domain-specific problem to a high-performance computing system. This article describes Arches, an object-oriented framework for building domain-specific PSEs. The framework was designed to support a wide range of problem domains and to be extensible to support very different high-performance computing targets. To demonstrate this flexibility, two PSEs have been developed from the Arches framework to solve problem in two different domains and target very different computing platforms. The Coven PSE supports parallel applications that require large-scale parallelism found in cost-effective Beowulf clusters. In contrast, RCADE targets FPGA-based reconfigurable computing and was originally designed to aid NASA Earth scientists studying satellite instrument data.

  18. HistFitter software framework for statistical data analysis

    E-Print Network [OSTI]

    M. Baak; G. J. Besjes; D. Cote; A. Koutsman; J. Lorenz; D. Short

    2014-10-06T23:59:59.000Z

    We present a software framework for statistical data analysis, called HistFitter, that has been used extensively by the ATLAS Collaboration to analyze big datasets originating from proton-proton collisions at the Large Hadron Collider at CERN. Since 2012 HistFitter has been the standard statistical tool in searches for supersymmetric particles performed by ATLAS. HistFitter is a programmable and flexible framework to build, book-keep, fit, interpret and present results of data models of nearly arbitrary complexity. Starting from an object-oriented configuration, defined by users, the framework builds probability density functions that are automatically fitted to data and interpreted with statistical tests. A key innovation of HistFitter is its design, which is rooted in core analysis strategies of particle physics. The concepts of control, signal and validation regions are woven into its very fabric. These are progressively treated with statistically rigorous built-in methods. Being capable of working with multiple data models at once, HistFitter introduces an additional level of abstraction that allows for easy bookkeeping, manipulation and testing of large collections of signal hypotheses. Finally, HistFitter provides a collection of tools to present results with publication-quality style through a simple command-line interface.

  19. Collaborative study of GENIEfy Earth System Models using scripted database workflows in a Grid

    E-Print Network [OSTI]

    A. R. Price; Z. Jiao; I. I. Voutchkov; T. M. Lenton; G. Williams; D. J. Lunt; R. Marsh; P. J. Valdes; S. J. Cox; The Genie Team

    algorithms complement the component framework to provide a comprehensive toolset for Earth system modelling

  20. A framework for the assessment of severe accident management strategies

    SciTech Connect (OSTI)

    Kastenberg, W.E. [ed.; Apostolakis, G.; Dhir, V.K. [California Univ., Los Angeles, CA (United States). Dept. of Mechanical, Aerospace and Nuclear Engineering] [and others

    1993-09-01T23:59:59.000Z

    Severe accident management can be defined as the use of existing and/or altemative resources, systems and actors to prevent or mitigate a core-melt accident. For each accident sequence and each combination of severe accident management strategies, there may be several options available to the operator, and each involves phenomenological and operational considerations regarding uncertainty. Operational uncertainties include operator, system and instrumentation behavior during an accident. A framework based on decision trees and influence diagrams has been developed which incorporates such criteria as feasibility, effectiveness, and adverse effects, for evaluating potential severe accident management strategies. The framework is also capable of propagating both data and model uncertainty. It is applied to several potential strategies including PWR cavity flooding, BWR drywell flooding, PWR depressurization and PWR feed and bleed.

  1. Scalable replica-exchange framework for Wang Landau sampling

    SciTech Connect (OSTI)

    Vogel, Thomas [University of Georgia, Athens, GA; Li, Ying Wai [ORNL; Wuest, Thomas [Swiss Federal Research Institute, Switzerland; Landau, David P [University of Georgia, Athens, GA

    2014-01-01T23:59:59.000Z

    We investigate a generic, parallel replica-exchange framework for Monte Carlo simulations based on the Wang Landau method. To demonstrate its advantages and general applicability for massively parallel simulations of complex systems, we apply it to lattice spin models, the self-assembly process in amphiphilic solutions, and the adsorption of molecules on surfaces. While of general, current interest, the latter phenomena are challenging to study computationally because of multiple structural transitions occurring over a broad temperature range. We show how the parallel framework facilitates simulations of such processes and, without any loss of accuracy or precision, gives a significant speedup and allows for the study of much larger systems and much wider temperature ranges than possible with single-walker methods.

  2. A Risk-Based System Analysis Framework for Geological Carbon Sequestration.

    SciTech Connect (OSTI)

    Kobos, Peter H.; Klotz, Richard

    2006-10-01T23:59:59.000Z

    The purpose of this project was to characterize existing carbon capture and sequestration technologies at a high level, develop an analytical framework to help assess the technologies, and implement the framework in a system dynamics model. The first year of this project succeeded in characterizing existing technologies to help focus the analysis on power plants. The assessment also helped determine which technologies are largely accepted by the carbon capture research community as relatively proven technologies, discuss the salient performance metrics, and assess the associated economics. With this information, an analytical framework was developed to assess the technologies from a systems view perspective. With this framework, the Carbon Sequestration and Risk Model (CSR) was developed to assess performance and economic risk issues as they relate to global atmospheric CO2 concentration goals and single plant scale projects to characterize the economics of these systems.

  3. A global framework for scene gist

    E-Print Network [OSTI]

    Greene, Michelle R

    2009-01-01T23:59:59.000Z

    Human observers are able to rapidly and accurately categorize natural scenes, but the representation mediating this feat is still unknown. Here we propose a framework of rapid scene categorization that does not segment a ...

  4. Thiophene-based covalent organic frameworks

    E-Print Network [OSTI]

    Bertrand, Guillaume

    We report the synthesis and characterization of covalent organic frameworks (COFs) incorporating thiophene-based building blocks. We show that these are amenable to reticular synthesis, and that bent ditopic monomers, such ...

  5. A framework for technology forecasting and visualization

    E-Print Network [OSTI]

    Woon, Wei Lee

    This paper presents a novel framework for supporting the development of well-informed research policies and plans. The proposed methodology is based on the use of bibliometrics; i.e., analysis is conducted using information ...

  6. A Framework for Technology Forecasting and Visualization

    E-Print Network [OSTI]

    Woon, Wei Lee

    This paper presents a novel framework for supporting the development of well-informed research policies and plans. The proposed methodology is based on the use of bibliometrics; i.e., analysis is conducted using information ...

  7. Constructibility review process framework for transportation facilities

    E-Print Network [OSTI]

    Liman, Majed

    1995-01-01T23:59:59.000Z

    is performed as a completely separate phase. Changes in key players occur once the project is awarded to the contractor. Contractors have little or no opportunity to provide input to planners and designers. The framework developed in this research consists...

  8. CAFE : a framework for cell application development

    E-Print Network [OSTI]

    Hammer, Joseph Keith

    2007-01-01T23:59:59.000Z

    no less. Third, CAFE is non-intrusive. One of the originala lightweight, flexible, and non-intrusive framework thatCAFE’s effectiveness and non-intrusive nature in a sizable

  9. Knowledge Discovery Framework for the Virtual Observatory

    E-Print Network [OSTI]

    Thomas, Brian; Huang, Zenping; Teuben, Peter

    2015-01-01T23:59:59.000Z

    We describe a framework that allows a scientist-user to easily query for information across all Virtual Observatory (VO) repositories and pull it back for analysis. This framework hides the gory details of meta-data remediation and data formatting from the user, allowing them to get on with search, retrieval and analysis of VO data as if they were drawn from a single source using a science based terminology rather than a data-centric one.

  10. A dual-pass variational data assimilation framework for estimating soil moisture profiles from AMSR-E microwave

    E-Print Network [OSTI]

    influences the partitioning of surface available energy into sensible and latent heat fluxes and henceA dual-pass variational data assimilation framework for estimating soil moisture profiles from AMSR, we have designed a dual-pass assimilation (DP-En4DVar) framework to optimize the model state

  11. A unified framework for reactive control of wheeled mobile manipulators V. Padois, J.-Y. Fourquet, P. Chiron

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A unified framework for reactive control of wheeled mobile manipulators V. Padois, J.-Y. Fourquet well suited for reactive control approaches which, in the case of mobile manipulation missions a unified modeling framework for wheeled mobile manipulators (WMM). Where most work in the literature often

  12. Poster Abstract: Towards a Smart Home Framework Muddasser Alam, Alper T. Alan, Alex Rogers, and Sarvapali D. Ramchurn

    E-Print Network [OSTI]

    Poster Abstract: Towards a Smart Home Framework Muddasser Alam, Alper T. Alan, Alex Rogers. {moody,ata1g11,acr,sdr}@ecs.soton.ac.uk ABSTRACT We present our Smart Home Framework (SHF) which sim- plifies the modelling, prototyping and simulation of smart infrastructure (i.e., smart home and smart

  13. An Assessment of Integrated Health Management Frameworks

    SciTech Connect (OSTI)

    Lybeck, Nancy; Coble, Jamie B.; Tawfik, Magdy; Bond, Leonard J.

    2012-05-18T23:59:59.000Z

    In order to meet the ever increasing demand for energy, the United States nuclear industry is turning to life extension of existing nuclear power plants (NPPs). Economically ensuring the safe, secure, and reliable operation of aging NPPs presents many challenges. The 2009 Light Water Reactor Sustainability Workshop identified online monitoring of active and structural components as essential to better understanding and management of the challenges posed by aging NPPs. Additionally, there is increasing adoption of condition-based maintenance (CBM) for active components in NPPs. These techniques provide a foundation upon which a variety of advanced online surveillance, diagnostic, and prognostic techniques can be deployed to continuously monitor and assess the health of NPP systems and components. The next step in the development of advanced online monitoring is to move beyond CBM to estimating the remaining useful life of active components using prognostic tools. Deployment of prognostic health management (PHM) on the scale of an NPP requires the use of an integrated health management (IHM) framework - a software product (or suite of products) used to manage the necessary elements needed for a complete implementation of online monitoring and prognostics. This paper provides a thoughtful look at the desirable functions and features of IHM architectures. A full PHM system involves several modules, including data acquisition, system modeling, fault detection, fault diagnostics, system prognostics, and advisory generation (operations and maintenance planning). The standards applicable to PHM applications are indentified and summarized. A list of evaluation criteria for PHM software products, developed to ensure scalability of the toolset to an environment with the complexity of an NPP, is presented. Fourteen commercially available PHM software products are identified and classified into four groups: research tools, PHM system development tools, deployable architectures, and peripheral tools.

  14. SciTech Connect: Metal-Organic Framework Templated Inorganic...

    Office of Scientific and Technical Information (OSTI)

    Metal-Organic Framework Templated Inorganic Sorbents for Rapid and Efficient Extraction of Heavy Metals Citation Details In-Document Search Title: Metal-Organic Framework Templated...

  15. International Framework for Nuclear Energy Cooperation to Hold...

    Energy Savers [EERE]

    International Framework for Nuclear Energy Cooperation to Hold Ministerial-Level Meeting Sept. 29 in Warsaw, Poland International Framework for Nuclear Energy Cooperation to Hold...

  16. assessment framework: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2 Approach & Implementation Basically, the NAVTAG framework consist of three Hammerton, James 17 COMMENT Addressing a critique of the TEASI framework for invasive species risk...

  17. assessment framework meraf: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2 Approach & Implementation Basically, the NAVTAG framework consist of three Hammerton, James 17 COMMENT Addressing a critique of the TEASI framework for invasive species risk...

  18. A preliminary analysis of Cyclops Tensor Framework Edgar Solomonik

    E-Print Network [OSTI]

    California at Berkeley, University of

    A preliminary analysis of Cyclops Tensor Framework Edgar Solomonik Jeff Hammond James Demmel prior specific permission. #12;A preliminary analysis of Cyclops Tensor Framework Edgar Solomonik Univ

  19. Conceptual Framework for Developing Resilience Metrics for the...

    Office of Environmental Management (EM)

    Conceptual Framework for Developing Resilience Metrics for the Electricity, Oil, and Gas Sectors in the United States (September 2014) Conceptual Framework for Developing...

  20. A Holistic Framework for Environmental Flows Determination in Hydropower Contexts

    SciTech Connect (OSTI)

    McManamay, Ryan A [ORNL; Bevelhimer, Mark S [ORNL

    2013-05-01T23:59:59.000Z

    Among the ecological science community, the consensus view is that the natural flow regime sustains the ecological integrity of river systems. This prevailing viewpoint by many environmental stakeholders has progressively led to increased pressure on hydropower dam owners to change plant operations to affect downstream river flows with the intention of providing better conditions for aquatic biological communities. Identifying the neccessary magnitude, frequency, duration, timing, or rate of change of stream flows to meet ecological needs in a hydropower context is challenging because the ecological responses to changes in flows may not be fully known, there are usually a multitude of competing users of flow, and implementing environmental flows usually comes at a price to energy production. Realistically, hydropower managers must develop a reduced set of goals that provide the most benefit to the identified ecological needs. As a part of the Department of Energy (DOE) Water Power Program, the Instream Flow Project (IFP) was carried out by Oak Ridge National Laboratory (ORNL), Pacific Northwest National Laboratory (PNNL), and Argon National Laboratory (ANL) as an attempt to develop tools aimed at defining environmental flow needs for hydropower operations. The application of these tools ranges from national to site-specific scales; thus, the utility of each tool will depend on various phases of the environmental flow process. Given the complexity and sheer volume of applications used to determine environmentally acceptable flows for hydropower, a framework is needed to organize efforts into a staged process dependent upon spatial, temporal, and functional attributes. By far, the predominant domain for determining environmental flows related to hydropower is within the Federal Energy Regulatory Commission (FERC) relicensing process. This process can take multiple years and can be very expensive depending on the scale of each hydropower project. The utility of such a framework is that it can expedite the environmental flow process by 1) organizing data and applications to identify predictable relationships between flows and ecology, and 2) suggesting when and where tools should be used in the environmental flow process. In addition to regulatory procedures, a framework should also provide the coordination for a comprehensive research agenda to guide the science of environmental flows. This research program has further reaching benefits than just environmental flow determination by providing modeling applications, data, and geospatial layers to inform potential hydropower development. We address several objectives within this document that highlight the limitations of existing environmental flow paradigms and their applications to hydropower while presenting a new framework catered towards hydropower needs. Herein, we address the following objectives: 1) Provide a brief overview of the Natural Flow Regime paradigm and existing environmental flow frameworks that have been used to determine ecologically sensitive stream flows for hydropower operations. 2) Describe a new conceptual framework to aid in determining flows needed to meet ecological objectives with regard to hydropower operations. The framework is centralized around determining predictable relationships between flow and ecological responses. 3) Provide evidence of how efforts from ORNL, PNNL, and ANL have filled some of the gaps in this broader framework, and suggest how the framework can be used to set the stage for a research agenda for environmental flow.

  1. A flexible framework for secure and efficient program obfuscation.

    SciTech Connect (OSTI)

    Solis, John Hector

    2013-03-01T23:59:59.000Z

    In this paper, we present a modular framework for constructing a secure and efficient program obfuscation scheme. Our approach, inspired by the obfuscation with respect to oracle machines model of [4], retains an interactive online protocol with an oracle, but relaxes the original computational and storage restrictions. We argue this is reasonable given the computational resources of modern personal devices. Furthermore, we relax the information-theoretic security requirement for computational security to utilize established cryptographic primitives. With this additional flexibility we are free to explore different cryptographic buildingblocks. Our approach combines authenticated encryption with private information retrieval to construct a secure program obfuscation framework. We give a formal specification of our framework, based on desired functionality and security properties, and provide an example instantiation. In particular, we implement AES in Galois/Counter Mode for authenticated encryption and the Gentry-Ramzan [13]constant communication-rate private information retrieval scheme. We present our implementation results and show that non-trivial sized programs can be realized, but scalability is quickly limited by computational overhead. Finally, we include a discussion on security considerations when instantiating specific modules.

  2. Coordination on the MISO Interference Channel Using the Virtual SINR Framework

    E-Print Network [OSTI]

    Gesbert, David

    Coordination on the MISO Interference Channel Using the Virtual SINR Framework Randa Zakhour David;Outline Motivation Cooperation in multi-cell/link systems MISO IC System Model and Performance Measures Motivation Cooperation in multi-cell/link systems MISO IC System Model and Performance Measures Virtual SINR

  3. A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation using First-Order Logic

    E-Print Network [OSTI]

    Zhu, Xiaojin "Jerry"

    of Latent Dirichlet Allocation (LDA) [Blei et al., 2003], a large number of latent-topic- model variants- rating external knowledge specific to the target domain, see e.g., [Wang et al., 2009; Gerrish and Blei research, too. 2 The Fold·all Framework We now briefly review the standard LDA model [Blei et al., 2003

  4. EUROGRAPHICS 2011/ K. Bhler, A. Vilanova Medical Prize FEMONUM: A Framework for Whole Body Pregnant

    E-Print Network [OSTI]

    Boubekeur, Tamy

    and detailed models of human be- ings. This paper describes FEMONUM, a complete methodological framework computer graph- ics methods, such as surface reconstruction and physics-based computer animation to model which the phenomenon happens. For instance, in the particular case of digital dosimetry in human tissues

  5. Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures

    E-Print Network [OSTI]

    He, Yun; Ding, Chris

    2005-01-01T23:59:59.000Z

    Among these, NASA’s Earth System Models Framework (ESMF) [to facilitate coupling earth system model components and to

  6. Sandia National Laboratories: model chemical processes

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Sandia received funding for its "Mechanistic Modeling Framework for Predicting Extreme Battery Response: Coupled Hierarchical Models for Thermal, Mechanical, Electrical and...

  7. Framework Application for Core Edge Transport Simulation (FACETS)

    SciTech Connect (OSTI)

    Krasheninnikov, Sergei; Pigarov, Alexander

    2011-10-15T23:59:59.000Z

    The FACETS (Framework Application for Core-Edge Transport Simulations) project of Scientific Discovery through Advanced Computing (SciDAC) Program was aimed at providing a high-fidelity whole-tokamak modeling for the U.S. magnetic fusion energy program and ITER through coupling separate components for each of the core region, edge region, and wall, with realistic plasma particles and power sources and turbulent transport simulation. The project also aimed at developing advanced numerical algorithms, efficient implicit coupling methods, and software tools utilizing the leadership class computing facilities under Advanced Scientific Computing Research (ASCR). The FACETS project was conducted by a multi-discipline, multi-institutional teams, the Lead PI was J.R. Cary (Tech-X Corp.). In the FACETS project, the Applied Plasma Theory Group at the MAE Department of UCSD developed the Wall and Plasma-Surface Interaction (WALLPSI) module, performed its validation against experimental data, and integrated it into the developed framework. WALLPSI is a one-dimensional, coarse grained, reaction/advection/diffusion code applied to each material boundary cell in the common modeling domain for a tokamak. It incorporates an advanced model for plasma particle transport and retention in the solid matter of plasma facing components, simulation of plasma heat power load handling, calculation of erosion/deposition, and simulation of synergistic effects in strong plasma-wall coupling.

  8. Robust diffusion imaging framework for clinical studies

    E-Print Network [OSTI]

    Maximov, Ivan I; Neuner, Irene; Shah, N Jon

    2015-01-01T23:59:59.000Z

    Clinical diffusion imaging requires short acquisition times and good image quality to permit its use in various medical applications. In turn, these demands require the development of a robust and efficient post-processing framework in order to guarantee useful and reliable results. However, multiple artefacts abound in in vivo measurements; from either subject such as cardiac pulsation, bulk head motion, respiratory motion and involuntary tics and tremor, or imaging hardware related problems, such as table vibrations, etc. These artefacts can severely degrade the resulting images and render diffusion analysis difficult or impossible. In order to overcome these problems, we developed a robust and efficient framework enabling the use of initially corrupted images from a clinical study. At the heart of this framework is an improved least trimmed squares diffusion tensor estimation algorithm that works well with severely degraded datasets with low signal-to-noise ratio. This approach has been compared with other...

  9. The LEAD Roadmap: an Integrative Framework for Utilizing and Sharing Community Resources to Enhance Understanding and Impact of Weather1

    E-Print Network [OSTI]

    Plale, Beth

    1 The LEAD Roadmap: an Integrative Framework for Utilizing and Sharing Community Resources ................................................................................................ 10 Introduction Linked Environments for Atmospheric Discovery (LEAD; Plale et al. 2004, 2006, assimilation, modeling, mining, and cyberinfrastructure systems. LEAD empowers researchers and students

  10. A distributed requirements management framework for legal compliance and accountability

    E-Print Network [OSTI]

    Breaux, Travis D.

    lifecycle. We illustrate the framework within the context of a concrete healthcare scenario in which

  11. A Bayesian Framework for Combining Valuation Estimates

    E-Print Network [OSTI]

    Kenton K. Yee

    2007-07-24T23:59:59.000Z

    Obtaining more accurate equity value estimates is the starting point for stock selection, value-based indexing in a noisy market, and beating benchmark indices through tactical style rotation. Unfortunately, discounted cash flow, method of comparables, and fundamental analysis typically yield discrepant valuation estimates. Moreover, the valuation estimates typically disagree with market price. Can one form a superior valuation estimate by averaging over the individual estimates, including market price? This article suggests a Bayesian framework for combining two or more estimates into a superior valuation estimate. The framework justifies the common practice of averaging over several estimates to arrive at a final point estimate.

  12. A Bayesian Framework for Combining Valuation Estimates

    E-Print Network [OSTI]

    Yee, Kenton K

    2007-01-01T23:59:59.000Z

    Obtaining more accurate equity value estimates is the starting point for stock selection, value-based indexing in a noisy market, and beating benchmark indices through tactical style rotation. Unfortunately, discounted cash flow, method of comparables, and fundamental analysis typically yield discrepant valuation estimates. Moreover, the valuation estimates typically disagree with market price. Can one form a superior valuation estimate by averaging over the individual estimates, including market price? This article suggests a Bayesian framework for combining two or more estimates into a superior valuation estimate. The framework justifies the common practice of averaging over several estimates to arrive at a final point estimate.

  13. TIUPAM: A Framework for Trustworthiness-centric

    E-Print Network [OSTI]

    Sandhu, Ravi

    at San Antonio Joint work with Qun Ni and Elisa Bertino (Purdue Univ.) Ravi Sandhu (Univ. Texas at San, Usage, Provenance, and Attack Management (TIUPAM) Four supporting components: Identity management Usage management Provenance management Attack management The framework is centered at the need

  14. Integrated Compliance Framework for Data Processing Applications

    E-Print Network [OSTI]

    Vil, Jé an

    2009-12-18T23:59:59.000Z

    Framework for Data Processing Applications? that leverages industry best practices like the Control Objectives for Information and related Technology (COBIT), the Information Technology Infrastructure Library (ITIL), the International Organization.... Information Technology Infrastructure Library (ITIL) ITIL provides a systematic approach to the management of information technology service provision. It is the only consistent and comprehensive documentation of best practice for information technology...

  15. A Theoretical Framework for Chimera Domain Decomposition

    E-Print Network [OSTI]

    Keeling, Stephen L.

    A Theoretical Framework for Chimera Domain Decomposition S. L. Keeling Sverdrup Technology, Inc. Steger, UC Davis, May 2-4, 1997. 1 Introduction. The Chimera scheme is a domain decomposition method- ometry is divided into simply shaped regions. Unlike other approaches [5], the Chimera method simplifies

  16. A Statistical Framework for Spatial Comparative Genomics

    E-Print Network [OSTI]

    A Statistical Framework for Spatial Comparative Genomics Rose Hoberman May 2007 CMU-CS-07, or the U.S. Government. #12;Keywords: spatial comparative genomics, comparative genomics, gene clusters, max-gap clusters, gene teams, whole genome duplication, paralogons, synteny, ortholog detection #12

  17. UTS GRADUATE PROFILE FRAMEWORK August 2011

    E-Print Network [OSTI]

    University of Technology, Sydney

    UTS GRADUATE PROFILE FRAMEWORK August 2011 Approved by Academic Board (AB 11.79.2) meeting 11. What is a UTS Graduate Profile Each course (or suite of courses) at UTS will have a graduate profile that describes the intended capability of a graduate from the course. The graduate profile includes the graduate

  18. Proton++: A Customizable Declarative Multitouch Framework

    E-Print Network [OSTI]

    California at Irvine, University of

    Proton++: A Customizable Declarative Multitouch Framework Kenrick Kin1,2 Bj¨orn Hartmann1 Tony DeRose2 Maneesh Agrawala1 1 University of California, Berkeley 2 Pixar Animation Studios ABSTRACT Proton- sions of touch event symbols. It builds on the Proton frame- work by allowing developers to incorporate

  19. The Reactor An ObjectOriented Framework

    E-Print Network [OSTI]

    Schmidt, Douglas C.

    The Reactor An Object­Oriented Framework for Event Demultiplexing and Event Handler Dispatching Douglas C. Schmidt 1 Overview ffl The Reactor is an object­oriented frame­ work that encapsulates OS event demul­ tiplexing mechanisms -- e.g., the Reactor API runs transparently atop both Wait

  20. Client logo A Framework for Character

    E-Print Network [OSTI]

    Birmingham, University of

    Client logo A Framework for Character Education Jubilee Centre Parents' survey #12;Client logo 84 disagree. #12;Client logo The skills and tools that parents would most like their child to gain from school. Only 5% disagree. #12;Client logo The vast majority of parents believe that schools should have

  1. Component Framework for Coupled Integrated Fusion Plasma Simulation

    SciTech Connect (OSTI)

    Elwasif, Wael R [ORNL; Bernholdt, David E [ORNL; Berry, Lee A [ORNL; Batchelor, Donald B [ORNL

    2007-01-01T23:59:59.000Z

    Fusion Successful simulation of the complex physics that affect magnetically confined fusion plasma remains an important target milestone towards the development of viable fusion energy. Major advances in the underlying physics formulations, mathematical modeling, and computational tools and techniques are needed to enable a complete fusion simulation on the emerging class of large scale capability parallel computers that are coming on-line in the next few years. Several pilot projects are currently being undertaken to explore different (partial) code integration and coupling problems, and possible solutions that may guide the larger integration endeavor. In this paper, we present the design and implementation details of one such project, a component based approach to couple existing codes to model the interaction between high power radio frequency (RF) electromagnetic waves, and magnetohydrodynamics (MHD) aspects of the burning plasma. The framework and component design utilize a light coupling approach based on high level view of constituent codes that facilitates rapid incorporation of new components into the integrated simulation framework. The work illustrates the viability of the light coupling approach to better understand physics and stand-alone computer code dependencies and interactions, as a precursor to a more tightly coupled integrated simulation environment.

  2. Catalyzed Nano-Framework Stablized High Density Reversible Hydrogen Storage Systems

    SciTech Connect (OSTI)

    Xia Tang , Susanne M. Opalka , Daniel A. Mosher, Bruce L. Laube, Ronald J. Brown, Thomas H. Vanderspurt, Sarah Arsenault, Robert Wu, Jamie Strickler, Ewa. Ronnebro, Tim. Boyle and Joseph Cordaro

    2010-06-30T23:59:59.000Z

    A wide range of high capacity on-board rechargeable material candidates have exhibited non-ideal behavior related to irreversible hydrogen discharge / recharge behavior, and kinetic instability or retardation. This project addresses these issues by incorporating solvated and other forms of complex metal hydrides, with an emphasis on borohydrides, into nano-scale frameworks of low density, high surface area skeleton materials to stabilize, catalyze, and control desorption product formation associated with such complex metal hydrides. A variety of framework chemistries and hydride / framework combinations were investigated to make a relatively broad assessment of the method'Â?s potential. In this project, the hydride / framework interactions were tuned to decrease desorption temperatures for highly stable compounds or increase desorption temperatures for unstable high capacity compounds, and to influence desorption product formation for improved reversibility. First principle modeling was used to explore heterogeneous catalysis of hydride reversibility by modeling H{sub 2} dissociation, hydrogen migration, and rehydrogenation. Atomic modeling also demonstrated enhanced NaTi(BH{sub 4}){sub 4} stabilization at nano-framework surfaces modified with multi-functional agents. Amine multi-functional agents were found to have more balanced interactions with nano-framework and hydride clusters than other functional groups investigated. Experimentation demonstrated that incorporation of Ca(BH{sub 4}){sub 2} and Mg(BH{sub 4}){sub 2} in aerogels enhanced hydride desorption kinetics. Carbon aerogels were identified as the most suitable nano-frameworks for hydride kinetic enhancement and high hydride loading. High loading of NaTi(BH{sub 4}){sub 4} ligand complex in SiO{sub 2} aerogel was achieved and hydride stability was improved with the aerogel. Although improvements of desorption kinetics was observed, the incorporation of Ca(BH{sub 4}){sub 2} and Mg(BH{sub 4}){sub 2} in nano-frameworks did not improve their H{sub 2} absorption due to the formation of stable alkaline earth B12H12 intermediates upon rehydrogenation. This project primarily investigated the effect of nano-framework surface chemistry on hydride properties, while the effect of pore size is the focus area of other efforts (e.g., HRL, Sandia National Laboratories (SNL) etc.) within the Metal Hydride Center of Excellence (MHCoE). The projects were complementary in gaining an overall understanding of the influence of nano-frameworks on hydride behavior.

  3. CONCEPTUAL MODELLING OF A CONCURRENT ENGINEERING ENVIRONMENT

    E-Print Network [OSTI]

    Amor, Robert

    CONCEPTUAL MODELLING OF A CONCURRENT ENGINEERING ENVIRONMENT Z. Turk1 , R. Wasserfuhr2 , P assisted concurrent engineering. Later experiences have shown that product modelling alone modelling framework which decomposes an abstract concurrent engineering environment into several modelling

  4. Interoperability constraints and requirements formal modelling and checking framework

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    an actor involved in a process (engineering, decision, control) focusing on complex system. These paradigms requirements having to be respected all along collaborative (private or public) processes. Keywords: System and stability (safety, security, etc.) and second, the process environment, resources and context. Various

  5. BIOINFORMATICS A Supervised Hidden Markov Model Framework for

    E-Print Network [OSTI]

    Gerstein, Mark

    regions for experimental validation to build up a gold-standard set for training and testing. We University, New Haven CT 06520, USA ABSTRACT Motivation: Large-scale tiling array experiments are becoming be addressed gold-standard. This latter result has strong implications for the opti- mum way medium-scale

  6. A BAYESIAN NONPARAMETRIC MODELING FRAMEWORK FOR EXTREME VALUE ANALYSIS

    E-Print Network [OSTI]

    Wang, Ziwei

    2012-01-01T23:59:59.000Z

    and the bursting of the dot-com bubble on March 10, 2000,the bursting of the dot-com bubble (03/10/2000), the 09/11and the bursting of the dot-com bubble on March 10, 2000. We

  7. A Mixed Finite Element Framework for Modeling Coupled Fluid Flow ...

    E-Print Network [OSTI]

    Birendra Jha

    2005-10-03T23:59:59.000Z

    and in enhanced oil recovery techniques such as steam assisted gravity ..... When fluid flows through a porous medium there are three forces acting, per unit.

  8. A model-based systems engineering framework for concept development

    E-Print Network [OSTI]

    London, Brian (Brian N.)

    2012-01-01T23:59:59.000Z

    The development of increasingly complex, innovative systems under greater constraints has been the trend over the past several decades. In order to be successful, organizations must develop products that meet customer needs ...

  9. Industrial Sector Energy Efficiency Modeling (ISEEM) Framework Documentation

    E-Print Network [OSTI]

    Karali, Nihan

    2014-01-01T23:59:59.000Z

    INVESTMENT COST . anninvcost Annualized investment cost of a technology bound_Total of discounted investment costs discinvcost Discounted

  10. Integrated Global System Modeling Framework | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEIHesperia,IDGWPIndiantown,Innoferm GmbHCaltech CenterArea,Integrated

  11. Mesoscale Modeling Framework Design: Subcontract Report | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronicCurves | SciTech

  12. New Modularization Framework Transforms FAST Wind Turbine Modeling Tool |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOilNEW HAMPSHIREof EnergyBulbs | Department ofofWins R&D

  13. A software framework for image processing

    SciTech Connect (OSTI)

    Garren, D.A. [Raytheon E-Systems, Garland Operations, TX (United States)

    1996-12-31T23:59:59.000Z

    There exists a great potential for the development of customizable image processing software that accommodates a wide variety of customers and applications. Such software would be able to read and process the many common image file formats, in addition to allowing the incorporation of those that have been custom made. Furthermore, the software would have the ability to handle the infinite variety of accompanying support files, which can contain quite different information for various applications and customers. A software framework designed to read and process this wide variety of input image files and support files would be extremely valuable. This paper develops the foundation of this proposed software architecture by using a composite of several common design patterns. Any similar software framework required to process input information and corresponding algorithms can benefit from the exposition of these composite design structures.

  14. Scientific Final Report: COLLABORATIVE RESEARCH: CONTINUOUS DYNAMIC GRID ADAPTATION IN A GLOBAL ATMOSPHERIC MODEL: APPLICATION AND REFINEMENT

    SciTech Connect (OSTI)

    William J. Gutowski; Joseph M. Prusa, Piotr K. Smolarkiewicz

    2012-04-09T23:59:59.000Z

    This project had goals of advancing the performance capabilities of the numerical general circulation model EULAG and using it to produce a fully operational atmospheric global climate model (AGCM) that can employ either static or dynamic grid stretching for targeted phenomena. The resulting AGCM combined EULAG's advanced dynamics core with the 'physics' of the NCAR Community Atmospheric Model (CAM). Effort discussed below shows how we improved model performance and tested both EULAG and the coupled CAM-EULAG in several ways to demonstrate the grid stretching and ability to simulate very well a wide range of scales, that is, multi-scale capability. We leveraged our effort through interaction with an international EULAG community that has collectively developed new features and applications of EULAG, which we exploited for our own work summarized here. Overall, the work contributed to over 40 peer-reviewed publications and over 70 conference/workshop/seminar presentations, many of them invited.

  15. An Optimization Framework for Driver Feedback Systems

    SciTech Connect (OSTI)

    Malikopoulos, Andreas [ORNL; Aguilar, Juan P. [Georgia Institute of Technology

    2013-01-01T23:59:59.000Z

    Modern vehicles have sophisticated electronic control units that can control engine operation with discretion to balance fuel economy, emissions, and power. These control units are designed for specific driving conditions (e.g., different speed profiles for highway and city driving). However, individual driving styles are different and rarely match the specific driving conditions for which the units were designed. In the research reported here, we investigate driving-style factors that have a major impact on fuel economy and construct an optimization framework to optimize individual driving styles with respect to these driving factors. In this context, we construct a set of polynomial metamodels to reflect the responses produced in fuel economy by changing the driving factors. Then, we compare the optimized driving styles to the original driving styles and evaluate the effectiveness of the optimization framework. Finally, we use this proposed framework to develop a real-time feedback system, including visual instructions, to enable drivers to alter their driving styles in response to actual driving conditions to improve fuel efficiency.

  16. An Information Fusion Framework for Threat Assessment

    SciTech Connect (OSTI)

    Beaver, Justin M [ORNL; Kerekes, Ryan A [ORNL; Treadwell, Jim N [ORNL

    2009-01-01T23:59:59.000Z

    Modern enterprises are becoming increasingly sensitive to the potential destructive power of small groups or individuals with malicious intent. In response, significant investments are being made in developing a means to assess the likelihood of certain threats to their enterprises. Threat assessment needs are typically focused in very specific application areas where current processes rely heavily on human analysis to both combine any available data and draw conclusions about the probability of a threat. A generic approach to threat assessment is proposed, including a threat taxonomy and decision-level information fusion framework, that provides a computational means for merging multi-modal data for the purpose of assessing the presence of a threat. The framework is designed for flexibility, and intentionally accounts for the accuracy of each data source, given the environmental conditions, in order to manage the uncertainty associated with any acquired data. The taxonomy and information fusion framework is described, and discussed in the context of real-world applications such as shipping container security and cyber security.

  17. A Framework to Determine the Probability Density Function for the Output Power of Wind Farms

    E-Print Network [OSTI]

    Liberzon, Daniel

    A Framework to Determine the Probability Density Function for the Output Power of Wind Farms Sairaj to the power output of a wind farm while factoring in the availability of the wind turbines in the farm availability model for the wind turbines, we propose a method to determine the wind-farm power output pdf

  18. How to Evaluate an Early Warning System ? Towards a Unified Statistical Framework for Assessing Financial Crises

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    How to Evaluate an Early Warning System ? Towards a Unified Statistical Framework for Assessing Early Warning Systems (EWS). It presents four main advantages. First, it is a model free method which Early Warning Systems (EWS) constitute a crucial tool for authorities to implement optimal policies

  19. How to evaluate an Early Warning System ? Towards a Unified Statistical Framework for Assessing Financial Crises

    E-Print Network [OSTI]

    How to evaluate an Early Warning System ? Towards a Unified Statistical Framework for Assessing- scoring literature, to evaluate currency crises Early Warning Systems (EWS). Based on an assessment models in explaining the occurrence of crises. Key words: currency crisis, Early Warning System, credit

  20. A Formal Framework for Trust Policy Negotiation in Autonomic Systems: Abduction

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A Formal Framework for Trust Policy Negotiation in Autonomic Systems: Abduction with Soft show that soft constraints can be used to model logical reasoning, that is deduction and abduction (and induction). In partic- ular, we focus on the abduction process and we show how it can be implemented

  1. An XML Security Framework that Integrates NIST RBAC, MAC and DAC Policies

    E-Print Network [OSTI]

    Demurjian, Steven A.

    is to integrate the local security (existing systems) and their associated access control models into a global is to ensure that local security policies (of constituent systems) and access control mechanisms are satisfied. As a result, the XML security framework requires the inclusion of a secure information engineering process

  2. 2013 Faculty Publications A Cloud-Based Framework for Automating MODFLOW Simulations for Aquifer Management

    E-Print Network [OSTI]

    Olsen Jr., Dan R.

    2013 Faculty Publications A Cloud-Based Framework for Automating MODFLOW Simulations for Aquifer Performance-Based Liquefaction Triggering Models for the SPT. Seismological Society of America 2013 Annual. A Simplified Uniform Hazard Liquefaction Analysis Procedure for Bridges. Transportation Research Record. Kevin

  3. A Framework for Analysis of Dynamic Social Networks Tanya Y. Berger-Wolf

    E-Print Network [OSTI]

    Saia, Jared

    A Framework for Analysis of Dynamic Social Networks Tanya Y. Berger-Wolf Department of Computer@cs.uic.edu Jared Saia Department of Computer Science University of New Mexico Albuquerque, NM 87131 saia: disease modeling, cultural and information transmission, and behavioral ecol- ogy. Social interactions

  4. A Compiler Framework for Optimization of Affine Loop Nests for General Purpose Computations on GPUs

    E-Print Network [OSTI]

    Ramanujam, J. "Ram"

    ]. Until very recently, GPGPU computations were performed by transforming matrix operations. Although the polyhedral model of dependence abstraction and program transformation is much more powerfulA Compiler Framework for Optimization of Affine Loop Nests for General Purpose Computations on GPUs

  5. A Framework for the Management of Information Security Jussipekka Leiwo, Chandana Gamage and Yuliang Zheng

    E-Print Network [OSTI]

    Zheng, Yuliang

    A Framework for the Management of Information Security Jussipekka Leiwo, Chandana Gamage,chandag,yuliangg@fcit.monash.edu.au Abstract Information security is based on access control models and cryptographic techniques of comprehensive information security within organizations. There is a need to study upper level issues

  6. A Finite Element Framework for Multiscale/Multiphysics Analysis of Structures with Complex Microstructures

    E-Print Network [OSTI]

    Varghese, Julian

    2010-10-12T23:59:59.000Z

    . In addition to implementing an oxidation model, the framework was also used to implement strategies that expedited the simulation of oxidation in textile composites so that it would take only a few hours. The simulation showed that the tow architecture played...

  7. A mass-balance framework for quantifying downstream changes in fluvial architecture

    E-Print Network [OSTI]

    Paola, Chris

    A mass-balance framework for quantifying downstream changes in fluvial architecture NIKKI STRONG models that emphasize the three-dimensionality of alluvial architecture. New data are pre- sented from control on architecture, rather than subsidence per se. A simple coordinate transformation is proposed

  8. A DeVice-Independent programming and control framework for robotic HANDS

    E-Print Network [OSTI]

    Siena, Università di

    elemental action) from a human hand model domain onto the articulated robotic hand co-domain. The developed control framework has been applied on an experimental set up consisting of two robotic hands control system architectures for robotic hands from human data available in the literature and hypotheses

  9. An Interactive Visual Analytics Framework for Multi-Field Data...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Interactive Visual Analytics Framework for Multi-Field Data in a Geo-Spatial Context. An Interactive Visual Analytics Framework for Multi-Field Data in a Geo-Spatial Context....

  10. Drive-access transit : a regional analytical framework

    E-Print Network [OSTI]

    Sorensen, James B

    2005-01-01T23:59:59.000Z

    A framework for analyzing drive-access transit at a regional level is developed in this research. This framework is intended primarily for in-house use by regional transit agencies, yet has implications for the regional ...

  11. actor based framework: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Summary: The notion of assumption-based framework generalises and refines the use of abduction to give a formalisation of non-monotonic reasoning. In this framework, a sentence is...

  12. A framework for sustainable buildings : an application to China

    E-Print Network [OSTI]

    Ospelt, Christoph, 1970-

    1999-01-01T23:59:59.000Z

    A framework has been established to discuss the different topics of Sustainability in the context of buildings. The framework includes the dimensions of time and space and the dimensions of ecology, society, and economy. ...

  13. A hybrid parallel framework for computational solid mechanics

    E-Print Network [OSTI]

    Fidkowski, Piotr

    2011-01-01T23:59:59.000Z

    A novel, hybrid parallel C++ framework for computational solid mechanics is developed and presented. The modular and extensible design of this framework allows it to support a wide variety of numerical schemes including ...

  14. A decision making framework for cruise ship design

    E-Print Network [OSTI]

    Katsoufis, George P. (George Paraskevas)

    2006-01-01T23:59:59.000Z

    This thesis develops a new decision making framework for initial cruise ship design. Through review of effectiveness analysis and multi-criteria decision making, a uniform philosophy is created to articulate a framework ...

  15. Edinburgh Research Explorer Strengthening conceptual foundations: Analysing frameworks

    E-Print Network [OSTI]

    Millar, Andrew J.

    for ecosystem services and poverty alleviation research Citation for published version: Fisher, JA, Patenaude, G foundations: Analysing frameworks for ecosystem services and poverty alleviation research' Global: Analysing frameworks for ecosystem services and poverty alleviation research§ Janet A. Fisher a

  16. Particle Tracking and Simulation on the .NET Framework

    E-Print Network [OSTI]

    Nishimura, Hiroshi; Scarvie, Tom

    2006-01-01T23:59:59.000Z

    can use IronPython[10] to access .NET assemblies directly atTRACKING AND SIMULATION ON THE .NET FRAMEWORK * H. Nishimurathe effectiveness of the .NET framework by converting a C++

  17. A Framework for Dynamizing Succinct Data Structures (Extended Abstract)

    E-Print Network [OSTI]

    Gupta, Ankur; Hon, Wing-Kai; Shah, Rahul; Vitter, Jeffrey Scott

    2007-01-01T23:59:59.000Z

    We present a framework to dynamize succinct data structures, to encourage their use over non-succinct versions in a wide variety of important application areas. Our framework can dynamize most stateof- the-art succinct data structures...

  18. analysis framework taf: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    decisions. Micha? Antkiewicz; Krzysztof Czarnecki; Matthew Stephan 313 Sustainability Framework 1 Queen's University Computer Technologies and Information Sciences Websites...

  19. Fuel Performance Experiments and Modeling: Fission Gas Bubble Nucleation and Growth in Alloy Nuclear Fuels

    SciTech Connect (OSTI)

    McDeavitt, Sean; Shao, Lin; Tsvetkov, Pavel; Wirth, Brian; Kennedy, Rory

    2014-04-07T23:59:59.000Z

    Advanced fast reactor systems being developed under the DOE's Advanced Fuel Cycle Initiative are designed to destroy TRU isotopes generated in existing and future nuclear energy systems. Over the past 40 years, multiple experiments and demonstrations have been completed using U-Zr, U-Pu-Zr, U-Mo and other metal alloys. As a result, multiple empirical and semi-empirical relationships have been established to develop empirical performance modeling codes. many mechamistic questions about fission as mobility, bubble coalescience, and gas release have been answered through industrial experience, reearch, and empirical understanding. The advent of modern computational materials science, however, opens new doors of development such that physics-based multi-scale models may be developed to enable a new generation of predictive fuel performance codes that are not limited by empiricism.

  20. A Crowdsourceable QoE Evaluation Framework for Multimedia Content

    E-Print Network [OSTI]

    Chen, Sheng-Wei

    A Crowdsourceable QoE Evaluation Framework for Multimedia Content Kuan-Ta Chen12 , Chen-Chi Wu3 a crowdsourceable framework to quantify the QoE of multimedia content. The advantages of our framework over. INTRODUCTION To provide better service quality for users, multimedia and network researchers endeavor

  1. Security Requirements Engineering: A Framework for Representation and Analysis

    E-Print Network [OSTI]

    Nuseibeh, Bashar

    Security Requirements Engineering: A Framework for Representation and Analysis Charles B. Haley Abstract--This paper presents a framework for security requirements elicitation and analysis. The framework is based on constructing a context for the system, representing security requirements as constraints

  2. Component-based Situational Methods A framework for understanding SME

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Draft copy Component-based Situational Methods A framework for understanding SME Yves-Roger Nehan Engineering (SME) which focuses on project-specific method construction. We propose a faceted framework to understand and classify issues in system development SME. The framework identifies four different

  3. User Guide for Jitter-tolerant Framework 1 Introduction

    E-Print Network [OSTI]

    User Guide for Jitter-tolerant Framework 1 Introduction This brief user guide is for researchers and scientists to use our jitter-tolerant framework for time-stepped applications. The jitter-tolerant framework ID, please execute ec2-describe-images -a | grep Jitter This command returns a single line in which

  4. Policy Framework Policy Commencement Date: 14 March 2012

    E-Print Network [OSTI]

    Policy Framework Policy Commencement Date: 14 March 2012 Category: Strategic Management 1. PURPOSE To manage the development and maintenance of a robust and responsive policy framework that aligns the University's practices with its strategic objectives. 2. POLICY STATEMENT The Policy Framework consists

  5. Records Management Framework Policy Version 1.0

    E-Print Network [OSTI]

    Aickelin, Uwe

    and guidance materials provided to them by the Records Manager and for acting as the first point of contactRecords Management Framework Policy Version 1.0 Last amended: 01 September 2014 1. Introduction The Records Management Framework, or `RM Framework', is a network of Records Officers who will support

  6. A connectionist framework for reasoning: Reasoning with examples

    SciTech Connect (OSTI)

    Roth, D. [Weizmann Inst. of Science (Israel)

    1996-12-31T23:59:59.000Z

    We present a connectionist architecture that supports almost instantaneous deductive and abductive reasoning. The deduction algorithm responds in few steps for single rule queries and in general, takes time that is linear with the number of rules in the query. The abduction algorithm produces an explanation in few steps and the best explanation in time linear with the size of the assumption set. The size of the network is polynomially related to the size of other representations of the domain, and may even be smaller. We base our connectionist model on Valiant`s Neuroidal model (Val94) and thus make minimal assumptions about the computing elements, which are assumed to be classical threshold elements with states. Within this model we develop a reasoning framework that utilizes a model-based approach to reasoning (KKS93; KR94b). In particular, we suggest to interpret the connectionist architecture as encoding examples of the domain we reason about and show how to perform various reasoning tasks with this interpretation. We then show that the representations used can be acquired efficiently from interactions with the environment and discuss how this learning process influences the reasoning performance of the network.

  7. Smart Meter Privacy: A Utility-Privacy Framework

    E-Print Network [OSTI]

    Rajagopalan, S Raj; Mohajer, Soheil; Poor, H Vincent

    2011-01-01T23:59:59.000Z

    End-user privacy in smart meter measurements is a well-known challenge in the smart grid. The solutions offered thus far have been tied to specific technologies such as batteries or assumptions on data usage. Existing solutions have also not quantified the loss of benefit (utility) that results from any such privacy-preserving approach. Using tools from information theory, a new framework is presented that abstracts both the privacy and the utility requirements of smart meter data. This leads to a novel privacy-utility tradeoff problem with minimal assumptions that is tractable. Specifically for a stationary Gaussian Markov model of the electricity load, it is shown that the optimal utility-and-privacy preserving solution requires filtering out frequency components that are low in power, and this approach appears to encompass most of the proposed privacy approaches.

  8. Feedstock Production Datasets from the Bioenergy Knowledge Discovery Framework

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about] Holdings include datasets, models, and maps and the collections are growing due to both DOE contributions and data uploads from individuals.

  9. Biofuel Distribution Datasets from the Bioenergy Knowledge Discovery Framework

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about] Holdings include datasets, models, and maps and the collections are growing due to both DOE contributions and individuals' data uploads.

  10. Biofuel Production Datasets from DOE's Bioenergy Knowledge Discovery Framework (KDF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]

    Holdings include datasets, models, and maps and the collections arel growing due to both DOE contributions and data uploads from individuals.

  11. Feedstock Logistics Datasets from DOE's Bioenergy Knowledge Discovery Framework (KDF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. Holdings include datasets, models, and maps. [from https://www.bioenergykdf.net/content/about

  12. Framework for projecting employment and population changes accompanying energy development

    SciTech Connect (OSTI)

    Stenehjem, E.J.; Metzger, J.E.

    1980-05-01T23:59:59.000Z

    This report provides a framework which energy planners can use to readily estimate the size and timing of the population and employment changes associated with energy development. The direct employment requirements for eight different technologies are listed. This direct employment requirement can be combined with the set of employment multipliers and other information provided to obtain practical estimates of the employment and population impacts of new energy development. Some explanation is given for the variation of the multipliers among counties in the same region. A description is presented of a demographic model for deriving the annual population changes that can be expected as a result of in-migrating workers and their families. Several hypothetical examples of the procedure for making the calculations are discussed as practical exercises in using the multipliers. The necessary data are provided for obtaining estimates of population and employment changes in any county in the US.

  13. Multiscale Universal Interface: A Concurrent Framework for Coupling Heterogeneous Solvers

    E-Print Network [OSTI]

    Tang, Yu-Hang; Bian, Xin; Li, Zhen; Karniadakis, George E

    2014-01-01T23:59:59.000Z

    Concurrently coupled numerical simulations using heterogeneous solvers are powerful tools for modeling multiscale phenomena. However, major modifications to existing codes are often required to enable such simulations, posing significant difficulties in practice. In this paper we present a C++ library, i.e. the Multiscale Universal Interface (MUI), which is capable of facilitating the coupling effort for a wide range of multiscale simulations. The library adopts a header-only form with minimal external dependency and hence can be easily dropped into existing codes. A data sampler concept is introduced, combined with a hybrid dynamic/static typing mechanism, to create an easily customizable framework for solver-independent data interpretation. The library integrates MPI MPMD support and an asynchronous communication protocol to handle inter-solver information exchange irrespective of the solvers' own MPI awareness. Template metaprogramming is heavily employed to simultaneously improve runtime performance and c...

  14. Fuel Cycle Analysis Framework Base Cases for the IAEA/INPRO GAINS Collaborative Project

    SciTech Connect (OSTI)

    Brent Dixon

    2012-09-01T23:59:59.000Z

    Thirteen countries participated in the Collaborative Project GAINS “Global Architecture of Innovative Nuclear Energy Systems Based on Thermal and Fast Reactors Including a Closed Fuel Cycle”, which was the primary activity within the IAEA/INPRO Program Area B: “Global Vision on Sustainable Nuclear Energy” for the last three years. The overall objective of GAINS was to develop a standard framework for assessing future nuclear energy systems taking into account sustainable development, and to validate results through sample analyses. This paper details the eight scenarios that constitute the GAINS framework base cases for analysis of the transition to future innovative nuclear energy systems. The framework base cases provide a reference for users of the framework to start from in developing and assessing their own alternate systems. Each base case is described along with performance results against the GAINS sustainability evaluation metrics. The eight cases include four using a moderate growth projection and four using a high growth projection for global nuclear electricity generation through 2100. The cases are divided into two sets, addressing homogeneous and heterogeneous scenarios developed by GAINS to model global fuel cycle strategies. The heterogeneous world scenario considers three separate nuclear groups based on their fuel cycle strategies, with non-synergistic and synergistic cases. The framework base case analyses results show the impact of these different fuel cycle strategies while providing references for future users of the GAINS framework. A large number of scenario alterations are possible and can be used to assess different strategies, different technologies, and different assumptions about possible futures of nuclear power. Results can be compared to the framework base cases to assess where these alternate cases perform differently versus the sustainability indicators.

  15. Association of macroscopic laboratory testing and micromechanics modelling for the evaluation of the poroelastic parameters of a hardened cement paste

    E-Print Network [OSTI]

    Ghabezloo, Siavash

    2010-01-01T23:59:59.000Z

    The results of a macro-scale experimental study performed on a hardened class G cement paste [Ghabezloo et al. (2008) Cem. Con. Res. (38) 1424-1437] are used in association with the micromechanics modelling and homogenization technique for evaluation of the complete set of poroelastic parameters of the material. The experimental study consisted in drained, undrained and unjacketed isotropic compression tests. Analysis of the experimental results revealed that the active porosity of the studied cement paste is smaller than its total porosity. A multi-scale homogenization model, calibrated on the experimental results, is used to extrapolate the poroelastic parameters to cement pastes prepared with different water-to-cement ratio. The notion of cement paste active porosity is discussed and the poroelastic parameters of hardened cement paste for an ideal, perfectly drained condition are evaluated using the homogenization model.

  16. Association of macroscopic laboratory testing and micromechanics modelling for the evaluation of the poroelastic parameters of a hardened cement paste

    E-Print Network [OSTI]

    Siavash Ghabezloo

    2010-06-25T23:59:59.000Z

    The results of a macro-scale experimental study performed on a hardened class G cement paste [Ghabezloo et al. (2008) Cem. Con. Res. (38) 1424-1437] are used in association with the micromechanics modelling and homogenization technique for evaluation of the complete set of poroelastic parameters of the material. The experimental study consisted in drained, undrained and unjacketed isotropic compression tests. Analysis of the experimental results revealed that the active porosity of the studied cement paste is smaller than its total porosity. A multi-scale homogenization model, calibrated on the experimental results, is used to extrapolate the poroelastic parameters to cement pastes prepared with different water-to-cement ratio. The notion of cement paste active porosity is discussed and the poroelastic parameters of hardened cement paste for an ideal, perfectly drained condition are evaluated using the homogenization model.

  17. Enterprise Risk Management (ERM) Model - DOE Directives, Delegations...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Enterprise Risk Management (ERM) Model by Website Administrator The Enterprise Risk Management Model is a new standardized framework that the Department will be using to develop,...

  18. Sandia National Laboratories: models of various levels of fidelity...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Sandia received funding for its "Mechanistic Modeling Framework for Predicting Extreme Battery Response: Coupled Hierarchical Models for Thermal, Mechanical, Electrical and...

  19. EXTENSIONS OF GENERALIZED LINEAR MODELING APPROACH TO STOCHASTIC WEATHER GENERATORS

    E-Print Network [OSTI]

    Katz, Richard

    weather) -- Software R open source statistical programming language: Function glm "Family;(2) Generalized Linear Models Statistical Framework -- Multiple Regression Analysis (Linear model or LM) Response

  20. Evaluation Framework and Analyses for Thermal Energy Storage Integrated with Packaged Air Conditioning

    SciTech Connect (OSTI)

    Kung, F.; Deru, M.; Bonnema, E.

    2013-10-01T23:59:59.000Z

    Few third-party guidance documents or tools are available for evaluating thermal energy storage (TES) integrated with packaged air conditioning (AC), as this type of TES is relatively new compared to TES integrated with chillers or hot water systems. To address this gap, researchers at the National Renewable Energy Laboratory conducted a project to improve the ability of potential technology adopters to evaluate TES technologies. Major project outcomes included: development of an evaluation framework to describe key metrics, methodologies, and issues to consider when assessing the performance of TES systems integrated with packaged AC; application of multiple concepts from the evaluation framework to analyze performance data from four demonstration sites; and production of a new simulation capability that enables modeling of TES integrated with packaged AC in EnergyPlus. This report includes the evaluation framework and analysis results from the project.