Update 4 to: A Dispersion Modeling Analysis of Downwash from...
Office of Environmental Management (EM)
Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Unit 4 Emissions at Maximum and Minimum Loads Update 4 to: A Dispersion Modeling Analysis of Downwash...
Update 2 to: A Dispersion Modeling Analysis of Downwash from...
Office of Environmental Management (EM)
Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Unit 1 Emissions at Maximum and Minimum Loads Update 2 to: A Dispersion Modeling Analysis of Downwash...
Update 1 to: A Dispersion Modeling Analysis of Downwash from...
Office of Environmental Management (EM)
Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Unit 1 Emissions in a Cycling Mode Update 1 to: A Dispersion Modeling Analysis of Downwash from...
Update 5 to: A Dispersion Modeling Analysis of Downwash from...
Office of Environmental Management (EM)
5 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant: Modeling Cycling Units 1, 2 plus One Baseload Unit Update 5 to: A Dispersion Modeling...
Update 6 to: A Dispersion Modeling Analysis of Downwash from...
Broader source: Energy.gov (indexed) [DOE]
Update 6 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant Modeling Baseload Units 3,4,5 More Documents & Publications Attachment A: Modeling...
Update 3 to: A Dispersion Modeling Analysis of Downwash from...
Broader source: Energy.gov (indexed) [DOE]
Update 2 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Units 1 and 4 Together More Documents & Publications Update 1 to: A...
Dispersion modeling and analysis for multilayered open coaxial waveguides
Sven Nordebo; Gokhan Cinar; Stefan Gustafsson; Borje Nilsson
2014-02-20T23:59:59.000Z
This paper presents a detailed modeling and analysis regarding the dispersion characteristics of multilayered open coaxial waveguides. The study is motivated by the need of improved modeling and an increased physical understanding about the wave propagation phenomena on very long power cables which has a potential industrial application with fault localization and monitoring. The electromagnetic model is based on a layer recursive computation of axial-symmetric fields in connection with a magnetic frill generator excitation that can be calibrated to the current measured at the input of the cable. The layer recursive formulation enables a stable and efficient numerical computation of the related dispersion functions as well as a detailed analysis regarding the analytic and asymptotic properties of the associated determinants. Modal contributions as well as the contribution from the associated branch-cut (non-discrete radiating modes) are defined and analyzed. Measurements and modeling of pulse propagation on an 82 km long HVDC power cable are presented as a concrete example. In this example, it is concluded that the contribution from the second TM mode as well as from the branch-cut is negligible for all practical purposes. However, it is also shown that for extremely long power cables the contribution from the branch-cut can in fact dominate over the quasi-TEM mode for some frequency intervals. The main contribution of this paper is to provide the necessary analysis tools for a quantitative study of these phenomena.
Lazaro, M.
1989-06-01T23:59:59.000Z
The US Department of Energy is conducting the Weldon Spring Site Remedial Action Project under the Surplus Facilities Management Program (SFMP). The major goals of the SFMP are to eliminate potential hazards to the public and the environment that associated with contamination at SFMP sites and to make surplus property available for other uses to the extent possible. This report presents the results of analysis of available meteorological data from stations near the Weldon Spring site. Data that are most representative of site conditions are needed to accurately model the transport and dispersion of air pollutants associated with remedial activities. Such modeling will assist the development of mitigative measures. 17 refs., 12 figs., 6 tabs.
Burian, S. J. (Steven J.); Brown, M. J. (Michael J.); Ching, J. (Jason); Cheuk, M. L. (Mang Lung); Yuan, M. (May); McKinnon, A. T. (Andrew T.); Han, W. S. (Woo Suk)
2004-01-01T23:59:59.000Z
Accurate predictions of air quality and atmospheric dispersion at high spatial resolution rely on high fidelity predictions of mesoscale meteorological fields that govern transport and turbulence in urban areas. However, mesoscale meteorological models do not have the spatial resolution to directly simulate the fluid dynamics and thermodynamics in and around buildings and other urban structures that have been shown to modify micro- and mesoscale flow fields (e.g., see review by Bornstein 1987). Mesoscale models therefore have been adapted using numerous approaches to incorporate urban effects into the simulations (e.g., see reviews by Brown 2000 and Bornstein and Craig 2002). One approach is to introduce urban canopy parameterizations to approximate the drag, turbulence production, heating, and radiation attenuation induced by sub-grid scale buildings and urban surface covers (Brown 2000). Preliminary results of mesoscale meteorological and air quality simulations for Houston (Dupont et al. 2004) demonstrated the importance of introducing urban canopy parameterizations to produce results with high spatial resolution that accentuates variability, highlights important differences, and identifies critical areas. Although urban canopy parameterizations may not be applicable to all meteorological and dispersion models, they have been successfully introduced and demonstrated in many of the current operational and research mode mesoscale models, e.g., COAMPS (Holt et al. 2002), HOTMAC (Brown and Williams 1998), MM5 (e.g., Otte and Lacser 2001; Lacser and Otte 2002; Dupont et al. 2004), and RAMS (Rozoff et al. 2003). The primary consequence of implementing an urban parameterization in a mesoscale meteorological model is the need to characterize the urban terrain in greater detail. In general, urban terrain characterization for mesoscale modeling may be described as the process of collecting datasets of urban surface cover physical properties (e.g., albedo, emissivity) and morphology (i.e., ground elevation, building and tree height and geometry characteristics) and then processing the data to compute physical cover and morphological parameters. Many of the surface cover and morphological parameters required for mesoscale meteorological models are also needed by atmospheric dispersion models. Thus, most of the discussion below is relevant to both types of modeling. In this paper, the term urban morphological analysis will be used to define the component of urban terrain characterization concerned with the morphological parameters. Furthermore, the focus will be building morphological parameters; therefore, the term urban morphological analysis will refer exclusively to the task of inventorying, computing or estimating building morphological parameters. Several approaches to perform urban morphological analysis exist; however, all have in common three types of practice issues related to the uncertainty of (1) data, (2) parameter definitions and calculation methods, and (3) extrapolation techniques. The objective of this paper is to describe the state-of-the-practice of urban morphological analysis by reviewing the primary approaches presented in the literature and outlining and commenting on key aspects of the three types of practice issues listed above.
Analysis Of Residence Time Distribution Of Fluid Flow By Axial Dispersion Model
Sugiharto [Department of Physics, Faculty of Mathematics and Natural Sciences, Bandung Institute of Technology, Jl. Ganesha 10, Bandung 40132 (Indonesia); Centre for Applications of Isotopes and Radiation Technology-National Nuclear Energy Agency, Jl. Lebak Bulus Raya No. 49, Jakarta 12440 (Indonesia); Su'ud, Zaki; Kurniadi, Rizal; Waris, Abdul [Centre for Applications of Isotopes and Radiation Technology-National Nuclear Energy Agency, Jl. Lebak Bulus Raya No. 49, Jakarta 12440 (Indonesia); Abidin, Zainal [Department of Physics, Faculty of Mathematics and Natural Sciences, Bandung Institute of Technology, Jl. Ganesha 10, Bandung 40132 (Indonesia)
2010-12-23T23:59:59.000Z
Radioactive tracer {sup 82}Br in the form of KBr-82 with activity {+-} 1 mCi has been injected into steel pipeline to qualify the extent dispersion of water flowing inside it. Internal diameter of the pipe is 3 in. The water source was originated from water tank through which the water flow gravitically into the pipeline. Two collimated sodium iodide detectors were used in this experiment each of which was placed on the top of the pipeline at the distance of 8 and 11 m from injection point respectively. Residence time distribution (RTD) curves obtained from injection of tracer are elaborated numerically to find information of the fluid flow properties. The transit time of tracer calculated from the mean residence time (MRT) of each RTD curves is 14.9 s, therefore the flow velocity of the water is 0.2 m/s. The dispersion number, D/uL, for each RTD curve estimated by using axial dispersion model are 0.055 and 0.06 respectively. These calculations are performed after fitting the simulated axial dispersion model on the experiment curves. These results indicated that the extent of dispersion of water flowing in the pipeline is in the category of intermediate.
Dispersive analysis of ?/? ? 3?, ??*
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Danilkin, Igor V.; Fernandez Ramirez, Cesar; Guo, Peng; Mathieu, Vincent; Schott, Diane M.; Shi, Meng; Szczepaniak, Adam P.
2015-05-01T23:59:59.000Z
The decays ?/? ? 3? are considered in the dispersive framework that is based on the isobar decomposition and subenergy unitarity. The inelastic contributions are parametrized by the power series in a suitably chosen conformal variable that properly accounts for the analytic properties of the amplitude. The Dalitz plot distributions and integrated decay widths are presented. Our results indicate that the final- state interactions may be sizable. As a further application of the formalism we also compute the electromagnetic transition form factors of ?/? ? ???*.
Modeling volcanic ash dispersal
None
2011-10-06T23:59:59.000Z
Explosive volcanic eruptions inject into the atmosphere large amounts of volcanic material (ash, blocks and lapilli). Blocks and larger lapilli follow ballistic and non-ballistic trajectories and fall rapidly close to the volcano. In contrast, very fine ashes can remain entrapped in the atmosphere for months to years, and may affect the global climate in the case of large eruptions. Particles having sizes between these two end-members remain airborne from hours to days and can cover wide areas downwind. Such volcanic fallout entails a serious threat to aircraft safety and can create many undesirable effects to the communities located around the volcano. The assessment of volcanic fallout hazard is an important scientific, economic, and political issue, especially in densely populated areas. From a scientific point of view, considerable progress has been made during the last two decades through the use of increasingly powerful computational models and capabilities. Nowadays, models are used to quantify hazard scenarios and/or to give short-term forecasts during emergency situations. This talk will be focused on the main aspects related to modeling volcanic ash dispersal and fallout with application to the well known problem created by the Eyjafjöll volcano in Iceland. Moreover, a short description of the main volcanic monitoring techniques is presented.
Office of Environmental Management (EM)
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 1,006 492 742 33 1112011AT&T,Office of Policy,Policy ActDetroit EdisonCity, Arizona, SiteDiscussionDispersion
Review of the ENSR Report Titled "Update 1 to: A Dispersion Modeling...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
"Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant" Review of the ENSR Report Titled "Update 1 to: A Dispersion Modeling Analysis of...
Doran, J. C.; Fast, Jerome D.; Barnard, James C.; Laskin, Alexander; Desyaterik, Yury; Gilles, Marry K.; Hopkins, Rebecca J.
2008-03-07T23:59:59.000Z
We use a Lagrangian dispersion model driven by a mesoscale model with four-dimensional data assimilation to simulate the dispersion of elemental carbon (EC) over a region encompassing Mexico City and its surroundings, the study domain for the 2006 MAX-MEX experiment, which was a component of the MILAGRO campaign. The results are used to identify periods when biomass burning was likely to have had a significant impact on the concentrations of elemental carbon at two sites, T1 and T2, downwind of the city, and when emissions from the Mexico City Metropolitan Area (MCMA) were likely to have been more important. They are also used to estimate the median ages of EC affecting the specific absorption of light, aABS, at 870 nm as well as to identify periods when the urban plume from the MCMA was likely to have been advected over T1 and T2. Values of aABS at T1, the nearer of the two sites to Mexico City, were smaller at night and increased rapidly after mid-morning, peaking in the mid-afternoon. The behavior is attributed to the coating of aerosols with substances such as sulfate or organic carbon during daylight hours, but such coating appears to be limited or absent at night. Evidence for this is provided by scanning electron microscope images of aerosols collected at three sampling sites. During daylight hours the values of aABS did not increase with aerosol age for median ages in the range of 1-4 hours. There is some evidence for absorption increasing as aerosols were advected from T1 to T2 but the statistical significance of that result is not strong.
Dense gas dispersion modeling for aqueous releases
Lara, Armando
1999-01-01T23:59:59.000Z
DENSE GAS DISPERSION MODELING FOR AQUEOUS RELEASES A Thesis by ARMANDO LARA Submitted to the Office of Graduate Studies of Texas A&M University In partial fulfill ment of the requirements for the degree of MASTER OF SCIENCE May 1999 Major... Modeling for Aqueous Releases. (May 1999) Armando Lara, B. S. , University of Houston Chair of Advisory Committee: Dr. Sam Mannan Production, transportation, and storage of hazardous chemicals represent potential risks to the environment, the public...
Rest, J.
1995-08-01T23:59:59.000Z
This report describes the primary physical models that form the basis of the DART mechanistic computer model for calculating fission-product-induced swelling of aluminum dispersion fuels; the calculated results are compared with test data. In addition, DART calculates irradiation-induced changes in the thermal conductivity of the dispersion fuel, as well as fuel restructuring due to aluminum fuel reaction, amorphization, and recrystallization. Input instructions for execution on mainframe, workstation, and personal computers are provided, as is a description of DART output. The theory of fission gas behavior and its effect on fuel swelling is discussed. The behavior of these fission products in both crystalline and amorphous fuel and in the presence of irradiation-induced recrystallization and crystalline-to-amorphous-phase change phenomena is presented, as are models for these irradiation-induced processes.
Price, Jacqueline Elaine
2004-11-15T23:59:59.000Z
backward Lagrangian stochastic model and a Gaussian plume dispersion model. This analysis assessed the uncertainty surrounding each sampling procedure in order to gain a better understanding of the uncertainty in the final emission rate calculation (a basis...
Supercontinuum generation in photonic crystal fibres: Modelling and dispersion engineering
Supercontinuum generation in photonic crystal fibres: Modelling and dispersion engineering . . . . . . . . . . . . . . . . . 22 2.4 The split-step Fourier method . . . . . . . . . . . . . . . . . . 25 #12;iv CONTENTS 2
Series evaluation of Tweedie exponential dispersion model densities
Smyth, Gordon K.
of Mathematics and Computing University of Southern Queensland Toowoomba, Qld 4350, Australia Gordon K. Smyth 3052, Australia smyth@wehi.edu.au 23 February 2005 Abstract Exponential dispersion models, which for generalized linear models. The Tweedie families are those exponential dispersion models with power mean
On a nonlocal dispersive equation modeling particle suspensions
Zumbrun, Kevin
On a nonlocal dispersive equation modeling particle suspensions Kevin Zumbrun July, 1996 Abstract: We study a nonlocal, scalar conservation law, u t + ((K a \\Lambda u)u) x = 0, modeling sedimentation, and \\Lambda represents convolution. We show this to be a dispersive regularization of the Hopf equation, u
Polydispersity analysis of Taylor dispersion data: the cumulant method
Luca Cipelletti; Jean-Philippe Biron; Michel Martin; Hervé Cottet
2014-08-26T23:59:59.000Z
Taylor dispersion analysis is an increasingly popular characterization method that measures the diffusion coefficient, and hence the hydrodynamic radius, of (bio)polymers, nanoparticles or even small molecules. In this work, we describe an extension to current data analysis schemes that allows size polydispersity to be quantified for an arbitrary sample, thereby significantly enhancing the potentiality of Taylor dispersion analysis. The method is based on a cumulant development similar to that used for the analysis of dynamic light scattering data. Specific challenges posed by the cumulant analysis of Taylor dispersion data are discussed, and practical ways to address them are proposed. We successfully test this new method by analyzing both simulated and experimental data for solutions of moderately polydisperse polymers and polymer mixtures.
A dynamic model for the Lagrangian stochastic dispersion coefficient
Pesmazoglou, I.; Navarro-Martinez, S., E-mail: s.navarro@imperial.ac.uk [Department of Mechanical Engineering, Imperial College, London SW7 2AZ (United Kingdom); Kempf, A. M. [Chair of Fluid Dynamics, Institute for Combustion and Gasdynamics and Center for Computational Sciences and Simulation, Universität Duisburg-Essen, Duisburg, 47048 (Germany)] [Chair of Fluid Dynamics, Institute for Combustion and Gasdynamics and Center for Computational Sciences and Simulation, Universität Duisburg-Essen, Duisburg, 47048 (Germany)
2013-12-15T23:59:59.000Z
A stochastic sub-grid model is often used to accurately represent particle dispersion in turbulent flows using large eddy simulations. Models of this type have a free parameter, the dispersion coefficient, which is not universal and is strongly grid-dependent. In the present paper, a dynamic model for the evaluation of the coefficient is proposed and validated in decaying homogeneous isotropic turbulence. The grid dependence of the static coefficient is investigated in a turbulent mixing layer and compared to the dynamic model. The dynamic model accurately predicts dispersion statistics and resolves the grid-dependence. Dispersion statistics of the dynamically calculated constant are more accurate than any static coefficient choice for a number of grid spacings. Furthermore, the dynamic model produces less numerical artefacts than a static model and exhibits smaller sensitivity in the results predicted for different particle relaxation times.
Modelling long-distance seed dispersal in heterogeneous landscapes.
Levey, Douglas, J.; Tewlsbury, Joshua, J.; Bolker, Benjamin, M.
2008-01-01T23:59:59.000Z
1. Long-distance seed dispersal is difficult to measure, yet key to understanding plant population dynamics and community composition. 2. We used a spatially explicit model to predict the distribution of seeds dispersed long distances by birds into habitat patches of different shapes. All patches were the same type of habitat and size, but varied in shape. They occurred in eight experimental landscapes, each with five patches of four different shapes, 150 m apart in a matrix of mature forest. The model was parameterized with smallscale movement data collected from field observations of birds. In a previous study we validated the model by testing its predictions against observed patterns of seed dispersal in real landscapes with the same types and spatial configuration of patches as in the model. 3. Here we apply the model more broadly, examining how patch shape influences the probability of seed deposition by birds into patches, how dispersal kernels (distributions of dispersal distances) vary with patch shape and starting location, and how movement of seeds between patches is affected by patch shape. 4. The model predicts that patches with corridors or other narrow extensions receive higher numbers of seeds than patches without corridors or extensions. This pattern is explained by edgefollowing behaviour of birds. Dispersal distances are generally shorter in heterogeneous landscapes (containing patchy habitat) than in homogeneous landscapes, suggesting that patches divert the movement of seed dispersers, ‘holding’ them long enough to increase the probability of seed defecation in the patches. Dispersal kernels for seeds in homogeneous landscapes were smooth, whereas those in heterogenous landscapes were irregular. In both cases, long-distance (> 150 m) dispersal was surprisingly common, usually comprising approximately 50% of all dispersal events. 5. Synthesis . Landscape heterogeneity has a large influence on patterns of long-distance seed dispersal. Our results suggest that long-distance dispersal events can be predicted using spatially explicit modelling to scale-up local movements, placing them in a landscape context. Similar techniques are commonly used by landscape ecologists to model other types of movement; they offer much promise to the study of seed dispersal.
Dispersion modeling for prediction of emission factors for cattle feedyards
Parnell, Sarah Elizabeth
1994-01-01T23:59:59.000Z
of state air pollution regulatory agencies will require accurate EPA AP-42 emission factors. A protocol was developed so that accurate emission factors can be determined using both source sampling data and dispersion modeling. In this study, an emission...
Weakly dispersive hydraulic flows in a contraction --Nonlinear stability analysis
Ee, Bernard Kuowei
Weakly dispersive hydraulic flows in a contraction -- Nonlinear stability analysis Bernard K. Ee hydraulic solutions of the forced Korteweg de-Vries equation is investigated here. For numerical convenience is destabilized by a hydraulic instability in which superexponential growth occurs prior to satura- tion
Coupling traffic models on networks and urban dispersion models for simulating sustainable
Ceragioli, Francesca
models for modeling and testing different traffic scenarios, in order to define the impact on air quality it with the urban dispersion model Sirane. Keywords: urban air quality, macroscopic traffic models, road networks, pollutant dispersion models, traffic emissions control. AMS subject classification: 35L65, 35L67, 60K30, 90B
Development of a GIS Based Dust Dispersion Modeling System.
Rutz, Frederick C.; Hoopes, Bonnie L.; Crandall, Duard W.; Allwine, K Jerry
2004-08-12T23:59:59.000Z
With residential areas moving closer to military training sites, the effects upon the environment and neighboring civilians due to dust generated by training exercises has become a growing concern. Under a project supported by the Strategic Environmental Research and Development Program (SERDP) of the Department of Defense, a custom application named DUSTRAN is currently under development that integrates a system of EPA atmospheric dispersion models with the ArcGIS application environment in order to simulate the dust dispersion generated by a planned training maneuver. This integration between modeling system and GIS application allows for the use of real world geospatial data such as terrain, land-use, and domain size as input by the modeling system. Output generated by the modeling system, such as concentration and deposition plumes, can then be displayed upon accurate maps representing the training site. This paper discusses the development of this integration between modeling system and Arc GIS application.
Fitting Tweedie's Compound Poisson Model to Insurance Claims Data: Dispersion Modelling
Smyth, Gordon K.
. Smyth Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia Bent Jørgensen, dispersion modelling, double generalized linear models, power variance function, REML, risk theory of Medical Research, Post Office, Royal Melbourne Hospital, Parkville, VIC 3050, Australia 1 #12
Creation of the model and implementation of the simulation of dispersion of air pollution in urban
Bargiela, Andrzej
Creation of the model and implementation of the simulation of dispersion of air pollution in urban..............................................................................................................1 1.2. Types of models of dispersion of air pollution was creation of the mathematical model and application of the simulation of dispersion of vehicular air
The Lagrangian particle dispersion model FLEXPART-WRF VERSION 3.1
Brioude, J.; Arnold, D.; Stohl, A.; Cassiani, M.; Morton, Don; Seibert, P.; Angevine, W. M.; Evan, S.; Dingwell, A.; Fast, Jerome D.; Easter, Richard C.; Pisso, I.; Bukhart, J.; Wotawa, G.
2013-11-01T23:59:59.000Z
The Lagrangian particle dispersion model FLEXPART was originally designed for cal- culating long-range and mesoscale dispersion of air pollutants from point sources, such as after an accident in a nuclear power plant. In the meantime FLEXPART has evolved into a comprehensive tool for atmospheric transport modeling and analysis at different scales. This multiscale need from the modeler community has encouraged new developments in FLEXPART. In this document, we present a version that works with the Weather Research and Forecasting (WRF) mesoscale meteoro- logical model. Simple procedures on how to run FLEXPART-WRF are presented along with special options and features that differ from its predecessor versions. In addition, test case data, the source code and visualization tools are provided to the reader as supplementary material.
Air Dispersion Modeling for Building 3026C/D Demolition
Ward, Richard C [ORNL; Sjoreen, Andrea L [ORNL; Eckerman, Keith F [ORNL
2010-06-01T23:59:59.000Z
This report presents estimates of dispersion coefficients and effective dose for potential air dispersion scenarios of uncontrolled releases from Oak Ridge National Laboratory (ORNL) buildings 3026C, 3026D, and 3140 prior to or during the demolition of the 3026 Complex. The Environmental Protection Agency (EPA) AERMOD system1-6 was used to compute these estimates. AERMOD stands for AERMIC Model, where AERMIC is the American Meteorological Society-EPA Regulatory Model Improvement Committee. Five source locations (three in building 3026D and one each in building 3026C and the filter house 3140) and associated source characteristics were determined with the customer. In addition, the area of study was determined and building footprints and intake locations of air-handling systems were obtained. In addition to the air intakes, receptor sites consisting of ground level locations on four polar grids (50 m, 100 m, 200 m, and 500 m) and two intersecting lines of points (50 m separation), corresponding to sidewalks along Central Avenue and Fifth Street. Three years of meteorological data (2006 2008) were used each consisting of three datasets: 1) National Weather Service data; 2) upper air data for the Knoxville-Oak Ridge area; and 3) local weather data from Tower C (10 m, 30 m and 100 m) on the ORNL reservation. Annual average air concentration, highest 1 h average and highest 3 h average air concentrations were computed using AERMOD for the five source locations for the three years of meteorological data. The highest 1 h average air concentrations were converted to dispersion coefficients to characterize the atmospheric dispersion as the customer was interested in the most significant response and the highest 1 h average data reflects the best time-averaged values available from the AERMOD code. Results are presented in tabular and graphical form. The results for dose were obtained using radionuclide activities for each of the buildings provided by the customer.7 Radiation dose was calculated assuming complete release of the building inventory as information was lacking regarding the portion of the building inventory expected to be released. Thus the results are derived using an extremely conservative release as documented in the Preliminary Hazard Screening report.7 To more closely approximate the result of a release, one must estimate the fraction of the total inventory released and multiply the results described above by that fraction. An example of how this calculation is accomplished is provided. Should an actual uncontrolled release occur, the results of this modeling effort could only be used to establish a rough order-of-magnitude for the event.
Nonlocal extension of the dispersive-optical-model to describe data below the Fermi energy
Dickhoff, W H; Waldecker, S J; Charity, R J; Sobotka, L G
2010-01-01T23:59:59.000Z
Present applications of the dispersive-optical-model analysis are restricted by the use of a local but energy-dependent version of the generalized Hartree-Fock potential. This restriction is lifted by the introduction of a corresponding nonlocal potential without explicit energy dependence. Such a strategy allows for a complete determination of the nucleon propagator below the Fermi energy with access to the expectation value of one-body operators (like the charge density), the one-body density matrix with associated natural orbits, and complete spectral functions for removal strength. The present formulation of the dispersive optical model (DOM) therefore allows the use of elastic electron-scattering data in determining its parameters. Application to ${}^{40}$Ca demonstrates that a fit to the charge radius leads to too much charge near the origin using the conventional assumptions of the functional form of the DOM. A corresponding incomplete description of high-momentum components is identified, suggesting t...
Performance Analysis of Dispersed Spectrum Cognitive Radio Systems
Mohammad, Muneer
2011-02-22T23:59:59.000Z
probability of dispersed spectrum cognitive radio systems is derived for two cases: where each channel realization experiences independent and dependent Nakagami-m fading, respectively. In addition, the derivation is extended to include the effects...
Bayesian Network Analysis of Radiological Dispersal Device Acquisitions
Hundley, Grant Richard
2012-02-14T23:59:59.000Z
inflict moderate human casualties and significant economic damage. The vast availability of radioactive sources and the nearly limitless methods of dispersing them demand an inclusive study of the acquisition pathways for an RDD. A complete network...
Results and analysis of reactor-material experiments on ex-vessel corium quench and dispersal
Spencer, B.W.; McUmber, L.M.; Sienicki, J.J.; Squarer, D.
1984-01-01T23:59:59.000Z
Results of reactor-material experiments and related analysis are described in which molten corium is injected into a mock-up of the reactor cavity region of a PWR. The experiments address ex-vessel interactions such as steam generation (for those cases in which water is present), water and corium dispersal from the cavity, hydrogen generation, direct atmosphere heating by dispersed corium, and debris characterization. Test results indicate efficiencies of steam generation by corium quench ranging up to 65%. Corium sweepout of up to 62% of the injected material was found for those conditions in which steam generation flowrate was augmented by vessel blowdown. The dispersed corium caused very little direct heating of the atmosphere for the configuration employing a trap at the exit of the cavity-to-containment pathway. Corium sweepout phenomena were modeled for high-pressure blowdown conditions, and the results applied to the full-size reactor system predict essentially complete sweepout of corium from the reactor cavity.
A model for P-wave attenuation and dispersion in a porous medium ...
lll
2005-09-05T23:59:59.000Z
Theoretical models of attenuation and dispersion due to wave-induced fluid flow ...... anisotropic layered fluid- and gas-saturated sediments, Geophysics, 62,.
Analysis of Tracer Dispersion During a Prescribed Forest Burn
Collins, Gary S.
. Additionally, a sulfur hexafluoride (SF6) tracer dispersion test was conducted by releasing SF6 from a line source within the burn and measuring SF6 concentrations at the supertower. Supertower Instrumentation (TGAPS) connected to a CO2 closed path Licor LI-6262 and a SF6 detector (7 inlet locations) ·Cambell CSAT
Liquefied Natural Gas (LNG) Vapor Dispersion Modeling with Computational Fluid Dynamics Codes
Qi, Ruifeng
2012-10-19T23:59:59.000Z
Federal regulation 49 CFR 193 and standard NFPA 59A require the use of validated consequence models to determine the vapor cloud dispersion exclusion zones for accidental liquefied natural gas (LNG) releases. For modeling purposes, the physical...
Harper, F.T.; Young, M.L.; Miller, L.A. [Sandia National Labs., Albuquerque, NM (United States); Hora, S.C. [Univ. of Hawaii, Hilo, HI (United States); Lui, C.H. [Nuclear Regulatory Commission, Washington, DC (United States); Goossens, L.H.J.; Cooke, R.M. [Delft Univ. of Technology (Netherlands); Paesler-Sauer, J. [Research Center, Karlsruhe (Germany); Helton, J.C. [and others
1995-01-01T23:59:59.000Z
The development of two new probabilistic accident consequence codes, MACCS and COSYMA, was completed in 1990. These codes estimate the risks presented by nuclear installations based on postulated frequencies and magnitudes of potential accidents. In 1991, the US Nuclear Regulatory Commission (NRC) and the Commission of the European Communities (CEC) began a joint uncertainty analysis of the two codes. The ultimate objective of the joint effort was to develop credible and traceable uncertainty distributions for the input variables of the codes. Expert elicitation was identified as the best technology available for developing a library of uncertainty distributions for the selected consequence parameters. The study was formulated jointly and was limited to the current code models and to physical quantities that could be measured in experiments. Experts developed their distributions independently. To validate the distributions generated for the wet deposition input variables, samples were taken from these distributions and propagated through the wet deposition code model. Resulting distributions closely replicated the aggregated elicited wet deposition distributions. To validate the distributions generated for the dispersion code input variables, samples from the distributions and propagated through the Gaussian plume model (GPM) implemented in the MACCS and COSYMA codes. Project teams from the NRC and CEC cooperated successfully to develop and implement a unified process for the elaboration of uncertainty distributions on consequence code input parameters. Formal expert judgment elicitation proved valuable for synthesizing the best available information. Distributions on measurable atmospheric dispersion and deposition parameters were successfully elicited from experts involved in the many phenomenological areas of consequence analysis. This volume is the first of a three-volume document describing the project.
Harper, F.T.; Young, M.L.; Miller, L.A. [Sandia National Labs., Albuquerque, NM (United States); Hora, S.C. [Univ. of Hawaii, Hilo, HI (United States); Lui, C.H. [Nuclear Regulatory Commission, Washington, DC (United States); Goossens, L.H.J.; Cooke, R.M. [Delft Univ. of Technology (Netherlands); Paesler-Sauer, J. [Research Center, Karlsruhe (Germany); Helton, J.C. [and others
1995-01-01T23:59:59.000Z
The development of two new probabilistic accident consequence codes, MACCS and COSYMA, completed in 1990, estimate the risks presented by nuclear installations based on postulated frequencies and magnitudes of potential accidents. In 1991, the US Nuclear Regulatory Commission (NRC) and the Commission of the European Communities (CEC) began a joint uncertainty analysis of the two codes. The objective was to develop credible and traceable uncertainty distributions for the input variables of the codes. Expert elicitation, developed independently, was identified as the best technology available for developing a library of uncertainty distributions for the selected consequence parameters. The study was formulated jointly and was limited to the current code models and to physical quantities that could be measured in experiments. To validate the distributions generated for the wet deposition input variables, samples were taken from these distributions and propagated through the wet deposition code model along with the Gaussian plume model (GPM) implemented in the MACCS and COSYMA codes. Resulting distributions closely replicated the aggregated elicited wet deposition distributions. Project teams from the NRC and CEC cooperated successfully to develop and implement a unified process for the elaboration of uncertainty distributions on consequence code input parameters. Formal expert judgment elicitation proved valuable for synthesizing the best available information. Distributions on measurable atmospheric dispersion and deposition parameters were successfully elicited from experts involved in the many phenomenological areas of consequence analysis. This volume is the second of a three-volume document describing the project and contains two appendices describing the rationales for the dispersion and deposition data along with short biographies of the 16 experts who participated in the project.
Quantification and prediction of extreme events in a one-dimensional nonlinear dispersive wave model
Will Cousins; Themistoklis P. Sapsis
2014-01-15T23:59:59.000Z
The aim of this work is the quantification and prediction of rare events characterized by extreme intensity in nonlinear waves with broad spectra. We consider a one-dimensional non- linear model with deep-water waves dispersion relation, the Majda-McLaughlin-Tabak (MMT) model, in a dynamical regime that is characterized by broadband spectrum and strong non- linear energy transfers during the development of intermittent events with finite-lifetime. To understand the energy transfers that occur during the development of an extreme event we perform a spatially localized analysis of the energy distribution along different wavenumbers by means of the Gabor transform. A stochastic analysis of the Gabor coefficients reveals i) the low-dimensionality of the intermittent structures, ii) the interplay between non-Gaussian statis- tical properties and nonlinear energy transfers between modes, as well as iii) the critical scales (or critical Gabor coefficients) where a critical amount of energy can trigger the formation of an extreme event. We analyze the unstable character of these special localized modes directly through the system equation and show that these intermittent events are due to the interplay of the system nonlinearity, the wave dispersion, and the wave dissipation which mimics wave breaking. These localized instabilities are triggered by random localizations of energy in space, created by the dispersive propagation of low-amplitude waves with random phase. Based on these properties, we design low-dimensional functionals of these Gabor coefficients that allow for the prediction of the extreme event well before the nonlinear interactions begin to occur.
A fractional dispersion model for overland solute transport
Deng, Zhi-Qiang; de Lima, M. Isabel P.; Singh, Vijay P.; de Lima, Jo??o L. M. P.
2006-03-18T23:59:59.000Z
. It is apparent from Figure 1 and the above-mentioned variance analysis that (1) the relationship between variance and time does not simply follow a power law, although approximate power-law relations may be found in some cases; and (2) a polynomial equation... with a variable power index can best describe the relation between vari- ance and time. These characteristics of the variance of observed concentration distributions are difficult to predict using existing integer-order models. In fact, the infinite...
Telescopic Time-Scale Bridging for Modeling Dispersion in Rapidly Oscillating Flows
Zakhor, Avideh
Telescopic Time-Scale Bridging for Modeling Dispersion in Rapidly Oscillating Flows Ram K between the oscillation and dispersion time scales. Here, we present a methodology based on an implicit introduced errors. The error was found to decrease with mesh refinement, but a small inherent error
Modeling of the multiscale dispersion of nanoparticles in a hematite coating , F. Willot1
Boyer, Edmond
Modeling of the multiscale dispersion of nanoparticles in a hematite coating E. Couka1 , F. Willot1 conclude in Sec. (6). 2. Hematite nanocubes coating 2.1. Dispersion of nanoparticles In this work, we-Auguste Desbruères, 91003 Evry, France. Images of a hematite-based epoxy coating are obtained by scanning electron
Title of dissertation: Dispersion of ion gyrocenters in models of anisotropic plasma turbulence
Anlage, Steven
ABSTRACT Title of dissertation: Dispersion of ion gyrocenters in models of anisotropic plasma Department of Physics Turbulent dispersion of ion gyrocenters in a magnetized plasma is studied gradient, the focus is on transport parallel to the shear flow. The prescribed flow produces strongly
Washburn, Libe
2004-01-01T23:59:59.000Z
Continental Shelf Research 24 (2004) 20292043 A conceptual model for river water and sediment and Beardsley, 1995; Geyer et al., 1996), while its sediment is dispersed primarily by bottom bound- ary layer dispersal in the Santa Barbara Channel, California Jonathan A. Warricka,Ã, Leal A.K. Mertesb , Libe
Fractional advection-dispersion equations for1 modeling transport at the Earth surface2
Bäumer, Boris
Fractional advection-dispersion equations for1 modeling transport at the Earth surface2 Rina partial differential equations such as the advection-dispersion equation12 (ADE) begin with assumptions biomechanical transport and mixing29 by bioturbation, and the transport of sediment particles and sediment
DEGADIS (dense gas dispersion) model, Version 2. 1 (for microcomputers). Model-Simulation
Guinnup, D.
1989-01-01T23:59:59.000Z
An improved Jet-Plume model has been interfaced with DEGADIS to provide for prediction of the trajectory and dilution of elevated dense gas jets to ground contact. DEGADIS predicts the ensuing ground-level plume dispersion. The Jet-Plume model provides for: automatic adjustment of integration step-size (using the Runge-Kutta-Gill method as in DEGADIS): elliptical plume shape (cross-section), with the Pasquill-Gifford plume dispersion coefficient representation of atmospheric turbulent entrainment; user specification of averaging time; ground reflection when the plume (lower) boundary reaches ground level; and application to scenarios where the plume remains aloft. The model should be uploaded via modem from a PC terminal to host a VAX computer, and several files must then be renamed prior to compilation and execution. The program is written in FORTRAN for compilation and execution on a DEC VAX Computer.
Air dispersion modeling of particulate matter from ground-level area sources
Meister, Michael Todd
2000-01-01T23:59:59.000Z
State Air Pollution Regulatory Agencies (SAPRAs) often use dispersion modeling to predict downwind concentrations of particulate matter (PM) from a facility. As such, a facility may be granted or denied an operating permit ...
Price, Jacqueline Elaine
2004-11-15T23:59:59.000Z
Engineering directly impacts current and future regulatory policy decisions. The foundation of air pollution control and air pollution dispersion modeling lies in the math, chemistry, and physics of the environment. ...
GIS and plume dispersion modeling for population exposure assessment
Archer, Jeffrey Keith
1998-01-01T23:59:59.000Z
. CHAPTER vll I INTRODUCTION. II REVIEW OF PREVIOUS RESEARCH III JUSTIFICATION AND OBJECTIVES. 3. 1 Justification. 3. 2 Project Objectives. IV METHODOLOGY . . . 15 . 15 . . . 17 . . 19 4. 1 The Study Site. 4. 2 Pollution Plume Dispersion Data.... 4. 3 Spatial and Demographic Data. 4. 4 Data Integration. V RESULTS. . . . . 19 . . . 21 . . . 36 . . 45 VI CONCLUSIONS. . . . . 60 6. 1 Conclusions, 6. 2 Room for Improvement. REFERENCES. APPENDIX A: Charts and Data Sheets. 60 . . . 61...
Atmospheric Dispersion Modeling: Challenges of the Fukushima Daiichi Response
Sugiyama, Gayle [Lawrence Livermore National Laboratory; Nasstrom, John [Lawrence Livermore National Laboratory; Pobanz, Brenda [Lawrence Livermore National Laboratory; Foster, Kevin [Lawrence Livermore National Laboratory; Simpson, Matthew [Lawrence Livermore National Laboratory; Vogt, Phil [Lawrence Livermore National Laboratory; Aluzzi, Fernando [Lawrence Livermore National Laboratory; Homann, Steve [Lawrence Livermore National Laboratory
2012-05-01T23:59:59.000Z
The U.S. Department of Energy’s (DOE) National Atmospheric Release Advisory Center (NARAC) provided a wide range of predictions and analyses as part of the response to the Fukushima Daiichi Nuclear Power Plant accident. This work encompassed: weather forecasts and atmospheric transport predictions, estimates of possible dose in Japan based on hypothetical U.S. Nuclear Regulatory Commission scenarios of potential radionuclide releases, predictions of possible plume arrival times and dose levels at U.S. locations, and source estimation and plume model refinement. An overview of NARAC response activities is provided, along with a more in-depth discussion of some of NARAC’s preliminary source reconstruction analyses. NARAC optimized the overall agreement of model predictions to dose rate measurements using statistical comparisons of data and model values paired in space and time. Estimated emission rates varied depending on the choice of release assumptions (e.g., time-varying vs. constant release rates), the radionuclide mix, meteorology, and/or the radiological data used in the analysis. Results were found to be consistent with other studies within expected uncertainties, despite the application of different source estimation methodologies and the use of significantly different radiological measurement data. A discussion of some of the operational and scientific challenges encountered during the response, along with recommendations for future work, is provided.
Charmonium spectra and dispersion relation with improved Bayesian analysis in lattice QCD
A. Ikeda; M. Asakawa; M. Kitazawa
2014-12-01T23:59:59.000Z
We study the charmonium spectral functions at finite momentum and the dispersion relation of $\\eta_c$ at finite temperature. For the analysis of the spectral function, we use an extended maximum entropy method (MEM). We perform the MEM analysis for the product space of Euclidean correlators in different channels or momenta to incorporate information encoded in correlations among the Euclidean correlators in MEM. We find that this method can improve the error of the reconstructed spectral images. To study the dispersion relation, we introduce a definition of the peak position in the spectral image in which the associated error can be estimated on the basis of MEM. We find that the dispersion relation of $\\eta_c$ at finite temperature follows the Lorentz invariant form even near the dissociation temperature $T\\simeq1.7T_c$.
Roadway pollutant dispersion: development of a data base and a model and evaluation of five models
Green, Nicholas Joseph
1980-01-01T23:59:59.000Z
Emission Factors) . . . . . . . . . . . . 92 14 Statistical Results of Comparison of Model Results to Data for Mass Balance Cases, Dallas at-Grade Site (MOBILE 1 Emission Factors) 94 15 Statistical Results of Comparison of Model Results to Data... observations. The dispersion parameters are related to the vertical and angular spreads by h = 2 15 a 2 4. 3 o' /x 8/ / / 8 C (I) 4) 46s ) 100 IO 4(D88) )08 3 SHOST lltl4188 8 4 C 0 4 F ~ mO-I 80 &8 30 30 (14) (IO) 03 04 3 3 10 30 8) IOO ~ (lm...
Broader source: Energy.gov [DOE]
DOE modeling and analysis activities focus on reducing uncertainties and improving transparency in photovoltaics (PV) and concentrating solar power (CSP) performance modeling. The overall goal of...
Dispersion modeling of ground-level area sources of particulate
Fritz, Bradley Keith
1998-01-01T23:59:59.000Z
, as shown by Equation 3. f(z) = exp ?, + exp? Y This curve represents the distribution of pollutant in the y-z plane. At any point y, a fraction of the total area of the curve [1] is determined The width of the curve depends on o?, a dispersion... the terminal settling velocity. Equation 6 and 7 are used. C p p dp g 18' where: t-o. ss, 'I C = 1+ ? 2. 514+ 0. 8e d (Eq. 6) (Eq 7) V, = Terminal Settling Velocity [m/s] C = Cunningham's Correction Factor [1/1] p, = density; 1500 [kg/m'] ) = gas...
Buckholtz, H.T.; Biermann, A.H.
1980-01-01T23:59:59.000Z
A computational model to simulate the dispersion and coagulation of aerosols emitted from coal-fired power plants was constructed. In modeling the dispersion of the aerosol, turbulent diffusion and wind-driven advection are treated by a finite-difference method. Molecular coagulation is incorporated in the model to follow shifts in the particle-size distribution. Particulate coagulation is mathematically described by Timiskii's equation. The relevent semi-empirical work of Smirnov is incorporated in the model to provide for the coagultion constant. Input for the model is a bimodal, particle-size distribution measured at an operating coal-fired power plant. Simulations indicate that dispersion competes against coagulation mechanisms to maintain the bimodal shaped distribution for 32 km. Turbulence and particle settling tend to enchance coagulation effects. The size-dependent spatial segregation of particles within the plume is predicted.
Dispersed Fluid Flow in Fractured Reservoirs- an Analysis of
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 JumpConceptual Model,DOE FacilityDimondale, Michigan: EnergyTracer-Determined Residence Time
Mitchell, J A; Molenkamp, C R; Bixler, N E; Morrow, C W; Ramsdell, Jr., J V
2004-05-10T23:59:59.000Z
The Nuclear Regulatory Commission uses MACCS2 (MELCOR Accident Consequence Code System, Version 2) for regulatory purposes such as planning for emergencies and cost-benefit analyses. MACCS2 uses a straight-line Gaussian model for atmospheric transport and dispersion. This model has been criticized as being overly simplistic, although only expected values of metrics of interest are used in the regulatory arena. To test the assumption that averaging numerous weather results adequately compensates for the loss of structure in the meteorology that occurs away from the point of release, average MACCS2 results have been compared with average results from a state-of-the-art, 3-dimensional LODI (Lagrangian Operational Dispersion Integrator)/ADAPT (Atmospheric Data Assimilation and Parameterization Technique) and a Lagrangian trajectory, Gaussian puff transport and dispersion model from RASCAL (Radiological Assessment System for consequence Analysis). The weather sample included 610 weather trials representing conditions for a hypothetical release at the Central Facility of the Department of Energy's Atmospheric Radiation Measurement site. The values compared were average ground concentrations and average surface-level air concentrations at several distances out to 100 miles (160.9 km) from the assumed release site.
Characterization of dispersion with a stochastic capillary flow model
McMahon, William Joseph
1991-01-01T23:59:59.000Z
Chair of Advisory Committee: Dr. Donald L. Beddell The two numerical models presented in this thesis simulate one dimensional ground- water Sow and solute transport through saturated porous media. The models, em- ploying the lagrangian viewpoint... model based on a soil's unsaturated hydraulic conductivity versus water content relationship, and 3) test and validate the models by comparing predicted breakthrough curves for one dimensional Sow uoth measured breahthrough curves from several...
Air dispersion modeling of particulate matter from ground-level area sources
Meister, Michael Todd
2000-01-01T23:59:59.000Z
obtained from a dispersion model. The model currently approved by EPA, the Industrial Source Complex, Version 3 - Short Term (ISC3-ST), over-predicts downwind concentrations of PM by as much two orders of magnitude. As a result, a facility may be denied a...
Development of NEXRAD Wind Retrievals as Input to Atmospheric Dispersion Models
Fast, Jerome D.; Newsom, Rob K.; Allwine, K Jerry; Xu, Qin; Zhang, Pengfei; Copeland, Jeffrey H.; Sun, Jenny
2007-03-06T23:59:59.000Z
The objective of this study is to determine the feasibility that routinely collected data from the Doppler radars can appropriately be used in Atmospheric Dispersion Models (ADMs) for emergency response. We have evaluated the computational efficiency and accuracy of two variational mathematical techniques that derive the u- and v-components of the wind from radial velocities obtained from Doppler radars. A review of the scientific literature indicated that the techniques employ significantly different approaches in applying the variational techniques: 2-D Variational (2DVar), developed by NOAA¹s (National Oceanic and Atmospheric Administration's) National Severe Storms Laboratory (NSSL) and Variational Doppler Radar Analysis System (VDRAS), developed by the National Center for Atmospheric Research (NCAR). We designed a series of numerical experiments in which both models employed the same horizontal domain and resolution encompassing Oklahoma City for a two-week period during the summer of 2003 so that the computed wind retrievals could be fairly compared. Both models ran faster than real-time on a typical single dual-processor computer, indicating that they could be used to generate wind retrievals in near real-time. 2DVar executed ~2.5 times faster than VDRAS because of its simpler approach.
DEVELOPMENT OF AN FDTD TOOL FOR MODELING OF DISPERSIVE MEDIA
Koledintseva, Marina Y.
dielectric spacer with dimensions of 60x10x0.6 mm3 . The EZ-FDTD model geometry is shown in Figure 4. Two. This is a structure with two ports on a double-sided copper clad FR-4 dielectric plate having the dimensions 200x150x1 copper plates were modeled as PEC, and the spacer was modeled as the Lorentzian dielectric
air dispersion model: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
source apportionment studies. In highly polluted cities such as Athens, Los Angeles and Mexico, regional scale air quality models are used to forecast air pollution episodes ...
Diffusion and Dispersion Characterization of a Numerical Tsunami Model
Tolkova, Elena
and numerical model. This plan is currently under devel- opment at the NCTR and a proof of concept has been-computed database of unit source solutions to determine the offshore tsunami waves. It then uses the MOST model (in nested grid mode) to propagate the offshore waves onshore for select regions. The critical factor
Guinnup, D.
1988-04-01T23:59:59.000Z
The computer program, Ooms/DEGADIS, found on these diskettes and described in the EPA report entitled, A Dispersion Model for Elevated Dense Gas Jet Chemical Releases - Volumes 1 and 2 (EPA 450/4-88-006a and b), is a VAX-operational program designed to simulate the dispersion of heavier-than-air gases which are emitted into the atmosphere with significant velocity through elevated ports. The program incorporates the sequential execution of two models. The first one (Ooms) calculates the trajectory and dispersion of the gas plume as it falls to the ground. The second (DEGADIS) calculates the downwind dispersion of the plume after it touches the ground. Users are referred to the Preface in the User's Guide for specific instructions for program implementation...Software Description: The program is written in FORTRAN with specific intent for compilation and execution on a Digital Equipment Corporation VAX computer. Implementation of the model on any other computer system may be attempted at the risk of the user. To facilitate dissemination of the model, it is being provided on two PC-compatible diskettes. The model should be uploaded via modem from a PC terminal to host VAX computer, and several files must then be renamed prior to compilation and execution.
Papin, Pallas A.
2012-06-01T23:59:59.000Z
Uranium-niobium alloys play an important role in the nation's nuclear stockpile. It is possible to chemically quantify this alloy at a micron scale by using a technique know as wavelength dispersive spectroscopy. This report documents how this technique was used and how it is possible to reproduce measurements of this type. Discussion regarding the accuracy and precision of the measurements, the development of standards, and the comparison of different ways to model the matrices are all presented.
LaCasce, Joseph H.
2006-01-01T23:59:59.000Z
Lyapunov exponents; Norwegian coast; Tidal currents 1. Introduction The coastal shelf is an important of Mathematics, University of Oslo, P.O. Box 1053, 0316 Blindern, Norway c Norwegian Meteorological Institute, P to study dispersion and mixing in a model in the Norwegian Trondheim fjord. We focus on the tidally driven
NUMERICAL MODELLING OF MICROORGANISMS DISPERSION IN URBAN AREA: APPLICATION TO LEGIONELLA.
Paris-Sud XI, UniversitÃ© de
with transmission of an infectious agent from cooling towers (CT). During the episode that occured in Pas to contaminated cooling towers system may occur over distance larger than 10km. In addition, most cooling towers dispersion from a virtual cooling tower at the same location. The biological model has been activated
Variational Water Wave Model with accurate Dispersion and Vertical Vorticity
Al Hanbali, Ahmad
in the surf zone. Photo: D.H. Peregrine. (a) x z h+b h(x,y,t) b(x,y) y g topography free surface O (b) x z y g topography O h(x,y,t) b(x,y) free surface (c) x z y g topography O h(x,y,t) b(x,y) free surface Fig. 2 free surface potential flow water wave model under gravity is widely used for marine engineering
FPGA Based Real-time Network Traffic Analysis using Traffic Dispersion Patterns
Khan, F; Gokhale, M; Chuah, C N
2010-03-26T23:59:59.000Z
The problem of Network Traffic Classification (NTC) has attracted significant amount of interest in the research community, offering a wide range of solutions at various levels. The core challenge is in addressing high amounts of traffic diversity found in today's networks. The problem becomes more challenging if a quick detection is required as in the case of identifying malicious network behavior or new applications like peer-to-peer traffic that have potential to quickly throttle the network bandwidth or cause significant damage. Recently, Traffic Dispersion Graphs (TDGs) have been introduced as a viable candidate for NTC. The TDGs work by forming a network wide communication graphs that embed characteristic patterns of underlying network applications. However, these patterns need to be quickly evaluated for mounting real-time response against them. This paper addresses these concerns and presents a novel solution for real-time analysis of Traffic Dispersion Metrics (TDMs) in the TDGs. We evaluate the dispersion metrics of interest and present a dedicated solution on an FPGA for their analysis. We also present analytical measures and empirically evaluate operating effectiveness of our design. The mapped design on Virtex-5 device can process 7.4 million packets/second for a TDG comprising of 10k flows at very high accuracies of over 96%.
FIREPLUME model for plume dispersion from fires: Application to uranium hexafluoride cylinder fires
Brown, D.F.; Dunn, W.E. [Univ. of Illinois, Champaign-Urbana, IL (United States). Dept. of Mechanical Engineering; Policastro, A.J.; Maloney, D. [Argonne National Lab., IL (United States)
1997-06-01T23:59:59.000Z
This report provides basic documentation of the FIREPLUME model and discusses its application to the prediction of health impacts resulting from releases of uranium hexafluoride (UF{sub 6}) in fires. The model application outlined in this report was conducted for the Draft Programmatic Environmental Impact Statement for Alternative Strategies for the Long-Term Management and Use of Depleted UF{sub 6}. The FIREPLUME model is an advanced stochastic model for atmospheric plume dispersion that predicts the downwind consequences of a release of toxic materials from an explosion or a fire. The model is based on the nonbuoyant atmospheric dispersion model MCLDM (Monte Carlo Lagrangian Dispersion Model), which has been shown to be consistent with available laboratory and field data. The inclusion of buoyancy and the addition of a postprocessor to evaluate time-varying concentrations lead to the current model. The FIREPLUME model, as applied to fire-related UF{sub 6} cylinder releases, accounts for three phases of release and dispersion. The first phase of release involves the hydraulic rupture of the cylinder due to heating of the UF{sub 6} in the fire. The second phase involves the emission of material into the burning fire, and the third phase involves the emission of material after the fire has died during the cool-down period. The model predicts the downwind concentration of the material as a function of time at any point downwind at or above the ground. All together, five fire-related release scenarios are examined in this report. For each scenario, downwind concentrations of the UF{sub 6} reaction products, uranyl fluoride and hydrogen fluoride, are provided for two meteorological conditions: (1) D stability with a 4-m/s wind speed, and (2) F stability with a 1-m/s wind speed.
Sandia National Laboratories: Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
On September 19, 2013, in Computational Modeling & Simulation, Distribution Grid Integration, Energy, Facilities, Grid Integration, Modeling, Modeling & Analysis, News, News &...
Chung, Y.G.; Lee, G.B.; Bang, S.Y. [Korea Electric Power Research Institute, 103-16 Munji-Dong, Yuseong-Gu, Daejeon 305-380 (Korea, Republic of); Choi, S.B.; Lee, S.U. [Korea Hydro and Nuclear Power Co., LTD, 167 Samseong-Dong, Gangnam-Gu, Seoul 135-791 (Korea, Republic of); Yoon, J.H. [Research Institute of Applied Physics, Kyushu University, 6-1 Kasuga-kouen, Kasuga, Fukuoka, 816-8580 (Japan); Nam, S.Y.; Lee, H.R. [GeoSystem Research Corporation, 306 Hanlim Human Town, 1-40 Geumjeong-Dong, Gunpo-City, Gyeonggi-Do 435-050 (Korea, Republic of)
2006-07-01T23:59:59.000Z
Recently, three-dimensional models have been used for aquatic dispersion of radioactive effluents in relation to nuclear power plant siting based on the Notice No. 2003-12 'Guideline for investigating and assessing hydrological and aquatic characteristics of nuclear facility site' of the Ministry of Science and Technology (MOST) in Korea. Several nuclear power plants have been under construction or planed, which are Shin-Kori Unit 1 and 2, Shin-Wolsong Unit 1 and 2, and Shin-Ulchin Unit 1 and 2. For assessing the aquatic dispersion of radionuclides released from the above nuclear power plants, it is necessary to know the coastal currents around sites which are affected by circulation of East Sea. In this study, a three dimensional hydrodynamic model for the circulation of the East Sea of Korea has been developed as the first phase, which is based on the RIAMOM (Research Institute of Applied Mechanics' Ocean Model, Kyushu University, Japan). The model uses the primitive equation with hydrostatic approximation, and uses Arakawa-B grid system horizontally and Z coordinate vertically. Model domain is 126.5 deg. E to 142.5 deg. E of east longitude and 33 deg. N and 52 deg. N of the north latitude. The space of the horizontal grid was 1/12 deg. to longitude and latitude direction and vertical level was divided to 20. This model uses Generalized Arakawa Scheme, Slant Advection, and Mode-Splitting Method. The input data were from JODC (Japan Oceanographic Data Center), KNFRDI (Korea National Fisheries Research and Development Institute), and ECMWF (European Center for Medium-Range Weather Forecasts). The modeling results are in fairly good agreement with schematic patterns of the surface circulation in the East Sea/Japan Sea. The local current model and aquatic dispersion model of the coastal region will be developed as the second phase. The oceanic dispersion experiments will be also carried out by using ARGO Drifter around a nuclear power plant site. (authors)
The PARSEC computer code for analysis of direct containment heating by dispersed debris
Sienicki, J.J.; Spencer, B.W.
1987-01-01T23:59:59.000Z
A multiphase flow and heat transfer, coupled Lagrangian and Eulerian computer program, PARSEC, has been developed to predict the heatup of a gas atmosphere resulting from the gas-driven dispersal of high temperature debris droplets/particles as well as the associated formation of aerosol by the oxidation enhanced vaporization of metal from the surfaces of the droplets, oxidation of reactive debris constituents, and generation of hydrogen. Predictions of the code and the fundamental modeling incorporated therein are in good agreement with available data on the essentially unimpeded dispersal of high temperature melts involving reactor materials in the Argonne CWTI-13 and CWTI-14 experiments as well as iron-alumina thermite in the Sandia DCH-1 test.
ARAC dispersion modeling of the July 26, 1993 oleum tank car spill in Richmond, California
Baskett, R.L.; Vogt, P.J.; Schalk, W.W. III; Pobanz, B.M. [EG and G Energy Measurements, Inc., Pleasanton, CA (United States)
1994-02-03T23:59:59.000Z
This report presents the results from the real-time response on the day of the spill followed by a re-assessment of the spill. Worst-case source terms and readily available meteorological data (met data) were used for the real-time response. ARAC employs a three-dimensional, diagnostic, finite-difference dispersion modeling system for estimating the consequences from accidental atmospheric releases. MATHEW (Mass-Adjusted Three- Dimensional Wind field), a Eulerian wind field code, and ADPIC (Atmospheric Diffusion by Particle-In-Cell), a hybrid Eulerian-Lagrangian dispersion model, from the core of the system. For a particular incident a model grid is selected to encompass the area of concern and is generated using underlying terrain from on-line data. Meteorological data from multiple surface and upper air stations are automatically acquired in real time primarily from local airports and formatted to initialize the wind field model. Dispersion parameters are determined from meteorological data and the source term from available information. The system is designed to simulate releases from single or multiple radioactive releases, such as ventings, spills, fires, or explosions. Solid and liquid aerosols and neutrally-buoyant gases are modeled. Particle size distributions are input for each aerosol source and modeled using gravitational settling and wet and dry deposition, if applicable. The system can be readily applied to neutrally-bouyant, nonradioactive chemical releases which do not undergo significant physical or chemical conversion processes.
Description and validation of ERAD: An atmospheric dispersion model for high explosive detonations
Boughton, B.A.; DeLaurentis, J.M.
1992-10-01T23:59:59.000Z
The Explosive Release Atmospheric Dispersion (ERAD) model is a three-dimensional numerical simulation of turbulent atmospheric transport and diffusion. An integral plume rise technique is used to provide a description of the physical and thermodynamic properties of the cloud of warm gases formed when the explosive detonates. Particle dispersion is treated as a stochastic process which is simulated using a discrete time Lagrangian Monte Carlo method. The stochastic process approach permits a more fundamental treatment of buoyancy effects, calm winds and spatial variations in meteorological conditions. Computational requirements of the three-dimensional simulation are substantially reduced by using a conceptualization in which each Monte Carlo particle represents a small puff that spreads according to a Gaussian law in the horizontal directions. ERAD was evaluated against dosage and deposition measurements obtained during Operation Roller Coaster. The predicted contour areas average within about 50% of the observations. The validation results confirm the model`s representation of the physical processes.
Sandia National Laboratories: Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Mark Boslough Featured in NOVA Special about the Chelyabinsk Meteor On April 3, 2013, in Capabilities, Computational Modeling & Simulation, Modeling, Modeling, Modeling & Analysis,...
Sandia National Laboratories: Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Sandian Mark Boslough Featured on NOVA Episode about Chelyabinsk Meteor On November 20, 2013, in Computational Modeling & Simulation, Modeling, Modeling, Modeling & Analysis,...
Sandia National Laboratories: Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Sandia Study Shows Large LNG Fires Hotter but Smaller Than Expected On December 6, 2011, in Analysis, Energy Assurance, Infrastructure Security, Modeling, Modeling & Analysis,...
A Nano-Quantum Photonic Model for Justification of Dispersion in Single Crystal Film of NPP
Hassan Kaatuzian; AliAkbar Wahedy Zarch
2006-11-28T23:59:59.000Z
In this paper, we present a nano-quantum photonic model for justification of normal dispersion in a thin crystal film of NPP. In this method, we assume a laser beam consists of a flow of energetic particles. By precise analyzing of photon interaction with pi-electron system of benzene ring in NPP crystal, we will attain refractive index (RI) in any wavelength and compare the results with experimental data.
Backstrom, Lars
2013-01-01T23:59:59.000Z
A crucial task in the analysis of on-line social-networking systems is to identify important people --- those linked by strong social ties --- within an individual's network neighborhood. Here we investigate this question for a particular category of strong ties, those involving spouses or romantic partners. We organize our analysis around a basic question: given all the connections among a person's friends, can you recognize his or her romantic partner from the network structure alone? Using data from a large sample of Facebook users, we find that this task can be accomplished with high accuracy, but doing so requires the development of a new measure of tie strength that we term `dispersion' --- the extent to which two people's mutual friends are not themselves well-connected. The results offer methods for identifying types of structurally significant people in on-line applications, and suggest a potential expansion of existing theories of tie strength.
Evaluation of Transport and Dispersion Models: A Controlled Comparison of HPAC and NARAC Predictions
Warner, S; Heagy, J F; Platt, N; Larson, D; Sugiyama, G; Nasstrom, J S; Foster, K T; Bradley, S; Bieberbach, G
2001-05-01T23:59:59.000Z
During fiscal year 2000, a series of studies in support of the Defense Threat Reduction Agency (DTRA) was begun. The goal of these studies is to improve the verification, validation, and accreditation (VV&A) of hazard prediction and assessment models and capabilities. These studies are part of a larger joint VV&A collaborative effort that DTRA and the Department of Energy (DOE), via the Lawrence Livermore National Laboratory (LLNL), are conducting. This joint effort includes comparisons of the LLNL and DTRA transport and dispersion (T&D) modeling systems, NARAC and HPAC, respectively. The purpose of this work is to compare, in a systematic way, HPAC and NARAC model predictions for a set of controlled hypothetical release scenarios. Only ''model-versus-model'' comparisons are addressed in this work. Model-to-field trial comparisons for HPAC and NARAC have been addressed in a recent companion study, in support of the same joint VV&A effort.
Nasstrom, J.S.; Ermak, D.L.
1997-04-01T23:59:59.000Z
Lagrangian stochastic modeling based on the Langevin equation has been shown to be useful for simulating vertical dispersion of trace material in the convective boundary layer or CBL. This modeling approach can account for the effects of the long velocity correlation time scales, skewed vertical velocity distributions, and vertically inhomogeneous turbulent properties found in the CBL. It has been recognized that Langevin equation models assuming skewed but homogenous velocity statistics can capture the important aspects of diffusion from sources in the CBL, especially elevated sources. We compare three reflection boundary conditions using two different Langevin-equation-based numerical models for vertical dispersion in skewed, homogeneous turbulence. One model, described by Ermak and Nasstrom (1995) is based on a Langevin equation with a skewed random force and a linear deterministic force. The second model, used by Hurley and Physick (1993) is based on a Langevin equation with a Gaussian random force and a non-linear deterministic force. The reflection boundary conditions are all based on the approach described by Thompson and Montgomery (1994).
Testing the atmospheric dispersion model of CSA N288.1 with site-specific data
Chouhan, S L
2001-01-01T23:59:59.000Z
The atmospheric dispersion component of CSA Standard N288. 1, which provides guidelines for calculating derived release limits, has been tested. Long-term average concentrations of tritium in air were predicted using site-specific release rates and meteorological data and compared with measured concentrations at 43 monitoring sites at all CANDU stations in Canada. The predictions correlate well with the observations but were found to be conservative, overestimating by about 50% on average. The model overpredicted 84% of the time, with the highest prediction lying a factor of 5.5 above the corresponding observation. The model underpredicted the remaining 16% of the time, with the lowest prediction about one-half of the corresponding measurement. Possible explanations for this bias are discussed but no single reason appears capable of accounting for the discrepancy. Rather, the tendency to overprediction seems to result from the cumulative effects of a number of small conservatisms in the model. The model predi...
Disordered locality and Lorentz dispersion relations: an explicit model of quantum foam
Francesco Caravelli; Fotini Markopoulou
2012-07-04T23:59:59.000Z
Using the framework of Quantum Graphity, we construct an explicit model of a quantum foam, a quantum spacetime with spatial non-local links. The states depend on two parameters: the minimal size of the link and their density with respect to this length. Macroscopic Lorentz invariance requires that the quantum superposition of spacetimes is suppressed by the length of these non-local links. We parametrize this suppression by the distribution of non-local links lengths in the quantum foam. We discuss the general case and then analyze two specific natural distributions. Corrections to the Lorentz dispersion relations are calculated using techniques developed in previous work.
Modified sedimentation-dispersion model for solids in a three-phase slurry column
Smith, D.N.; Ruether, J.A.; Shah, Y.T.; Badgujar, M.N.
1986-03-01T23:59:59.000Z
Solids distribution data for a three-phase, batch-fluidized slurry bubble column (SBC) are presented, using air as the gas phase, pure liquids and solutions as the liquid phase, and glass beads and carborundum catalyst powder as the solid phase. Solids distribution data for the three-phase SBC operated in a continuous mode of operation are also presented, using nitrogen as the gas phase, water as the liquid phase, and glass beads as the solid phase. A new model to provide a reasonable approach to predict solids concentration distributions for systems containing polydispersed solids is presented. The model is a modification of standard sedimentation-dispersion model published earlier. Empirical correlations for prediction of hindered settling velocity and solids dispersion coefficient for systems containing polydispersed solids are presented. A new method of evaluating critical gas velocity (CGV) from concentrations of the sample withdrawn at the same port of the SBC is presented. Also presented is a new mapping for CGV which separates the two regimes in the SBC, namely, incomplete fluidization and complete fluidization.
Nielson,, K. K.; Sanders,, R. W.
1982-04-01T23:59:59.000Z
SAP3 is a dual-function FORTRAN computer program which performs peak analysis of energy-dispersive x-ray fluorescence spectra and then quantitatively interprets the results of the multielement analysis. It was written for mono- or bi-chromatic excitation as from an isotopic or secondary excitation source, and uses the separate incoherent and coherent backscatter intensities to define the bulk sample matrix composition. This composition is used in performing fundamental-parameter matrix corrections for self-absorption, enhancement, and particle-size effects, obviating the need for specific calibrations for a given sample matrix. The generalized calibration is based on a set of thin-film sensitivities, which are stored in a library disk file and used for all sample matrices and thicknesses. Peak overlap factors are also determined from the thin-film standards, and are stored in the library for calculating peak overlap corrections. A detailed description is given of the algorithms and program logic, and the program listing and flow charts are also provided. An auxiliary program, SPCAL, is also given for use in calibrating the backscatter intensities. SAP3 provides numerous analysis options via seventeen control switches which give flexibility in performing the calculations best suited to the sample and the user needs. User input may be limited to the name of the library, the analysis livetime, and the spectrum filename and location. Output includes all peak analysis information, matrix correction factors, and element concentrations, uncertainties and detection limits. Twenty-four elements are typically determined from a 1024-channel spectrum in one-to-two minutes using a PDP-11/34 computer operating under RSX-11M.
Harper, F.T.; Young, M.L.; Miller, L.A. [Sandia National Labs., Albuquerque, NM (United States)] [and others
1995-01-01T23:59:59.000Z
The development of two new probabilistic accident consequence codes, MACCS and COSYMA, completed in 1990, estimate the risks presented by nuclear installations based on postulated frequencies and magnitudes of potential accidents. In 1991, the US Nuclear Regulatory Commission (NRC) and the Commission of the European Communities (CEC) began a joint uncertainty analysis of the two codes. The objective was to develop credible and traceable uncertainty distributions for the input variables of the codes. Expert elicitation, developed independently, was identified as the best technology available for developing a library of uncertainty distributions for the selected consequence parameters. The study was formulated jointly and was limited to the current code models and to physical quantities that could be measured in experiments. To validate the distributions generated for the wet deposition input variables, samples were taken from these distributions and propagated through the wet deposition code model along with the Gaussian plume model (GPM) implemented in the MACCS and COSYMA codes. Resulting distributions closely replicated the aggregated elicited wet deposition distributions. Project teams from the NRC and CEC cooperated successfully to develop and implement a unified process for the elaboration of uncertainty distributions on consequence code input parameters. Formal expert judgment elicitation proved valuable for synthesizing the best available information. Distributions on measurable atmospheric dispersion and deposition parameters were successfully elicited from experts involved in the many phenomenological areas of consequence analysis. This volume is the third of a three-volume document describing the project and contains descriptions of the probability assessment principles; the expert identification and selection process; the weighting methods used; the inverse modeling methods; case structures; and summaries of the consequence codes.
Ramsdell, J.V.
1991-07-01T23:59:59.000Z
Radiation doses that may have resulted from operations at the Hanford Site are being estimated in the Hanford Environmental Dose Reconstruction (HEDR) Project. One of the project subtasks, atmospheric transport, is responsible for estimating the transport, diffusion and deposition of radionuclides released to the atmosphere. This report discusses modeling transport and diffusion in the atmospheric pathway. It is divided into three major sections. The first section of the report presents the atmospheric modeling approach selected following discussion with the Technical Steering Panel that directs the HEDR Project. In addition, the section discusses the selection of the MESOI/MESORAD suite of atmospheric dispersion models that form the basis for initial calculations and future model development. The second section of the report describes alternative modeling approaches that were considered. Emphasis is placed on the family of plume and puff models that are based on Gaussian solution to the diffusion equations. The final portion of the section describes the performance of various models. The third section of the report discusses factors that bear on the selection of an atmospheric transport modeling approach for HEDR. These factors, which include the physical setting of the Hanford Site and the available meteorological data, serve as constraints on model selection. Five appendices are included in the report. 39 refs., 4 figs., 2 tabs.
Near-field dispersal modeling for liquid fuel-air explosives
Gardner, D.R.
1990-07-01T23:59:59.000Z
The near-field, explosive dispersal of a liquid into air has been explored using a combination of analytical and numerical models. The near-field flow regime is transient, existing only as long as the explosive forces produced by the detonation of the burster charge dominate or are approximately equal in magnitude to the aerodynamic drag forces on the liquid. The near-field model provides reasonable initial conditions for the far-field model, which is described in a separate report. The near-field model consists of the CTH hydrodynamics code and a film instability model. In particular, the CTH hydrodynamics code is used to provide initial temperature, pressure, and velocity fields, and bulk material distribution for the far-field model. The film instability model is a linear stability model for a radially expanding fluid film, and is used to provide a lower bound on the breakup time and an upper and lower bound on the initial average drop diameter for the liquid following breakup. Predictions of the liquid breakup time and the initial arithmetic average drop diameter from the model compare favorably with the sparse experimental data. 26 refs., 20 figs., 8 tabs.
Dispersant solutions for dispersing hydrocarbons
Tyndall, Richard L. (Clinton, TN)
1997-01-01T23:59:59.000Z
A dispersant solution includes a hydrocarbon dispersing solution derived from a bacterium from ATCC 75527, ATCC 75529, or ATCC 55638.
Dispersant solutions for dispersing hydrocarbons
Tyndall, R.L.
1997-03-11T23:59:59.000Z
A dispersant solution includes a hydrocarbon dispersing solution derived from a bacterium from ATCC 75527, ATCC 75529, or ATCC 55638.
Transport and dispersion of pollutants in surface impoundments: a finite element model
Yeh, G.T.
1980-07-01T23:59:59.000Z
A surface impoundment model in finite element (SIMFE) is presented to enable the simulation of flow circulations and pollutant transport and dispersion in natural or artificial lakes, reservoirs or ponds with any number of islands. This surface impoundment model consists of two sub-models: hydrodynamic and pollutant transport models. Both submodels are simulated by the finite element method. While the hydrodynamic model is solved by the standard Galerkin finite element scheme, the pollutant transport model can be solved by any of the twelve optional finite element schemes built in the program. Theoretical approximations and the numerical algorithm of SIMFE are described. Detail instruction of the application are given and listing of FORTRAN IV source program are provided. Two sample problems are given. One is for an idealized system with a known solution to show the accuracy and partial validation of the models. The other is applied to Prairie Island for a set of hypothetical input data, typifying a class of problems to which SIMFE may be applied.
Benoit, M H; Nyblade, A A; Pasyanos, M E
2006-01-17T23:59:59.000Z
The East African and Ethiopian Plateaus have long been recognized to be part of a much larger topographic anomaly on the African Plate called the African Superswell. One of the few places within the African Superswell that exhibit elevations of less than 1 km is southeastern Sudan and northern Kenya, an area containing both Mesozoic and Cenozoic rift basins. Crustal structure and uppermost mantle velocities are investigated in this area by modeling Rayleigh wave dispersion. Modeling results indicate an average crustal thickness of 25 {+-} 5 km, some 10-15 km thinner than the crust beneath the adjacent East African and Ethiopian Plateaus. The low elevations can therefore be readily attributed to an isostatic response from crustal thinning. Low Sn velocities of 4.1-4.3 km/s also characterize this region.
Translating Model Simulators to Analysis Models
de Lara, Juan
Translating Model Simulators to Analysis Models Juan de Lara1 and Hans Vangheluwe2 1 Polytechnic generation of model-to-model transformations given a description of the operational semantics of the source of operational triple graph grammar rules that transform the static information (initial model) and the dynamics
Air Dispersion Modeling of Mine Waste in the Southeast Missouri Old Lead Belt
Abbott, Michael Lehman
1999-10-01T23:59:59.000Z
Past lead ore processing conducted in the Southeast Missouri Old Lead Belt since the 1700s has left numerous large areas of lead contamination in elevated piles of fine gravel waste called “chat” and dried-out tailings ponds. Wind suspension and atmospheric dispersion are known to transport these materials to the surrounding communities where the lead could pose a human health threat through inhalation or ingestion of the deposited contamination. The purpose of this study was to estimate potential wind suspension rates, perform dispersion modeling of the tailings and chat sources, and determine ground surface deposition rates and potential soil concentrations of lead in the surrounding areas. The results can be used to prioritize soil sampling locations, site air monitors, help identify the source of soil lead contamination, and to help develop remediation plans. Numerous, large complex sources in the region were parameterized into 33 area sources with the aid of digital aerial photos, digitized typographic maps, Geographic Information Systems (GIS) software, and site inspections. An AP-42 particulate emission model was used to estimate lower- and upper-bound hourly emission rates using six years of hourly wind speed data obtained from the St. Louis Airport. The emissions model accounted for wind speed, precipitation, source-specific aggregate size, fraction of vegetation cover, and site-specific lead concentrations. An alternative simplified method to calculate emissions from elevated chat piles was developed. The Fugitive Dust Model (FDM) was then used to calculate long-term average and maximum 24-hour deposition rates of lead over a 200 km2 region. Soil concentrations were estimated from modeled deposition rates, time of deposition (80 y) and an assumed surface (0-5.08 cm) mixing depth. Model performance was evaluated by comparing lower- and upper- bound modeled predictions to both air and soil sampling data obtained at two sites. The predicted-to-observed (P/O) ratios calculated using the geometric mean of the lower- and upper-bound modeled concentrations ranged from a low of 0.84 at 300 m to a high of 1.4 at 1800 m, with an average of 1.1. The P/O ratios tended to increase slightly at distances beyond about 1 km. These P/O ratios demonstrate exceptional model performance for the particular sampling transect (location and direction) investigated.
On linear stability and dispersion for crystals in the Schroedinger-Poisson model
Alexander Komech; Elena Kopylova
2015-06-03T23:59:59.000Z
We consider the Schr\\"odinger-Poisson-Newton equations as a model of crystals. Our main results are the well posedness and dispersion decay for the linearized dynamics at the ground state. This linearization is a Hamilton system with nonselfadjoint (and even nonsymmetric) generator. We diagonalize this Hamilton generator using our theory of spectral resolution of the Hamilton operators with positive definite energy which is a special version of the M. Krein - H. Langer theory of selfadjoint operators in the Hilbert spaces with indefinite metric. Using this spectral resolution, we establish the well posedness and the dispersion decay of the linearized dynamics with positive energy. The key result of present paper is the energy positivity for the linearized dynamics with small elementary charge $e>0$ under a novel Wiener-type condition on the ions positions and their charge densitities. We give examples of the crystals satisfying this condition. The main difficulty in the proof ofr the positivity is due to the fact that for $e=0$ the minimal spectral point $E_0=0$ is an eigenvalue of infinite multiplicity for the energy operator. To prove the positivity we study the asymptotics of the ground state as $e\\to 0$ and show that the zero eigenvalue $E_0=0$ bifurcates into $E_e\\sim e^2$.
Gowardhan, A A; Brown, M J
2012-02-21T23:59:59.000Z
The Quick Urban & Industrial Complex (QUIC) Dispersion Modeling System has been developed to rapidly compute the transport and dispersion of toxic agent releases in the vicinity of buildings. It is composed of a wind solver, an 'urbanized' Lagrangian random-walk model, and a graphical user interface. QUIC has two different wind models: (a) The QUIC-URB wind solver, an empirically-based diagnostic wind model and (b) The QUIC-CFD (RANS) solver, based on the 3D Reynolds-Averaged Navier-Stokes (RANS) equations. In this paper, we discuss the effect of different wind models on dispersion patterns in dense built-up areas. The model-computed wind from the two urban wind models- QUIC-URB and QUIC-CFD are used to drive the dispersion model. The concentration fields are then compared to measurements from the Oklahoma City Joint Urban 2003 field experiment. QUIC produces high-resolution 3-D mean wind and concentration fields around buildings, in addition to deposition on the ground and building surfaces. It has options for different release types, including point, moving point, line, area, and volumetric sources, as well as dense gas, explosive buoyant rise, multi-particle size, bioslurry, and two-phase releases. Other features include indoor infiltration, a pressure solver, outer grid simulations, vegetative canopies, and population exposure calculations. It has been used for biological agent sensor siting in cities, vulnerability assessments for heavier-than-air chemical releases at industrial facilities, and clean-up assessments for radiological dispersal device (RDD) releases in cities (e.g., see Linger et al., 2005; Brown, 2006a, b). QUIC has also been used for dust transport studies (Bowker et al., 2007a) and for the impact of highway sound barriers on the transport and dispersion of vehicle emissions (Bowker et al., 2007b).
HGSYSTEMUF6. Model for Simulating Dispersion due to Atmospheric Release of UF6
Hanna, G [George Mason University, (United States); Chang, J.C. [Earthtech, Inc., (United States); Zhang, J.X. [BlazeTech Corporation, (United States); Bloom, S.G. [Lockheed Martin Energy Systems, Oak Ridge, TN (United States); Goode, W.D. Jr [Bechtel Jacobs Company, Oak Ridge, TN (United States); Lombardi, D.A. [JBF Associates, (United States); Yambert, M.W. [LMERC, Oak Ridge, TN (United States)
1998-08-01T23:59:59.000Z
HGSYSTEMUF6 is a suite of models designed for use in estimating consequences associated with accidental, atmospheric release of Uranium Hexafluoride (UF6) and its reaction products, namely Hydrogen Fluoride (HF), and other non-reactive contaminants which are either negatively, neutrally, or positively buoyant. It is based on HGSYSTEM Version 3.0 of Shell Research LTD., and contains specific algorithms for the treatment of UF6 chemistry and thermodynamics. HGSYSTEMUF6 contains algorithms for the treatment of dense gases, dry and wet deposition, effects due to the presence of buildings (canyon and wake), plume lift-off, and the effects of complex terrain. The models components of the suite include (1) AEROPLUME/RK, used to model near-field dispersion from pressurized two-phase jet releases of UF6 and its reaction products, (2) HEGADAS/UF6 for simulating dense, ground based release of UF6, (3) PGPLUME for simulation of passive, neutrally buoyant plumes (4) UF6Mixer for modeling warm, potentially reactive, ground-level releases of UF6 from buildings, and (5) WAKE, used to model elevated and ground-level releases into building wake cavities of non-reactive plumes that are either neutrally or positively buoyant.
Polasek, J. C
1981-01-01T23:59:59.000Z
COLLECTION OF A DATA BASE FOR THE CONSTRUCTION AND VALIDATION OF ROADWAY AIR POLLUTION DISPERSION MODELS A Thesis by JOHN C. POLASEK Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirements... I. H. 610 0 ~o ~ ~o FIGURE 1 OVERHEAD VIEW ? Houston, Loop 610 Ij2 =VAI 5M, HA I 5M TMI 5M, WVI 5M, RH I 5M 12f c VA I OM, HA IOM, TMP IOM, WV 1 0 M 8O VA 2OM, HA 20M, TMP 2OM, WV 20 M 4D= TMP 30 M, RH 3OM OT = VA 4 0 M, HA 40 M, W V 40 M...
12.141 Electron Microprobe Analysis by Wavelength Dispersive X-ray Spectrometry, January (IAP) 2006
Chatterjee, Nilanjan
Introduction to the theory of x-ray microanalysis through the electron microprobe including ZAF matrix corrections. Techniques to be discussed are wavelength and energy dispersive spectrometry, scanning backscattered ...
Bürger, Raimund
-dimensional model of sedimentation of suspensions of small solid particles dispersed in a viscous fluid. This model accepted spatially one-dimensional sedimentation model [35] gives rise to one scalar, nonlinear hyperbolicINTERNATIONAL JOURNAL OF c 2011 Institute for Scientific NUMERICAL ANALYSIS AND MODELING Computing
Bürger, Raimund
-dimensional model of sedimentation of suspensions of small solid particles dispersed in a viscous fluid. This model accepted spatially one-dimensional sedimentation model [35] gives rise to one scalar, nonlinear hyperbolicINTERNATIONAL JOURNAL OF c 2012 Institute for Scientific NUMERICAL ANALYSIS AND MODELING Computing
Williams, W.R.
1985-03-01T23:59:59.000Z
Calculational methods and computer programs for the analysis of source terms for postulated releases of UF{sub 6} are presented. Required thermophysical properties of UF{sub 6}, HF, and H{sub 2}O are described in detail. UF{sub 6} reacts with moisture in the ambient environment to form HF and H{sub 2}O. The coexistence of HF and H{sub 2}O significantly alters their pure component properties, and HF vapor polymerizes. Transient compartment models for simulating UF{sub 6} releases inside gaseous diffusion plant feed and withdrawl buildings and cascade buildings are also described. The basic compartment model mass and energy balances are supported by simple heat transfer, ventilation system, and deposition models. A model that can simulate either a closed compartment or a steady-state ventilation system is also discussed. The transient compartment models provide input to an atmospheric dispersion model as output.
Stability and Asymptotic Analysis of a Fluid-Particle Interaction Model
Goudon, Thierry
-particle interaction is of primarily importance in sedimentation analysis of disperse suspen- sions of particlesStability and Asymptotic Analysis of a Fluid-Particle Interaction Model Jos´e A. Carrillo1-mail: Thierry.Goudon@math.univ-lille1.fr Abstract We are interested in coupled microscopic/macroscopic models
A CFD-based wind solver for a fast response transport and dispersion model
Gowardhan, Akshay A [Los Alamos National Laboratory; Brown, Michael J [Los Alamos National Laboratory; Pardyjak, Eric R [UNIV OF UTAH; Senocak, Inanc [BOISE STATE UNIV
2010-01-01T23:59:59.000Z
In many cities, ambient air quality is deteriorating leading to concerns about the health of city inhabitants. In urban areas with narrow streets surrounded by clusters of tall buildings, called street canyons, air pollution from traffic emissions and other sources is difficult to disperse and may accumulate resulting in high pollutant concentrations. For various situations, including the evacuation of populated areas in the event of an accidental or deliberate release of chemical, biological and radiological agents, it is important that models should be developed that produce urban flow fields quickly. For these reasons it has become important to predict the flow field in urban street canyons. Various computational techniques have been used to calculate these flow fields, but these techniques are often computationally intensive. Most fast response models currently in use are at a disadvantage in these cases as they are unable to correlate highly heterogeneous urban structures with the diagnostic parameterizations on which they are based. In this paper, a fast and reasonably accurate computational fluid dynamics (CFD) technique that solves the Navier-Stokes equations for complex urban areas has been developed called QUIC-CFD (Q-CFD). This technique represents an intermediate balance between fast (on the order of minutes for a several block problem) and reasonably accurate solutions. The paper details the solution procedure and validates this model for various simple and complex urban geometries.
Lattice vibrations in the Frenkel-Kontorova model. I. phonon dispersion, number density, and energy
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Meng, Qingping; Wu, Lijun; Welch, David O.; Zhu, Yimei
2015-06-01T23:59:59.000Z
We studied the lattice vibrations of two inter-penetrating atomic sublattices via the Frenkel-Kontorova (FK) model of a linear chain of harmonically interacting atoms subjected to an on-site potential, using the technique of thermodynamic Green's functions based on quantum field-theoretical methods. General expressions were deduced for the phonon frequency-wave-vector dispersion relations, number density, and energy of the FK model system. As the application of the theory, we investigated in detail cases of linear chains with various periods of the on-site potential of the FK model. Some unusual but interesting features for different amplitudes of the on-site potential of the FK modelmore »are discussed. In the commensurate structure, the phonon spectrum always starts at a finite frequency, and the gaps of the spectrum are true ones with a zero density of modes. In the incommensurate structure, the phonon spectrum starts from zero frequency, but at a non-zero wave vector; there are some modes inside these gap regions, but their density is very low. In our approximation, the energy of a higher-order commensurate state of the one-dimensional system at a finite temperature may become indefinitely close to the energy of an incommensurate state. This finding implies that the higher-order incommensurate-commensurate transitions are continuous ones and that the phase transition may exhibit a “devil's staircase” behavior at a finite temperature.« less
Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel...
Office of Environmental Management (EM)
and Fuel Cells Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel Cells The Fuel Cell Technologies Office's systems analysis program uses a consistent set of models...
Hanna, Steven
Surface energy fluxes, at averaging times from 10 min to 1 h, are needed as inputs to most state-of-the-art dispersion models. The sensible heat flux is a major priority, because it is combined with the momentum flux to ...
Paris-Sud XI, Université de
Uniqueness for an ill-posed reaction-dispersion model. Application to organic pollution in stream-waters waters. The sources we consider are point-wise and simulate stationary or moving pollution sources to measure the pollution extent due to organic agents and then to evaluate the water characteristics. Another
Strategic Analysis and Modeling
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
analysis, NREL-Market and Policy Impact Analysis, NREL-SI, NREL-VT, ORNL, PNNL * Industry: Celanese, ExxonMobil, Linde, Proterro, SABIC, U.S. DRIVE * Government Agencies:...
Krueger, Brenda J.; Grassian, Vicki H.; Iedema, Martin J.; Cowin, James P.; Laskin, Alexander
2003-10-01T23:59:59.000Z
In this paper, we demonstrate the utility of single-particle analysis to investigate the chemistry of isolated, individual particles of atmospheric relevance such as NaCl, sea salt, CaCO3, and SiO2. A variety of state-of-th-art scanning electron microscopy techniques, including environmental scanning electon microscopy and computer-controlled scanning electron microscopy/energy-dispersive X-ray analysis, were utilized for monitoring and quantifying phase transitions of individual particles, morphology, and compositional changes of individual particles as they react with nitric acid.
Innovative Corridors Initiative: Business Model Analysis
Shaheen, Susan; Lingham, Viginia; Finson, Rachel S.
2007-01-01T23:59:59.000Z
Wenger, Joyce. Business Models for Vehicle InfrastructureCorridors Initiative: Business Model Analysis Rachel S.Corridors Initiative: Business Model Analysis Task Order
An analysis of uranium dispersal and health effects using a Gulf War case study.
Marshall, Albert Christian
2005-07-01T23:59:59.000Z
The study described in this report used mathematical modeling to estimate health risks from exposure to depleted uranium (DU) during the 1991 Gulf War for both U.S. troops and nearby Iraqi civilians. The analysis found that the risks of DU-induced leukemia or birth defects are far too small to result in an observable increase in these health effects among exposed veterans or Iraqi civilians. Only a few veterans in vehicles accidentally struck by U.S. DU munitions are predicted to have inhaled sufficient quantities of DU particulate to incur any significant health risk (i.e., the possibility of temporary kidney damage from the chemical toxicity of uranium and about a 1% chance of fatal lung cancer). The health risk to all downwind civilians is predicted to be extremely small. Recommendations for monitoring are made for certain exposed groups. Although the study found fairly large calculational uncertainties, the models developed and used are generally valid. The analysis was also used to assess potential uranium health hazards for workers in the weapons complex. No illnesses are projected for uranium workers following standard guidelines; nonetheless, some research suggests that more conservative guidelines should be considered.
Application of Computational Fluid Dynamics in the Forced Dispersion Modeling of LNG Vapor Clouds
Kim, Byung-Kyu
2013-05-31T23:59:59.000Z
The safety and security of liquefied natural gas (LNG) facilities has prompted the need for continued study of LNG mitigation systems. Water spray systems are widely recognized as an effective measure for dispersing LNG vapor clouds. Currently...
Study of the Effects of Obstacles in Liquefied Natural Gas (LNG) Vapor Dispersion using CFD Modeling
Ruiz Vasquez, Roberto
2012-10-19T23:59:59.000Z
The evaluation of the potential hazards related with the operation of an LNG terminal includes possible release scenarios with the consequent flammable vapor dispersion within the facility; therefore, it is important to know the behavior...
Study of the Effects of Obstacles in Liquefied Natural Gas (LNG) Vapor Dispersion using CFD Modeling
Ruiz Vasquez, Roberto
2012-10-19T23:59:59.000Z
The evaluation of the potential hazards related with the operation of an LNG terminal includes possible release scenarios with the consequent flammable vapor dispersion within the facility; therefore, it is important to ...
SPRAYTRAN 1.0 User’s Guide: A GIS-Based Atmospheric Spray Droplet Dispersion Modeling System
Allwine, K Jerry; Rutz, Frederick C.; Droppo, James G.; Rishel, Jeremy P.; Chapman, Elaine G.; Bird, S. L.; Thistle, Harold W.
2006-09-20T23:59:59.000Z
SPRAY TRANsport (SPRAYTRAN) is a comprehensive dispersion modeling system that is used to simulate the offsite drift of pesticides from spray applications. SPRAYTRAN functions as a console application within Environmental System Research Institute’s ArcMap Geographic Information System (Version 9.x) and integrates the widely-used, U.S. Environmental Protection Agency (EPA)-approved CALifornia PUFF (CALPUFF) dispersion model and model components to simulate longer-range transport and diffusion in variable terrain and spatially/temporally varying meteorological (e.g., wind) fields. Area sources, which are used to define spray blocks in SPRAYTRAN, are initialized using output files generated from a separate aerial-spray-application model called AGDISP (AGricultural DISPersal). The AGDISP model is used for estimating the amount of pesticide deposited to the spray block based on spraying characteristics (e.g., pesticide type, spray nozzles, and aircraft type) and then simulating the near-field (less than 300-m) drift from a single pesticide application. The fraction of pesticide remaining airborne from the AGDISP near-field simulation is then used by SPRAYTRAN for simulating longer-range (greater than 300 m) drift and deposition of the pesticide.
Ng, Chung-Sang
Four-Field Model for Dispersive Field-Line Resonances in Collision... http://www.agu.org/cgi-bin/SFgate/SFgate?language" ------------------------------ HR: 1330h AN: SM22A-13 TI: Four-Field Model for Dispersive Field-Line Resonances in Collisionless theoretical model is proposed for dispersive field-line resonances in magnetospheric plasmas. The model
Structural Analysis of Combustion Models
Tóth, J; Zsély, I
2013-01-01T23:59:59.000Z
Using ReactionKinetics, a Mathematica based package a few dozen detailed models for combustion of hydrogen, carbon monoxide and methanol are investigated. Essential structural characteristics are pulled out, and similarities and differences of the mechanisms are highlighted. These investigations can be used before or parallel with usual numerical investigations, such as pathway analysis, sensitivity analysis, parameter estimation, or simulation.
Sandia National Laboratories: Modeling and Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Modeling and Analysis Sandian Mark Boslough Featured on NOVA Episode about Chelyabinsk Meteor On November 20, 2013, in Computational Modeling & Simulation, Modeling, Modeling,...
Dispersive Analysis of $omega/phi\\rightarrow 3pi,\\,pi gamma^*$
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Danilkin, Igor V. [JLAB; Fernandez Ramirez, Cesar [JLAB; Guo, Peng [Indiana University; Mathieu, Vincent [Indiana University; Schott, Diane M. [George Washington University; Shi, Meng [Peking University; Szczepaniak, Adam P. [Indiana University
2015-05-01T23:59:59.000Z
The decays $\\omega/\\phi \\rightarrow 3\\pi$ are considered in the dispersive framework that is based on the isobar decomposition and sub-energy unitarity. The inelastic contributions are parametrized by the power series in a suitably chosen conformal variable that properly accounts for the analytic properties of the amplitude. The Dalitz plot distributions and integrated decay widths are presented. Our results indicate that the final state interactions may be sizable. As a further application of the formalism we also compute the electromagnetic transition form factors of $\\omega/\\phi \\rightarrow \\pi^0\\gamma^*$.
Droppo, James G.; Napier, Bruce A.; Rishel, Jeremy P.; Bloom, Richard W.
2011-06-22T23:59:59.000Z
The current cleanup of structures related to cold-war production of nuclear materials includes the need to demolish a number of highly alpha-contaminated structures. The process of planning for the demolition of such structures includes unique challenges related to ensuring the protection of both workers and the public. Pre-demolition modeling analyses were conducted to evaluate potential exposures resulting from the proposed demolition of a number of these structures. Estimated emission rates of transuranic materials during demolition are used as input to an air-dispersion model. The climatological frequencies of occurrence of peak air and surface exposures at locations of interest are estimated based on years of hourly meteorological records. The modeling results indicate that downwind deposition is the main operational limitation for demolition of a highly alpha-contaminated building. The pre-demolition modeling directed the need for better contamination characterization and/or different demolition methods—and in the end, provided a basis for proceeding with the planned demolition activities. Post-demolition modeling was also conducted for several contaminated structures, based on the actual demolition schedule and conditions. Comparisons of modeled and monitoring results are shown. Recent monitoring data from the demolition of a UO3 plant shows increments in concentrations that were previously identified in the pre-demolition modeling predictions; these comparisons confirm the validity and value of the pre-demolition source-term and air dispersion computations for planning demolition activities for other buildings with high levels of radioactive contamination.
Model building techniques for analysis.
Walther, Howard P.; McDaniel, Karen Lynn; Keener, Donald; Cordova, Theresa Elena; Henry, Ronald C.; Brooks, Sean; Martin, Wilbur D.
2009-09-01T23:59:59.000Z
The practice of mechanical engineering for product development has evolved into a complex activity that requires a team of specialists for success. Sandia National Laboratories (SNL) has product engineers, mechanical designers, design engineers, manufacturing engineers, mechanical analysts and experimentalists, qualification engineers, and others that contribute through product realization teams to develop new mechanical hardware. The goal of SNL's Design Group is to change product development by enabling design teams to collaborate within a virtual model-based environment whereby analysis is used to guide design decisions. Computer-aided design (CAD) models using PTC's Pro/ENGINEER software tools are heavily relied upon in the product definition stage of parts and assemblies at SNL. The three-dimensional CAD solid model acts as the design solid model that is filled with all of the detailed design definition needed to manufacture the parts. Analysis is an important part of the product development process. The CAD design solid model (DSM) is the foundation for the creation of the analysis solid model (ASM). Creating an ASM from the DSM currently is a time-consuming effort; the turnaround time for results of a design needs to be decreased to have an impact on the overall product development. This effort can be decreased immensely through simple Pro/ENGINEER modeling techniques that summarize to the method features are created in a part model. This document contains recommended modeling techniques that increase the efficiency of the creation of the ASM from the DSM.
Sermeus, J.; Glorieux, C., E-mail: christ.glorieux@fys.kuleuven.be [Laboratory for Acoustics and Thermal Physics, KU Leuven, University of Leuven, Celestijnenlaan 200D, B-3001 Heverlee (Belgium); Sinha, R.; Vereecken, P. M. [IMEC, Kapeldreef 75, B-3001 Leuven (Belgium); Center for Surface Chemistry and Catalysis, KU Leuven, University of Leuven, Kasteelpark Arenberg 23, B-3001 Leuven (Belgium); Vanstreels, K. [IMEC, Kapeldreef 75, B-3001 Leuven (Belgium)
2014-07-14T23:59:59.000Z
MnO{sub 2} is a material of interest in the development of high energy-density batteries, specifically as a coating material for internal 3D structures, thus ensuring rapid energy deployment. Its electrochemical properties have been mapped extensively, but there are, to the best of the authors' knowledge, no records of the elastic properties of thin film MnO{sub 2}. Impulsive stimulated thermal scattering (ISTS), also known as the heterodyne diffraction or transient grating technique, was used to determine the Young's modulus (E) and porosity (?) of a 500?nm thick MnO{sub 2} coating on a Si(001) substrate. ISTS is an all optical method that is able to excite and detect surface acoustic waves (SAWs) on opaque samples. From the measured SAW velocity dispersion, the Young's modulus and porosity were determined to be E?=?25?±?1?GPa and ?=42±1%, respectively. These values were confirmed by independent techniques and determined by a most-squares analysis of the carefully fitted SAW velocity dispersion. This study demonstrates the ability of the presented technique to determine the elastic parameters of a thin, porous film on an anisotropic substrate.
DENSE MULTIPHASE FLOW SIMULATION: CONTINUUM MODEL FOR POLY-DISPERSED SYSTEMS USING KINETIC THEORY
Moses Bogere
2011-08-31T23:59:59.000Z
The overall objective of the project was to verify the applicability of the FCMOM approach to the kinetic equations describing the particle flow dynamics. For monodispersed systems the fundamental equation governing the particle flow dynamics is the Boltzmann equation. During the project, the FCMOM was successfully applied to several homogeneous and in-homogeneous problems in different flow regimes, demonstrating that the FCMOM has the potential to be used to solve efficiently the Boltzmann equation. However, some relevant issues still need to be resolved, i.e. the homogeneous cooling problem (inelastic particles cases) and the transition between different regimes. In this report, the results obtained in homogeneous conditions are discussed first. Then a discussion of the validation results for in-homogeneous conditions is provided. And finally, a discussion will be provided about the transition between different regimes. Alongside the work on development of FCMOM approach studies were undertaken in order to provide insights into anisotropy or particles kinetics in riser hydrodynamics. This report includes results of studies of multiphase flow with unequal granular temperatures and analysis of momentum re-distribution in risers due to particle-particle and fluid-particle interactions. The study of multiphase flow with unequal granular temperatures entailed both simulation and experimental studies of two particles sizes in a riser and, a brief discussion of what was accomplished will be provided. And finally, a discussion of the analysis done on momentum re-distribution of gas-particles flow in risers will be provided. In particular a discussion of the remaining work needed in order to improve accuracy and predictability of riser hydrodynamics based on two-fluid models and how they can be used to model segregation in risers.
12.141 Electron Microprobe Analysis by Wavelength Dispersive X-ray Spectrometry, January IAP 2010
Chatterjee, Nilanjan
2010-01-01T23:59:59.000Z
This lab-oriented course introduces the student to the subject of X-ray spectrometry and micro-scale chemical quantitative analysis of solid samples through an intensive series of hands-on laboratory exercises that use the ...
Long-range dispersion and spatial diffusion of fault waves in the Burridge-Knopoff earthquake model
Alain M. Dikandé
2004-02-13T23:59:59.000Z
The Burridge-Knopoff model of earthquakes has recently gained increased interest for the consistency of the predicted energy released by sismic faults, with the Gutenberg-Richter scaling law. The present work suggests an improvement of this model to account for long-range dispersions and large spatial diffusion of sismic faults. An enhancement of the threshold speed of shock waves driven by translated fault fronts is pointed out and shown to result from the interactions between components of the system situated far aways them and others. Due to the enhanced threshold speed, size of the sismic fault gets increased but a control effect can still be gained from tunable dispersion extent irrespective of the total length of the system. To the viewpoint of the Burridge-Knopoff block-lattice model, this last consideration introduces the possibility of sizable but finite interactions among infinitely aligned massive blocks. Implications on the fault wave propagation are examined by numerical simulations of the improved nonlinear partial differential equation.
Determining and modeling near site dispersion of gaseous releases to the environment
Flynn, Charles Rene
1974-01-01T23:59:59.000Z
mm Hg at 0. 9 C. There 21 are 7. 48 x 10 iodine atoms per milliter of ethyl iodide and the thermal neutron activation cross-section is 6. 1 barns for iodine-127 which is 100 percent atom abundance (HOLDEN and WALKER, 1972). 16 Following a neutron... extension of the technique to atmospheric dispersion studies. 2 Assuming 10 ml of ethyl iodide is released and sampled at 3 -5 I m /sec at the location of the 10 dilution factor with a 90% collection efficiency (ACKLEY, ADAMS, and BROWNING, 1967; CRAIG...
Eichenfield, Matt; Safavi-Naeini, Amir H; Vahala, Kerry J; Painter, Oskar
2009-01-01T23:59:59.000Z
Periodically structured materials can sustain both optical and mechanical excitations which are tailored by the geometry. Here we analyze the properties of dispersively coupled planar photonic and phononic crystals: optomechanical crystals. In particular, the properties of co-resonant optical and mechanical cavities in quasi-1D (patterned nanobeam) and quasi-2D (patterned membrane) geometries are studied. It is shown that the mechanical Q and optomechanical coupling in these structures can vary by many orders of magnitude with modest changes in geometry. An intuitive picture is developed based upon a perturbation theory for shifting material boundaries that allows the optomechanical properties to be designed and optimized. Several designs are presented with mechanical frequency ~ 1-10 GHz, optical Q-factor Qo > 10^7, motional masses meff 100 femtograms, optomechanical coupling length LOM 10^7.
Dali, Sarabjyot Singh
2009-06-02T23:59:59.000Z
coefficients depicted fluctuations, and no match was found between the models and measurements for a number ratio of 1:3. The research lays the foundation for the determination of particle size distribution, volume fractions and an estimate of effective charge...
Bereau, Tristan; von Lilienfeld, O Anatole
2015-01-01T23:59:59.000Z
Accurate predictions of van der Waals forces require faithful models of dispersion, permanent and induced multipole-moments, as well as penetration and repulsion. We introduce a universal combined physics- and data-driven model of dispersion and multipole-moment contributions, respectively. Atomic multipoles are estimated "on-the-fly" for any organic molecule in any conformation using a machine learning approach trained on quantum chemistry results for tens of thousands of atoms in varying chemical environments drawn from thousands of organic molecules. Globally neutral, cationic, and anionic molecular charge states can be treated with individual models. Dispersion interactions are included via recently-proposed classical many-body potentials. For nearly one thousand intermolecular dimers, this approximate van der Waals model is found to reach an accuracy similar to that of state-of-the-art force fields, while bypassing the need for parametrization. Estimates of cohesive energies for the benzene crystal confi...
Analysis of Water Modeling of Air Entrainment
Beckermann, Christoph
Analysis of Water Modeling of Air Entrainment S.C. Jain Professor and Research Engineer Dept. Civil, C., "Analysis of Water Modeling of Air Entrainment," in Proceedings of the 48th SFSA Technical An analysis is reported of the water modeling experiments of Bates et al. (1994) to study air entrainment
Lee, S.
2011-05-17T23:59:59.000Z
The process of recovering the waste in storage tanks at the Savannah River Site (SRS) typically requires mixing the contents of the tank to ensure uniformity of the discharge stream. Mixing is accomplished with one to four dual-nozzle slurry pumps located within the tank liquid. For the work, a Tank 48 simulation model with a maximum of four slurry pumps in operation has been developed to estimate flow patterns for efficient solid mixing. The modeling calculations were performed by using two modeling approaches. One approach is a single-phase Computational Fluid Dynamics (CFD) model to evaluate the flow patterns and qualitative mixing behaviors for a range of different modeling conditions since the model was previously benchmarked against the test results. The other is a two-phase CFD model to estimate solid concentrations in a quantitative way by solving the Eulerian governing equations for the continuous fluid and discrete solid phases over the entire fluid domain of Tank 48. The two-phase results should be considered as the preliminary scoping calculations since the model was not validated against the test results yet. A series of sensitivity calculations for different numbers of pumps and operating conditions has been performed to provide operational guidance for solids suspension and mixing in the tank. In the analysis, the pump was assumed to be stationary. Major solid obstructions including the pump housing, the pump columns, and the 82 inch central support column were included. The steady state and three-dimensional analyses with a two-equation turbulence model were performed with FLUENT{trademark} for the single-phase approach and CFX for the two-phase approach. Recommended operational guidance was developed assuming that local fluid velocity can be used as a measure of sludge suspension and spatial mixing under single-phase tank model. For quantitative analysis, a two-phase fluid-solid model was developed for the same modeling conditions as the single-phase model. The modeling results show that the flow patterns driven by four pump operation satisfy the solid suspension requirement, and the average solid concentration at the plane of the transfer pump inlet is about 12% higher than the tank average concentrations for the 70 inch tank level and about the same as the tank average value for the 29 inch liquid level. When one of the four pumps is not operated, the flow patterns are satisfied with the minimum suspension velocity criterion. However, the solid concentration near the tank bottom is increased by about 30%, although the average solid concentrations near the transfer pump inlet have about the same value as the four-pump baseline results. The flow pattern results show that although the two-pump case satisfies the minimum velocity requirement to suspend the sludge particles, it provides the marginal mixing results for the heavier or larger insoluble materials such as MST and KTPB particles. The results demonstrated that when more than one jet are aiming at the same position of the mixing tank domain, inefficient flow patterns are provided due to the highly localized momentum dissipation, resulting in inactive suspension zone. Thus, after completion of the indexed solids suspension, pump rotations are recommended to avoid producing the nonuniform flow patterns. It is noted that when tank liquid level is reduced from the highest level of 70 inches to the minimum level of 29 inches for a given number of operating pumps, the solid mixing efficiency becomes better since the ratio of the pump power to the mixing volume becomes larger. These results are consistent with the literature results.
NONE
1995-11-01T23:59:59.000Z
The report constitutes a comprehensive site-specific risk assessment for the WTI incineration facility located in East Liverpool, OH. Volume IV describes the air dispersion model used to estimate air concentrations and particle deposition, as well as the results of the modeling exercise.
Environmental Pollution Air Pollution Dispersion Practical Air Pollution Dispersion
Moncrieff, John B.
Environmental Pollution Air Pollution Dispersion 1 of 5 Practical Â Air Pollution Dispersion in the lectures how such models can be used to explain observed concentrations of air pollutants in an area and to test `what-if' scenarios for pollution control and reduction. You will use the Gaussian Plume Model
Kruk, D., E-mail: danuta.kruk@matman.uwm.edu.pl [University of Warmia and Mazury in Olsztyn, Faculty of Mathematics and Computer Science, Sloneczna 54, PL-10710 Olsztyn (Poland); Hoffmann, S. K.; Goslar, J.; Lijewski, S. [Institute of Molecular Physics, Polish Academy of Sciences, Smoluchowskiego 17, 60-179 Poznan (Poland)] [Institute of Molecular Physics, Polish Academy of Sciences, Smoluchowskiego 17, 60-179 Poznan (Poland); Kubica-Misztal, A.; Korpa?a, A.; Oglodek, I.; Moscicki, J. [Institute of Physics, Jagiellonian University, Reymonta 4, 30-059 Krakow (Poland)] [Institute of Physics, Jagiellonian University, Reymonta 4, 30-059 Krakow (Poland); Kowalewski, J. [Arrhenius Laboratory, Department of Materials and Environmental Chemistry, Stockholm University, S-106 91 Stockholm (Sweden)] [Arrhenius Laboratory, Department of Materials and Environmental Chemistry, Stockholm University, S-106 91 Stockholm (Sweden); Rössler, E. A. [Universität Bayreuth, Experimentalphysik II, 95440 Bayreuth (Germany)] [Universität Bayreuth, Experimentalphysik II, 95440 Bayreuth (Germany)
2013-12-28T23:59:59.000Z
Electron Spin Resonance (ESR) spectroscopy and Nuclear Magnetic Relaxation Dispersion (NMRD) experiments are reported for propylene glycol solutions of the nitroxide radical: 4-oxo-TEMPO-d{sub 16} containing {sup 15}N and {sup 14}N isotopes. The NMRD experiments refer to {sup 1}H spin-lattice relaxation measurements in a broad frequency range (10 kHz–20 MHz). A joint analysis of the ESR and NMRD data is performed. The ESR lineshapes give access to the nitrogen hyperfine tensor components and the rotational correlation time of the paramagnetic molecule. The NMRD data are interpreted in terms of the theory of paramagnetic relaxation enhancement in solutions of nitroxide radicals, recently presented by Kruk et al. [J. Chem. Phys. 138, 124506 (2013)]. The theory includes the effect of the electron spin relaxation on the {sup 1}H relaxation of the solvent. The {sup 1}H relaxation is caused by dipole-dipole interactions between the electron spin of the radical and the proton spins of the solvent molecules. These interactions are modulated by three dynamic processes: relative translational dynamics of the involved molecules, molecular rotation, and electron spin relaxation. The sensitivity to rotation originates from the non-central positions of the interacting spin in the molecules. The electronic relaxation is assumed to stem from the electron spin–nitrogen spin hyperfine coupling, modulated by rotation of the radical molecule. For the interpretation of the NMRD data, we use the nitrogen hyperfine coupling tensor obtained from ESR and fit the other relevant parameters. The consistency of the unified analysis of ESR and NMRD, evaluated by the agreement between the rotational correlation times obtained from ESR and NMRD, respectively, and the agreement of the translation diffusion coefficients with literature values obtained for pure propylene glycol, is demonstrated to be satisfactory.
Model Structure Analysis for Model-based Operation of
Van den Hof, Paul
conducted in the framework of the "Integrated System Approach Petroleum Production" (ISAPP) programmeModel Structure Analysis for Model-based Operation of Petroleum Reservoirs #12;#12;MODEL STRUCTURE ANALYSIS FOR MODEL-BASED OPERATION OF PETROLEUM RESERVOIRS PROEFSCHRIFT ter verkrijging van de graad van
NONE
1997-05-01T23:59:59.000Z
Contents: Introduction; Combustion Engineering; Air Dispersion and Deposition Modeling; Accident Analysis; Exposure Assessment; Toxicology; and Ecological Risk Assessment.
Application of Computational Fluid Dynamics in the Forced Dispersion Modeling of LNG Vapor Clouds
Kim, Byung-Kyu
2013-05-31T23:59:59.000Z
droplet-LNG vapor system, which will serve in developing guidelines and establishing engineering criteria for a site-specific LNG mitigation system. Finally, the potentials of applying CFD modeling in providing guidance for setting up the design criteria...
Liquefied Natural Gas (LNG) Vapor Dispersion Modeling with Computational Fluid Dynamics Codes
Qi, Ruifeng
2012-10-19T23:59:59.000Z
of obstacles. A sensitivity analysis was conducted to illustrate the impact of key parameters on the accuracy of simulation results. In addition, a series of medium-scale LNG spill tests have been performed at the Brayton Fire Training Field (BFTF), College...
Transport and dispersion of pollutants in surface impoundments: a finite difference model
Yeh, G.T.
1980-07-01T23:59:59.000Z
A surface impoundment model by finite-difference (SIMFD) has been developed. SIMFD computes the flow rate, velocity field, and the concentration distribution of pollutants in surface impoundments with any number of islands located within the region of interest. Theoretical derivations and numerical algorithm are described in detail. Instructions for the application of SIMFD and listings of the FORTRAN IV source program are provided. Two sample problems are given to illustrate the application and validity of the model.
Ng, Chung-Sang
Four-Field Model for Dispersive Field-Line Resonances in the Colli... http://www.agu.org/cgi-bin/SFgate/SFgate?language: 10:45h AN: SM21B-08 TI: Four-Field Model for Dispersive Field-Line Resonances in the Collisionless. Recently, we have proposed a new theoretical model for FLRs in collisionless magnetospheric plasmas
VALDRIFT 1.0: A valley atmospheric dispersion model with deposition
Allwine, K.J.; Bian, X.; Whiteman, C.D.
1995-05-01T23:59:59.000Z
VALDRIFT version 1.0 is an atmospheric transport and diffusion model for use in well-defined mountain valleys. It is designed to determine the extent of ddft from aedal pesticide spraying activities, but can also be applied to estimate the transport and diffusion of various air pollutants in valleys. The model is phenomenological -- that is, the dominant meteorological processes goveming the behavior of the valley atmosphere are formulated explicitly in the model, albeit in a highly parameterized fashion. The key meteorological processes treated are: (1) nonsteady and nonhomogeneous along-valley winds and turbulent diffusivities, (2) convective boundary layer growth, (3) inversion descent, (4) noctumal temperature inversion breakup, and (5) subsidence. The model is applicable under relatively cloud-free, undisturbed synoptic conditions and is configured to operate through one diumal cycle for a single valley. The inputs required are the valley topographical characteristics, pesticide release rate as a function of time and space, along-valley wind speed as a function of time and space, temperature inversion characteristics at sunrise, and sensible heat flux as a function of time following sunrise. Default values are provided for certain inputs in the absence of detailed observations. The outputs are three-dimensional air concentration and ground-level deposition fields as a function of time.
Computational fluid dynamics for LNG vapor dispersion modeling: a key parameters study
Cormier, Benjamin Rodolphe
2009-05-15T23:59:59.000Z
The increased demand for liquefied natural gas (LNG) has led to the construction of several new LNG terminals in the United States (US) and around the world. To ensure the safety of the public, consequence modeling is used to estimate the exclusion...
Modelling and Hazard Analysis for Contaminated Sediments Using Stamp Model
Boyer, Edmond
to evaluate safety and to perform accident analysis). Finally, the third section describes the concreteModelling and Hazard Analysis for Contaminated Sediments Using Stamp Model Karim Hardy* , Franck complex, call for a comprehensive approach to risk analysis which characterises all threats (to humans
Bifurcation Analysis of Various Power System Models
Cañizares, Claudio A.
modeling, voltage collapse. I. Introduction Voltage stability problems in power systems may occurBifurcation Analysis of Various Power System Models William D. Rosehart Claudio A. Ca This paper presents the bifurcation analysis of a detailed power system model composed of an aggregated
Haste, T.L.; Kumar, N.; Chinkin, L.R.; Roberts, P.T.; Saeger, M.; Mulligan, S.; Yarbrough, J.
1999-07-01T23:59:59.000Z
Emission inventories are routinely used for planning purposes and as input to comprehensive photochemical air quality models. Photochemical model performance and the development of an effective control strategy are predicated on the accuracy of an underlying emission inventory. The purpose of this study was to compile an ozone precursor emission inventory for the El Paso/Ciudad Juarez/Southern Dona Ana region; generate a spatially and temporally resolved, speciated emission inventory; and evaluate the accuracy and representativeness of the inventory. Existing point, area, and mobile source emissions data were obtained from local government agencies. Emissions were spatially and temporally allocated to a gridded domain using region-specific demographic and land cover information. The inventory was processed using the US Environmental Protection Agency (EPA) recommended Urban Airshed Model Emissions Preprocessor System 2.0 (UAM-EPS 2.0) which generates emissions files that can be directly used as input to the Urban Airshed Model. An evaluation of the emission inventory was then performed by comparing inventory non-methane hydrocarbon (NMHC)/NO{sub x} and CO/NO{sub x} ratios to ambient ratios using air quality data collected during the 1996 Paso del Norte Ozone Study. Detailed NMHC species comparisons were also made in order to investigate the relative composition of individual hydrocarbon species in the emission inventory and in the ambient data. This initial emission inventory is expected to undergo substantial revisions during the upcoming photochemical modeling phase of the effort to better understand and improve the air quality of the El Paso/Ciudad Juarez/Southern Dona Ana region.
Review of the ENSR Report Titled "Update 1 to: A Dispersion Modeling
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'tOrigin ofEnergy at Waste-to-Energy usingofRetrofitting DoorsReview of SARAnalysisAnalysis of
Transportation Analysis, Modeling, and Simulation (TAMS) Application
Transportation Analysis, Modeling, and Simulation (TAMS) Application Center for Transportation Passenger Flows Supply Chain Efficiency Transportation: Energy Environment Safety Security Vehicle Technologies T he Center for Transportation Analysis (CTA) TAMS application is a web-based tool that supports
Kansas, University of
(FWM) in Single-Model Optical Fiber Shuxian Song Lightwave System, CIENA Corporation, ssong@ciena.com Kenneth) using the four-wave mixing (FWM) effect in single-mode optical fibers is presented. This method is based Polarization-mode dispersion (PMD) is oneof the major limiting factorsof ultrahigh-bit-rate optical fiber
Application of a one-dimensional dynamic model to estuarine dispersion problems
Benson, Clark Alan
1974-01-01T23:59:59.000Z
concentrations in the Houston Ship Channel. Model results showed that inchannel aeration would not only improve oxygen levels in the channel but greatly reduce the organic load discharged into Galveston Bay. Another conclusion was that tidal flows would have...-2 4-3 4-4 RESPONSE CURVES POR WASTE INPUTS TO THE CORPUS CHRISTI HARBOR CHANNEL . . ~ . . ~ ~ ~ ~ ~ TIDAL VARIATION OF WASTE CONCENTRATIONS AND FLOW IN THE CORPUS CHRISTI HARBOR ~ ~ ~ ~ BOD DISTRIBUTION ALONG THE CORPUS CHRISTI HARBOR CHANNEL...
Model Discrepancy in the Saturated Path Hydrology Model: Initial Analysis
Oakley, Jeremy
Model Discrepancy in the Saturated Path Hydrology Model: Initial Analysis Tom Fricker University discrepancy in the Saturated Path Hydrology Model (logSPM, Kuczera et al., 2006). The purpose). 1 #12;3 The Saturated Path Hydrology Model We consider the Saturated Path Hydrology Model (log
Air Dispersion Modeling of Radioactive Releases During Proposed PFP Complex Demolition Activities
Napier, Bruce A.; Droppo, James G.; Rishel, Jeremy P.
2011-01-11T23:59:59.000Z
This report is part of the planning process for the demolition of the 234-5Z, 236-Z, 242-Z, and 291-Z-1 structures at the Plutonium Finishing Plant (PFP) on the Hanford Site. Pacific Northwest National Laboratory (PNNL) supports the U.S. Department of Energy (DOE) and the CH2M HILL Plateau Remediation Company (CHPRC) demolition planning effort by making engineering estimates of potential releases for various potential demolition alternatives. This report documents an analysis considering open-air demolition using standard techniques. It does not document any decisions about the decommissioning approaches; it is expected that this report will be revisited as the final details of the demolition are developed.
Modeling the Integrated Performance of Dispersion and Monolithic U-Mo Based Fuels
Daniel M. Wachs; Douglas E. Burkes; Steven L. Hayes; Karen Moore; Greg Miller; Gerard Hofman; Yeon Soo Kim
2006-10-01T23:59:59.000Z
The evaluation and prediction of integrated fuel performance is a critical component of the Reduced Enrichment for Research and Test Reactors (RERTR) program. The PLATE code is the primary tool being developed and used to perform these functions. The code is being modified to incorporate the most recent fuel/matrix interaction correlations as they become available for both aluminum and aluminum/silicon matrices. The code is also being adapted to treat cylindrical and square pin geometries to enhance the validation database by including the results gathered from various international partners. Additional modeling work has been initiated to evaluate the thermal and mechanical performance requirements unique to monolithic fuels during irradiation.
Worley, Christopher G [Los Alamos National Laboratory
2009-01-01T23:59:59.000Z
Energy dispersive X-ray fluorescence (EDXRF) spectra collected from alpha emitters are complicated by artifacts inherent to the alpha decay process, particularly when using portable instruments. For example, {sup 239}Pu EDXRF spectra exhibit a prominent uranium L X-ray emission peak series due to sample alpha decay rather than source-induced X-ray fluorescence. A portable EDXRF instrument was used to collect spectra from plutonium, americium, and a Pu-contaminated steel sample. The plutonium sample was also analyzed by wavelength dispersive XRF to demonstrate spectral differences observed when using these very different instruments.
Sandia National Laboratories: Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
from improved climate models to performance models for underground waste storage to 3D printing and digital rock physics. Marianne Walck (Director ... NASA Award for Marginal...
Sandia National Laboratories: Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
society and delivers resources that advance computing as a science ... Wind Generator Modeling On June 26, 2014, in Computational Modeling & Simulation, Energy, Energy...
Gross, George
technologies considered in the study are photovoltaics (PV), fuel cells, and microturbine units. The rationale Terms--Dispersed generation, limited transfer capability, photovoltaics generation, power systems efficiency, which were located far away from customer sites. A corollary result was the construction
H2A Hydrogen Delivery Infrastructure Analysis Models and Conventional...
H2A Hydrogen Delivery Infrastructure Analysis Models and Conventional Pathway Options Analysis Results - Interim Report H2A Hydrogen Delivery Infrastructure Analysis Models and...
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Embry, Irucka; Roland, Victor; Agbaje, Oluropo; Watson, Valetta; Martin, Marquan; Painter, Roger; Byl, Tom; Sharpe, Lonnie
2013-01-01T23:59:59.000Z
A new residence-time distribution (RTD) function has been developed and applied to quantitative dye studies as an alternative to the traditional advection-dispersion equation (AdDE). The new method is based on a jointly combined four-parameter gamma probability density function (PDF). The gamma residence-time distribution (RTD) function and its first and second moments are derived from the individual two-parameter gamma distributions of randomly distributed variables, tracer travel distance, and linear velocity, which are based on their relationship with time. The gamma RTD function was used on a steady-state, nonideal system modeled as a plug-flow reactor (PFR) in the laboratory to validate themore »effectiveness of the model. The normalized forms of the gamma RTD and the advection-dispersion equation RTD were compared with the normalized tracer RTD. The normalized gamma RTD had a lower mean-absolute deviation (MAD) (0.16) than the normalized form of the advection-dispersion equation (0.26) when compared to the normalized tracer RTD. The gamma RTD function is tied back to the actual physical site due to its randomly distributed variables. The results validate using the gamma RTD as a suitable alternative to the advection-dispersion equation for quantitative tracer studies of non-ideal flow systems.« less
MAUI: Modeling, Analysis, and Ultrafast Imaging | Argonne National...
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Data Science Modeling and Simulation Multimodal Imaging MAUI: Modeling, Analysis, and Ultrafast Imaging MAUI: Modeling, Analysis, and Ultrafast Imaging Project Goals...
Agent-Based Modeling and Simulation for Hydrogen Transition Analysis...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Agent-Based Modeling and Simulation for Hydrogen Transition Analysis Agent-Based Modeling and Simulation for Hydrogen Transition Analysis Presentation on Agent-Based Modeling and...
Office of Environmental Management (EM)
point) 3. use DCF parameter criteria 4. time average vs. plume meander 5. default resuspension 6. distance to site boundary DOE Concurrence 83 - 103 App. 51 - 103 For...
Sandia National Laboratories: Modeling & Analysis
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to address the most challenging and demanding climate-change issues. Accelerated Climate Modeling for Energy (ACME) is designed to accel-erate the development and applica-tion of...
Scripted Building Energy Modeling and Analysis (Presentation)
Macumber, D.
2012-10-01T23:59:59.000Z
Building energy analysis is often time-intensive, error-prone, and non-reproducible. Entire energy analyses can be scripted end-to-end using the OpenStudio Ruby API. Common tasks within an analysis can be automated using OpenStudio Measures. Graphical user interfaces (GUI's) and component libraries reduce time, decrease errors, and improve repeatability in energy modeling.
Hamiltonian dynamics of breathers with third-order dispersion
Mookherjea, Shayan; Yariv, Amnon
2001-08-01T23:59:59.000Z
We present a nonperturbative analysis of certain dynamical aspects of breathers (dispersion-managed solitons) including the effects of third-order dispersion. The analysis highlights the similarities to and differences from the well-known analogous procedures for second-order dispersion. We discuss in detail the phase-space evolution of breathers in dispersion-managed systems in the presence of third-order dispersion. {copyright} 2001 Optical Society of America
Determination of dispersivities from a natural-gradient dispersion test
Hoover, Caroline Marie
1985-01-01T23:59:59.000Z
of H drolo can be valuable predictive tool s (Wang and Anderson, 1982). Since the late 1800's, mathematical models have been used in problems of groundwater flow. Their appl ication now extends to problems of contaminant transport and migration...DETERMINATION OF DISPERSIVITIES FROM A NATURAL-GRADIENT DISPERSION TEST A Thesis by CAROLINE MARIE HOOVER Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirements for the degree of MASTER...
An Analysis Platform for Multiscale Hydrogeologic Modeling with...
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An Analysis Platform for Multiscale Hydrogeologic Modeling with Emphasis on Hybrid Multiscale Methods. An Analysis Platform for Multiscale Hydrogeologic Modeling with Emphasis on...
Grid Monitoring, Modeling, and Analysis | ornl.gov
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Modeling, and Analysis SHARE Grid Monitoring, Modeling, and Analysis The electric power industry has undergone extensive changes over the past several decades and become...
Improvements to Hydrogen Delivery Scenario Analysis Model (HDSAM...
Office of Environmental Management (EM)
Improvements to Hydrogen Delivery Scenario Analysis Model (HDSAM) and Results Improvements to Hydrogen Delivery Scenario Analysis Model (HDSAM) and Results This presentation by...
Combustion instability modeling and analysis
Santoro, R.J.; Yang, V.; Santavicca, D.A. [Pennsylvania State Univ., University Park, PA (United States); Sheppard, E.J. [Tuskeggee Univ., Tuskegee, AL (United States). Dept. of Aerospace Engineering
1995-12-31T23:59:59.000Z
It is well known that the two key elements for achieving low emissions and high performance in a gas turbine combustor are to simultaneously establish (1) a lean combustion zone for maintaining low NO{sub x} emissions and (2) rapid mixing for good ignition and flame stability. However, these requirements, when coupled with the short combustor lengths used to limit the residence time for NO formation typical of advanced gas turbine combustors, can lead to problems regarding unburned hydrocarbons (UHC) and carbon monoxide (CO) emissions, as well as the occurrence of combustion instabilities. The concurrent development of suitable analytical and numerical models that are validated with experimental studies is important for achieving this objective. A major benefit of the present research will be to provide for the first time an experimentally verified model of emissions and performance of gas turbine combustors. The present study represents a coordinated effort between industry, government and academia to investigate gas turbine combustion dynamics. Specific study areas include development of advanced diagnostics, definition of controlling phenomena, advancement of analytical and numerical modeling capabilities, and assessment of the current status of our ability to apply these tools to practical gas turbine combustors. The present work involves four tasks which address, respectively, (1) the development of a fiber-optic probe for fuel-air ratio measurements, (2) the study of combustion instability using laser-based diagnostics in a high pressure, high temperature flow reactor, (3) the development of analytical and numerical modeling capabilities for describing combustion instability which will be validated against experimental data, and (4) the preparation of a literature survey and establishment of a data base on practical experience with combustion instability.
Sandia Energy - Modeling & Analysis
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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:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757Kelley Ruehl Home KelleyMary CrawfordMesaModelingClimate
Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's
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 current C3EDepartment of Energy Office of Energy Efficiency andPotomac
Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's
Office of Environmental Management (EM)
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 1,006 492 742 33 1112011 Strategic2Uranium TransferonUS-India EnergyUnlocking Customer Value: TheSummit
Update 2 to: A Dispersion Modeling Analysis of Downwash from Mirant's
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Update 3 to: A Dispersion Modeling Analysis of Downwash from Mirant's
Office of Environmental Management (EM)
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 1,006 492 742 33 1112011 Strategic2Uranium TransferonUS-India EnergyUnlocking Customer Value:
Update 4 to: A Dispersion Modeling Analysis of Downwash from Mirant's
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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 1,006 492 742 33 1112011 Strategic2Uranium TransferonUS-India EnergyUnlocking Customer Value:Potomac River Power
Update 5 to: A Dispersion Modeling Analysis of Downwash from Mirant's
Office of Environmental Management (EM)
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 1,006 492 742 33 1112011 Strategic2Uranium TransferonUS-India EnergyUnlocking Customer Value:Potomac River
Update 6 to: A Dispersion Modeling Analysis of Downwash from Mirant's
Office of Environmental Management (EM)
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 1,006 492 742 33 1112011 Strategic2Uranium TransferonUS-India EnergyUnlocking Customer Value:Potomac RiverPotomac
Update 2 to: A Dispersion Modeling Analysis of Downwash from Mirant's
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 DensityEnergy U.S.-China Electric Vehicle and03/02 TUE 08:59 FAX 423 241Upcoming Workshops
Update 3 to: A Dispersion Modeling Analysis of Downwash from Mirant's
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 DensityEnergy U.S.-China Electric Vehicle and03/02 TUE 08:59 FAX 423 241Upcoming WorkshopsPotomac River
Update 4 to: A Dispersion Modeling Analysis of Downwash from Mirant's
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 DensityEnergy U.S.-China Electric Vehicle and03/02 TUE 08:59 FAX 423 241Upcoming WorkshopsPotomac
Update 5 to: A Dispersion Modeling Analysis of Downwash from Mirant's
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 DensityEnergy U.S.-China Electric Vehicle and03/02 TUE 08:59 FAX 423 241Upcoming WorkshopsPotomacPotomac
Update 6 to: A Dispersion Modeling Analysis of Downwash from Mirant's
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 DensityEnergy U.S.-China Electric Vehicle and03/02 TUE 08:59 FAX 423 241Upcoming
Modeling and Analysis ofModeling and Analysis of Hybrid Control SystemsHybrid Control Systems
Johansson, Karl Henrik
control systems, MOVEP, Bordeaux, 2006 Automatic gear boxAutomatic gear box #12;Karl H. Johansson, HybridModeling and Analysis ofModeling and Analysis of Hybrid Control SystemsHybrid Control Systems Karl.kth.se/~kallej MOVEP 2006, Bordeaux, France Karl H. Johansson, Hybrid control systems, MOVEP, Bordeaux
L. A. Falkovsky
2007-08-11T23:59:59.000Z
Taking into account the constraints imposed by the lattice symmetry, the phonon dispersion is calculated for graphene with interactions between the first and second nearest neighbors in the framework of the Born-von Karman model. Analytical expressions are obtained for the out-of-plane (bending) modes determined only by two force constants as well as for the in-plane modes with four force constants. Values of the force constants are found in fitting to elastic constants and Raman frequencies observed in graphite.
Summer Academy 2011 Stochastic Analysis, Modelling and
Pfeifer, Holger
Summer Academy 2011 Stochastic Analysis, Modelling and Simulation of Complex Structures September pleasure to welcome you to the Summer Academy 2011, which is held at the alpine conference center "Söllerhaus" in Hirschegg/Kleinwalsertal during the two weeks of September 11-24, 2011. The Summer Academy
Chen, Qingyan "Yan"
for the analysis of the IAQ in ice rink facilities. The method is very easy to use, fast and fairly inexpensive effectiveness in an ice skating arena in the Boston area and for the validation of a developed CFD model : IAQ, contaminant dispersal, CFD modeling, Ice Skating Arenas 1. INTRODUCTION. Exposure to air
Gudiksen, P.H.; Walton, J.J.; Alpert, D.J.; Johnson, J.D.
1982-01-01T23:59:59.000Z
This work explores the use of principal components analysis coupled to three-dimensional atmospheric transport and dispersion models for evaluating the environmental consequences of reactor accidents. This permits the inclusion of meteorological data from multiple sites and the effects of topography in the consequence evaluation; features not normally included in such analyses. The technique identifies prevailing regional wind patterns and their frequencies for use in the transport and dispersion calculations. Analysis of a hypothetical accident scenario involving a release of radioactivity from a reactor situated in a river valley indicated the technique is quite useful whenever recurring wind patterns exist, as is often the case in complex terrain situations. Considerable differences were revealed in a comparison with results obtained from a more conventional Gaussian plume model using only the reactor site meteorology and no topographic effects.
Broadband dispersion extraction using simultaneous sparse penalization
Saligrama, Venkatesh
the borehole and thus dispersion analysis is of considerable interest to the geophysical and oilfield services community. A brief survey of borehole acoustic waves and their use in mechanical characterization is a function of frequency. This function characterizes the mode and is referred to as a dispersion curve
analysis risk models: Topics by E-print Network
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of the analysis Paris-Sud XI, Universit de 6 IT Security Risk Analysis based on Business Process Models enhanced with Security Requirements Computer Technologies and...
Technical Cost Modeling - Life Cycle Analysis Basis for Program...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
- Life Cycle Analysis Basis for Program Focus Technical Cost Modeling - Life Cycle Analysis Basis for Program Focus Polymer Composites Research in the LM Materials Program Overview...
TSPA Model Development and Sensitivity Analysis of Processes...
Office of Environmental Management (EM)
Analysis of Processes Affecting Performance of a Salt Repository for Disposal of Heat-Generating Nuclear Waste TSPA Model Development and Sensitivity Analysis of Processes...
Dynamical System Analysis for a phantom model
Nilanjana Mahata; Subenoy Chakraborty
2014-04-24T23:59:59.000Z
The paper deals with a dynamical system analysis related to phantom cosmological model . Here gravity is coupled to phantom scalar field having scalar coupling function and a potential. The field equations are reduced to an autonomous dynamical system by a suitable redefinition of the basic variables and assuming some suitable form of the potential function. Finally, critical points are evaluated, their nature have been analyzed and corresponding cosmological scenario has been discussed.
Scripted Building Energy Modeling and Analysis: Preprint
Hale, E.; Macumber, D.; Benne, K.; Goldwasser, D.
2012-08-01T23:59:59.000Z
Building energy modeling and analysis is currently a time-intensive, error-prone, and nonreproducible process. This paper describes the scripting platform of the OpenStudio tool suite (http://openstudio.nrel.gov) and demonstrates its use in several contexts. Two classes of scripts are described and demonstrated: measures and free-form scripts. Measures are small, single-purpose scripts that conform to a predefined interface. Because measures are fairly simple, they can be written or modified by inexperienced programmers.
A dispersion curve study of dredged spoil basin inlets
Male, Robert
1974-01-01T23:59:59.000Z
13 19 IV. PROCEDURES AND TECHNIOUHS Test Procenures. Interpretation of Dispersion Curves. Data Analysis, 26 26 28 37 V. EXPERIMENTAL RESULTS. VI. DISCUSSION. The Model as a Settling Tank Relationship to Dredging Practice. 58 58 70 VII... all the spoil must be confined. The additional costs to be incurred in that region over ten years vary from $2. 62 million to $12. 87 million according to the confinement scheme. In the USA, most of the dredging projects are under the con- trol...
NREL's System Advisor Model Simplifies Complex Energy Analysis...
Office of Scientific and Technical Information (OSTI)
NREL's System Advisor Model Simplifies Complex Energy Analysis (Fact Sheet) Re-direct Destination: NREL has developed a tool -- the System Advisor Model (SAM) -- that can help...
Dryout droplet distribution and dispersed flow film boiling
Hill, Wayne S.
1982-01-01T23:59:59.000Z
Dispersed flow film boiling is characterized by liquid-phase droplets entrained in a continuous vapor-phase flow. In a previous work at MIT, a model of dispersed flow heat transfer was developed, called the Local Conditions ...
Sandia National Laboratories: Analysis, Modeling, Cost of Energy...
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ProgramsAnalysis, Modeling, Cost of Energy, and Policy Impact: Wind Vision 2014 Analysis, Modeling, Cost of Energy, and Policy Impact: Wind Vision 2014 The "20% Wind Energy by...
Estimating dispersion from a tornado vortex and mesocyclone
Weber, A.H.; Hunter, C.H.
1996-06-01T23:59:59.000Z
Atmospheric dispersion modeling is required to ensure that a postulated breach in radionuclide storage containers at the Savannah River Site (SRS) from a tornado strike of Fujita-scale intensity F2 or higher will not result in an unacceptable dose to individuals. Fujita-scale tornado descriptions are included in Appendix A of this report. Dispersion models previously used at SRS for estimating dispersion following a tornado strike were developed by D.W. Pepper in 1975 (DP-1387, Dispersion of Small Particles) and H.R. Haynes and D.W. Taylor in 1983 (DPST-82-982, Estimating Doses from Tornado Winds). Research conducted in 1983 on the formation and evolution of tornadic thunderstorms has lead to a more complete understanding of the tornado vortex and associated persistent updraft and downdraft regions within the parent thunderstorm. To ensure that appropriate, contemporary methods are used for safety analysis, the Pepper model and the Haynes and Taylor model were evaluated with respect to current knowledge of circulations within tornadic thunderstorms. Pepper`s model is complex numerically but contains most of the desired physical parameterizations. Haynes and Taylor`s model is used with the Puff-Plume model (an emergency response model on the Weather INformation and Display System at SRS) and has provisions for radionuclide deposition and rainout. Haynes and Taylor assumed heavy rain following the tornado for a period of ten minutes, followed by a lighter rain for another ten minutes, then no rain for the period when the material is transported to 100 km downwind. However, neither model incorporates the effects of a nearby thunderstorm downdraft.
Yushankhai, V.Y.; Oudovenko, V.S. [Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region (Russian Federation)] [Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region (Russian Federation); Hayn, R. [Max Planck Arbeitsgruppe Elektronensysteme, Technische Universitaet Dresden, D-01062 Dresden (Federal Republic of Germany)] [Max Planck Arbeitsgruppe Elektronensysteme, Technische Universitaet Dresden, D-01062 Dresden (Federal Republic of Germany)
1997-06-01T23:59:59.000Z
The reduction of the three-band p-d model for the CuO{sub 2} plane in cuprates with the standard set of parameters as derived by Hybertsen {ital et al.} [Phys. Rev. B {bold 41}, 11068 (1990)] to an effective t-t{sup {prime}}-t{sup {double_prime}}-J model with a three-site hopping term is discussed in detail in the framework of the cell-perturbation method. The reduction procedure is formulated to avoid any ambiguity in obtaining the correct signs of the hopping parameters in the effective model, and the contributions of first and second order resulting from the intercell hopping are distinguished. Based on the so-defined extended t-J model, the dispersion of a single hole in an antiferromagnetic background is calculated both by a variational ansatz and within the self-consistent Born approximation (SCBA). An extension of the variational method allows us to investigate the influence of a three-site hopping term both on the mean-field level and beyond this approximation. The latter corrections are shown to be small. Both methods give the coinciding result that the additional hopping terms lead to a more isotropic minimum of the dispersion at the point ({pi}/2,{pi}/2) in k space and to a slightly increased bandwidth in comparison to the pure t-J model. These results are compared with recent photoemission measurements for Sr{sub 2}CuO{sub 2}Cl{sub 2} [Wells {ital et al.}, Phys. Rev. Lett. {bold 74}, 964 (1995)], showing an improvement against the pure t-J model, but no complete agreement. In particular, a small anisotropy in the calculated effective masses remains. The lifetime of the hole quasiparticles is investigated within the SCBA, and it is shown that the upper part of the hole spectrum loses its quasiparticle character due to a strong increase of damping if the bare hole bandwidth exceeds a certain threshold value of roughly 2J. {copyright} {ital 1997} {ital The American Physical Society}
Modeling Masticatory Muscle Force in Finite Element Analysis
Modeling Masticatory Muscle Force in Finite Element Analysis: Sensitivity Analysis Using Principal: electromyography; muscle force; mastication; primates; principal coordinates analysis; finite element analysis Our Origins, University of Arizona, Tempe, Arizona ABSTRACT Our work on a finite element model of the skull
Helton, J.C. [Arizona State Univ., Tempe, AZ (United States); Johnson, J.D. [GRAM, Inc., Albuquerque, NM (United States); McKay, M.D. [Los Alamos National Lab., NM (United States); Shiver, A.W.; Sprung, J.L. [Sandia National Labs., Albuquerque, NM (United States)
1995-01-01T23:59:59.000Z
Uncertainty and sensitivity analysis techniques based on Latin hypercube sampling, partial correlation analysis and stepwise regression analysis are used in an investigation with the MACCS model of the early health effects associated with a severe accident at a nuclear power station. The primary purpose of this study is to provide guidance on the variables to be considered in future review work to reduce the uncertainty in the important variables used in the calculation of reactor accident consequences. The effects of 34 imprecisely known input variables on the following reactor accident consequences are studied: number of early fatalities, number of cases of prodromal vomiting, population dose within 10 mi of the reactor, population dose within 1000 mi of the reactor, individual early fatality probability within 1 mi of the reactor, and maximum early fatality distance. When the predicted variables are considered collectively, the following input variables were found to be the dominant contributors to uncertainty: scaling factor for horizontal dispersion, dry deposition velocity, inhalation protection factor for nonevacuees, groundshine shielding factor for nonevacuees, early fatality hazard function alpha value for bone marrow exposure, and scaling factor for vertical dispersion.
Broader source: Energy.gov [DOE]
The Nuclear Regulatory Commission’s (NRC’s) code for predicting off-siteconsequences, MACCS2 (Chanin, et al. 1998) (MELCOR Accident Consequence CodeSystem, Version 2), uses a simplified model for...
MnO spin-wave dispersion curves from neutron powder diffraction
Goodwin, Andrew L.; Dove, Martin T. [Department of Earth Sciences, Cambridge University, Downing Street, Cambridge CB2 3EQ (United Kingdom); Tucker, Matthew G. [ISIS Facility, Rutherford Appleton Laboratory, Chilton, Didcot, Oxfordshire OX11 0QX (United Kingdom); Keen, David A. [ISIS Facility, Rutherford Appleton Laboratory, Chilton, Didcot, Oxfordshire OX11 0QX (United Kingdom); Department of Physics, Oxford University, Clarendon Laboratory, Parks Road, Oxford OX1 3PU (United Kingdom)
2007-02-15T23:59:59.000Z
We describe a model-independent approach for the extraction of spin-wave dispersion curves from powder neutron total scattering data. Our approach is based on a statistical analysis of real-space spin configurations to calculate spin-dynamical quantities. The RMCPROFILE implementation of the reverse Monte Carlo refinement process is used to generate a large ensemble of supercell spin configurations from MnO powder diffraction data collected at 100 K. Our analysis of these configurations gives spin-wave dispersion curves for MnO that agree well with those determined independently using neutron triple-axis spectroscopic techniques.
Stochastic multiscale models for fracture analysis of functionally graded materials
Rahman, Sharif
Chakraborty, Sharif Rahman * Department of Mechanical and Industrial Engineering, College of Engineering three multiscale models, including sequential, invasive, and concurrent models, for fracture analysis-intensity factors or accurate probability of fracture initiation. The concurrent multiscale model is sufficiently
SURVEY, ANALYSIS AND VALIDATION OF INFORMATION FOR BUSINESS PROCESS MODELING
SURVEY, ANALYSIS AND VALIDATION OF INFORMATION FOR BUSINESS PROCESS MODELING Nuno Castela Escola, Business Processes, Informational Resources, Activities, UML Abstract: Business processes modeling became a fundamental task for organizations. To model business processes is necessary to know all the activities
Gorenz, Heather M. (Albuquerque, NM); Brockmann, John E. (Albuquerque, NM); Lucero, Daniel A. (Albuquerque, NM)
2011-09-20T23:59:59.000Z
A powder dispersion method and apparatus comprising an air eductor and a powder dispensing syringe inserted into a suction connection of the air eductor.
Global analysis of the intranuclear cascade model
Braun, E.; Fraenkel, Z.
1986-07-01T23:59:59.000Z
An analysis of the predictions of the intranuclear cascade model of Yariv-Fraenkel is made by means of global variables (flow angle and transverse momentum distributions). Signatures for the flow effect in the reaction are studied and the distributions of the shape of the events are determined, using the sphericity and coplanarity as shape parameters. The dependence of the results on two parameters of the model is investigated: the rearrangement of the particles in the Fermi sea after each particle-particle collision and the nuclear potential. The influence of the evaporation particles on the flow angle is checked. A comparison with the experimental results of the plastic ball/plastic wall group is made, using a simulation filter in order to take the experimental acceptance of the detector into account. The dependence of the flow angle on the mass of the colliding ions and on the bombarding energy is also studied. We find that the model predicts finite flow angles of the emitted particles. Slow rearrangement and a central potential cause larger flow angles. However, in all cases we find that the most probable calculated flow angle is smaller than the experimental one.
Analysis of partial loss reward models and its application
Telek, Miklós
Analysis of partial loss reward models and its application #3; M. Telek 1 , S. R#19;acz 2 1. The applicability of partial loss re- ward models and the proposed numerical analysis methods are demonstrated via the performance analysis of a computer system executing long running batch programs with checkpointing. Keywords
Modeling Elastic Properties in Finite-Element Analysis: How Much
Modeling Elastic Properties in Finite- Element Analysis: How Much Precision Is Needed to Produce analysis was investigated using a finite-element model of a Macaca fascicularis skull. Four finite-element realistically using the orthotropic elastic properties employed in analysis 4. Results suggest that finite-element
Dispersion strengthened copper
Sheinberg, H.; Meek, T.T.; Blake, R.D.
1990-01-09T23:59:59.000Z
A composition of matter is described which is comprised of copper and particles which are dispersed throughout the copper, where the particles are comprised of copper oxide and copper having a coating of copper oxide. A method for making this composition of matter is also described. This invention relates to the art of powder metallurgy and, more particularly, it relates to dispersion strengthened metals.
Shu Tao; Xinrong Li; Yu Yang; Raymond M. Coveney, Jr.; Xiaoxia Lu; Haitao Chen; Weiran Shen [Peking University, Beijing (China). Laboratory for Earth Surface Processes, College of Environmental Sciences
2006-08-01T23:59:59.000Z
A USEPA procedure, ISCLT3 (Industrial Source Complex Long-Term), was applied to model the spatial distribution of polycyclic aromatic hydrocarbons (PAHs) emitted from various sources including coal, petroleum, natural gas, and biomass into the atmosphere of Tianjin, China. Benzo(a)pyrene equivalent concentrations (BaPeq) were calculated for risk assessment. Model results were provisionally validated for concentrations and profiles based on the observed data at two monitoring stations. The dominant emission sources in the area were domestic coal combustion, coke production, and biomass burning. Mainly because of the difference in the emission heights, the contributions of various sources to the average concentrations at receptors differ from proportions emitted. The shares of domestic coal increased from {approximately} 43% at the sources to 56% at the receptors, while the contributions of coking industry decreased from {approximately} 23% at the sources to 7% at the receptors. The spatial distributions of gaseous and particulate PAHs were similar, with higher concentrations occurring within urban districts because of domestic coal combustion. With relatively smaller contributions, the other minor sources had limited influences on the overall spatial distribution. The calculated average BaPeq value in air was 2.54 {+-} 2.87 ng/m{sup 3} on an annual basis. Although only 2.3% of the area in Tianjin exceeded the national standard of 10 ng/m{sup 3}, 41% of the entire population lives within this area. 37 refs., 9 figs.
Extracting Team Mental Models Through Textual Analysis Kathleen M. Carley
Sadeh, Norman M.
Extracting Team Mental Models Through Textual Analysis Kathleen M. Carley Associate Professor of this paper appears in: Kathleen M. Carley, 1997, "Extracting Team Mental Models Through Textual Analysis for this paper, but for future work in this area. #12;-- 1 -- Extracting Team Mental Models Through Textual
SIMULATION, MODELING AND ANALYSIS OF A WATER TO AIR
SIMULATION, MODELING AND ANALYSIS OF A WATER TO AIR HEAT PUMP By ARUN SHENOY Bachelor December, 2004 #12;SIMULATION, MODELING AND ANALYSIS OF A WATER TO AIR HEAT PUMP Thesis Approved................................................................3 2.1. Equation fit water to air heat pump and chiller models...............................3 2
Agent-Based Modeling and Simulation for Hydrogen Transition Analysis
Broader source: Energy.gov [DOE]
Presentation on Agent-Based Modeling and Simulation for Hydrogen Transition Analysis given by Marianne Mintz of ANL during the DOE Hydrogen Transition Analysis Workshop on January 26, 2006.
Rotordynamic instability: nonlinear modeling and analysis
Cooper, Charles Ira
1998-01-01T23:59:59.000Z
A basic rotordynamic model is developed for an crographics. unbalanced rotor connected to a shaft modeled as a continuous beam. This model examines the effects of nonlinear dynamics strictly related to the rotor and shaft. The model dynamics include...
analysis model tsam: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
words Krzysztof Radzicki; Stphane Bonelli 2012-01-01 293 Generalized Impulse Response Analysis in Linear Multivariate Models CiteSeer Summary: Building on Koop, Pesaran and...
Joint Meeting on Hydrogen Delivery Modeling and Analysis Meeting...
Broader source: Energy.gov (indexed) [DOE]
Meeting on Hydrogen Delivery Modeling and Analysis FreedomCAR and Fuels Partnership Hydrogen Delivery, Storage and Fuel Pathway Integration Tech Teams May 8-9, 2007 Energetics...
TROPICAL DEFORESTATION MODELLING: A COMPARATIVE ANALYSIS OF DIFFERENT PREDICTIVE APPROACHES.
Paris-Sud XI, UniversitÃ© de
TROPICAL DEFORESTATION MODELLING: A COMPARATIVE ANALYSIS OF DIFFERENT PREDICTIVE APPROACHES-time discretisation; Remote Sensing; Neural Networks; Markov Chains; MCE; Dinamica; Risk management; Deforestation
Which Models Matter: Uncertainty and Sensitivity Analysis for
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Models Matter: Uncertainty and Sensitivity Analysis for Photovoltaic Power Systems Clifford W. Hansen and Andrew Pohl Sandia National Laboratories, Albuquerque, NM, 87185-1033, USA...
analysis system modeling: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Newcastle upon Tyne, University of 98 EquationFree System-Level Dynamic Modeling and Analysis in Energy Processing Engineering Websites Summary: Equation-Free System-Level...
Noisy Independent Factor Analysis Model for Density Estimation and Classification
Amato, U.
2009-06-09T23:59:59.000Z
We consider the problem of multivariate density estimation when the unknown density is assumed to follow a particular form of dimensionality reduction, a noisy independent factor analysis (IFA) model. In this model the ...
Studies of Neurological Transmission Analysis Hierarchical Bayesian Mixture Models
West, Mike
Studies of Neurological Transmission Analysis using Hierarchical Bayesian Mixture Models MIKE WEST of individual neuro transmitter release sites at nerve junctions. Models attempt to capture scientific features, with result ing neurophysiological insights in some recently generated experimental contexts. Further
Modeling and Analysis of CSP Systems (Fact Sheet)
Not Available
2010-08-01T23:59:59.000Z
Fact sheet describing NREL CSP Program capabilities in the area of modeling and analysis of CSP systems: assessing the solar resource, predicting performance and cost, studying environmental impact, and developing modeling software packages.
Vaghetto, Rodolfo
2012-07-16T23:59:59.000Z
An experimental activity was performed to observe and study the effects of graphite dispersion and deposition on thermal hydraulic phenomena in a Reactor Cavity Cooling System (RCCS). The small scale RCCS experimental facility (16.5cm x 16.5cm x 30...
atmospheric dispersion coefficient: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
the earth surface. In general, the atmospheric motion is driven by the intense solar energy arriving at the equator 3 A GIS-based atmospheric dispersion model Computer...
atmospheric dispersion calculations: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
the earth surface. In general, the atmospheric motion is driven by the intense solar energy arriving at the equator 4 A GIS-based atmospheric dispersion model Computer...
atmospheric dispersion experiment: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
the earth surface. In general, the atmospheric motion is driven by the intense solar energy arriving at the equator 2 A GIS-based atmospheric dispersion model Computer...
Analysis of inflationary cosmological models in gauge theories of gravitation
A. V. Minkevich; A. S. Garkun
2005-12-22T23:59:59.000Z
Inflationary homogeneous isotropic cosmological models filled by scalar fields and ultrarelativistic matter are examined in the framework of gauge theories of gravitation. By using quadratic scalar field potential numerical analysis of flat, open and closed models is curried out. Properties of cosmological models are investigated in dependence on indefinite parameter of cosmological equations and initial conditions at a bounce. Fulfilled analysis demonstrates regular character of all cosmological models.
Yoder, Graydon L.
1980-01-01T23:59:59.000Z
Dispersed flow consists of small liquid droplets entrained in a flowing vapor. This flow regime can occur in cryogenic equipment, in steam generators, and during nuclear reactor loss of coolant accidents. A theoretical ...
Distributed Temporal Logic for the Analysis of Security Protocol Models
Basin, David
, showing that it is sufficient to consider models in which the intruder completely controls the networkDistributed Temporal Logic for the Analysis of Security Protocol Models David Basin Department to reason about and relate different security-protocol models. This includes reasoning about model
Analysis and Clustering of Model Clones: An Automotive Industrial Experience
Cordy, James R.
Analysis and Clustering of Model Clones: An Automotive Industrial Experience Manar H. Alalfi, James similarity in industrial automotive models. We apply our model clone detection tool, SIMONE, to identify and suggests better ways to maintain them. I. INTRODUCTION In todays automotive industry, models are widely
Atmospheric dispersion in mountain valleys and basins
Allwine, K.J.
1992-01-01T23:59:59.000Z
The primary goal of the research is to further characterize and understand dispersion in valley and basin atmospheres. A secondary, and related goal, is to identify and understand the dominant physical processes governing this dispersion. This has been accomplished through a review of the current literature, and analyses of recently collected data from two field experiments. This work should contribute to an improved understanding of material transport in the atmospheric boundary layer. It was found that dispersion in a freely draining valley (Brush Creek valley, CO) atmosphere is much greater than in an enclosed basin (Roanoke, VA) atmosphere primarily because of the greater wind speeds moving past the release point and the greater turbulence levels. The development of a cold air pool in the Roanoke basin is the dominant process governing nighttime dispersion in the basin, while the nighttime dispersion in the Brush Creek valley is dominated by turbulent diffusion and plume confinement between the valley sidewalls. The interaction between valley flows and above ridgetops flows is investigated. A ventilation rate'' of material transport between the valley and above ridgetop flows is determined. This is important in regional air pollution modeling and global climate modeling. A simple model of dispersion in valleys, applicable through a diurnal cycle, is proposed.
Atmospheric dispersion in mountain valleys and basins
Allwine, K.J.
1992-01-01T23:59:59.000Z
The primary goal of the research is to further characterize and understand dispersion in valley and basin atmospheres. A secondary, and related goal, is to identify and understand the dominant physical processes governing this dispersion. This has been accomplished through a review of the current literature, and analyses of recently collected data from two field experiments. This work should contribute to an improved understanding of material transport in the atmospheric boundary layer. It was found that dispersion in a freely draining valley (Brush Creek valley, CO) atmosphere is much greater than in an enclosed basin (Roanoke, VA) atmosphere primarily because of the greater wind speeds moving past the release point and the greater turbulence levels. The development of a cold air pool in the Roanoke basin is the dominant process governing nighttime dispersion in the basin, while the nighttime dispersion in the Brush Creek valley is dominated by turbulent diffusion and plume confinement between the valley sidewalls. The interaction between valley flows and above ridgetops flows is investigated. A ``ventilation rate`` of material transport between the valley and above ridgetop flows is determined. This is important in regional air pollution modeling and global climate modeling. A simple model of dispersion in valleys, applicable through a diurnal cycle, is proposed.
Exploiting Behavior Models for Availability Analysis of Interactive Systems
Cengarle, María Victoria
Exploiting Behavior Models for Availability Analysis of Interactive Systems Maximilian Junker Technische Universit¨at M¨unchen Abstract--We propose an approach for availability analysis that directly are reduced effort as no dedicated availability models need to be created as well as precise results due
Numerical modelling and analysis of a room temperature magnetic
Numerical modelling and analysis of a room temperature magnetic refrigeration system Thomas Frank and analysis of a room temperature magnetic refrigeration system Department: Fuel Cells and Solid State-dimensional mathematical model of an Active Magnetic Regenerator (AMR) system which is used for magnetic refrigeration
Non resonant transmission modelling with Statistical modal Energy distribution Analysis
Boyer, Edmond
be used as an alternative to Statistical Energy Analysis for describing subsystems with low modal overlap1 Non resonant transmission modelling with Statistical modal Energy distribution Analysis L. Maxit Capelle, F-69621 Villeurbanne Cedex, France Statistical modal Energy distribution Analysis (SmEdA) can
Sensitivity Analysis of the Gap Heat Transfer Model in BISON.
Swiler, Laura Painton; Schmidt, Rodney C.; Williamson, Richard (INL); Perez, Danielle (INL)
2014-10-01T23:59:59.000Z
This report summarizes the result of a NEAMS project focused on sensitivity analysis of the heat transfer model in the gap between the fuel rod and the cladding used in the BISON fuel performance code of Idaho National Laboratory. Using the gap heat transfer models in BISON, the sensitivity of the modeling parameters and the associated responses is investigated. The study results in a quantitative assessment of the role of various parameters in the analysis of gap heat transfer in nuclear fuel.
An Analysis of Web File Sizes: New Methods and Models
Wolfe, Patrick J.
An Analysis of Web File Sizes: New Methods and Models A Thesis presented by Brent Tworetzky consider such models and how to improve their fits. This thesis contributes to file size research-improved file size estimations over type-blind models. We therefore present a range of useful new file size
Fuel Cell System Improvement for Model-Based Diagnosis Analysis
Paris-Sud XI, Université de
Fuel Cell System Improvement for Model-Based Diagnosis Analysis Philippe Fiani & Michel Batteux of a model of a fuel cell system, in order to make it usable for model- based diagnosis methods. A fuel cell for the fuel cell stack but also for the system environment. In this paper, we present an adapted library which
Modeling and Analysis of Multi-Hop Control Networks
Alur, Rajeev
Modeling and Analysis of Multi-Hop Control Networks Rajeev Alur1 , Alessandro D'Innocenzo1,2 , Karl on control performance is needed. In this paper, we propose a formal model for analyzing the joint dynamics of the system, we define a switched system that models the dynamics of the composed multi-hop control network
Settlement Prediction, Gas Modeling and Slope Stability Analysis
Politècnica de Catalunya, Universitat
Settlement Prediction, Gas Modeling and Slope Stability Analysis in Coll Cardús Landfill Li Yu using mechanical models Simulation of gas generation, transport and extraction in MSW landfill 1 models Simulation of gas generation, transport and extraction in MSW landfill 1) Analytical solution
Modeling and Analysis of Heterogeneous Regulation in Biological Networks.
Shamir, Ron
Modeling and Analysis of Heterogeneous Regulation in Biological Networks. Irit Gat-Viks Amos Tanay of an integrative approach to the modeling and learning of regulation. In this work we study steady state behavior (metabolites may regulate transcription, enzymes may regulate metabolic reactions). We show how such models can
Spatial Models for Groundwater Behavioral Analysis in Regions of Maharashtra
Sohoni, Milind
Spatial Models for Groundwater Behavioral Analysis in Regions of Maharashtra M.Tech Dissertation on groundwater and classified the years into good year if water levels are above the seasonal model in that year such as land-use, local hydrogeology. #12;Contents 1 Introduction 1 1.1 Spatial Models
ParaText : scalable text modeling and analysis.
Dunlavy, Daniel M.; Stanton, Eric T.; Shead, Timothy M.
2010-06-01T23:59:59.000Z
Automated processing, modeling, and analysis of unstructured text (news documents, web content, journal articles, etc.) is a key task in many data analysis and decision making applications. As data sizes grow, scalability is essential for deep analysis. In many cases, documents are modeled as term or feature vectors and latent semantic analysis (LSA) is used to model latent, or hidden, relationships between documents and terms appearing in those documents. LSA supplies conceptual organization and analysis of document collections by modeling high-dimension feature vectors in many fewer dimensions. While past work on the scalability of LSA modeling has focused on the SVD, the goal of our work is to investigate the use of distributed memory architectures for the entire text analysis process, from data ingestion to semantic modeling and analysis. ParaText is a set of software components for distributed processing, modeling, and analysis of unstructured text. The ParaText source code is available under a BSD license, as an integral part of the Titan toolkit. ParaText components are chained-together into data-parallel pipelines that are replicated across processes on distributed-memory architectures. Individual components can be replaced or rewired to explore different computational strategies and implement new functionality. ParaText functionality can be embedded in applications on any platform using the native C++ API, Python, or Java. The ParaText MPI Process provides a 'generic' text analysis pipeline in a command-line executable that can be used for many serial and parallel analysis tasks. ParaText can also be deployed as a web service accessible via a RESTful (HTTP) API. In the web service configuration, any client can access the functionality provided by ParaText using commodity protocols ... from standard web browsers to custom clients written in any language.
Solar Advisor Model; Session: Modeling and Analysis (Presentation)
Blair, N.
2008-04-01T23:59:59.000Z
This project supports the Solar America Initiative by: (1) providing a consistent framework for analyzing and comparing power system costs and performance across the range of solar technologies and markets, PV, solar heat systems, CSP, residential, commercial and utility markets; (2) developing and validating performance models to enable accurate calculation of levelized cost of energy (LCOE); (3) providing a consistent modeling platform for all TPP's; and (4) supporting implementation and usage of cost models.
CFD Simulations of Joint Urban Atmospheric Dispersion Field Study
Lee, R; Humphreys III, T; Chan, S
2004-06-17T23:59:59.000Z
The application of Computational Fluid Dynamics (CFD) to the understanding of urban wind flow and dispersion processes has gained increasing attention over recent years. While many of the simpler dispersion models are based on a set of prescribed meteorology to calculate dispersion, the CFD approach has the ability of coupling the wind field to dispersion processes. This has distinct advantages when very detailed results are required, such as for the case where the releases occur around buildings and within urban areas. CFD also has great flexibility as a testbed for turbulence models, which has important implications for atmospheric dispersion problems. In the spring of 2003, a series of dispersion field experiments (Joint Urban 2003) were conducted at Oklahoma City (Allwine, et. al, 2004). These experiments were complimentary to the URBAN 2000 field studies at Salt Lake City (Shinn, et. al, 2000) in that they will provide a second set of comprehensive field data for evaluation of CFD as well as for other dispersion models. In contrast to the URBAN 2000 experiments that were conducted entirely at night, these new field studies took place during both daytime and nighttime thus including the possibility of convective as well as stable atmospheric conditions. Initially several CFD modeling studies were performed to provide guidance for the experimental team in the selection of release sites and in the deployment of wind and concentration sensors. Also, while meteorological and concentration measurements were taken over the greater Oklahoma City urban area, our CFD calculations were focused on the near field of the release point. The proximity of the source to a large commercial building and to the neighboring buildings several of which have multistories, present a significant challenge even for CFD calculations involving grid resolutions as fine as 1 meter. A total of 10 Intensive Observations Periods (IOP's) were conducted within the 2003 field experiments. SF6 releases in the form of puffs or continuous sources were disseminated over 6 daytime and 4 nighttime episodes. Many wind and concentration sensors were used to provide wind and SF6 data over both long and short time-averaging periods. In addition to the usual near surface measurements, data depicting vertical profiles of wind and concentrations adjacent to the outside walls of several buildings were also taken. Also of interest were observations of the trajectory of balloons that were deployed close to the tracer release area. Many of the balloons released exhibit extremely quick ascents up from ground level to the top of buildings, thus implying highly convective conditions. In this paper we will present some simulations that were performed during the planning of the field experiments. The calculations were based on two possible release sites at the intersections of Sheridan and Robinson, and Broadway and Sheridan. These results provided initial information on flow and dispersion patterns, which could be used to guide optimal placement of sensors at appropriate locations. We will also discuss results of more recent simulations for several releases in which reliable data is available. These simulations will be compared with the near field data taken from the wind sensors as well as the time-averaged data from the concentration sensors. Among the other topics discussed are initial and boundary conditions used in the simulations, adaptation of building GIS data for CFD modeling and analysis of field data.
Dennis D. Keiser, Jr.; Jan-Fong Jue; Brandon D. Miller; Jian Gan; Adam B. Robinson; Pavel Medvedev; James Madden; Dan Wachs; Mitch Meyer
2014-04-01T23:59:59.000Z
In order to investigate how the microstructure of fuel/matrix-interaction (FMI) layers change during irradiation, different U–7Mo dispersion fuel plates have been irradiated to high fission density and then characterized using scanning electron microscopy (SEM). Specifially, samples from irradiated U–7Mo dispersion fuel elements with pure Al, Al–2Si and AA4043 (~4.5 wt.%Si) matrices were SEM characterized using polished samples and samples that were prepared with a focused ion beam (FIB). Features not observable for the polished samples could be captured in SEM images taken of the FIB samples. For the Al matrix sample, a relatively large FMI layer develops, with enrichment of Xe at the FMI layer/Al matrix interface and evidence of debonding. Overall, a significant penetration of Si from the FMI layer into the U–7Mo fuel was observed for samples with Si in the Al matrix, which resulted in a change of the size (larger) and shape (round) of the fission-gas bubbles. Additionally, solid-fission-product phases were observed to nucleate and grow within these bubbles. These changes in the localized regions of the microstructure of the U–7Mo may contribute to changes observed in the macroscopic swelling of fuel plates with Al–Si matrices.
Health Information Modeling, Simulation, and Analysis: ABMS of HIE Network
Kemner, Ken
Health Information Exchange Modeling, Simulation, and Analysis: ABMS of HIE Network Opportunity.S. healthcare system would provide a secure, nationwide, interoperable health information infrastructure that connects providers, consumers, and others involved in supporting health and healthcare. Effectively
Water Rights Analysis Package (WRAP) Modeling System Reference Manual
Wurbs, R.
2012-10-01T23:59:59.000Z
The Texas Water Resources Institute (TWRI), and many other agencies and organizations, have worked with Ralph Wurbs over the years to develop WRAP (the Water Rights Analysis Package). The WRAP model simulates management of the water resources of a...
Integrating Comprehensive Air Quality Modeling with Policy Analysis
electricity demand. Many of generators are uncontrolled diesel engines which have a high social cost. Adding Electricity Generation Elisabeth Anne Gilmore Submitted in partial fulfillment of the requirements Air Quality Modeling with Policy Analysis: Applications for Distributed Electricity Generation
Scalable analysis of stochastic process algebra models
Tribastone, Mirco
2010-01-01T23:59:59.000Z
The performance modelling of large-scale systems using discrete-state approaches is fundamentally hampered by the well-known problem of state-space explosion, which causes exponential growth of the reachable state space ...
THREE PRESENTATIONS ON GEOGRAPHICAL ANALYSIS AND MODELING
California at Santa Barbara, University of
, including strawberries, wheat, other foodstuffs, and Cadillacs. Given the other inputs I could demonstrate, Christaller, or Hagerstand models on real landscapes. For, say $20, you might purchase "The Los Angeles Region
Water Budget Analysis and Groundwater Inverse Modeling
Farid Marandi, Sayena
2012-07-16T23:59:59.000Z
the hydraulic conductivity field conditioned on the measurements of hydraulic conductivity and hydraulic head for saturated flow in randomly heterogeneous porous media. The groundwater modeling approach was found to be efficient in identifying the dominant...
Modified shielding jet model for twin-jet shielding analysis
Gilbride, Jennifer Frances
1983-01-01T23:59:59.000Z
MODIFIED SHIELDING JET MODEL FOR TWIN-JET SHIELDING ANALYSIS A Thesis by JENNIFER FRANCES GILBRIDE Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE... August 1983 Major Subject: Mechanical Engineering MODIFIED SHIELDING JET MODEL FOR TWIN-JET SHIELDING ANALYSIS A Thesis by JENNIFER FRANCES GILBRIDE Approved as to stvle and content by: 'Carl H. Gerhold (Chairman of Committee) J. Craag Dutton...
Building Information Modeling (BIM)-Based Daylighting Simulation and Analysis
Kota, S.; Haberl, J.S.; Clayton, M.; Yan, W.
2014-01-01T23:59:59.000Z
will be converted into daylighting models to run on the daylighting simulation engines. Once the architect defines the architectural model in CAD, a simulation expert creates the simulation input file to perform daylighting analysis. Each tool has its own way... the Radiance input file is created, different Radiance utilities are called using MS Windows BATCH scripting for doing a daylighting analysis [15]. In addition to AutoCAD, Radiance also has many utility programs that help in converting different geometry...
Global sensitivity analysis of computer models with functional inputs
Boyer, Edmond
-based sensitivity analysis techniques, based on the so-called Sobol's indices, when some input variables computer codes which need a preliminary metamodeling step before performing the sensitivity analysis. We). The "mean model" allows to estimate the sensi- tivity indices of each scalar input variables, while
Sensitivity Analysis for a Pyrotechnically Actuated Pin Puller Model*
chemical reaction producing both condensed phase and gas phase products. The high pressure productsSensitivity Analysis for a Pyrotechnically Actuated Pin Puller Model* Joseph M. Powerst and Keith A 46556-5637 USA Abstract This paper gives an analysis which determines the parametric sensitivity
absorption model analysis: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
absorption model analysis First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Thermochemical Analysis of...
Bayesian models for DNA microarray data analysis
Lee, Kyeong Eun
2005-08-29T23:59:59.000Z
patients with either myeloid leukemia (AML) or acute lymphoblastic leukemia (ALL). Following the experimental setup of the original paper, the data were split into a training set consisting of 38 samples of which 27 are ALL and 11 are AML, and a test set... . . . . . . . . . . . . . . . . . . . . . . . . . 9 2.4. Application of Gene Selection to Hereditary Breast Cancer Data . . . . . . . . . . . . . . . . . . . . . . . . . 12 2.4.1.Sensitivity Analysis . . . . . . . . . . . . . . . . . . 18 2.5. Application to Leukemia Data...
Reservoir analysis model for battlefield operations
Sullivan, Garrett James
1988-01-01T23:59:59.000Z
'age. Tbe concrete gravity dam had eighteen spillway gates thirty-tvo feet in height along the top of the stxucture (Figure 7). The United Nations Copyright (1952) by the Society of Amexican Nilitaxy Engineers. Reprinted by permission from the January... of expert systems for Military Hydrology applications, specifically the reservoir drawdown problem. Finally, a next generation notional concept for the RANBO concept is presented incorporating a wide range of military requirements (dam-break analysis...
MODELING HUMAN RELIABILITY ANALYSIS USING MIDAS
Ronald L. Boring; Donald D. Dudenhoeffer; Bruce P. Hallbert; Brian F. Gore
2006-05-01T23:59:59.000Z
This paper summarizes an emerging collaboration between Idaho National Laboratory and NASA Ames Research Center regarding the utilization of high-fidelity MIDAS simulations for 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 with novel control room equipment and configurations, (ii) the investigative determination of risk significance in recreating past event scenarios involving control room operating crews, and (iii) the certification of novel staffing levels in control rooms. It is proposed that MIDAS serves as a key component for the effective modeling of risk in next generation control rooms.
A critical analysis of the hydrino model
Andreas Rathke
2005-05-20T23:59:59.000Z
Recently, spectroscopic and calorimetric observations of hydrogen plasmas and chemical reactions with them have been interpreted as evidence for the existence of electronic states of the hydrogen atom with a binding energy of more than 13.6 eV. The theoretical basis for such states, that have been dubbed hydrinos, is investigated. We discuss both, the novel deterministic model of the hydrogen atom, in which the existence of hydrinos was predicted, and standard quantum mechanics. Severe inconsistencies in the deterministic model are pointed out and the incompatibility of hydrino states with quantum mechanics is reviewed.
Thermorheological properties of nanostructured dispersions
Gordon, Jeremy B
2007-01-01T23:59:59.000Z
Nanostructured dispersions, which consist of nanometer-sized particles, tubes, sheets, or droplets that are dispersed in liquids, have exhibited substantially higher thermal conductivities over those of the liquids alone. ...
Analysis and Model-Based Control of Servomechanisms With Friction
Papadopoulos, Evangelos
Analysis and Model-Based Control of Servomechanisms With Friction Evangelos G. Papadopoulos e Engineering, National Technical University of Athens, 15780 Athens, Greece Friction is responsible for several, model-based feedback compensation is studied for servomechanism tracking tasks. Several kinetic friction
Enabling online geospatial isotopic model development and analysis
Zhang, Tonglin
Enabling online geospatial isotopic model development and analysis Hyojeong Lee1 , Lan Zhao1 leverages the computation resources available on the TeraGrid to perform geospatial data operations and geostatistical model calculations. It builds on a variety of open source technologies for GIS, geospatial data
Model-Driven Analysis and Synthesis of Textual Concrete Syntax
Paris-Sud XI, UniversitÃ© de
Model-Driven Analysis and Synthesis of Textual Concrete Syntax Pierre-Alain Muller1 , FrÃ©dÃ©ric textual concrete syntaxes with meta-models is still a challenge. Textual concrete syntaxes compilers to generate parsers. Unfortunately, these generated parsers produce concrete syntax trees, leaving
Minisymposium on Validated Methods: Applications to Modeling, Analysis,
Kreinovich, Vladik
in Medicine and Engineering Organizers: Andreas Rauh1 and Ekaterina Auer2 During the last decades, computer of the mathematical model of the considered process. In this minisymposium, we focus on validated methods as a meansMinisymposium on Validated Methods: Applications to Modeling, Analysis, and Design of Systems
Accelerated Degradation Tests: Modeling and Analysis William Q. Meeker
Accelerated Degradation Tests: Modeling and Analysis William Q. Meeker Dept. of Statistics, degradation measures can be taken over time. A relationship between component failure and amount of degradation makes it possible to use degradation models and data to make inferences and predictions about
Hamiltonian control systems From modeling to analysis and control
Knobloch,Jürgen
Hamiltonian control systems From modeling to analysis and control Arjan van der Schaft Johann-based modeling 3 Definition of port-Hamiltonian systems 4 Scattering: from power variables to wave variables 5, University of Groningen, the Netherlands DiHamiltonian control systems Elgersburg School, March, 2012 1 / 108
Full-System Power Analysis and Modeling for Server Environments
Kozyrakis, Christos
Full-System Power Analysis and Modeling for Server Environments Dimitris Economou, Suzanne Rivoire-density computer systems, have created a growing demand for better power management in server environments. Despite consumption trends and developing simple yet accurate models to predict full-system power. We study
Matrix Modeling Methods for Spaceflight Campaign Logistics Analysis
de Weck, Olivier L.
Matrix Modeling Methods for Spaceflight Campaign Logistics Analysis Afreen Siddiqi and Olivier L-based modeling approach for analyzing spaceflight campaign logistics. A campaign is considered to be a series logistics properties. A logistics strategy index is proposed for quantifying manifesting strategies
Analysis of Periodic GrowthDisturbance Models Timothy C. Reluga
Reluga, Tim
model for a fluctuating population. Changes in the disturbance frequency are shown to generate a period-bubbling bifurcation structure and population dynamics that are most variable at intermediate disturbance frequenciesAnalysis of Periodic GrowthDisturbance Models Timothy C. Reluga treluga
Modelling and Simulation for the Analysis of Securities Markets
Watt, Stephen M.
Modelling and Simulation for the Analysis of Securities Markets Rui Hu1,2 , Vadim Mazalov1 recognition algorithms. Our evaluation environment is a mar- ket simulator that uses historical data or live approach to modelling and simulation and how they work together. 1 Introduction Securities markets have
Hydrogen Delivery Scenario Analysis Model (HDSAM)
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 of Blythe SolarContamination Detector Workshop HydrogenScenario Analysis
Nozzle for electric dispersion reactor
Sisson, W.G.; Harris, M.T.; Scott, T.C.; Basaran, O.A.
1996-04-02T23:59:59.000Z
A nozzle for an electric dispersion reactor includes two coaxial cylindrical bodies, the inner one of the two delivering disperse phase fluid into a continuous phase fluid. A potential difference generated by a voltage source creates a dispersing electric field at the end of the inner electrode. 5 figs.
Nozzle for electric dispersion reactor
Sisson, Warren G. (Oak Ridge, TN); Basaran, Osman A. (Oak Ridge, TN); Harris, Michael T. (Knoxville, TN)
1995-01-01T23:59:59.000Z
A nozzle for an electric dispersion reactor includes two concentric electrodes, the inner one of the two delivering disperse phase fluid into a continuous phase fluid. A potential difference generated by a voltage source creates a dispersing electric field at the end of the inner electrode.
Nozzle for electric dispersion reactor
Sisson, Warren G. (Oak Ridge, TN); Harris, Michael T. (Knoxville, TN); Scott, Timothy C. (Knoxville, TN); Basaran, Osman A. (Oak Ridge, TN)
1998-01-01T23:59:59.000Z
A nozzle for an electric dispersion reactor includes two coaxial cylindrical bodies, the inner one of the two delivering disperse phase fluid into a continuous phase fluid. A potential difference generated by a voltage source creates a dispersing electric field at the end of the inner electrode.
Nozzle for electric dispersion reactor
Sisson, Warren G. (Oak Ridge, TN); Basaran, Osman A. (Oak Ridge, TN); Harris, Michael T. (Knoxville, TN)
1998-01-01T23:59:59.000Z
A nozzle for an electric dispersion reactor includes two concentric electrodes, the inner one of the two delivering disperse phase fluid into a continuous phase fluid. A potential difference generated by a voltage source creates a dispersing electric field at the end of the inner electrode.
Nozzle for electric dispersion reactor
Sisson, Warren G. (Oak Ridge, TN); Harris, Michael T. (Knoxville, TN); Scott, Timothy C. (Knoxville, TN); Basaran, Osman A. (Oak Ridge, TN)
1996-01-01T23:59:59.000Z
A nozzle for an electric dispersion reactor includes two coaxial cylindrical bodies, the inner one of the two delivering disperse phase fluid into a continuous phase fluid. A potential difference generated by a voltage source creates a dispersing electric field at the end of the inner electrode.
Nozzle for electric dispersion reactor
Sisson, W.G.; Harris, M.T.; Scott, T.C.; Basaran, O.A.
1998-06-02T23:59:59.000Z
A nozzle for an electric dispersion reactor includes two coaxial cylindrical bodies, the inner one of the two delivering disperse phase fluid into a continuous phase fluid. A potential difference generated by a voltage source creates a dispersing electric field at the end of the inner electrode. 5 figs.
Nozzle for electric dispersion reactor
Sisson, W.G.; Basaran, O.A.; Harris, M.T.
1998-04-14T23:59:59.000Z
A nozzle for an electric dispersion reactor includes two concentric electrodes, the inner one of the two delivering disperse phase fluid into a continuous phase fluid. A potential difference generated by a voltage source creates a dispersing electric field at the end of the inner electrode. 4 figs.
Bayesian models for DNA microarray data analysis
Lee, Kyeong Eun
2005-08-29T23:59:59.000Z
Data in Yeast Data (Spellman et al., 1998) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69 13 Six Clusters of Expression Time Courses by Our Proposed Model in Yeast Data (Spellman et al., 1998) . . . . . . . . . . . . . . . . . . 70... In Table I, we present the strongly significant genes with the largest frequencies. We note that the three leading genes in Table I appear among the six strongest genes in an analogous list in Kim et al. (2002). This has occurred even though the rating...
Systems Analysis Model Simul, 200?, Vol. 00, No. 0, pp. 114 MODELING AND ANALYSIS OF HYSTERESIS IN
PROOFS {GandB}Gsam/GSAM-31049.3d Systems Analysis Model Simul, (GSAM) Paper: GSAM-31049 Keyword ISSN 0232 of energy storage and dissipation in harmonic drives [10,11,1315]. The accurate modeling of a total-9298 print: ISSN 1029-4902 online ß 200? Taylor & Francis Ltd DOI: 10.1080/0232929032000115137 #12;some
Compartmentalization analysis using discrete fracture network models
La Pointe, P.R.; Eiben, T.; Dershowitz, W. [Golder Associates, Redmond, VA (United States); Wadleigh, E. [Marathon Oil Co., Midland, TX (United States)
1997-08-01T23:59:59.000Z
This paper illustrates how Discrete Fracture Network (DFN) technology can serve as a basis for the calculation of reservoir engineering parameters for the development of fractured reservoirs. It describes the development of quantitative techniques for defining the geometry and volume of structurally controlled compartments. These techniques are based on a combination of stochastic geometry, computational geometry, and graph the theory. The parameters addressed are compartment size, matrix block size and tributary drainage volume. The concept of DFN models is explained and methodologies to compute these parameters are demonstrated.
Sandia Energy - PV Modeling & Analysis
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 Sol Home Distribution Grid IntegrationOffshore Wind RD&D:PV Modeling &
Scenario Evaluation and Regionalization Analysis (SERA) Model
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.pdfBreakingMay 2015 <Department ofDepartment| DepartmentScale Models andScenario
The integration of dispersed asylum seekers in Glasgow
Rosenberg, Alexandra
This thesis is an analysis of the integration of dispersed asylum seekers in Glasgow. It is a qualitative case study that uses data from participant observation with community groups, interviews with asylum seekers and those involved in service...
A new tool for accelerator system modeling and analysis
Gillespie, G.H.; Hill, B.W. [G.H. Gillespie Associates, Inc., Del Mar, CA (United States); Jameson, R.A. [Los Alamos National Lab., NM (United States)
1994-09-01T23:59:59.000Z
A novel computer code is being developed to generate system level designs of radiofrequency ion accelerators. The goal of the Accelerator System Model (ASM) code is to create a modeling and analysis tool that is easy to use, automates many of the initial design calculations, supports trade studies used in assessing alternate designs and yet is flexible enough to incorporate new technology concepts as they emerge. Hardware engineering parameters and beam dynamics are modeled at comparable levels of fidelity. Existing scaling models of accelerator subsystems were sued to produce a prototype of ASM (version 1.0) working within the Shell for Particle Accelerator Related Codes (SPARC) graphical user interface. A small user group has been testing and evaluating the prototype for about a year. Several enhancements and improvements are now being developed. The current version (1.1) of ASM is briefly described and an example of the modeling and analysis capabilities is illustrated.
Modeling and analysis of energy conversion systems
Den Braven, K.R. (Idaho Univ., Moscow, ID (USA). Dept. of Mechanical Engineering); Stanger, S. (EG and G Idaho, Inc., Idaho Falls, ID (USA))
1990-10-01T23:59:59.000Z
An investigation was conducted to assess the need for and the feasibility of developing a computer code that could model thermodynamic systems and predict the performance of energy conversion systems. To assess the market need for this code, representatives of a few industrial organizations were contacted, including manufacturers, system and component designers, and research personnel. Researchers and small manufacturers, designers, and installers were very interested in the possibility of using the proposed code. However, large companies were satisfied with the existing codes that they have developed for their own use. Also, a survey was conduced of available codes that could be used or possibly modified for the desired purpose. The codes were evaluated with respect to a list of desirable features, which was prepared as a result of the survey. A few publicly available codes were found that might be suitable. The development, verification, and maintenance of such a code would require a substantial, ongoing effort. 21 refs.
Non-Darcian forced convection in porous media with anisotropic dispersion
Adnani, P.; Catton, I.; Abdou, M.A. [Univ. of California, Los Angeles, CA (United States)
1995-05-01T23:59:59.000Z
Convective heat transfer in a particle packed tube is modeled in this paper. Axial and radial dispersion are both included in the governing equations. Results are compared with experimental data, and with previously developed models that did not include axial dispersion. It is shown that heat transfer in the thermally developing region is affected by axial dispersion when Peclet number is smaller than 10. Graphic results are provided to show the importance of axial dispersion for various Peclet numbers. 17 refs., 5 figs.
Simulation of miscible displacement in soils and sensitivity to the dispersion coefficient
Smajstrla, Allen George
1973-01-01T23:59:59.000Z
in the porous media to the magnitude of the dispersion coefficient in the diffusion-type dispersion equation. Three simulation models were developed. One was capable of simulating unsaturated vertical infiltration of water into a homo- geneous, isotropic... porous media. The second simulated saturated dispersion of solutes during the steady state flow of water through homogeneous, isotropic porous media. The third general dispersion simulation model combined the aforementioned two and was capable...
Building Information Modeling (BIM)-Based Daylighting Simulation and Analysis
Kota, S.; Haberl, J.S.; Clayton, M.; Yan, W.
tools Radiance and DAYSIM. Keywords: Building Information Modeling, BIM, Daylighting Simulation, Radiance, DAYSIM 1 Introduction Building performance analyses are important aspects of designing sustainable buildings. One of the performance analyses...) with daylighting analysis tools (Radiance and DAYSIM as sample simulation tools, which are widely used to study the daylighting performance of buildings). 2 Literature review 2.1 Daylighting simulation tools Over the years many analysis tools have been...
Sensitivity analysis of the fission gas behavior model in BISON.
Swiler, Laura Painton; Pastore, Giovanni [Idaho National Laboratory, Idaho Fall, ID; Perez, Danielle [Idaho National Laboratory, Idaho Fall, ID; Williamson, Richard [Idaho National Laboratory, Idaho Fall, ID
2013-05-01T23:59:59.000Z
This report summarizes the result of a NEAMS project focused on sensitivity analysis of a new model for the fission gas behavior (release and swelling) in the BISON fuel performance code of Idaho National Laboratory. Using the new model in BISON, the sensitivity of the calculated fission gas release and swelling to the involved parameters and the associated uncertainties is investigated. The study results in a quantitative assessment of the role of intrinsic uncertainties in the analysis of fission gas behavior in nuclear fuel.
Finite element modeling of SHTE and PSVTM electroseismics
Fabio I. Zyserman
2010-10-07T23:59:59.000Z
algorithm to model diffusive electric fields induced by SH waves;. Garambois and Dietrich (2002) ... Santos and Sheen (2007); and the corresponding dispersion analysis was presented in ...... in fluid-saturated sediments. J. Geophys. Res. 111
Chen, J-S.; Drake, R.; Lin, Z.; Jewett, D. G.
2002-02-26T23:59:59.000Z
Five vadose zone models with different degrees of complexity (CHAIN, MULTIMED{_}DP, FECTUZ, HYDRUS, and CHAIN 2D) were selected for use in radionuclide soil screening level (SSL) calculations. A benchmarking analysis between the models was conducted for a radionuclide ({sup 99}Tc) release scenario at the Las Cruces Trench Site in New Mexico. Sensitivity of three model outputs to the input parameters were evaluated and compared among the models. The three outputs were peak contaminant concentrations, time to peak concentrations at the water table, and time to exceed the contaminants maximum critical level at a representative receptor well. Model parameters investigated include soil properties such as bulk density, water content, soil water retention parameters and hydraulic conductivity. Chemical properties examined include distribution coefficient, radionuclide half-life, dispersion coefficient, and molecular diffusion. Other soil characteristics, such as recharge rate, also were examined. Model sensitivity was quantified in the form of sensitivity and relative sensitivity coefficients. Relative sensitivities were used to compare the sensitivities of different parameters. The analysis indicates that soil water content, recharge rate, saturated soil water content, and soil retention parameter, {beta}, have a great influence on model outputs. In general, the results of sensitivities and relative sensitivities using five models are similar for a specific scenario. Slight differences were observed in predicted peak contaminant concentrations due to different mathematical treatment among models. The results of benchmarking and sensitivity analysis would facilitate the model selection and application of the model in SSL calculations.
Uncertainty and sensitivity analysis for photovoltaic system modeling.
Hansen, Clifford W.; Pohl, Andrew Phillip; Jordan, Dirk [National Center for Photovoltaics, National Renewable Energy Laboratory, Golden, CO] [National Center for Photovoltaics, National Renewable Energy Laboratory, Golden, CO
2013-12-01T23:59:59.000Z
We report an uncertainty and sensitivity analysis for modeling DC energy from photovoltaic systems. We consider two systems, each comprised of a single module using either crystalline silicon or CdTe cells, and located either at Albuquerque, NM, or Golden, CO. Output from a PV system is predicted by a sequence of models. Uncertainty in the output of each model is quantified by empirical distributions of each model's residuals. We sample these distributions to propagate uncertainty through the sequence of models to obtain an empirical distribution for each PV system's output. We considered models that: (1) translate measured global horizontal, direct and global diffuse irradiance to plane-of-array irradiance; (2) estimate effective irradiance from plane-of-array irradiance; (3) predict cell temperature; and (4) estimate DC voltage, current and power. We found that the uncertainty in PV system output to be relatively small, on the order of 1% for daily energy. Four alternative models were considered for the POA irradiance modeling step; we did not find the choice of one of these models to be of great significance. However, we observed that the POA irradiance model introduced a bias of upwards of 5% of daily energy which translates directly to a systematic difference in predicted energy. Sensitivity analyses relate uncertainty in the PV system output to uncertainty arising from each model. We found that the residuals arising from the POA irradiance and the effective irradiance models to be the dominant contributors to residuals for daily energy, for either technology or location considered. This analysis indicates that efforts to reduce the uncertainty in PV system output should focus on improvements to the POA and effective irradiance models.
Hagni, A.M.; Hagni, R.D. (Univ. of Missouri, Rolla, MO (United States). Dept. of Geology and Geophysics)
1993-03-01T23:59:59.000Z
Over 500,000 tons of electric arc furnace (EAF) dust is generated each year in the US. The mineralogy and characterization of this dust is being studied to determine the phases and relationships of the valuable zinc, the hazardous lead, cadmium, and chromium, and the deleterious chlorine and fluorine. EAF dust averages 15--20% zinc and is therefore a potential source for 100,000 tons of zinc per year. The major mineralogical phases of EAF dust are franklinite (ZnFe[sub 2]O[sub 4]), magnetite (FeFe[sub 2]O[sub 4]), jacobsite (MnFe[sub 2]O[sub 4]), solid solutions between franklinite-magnetite-jacobsite, and zincite (ZnO). Franklinite, magnetite, and jacobsite solid solutions commonly are cruciform or dendritic crystals in a Ca-Fe-Si matrix and contain up to 5% chromium. Magnetite also occurs as spheres partially oxidized to hematite (Fe[sub 2]O[sub 3]) along its octahedral planes. The dust particles are predominantly in the form of spheres and broken spheres, ranging in size from 200 [mu]m to less than 1 [mu]m. Although many spheres are in the size ranges of 40--50 [mu]m and 10--20 [mu]m, most are less than 1 [mu]m in diameter. Automated scanning electron microscopy-energy dispersive spectroscopy (SEM-EDS) probed 118 particles in search of chlorine phases. Chlorine-bearing lime (CaO) was identified by that SEM study. In addition, chlorine is present as hydrophylite (CaCl[sub 2]) and sylvite (KCl). Auger electron spectroscopy (AES) was used to sputter the outer 180[angstrom] layer of the dust particles to search for the possible presence of cotunnite (PbCl[sub 2]) coatings, but none were detected. Minor phases detected include chalcopyrite (CuFeS[sub 2]), sphalerite (ZnS), pyrite (FeS[sub 2]), and coke.
Fuel Cell Power Model for CHP and CHHP Economics and Performance Analysis (Presentation)
Steward, D.; Penev, M.
2010-03-30T23:59:59.000Z
This presentation describes the fuel cell power model for CHP and CHHP economics and performance analysis.
Atmospheric Dispersion Lecture Atmospheric Local-Scale Dispersion Modelling.
heterogeneous temperature and pressure fields. Local heat flux depends on the position of the point to the sun-resting global circulation of air masses is the unequal distribution of solar heat flux to the earth surface). The temperature depends on the heat transfer and capacity characteristics of the surface (sea, soil, desert
MASTERS REPORT ANALYSIS AND MODELING OF ACID NEUTRALIZING CAPACITY
itself against acidification and is used to monitor the effect of acid rain on watersheds. From 1993MASTERS REPORT ANALYSIS AND MODELING OF ACID NEUTRALIZING CAPACITY IN THE MID-ATLANTIC HIGHLANDS UNIVERSITY #12;ABSTRACT Acid Neutralizing Capacity (ANC) is a measure of a solution's ability to buffer
Model-Based Dependability Analysis of Programmable Drug Infusion Pumps
Sankaranarayanan, Sriram
Model-Based Dependability Analysis of Programmable Drug Infusion Pumps Sriram Sankaranarayanan.lastname@colorado.edu Abstract. Infusion pumps are commonly used in home/hospital care to inject drugs into a patient a case-study involving an infusion pump used to manage pain through the infusion of analgesic drugs
Model-based experimental analysis for inter-polymer process
Grossmann, Ignacio E.
) + Polyethylene (PE) ARCEL TOUGH FLEXIBLE Advanced packaging material Interpenetrating polymer network productModel-based experimental analysis for inter-polymer process CMU: Weijie Lin, Lorenz T. Biegler processed in a sequential way Polymer A Polymer B Project overview Inter-polymer process #12;Project
Stochastic Modeling and Performance Analysis of Multimedia SoCs
Paris-Sud XI, Université de
Stochastic Modeling and Performance Analysis of Multimedia SoCs Balaji Raman1, Ayoub Nouri1, Deepak.raman@imag.fr Abstract--Quality of video and audio output is a design-time constraint for portable multimedia devices-case due to high variability in a multimedia system. In future mobile devices, the playout buffer size
Stochastic Modeling and Analysis of Plant Microtubule System Characteristics
Eren, Ezgi
2012-07-16T23:59:59.000Z
problem. Overall, we build a comprehensive framework for analysis and control of microtubule organization in plant cells using a wide range of models and methodologies in conjunction. This research also has broader impacts related to the fields of bio-energy...
Analysis of Time Series Using Compact Model-Based Descriptions
Kriegel, Hans-Peter
Analysis of Time Series Using Compact Model-Based Descriptions Hans-Peter Kriegel, Peer Kr this is a combination of the coefficients 1, . . . , 3 representing the three input time series using a function f-of-the-art compression methods. The results are visually presented in a very concise way so that the user can easily
Accelerated Degradation Tests: Modeling and Analysis William Q. Meeker
Accelerated Degradation Tests: Modeling and Analysis William Q. Meeker Dept. of Statistics reliability with traditional life tests that record only failure times. For some components, degradation measures can be taken over time. A relationship between component failure and amount of degradation makes
Dynamical Analysis of the Fitzhugh-Nagumo Model
Beer, Randall D.
Dynamical Analysis of the Fitzhugh-Nagumo Model #12;IU/COGS-Q580/Beer This isYour Brain #12;IU/COGS-Q580/Beer Action Potentials Tateno, T., Harsch, A. and Robinson, H.P.C. (2004). Threshold Firing. Neurophysiology 92:2283-2294. #12;IU/COGS-Q580/Beer The Ionic Basis of the Action Potential Delcomyn, F. (1998
Department of Numerical Analysis Modeling the Austenite Ferrite
Vuik, Kees
Department of Numerical Analysis Modeling the Austenite Ferrite Transformation by Cellular Ferrite Transformation by Cellular Automaton Improving Interface Stability Master of Science Thesis. Computational Materials Science 48.3 (2010): 692-699] for the austenite to ferrite transformation in low
Mathematical Modeling and Analysis The Arbitrary-Lagrangian-
Kurien, Susan
of the fluid, (ii) preserve positivity of density and specific internal energy, (iii) satisfy the maximumMathematical Modeling and Analysis The Arbitrary-Lagrangian- Eulerian Code for 1D Compressible- zone phase in which a new grid is defined, and a remapping (conservative interpolation) phase in which
NONE
1997-05-01T23:59:59.000Z
Contents: Introduction; Technical Description of ISC-COMPDEP; Modeling Input Parameters; Discussion of Modeling Results; Summary and Major Assumptions; and References.
VAM2D: Variably saturated analysis model in two dimensions
Huyakorn, P.S.; Kool, J.B.; Wu, Y.S. (HydroGeoLogic, Inc., Herndon, VA (United States))
1991-10-01T23:59:59.000Z
This report documents a two-dimensional finite element model, VAM2D, developed to simulate water flow and solute transport in variably saturated porous media. Both flow and transport simulation can be handled concurrently or sequentially. The formulation of the governing equations and the numerical procedures used in the code are presented. The flow equation is approximated using the Galerkin finite element method. Nonlinear soil moisture characteristics and atmospheric boundary conditions (e.g., infiltration, evaporation and seepage face), are treated using Picard and Newton-Raphson iterations. Hysteresis effects and anisotropy in the unsaturated hydraulic conductivity can be taken into account if needed. The contaminant transport simulation can account for advection, hydrodynamic dispersion, linear equilibrium sorption, and first-order degradation. Transport of a single component or a multi-component decay chain can be handled. The transport equation is approximated using an upstream weighted residual method. Several test problems are presented to verify the code and demonstrate its utility. These problems range from simple one-dimensional to complex two-dimensional and axisymmetric problems. This document has been produced as a user's manual. It contains detailed information on the code structure along with instructions for input data preparation and sample input and printed output for selected test problems. Also included are instructions for job set up and restarting procedures. 44 refs., 54 figs., 24 tabs.
Blair, N.; Jenkin, T.; Milford, J.; Short, W.; Sullivan, P.; Evans, D.; Lieberman, E.; Goldstein, G.; Wright, E.; Jayaraman, K. R.; Venkatesh, B.; Kleiman, G.; Namovicz, C.; Smith, B.; Palmer, K.; Wiser, R.; Wood, F.
2009-09-01T23:59:59.000Z
Energy system modeling can be intentionally or unintentionally misused by decision-makers. This report describes how both can be minimized through careful use of models and thorough understanding of their underlying approaches and assumptions. The analysis summarized here assesses the impact that model and data choices have on forecasting energy systems by comparing seven different electric-sector models. This analysis was coordinated by the Renewable Energy and Efficiency Modeling Analysis Partnership (REMAP), a collaboration among governmental, academic, and nongovernmental participants.
Analysis of a chaotic spiking neural model: The NDS neuron
Mohammad Alhawarat; Waleed Nazih; Mohammad Eldesouki
2014-08-16T23:59:59.000Z
Further analysis and experimentation is carried out in this paper for a chaotic dynamic model, viz. the Nonlinear Dynamic State neuron (NDS). The analysis and experimentations are performed to further understand the underlying dynamics of the model and enhance it as well. Chaos provides many interesting properties that can be exploited to achieve computational tasks. Such properties are sensitivity to initial conditions, space filling, control and synchronization.Chaos might play an important role in information processing tasks in human brain as suggested by biologists. If artificial neural networks (ANNs) is equipped with chaos then it will enrich the dynamic behaviours of such networks. The NDS model has some limitations and can be overcome in different ways. In this paper different approaches are followed to push the boundaries of the NDS model in order to enhance it. One way is to study the effects of scaling the parameters of the chaotic equations of the NDS model and study the resulted dynamics. Another way is to study the method that is used in discretization of the original R\\"{o}ssler that the NDS model is based on. These approaches have revealed some facts about the NDS attractor and suggest why such a model can be stabilized to large number of unstable periodic orbits (UPOs) which might correspond to memories in phase space.
RELIABILITY OF WIND POWER FROM DISPERSED SITES: A PRELIMINARY ASSESSMENT
Kahn, E.
2011-01-01T23:59:59.000Z
PG&E 4:00 p.m. Summer Wind Generator Model Wind Array ELCCexpect from an array of wind generators spread over a largean array of dispersed wind generators will be. wind speed
annular dispersed flow: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
model for overland solute transport Texas A&M University - TxSpace Summary: Using the kinematic-wave overland flow equation and a fractional dispersion-advection equation, a...
advective dispersive formulation: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
model for overland solute transport Texas A&M University - TxSpace Summary: Using the kinematic-wave overland flow equation and a fractional dispersion-advection equation, a...
accentuates transmural dispersion: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
model for overland solute transport Texas A&M University - TxSpace Summary: Using the kinematic-wave overland flow equation and a fractional dispersion-advection equation, a...
Computation of seismic attenuation and dispersion due to ...
masson@localhost.localdomain (masson)
2006-07-08T23:59:59.000Z
Jun 23, 2006 ... used to model the poroelastic response within such materials are those of Biot ... for the seismic attenuation and dispersion in the special case where the ..... lens embedded in shaly sediments or a fracture embedded in a ...
Infiltration modeling guidelines for commercial building energy analysis
Gowri, Krishnan; Winiarski, David W.; Jarnagin, Ronald E.
2009-09-30T23:59:59.000Z
This report presents a methodology for modeling air infiltration in EnergyPlus to account for envelope air barrier characteristics. Based on a review of various infiltration modeling options available in EnergyPlus and sensitivity analysis, the linear wind velocity coefficient based on DOE-2 infiltration model is recommended. The methodology described in this report can be used to calculate the EnergyPlus infiltration input for any given building level infiltration rate specified at known pressure difference. The sensitivity analysis shows that EnergyPlus calculates the wind speed based on zone altitude, and the linear wind velocity coefficient represents the variation in infiltration heat loss consistent with building location and weather data.
A Linear Circuit Model For Social Influence Analysis
Xiang, Biao; Liu, Qi; Xiong, Hui
2012-01-01T23:59:59.000Z
Understanding the behaviors of information propagation is essential for the effective exploitation of social influence in social networks. However, few existing influence models are both tractable and efficient for describing the information propagation process and quantitatively measuring social influence. To this end, in this paper, we develop a linear social influence model, named Circuit due to its close relation to the circuit network. Based on the predefined four axioms of social influence, we first demonstrate that our model can efficiently measure the influence strength between any pair of nodes. Along this line, an upper bound of the node(s)' influence is identified for potential use, e.g., reducing the search space. Furthermore, we provide the physical implication of the Circuit model and also a deep analysis of its relationships with the existing methods, such as PageRank. Then, we propose that the Circuit model provides a natural solution to the problems of computing each single node's authority a...
Nonlinear Analysis 91 (2013) 119 Contents lists available at SciVerse ScienceDirect
Yorke, James
2013-01-01T23:59:59.000Z
challenges. Fluidparticle interaction is of great significance in sedimentation analysis of disperse a c t This article deals with a fluidparticle interaction model for the evolution of particles dispersed in a fluid. The fluid flow is governed by the NavierStokes equations for a compressible fluid
INTEGRATION OF FACILITY MODELING CAPABILITIES FOR NUCLEAR NONPROLIFERATION ANALYSIS
Gorensek, M.; Hamm, L.; Garcia, H.; Burr, T.; Coles, G.; Edmunds, T.; Garrett, A.; Krebs, J.; Kress, R.; Lamberti, V.; Schoenwald, D.; Tzanos, C.; Ward, R.
2011-07-18T23:59:59.000Z
Developing automated methods for data collection and analysis that can facilitate nuclear nonproliferation assessment is an important research area with significant consequences for the effective global deployment of nuclear energy. Facility modeling that can integrate and interpret observations collected from monitored facilities in order to ascertain their functional details will be a critical element of these methods. Although improvements are continually sought, existing facility modeling tools can characterize all aspects of reactor operations and the majority of nuclear fuel cycle processing steps, and include algorithms for data processing and interpretation. Assessing nonproliferation status is challenging because observations can come from many sources, including local and remote sensors that monitor facility operations, as well as open sources that provide specific business information about the monitored facilities, and can be of many different types. Although many current facility models are capable of analyzing large amounts of information, they have not been integrated in an analyst-friendly manner. This paper addresses some of these facility modeling capabilities and illustrates how they could be integrated and utilized for nonproliferation analysis. The inverse problem of inferring facility conditions based on collected observations is described, along with a proposed architecture and computer framework for utilizing facility modeling tools. After considering a representative sampling of key facility modeling capabilities, the proposed integration framework is illustrated with several examples.
Peer Review of NRC Standardized Plant Analysis Risk Models
Anthony Koonce; James Knudsen; Robert Buell
2011-03-01T23:59:59.000Z
The Nuclear Regulatory Commission (NRC) Standardized Plant Analysis Risk (SPAR) Models underwent a Peer Review using ASME PRA standard (Addendum C) as endorsed by NRC in Regulatory Guide (RG) 1.200. The review was performed by a mix of industry probabilistic risk analysis (PRA) experts and NRC PRA experts. Representative SPAR models, one PWR and one BWR, were reviewed against Capability Category I of the ASME PRA standard. Capability Category I was selected as the basis for review due to the specific uses/applications of the SPAR models. The BWR SPAR model was reviewed against 331 ASME PRA Standard Supporting Requirements; however, based on the Capability Category I level of review and the absence of internal flooding and containment performance (LERF) logic only 216 requirements were determined to be applicable. Based on the review, the BWR SPAR model met 139 of the 216 supporting requirements. The review also generated 200 findings or suggestions. Of these 200 findings and suggestions 142 were findings and 58 were suggestions. The PWR SPAR model was also evaluated against the same 331 ASME PRA Standard Supporting Requirements. Of these requirements only 215 were deemed appropriate for the review (for the same reason as noted for the BWR). The PWR review determined that 125 of the 215 supporting requirements met Capability Category I or greater. The review identified 101 findings or suggestions (76 findings and 25 suggestions). These findings or suggestions were developed to identify areas where SPAR models could be enhanced. A process to prioritize and incorporate the findings/suggestions supporting requirements into the SPAR models is being developed. The prioritization process focuses on those findings that will enhance the accuracy, completeness and usability of the SPAR models.
Radiolysis Model Sensitivity Analysis for a Used Fuel Storage Canister
Wittman, Richard S.
2013-09-20T23:59:59.000Z
This report fulfills the M3 milestone (M3FT-13PN0810027) to report on a radiolysis computer model analysis that estimates the generation of radiolytic products for a storage canister. The analysis considers radiolysis outside storage canister walls and within the canister fill gas over a possible 300-year lifetime. Previous work relied on estimates based directly on a water radiolysis G-value. This work also includes that effect with the addition of coupled kinetics for 111 reactions for 40 gas species to account for radiolytic-induced chemistry, which includes water recombination and reactions with air.
Nonrigid Motion Analysis Based on Dynamic Refinement of Finite Element Models
Sarkar, Sudeep
Nonrigid Motion Analysis Based on Dynamic Refinement of Finite Element Models Leonid V. Tsap finite element models. The method is based on the iterative analysis of the differences betweenÃPhysically-based vision, deformable models, nonrigid motion analysis, biomedical applications, finite element analysis. Ã¦
Fermion dispersion in axion medium
N. V. Mikheev; E. N. Narynskaya
2008-12-02T23:59:59.000Z
The interaction of a fermion with the dense axion medium is investigated for the purpose of finding an axion medium effect on the fermion dispersion. It is shown that axion medium influence on the fermion dispersion under astrophysical conditions is negligible small if the correct Lagrangian of the axion-fermion interaction is used.
Lentz, Martin [Technische Universität Berlin, Institute of Material Science and Technologies - Metallic Materials; Clausen, Bjorn [Los Alamos National Laboratory; Reimers, Walter [Technische Universität Berlin, Institute of Material Science and Technologies - Metallic Materials
2012-08-06T23:59:59.000Z
EPSC-Model is able to predict the complex deformation behavior of Mg-RE and Mg-Li alloys within a wide range of strains. Modification of the texture by RE-elements and the addition of Li increases the activity of slip systems at low strains - Reorientation due to twinning is stretch over a larger range of plastic deformation. Deformation at high strains is realized mainly by the basal and the
C. Harrington
2004-10-25T23:59:59.000Z
The purpose of this model report is to provide documentation of the conceptual and mathematical model (Ashplume) for atmospheric dispersal and subsequent deposition of ash on the land surface from a potential volcanic eruption at Yucca Mountain, Nevada. This report also documents the ash (tephra) redistribution conceptual model. These aspects of volcanism-related dose calculation are described in the context of the entire igneous disruptive events conceptual model in ''Characterize Framework for Igneous Activity'' (BSC 2004 [DIRS 169989], Section 6.1.1). The Ashplume conceptual model accounts for incorporation and entrainment of waste fuel particles associated with a hypothetical volcanic eruption through the Yucca Mountain repository and downwind transport of contaminated tephra. The Ashplume mathematical model describes the conceptual model in mathematical terms to allow for prediction of radioactive waste/ash deposition on the ground surface given that the hypothetical eruptive event occurs. This model report also describes the conceptual model for tephra redistribution from a basaltic cinder cone. Sensitivity analyses and model validation activities for the ash dispersal and redistribution models are also presented. Analyses documented in this model report update the previous documentation of the Ashplume mathematical model and its application to the Total System Performance Assessment (TSPA) for the License Application (TSPA-LA) igneous scenarios. This model report also documents the redistribution model product outputs based on analyses to support the conceptual model. In this report, ''Ashplume'' is used when referring to the atmospheric dispersal model and ''ASHPLUME'' is used when referencing the code of that model. Two analysis and model reports provide direct inputs to this model report, namely ''Characterize Eruptive Processes at Yucca Mountain, Nevada and Number of Waste Packages Hit by Igneous Intrusion''. This model report provides direct inputs to the TSPA, which uses the ASHPLUME software described and used in this model report. Thus, ASHPLUME software inputs are inputs to this model report for ASHPLUME runs in this model report. However, ASHPLUME software inputs are outputs of this model report for ASHPLUME runs by TSPA.
SENSITIVITY ANALYSIS OF A TPB DEGRADATION RATE MODEL
Crawford, C; Tommy Edwards, T; Bill Wilmarth, B
2006-08-01T23:59:59.000Z
A tetraphenylborate (TPB) degradation model for use in aggregating Tank 48 material in Tank 50 is developed in this report. The influential factors for this model are listed as the headings in the table below. A sensitivity study of the predictions of the model over intervals of values for the influential factors affecting the model was conducted. These intervals bound the levels of these factors expected during Tank 50 aggregations. The results from the sensitivity analysis were used to identify settings for the influential factors that yielded the largest predicted TPB degradation rate. Thus, these factor settings are considered as those that yield the ''worst-case'' scenario for TPB degradation rate for Tank 50 aggregation, and, as such they would define the test conditions that should be studied in a waste qualification program whose dual purpose would be the investigation of the introduction of Tank 48 material for aggregation in Tank 50 and the bounding of TPB degradation rates for such aggregations.
Critique of Burnett-Frind dispersion tensor for axisymmetric porous media
Lichtner, Peter C [Los Alamos National Laboratory; Kelkar, Sharad [Los Alamos National Laboratory; Robinson, Bruce A [Los Alamos National Laboratory
2008-01-01T23:59:59.000Z
This technical note provides a critique of the Burnett and Frind (1987) dispersion tensor for porous media with axial symmetry based on a previous publication by the authors (Lichtner et aI., 2002). In this work a new approach is used based on unit eigenvectors which simplifies the analysis. It is demonstrated that the Burnett-Frind dispersion tensor, although acceptable for small values of the vertical velocity, produces the incorrect behavior for both longitudinal and transverse dispersivity as the flow velocity varies from parallel to perpendicular to the axis of symmetry. A new form of the dispersion tensor is derived for axially symmetric porous media involving four dispersivity coefficients corresponding to longitudinal and transverse dispersion in horizontal and vertical directions, defined as perpendicular and parallel to the axis of symmetry, respectively. This new dispersion tensor corrects two fundamental problems with the dispersion tensor proposed by Burnett and Frind (1987) for axial symmetric media.
Benchmarking analysis of three multimedia models: RESRAD, MMSOILS, and MEPAS
Cheng, J.J.; Faillace, E.R.; Gnanapragasam, E.K. [and others
1995-11-01T23:59:59.000Z
Multimedia modelers from the United States Environmental Protection Agency (EPA) and the United States Department of Energy (DOE) collaborated to conduct a comprehensive and quantitative benchmarking analysis of three multimedia models. The three models-RESRAD (DOE), MMSOILS (EPA), and MEPAS (DOE)-represent analytically based tools that are used by the respective agencies for performing human exposure and health risk assessments. The study is performed by individuals who participate directly in the ongoing design, development, and application of the models. A list of physical/chemical/biological processes related to multimedia-based exposure and risk assessment is first presented as a basis for comparing the overall capabilities of RESRAD, MMSOILS, and MEPAS. Model design, formulation, and function are then examined by applying the models to a series of hypothetical problems. Major components of the models (e.g., atmospheric, surface water, groundwater) are evaluated separately and then studied as part of an integrated system for the assessment of a multimedia release scenario to determine effects due to linking components of the models. Seven modeling scenarios are used in the conduct of this benchmarking study: (1) direct biosphere exposure, (2) direct release to the air, (3) direct release to the vadose zone, (4) direct release to the saturated zone, (5) direct release to surface water, (6) surface water hydrology, and (7) multimedia release. Study results show that the models differ with respect to (1) environmental processes included (i.e., model features) and (2) the mathematical formulation and assumptions related to the implementation of solutions (i.e., parameterization).
Energy conserving Anisotropic Anhysteretic Magnetic Modelling for Finite Element Analysis
Jens Krause
2012-12-20T23:59:59.000Z
To model ferromagnetic material in finite element analysis a correct description of the constitutive relationship (BH-law) must be found from measured data. This article proposes to use the energy density function as a centrepiece. Using this function, which turns out to be a convex function of the flux density, guarantees energy conservative modelling. The magnetic field strength can be seen as a derivative with respect to the flux density. Especially for anisotropic materials (from lamination and/or grain orientation) this method has advantages. Strictly speaking this method is only valid for anhysteretic and thermodynamically stable material.
Dispersive Qubit Measurement by Interferometry with Parametric Amplifiers
Sh. Barzanjeh; D. P. DiVincenzo; B. M. Terhal
2014-10-02T23:59:59.000Z
We perform a detailed analysis of how an amplified interferometer can be used to enhance the quality of a dispersive qubit measurement, such as one performed on a superconducting transmon qubit, using homodyne detection on an amplified microwave signal. Our modeling makes a realistic assessment of what is possible in current circuit-QED experiments; in particular, we take into account the frequency-dependence of the qubit-induced phase shift for short microwaves pulses. We compare the possible signal-to-noise ratios obtainable with (single-mode) SU(1,1) interferometers with the current coherent measurement and find a considerable reduction in measurement error probability in an experimentally-accessible range of parameters.
Hanbury-Brown--Twiss analysis in a solvable model
Bertsch, G.F.; Danielewicz, P.; Herrmann, M. (Institute for Nuclear Theory, HN-12, University of Washington, Seattle, Washington 98195 (United States) Physics Department, FM-15, University of Washington, Seattle, Washington 98195 (United States) Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University, East Lansing, Michigan 48824 (United States))
1994-01-01T23:59:59.000Z
The analysis of meson correlations by Hanbury-Brown--Twiss interferometry is tested with a simple model of meson production by resonance decay. We derive conditions which should be satisfied in order to relate the measured momentum correlation to the classical source size. The Bose correlation effects are apparent in both the ratio of meson pairs to singles and in the ratio of like to unlike pairs. With our parameter values, we find that the single particle distribution is too distorted by the correlation to allow a straightforward analysis using pair correlation normalized by the singles rates. An analysis comparing symmetrized to unsymmetrized pairs is more robust, but nonclassical off-shell effects are important at realistic temperatures.
NREL's System Advisor Model Simplifies Complex Energy Analysis (Fact Sheet)
Not Available
2015-01-01T23:59:59.000Z
NREL has developed a tool -- the System Advisor Model (SAM) -- that can help decision makers analyze cost, performance, and financing of any size grid-connected solar, wind, or geothermal power project. Manufacturers, engineering and consulting firms, research and development firms, utilities, developers, venture capital firms, and international organizations use SAM for end-to-end analysis that helps determine whether and how to make investments in renewable energy projects.
Evaluation of machining dispersions for turning process
Arnaud Lefebvre; Valery Wolff
2008-03-03T23:59:59.000Z
In this article we propose to extend the model of simulation of dispersions in turning based on the geometrical specifications. Our study is articulated around two trends of development: the first trend relates to the geometrical model. The geometrical model suggested must allow a follow-up of the geometry of the part during the simulation of machining. It is thus a question of carrying out a systematic treatment of the whole dimensioning and tolerancing process while being based on the principles of the \\DeltaL method. We also planned to integrate this type of specification in the model of simulation of machining suggested. It is more generally a question of extending the traditional model for better taking into account the multi axis specification of coaxiality and perpendicularity on the turned workpieces. The second trend of our study relates to the widening of the field of application of the model. We propose to extend the field of application of the model by taking into account the modifications of several parameters of the manufacturing process plans, likely to involve variations of dispersions.
Validation Analysis of the Shoal Groundwater Flow and Transport Model
A. Hassan; J. Chapman
2008-11-01T23:59:59.000Z
Environmental restoration at the Shoal underground nuclear test is following a process prescribed by a Federal Facility Agreement and Consent Order (FFACO) between the U.S. Department of Energy, the U.S. Department of Defense, and the State of Nevada. Characterization of the site included two stages of well drilling and testing in 1996 and 1999, and development and revision of numerical models of groundwater flow and radionuclide transport. Agreement on a contaminant boundary for the site and a corrective action plan was reached in 2006. Later that same year, three wells were installed for the purposes of model validation and site monitoring. The FFACO prescribes a five-year proof-of-concept period for demonstrating that the site groundwater model is capable of producing meaningful results with an acceptable level of uncertainty. The corrective action plan specifies a rigorous seven step validation process. The accepted groundwater model is evaluated using that process in light of the newly acquired data. The conceptual model of ground water flow for the Project Shoal Area considers groundwater flow through the fractured granite aquifer comprising the Sand Springs Range. Water enters the system by the infiltration of precipitation directly on the surface of the mountain range. Groundwater leaves the granite aquifer by flowing into alluvial deposits in the adjacent basins of Fourmile Flat and Fairview Valley. A groundwater divide is interpreted as coinciding with the western portion of the Sand Springs Range, west of the underground nuclear test, preventing flow from the test into Fourmile Flat. A very low conductivity shear zone east of the nuclear test roughly parallels the divide. The presence of these lateral boundaries, coupled with a regional discharge area to the northeast, is interpreted in the model as causing groundwater from the site to flow in a northeastward direction into Fairview Valley. Steady-state flow conditions are assumed given the absence of groundwater withdrawal activities in the area. The conceptual and numerical models were developed based upon regional hydrogeologic investigations conducted in the 1960s, site characterization investigations (including ten wells and various geophysical and geologic studies) at Shoal itself prior to and immediately after the test, and two site characterization campaigns in the 1990s for environmental restoration purposes (including eight wells and a year-long tracer test). The new wells are denoted MV-1, MV-2, and MV-3, and are located to the northnortheast of the nuclear test. The groundwater model was generally lacking data in the north-northeastern area; only HC-1 and the abandoned PM-2 wells existed in this area. The wells provide data on fracture orientation and frequency, water levels, hydraulic conductivity, and water chemistry for comparison with the groundwater model. A total of 12 real-number validation targets were available for the validation analysis, including five values of hydraulic head, three hydraulic conductivity measurements, three hydraulic gradient values, and one angle value for the lateral gradient in radians. In addition, the fracture dip and orientation data provide comparisons to the distributions used in the model and radiochemistry is available for comparison to model output. Goodness-of-fit analysis indicates that some of the model realizations correspond well with the newly acquired conductivity, head, and gradient data, while others do not. Other tests indicated that additional model realizations may be needed to test if the model input distributions need refinement to improve model performance. This approach (generating additional realizations) was not followed because it was realized that there was a temporal component to the data disconnect: the new head measurements are on the high side of the model distributions, but the heads at the original calibration locations themselves have also increased over time. This indicates that the steady-state assumption of the groundwater model is in error. To test the robustness of the model d
Velocity Dispersions Across Bulge Types
Fabricius, Maximilian; Bender, Ralf; Hopp, Ulrich [University Observatory of the Ludwig-Maximilians University (LMU) (Germany); Max-Planck Institute for Extraterrestrial Physics (MPE) (Germany); Saglia, Roberto; Drory, Niv [Max-Planck Institute for Extraterrestrial Physics (MPE) (Germany); Fisher, David [Department of Astronomy, University of Texas at Austin (United States)
2010-06-08T23:59:59.000Z
We present first results from a long-slit spectroscopic survey of bulge kinematics in local spiral galaxies. Our optical spectra were obtained at the Hobby-Eberly Telescope with the LRS spectrograph and have a velocity resolution of 45 km/s (sigma*), which allows us to resolve the velocity dispersions in the bulge regions of most objects in our sample. We find that the velocity dispersion profiles in morphological classical bulge galaxies are always centrally peaked while the velocity dispersion of morphologically disk-like bulges stays relatively flat towards the center--once strongly barred galaxies are discarded.
THE EFFECT OF TRANSVERSE MIXING ON TRACER DISPERSION
Stanford University
Hardware Data Acquisition And Analysis Software Experimental Procedure Analysis Procedure Results: Taylor. The theoretical response for linear Taylor dispersion was matched to the data to determine the non-linear Of Tracer Valve Constant-pressure Reservoir Design Schematic Drawing Of Electrode Circuit Results: Run 16
de Weck, Olivier L.
System Modeling, Analysis, and Optimization Methodology for Diesel Exhaust After;System Modeling, Analysis, and Optimization Methodology for Diesel Exhaust After-treatment Technologies Developing new aftertreatment technologies to meet emission regulations for diesel engines is a growing
Advanced Combustion/Modeling and Analysis Toward HCCI/PCCI in...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
CombustionModeling and Analysis Toward HCCIPCCI in a 60% Efficient Free-Piston Engine Advanced CombustionModeling and Analysis Toward HCCIPCCI in a 60% Efficient Free-Piston...
Critical Updates to the Hydrogen Analysis Production Model (H2A...
Broader source: Energy.gov (indexed) [DOE]
Fuel Cell Technologies Program webinar, "Critical Updates to the Hydrogen Analysis Production Model (H2A v3)." Critical Updates to the Hydrogen Analysis Production Model (H2A v3)...
MODELING AND ANALYSIS OF CHEMILUMINESCENCE SENSING FOR SYNGAS, METHANE AND JET-A COMBUSTION
Seitzman, Jerry M.
MODELING AND ANALYSIS OF CHEMILUMINESCENCE SENSING FOR SYNGAS, METHANE AND JET-A COMBUSTION of Technology August 2008 #12;MODELING AND ANALYSIS OF CHEMILUMINESCENCE SENSING FOR SYNGAS, METHANE AND JET
Model Independent Analysis of Beam Centroid Dynamics in Accelerators
Wang, Chun-xi
2003-04-21T23:59:59.000Z
Fundamental issues in Beam-Position-Monitor (BPM)-based beam dynamics observations are studied in this dissertation. The major topic is the Model-Independent Analysis (MIA) of beam centroid dynamics. Conventional beam dynamics analysis requires a certain machine model, which itself of ten needs to be refined by beam measurements. Instead of using any particular machine model, MIA relies on a statistical analysis of the vast amount of BPM data that often can be collected non-invasively during normal machine operation. There are two major parts in MIA. One is noise reduction and degrees-of-freedom analysis using a singular value decomposition of a BPM-data matrix, which constitutes a principal component analysis of BPM data. The other is a physical base decomposition of the BPM-data matrix based on the time structure of pulse-by-pulse beam and/or machine parameters. The combination of these two methods allows one to break the resolution limit set by individual BPMs and observe beam dynamics at more accurate levels. A physical base decomposition is particularly useful for understanding various beam dynamics issues. MIA improves observation and analysis of beam dynamics and thus leads to better understanding and control of beams in both linacs and rings. The statistical nature of MIA makes it potentially useful in other fields. Another important topic discussed in this dissertation is the measurement of a nonlinear Poincare section (one-turn) map in circular accelerators. The beam dynamics in a ring is intrinsically nonlinear. In fact, nonlinearities are a major factor that limits stability and influences the dynamics of halos. The Poincare section map plays a basic role in characterizing and analyzing such a periodic nonlinear system. Although many kinds of nonlinear beam dynamics experiments have been conducted, no direct measurement of a nonlinear map has been reported for a ring in normal operation mode. This dissertation analyzes various issues concerning map measurements and shows that it is possible to measure the Poincare section map (in terms of Taylor series) of a circular accelerator to a surprisingly high order and accuracy based on present BPM technology. MIA can overcome the inherent limit of BPM resolution. Nonlinear map measurements will advance understanding of the beam dynamics of a ring.
Heterogeneous Catalysis on Atomically Dispersed Supported Metals...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Catalysis on Atomically Dispersed Supported Metals: CO2 Reduction on Multifunctional Pd Catalysts. Heterogeneous Catalysis on Atomically Dispersed Supported Metals: CO2 Reduction...
Asphaltene dispersants as demulsification aids
Manek, M.B.
1995-11-01T23:59:59.000Z
Destabilization of petroleum asphaltenes may cause a multitude of problems in crude oil recovery and production. One major problem is their agglomeration at the water-oil interface of crude oil emulsions. Once agglomeration occurs, destabilized asphaltenes can form a thick pad in the dehydration equipment, which significantly reduces the demulsification rate. Certain polymeric dispersants increase asphaltene solubilization in hydrocarbon media, and when used in conjunction with emulsion breakers, facilitate the demulsification process. Two case studies are presented that demonstrate how asphaltene dispersants can efficiently inhibit pad formation and help reduce demulsifier dosage. Criteria for dispersant application and selection are discussed, which include the application of a novel laboratory technique to assess asphaltene stabilization in the crude oil. The technique monitors asphaltene agglomeration while undergoing titration with an incompatible solvent (precipitant). The method was used to evaluate stabilization of asphaltenes in the crude oil and to screen asphaltene dispersants.
Neutrino dispersion in magnetized plasma
N. V. Mikheev; E. N. Narynskaya
2008-12-02T23:59:59.000Z
The neutrino dispersion in the charge symmetric magnetized plasma is investigated. We have studied the plasma contribution into the additional energy of neutrino and obtained the simple expression for it. We consider in detail the neutrino self-energy under physical conditions of weak field, moderate field and strong field limits. It is shown that our result for neutrino dispersion in moderate magnetic field differ substantially from the previous one in the literature.
Design Considerations, Modeling and Analysis for the Multispectral Thermal Imager
Borel, C.C.; Clodius, W.B.; Cooke, B.J.; Smith, B.W.; Weber, P.G.
1999-02-01T23:59:59.000Z
The design of remote sensing systems is driven by the need to provide cost-effective, substantive answers to questions posed by our customers. This is especially important for space-based systems, which tend to be expensive, and which generally cannot be changed after they are launched. We report here on the approach we employed in developing the desired attributes of a satellite mission, namely the Multispectral Thermal Imager. After an initial scoping study, we applied a procedure which we call: "End-to-end modeling and analysis (EEM)." We began with target attributes, translated to observable signatures and then propagated the signatures through the atmosphere to the sensor location. We modeled the sensor attributes to yield a simulated data stream, which was then analyzed to retrieve information about the original target. The retrieved signature was then compared to the original to obtain a figure of merit: hence the term "end-to-end modeling and analysis." We base the EEM in physics to ensure high fidelity and to permit scaling. As the actual design of the payload evolves, and as real hardware is tested, we can update the EEM to facilitate trade studies, and to judge, for example, whether components that deviate from specifications are acceptable.
TTP 289A Syllabus: Energy Modeling for Policy Analysis TTP 289A-002
California at Davis, University of
TTP 289A Syllabus: Energy Modeling for Policy Analysis 1 TTP 289A-002 (CRN81927) Energy Modeling for Policy Analysis Quarter: Winter 2014 When: T/Th: 2:10-4 pm for policy analysis. We will explore several facets of energy systems modeling including supply and demand
Atmospheric dispersion estimates in the vicinity of buildings
Ramsdell, J.V. Jr.; Fosmire, C.J.
1995-01-01T23:59:59.000Z
A model describing atmospheric dispersion in the vicinity of buildings was developed for the U.S. Nuclear Regulatory Commission (NRC) in the late 1980s. That model has recently undergone additional peer review. The reviewers identified four areas of concern related to the model and its application. This report describes revisions to the model in response to the reviewers concerns. Model revision involved incorporation of explicit treatment of enhanced dispersion at low wind speeds in addition to explicit treatment of enhanced dispersion at high speeds resulting from building wakes. Model parameters are evaluated from turbulence data. Experimental diffusion data from seven reactor sites are used for model evaluation. Compared with models recommended in current NRC guidance to licensees, the revised model is less biased and shows more predictive skill. The revised model is also compared with two non-Gaussian models developed to estimate maximum concentrations in building wakes. The revised model concentration predictions are nearly the same as the predictions of the non-Gaussian models. On the basis of these comparisons of the revised model concentration predictions with experimental data and the predictions of other models, the revised model is found to be an appropriate model for estimating concentrations in the vicinity of buildings.
Model Analysis ToolKit (MATK), Version 0
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'. William Hirst Hirst Enterprises, Inc.AnalysisModel
Motility of a Model Bristle-Bot: a Theoretical Analysis
Giancarlo Cicconofri; Antonio DeSimone
2014-10-22T23:59:59.000Z
Bristle-bots are legged robots that can be easily made out of a toothbrush head and a small vibrating engine. Despite their simple appearance, the mechanism enabling them to propel themselves by exploiting friction with the substrate is far from trivial. Numerical experiments on a model bristle-bot have been able to reproduce such a mechanism revealing, in addition, the ability to switch direction of motion by varying the vibration frequency. This paper provides a detailed account of these phenomena through a fully analytical treatment of the model. The equations of motion are solved through an expansion in terms of a properly chosen small parameter. The convergence of the expansion is rigorously proven. In addition, the analysis delivers formulas for the average velocity of the robot and for the frequency at which the direction switch takes place. A quantitative description of the mechanism for the friction modulation underlying the motility of the bristle-bot is also provided.
Economics of selected WECS dispersed applications
Krawiec, S.
1980-02-01T23:59:59.000Z
An economic analysis for distributed Wind Energy Conversion Systems (WECS) was conducted for the Department of Energy (DOE) as part of the Solar Commercial Readiness Assessment task at the Solar Energy Research Institute (SERI). The major objective of the study is to analyze: the cost of electricity generated by selected wind energy systems in residential and agricultural applications; the breakeven cost of wind systems able to compete economically with conventional power sources in dispersed applications; and the impact of major economic factors on the cost performance index.
Ductility Enhancement of Molybdenum Phase by Nano-sizedd Oxide Dispersions
Bruce Kang
2008-07-31T23:59:59.000Z
The present research is focused on ductility enhancement of molybdenum (Mo) alloys by adding nano-sized oxide particles to the alloy system. The research approach includes: (1) determination of microscopic mechanisms responsible for the macroscopic ductility enhancement effects through atomistic modeling of the metal-ceramic interface; (2) subsequent computer simulation-aided optimization of composition and nanoparticle size of the dispersion for improved performance; (3) synthesis and characterization of nanoparticle dispersion following the guidance from atomistic computational modeling analyses (e.g., by processing a small sample of Mo alloy for evaluation); and (4) experimental testing of the mechanical properties to determine optimal ductility enhancement.Through atomistic modeling and electronic structure analysis using full-potential linearized muffin-tin orbital (FP-LMTO) techniques, research to date has been performed on a number of selected chromium (Cr) systems containing nitrogen (N) and/or magnesium oxide (MgO) impurities. The emphasis has been on determining the properties of the valence electrons and the characteristics of the chemical bonds they formed. It was found that the brittle/ductile behavior of this transitional metal system is controlled by the relative population of valence charges: bonds formed by s valence electrons yield metallic, ductile behavior, whereas bonds formed by d valence electrons lead to covalent, brittle behavior. The presence of valence bands from impurities also affects the metal bonding, thereby explaining the detrimental and beneficial effects induced by the inclusion of N impurities and MgO dispersions. These understandings are useful for optimizing ductility enhancement effects on the dispersion materials.
Short-range atmospheric dispersion of carbon dioxide
Cortis, A.; Oldenburg, C.M.
2009-11-01T23:59:59.000Z
We present a numerical study aimed at quantifying the effects of concentration-dependent density on the spread of a seeping plume of CO{sub 2} into the atmosphere such as could arise from a leaking geologic carbon sequestration site. Results of numerical models can be used to supplement field monitoring estimates of CO{sub 2} seepage flux by modelling transport and dispersion between the source emission and concentration-measurement points. We focus on modelling CO{sub 2} seepage dispersion over relatively short distances where density effects are likely to be important. We model dense gas dispersion using the steady-state Reynolds-averaged Navier-Stokes equations with density dependence in the gravity term. Results for a two-dimensional system show that a density dependence emerges at higher fluxes than prior estimates. A universal scaling relation is derived that allows estimation of the flux from concentrations measured downwind and vice versa.
Stochastic Modeling and Analysis of Custom Integrated Circuits
Gong, Fang
2012-01-01T23:59:59.000Z
3 Fast Failure Analysis of Memory Circuits in HighIS) . . . . . . . . . . . . . . . . . . Failure Analysis ofSRAM parametric failure analysis. ” In Proc. ACM/IEEE Design
Parallel and Statistical Analysis and Modeling of Nanometer VLSI Systems
Liu, Xue-Xin
2013-01-01T23:59:59.000Z
for reduced order analysis of linear circuit with multipleWorst case analysis of linear analog circuit performancelinear analog circuits under parameter variations by robust interval analysis.
A Forward Looking Version of the MIT Emissions Prediction and Policy Analysis (EPPA) Model
Babiker, Mustafa M.H.
This paper documents a forward looking multi-regional general equilibrium model developed from the latest version of the recursive-dynamic MIT Emissions Prediction and Policy Analysis (EPPA) model. The model represents ...
Babiker, Mustafa H.M.; Reilly, John M.; Mayer, Monika.; Eckaus, Richard S.; Sue Wing, Ian.; Hyman, Robert C.
The Emissions Prediction and Policy Analysis (EPPA) model is a component of the MIT Integrated Earth Systems Model (IGSM). Here, we provide an overview of the model accessible to a broad audience and present the detailed ...
The MIT Emissions Prediction and Policy Analysis (EPPA) Model: Version 4
Paltsev, Sergey.
The Emissions Prediction and Policy Analysis (EPPA) model is the part of the MIT Integrated Global Systems Model (IGSM) that represents the human systems. EPPA is a recursive-dynamic multi-regional general equilibrium model ...
Carbajo, Juan (Oak Ridge National Laboratory, Oak Ridge, TN); Jeong, Hae-Yong (Korea Atomic Energy Research Institute, Daejeon, Korea); Wigeland, Roald (Idaho National Laboratory, Idaho Falls, ID); Corradini, Michael (University of Wisconsin, Madison, WI); Schmidt, Rodney Cannon; Thomas, Justin (Argonne National Laboratory, Argonne, IL); Wei, Tom (Argonne National Laboratory, Argonne, IL); Sofu, Tanju (Argonne National Laboratory, Argonne, IL); Ludewig, Hans (Brookhaven National Laboratory, Upton, NY); Tobita, Yoshiharu (Japan Atomic Energy Agency, Ibaraki-ken, Japan); Ohshima, Hiroyuki (Japan Atomic Energy Agency, Ibaraki-ken, Japan); Serre, Frederic (Centre d'%C3%94etudes nucl%C3%94eaires de Cadarache %3CU%2B2013%3E CEA, France)
2011-06-01T23:59:59.000Z
This report summarizes the results of an expert-opinion elicitation activity designed to qualitatively assess the status and capabilities of currently available computer codes and models for accident analysis and reactor safety calculations of advanced sodium fast reactors, and identify important gaps. The twelve-member panel consisted of representatives from five U.S. National Laboratories (SNL, ANL, INL, ORNL, and BNL), the University of Wisconsin, the KAERI, the JAEA, and the CEA. The major portion of this elicitation activity occurred during a two-day meeting held on Aug. 10-11, 2010 at Argonne National Laboratory. There were two primary objectives of this work: (1) Identify computer codes currently available for SFR accident analysis and reactor safety calculations; and (2) Assess the status and capability of current US computer codes to adequately model the required accident scenarios and associated phenomena, and identify important gaps. During the review, panel members identified over 60 computer codes that are currently available in the international community to perform different aspects of SFR safety analysis for various event scenarios and accident categories. A brief description of each of these codes together with references (when available) is provided. An adaptation of the Predictive Capability Maturity Model (PCMM) for computational modeling and simulation is described for use in this work. The panel's assessment of the available US codes is presented in the form of nine tables, organized into groups of three for each of three risk categories considered: anticipated operational occurrences (AOOs), design basis accidents (DBA), and beyond design basis accidents (BDBA). A set of summary conclusions are drawn from the results obtained. At the highest level, the panel judged that current US code capabilities are adequate for licensing given reasonable margins, but expressed concern that US code development activities had stagnated and that the experienced user-base and the experimental validation base was decaying away quickly.
Min, Kyoung
2013-07-16T23:59:59.000Z
are studied using a coupled thermo-hydro-mechanical (THM) analysis. The models are used to simulate microscopic and macroscopic fracture behaviors of laboratory-scale uniaxial and triaxial experiments on rock using an elastic/brittle damage model considering...
Weil, K. Scott; Hardy, John S.
2005-01-31T23:59:59.000Z
Recently a new method of ceramic brazing has been developed. Based on a two-phase liquid composed of silver and copper oxide, brazing is conducted directly in air without the need of an inert cover gas or the use of surface reactive fluxes. Because the braze displays excellent wetting characteristics on a number ceramic surfaces, including alumina, various perovskites, zirconia, and ceria, we were interested in investigating whether a metal-reinforced ceramic matrix composite (CMC) could be developed with this material. In the present study, two sets of homogeneously mixed silver/copper oxide/ceria powders were synthesized using a combustion synthesis technique. The powders were compacted and heat treated in air above the liquidus temperature for the chosen Ag-CuO composition. Metallographic analysis indicates that the resulting composite microstructures are extremely uniform with respect to both the size of the metallic reinforcement as well as its spatial distribution within the ceramic matrix. The size, morphology, and spacing of the metal particulate in the densified composite appears to be dependent on the original size and the structure of the starting combustion synthesized powders.
Printed circuit dispersive transmission line
Ikezi, H.; Lin-Liu, Y.R.; DeGrassie, J.S.
1991-08-27T23:59:59.000Z
A printed circuit dispersive transmission line structure is disclosed comprising an insulator, a ground plane formed on one surface of the insulator, a first transmission line formed on a second surface of the insulator, and a second transmission line also formed on the second surface of the insulator and of longer length than the first transmission line and periodically intersecting the first transmission line. In a preferred embodiment, the transmission line structure exhibits highly dispersive characteristics by designing the length of one of the transmission line between two adjacent periodic intersections to be longer than the other. 5 figures.
Dispersion-compensated Fresnel lens
Johnson, K.C.
1992-11-03T23:59:59.000Z
A transmission grating is used to reduce chromatic aberration in a Fresnel lens, wherein the lens chromatic dispersion is offset and substantially canceled by the grating's diffraction-induced dispersion. The grating comprises a Fresnel-type pattern of microscopic facets molded directly into the lens surface. The facets would typically have a profile height of around 4[times]10[sup [minus]5] inch and a profile width of at least 10[sup [minus]3] inch. In its primary intended application, the invention would function to improve the optical performance of a Fresnel lens used to concentrate direct sunlight. 10 figs.
Dispersion-compensated fresnel lens
Johnson, Kenneth C. (1215 Brewster Dr., El Cerrito, CA 94530)
1992-01-01T23:59:59.000Z
A transmission grating is used to reduce chromatic aberration in a Fresnel lens, wherein the lens chromatic dispersion is offset and substantially canceled by the grating's diffraction-induced dispersion. The grating comprises a Fresnel-type pattern of microscopic facets molded directly into the lens surface. The facets would typically have a profile height of around 4.multidot.10.sup.-5 inch and a profile width of at least 10.sup.-3 inch. In its primary intended application, the invention would function to improve the optical performance of a Fresnel lens used to concentrate direct sunlight.
Markov Modeling with Soft Aggregation for Safety and Decision Analysis
COOPER,J. ARLIN
1999-09-01T23:59:59.000Z
The methodology in this report improves on some of the limitations of many conventional safety assessment and decision analysis methods. A top-down mathematical approach is developed for decomposing systems and for expressing imprecise individual metrics as possibilistic or fuzzy numbers. A ''Markov-like'' model is developed that facilitates combining (aggregating) inputs into overall metrics and decision aids, also portraying the inherent uncertainty. A major goal of Markov modeling is to help convey the top-down system perspective. One of the constituent methodologies allows metrics to be weighted according to significance of the attribute and aggregated nonlinearly as to contribution. This aggregation is performed using exponential combination of the metrics, since the accumulating effect of such factors responds less and less to additional factors. This is termed ''soft'' mathematical aggregation. Dependence among the contributing factors is accounted for by incorporating subjective metrics on ''overlap'' of the factors as well as by correspondingly reducing the overall contribution of these combinations to the overall aggregation. Decisions corresponding to the meaningfulness of the results are facilitated in several ways. First, the results are compared to a soft threshold provided by a sigmoid function. Second, information is provided on input ''Importance'' and ''Sensitivity,'' in order to know where to place emphasis on considering new controls that may be necessary. Third, trends in inputs and outputs are tracked in order to obtain significant information% including cyclic information for the decision process. A practical example from the air transportation industry is used to demonstrate application of the methodology. Illustrations are given for developing a structure (along with recommended inputs and weights) for air transportation oversight at three different levels, for developing and using cycle information, for developing Importance and Sensitivity measures for soil aggregation, for developing dependence methodology, for constructing early alert logic, for tracking trends, for relating the Markov model to other (e.g., Reason) models, for developing and demonstrating rudimentary laptop software, and for developing an input/output display methodology.
A Mathematical Programming Model for Optimal Layout Considering Quantitative Risk Analysis
Grossmann, Ignacio E.
A Mathematical Programming Model for Optimal Layout Considering Quantitative Risk Analysis Nancy of plant layout with safety considerations. The model considers a quantitative risk analysis to take safety aims at providing a more elaborate analysis of risk sources by considering a complete quantitative risk
Modeling and analysis of water-hammer in coaxial pipes
Cesana, Pierluigi
2015-01-01T23:59:59.000Z
The fluid-structure interaction is studied for a system composed of two coaxial pipes in an annular geometry, for both homogeneous isotropic metal pipes and fiber-reinforced (anisotropic) pipes. Multiple waves, traveling at different speeds and amplitudes, result when a projectile impacts on the water filling the annular space between the pipes. In the case of carbon fiber-reinforced plastic thin pipes we compute the wavespeeds, the fluid pressure and mechanical strains as functions of the fiber winding angle. This generalizes the single-pipe analysis of J. H. You, and K. Inaba, Fluid-structure interaction in water-filled pipes of anisotropic composite materials, J. Fl. Str. 36 (2013). Comparison with a set of experimental measurements seems to validate our models and predictions.
Integrated dynamic landscape analysis and modeling system (IDLAMS) : installation manual.
Li, Z.; Majerus, K. A.; Sundell, R. C.; Sydelko, P. J.; Vogt, M. C.
1999-02-24T23:59:59.000Z
The Integrated Dynamic Landscape Analysis and Modeling System (IDLAMS) is a prototype, integrated land management technology developed through a joint effort between Argonne National Laboratory (ANL) and the US Army Corps of Engineers Construction Engineering Research Laboratories (USACERL). Dr. Ronald C. Sundell, Ms. Pamela J. Sydelko, and Ms. Kimberly A. Majerus were the principal investigators (PIs) for this project. Dr. Zhian Li was the primary software developer. Dr. Jeffrey M. Keisler, Mr. Christopher M. Klaus, and Mr. Michael C. Vogt developed the decision analysis component of this project. It was developed with funding support from the Strategic Environmental Research and Development Program (SERDP), a land/environmental stewardship research program with participation from the US Department of Defense (DoD), the US Department of Energy (DOE), and the US Environmental Protection Agency (EPA). IDLAMS predicts land conditions (e.g., vegetation, wildlife habitats, and erosion status) by simulating changes in military land ecosystems for given training intensities and land management practices. It can be used by military land managers to help predict the future ecological condition for a given land use based on land management scenarios of various levels of training intensity. It also can be used as a tool to help land managers compare different land management practices and further determine a set of land management activities and prescriptions that best suit the needs of a specific military installation.
Integrated dynamic landscape analysis and modeling system (IDLAMS) : programmer's manual.
Klaus, C. M.; Li, Z.; Majerus, K. A.; Sundell, R. C.; Sydelko, P. J.; Vogt, M. C.
1999-02-24T23:59:59.000Z
The Integrated Dynamic Landscape Analysis and Modeling System (IDLAMS) is a prototype, integrated land management technology developed through a joint effort between Argonne National Laboratory (ANL) and the US Army Corps of Engineers Construction Engineering Research Laboratories (USACERL). Dr. Ronald C. Sundell, Ms. Pamela J. Sydelko, and Ms. Kimberly A. Majerus were the principal investigators (PIs) for this project. Dr. Zhian Li was the primary software developer. Dr. Jeffrey M. Keisler, Mr. Christopher M. Klaus, and Mr. Michael C. Vogt developed the decision analysis component of this project. It was developed with funding support from the Strategic Environmental Research and Development Program (SERDP), a land/environmental stewardship research program with participation from the US Department of Defense (DoD), the US Department of Energy (DOE), and the US Environmental Protection Agency (EPA). IDLAMS predicts land conditions (e.g., vegetation, wildlife habitats, and erosion status) by simulating changes in military land ecosystems for given training intensities and land management practices. It can be used by military land managers to help predict the future ecological condition for a given land use based on land management scenarios of various levels of training intensity. It also can be used as a tool to help land managers compare different land management practices and further determine a set of land management activities and prescriptions that best suit the needs of a specific military installation.
Davis JE, Eddy MJ, Sutton TM, Altomari TJ
2007-03-01T23:59:59.000Z
Solid modeling computer software systems provide for the design of three-dimensional solid models used in the design and analysis of physical components. The current state-of-the-art in solid modeling representation uses a boundary representation format in which geometry and topology are used to form three-dimensional boundaries of the solid. The geometry representation used in these systems is cubic B-spline curves and surfaces--a network of cubic B-spline functions in three-dimensional Cartesian coordinate space. Many Monte Carlo codes, however, use a geometry representation in which geometry units are specified by intersections and unions of half-spaces. This paper describes an algorithm for converting from a boundary representation to a half-space representation.
Dual-use tools and systematics-aware analysis workflows in the ATLAS Run-II analysis model
FARRELL, Steven; The ATLAS collaboration
2015-01-01T23:59:59.000Z
The ATLAS analysis model has been overhauled for the upcoming run of data collection in 2015 at 13 TeV. One key component of this upgrade was the Event Data Model (EDM), which now allows for greater flexibility in the choice of analysis software framework and provides powerful new features that can be exploited by analysis software tools. A second key component of the upgrade is the introduction of a dual-use tool technology, which provides abstract interfaces for analysis software tools to run in either the Athena framework or a ROOT-based framework. The tool interfaces, including a new interface for handling systematic uncertainties, have been standardized for the development of improved analysis workflows and consolidation of high-level analysis tools. This presentation will cover the details of the dual-use tool functionality, the systematics interface, and how these features fit into a centrally supported analysis environment.
Fractional Power-Law Spatial Dispersion in Electrodynamics
Tarasov, Vasily E
2015-01-01T23:59:59.000Z
Electric fields in non-local media with power-law spatial dispersion are discussed. Equations involving a fractional Laplacian in the Riesz form that describe the electric fields in such non-local media are studied. The generalizations of Coulomb's law and Debye's screening for power-law non-local media are characterized. We consider simple models with anomalous behavior of plasma-like media with power-law spatial dispersions. The suggested fractional differential models for these plasma-like media are discussed to describe non-local properties of power-law type.
Formal Modelling and Analysis of Business Information Applications with Fault Tolerant Middleware
Southampton, University of
Formal Modelling and Analysis of Business Information Applications with Fault Tolerant Middleware properties of models of business pro- tocols and expose weaknesses of certain middleware con- figurations is that of gaining the bene- fits of formal modelling and analysis in the development of SOA-based business
Refraction of dispersive shock waves , V.V. Khodorovskii 2
a dispersive counterpart of the classical gas dynamics problem of the interaction of a shock wave investigations, most notably in Bose-Einstein condensates (BECs) (see, e.g., [8, 32, 6]), where these waves problem involves complicated analysis of nonlinear multiphase wavetrains (see e.g. [22] for the Kd
Development of a natural gas systems analysis model (GSAM)
NONE
1999-10-01T23:59:59.000Z
This report provides an overview of the activities to date and schedule for future testing, validation, and authorized enhancements of Natural Gas Systems Analysis Model (GSAM). The goal of this report is to inform DOE managers of progress in model development and to provide a benchmark for ongoing and future research. Section II of the report provides a detailed discussion on the major GSAM development programs performed and completed during the period of performance, July 1, 1998 to September 30, 1999. Key improvements in the new GSAM version are summarized in Section III. Programmer's guides for GSAM main modules were produced to provide detailed descriptions of all major subroutines and main variables of the computer code. General logical flowcharts of the subroutines are also presented in the guides to provide overall picture of interactions between the subroutines. A standard structure of routine explanation is applied in every programmer's guide. The explanation is started with a brief description or main purpose of the routine, lists of input and output files read and created, and lists of invoked/child and calling/parent routines. In some of the guides, interactions between the routine itself and its parent and child routines are presented in the form of graphical flowchart. The explanation is then proceeded with step by step description of computer code in the subroutine where each step delegates a section of related code. Between steps, if a certain section of code needs further explanation, a Note is inserted with relevant explanation.
Biomass Scenario Model, BETO Analysis Platform Peer Review (Presentati...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
pathways Conversion R&D develop commercially viable technologies for converting biomass feedstocks p. 2-49 7. Analysis of effects of industrial learning 8. Analysis of pathway...
Analysis of real-time reservoir monitoring : reservoirs, strategies, & modeling.
Mani, Seethambal S.; van Bloemen Waanders, Bart Gustaaf; Cooper, Scott Patrick; Jakaboski, Blake Elaine; Normann, Randy Allen; Jennings, Jim (University of Texas at Austin, Austin, TX); Gilbert, Bob (University of Texas at Austin, Austin, TX); Lake, Larry W. (University of Texas at Austin, Austin, TX); Weiss, Chester Joseph; Lorenz, John Clay; Elbring, Gregory Jay; Wheeler, Mary Fanett (University of Texas at Austin, Austin, TX); Thomas, Sunil G. (University of Texas at Austin, Austin, TX); Rightley, Michael J.; Rodriguez, Adolfo (University of Texas at Austin, Austin, TX); Klie, Hector (University of Texas at Austin, Austin, TX); Banchs, Rafael (University of Texas at Austin, Austin, TX); Nunez, Emilio J. (University of Texas at Austin, Austin, TX); Jablonowski, Chris (University of Texas at Austin, Austin, TX)
2006-11-01T23:59:59.000Z
The project objective was to detail better ways to assess and exploit intelligent oil and gas field information through improved modeling, sensor technology, and process control to increase ultimate recovery of domestic hydrocarbons. To meet this objective we investigated the use of permanent downhole sensors systems (Smart Wells) whose data is fed real-time into computational reservoir models that are integrated with optimized production control systems. The project utilized a three-pronged approach (1) a value of information analysis to address the economic advantages, (2) reservoir simulation modeling and control optimization to prove the capability, and (3) evaluation of new generation sensor packaging to survive the borehole environment for long periods of time. The Value of Information (VOI) decision tree method was developed and used to assess the economic advantage of using the proposed technology; the VOI demonstrated the increased subsurface resolution through additional sensor data. Our findings show that the VOI studies are a practical means of ascertaining the value associated with a technology, in this case application of sensors to production. The procedure acknowledges the uncertainty in predictions but nevertheless assigns monetary value to the predictions. The best aspect of the procedure is that it builds consensus within interdisciplinary teams The reservoir simulation and modeling aspect of the project was developed to show the capability of exploiting sensor information both for reservoir characterization and to optimize control of the production system. Our findings indicate history matching is improved as more information is added to the objective function, clearly indicating that sensor information can help in reducing the uncertainty associated with reservoir characterization. Additional findings and approaches used are described in detail within the report. The next generation sensors aspect of the project evaluated sensors and packaging survivability issues. Our findings indicate that packaging represents the most significant technical challenge associated with application of sensors in the downhole environment for long periods (5+ years) of time. These issues are described in detail within the report. The impact of successful reservoir monitoring programs and coincident improved reservoir management is measured by the production of additional oil and gas volumes from existing reservoirs, revitalization of nearly depleted reservoirs, possible re-establishment of already abandoned reservoirs, and improved economics for all cases. Smart Well monitoring provides the means to understand how a reservoir process is developing and to provide active reservoir management. At the same time it also provides data for developing high-fidelity simulation models. This work has been a joint effort with Sandia National Laboratories and UT-Austin's Bureau of Economic Geology, Department of Petroleum and Geosystems Engineering, and the Institute of Computational and Engineering Mathematics.
Development of a natural Gas Systems Analysis Model (GSAM)
Godec, M.; Haas, M.; Pepper, W.; Rose, J.
1993-12-31T23:59:59.000Z
Recent dramatic changes in natural gas markets have significant implications for the scope and direction of DOE`s upstream as well as downstream natural gas R&D. Open access transportation changes the way gas is bought and sold. The end of the gas deliverability surplus requires increased reserve development above recent levels. Increased gas demand for power generation and other new uses changes the overall demand picture in terms of volumes, locations and seasonality. DOE`s Natural Gas Strategic Plan requires that its R&D activities be evaluated for their ability to provide adequate supplies of reasonably priced gas. Potential R&D projects are to be evaluated using a full fuel cycle, benefit-cost approach to estimate likely market impact as well as technical success. To assure R&D projects are evaluated on a comparable basis, METC has undertaken the development of a comprehensive natural gas technology evaluation framework. Existing energy systems models lack the level of detail required to estimate the impact of specific upstream natural gas technologies across the known range of geological settings and likely market conditions. Gas Systems Analysis Model (GSAM) research during FY 1993 developed and implemented this comprehensive, consistent natural gas system evaluation framework. Rather than a isolated research activity, however, GSAM represents the integration of many prior and ongoing natural gas research efforts. When complete, it will incorporate the most current resource base description, reservoir modeling, technology characterization and other geologic and engineering aspects developed through recent METC and industry gas R&D programs.
Modeling and Analysis of Natural Gas and Gasoline In A High Compressio...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
and Analysis of Natural Gas and Gasoline In A High Compression Ratio High Efficiency ICRE Modeling and Analysis of Natural Gas and Gasoline In A High Compression Ratio High...
A MultiPhase Power Flow Model for Grid Analysis A. P. Sakis Meliopoulos
A MultiPhase Power Flow Model for µµµµGrid Analysis A. P. Sakis Meliopoulos School of Electrical multiphase power flow analysis method that provides exact solution to the operation of the µGrid under steady
Quantitative Analysis of Variability and Uncertainty in Environmental Data and Models
Frey, H. Christopher
Quantitative Analysis of Variability and Uncertainty in Environmental Data and Models Volume 1 ........................................6 1.3 Is A Probabilistic Analysis Necessary? ................................................................8 1.4 Previous Work in Probabilistic Risk Assessment
Reliability Analysis of Settlement Using an Updated Probabilistic Unified Soil Compression Model
Ambrose, Avery
2012-02-14T23:59:59.000Z
on elastic analysis of soils. To better estimate settlement, a probabilistic estimate that uses a more in depth analysis of the behavior of soil is required. This thesis develops a new probabilistic model for estimating settlement based on a probabilistic...
Fractional power-law spatial dispersion in electrodynamics
Tarasov, Vasily E., E-mail: tarasov@theory.sinp.msu.ru [Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow 119991 (Russian Federation); Departamento de Análisis Matemático, Universidad de La Laguna, 38271 La Laguna, Tenerife (Spain); Trujillo, Juan J., E-mail: jtrujill@ullmat.es [Departamento de Análisis Matemático, Universidad de La Laguna, 38271 La Laguna, Tenerife (Spain)
2013-07-15T23:59:59.000Z
Electric fields in non-local media with power-law spatial dispersion are discussed. Equations involving a fractional Laplacian in the Riesz form that describe the electric fields in such non-local media are studied. The generalizations of Coulomb’s law and Debye’s screening for power-law non-local media are characterized. We consider simple models with anomalous behavior of plasma-like media with power-law spatial dispersions. The suggested fractional differential models for these plasma-like media are discussed to describe non-local properties of power-law type. -- Highlights: •Plasma-like non-local media with power-law spatial dispersion. •Fractional differential equations for electric fields in the media. •The generalizations of Coulomb’s law and Debye’s screening for the media.
Structural Equation Modelling for Causal Analysis Applied to Transport Systems
Schlingloff, Holger
barrier (SBA), fault tree (FTA) and failure mode and effect analysis (FMEA) into one method. Our approach Analysis (FTA), Failure Mode and Effect Analysis (FMEA), Event Tree Analysis (ETA) or Safety Barrier]). The probably most familiar methods FTA and FMEA are widely used in industry due to their intuitive
Webinar: DOE Launches JOBS and Economic Impacts of Fuel Cells (JOBS FC) Analysis Model
Broader source: Energy.gov [DOE]
Video recording and text version of the webinar titled, DOE Launches JOBS and Economic Impacts of Fuel Cells (JOBS FC) Analysis Model, originally presented on May 22, 2012.
Computational modeling and analysis of thermoelectric properties of nanoporous silicon
Li, H.; Yu, Y.; Li, G., E-mail: gli@clemson.edu [Department of Mechanical Engineering, Clemson University, Clemson, South Carolina 29634-0921 (United States)
2014-03-28T23:59:59.000Z
In this paper, thermoelectric properties of nanoporous silicon are modeled and studied by using a computational approach. The computational approach combines a quantum non-equilibrium Green's function (NEGF) coupled with the Poisson equation for electrical transport analysis, a phonon Boltzmann transport equation (BTE) for phonon thermal transport analysis and the Wiedemann-Franz law for calculating the electronic thermal conductivity. By solving the NEGF/Poisson equations self-consistently using a finite difference method, the electrical conductivity ? and Seebeck coefficient S of the material are numerically computed. The BTE is solved by using a finite volume method to obtain the phonon thermal conductivity k{sub p} and the Wiedemann-Franz law is used to obtain the electronic thermal conductivity k{sub e}. The figure of merit of nanoporous silicon is calculated by ZT=S{sup 2}?T/(k{sub p}+k{sub e}). The effects of doping density, porosity, temperature, and nanopore size on thermoelectric properties of nanoporous silicon are investigated. It is confirmed that nanoporous silicon has significantly higher thermoelectric energy conversion efficiency than its nonporous counterpart. Specifically, this study shows that, with a n-type doping density of 10{sup 20}?cm{sup –3}, a porosity of 36% and nanopore size of 3 nm ×?3?nm, the figure of merit ZT can reach 0.32 at 600?K. The results also show that the degradation of electrical conductivity of nanoporous Si due to the inclusion of nanopores is compensated by the large reduction in the phonon thermal conductivity and increase of absolute value of the Seebeck coefficient, resulting in a significantly improved ZT.
Study of Pollutant Dispersion in Urban Environments
Allen, Gabrielle
and Cell (MAC) method for the governing equations, transport of passive scalars like the pollutantStudy of Pollutant Dispersion in Urban Environments Razvan Corneliu Carbunescu Center head: Study of pollutant dispersion in urban environments #12;Abstract Computational simulations can
Dense gas dispersion modeling for aqueous releases
Lara, Armando
1999-01-01T23:59:59.000Z
, and the intention of this work is to have a methodology flexible enough to be applied in very general cases. Wilson, NRTL, and UNIQUAC were also considered. Unlike Wilson's equation, NRTL and UNIQUAC equations are applicable to 25 both vapor-liquid and liquid...-liquid equilibria. While UNIQUAC is mathematically more complex than NRTL, it has four advantages; (1) it has only two adjustable parameters, (2) UNIQUAC's parameters have a smaller dependence on temperature, (3) UNIQUAC's parameters are more widely available, (4...
Modeling velocity dispersion In Gypsy site, Oklahoma
Alsaadan, Sami Ibrahim
2010-01-01T23:59:59.000Z
Discrepancies in interval velocities estimated from vertical well measurements made with different source central frequencies at Gypsy site could be primarily explained in terms of intrinsic attenuation. Four intervals ...
Atmospheric Dispersion Modeling in Safety Analyses; GENII
Office of Environmental Management (EM)
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 1,006 492 742 33 1112011AT&T, Inc.'s ReplyApplication of Training AprilUnion Call to Make America aWorkshop to
A BIOENERGETIC MODEL FOR THE ANALYSIS OF FEEDING AND SURVIVAL POTENTIAL OF WINTER FLOUNDER,
A BIOENERGETIC MODEL FOR THE ANALYSIS OF FEEDING AND SURVIVAL POTENTIAL OF WINTER FLOUNDER A bioenergetic model was developed which simulated effects of temperature, prey density, and larval size
The ICF, Inc. coal and electric utilities model : an analysis and evaluation
Wood, David O.
1981-01-01T23:59:59.000Z
v.1. The Electric Power Research Institute (EPRI) is sponsoring a series of evaluations of important energy policy and electric utility industry models by the MIT Energy Model Analysis Program (EMAP). The subject of this ...
Reddy, T. A.; Claridge, D.; Wu, J.
analysis to identify these models. However, such models tend to suffer from physically unreasonable regression coefficients and instability due to the fact that the predictor variables (i.e., climatic parameters, building internal loads, etc...
On a tensor-based finite element model for the analysis of shell structures
Arciniega Aleman, Roman Augusto
2006-04-12T23:59:59.000Z
In the present study, we propose a computational model for the linear and nonlinear analysis of shell structures. We consider a tensor-based finite element formulation which describes the mathematical shell model in a ...
2013 CEF RUN - PHASE 1 DATA ANALYSIS AND MODEL VALIDATION
Choi, A.
2014-05-08T23:59:59.000Z
Phase 1 of the 2013 Cold cap Evaluation Furnace (CEF) test was completed on June 3, 2013 after a 5-day round-the-clock feeding and pouring operation. The main goal of the test was to characterize the CEF off-gas produced from a nitric-formic acid flowsheet feed and confirm whether the CEF platform is capable of producing scalable off-gas data necessary for the revision of the DWPF melter off-gas flammability model; the revised model will be used to define new safety controls on the key operating parameters for the nitric-glycolic acid flowsheet feeds including total organic carbon (TOC). Whether the CEF off-gas data were scalable for the purpose of predicting the potential flammability of the DWPF melter exhaust was determined by comparing the predicted H{sub 2} and CO concentrations using the current DWPF melter off-gas flammability model to those measured during Phase 1; data were deemed scalable if the calculated fractional conversions of TOC-to-H{sub 2} and TOC-to-CO at varying melter vapor space temperatures were found to trend and further bound the respective measured data with some margin of safety. Being scalable thus means that for a given feed chemistry the instantaneous flow rates of H{sub 2} and CO in the DWPF melter exhaust can be estimated with some degree of conservatism by multiplying those of the respective gases from a pilot-scale melter by the feed rate ratio. This report documents the results of the Phase 1 data analysis and the necessary calculations performed to determine the scalability of the CEF off-gas data. A total of six steady state runs were made during Phase 1 under non-bubbled conditions by varying the CEF vapor space temperature from near 700 to below 300°C, as measured in a thermowell (T{sub tw}). At each steady state temperature, the off-gas composition was monitored continuously for two hours using MS, GC, and FTIR in order to track mainly H{sub 2}, CO, CO{sub 2}, NO{sub x}, and organic gases such as CH{sub 4}. The standard deviation of the average vapor space temperature during each steady state ranged from 2 to 6°C; however, those of the measured off-gas data were much larger due to the inherent cold cap instabilities in the slurry-fed melters. In order to predict the off-gas composition at the sampling location downstream of the film cooler, the measured feed composition was charge-reconciled and input into the DWPF melter off-gas flammability model, which was then run under the conditions for each of the six Phase 1 steady states. In doing so, it was necessary to perform an overall heat/mass balance calculation from the melter to the Off-Gas Condensate Tank (OGCT) in order to estimate the rate of air inleakage as well as the true gas temperature in the CEF vapor space (T{sub gas}) during each steady state by taking into account the effects of thermal radiation on the measured temperature (T{sub tw}). The results of Phase 1 data analysis and subsequent model runs showed that the predicted concentrations of H{sub 2} and CO by the DWPF model correctly trended and further bounded the respective measured data in the CEF off-gas by over predicting the TOC-to-H{sub 2} and TOC-to-CO conversion ratios by a factor of 2 to 5; an exception was the 7X over prediction of the latter at T{sub gas} = 371°C but the impact of CO on the off-gas flammability potential is only minor compared to that of H{sub 2}. More importantly, the seemingly-excessive over prediction of the TOC-to-H{sub 2} conversion by a factor of 4 or higher at T{sub gas} < ~350°C was attributed to the conservative antifoam decomposition scheme added recently to the model and therefore is considered a modeling issue and not a design issue. At T{sub gas} > ~350°C, the predicted TOC-to-H{sub 2} conversions were closer to but still higher than the measured data by a factor of 2, which may be regarded as adequate from the safety margin standpoint. The heat/mass balance calculations also showed that the correlation between T{sub tw} and T{sub gas} in the CEF vapor space was close to that of the ½ scale SGM, whose data were ta
User Defined Data in the New Analysis Model of the BaBar Experiment
De Nardo, G.
2005-04-06T23:59:59.000Z
The BaBar experiment has recently revised its Analysis Model. One of the key ingredient of BaBar new Analysis Model is the support of the capability to add to the Event Store user defined data, which can be the output of complex computations performed at an advanced stage of a physics analysis, and are associated to analysis objects. In order to provide flexibility and extensibility with respect to object types, template generic programming has been adopted. In this way the model is non-intrusive with respect to reconstruction and analysis objects it manages, not requiring changes in their interfaces and implementations. Technological details are hidden as much as possible to the user, providing a simple interface. In this paper we present some of the limitations of the old model and how they are addressed by the new Analysis Model.
None
1996-12-01T23:59:59.000Z
Volume VII of the documentation for the Phase I Data Analysis Task performed in support of the current Regional Flow Model, Transport Model, and Risk Assessment for the Nevada Test Site Underground Test Area Subproject contains the tritium transport model documentation. Because of the size and complexity of the model area, a considerable quantity of data was collected and analyzed in support of the modeling efforts. The data analysis task was consequently broken into eight subtasks, and descriptions of each subtask's activities are contained in one of the eight volumes that comprise the Phase I Data Analysis Documentation.
A MODEL ATMOSPHERE ANALYSIS OF ALPHA AURIGAE A
Fuhrmann, Klaus [Astronomisches Institut, Ruhr-Universitaet Bochum, Universitaetsstrasse 150, D-44780 Bochum (Germany)
2011-11-20T23:59:59.000Z
This work presents the first quantitative composite model atmosphere analysis of Capella, the brightest near-equal-mass spectroscopic binary and principal star of the constellation Auriga. Its high-resolution spectrum leads to a slightly metal-rich object at [Fe/H] = +0.05 {+-} 0.08 dex. In line with its young age and its kinematics, this consistently associates Capella with the Hyades moving group. The measured projected rotational velocities, vsin i{sub Aa} = 3.5 {+-} 0.8 km s{sup -1} and vsin i{sub Ab} = 35.4 {+-} 3.2 km s{sup -1}, both agree with rotational and orbital coplanarity and synchronous orbital rotation for the Aa component. At an orbital period P = 104 d the primary's bound rotation together with the almost zero orbital eccentricity are both key characteristics of this binary and clearly imply that the Aa component must have passed the tip of the giant branch. Whether in that phase Capella also became a mass transfer system remains inconclusive at present, though the high rotational velocity of the less evolved Hertzsprung gap secondary and the very diverse lithium abundances of both its components render this a plausible case.
Dispersion enhanced metal/zeolite catalysts
Sachtler, W.M.H.; Tzou, M.S.; Jiang, H.J.
1987-03-31T23:59:59.000Z
Dispersion stabilized zeolite supported metal catalysts are provided as bimetallic catalyst combinations. The catalyst metal is in a reduced zero valent form while the dispersion stabilizer metal is in an unreduced ionic form. Representative catalysts are prepared from platinum or nickel as the catalyst metal and iron or chromium dispersion stabilizer.
Gravitational dispersion in a torsional wave machine
Rafael de la Madrid; Alejandro Gonzalez; George Irwin
2014-09-01T23:59:59.000Z
We demonstrate that mechanical waves traveling in a torsional, mechanical wave machine exhibit dispersion due to gravity and the discreteness of the medium. We also show that although the dispersion due to discreteness is negligible, the dispersion due to gravity can be easily measured, and can be shown to disappear in a zero-gravity environment.
System and method for detection of dispersed broadband signals
Qian, Shie (Austin, TX); Dunham, Mark E. (Los Alamos, NM)
1999-06-08T23:59:59.000Z
A system and method for detecting the presence of dispersed broadband signals in real time. The present invention utilizes a bank of matched filters for detecting the received dispersed broadband signals. Each matched filter uses a respective robust time template that has been designed to approximate the dispersed broadband signals of interest, and each time template varies across a spectrum of possible dispersed broadband signal time templates. The received dispersed broadband signal x(t) is received by each of the matched filters, and if one or more matches occurs, then the received data is determined to have signal data of interest. This signal data can then be analyzed and/or transmitted to Earth for analysis, as desired. The system and method of the present invention will prove extremely useful in many fields, including satellite communications, plasma physics, and interstellar research. The varying time templates used in the bank of matched filters are determined as follows. The robust time domain template is assumed to take the form w(t)=A(t)cos{2.phi.(t)}. Since the instantaneous frequency f(t) is known to be equal to the derivative of the phase .phi.(t), the trajectory of a joint time-frequency representation of x(t) is used as an approximation of .phi.'(t).
System and method for detection of dispersed broadband signals
Qian, S.; Dunham, M.E.
1999-06-08T23:59:59.000Z
A system and method for detecting the presence of dispersed broadband signals in real time are disclosed. The present invention utilizes a bank of matched filters for detecting the received dispersed broadband signals. Each matched filter uses a respective robust time template that has been designed to approximate the dispersed broadband signals of interest, and each time template varies across a spectrum of possible dispersed broadband signal time templates. The received dispersed broadband signal x(t) is received by each of the matched filters, and if one or more matches occurs, then the received data is determined to have signal data of interest. This signal data can then be analyzed and/or transmitted to Earth for analysis, as desired. The system and method of the present invention will prove extremely useful in many fields, including satellite communications, plasma physics, and interstellar research. The varying time templates used in the bank of matched filters are determined as follows. The robust time domain template is assumed to take the form w(t)=A(t)cos[l brace]2[phi](t)[r brace]. Since the instantaneous frequency f(t) is known to be equal to the derivative of the phase [phi](t), the trajectory of a joint time-frequency representation of x(t) is used as an approximation of [phi][prime](t). 10 figs.
Heavy tailed K distributions imply a fractional advection dispersion equation
Meerschaert, Mark M.
Dispersion Equation (FADE) to model contaminant transport in porous media. This equation characterizes, and Particle Jumps Equations of contaminant transport in porous media are based on assumptions about hydraulic governing groundwater flow (e.g., Freeze and Cherry, 1979): h K v - = (1) where v is average velocity
BIOMECHANICAL ANALYSIS OF TWO SIMPLE DYNAMICAL MODELS FOR THE HUMAN GAIT
Llanos, Diego R.
and expenditure energy for the human body in normal walking models. Both models allow us to adapt a vector the adaptability of the subject to the environment in a reactive way . The high complexity of biomechanical modelsBIOMECHANICAL ANALYSIS OF TWO SIMPLE DYNAMICAL MODELS FOR THE HUMAN GAIT J.Finat1 , F.Montoya2
Skogestad, Sigurd
Sensitivity Analysis of Optimal Operation of an Activated Sludge Process Model for Economic operation conducted on an activated sludge process model based on the test-bed benchmark simulation model no. 1 (BSM1) and the activated sludge model no. 1 (ASM1). The objective is to search for a control
A Quality Based Approach for the Analysis and Design of Business Process Models
Paris-Sud XI, UniversitÃ© de
A Quality Based Approach for the Analysis and Design of Business Process Models Sarah Ayad1 CEDRIC in modeling and improving Business Process (BP) models quality. This problem is of growing interest exploiting domain knowledge. Keywords-component: Business Process Models, Quality metrics, Quality
Free Body Analysis, Beam Mechanics, and Finite Element Modeling of the Mandible of Alligator
Free Body Analysis, Beam Mechanics, and Finite Element Modeling of the Mandible of Alligator arm mechanics, 2D and 3D beam mod- els, and three high-resolution finite element models- pared with the beam models, the Alligator finite element models exhibited less spatial variability
A Pragmatic Business Analysis Model for Telecom Operators
Kwete, Eric Kwete Mwana
2010-05-14T23:59:59.000Z
.................................................................................................................... 36 Expense to Revenue Ratio .................................................................................................................. 36 E/R Calculation... .................................................................................................................................... 39 E/R Implementation Challenges ......................................................................................................... 40 Subscriber Trend Analysis...
Analysis and synthesis of intonation using the tilt model
Taylor, Paul
This paper introduces the Tilt intonational model and describes how this model can be used to automatically analyze and synthesize intonation. In the model, intonation is represented as a linear sequence of events, which ...
The relation between seismic P- and S-wave velocity dispersion in saturated rocks
Mavko, G. [Stanford Univ., CA (United States). Dept. of Geophysics] [Stanford Univ., CA (United States). Dept. of Geophysics; Jizba, D. [CSTJF, Pau (France)] [CSTJF, Pau (France)
1994-01-01T23:59:59.000Z
Seismic velocity dispersion in fluid-saturated rocks appears to be dominated by two mechanisms: the large scale mechanism modeled by Biot, and the local flow or squirt mechanism. The two mechanisms can be distinguished by the ratio of P- to S-wave dispersions, or more conveniently, by the ratio of dynamic bulk to shear compliance dispersions derived from the wave velocities. The authors` formulation suggests that when local flow dominates, the dispersion of the shear compliance will be approximately 4/15 the dispersion of the compressibility. When the Biot mechanism dominates, the constant of proportionality is much smaller. Their examination of ultrasonic velocities from 40 sandstones and granites shows that most, but not all, of the samples were dominated by local flow dispersion, particularly at effective pressures below 40 MPa.
Gavin Hawkley
2014-12-01T23:59:59.000Z
Abstract: Atmospheric dispersion modeling within the near field of a nuclear facility typically applies a building wake correction to the Gaussian plume model, whereby a point source is modeled as a plane source. The plane source results in greater near field dilution and reduces the far field effluent concentration. However, the correction does not account for the concentration profile within the near field. Receptors of interest, such as the maximally exposed individual, may exist within the near field and thus the realm of building wake effects. Furthermore, release parameters and displacement characteristics may be unknown, particularly during upset conditions. Therefore, emphasis is placed upon the need to analyze and estimate an enveloping concentration profile within the near field of a release. This investigation included the analysis of 64 air samples collected over 128 wk. Variables of importance were then derived from the measurement data, and a methodology was developed that allowed for the estimation of Lorentzian-based dispersion coefficients along the lateral axis of the near field recirculation cavity; the development of recirculation cavity boundaries; and conservative evaluation of the associated concentration profile. The results evaluated the effectiveness of the Lorentzian distribution methodology for estimating near field releases and emphasized the need to place air-monitoring stations appropriately for complete concentration characterization. Additionally, the importance of the sampling period and operational conditions were discussed to balance operational feedback and the reporting of public dose.
Application of Gaussian Process Modeling to Analysis of Functional Unreliability
R. Youngblood
2014-06-01T23:59:59.000Z
This paper applies Gaussian Process (GP) modeling to analysis of the functional unreliability of a “passive system.” GPs have been used widely in many ways [1]. The present application uses a GP for emulation of a system simulation code. Such an emulator can be applied in several distinct ways, discussed below. All applications illustrated in this paper have precedents in the literature; the present paper is an application of GP technology to a problem that was originally analyzed [2] using neural networks (NN), and later [3, 4] by a method called “Alternating Conditional Expectations” (ACE). This exercise enables a multifaceted comparison of both the processes and the results. Given knowledge of the range of possible values of key system variables, one could, in principle, quantify functional unreliability by sampling from their joint probability distribution, and performing a system simulation for each sample to determine whether the function succeeded for that particular setting of the variables. Using previously available system simulation codes, such an approach is generally impractical for a plant-scale problem. It has long been recognized, however, that a well-trained code emulator or surrogate could be used in a sampling process to quantify certain performance metrics, even for plant-scale problems. “Response surfaces” were used for this many years ago. But response surfaces are at their best for smoothly varying functions; in regions of parameter space where key system performance metrics may behave in complex ways, or even exhibit discontinuities, response surfaces are not the best available tool. This consideration was one of several that drove the work in [2]. In the present paper, (1) the original quantification of functional unreliability using NN [2], and later ACE [3], is reprised using GP; (2) additional information provided by the GP about uncertainty in the limit surface, generally unavailable in other representations, is discussed; (3) a simple forensic exercise is performed, analogous to the inverse problem of code calibration, but with an accident management spin: given an observation about containment pressure, what can we say about the system variables? References 1. For an introduction to GPs, see (for example) Gaussian Processes for Machine Learning, C. E. Rasmussen and C. K. I. Williams (MIT, 2006). 2. Reliability Quantification of Advanced Reactor Passive Safety Systems, J. J. Vandenkieboom, PhD Thesis (University of Michigan, 1996). 3. Z. Cui, J. C. Lee, J. J. Vandenkieboom, and R. W. Youngblood, “Unreliability Quantification of a Containment Cooling System through ACE and ANN Algorithms,” Trans. Am. Nucl. Soc. 85, 178 (2001). 4. Risk and Safety Analysis of Nuclear Systems, J. C. Lee and N. J. McCormick (Wiley, 2011). See especially §11.2.4.
Modelling and Analysis of Variable Speed Wind Turbines with Induction Generator during Grid
Hansen, René Rydhof
Modelling and Analysis of Variable Speed Wind Turbines with Induction Generator during Grid Fault to the grid connection of wind turbines. The second chapter elucidates recent thinking in the area of grid Risø National Laboratory Vestas Wind Systems A/S #12;#12;I Modelling and Analysis of Variable Speed
Analysis of the Chatter Instability in a Nonlinear Model for Drilling
Campbell, Sue Ann
Analysis of the Chatter Instability in a Nonlinear Model for Drilling Sue Ann Campbell Department stability analysis of a nonlinear model for chatter vibration in a drilling operation. The results build our, drilling, centre manifold reduction 1 #12;INTRODUCTION INTRODUCTION In a metal cutting operation
Evaluating maintenance policies by quantitative modeling and analysis Enrico Zio1,2,*
Boyer, Edmond
Evaluating maintenance policies by quantitative modeling and analysis Enrico Zio1,2,* , Michele concerning the stochastic crack growth of a generic mechanical component subject to fatigue degradation. It is shown that modeling and analysis provide information useful for setting a maintenance policy. 1
Wavelet Analysis for a New Multiresolution Model for Large-Scale Textured Terrains
Illes Balears, Universitat de les
Wavelet Analysis for a New Multiresolution Model for Large-Scale Textured Terrains MarÃa JosÃ© transmission of both geometry and textures of a terrain model. Wavelet Multiresolution Analysis is applied. An innovative texture synthesis process based on Wavelet classification is used in the reconstruction
Numerical analysis of a one-dimensional elastodynamic model of dry friction and unilateral contact
Renard, Yves - Pôle de Mathématiques, Institut National des Sciences Appliquées de Lyon
.e. hyperbolic) model with dry friction. Since we consider a Coulomb friction law with a slip velocity dependentNumerical analysis of a one-dimensional elastodynamic model of dry friction and unilateral contact in the numerical analysis of more elaborated dynamic purely elastic problems with dry friction. Ó 2001 Elsevier
Driver Models For Timing And Noise Analysis Bogdan Tutuianu and Ross Baldick
Baldick, Ross
additional non-linear circuit simulations and gen- erates re-usable models. Introduction: One of the problems analysis are proposed in [19], [10] and [1]. Special circuit modeling techniques to asses global noise and the analysis is reduced to linear cir- cuit simulation. In the case of delay noise, functional noise
Modeling and Grid impedance Variation Analysis of Parallel Connected Grid Connected Inverter
Bak, Claus Leth
Modeling and Grid impedance Variation Analysis of Parallel Connected Grid Connected Inverter based in the same grid interface conditions by means of impedance-based analysis and modeling. Unlike the single grid connected inverter, it is found that multiple parallel connected inverters and grid impedance can
Macro-System Model for Hydrogen Energy Systems Analysis in Transportation: Preprint
Diakov, V.; Ruth, M.; Sa, T. J.; Goldsby, M. E.
2012-06-01T23:59:59.000Z
The Hydrogen Macro System Model (MSM) is a simulation tool that links existing and emerging hydrogen-related models to perform rapid, cross-cutting analysis. It allows analysis of the economics, primary energy-source requirements, and emissions of hydrogen production and delivery pathways.
MODELING AND ANALYSIS OF THE DYNAMICS OF DRY-FRICTION-DAMPED STRUCTURAL SYSTEMS
Paris-Sud XI, Université de
MODELING AND ANALYSIS OF THE DYNAMICS OF DRY-FRICTION-DAMPED STRUCTURAL SYSTEMS by Olivier J . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.2.1 Nonlinear methods for the analysis of friction-damped systems . . . . . . . . . . . . . . . . . . . . . . . . 15 II. HYBRID FREQUENCY-TIME DOMAIN METHODS FOR THE ANALYSIS OF COMPLEX STRUCTURAL SYSTEMS WITH DRY
Modeling and Analysis of Safety-Critical Cyber Physical Systems using State/Event Fault Trees
Paris-Sud XI, Université de
. Keywords: reliability modeling, risk analysis, attack trees, fault tree, State/Event Fault Tree 1 to their ability to capture qualitative and quantitative analysis aspects they can be seen as state of the art and it is not possible to do a quantitative analysis of them in case of statistical depend basic events. In [6] Kaiser et
Lin, Liwei
Introduction to Finite Element Modeling Engineering analysis of mechanical systems have been of the FEM (don't misuse the FEM - a numerical tool) Finite Element Analysis A typical finite element quantities (e.g., strains and stresses) at selected elements Basic Theory The way finite element analysis
Probabilistic finite element analysis of a craniofacial finite element model Michael A. Berthaume a s t r a c t We employed a probabilistic finite element analysis (FEA) method to determine how 2011 Accepted 18 January 2012 Available online 27 January 2012 Keywords: Probabilistic analysis Finite
A network-based modeling framework for stakeholder analysis of China's energy conservation campaign
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
A Revised Shear-Lag Analysis of an Energy Model for Fiber-Matrix Debonding
Nairn, John A.
A Revised Shear-Lag Analysis of an Energy Model for Fiber-Matrix Debonding John A. Nairn and H-lag analysis based on energy is used to predict the amount of debonding that occurs when a fiber fragment since Ref. [1]. First, some general tools for energy analysis of fragmentation specimens have been
The concentration-velocity dispersion relation in galaxy groups
Andreas Faltenbacher; William G. Mathews
2007-06-08T23:59:59.000Z
Based on results from cold dark matter N-body simulations we develop a dynamical model for the evolution of subhaloes within host haloes of galaxy groups. Only subhaloes more massive than 5 times 10^8 M_{sol} at the time of accretion are examined because they are massive enough to possibly host luminous galaxies. As they orbit within a growing host potential the subhaloes are subject to tidal stripping and dynamical friction. We consider groups of equal mass (M_{vir} = 3.9 times 10^{13} M_{sol}) at redshift z=0 but with different concentrations associated with different formation times. We investigate the variation of subhaloe (or satellite galaxy) velocity dispersion with host concentration and/or formation time. In agreement with the Jeans equation the velocity dispersion of subhaloes increases with the host concentration. Between concentrations ~5 and ~20 the subhaloe velocity dispersions increase by ~25 per cent. By applying a simplified tidal disruption criterion, i.e. rejection of all subhaloes with a tidal truncation radius below 3 kpc at z=0, the central velocity dispersion of 'surviving' subhaloes increases substantially for all concentrations. The enhanced central velocity dispersion among surviving subhaloes is caused by a lack of slow tangential motions. Additionally, we present a fitting formula for the velocity anisotropy parameter \\beta(r) which does not depend on concentration if the group-centric distances are scaled by r_s, the characteristic radius of the NFW-profile.
Analysis of SX farm leak histories -- Historical leak model (HLM)
Fredenburg, E.A.
1998-08-20T23:59:59.000Z
This report uses readily available historical information to better define the volume, chemical composition, and Cs-137/Sr-90 amounts for leaks that have occurred in the past for tanks SX-108, SX-109, SX-111, and SX-112. In particular a Historical Leak Model (HLM) is developed that is a month by month reconciliation of tank levels, fill records, and calculated boil-off rates for these tanks. The HLM analysis is an independent leak estimate that reconstructs the tank thermal histories thereby deriving each tank`s evaporative volume loss and by difference, its unaccounted losses as well. The HLM analysis was meant to demonstrate the viability of its approach, not necessarily to establish the HLM leak estimates as being definitive. Past leak estimates for these tanks have invariably resorted to soil wetting arguments but the extent of soil contaminated by each leak has always been highly uncertain. There is also a great deal of uncertainty with the HLM that was not quantified in this report, but will be addressed later. These four tanks (among others) were used from 1956 to 1975 for storage of high-level waste from the Redox process at Hanford. During their operation, tank waste temperatures were often as high as 150 C (300 F), but were more typically around 130 C. The primary tank cooling was by evaporation of tank waste and therefore periodic replacement of lost volume with water was necessary to maintain each tank`s inventory. This active reflux of waste resulted in very substantial turnovers in tank inventory as well as significant structural degradation of these tanks. As a result of the loss of structural integrity, each of these tanks leaked during their active periods of operation. Unfortunately, the large turnover in tank volume associated with their reflux cooling has made a determination of leak volumes very difficult. During much of these tanks operational histories, inventory losses because of evaporative cooling could have effectively masked any volume loss due to leak. However, careful comparison with reported tank levels during certain periods clearly show unaccounted volume losses for many tanks. As a result of the HLM analysis, SX-108, SX-109, SX-111, and SX-112 all show clear evidence of unaccounted volume losses during the period 1958 to 1975. Likewise, the HLM does not show similar unaccounted volume losses for tank SX-105, a tank with no reported leak history, verifying that the HLM is consistent with SX-105 not leaking. These unaccounted volume losses establish the leak start date and rate, and when propagated over time show that SX-108 lost 203 kgal followed by SX-109 at 111. SX-111 at 55, and SX-112 at 44 kgal.0664 These leak volumes represent maximum or upper bounds estimates of each leak and are in total volume about six times the previous leak estimates.
C. AMMERMAN; J. BERNARDIN
1999-11-01T23:59:59.000Z
This report presents results for design and analysis of the hot model water cooling system for the Spallation Neutron Source (SNS) coupled-cavity linac (CCL). The hot model, when completed, will include segments for both the CCL and coupled-cavity drift-tube linac (CCDTL). The scope of this report encompasses the modeling effort for the CCL portion of the hot model. This modeling effort employed the SINDA/FLUINT network modeling tool. This report begins with an introduction of the SNS hot model and network modeling using SINDA/FLUINT. Next, the development and operation of the SINDA/FLUINT model are discussed. Finally, the results of the SINDA/FLUINT modeling effort are presented and discussed.
ACTINIDE REMOVAL PROCESS SAMPLE ANALYSIS, CHEMICAL MODELING, AND FILTRATION EVALUATION
Martino, C.; Herman, D.; Pike, J.; Peters, T.
2014-06-05T23:59:59.000Z
Filtration within the Actinide Removal Process (ARP) currently limits the throughput in interim salt processing at the Savannah River Site. In this process, batches of salt solution with Monosodium Titanate (MST) sorbent are concentrated by crossflow filtration. The filtrate is subsequently processed to remove cesium in the Modular Caustic Side Solvent Extraction Unit (MCU) followed by disposal in saltstone grout. The concentrated MST slurry is washed and sent to the Defense Waste Processing Facility (DWPF) for vitrification. During recent ARP processing, there has been a degradation of filter performance manifested as the inability to maintain high filtrate flux throughout a multi-batch cycle. The objectives of this effort were to characterize the feed streams, to determine if solids (in addition to MST) are precipitating and causing the degraded performance of the filters, and to assess the particle size and rheological data to address potential filtration impacts. Equilibrium modelling with OLI Analyzer{sup TM} and OLI ESP{sup TM} was performed to determine chemical components at risk of precipitation and to simulate the ARP process. The performance of ARP filtration was evaluated to review potential causes of the observed filter behavior. Task activities for this study included extensive physical and chemical analysis of samples from the Late Wash Pump Tank (LWPT) and the Late Wash Hold Tank (LWHT) within ARP as well as samples of the tank farm feed from Tank 49H. The samples from the LWPT and LWHT were obtained from several stages of processing of Salt Batch 6D, Cycle 6, Batch 16.
analysis model dam: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Medical Image Analysis Erik B. Dam Biology and Medicine Websites Summary: - mentation program, the possible performance improvement due to non-linear diffusion is not unlimited,...
Parallel and Statistical Analysis and Modeling of Nanometer VLSI Systems
Liu, Xue-Xin
2013-01-01T23:59:59.000Z
layers. Advanced cooling techniques such as integratedtraditional fan-based cooling techniques are not sufficientcooling problems. Fast and accurate thermal analysis techniques
Economics definitions, methods, models, and analysis procedures for Homeland Security applications.
Ehlen, Mark Andrew; Loose, Verne William; Vargas, Vanessa N.; Smith, Braeton J.; Warren, Drake E.; Downes, Paula Sue; Eidson, Eric D.; Mackey, Greg Edward
2010-01-01T23:59:59.000Z
This report gives an overview of the types of economic methodologies and models used by Sandia economists in their consequence analysis work for the National Infrastructure Simulation&Analysis Center and other DHS programs. It describes the three primary resolutions at which analysis is conducted (microeconomic, mesoeconomic, and macroeconomic), the tools used at these three levels (from data analysis to internally developed and publicly available tools), and how they are used individually and in concert with each other and other infrastructure tools.
Modeling control room crews for accident sequence analysis
Huang, Y. (Yuhao)
1991-01-01T23:59:59.000Z
This report describes a systems-based operating crew model designed to simulate the behavior of an nuclear power plant control room crew during an accident scenario. This model can lead to an improved treatment of potential ...
Modeling, Analysis, and Control of Demand Response Resources
Mathieu, Johanna L.
2013-01-01T23:59:59.000Z
Modeling and control of aggregated heterogeneous thermostatically controlled loads for ancillary services”. In: Proceedings of the Power SystemsModeling and control of thermostatically controlled loads”. In: Pro- ceedings of 17 th Power Systems
Modeling, Analysis, and Control of Demand Response Resources
Mathieu, Johanna L.
2012-01-01T23:59:59.000Z
Modeling and control of aggregated heterogeneous thermostatically controlled loads for ancillary services”. In: Proceedings of the Power SystemsModeling and control of thermostatically controlled loads”. In: Pro- ceedings of 17 th Power Systems
Cordis Anima Physical Modeling and Simulation System Analysis
Kouroupetroglou, Georgios
internal descriptions, finite difference model, modal decomposition, electrical analogous circuits, CA equation [3] the modal approach where the vibrating structure is represented through a series physical modeling techniques. Vibrating structures like all kind of elastic bodies, strings, membranes
Modeling aviation's global emissions, uncertainty analysis, and applications to policy
Lee, Joosung Joseph, 1974-
2005-01-01T23:59:59.000Z
(cont.) fuel burn results below 3000 ft. For emissions, the emissions indices were the most influential uncertainties for the variance in model outputs. By employing the model, this thesis examined three policy options for ...
From Whiteboard to Model: A Preliminary Analysis Praveen Paritosh1
Forbus, Kenneth D.
such as the migration of killer bees and the efficacy of carbon sequestration. Unlike theories, models describe specific
Analysis Model for Domestic Hot Water Distribution Systems: Preprint
Maguire, J.; Krarti, M.; Fang, X.
2011-11-01T23:59:59.000Z
A thermal model was developed to estimate the energy losses from prototypical domestic hot water (DHW) distribution systems for homes. The developed model, using the TRNSYS simulation software, allows researchers and designers to better evaluate the performance of hot water distribution systems in homes. Modeling results were compared with past experimental study results and showed good agreement.
Dispersion of swimming algae in laminar and turbulent channel flows: theory and simulations
Croze, O A; Ahmed, M; Bees, M A; Brandt, L
2012-01-01T23:59:59.000Z
Algal swimming is often biased by environmental cues, e.g. gravitational and viscous torques drive cells towards downwelling fluid (gyrotaxis). In view of biotechnological applications, it is important to understand how such biased swimming affects cell dispersion in a flow. Here, we study the dispersion of gyrotactic swimming algae in laminar and turbulent channel flows. By direct numerical simulation (DNS) of cell motion within upwelling and downwelling channel flows, we evaluate time-dependent measures of dispersion for increasing values of the flow Peclet (Reynolds) numbers, Pe (Re). Furthermore, we derive an analytical `swimming Taylor-Aris dispersion' theory, using flow-dependent transport parameters given by existing microscopic models. In the laminar regime, DNS results and analytical predictions compare very well, providing the first confirmation that cells' response to flow is best described by the generalized-Taylor-dispersion microscopic model. We predict that cells drift along a channel faster th...
I. M. Neklyudov; O. P. Ledenyov; L. I. Fedorova; P. Ya. Poltinin
2013-02-18T23:59:59.000Z
The main purpose of research is to determine the influence by the small dispersive coal dust particles of the different fractional consistence on the technical characteristics of the vertical iodine air filter at nuclear power plant. The research on the transport properties of the small dispersive coal dust particles in the granular filtering medium of absorber in the vertical iodine air filter is completed in the case, when the modeled aerodynamic conditions are similar to the real aerodynamic conditions. It is shown that the appearance of the different fractional consistence of small dispersive coal dust particles with the decreasing dimensions down to the micro and nano sizes at the action of the air dust aerosol stream normally results in a significant change of distribution of the small dispersive coal dust particles masses in the granular filtering medium of an absorber in the vertical iodine air filter, changing the vertical iodine air filter aerodynamic characteristics. The precise characterization of the aerodynamic resistance of a model of the vertical iodine air filter is completed. The comparative analysis of the technical characteristics of the vertical and horizontal iodine air filters is also made.
Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models
Subramanian, Venkat
Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models and characterize capacity fade in lithium-ion batteries. As a comple- ment to approaches to mathematically model been made in developing lithium-ion battery models that incor- porate transport phenomena
On the Formal Analysis of a Spatio-Temporal Role-Based Access Control Model
Ray, Indrakshi
On the Formal Analysis of a Spatio-Temporal Role-Based Access Control Model Manachai Toahchoodee. For crit- ical applications, a model for spatio-temporal-based access control is needed that increases. Consequently, researchers have proposed various spatio-temporal access control models that are useful
Modeling and Analysis of Stage Machinery Control Systems by Timed Colored Petri Nets
Paris-Sud XI, Université de
Modeling and Analysis of Stage Machinery Control Systems by Timed Colored Petri Nets Hehua Zhang, is critical to the correctness of a system. Petri nets (PN) have been proven to be a powerful modeling tool Nets (TCPN) are proposed to model and analyze a PLC-based stage machinery control system1
Modelling, Reduction and Analysis of Markov Automata Dennis Guck1,3
Vellekoop, Michel
Hermanns2 , Joost-Pieter Katoen1,3 and Mark Timmer3 1 Software Modelling and Verification, RWTH Aachen power has thus far precluded them from effective analysis by probabilistic (and statisti- cal) model can thus model action transitions as in labelled transition systems, probabilistic branching, as well
Paris-Sud XI, UniversitÃ© de
with statistical analysis Anthony Ung, Laure Malherbe, Frederik Meleux, Bertrand Bessagnet, Laurence Rouil and MACCII modeling team INERIS institut, Paris, France Corresponding author: Anthony.ung@ineris.fr Abstract/QC dossiers and available on the MACC project website for each model. All models have also very significant
Comments on the use of computer models for merger analysis in the electricity industry
California at Berkeley. University of
that the commission is considering, electricity market models, production cost/optimal power flow models, and hybridsComments on the use of computer models for merger analysis in the electricity industry FERC Docket for market power in electricity markets. These analyses have yielded several insights about the application
Gosavi, Abhijit
Pollution Control in a Manufacturing System Stochastic Models for Analysis and Control of Air Pollution in a Manufacturing System Jan, 1, 2005 Technical Report SOPTL-05-01 Missouri University of Science models that can be used for controlling pollution in a manufacturing system. The models are developed
Model Order Reductions for Stability Analysis of Islanded Microgrids with Droop Control
Vasquez, Juan Carlos
the validity of the proposed models. Index Terms--Droop control, microgrids, power systems stability, power systems modeling. I. INTRODUCTION Microgrids consist of interconnected distributed storages and energy1 Model Order Reductions for Stability Analysis of Islanded Microgrids with Droop Control V
Jitter Analysis: The dual-Dirac Model, RJ/DJ, and Q-Scale
Palermo, Sam
Jitter Analysis: The dual-Dirac Model, RJ/DJ, and Q-Scale White Paper #12;The dual-Dirac model is a tool for quickly estimating total jitter defined at a low bit error ratio, TJ(BER). The deterministic and random subcomponents of the jitter signal are separated within the context of the model to yield two
Current-based 4D shape analysis for the mechanical personalization of heart models
Paris-Sud XI, Université de
Current-based 4D shape analysis for the mechanical personalization of heart models Lo¨ic Le Folgoc1. Abstract. Patient-specific models of the heart may lead to better understanding of cardiovascular diseases-mechanical model of the heart, from the kinematics of the endo- and epicardium, is presented in this paper. We use
ARTICLE Communicatedby JohnRime1 Analysis of Neuron Models with
Columbia University
ARTICLE Communicatedby JohnRime1 Analysis of Neuron Models with Dynamically Regulated ConductancesSystems, Brandeis University, Waltham,MA 02254 USA We analyze neuron models in which the maximal conductances and modify membrane channels in real neurons. Regulated model neurons maintain a constant averagelevel
Numerical analysis of a model for Nickel-Iron alloy electrodeposition on rotating disk
Paris-Sud XI, Université de
Numerical analysis of a model for Nickel-Iron alloy electrodeposition on rotating disk electrode N the nickel-iron electrodeposition process, we have developed one-dimensional numerical model. This model ad can predict characteristic features of the nickel-iron sys- tem. this work was supported
Styles, Vanessa
Finite element analysis of a current density - electric #12;eld formulation of Bean's model a current density-electric #12;eld formulation of Bean's model for the experimental set-up of a in#12;nitely. As observed by Bossavit, [4], Bean's critical state model can be formulated as a degenerate Stefan problem
Global horizontal irradiance clear sky models : implementation and analysis.
Stein, Joshua S.; Hansen, Clifford W.; Reno, Matthew J.
2012-03-01T23:59:59.000Z
Clear sky models estimate the terrestrial solar radiation under a cloudless sky as a function of the solar elevation angle, site altitude, aerosol concentration, water vapor, and various atmospheric conditions. This report provides an overview of a number of global horizontal irradiance (GHI) clear sky models from very simple to complex. Validation of clear-sky models requires comparison of model results to measured irradiance during clear-sky periods. To facilitate validation, we present a new algorithm for automatically identifying clear-sky periods in a time series of GHI measurements. We evaluate the performance of selected clear-sky models using measured data from 30 different sites, totaling about 300 site-years of data. We analyze the variation of these errors across time and location. In terms of error averaged over all locations and times, we found that complex models that correctly account for all the atmospheric parameters are slightly more accurate than other models, but, primarily at low elevations, comparable accuracy can be obtained from some simpler models. However, simpler models often exhibit errors that vary with time of day and season, whereas the errors for complex models vary less over time.
Modeling, Analysis, and Control of Demand Response Resources
Mathieu, Johanna L.
2012-01-01T23:59:59.000Z
E.2 Heat pumps . . E.3 Water heaters . parameters v E.4analysis for residential water heater efficiency standards.An evaluation of the water heater load potential for
CARMEN [Code, Analysis, Repository & Modelling for e-Neuroscience]
Pryor, Graham
The CARMEN pilot project seeks to create a virtual laboratory for experimental neurophysiology, enabling the sharing and collaborative exploitation of data, analysis code and expertise. This study by the DCC contributes ...
Distributed lyapunov functions in analysis of graph models of software
Roozbehani, Mardavij
In previous works, the authors introduced a framework for software analysis, which is based on optimization of Lyapunov invariants. These invariants prove critical software properties such as absence of overflow and ...
Methods for dispersing hydrocarbons using autoclaved bacteria
Tyndall, R.L.
1996-11-26T23:59:59.000Z
A method of dispersing a hydrocarbon includes the following steps: providing a bacterium selected from the following group: ATCC 85527, ATCC 75529, and ATCC 55638, a mutant of any one of these bacteria possessing all the identifying characteristics of any one of these bacteria, and mixtures; autoclaving the bacterium to derive a dispersant solution; and contacting the dispersant solution with a hydrocarbon to disperse the hydrocarbon. Moreover, a method for preparing a dispersant solution includes the following steps: providing a bacterium selected from the following group: ATCC 75527, ATCC 75529, and ATCC 55638, a mutant of any one of these bacteria possessing all the identifying characteristics of any one of these bacteria, and mixtures; and autoclaving the bacterium to derive a dispersant solution.
Polyfunctional dispersants for controlling viscosity of phyllosilicates
Chaiko, David J.
2006-07-25T23:59:59.000Z
This invention provides phyllosilicates and polyfunctional dispersants which can be manipulated to selectively control the viscosity of phyllosilicate slurries. The polyfunctional dispersants used in the present invention, which include at least three functional groups, increase the dispersion and exfoliation of phyllosilicates in polymers and, when used in conjunction with phyllosilicate slurries, significantly reduce the viscosity of slurries having high concentrations of phyllosilicates. The functional groups of the polyfunctional dispersants are capable of associating with multivalent metal cations and low molecular weight organic polymers, which can be manipulated to substantially increase or decrease the viscosity of the slurry in a concentration dependent manner. The polyfunctional dispersants of the present invention can also impart desirable properties on the phyllosilicate dispersions including corrosion inhibition and enhanced exfoliation of the phyllosilicate platelets.
Computational modeling and analysis of airflow in a tritium storage room
Chen, Z. (Zukun); Konecni, S. (Snezana); Whicker, J. J. (Jeffrey J.)
2003-01-01T23:59:59.000Z
In this study, a commercial computational fluid dynamics (CFD) code, CFX-5.5, was utilized to assess flow field characteristics, and to simulate tritium gas releases and subsequent transport in a storage room in the tritium handling facility at Los Alamos. This study was done with mesh refinement and results compared. The results show a complex, ventilation-induced flow field with vortices, velocity gradients, and stagnant air pockets. This paper also explains the timedependent gas dispersion results. The numerical analysis method used in this study provides important information that is possible to be validated with an experimental technique of aerosol tracer measurement method frequently used at Los Alamos. Application of CFD can have a favorable impact on the design of ventilation systems and worker safety with consideration to facility costs.
Modeling Analysis of Biosparging at the Sanitary Landfill
Jackson, D.
1998-11-25T23:59:59.000Z
This report presents the results of a groundwater modeling study that evaluates the performance of the biosparging system at the Sanitary Landfill.
analysis divergent models: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
from a Gibbs family known as hierarchical model. We derive these quantities from the maximum-entropy principle which was used earlier to define the closely related irreducible...
Simulation of accidental UF/sub 6/ releases in support of the safety analysis effort
Just, R.A.
1986-01-01T23:59:59.000Z
The safety analysis of the US uranium enrichment facilities requires that postulated accidental releases of UF/sub 6/ be simulated. In order to predict the human health consequences of a postulated UF/sub 6/ release, two types of information are needed: (1) predicted toxicant concentrations and exposure durations at pertinent locations (calculated by a dispersion model), and (2) toxicity data which support the assessment of the human health consequences of a known exposure to a mixture of UF/sub 6/ and UF/sub 6/ hydrolysis products. This report describes the development of a Gaussian dispersion model for simulating UF/sub 6/ dispersion and the plans for developing a puff dispersion model.
Dispersion compensation for attosecond electron pulses
Hansen, Peter; Baumgarten, Cory; Batelaan, Herman; Centurion, Martin [Department of Physics and Astronomy, University of Nebraska-Lincoln, Lincoln, Nebraska 68588 (United States)
2012-08-20T23:59:59.000Z
We propose a device to compensate for the dispersion of attosecond electron pulses. The device uses only static electric and magnetic fields and therefore does not require synchronization to the pulsed electron source. Analogous to the well-known optical dispersion compensator, an electron dispersion compensator separates paths by energy in space. Magnetic fields are used as the dispersing element, while a Wien filter is used for compensation of the electron arrival times. We analyze a device with a size of centimeters, which can be applied to ultrafast electron diffraction and microscopy, and fundamental studies.
The evolution of dispersion in the sibilants of the Scandinavian languages
Williams, Paul Jonathan
2012-11-28T23:59:59.000Z
This dissertation investigates the evolution of dispersion in sound inventories by extending Boersma & Hamann’s (2008) model to the sibilant inventories of some of the modern Scandinavian languages. I show that the Icelandic and central Swedish...
Analysis of mathematical models of underground coal gasification
Fausett, L.V.
1984-01-01T23:59:59.000Z
Results are reported of a survey and comparison of forward combustion underground coal gasification (UCG) models that are available in the public domain. The six models obtained for study were mathematically analyzed to determine their conceptual completeness and computational complexity. The computer code for each model was implemented on the University of Wyoming CDC CYBER 730/760 computer system. Computed analyses were made with each of the programs using data to simulate six representative UCG field tests. Four of the field tests were air injection experiments and two were oxygen/steam. Modifications were necessary to two models in order for them to simulate oxygen/steam injection experiments. A mistake in the computer code for one model was discovered and corrected; this enabled the code to execute with data from one field test for which the original version had failed. An alternate numerical solution technique for one mdoel was studied, and improved correlations for the model were developed. An approximate analytical solution to the model was obtained that is valid over the region where difficulties were encountered, using both multiple shooting and collocation numerical solutions. The applicability of each model to the various conditions occurring in the different field tests was determined.
The SROV program for data analysis and regression model identification
Brauner, Neima
) regression models comprised of linear combination of independent variables and their non-linear functions. # 2002 Elsevier Science Ltd. All rights reserved. Keywords: Stepwise regression; Colinearity; Non have been intro- duced for selection of the optimal model in linear regression (for detailed reviews
Analysis of forward combustion underground coal gasification models
Fausett, L.K.; Fausett, D.W.
1984-01-01T23:59:59.000Z
A survey has been made of forward combustion gasification models that are available in the public domain. The six models obtained for study have been mathematically analyzed to determine their conceptual completeness and computational complexity. The models range in scope of generality from a simple constrained mass balance model to a two-dimensional unsteady-state model. The computer code for each model has been implemented on the University of Wyoming CDC CYBER 730/760 computer system. Computed analyses with each of the programs are compared using data (taken primarily from the Lawrence Livermore National Laboratory (LLNL) Underground Coal Gasification (UCG) Data Base) corresponding to six representative DOE sponsored field experiments at Hanna, Hoe Creek, Rawlins, and Pricetown. Four of the field tests were air injection experiments and two were oxygen/steam injection experiments. This study provides a direct comparison of input data requirements and computer resource requirements of the six computer codes. It furnishes an indication of the applicability of each model to the various operating conditions in the different field tests. Computational capabilities and limitations of each model are discussed in detail. 20 references, 47 figures, 13 tables.
Transport Analysis of Trace Tritium Experiments on JET using TRANSP Code and Comparison with Theory-Based Transport Models
On the application of computational fluid dynamics codes for liquefied natural gas dispersion.
Luketa-Hanlin, Anay Josephine; Koopman, Ronald P. (Lawrence Livermore National Laboratory, Livermore, CA); Ermak, Donald (Lawrence Livermore National Laboratory, Livermore, CA)
2006-02-01T23:59:59.000Z
Computational fluid dynamics (CFD) codes are increasingly being used in the liquefied natural gas (LNG) industry to predict natural gas dispersion distances. This paper addresses several issues regarding the use of CFD for LNG dispersion such as specification of the domain, grid, boundary and initial conditions. A description of the k-{var_epsilon} model is presented, along with modifications required for atmospheric flows. Validation issues pertaining to the experimental data from the Burro, Coyote, and Falcon series of LNG dispersion experiments are also discussed. A description of the atmosphere is provided as well as discussion on the inclusion of the Coriolis force to model very large LNG spills.
A three-phase converter model for harmonic analysis of HVDC systems
Xu, W.; Drakos, J.E.; Mansour, Y.; Chang, A. (B.C. Hydro, Burnaby, British Columbia (Canada))
1994-07-01T23:59:59.000Z
An equivalent circuit model is presented to model bridge converters for three-phase HVDC harmonic power flow analysis. The validity and accuracy of the model are verified by comparing simulation results against field test results. The model is interfaced with a multiphase harmonic load flow program to investigate the generation of non-characteristic harmonics from HVDC links and the flow of HVDC harmonics in a real system.
A Micromechanical Model for Viscoelastic-Viscoplastic Analysis of Particle Reinforced Composite
Kim, Jeong Sik
2011-02-22T23:59:59.000Z
This study introduces a time-dependent micromechanical model for a viscoelastic-viscoplastic analysis of particle-reinforced composite and hybrid composite. The studied particle-reinforced composite consists of solid spherical particle and polymer...
Production Economics Modeling and Analysis of Polluting firms: The Production Frontier Approach
Mekaroonreung, Maethee
2012-10-19T23:59:59.000Z
As concern grows about energy and environment issues, energy and environmental modeling and related policy analysis are critical issues for today's society. Polluting firms such as coal power plants play an important role in providing electricity...
Webster, Mort David.; Tatang, Menner A.; McRae, Gregory J.
This paper presents the probabilistic collocation method as a computationally efficient method for performing uncertainty analysis on large complex models such as those used in global climate change research. The collocation ...
Shi, Z.; Thomey, M. L.; Mowll, W.; Litvak, M.; Brunsell, Nathaniel A.; Collins, S. L.; Pockman, W. T.; Smith, M. D.; Knapp, A. K.; Luo, Y.
2014-02-04T23:59:59.000Z
Extremes in climate may severely impact ecosystem structure and function, with both the magnitude and rate of response differing among ecosystem types and processes. We conducted a modeling analysis of the effects of extreme ...
The bootstrap multiscale analysis for the multi-particle Anderson model
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.
A microscopically motivated constitutive model for shape memory alloys: formulation, analysis
Rheinisch-Westfälische Technische Hochschule Aachen (RWTH)
A microscopically motivated constitutive model for shape memory alloys: formulation, analysisTi polycrystalline shape memory alloys exhibiting transformations between three solid phases (austenite, R presented. 1 Introduction Shape memory alloys (SMA) are metallic materials exhibiting remarkable properties
Open source software maturity model based on linear regression and Bayesian analysis
Zhang, Dongmin
2009-05-15T23:59:59.000Z
based on Bayesian statistics. More importantly, an updating rule is established through Bayesian analysis to improve the joint distribution, and thus the objectivity of the coefficients in the linear multiple-regression model, according to new incoming...
Reliable Phase Stability Analysis for Asymmetric Models , William D. Haynes2*
Stadtherr, Mark A.
; Interval analysis; Validated computing; Equation of state; NRTL. * Current address: NFS Inc., 1205 Banner several examples, involving as many as eight components, with NRTL as the liquid phase model and a cubic
A Micromechanical Model for Viscoelastic-Viscoplastic Analysis of Particle Reinforced Composite
Kim, Jeong Sik
2011-02-22T23:59:59.000Z
This study introduces a time-dependent micromechanical model for a viscoelastic-viscoplastic analysis of particle-reinforced composite and hybrid composite. The studied particle-reinforced composite consists of solid spherical particle and polymer...
Stochastic Modeling and Analysis of Pathway Regulation and Dynamics
Zhao, Chen
2012-07-16T23:59:59.000Z
To effectively understand and treat complex diseases such as cancer, mathematical and statistical modeling is essential if one wants to represent and characterize the interactions among the different regulatory components that govern the underlying...
Computer Modeling of Violent Intent: A Content Analysis Approach
Sanfilippo, Antonio P.; Mcgrath, Liam R.; Bell, Eric B.
2014-01-03T23:59:59.000Z
We present a computational approach to modeling the intent of a communication source representing a group or an individual to engage in violent behavior. Our aim is to identify and rank aspects of radical rhetoric that are endogenously related to violent intent to predict the potential for violence as encoded in written or spoken language. We use correlations between contentious rhetoric and the propensity for violent behavior found in documents from radical terrorist and non-terrorist groups and individuals to train and evaluate models of violent intent. We then apply these models to unseen instances of linguistic behavior to detect signs of contention that have a positive correlation with violent intent factors. Of particular interest is the application of violent intent models to social media, such as Twitter, that have proved to serve as effective channels in furthering sociopolitical change.
Bayesian Modeling and Analysis for Gradients in Spatiotemporal Processes
Quick, Harrison; Banerjee, Sudipto; Carlin, Bradley P.
2015-01-01T23:59:59.000Z
form for total air pollution measurements. Computationalanalysis of the California air pollution data, supplying theair quality warnings, public health officials rely on statistical models to predict each day’s pollution
Analysis of Attic Radiant Barrier Systems Using Mathematical Models
Fairey, P.; Swami, M.
1988-01-01T23:59:59.000Z
During the past six years, the Florida Solar Energy Center (FSEC) has conducted extensive experimental research on radiant barrier systems (RBS). This paper presents recent research on the development of mathematical attic models. Two levels...
An Analysis of TRL-Based Cost and Schedule Models
Kenley, C. Robert
2012-04-30T23:59:59.000Z
The GAO's, NASA's, and the DoD's adoption of the technology readiness level (TRL) scale to improve technology management has led to the emergence of many TRL-based models that are used to monitor technology maturation, ...
Image-Driven Population Analysis Through Mixture Modeling
Shenton, Martha E.
We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The output of the algorithm is a small number of template ...
Application of Bayesian Hierarchical Models in Genetic Data Analysis
Zhang, Lin
2012-08-15T23:59:59.000Z
expression levels follow a Gaussian distribution. We derive the gene network structures by selecting covariance matrices of the Gaussian distribution with a hyper-inverse Wishart prior. We incorporate prior network models based on Gene Ontology information...
Analysis of Attic Radiant Barrier Systems Using Mathematical Models
Fairey, P.; Swami, M.
1988-01-01T23:59:59.000Z
During the past six years, the Florida Solar Energy Center (FSEC) has conducted extensive experimental research on radiant barrier systems (RBS). This paper presents recent research on the development of mathematical attic models. Two levels...
Productivity prediction model based on Bayesian analysis and productivity console
Yun, Seok Jun
2005-08-29T23:59:59.000Z
in poor planning and defies effective control of time and budgets in project management. In this research, we have built a productivity prediction model which uses productivity data from an ongoing project to reevaluate the initial productivity estimate...
Analysis of WACSIS data using a directional hybrid wave model
Zhang, Shaosong
2007-04-25T23:59:59.000Z
.5 WACSIS Data Analysis ...................................................................102 6.5.1 Data Sets Recorded By the Directional Waverider Buoy .......105 6.5.2 Estimation Based On the PUV................................................108 6... (before shifted)..................................................31 4.2 Time series of pressure and Vx (after shifted).....................................................32 4.3 Power spectrum of pressure...
Robust Efficient Frontier Analysis with a Separable Uncertainty Model
2007-11-29T23:59:59.000Z
We consider MV analysis with n risky assets held over a period of time. ..... since it is the pointwise infimum of a family of linear functions. ...... for Circuit & System Solutions award 2003-CT-888, by JPL award I291856, by the Precourt. Institute ...