Edinburgh Motor Assessment (EMAS)
Bak, Thomas
2013-12-01T23:59:59.000Z
Edinburgh Motor Assessment (EMAS) is a brief motor screening test, specifically designed for assessment of patients with dementia, aphasia and other cognitive disorders. It focuses, therefore, on those motor symptoms, ...
Electricity Markets Analysis (EMA) Model | Open Energy Information
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 on DeliciousPlasmaP aCentrothermDepew, New York: EnergyMesa GeothermalTechnologies AppliedGeothermal ProjectNo6Markets
Energy Materials Coordinating Committee (EMaCC)
Not Available
1991-05-31T23:59:59.000Z
This report summarizes EMaCC activities for fiscal year 1990 and describes the materials research programs of various offices and divisions within the department. The DOE Energy Materials Coordinating Committee (EMaCC) serves primarily to enhance coordination among the Department's materials programs and to further the effective use of materials expertise within the department. (JL)
Energy Materials Coordinating Committee (EMaCC): Fiscal year 1996. Annual technical report
NONE
1997-08-01T23:59:59.000Z
The DOE Energy Materials Coordinating Committee (EMaCC) serves primarily to enhance coordination among the Department`s materials programs and to further effective use of materials expertise within the Department. These functions are accomplished through the exchange of budgetary and planning information among program managers and through technical meetings/workshops on selected topics involving both DOE and major contractors. In addition, EMaCC assists in obtaining materials-related inputs for both intra- and interagency compilations. The EMaCC reports to the Director of the Office of Energy Research in his or her capacity as overseer of the technical programs of the Department. This annual technical report is mandated by the EMaCC terms of reference. This report summarizes EMaCC activities for FY 1996 and describes the materials research programs of various offices and divisions within the Department.
Sandia Energy - Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Analysis Permalink Gallery Sandia Study Shows Large LNG Fires Hotter but Smaller Than Expected Analysis, Energy Assurance, Infrastructure Security, Modeling, Modeling & Analysis,...
Energy Materials Coordinating Committee (EMaCC) Fiscal Year 1999 annual technical report
None
2000-10-31T23:59:59.000Z
The DOE Energy Materials Coordinating Committee (EMaCC) serves primarily to enhance coordination among the Department`s materials programs and to further effective use of materials expertise within the Department. These functions are accomplished through the exchange of budgetary and planning information among program managers and through technical meetings/workshops on selected topics involving both DOE and major contractors. In addition, EMaCC assists in obtaining materials-related inputs for both intra- and interagency compilations. This report summarizes EMaCC activities for FY 1999 and describes the materials research programs of various offices and divisions within the Department.
Energy Materials Coordinating Committee (EMaCC). Annual technical report, Fiscal Year 2001
none,
2002-08-01T23:59:59.000Z
The DOE Energy Materials Coordinating Committee (EMaCC) serves primarily to enhance coordination among the Department's materials programs and to further effective use of materials expertise within the Department. These functions are accomplished through the exchange of budgetary and planning information among program managers and through technical meetings/workshops on selected topics involving both DOE and major contractors. In addition, EMaCC assists in obtaining materials-related inputs for both intra- and interagency compilations.
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...
Energy Materials Coordinating Committee (EMaCC): Annual technical report, fiscal year 1993
Not Available
1994-07-01T23:59:59.000Z
The DOE Energy Materials Coordinating Committee (EMaCC) serves primarily to enhance coordination among the Department`s materials programs and to further effective use of materials expertise within the Department. These functions are accomplished through the exchange of budgetary and planning information among program managers and through technical meetings/workshops on selected topics involving both DOE and major contractors. In addition, EMaCC assists in obtaining materials-related inputs for both intra- and interagency compilations. This report summarizes EMaCC activities for FY 1993 and describes the materials research programs of various offices and divisions within the Department. The program descriptions consist of a funding summary for each Assistant Secretary office and the Office of Energy Research, and detailed project summaries with project goals and accomplishments. The FY 1993 budget summary table for DOE Materials Activities in each of the programs is presented.
Dai, Yang
Protein folding dynamics in lattice model with physical movement S¨ema Kachalo, Hsiao-Mei Lu analysis of the kinetic energy landscape. I. INTRODUCTION The dynamics of protein folding has been studied exten- sively [1, 35]; A remarkable empirical observation is that protein folding rates are well
Lakes, Roderic
the natural frequency. They are available for longitudinal or shear waves. They are intended for non-destructive used for non-destructive evaluation of machine parts and for diagnostic ultrasonic diagnosis1 EMA 611 Advanced Mechanical Testing, University of Wisconsin Experiment 2. Ultrasonics
Wu, Thomas
with predetermined stroke and load profiles for transient thermal and electric power behavior to validate a numerical aircraft mission duty cycle. A hydraulic press will exert a corresponding load profile onto the EMA. Specialized hydraulic load control methods must be employed to meet the accuracy requirements. Two
Sandia National Laboratories: Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
28, 2014, in Computational Modeling & Simulation, Energy, Energy Storage, Energy Storage Systems, Infrastructure Security, Materials Science, Modeling, Modeling & Analysis, News,...
Energy Materials Coordinating Committee (EMaCC), Fiscal year 1992. Annual technical report
Not Available
1993-05-01T23:59:59.000Z
The DOE EMaCC serves to coordinate the department`s materials programs and to further effective use of materials expertise within the department. This document presents summaries of budgets and of research projects, arranged according to the offices of energy efficiency and renewable energy, energy research, environmental restoration and waste management, nuclear energy, civilian radioactive waste management, defense, and fossil energy. A directory and a keyword index are included.
Lee, S.
2011-05-05T23:59:59.000Z
The Savannah River Remediation (SRR) Organization requested that Savannah River National Laboratory (SRNL) develop a Computational Fluid Dynamics (CFD) method to mix and blend the miscible contents of the blend tanks to ensure the contents are properly blended before they are transferred from the blend tank; such as, Tank 50H, to the Salt Waste Processing Facility (SWPF) feed tank. The work described here consists of two modeling areas. They are the mixing modeling analysis during miscible liquid blending operation, and the flow pattern analysis during transfer operation of the blended liquid. The transient CFD governing equations consisting of three momentum equations, one mass balance, two turbulence transport equations for kinetic energy and dissipation rate, and one species transport were solved by an iterative technique until the species concentrations of tank fluid were in equilibrium. The steady-state flow solutions for the entire tank fluid were used for flow pattern analysis, for velocity scaling analysis, and the initial conditions for transient blending calculations. A series of the modeling calculations were performed to estimate the blending times for various jet flow conditions, and to investigate the impact of the cooling coils on the blending time of the tank contents. The modeling results were benchmarked against the pilot scale test results. All of the flow and mixing models were performed with the nozzles installed at the mid-elevation, and parallel to the tank wall. From the CFD modeling calculations, the main results are summarized as follows: (1) The benchmark analyses for the CFD flow velocity and blending models demonstrate their consistency with Engineering Development Laboratory (EDL) and literature test results in terms of local velocity measurements and experimental observations. Thus, an application of the established criterion to SRS full scale tank will provide a better, physically-based estimate of the required mixing time, and elevation of transfer pump for minimum sludge disturbance. (2) An empirical equation for a tank with no cooling coils agrees reasonably with the current modeling results for the dual jet. (3) From the sensitivity study of the cooling coils, it was found that the tank mixing time for the coiled tank was about two times longer than that of the tank fluid with no coils under the 1/10th scale, while the coiled tank required only 50% longer than the one without coils under the full scale Tank 50H. In addition, the time difference is reduced when the pumping U{sub o}d{sub o} value is increased for a given tank. (4) The blending time for T-shape dual jet pump is about 20% longer than that of 15{sup o} upward V-shape pump under the 1/10th pilot-scale tank, while the time difference between the two pumps is about 12% for the full-scale Tank 50H. These results are consistent with the literature information. (5) A transfer pump with a solid-plate suction screen operating at 130 gpm can be located 9.5 inches above settled sludge for 2 in screen height in a 85 ft waste tank without disturbing any sludge. Detailed results are summarized in Table 13. Final pump performance calculations were made by using the established CW pump design, and operating conditions to satisfy the two requirements of minimum sludge disturbance, and adequate blending of tank contents. The final calculation results show that the blending times for the coiled and uncoiled tanks coupled with the CW pump design are 159 and 83 minutes, respectively. All the results are provided in Table 16.
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
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...
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
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.
Image Analysis Model-Based Methods
Wolfe, Patrick J.
Model-Based Methods Comparing and Evaluating Models Summary Further Reading Data Collection ScientificImage Analysis Model-Based Methods Comparing and Evaluating Models Summary Further Reading Fully Low-Count Image Analysis #12;Image Analysis Model-Based Methods Comparing and Evaluating Models
Climate Analysis, Monitoring, and Modeling
Climate Analysis, Monitoring, and Modeling Environmental Research Area PIER Environmental Research www.energy.ca.gov/research/ environmental August 2012 The Issue Climate change is a daunting challenge health. The energy sector will not be spared. The potential repercussions of climate change include
Water Budget Analysis and Groundwater Inverse Modeling
Farid Marandi, Sayena
2012-07-16T23:59:59.000Z
The thesis contains two studies: First is the water budget analysis using the groundwater modeling and next is the groundwater modeling using the MCMC scheme. The case study for the water budget analysis was the Norman Landfill site in Oklahoma...
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.
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
Gas ejector modeling for design and analysis
Liao, Chaqing
2009-05-15T23:59:59.000Z
A generalized ejector model was successfully developed for gas ejector design and performance analysis. Previous 1-D analytical models can be derived from this new comprehensive model as particular cases. For the first ...
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
Bifurcation Analysis of Various Power System Models
Cańizares, 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
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
MAUI: Modeling, Analysis, and Ultrafast Imaging | Argonne National...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Multimodal Imaging MAUI: Modeling, Analysis, and Ultrafast Imaging MAUI: Modeling, Analysis, and Ultrafast Imaging Project Goals Understanding lattice vibrations in...
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...
Data Consolidation and Model Feasibility Analysis
Data Consolidation and Model Feasibility Analysis on the Island of Maui Prepared for the U Task 6 Deliverable Letter Report on Data Consolidation and Model Feasibility Analysis on the Island content of as-available energy. This deliverable outlines the data requested by GE Global Research (GE
THREE PRESENTATIONS ON GEOGRAPHICAL ANALYSIS AND MODELING
California at Santa Barbara, University of
Geographic Information Systems have the potential of overcoming the isotropic plane assumption, even though93106-4060 tobler@geog.ucsb.edu NATIONAL CENTER FOR GEOGRAPHIC INFORMATION AND ANALYSIS TECHNICAL REPORTTHREE PRESENTATIONS ON GEOGRAPHICAL ANALYSIS AND MODELING 1) NON-ISOTROPIC MODELING 2) SPECULATIONS
Modeling Solar Activity Bayesian Analysis of Stellar Evolution
Wolfe, Patrick J.
Modeling Solar Activity Bayesian Analysis of Stellar Evolution Astrostatistical Analysis in Solar, David Astrostatistical Analysis in Solar and Stellar Physics #12;Modeling Solar Activity Bayesian Analysis of Stellar Evolution Outline 1 Modeling Solar Activity Background Morphological Feature Extraction
Spatial Analysis (interpolation and modeling)
Boynton, Walter R.
of animal communities in the Chukchi and Bering seas are represented by interpolation (left) and pie charts analysis Standard: $35/hr - In house $55/hr - Private and Federal $50/hr - State Analysis: $45/hr - In house $65/hr - Private and Federal $60/hr - State Services Prices 1 High Salinity , High Turbidity 2
Sandia National Laboratories: Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
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...
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 - Analysis, Modeling, Cost of Energy, and Policy...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Analysis, Modeling, Cost of Energy, and Policy Impact: Wind Vision 2014 Home Stationary Power Energy Conversion Efficiency Wind Energy Special Programs Analysis, Modeling, Cost of...
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...
CLEERS Aftertreatment Modeling and Analysis | Department of Energy
Modeling and Analysis CLEERS Aftertreatment Modeling and Analysis 2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer...
Grid Monitoring, Modeling, and Analysis | ornl.gov
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Modeling, and Analysis SHARE Grid Monitoring, Modeling, and Analysis The electric power industry has undergone extensive changes over the past several decades and become...
Analysis of RADTRAN transportation model
Resnikoff, M. [Radioactive Waste Management Associates, New York, NY (United States)
1990-10-01T23:59:59.000Z
This paper reviews the RADTRAN computer model, used to estimate the risks of transporting waste to a high-level repository. Ignoring high consequence accidents, human error, sabotage, realistic accident scenarios and recent health effects data leads to an underestimate of potential health effects. Potential economic costs following an accident in a rural area are low compared to a scale-up of the Palomares, Spain clean-up and other estimates. The author states that these costs can vary widely depending on the accident locale and whether certain direct and indirect costs are included.
Static Model Analysis with Lattice-based Ontologies
Lickly, Ben
2012-01-01T23:59:59.000Z
3 Static Analysis 3.1 Heuristics-based tools . . . . .Ontology Framework for Static Model Analysis”. In: EMSOFT ’Murawski and Kwangkeun Yi. “Static Monotonicity Analysis for
Modeling and Analysis ofModeling and Analysis of Hybrid Control SystemsHybrid Control Systems
Johansson, Karl Henrik
Modeling 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 on commands and autonomous actions #12;Karl H. Johansson, Hybrid control systems, MOVEP, Bordeaux, 2006
Update 6 to: A Dispersion Modeling Analysis of Downwash from...
Office of Environmental Management (EM)
6 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant Modeling Baseload Units 3,4,5 Update 6 to: A Dispersion Modeling Analysis of Downwash from...
Update 3 to: A Dispersion Modeling Analysis of Downwash from...
Office of Environmental Management (EM)
3 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Units 1 and 4 Together Update 3 to: A Dispersion Modeling Analysis of Downwash...
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 on Delicious Rank EERE:Department ofFormer Worker/EnergySteeringResidential BuildingsHowScenario Analysis Model (HDSAM)
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.
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...
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...
Update 1 to: A Dispersion Modeling Analysis of Downwash from...
Broader source: Energy.gov (indexed) [DOE]
Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Unit 1 Emissions in a Cycling Mode More Documents & Publications Update 3...
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
MODELING ANALYSIS FOR GROUT HOPPER WASTE TANK
Lee, S.
2012-01-04T23:59:59.000Z
The Saltstone facility at Savannah River Site (SRS) has a grout hopper tank to provide agitator stirring of the Saltstone feed materials. The tank has about 300 gallon capacity to provide a larger working volume for the grout nuclear waste slurry to be held in case of a process upset, and it is equipped with a mechanical agitator, which is intended to keep the grout in motion and agitated so that it won't start to set up. The primary objective of the work was to evaluate the flow performance for mechanical agitators to prevent vortex pull-through for an adequate stirring of the feed materials and to estimate an agitator speed which provides acceptable flow performance with a 45{sup o} pitched four-blade agitator. In addition, the power consumption required for the agitator operation was estimated. The modeling calculations were performed by taking two steps of the Computational Fluid Dynamics (CFD) modeling approach. As a first step, a simple single-stage agitator model with 45{sup o} pitched propeller blades was developed for the initial scoping analysis of the flow pattern behaviors for a range of different operating conditions. Based on the initial phase-1 results, the phase-2 model with a two-stage agitator was developed for the final performance evaluations. A series of sensitivity calculations for different designs of agitators and operating conditions have been performed to investigate the impact of key parameters on the grout hydraulic performance in a 300-gallon hopper tank. For the analysis, viscous shear was modeled by using the Bingham plastic approximation. Steady state analyses with a two-equation turbulence model were performed. All analyses were based on three-dimensional results. Recommended operational guidance was developed by using the basic concept that local shear rate profiles and flow patterns can be used as a measure of hydraulic performance and spatial stirring. Flow patterns were estimated by a Lagrangian integration technique along the flow paths from the material feed inlet.
Update 4 to: A Dispersion Modeling Analysis of Downwash from...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
4 to: A Dispersion Modeling 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...
Update 2 to: A Dispersion Modeling Analysis of Downwash from...
Office of Environmental Management (EM)
2 to: A Dispersion Modeling 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...
Update 5 to: A Dispersion Modeling Analysis of Downwash from...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
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...
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
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.
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
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
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
AN INTRODUCTION TO HYBRID SYSTEM MODELING, ANALYSIS, AND CONTROL
Pappas, George J.
AN INTRODUCTION TO HYBRID SYSTEM MODELING, ANALYSIS, AND CONTROL JOHN LYGEROS, GEORGE PAPPAS as models of large scale systems. We provide an overview of modeling, analysis, and controller synthesis automatically. Finally, we review a method for designing controllers for hybrid systems with reachability
Sensitivity Analysis Methodology for a Complex System Computational Model
1 Sensitivity Analysis Methodology for a Complex System Computational Model James J. Filliben of computational models to serve as predictive surrogates for the system. The use of such models increasingly) of a computational model for a complex system is always an essential component in accepting/rejecting such a model
Zakharov, Vladimir
Department o f Math ema tics , Tucso n, AZ 85721 · 520.626.6145 · i me @mat h.a rizo na. edu · im e. mat h.ar izona .e du ANNUAL REPORT, 20072008 INSTITUTE FOR MATHEMATICS AND EDUCATION #12;#12;I ns ti Education, March 2022, 2008 5 Southwestern Network Meeting and Proof Workshop, September 27, 2008 5 Facing
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.
Bioproduct Life Cycle Analysis with the GREET Model
Broader source: Energy.gov [DOE]
Breakout Session 2B—Integration of Supply Chains II: Bioproducts—Enabling Biofuels and Growing the Bioeconomy Bioproduct Life Cycle Analysis with the GREET Model Jennifer B. Dunn, Biofuel Life Cycle Analysis Team Lead, Argonne National Laboratory
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...
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...
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.
The conservation planning analysis model. Final report
Not Available
1993-12-31T23:59:59.000Z
This paper contains the source code for a program on conservation planning analysis for residential, commercial and industrial customers.
Ultraviolet Communication Network Modeling and Analysis
Wang, Leijie
2011-01-01T23:59:59.000Z
and NLOS UV Communication System Model . . . . . . 3.2.15.3 UV Communication Link and TransceiverUV NLOS communication system model in coplanar
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
A priori and a posteriori analysis of finite volume discretizations of Darcy's equations
Achdou, Yves
A priori and a posteriori analysis of finite volume discretizations of Darcy's equations by Y of some finite volume disÂ cretizations of Darcy's equations. We propose two finite volume schemesâ??eÂ tisation par volumes finis des â??equations de Darcy. Nous proposons deux schâ??emas de volÂ umes finis sur des
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
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
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.
Modelling and Analysis of Wireless Sensor Networks with Energy
Modelling and Analysis of Wireless Sensor Networks with Energy Harvesting Capabilities Nan Wu and energy harvesting may exceed the gain by using them. So, it can be seen as a trade-off in Wireless Sensor a generic modelling framework which can be used to model and analyze energy harvesting aware Wireless Sensor
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
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 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
Performance analysis and modeling of GYRO
Lively, Charles Wesley, III
2006-10-30T23:59:59.000Z
Efficient execution of scientific applications requires an understanding of how system features impact the performance of the application. Performance models provide significant insight into the performance relationships ...
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.
Wu, Thomas
-history profile of load forces (force profile). Both of these profiles can be translated to the perspective and localized nature of the power demands of an EMA's motor, an especially Integrated Nonlinear Dynamic Modeling for simulating the motor over lengthy mission profiles. Instead, a nonlinear, lumped element model (NL-LEM) can
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 ...
Water Budget Analysis and Groundwater Inverse Modeling
Farid Marandi, Sayena
2012-07-16T23:59:59.000Z
hydrological processes at the Norman Landfill site including evapotranspiration, recharge, and regional groundwater flow and groundwater-surface water interaction. The MCMC scheme also proved to be a robust tool for the inverse groundwater modeling but its...
Hierarchical Modeling and Analysis of Embedded Systems
Esposito, Joel M.
concerning vehicle coordination. Keywords--Embedded control systems, formal analysis tools, hybrid systems, modular design. I. INTRODUCTION An embedded system typically consists of a collection of digital programs. This approach to system design largely ignores the problem of implementing control laws as a piece of software
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
Modeling and Analysis of Two-Part Type Manufacturing Systems
Jang, Young Jae
This paper presents a model and analysis of a synchronous tandem flow line that produces different part types on unreliable machines. The machines operate according to a static priority rule, operating on the highest ...
Dating Concurrent Objects: Real-Time Modeling and Schedulability Analysis
Johnsen, Einar Broch
. This research is partly funded by the EU projects IST-33826 CREDO: Modeling and Analysis of Evolutionary Structures for Distributed Services (http://credo.cwi.nl) and FP7-231620 HATS: Highly Adaptable and Trust
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...
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 In this project we have performed spatial analysis of groundwater data in Thane and Latur districts of Maharashtra Groundwater Survey and Development Agency, Maharashtra), shape files for watershed boundaries and drainage
Paris-Sud XI, Université de
Sensitivity analysis of conceptual model calibration to initialisation bias. Application to karst models. The propagation of uncertainty in the initial conditions is shown to depend on both model associated with long-term memory reservoir and fast discharge models, they may generate a substantial
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...
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.
Critical National Infrastructure Reliability Modeling and Analysis
. · Telecommunications: Congestion or disruption of key communications nodes by fire, wind, water, or sabotage · Power of Homeland Security is protection of our critical national infrastructures including power, communications, transportation, and water. This paper presents models to quantify the interdependencies of critical
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
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
Fair Internet traffic integration: network flow models and analysis
Kelly, Frank
Fair Internet traffic integration: network flow models and analysis Peter Key, Laurent Massoulié the integration of two types of Internet traffic, elastic file transfers and streaming traffic. Previous studies have concentrated on just one type of traffic, such as the flow level models of Internet congestion
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
Mixture Modeling and Outlier Detection in Microarray Data Analysis
George, Nysia I.
2010-01-16T23:59:59.000Z
. . . . . . . . . . . . . . . . . . . . . . . . . . 55 6.2 Data Description . . . . . . . . . . . . . . . . . . . . . . . 56 6.3 Data Normalization . . . . . . . . . . . . . . . . . . . . . . 57 6.4 Colon Cancer Microarray Data Analysis . . . . . . . . . . 60 VII CONCLUSION..., D. and Lin, X. (2002). Hypothesis testing in semipara- metric additive mixed models. Biostatistics 4, 57?74. Zhang, D., Lin, X., Raz, J., and Sowers, M. (1998). Semipara- metric stochastic mixed models for longitudinal data. Journal of the American...
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
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
Modeling and Analysis of WAP Performance over Wireless Links
Shen, Xuemin "Sherman"
Modeling and Analysis of WAP Performance over Wireless Links Humphrey Rutagemwa, Student Member the performance behaviors of wireless application protocol (WAP) over wireless links is proposed. A Rayleigh fading channel model is used to characterize the behaviors of wireless channel. Mathematical expressions
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
Multilayer Network Model for Analysis and Management of Change Propagation
de Weck, Olivier L.
1 Multilayer Network Model for Analysis and Management of Change Propagation Michael C. Pasqual · Olivier L. de Weck Abstract A pervasive problem for engineering change management is the phenomenon and management of change propagation using the model. The repository includes a few novel tools and metrics, most
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
A Spatial Analysis of Multivariate Output from Regional Climate Models
Sain, Steve
, Columbus, OH 43210, ncressie@stat.osu.edu. 1 #12;1 Introduction Many processes in the Earth system cannot, etc. Climate models attempt to represent this system, as well as to incorporate anthropogenic forcingsA Spatial Analysis of Multivariate Output from Regional Climate Models Stephan R. Sain,1 Reinhard
Pasko, Victor
Airdensitydependent model for analysis of air heating associated with streamers, leaders), Airdensitydependent model for analysis of air heating associated with streamers, leaders, and transient luminous
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.
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
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.
On two-sample data analysis by exponential model
Choi, Sujung
2005-11-01T23:59:59.000Z
............... 49 5.1.Introduction......................... 49 5.2. Radon Cancer Data . . . . . . . . . . . . . . . . . . . . . 49 5.3. Explanatory Data Analysis . . . . . . . . . . . . . . . . . 51 5.4. Two-sample Data Analysis Using Exponential Model Approach... .......................... 51 5.5. Summary and Discussion: Radon Cancer Data . . . . . . 53 5.6. Simulation Results . . . . . . . . . . . . . . . . . . . . . 63 5.6.1. Case 1: Same Distributions, Same Locations, andSameScales................... 65 5.6.2. Case 2: Same Locations...
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.
Building Information Modeling (BIM)-Based Daylighting Simulation and Analysis
Kota, S.; Haberl, J.S.; Clayton, M.; Yan, W.
2014-01-01T23:59:59.000Z
ESL-PA-14-07-03 Building Information Modeling (BIM)-Based Daylighting Simulation and Analysis Authors: Sandeep Kota; Jeff S. Haberl, Ph.D.; Mark J. Clayton, Ph.D.; Wei Yan, Ph.D. Corresponding Author: Wei Yan, Ph.D. Telephone: 1 979 8450584.... Email: wyan@tamu.edu Department of Architecture, Texas A&M University, College Station, Texas. ESL-PA-14-07-03 Building Information Modeling (BIM)-Based Daylighting Simulation and Analysis Abstract: Daylighting is an important aspect...
Water Rights Analysis Package (WRAP) Modeling System Reference Manual
Wurbs, Ralph A.
2003-01-01T23:59:59.000Z
) Modeling System Reference Manual by Ralph A. Wurbs Civil Engineering Department Texas A&M University TR-255 Texas Water Resources Institute College Station, Texas August 2003 Water Rights Analysis Package (WRAP) Modeling System Reference Manual Prepared... by Ralph A. Wurbs Professor Department of Civil Engineering Texas A&M University College Station, Texas 77843-3136 for the Texas Commission on Environmental Quality Austin, Texas 78711-3087 under TCEQ/TWRI Contract No. 9880074800 with Supplemental...
Water Rights Analysis Package (WRAP) Daily Modeling System
Wurbs, R.; Hoffpauir, R.
2012-10-01T23:59:59.000Z
Modeling System TR-430 Texas Water Resources Institute College Station, Texas August 2012 by Ralph A. Wurbs and Richard J. Hoffpauir Texas A&M University Water Rights Analysis Package (WRAP) Daily Modeling System...-9-89809 (2008-2011) Contract 582-12-10220 (2011-2013) Technical Report No. 430 Texas Water Resources Institute The Texas A&M University System College Station, Texas 77843-2118 August 2012 ii iii TABLE OF CONTENTS Chapter 1 Water...
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.
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
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
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
Data Modelling for Analysis of Adaptive Changes in Fly Photoreceptors
Juusola, Mikko
describe accurately the observed adaptation process at each new level of changing light inputs. GeneralizedData Modelling for Analysis of Adaptive Changes in Fly Photoreceptors Uwe Friederich1,2 , Daniel://www.shef.ac.uk/acse Abstract. Adaptation is a hallmark of sensory processing. We studied neural adaptation in intracellular
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...
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
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.
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.
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.
Formal Modelling and Analysis of Business Information Applications with Fault Tolerant Middleware
Southampton, University of
COMPUTING SCIENCE Formal Modelling and Analysis of Business Information Applications with Fault to prove properties of models of business protocols and expose weaknesses of certain middleware.. Formal Modelling and Analysis of Business Information Applications with Fault Tolerant Middleware [By] J
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...
Integration of Facility Modeling Capabilities for Nuclear Nonproliferation Analysis
Humberto E. Garcia
2012-01-01T23:59:59.000Z
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.
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 betweenĂPhysically-based vision, deformable models, nonrigid motion analysis, biomedical applications, finite element analysis. Ă¦
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.
Modeling air pollution in the Tracking and Analysis Framework (TAF)
Shannon, J.D.
1998-12-31T23:59:59.000Z
The Tracking and Analysis Framework (TAF) is a set of interactive computer models for integrated assessment of the Acid Rain Provisions (Title IV) of the 1990 Clean Air Act Amendments. TAF is designed to execute in minutes on a personal computer, thereby making it feasible for a researcher or policy analyst to examine quickly the effects of alternate modeling assumptions or policy scenarios. Because the development of TAF involves researchers in many different disciplines, TAF has been given a modular structure. In most cases, the modules contain reduced-form models that are based on more complete models exercised off-line. The structure of TAF as of December 1996 is shown. Both the Atmospheric Pathways Module produce estimates for regional air pollution variables.
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.
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.
Water Rights Analysis Package (WRAP) Modeling System Users Manual
Wurbs, Ralph A.
2005-01-01T23:59:59.000Z
System Users Manual by Ralph A. Wurbs Civil Engineering Department Texas A&M University TR-256 Texas Water Resources Institute College Station, Texas April 2005 Water Rights Analysis Package (WRAP) Modeling System Users Manual... The Texas A&M University System College Station, Texas 77843-2118 First Edition, August 2003 Second Edition, April 2005 Mention of a trademark or a proprietary product does not constitute a guarantee or a warranty of the product by the Texas...
Hydrogen Demand and Resource Analysis (HyDRA) 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 on Delicious Rank EERE:Department ofFormer Worker/EnergySteeringResidential BuildingsHowScenario Analysis Model
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
Comparative analysis of existing models for power-grid synchronization
Nishikawa, Takashi
2015-01-01T23:59:59.000Z
The dynamics of power-grid networks is becoming an increasingly active area of research within the physics and network science communities. The results from such studies are typically insightful and illustrative, but are often based on simplifying assumptions that can be either difficult to assess or not fully justified for realistic applications. Here we perform a comprehensive comparative analysis of three leading models recently used to study synchronization dynamics in power-grid networks -- a fundamental problem of practical significance given that frequency synchronization of all power generators in the same interconnection is a necessary condition for a power grid to operate. We show that each of these models can be derived from first principles within a common framework based on the classical model of a generator, thereby clarifying all assumptions involved. This framework allows us to view power grids as complex networks of coupled second-order phase oscillators with both forcing and damping terms. U...
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.
Fuel-Cycle Energy and Emissions Analysis with the GREET Model...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Fuel-Cycle Energy and Emissions Analysis with the GREET Model Fuel-Cycle Energy and Emissions Analysis with the GREET Model 2009 DOE Hydrogen Program and Vehicle Technologies...
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...
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
New Seismic Model Will Refine Hazard Analysis at U.S. Nuclear...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
New Seismic Model Will Refine Hazard Analysis at U.S. Nuclear Plants New Seismic Model Will Refine Hazard Analysis at U.S. Nuclear Plants January 31, 2012 - 2:09pm Addthis The...
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)...
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
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.
Bak, Claus Leth
Aalborg Universitet Harmonic Resonances in Wind Power Plants: Modeling, Analysis and Active. (2015). Harmonic Resonances in Wind Power Plants: Modeling, Analysis and Active Mitigation Methods from vbn.aau.dk on: juli 04, 2015 #12;Harmonic Resonances in Wind Power Plants: Modeling, Analysis
Modeling, analysis and control of quantum electronic devices
Zhang, Zhigang
2009-06-02T23:59:59.000Z
? = 1?2(|0?+|1?), H|1? = 1?2(|0??|1?), or H = 1?2 ? ?? 1 1 1 ?1 ? ??. 3. One-qubit phase gate R?: R?|0? = |0?, R?|1? = ei?|1?, or R? = ? ?? 1 0 0 ei? ? ??. 8 4. Two-qubit controlled-NOT (CNOT) gate ?1: ?1|00? = |00?, ?1|01? = |01?, ?1|10? = |11?, ?1... OF PHILOSOPHY Approved by: Chair of Committee, Goong Chen Committee Members, Philip Hemmer J. Maurice Rojas Joe Pasciak Head of Department, Al Boggess August 2006 Major Subject: Mathematics iii ABSTRACT Modeling, Analysis and Control of Quantum Electronic...
2014 WIND POWER PROGRAM PEER REVIEW-ANALYSIS & 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 Data Center Home Page on Delicious RankShale_Gas.pdfService on the TargetFY12 DOE - CERTSof Energy FossilDepartment2014Analysis and Modeling
Policy Analysis Modeling System (PAMS) | Open Energy Information
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 on DeliciousPlasmaPLawrence County,1980) | OpenAl.,PetroAsia EnergyPocatello, Idaho: EnergyPolicy Analysis Modeling System
Material model calibration through indentation test and stochastic inverse analysis
Buljak, Vladimir
2015-01-01T23:59:59.000Z
Indentation test is used with growing popularity for the characterization of various materials on different scales. Developed methods are combining the test with computer simulation and inverse analyses to assess material parameters entering into constitutive models. The outputs of such procedures are expressed as evaluation of sought parameters in deterministic sense, while for engineering practice it is desirable to assess also the uncertainty which affects the final estimates resulting from various sources of errors within the identification procedure. In this paper an experimental-numerical method is presented centered on inverse analysis build upon data collected from the indentation test in the form of force-penetration relationship (so-called indentation curve). Recursive simulations are made computationally economical by an a priori model reduction procedure. Resulting inverse problem is solved in a stochastic context using Monte Carlo simulations and non-sequential Extended Kalman filter. Obtained re...
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.
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.
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
Modeling capsid self-assembly: Design and analysis
D. C. Rapaport
2010-06-22T23:59:59.000Z
A series of simulations aimed at elucidating the self-assembly dynamics of spherical virus capsids is described. This little-understood phenomenon is a fascinating example of the complex processes that occur in the simplest of organisms. The fact that different viruses adopt similar structural forms is an indication of a common underlying design, motivating the use of simplified, low-resolution models in exploring the assembly process. Several versions of a molecular dynamics approach are described. Polyhedral shells of different sizes are involved, the assembly pathways are either irreversible or reversible, and an explicit solvent is optionally included. Model design, simulation methodology and analysis techniques are discussed. The analysis focuses on the growth pathways and the nature of the intermediate states, properties that are hard to access experimentally. Among the key observations are that efficient growth proceeds by means of a cascade of highly reversible stages, and that while there are a large variety of possible partial assemblies, only a relatively small number of strongly bonded configurations are actually encountered.
Yield Modeling and Analysis of a Clockless Asynchronous Wave Pipeline with Pulse Faults
Ayers, Joseph
Yield Modeling and Analysis of a Clockless Asynchronous Wave Pipeline with Pulse Faults T. Feng fault model and its modeling and analysis methods in a clockless asynchronous wave pipeline fault rate model for establishing a sound theoretical foundation for clockless wave pipeline design
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.
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 ...
RIVERWARE'S INTEGRATED MODELING AND ANALYSIS TOOLS FOR LONG-TERM PLANNING UNDER UNCERTAINTY
RIVERWARE'S INTEGRATED MODELING AND ANALYSIS TOOLS FOR LONG- TERM PLANNING UNDER UNCERTAINTY and reservoir operations under hydrologic uncertainty benefits from modeling capabilities that include 1-objective river and reservoir modeling tool that can represent various planning alternatives and easily run
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 ...
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
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.
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.
Dual-use tools and systematics-aware analysis workflows in the ATLAS Run-2 analysis model
FARRELL, Steven; The ATLAS collaboration; Calafiura, Paolo; Delsart, Pierre-Antoine; Elsing, Markus; Koeneke, Karsten; Krasznahorkay, Attila; Krumnack, Nils; Lancon, Eric; Lavrijsen, Wim; Laycock, Paul; Lei, Xiaowen; Strandberg, Sara Kristina; Verkerke, Wouter; Vivarelli, Iacopo; Woudstra, Martin
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 paper will cover the details of the dual-use tool functionality, the systematics interface, and how these features fit into a centrally supported analysis environment.
Modeling and Analysis of AGS (1998) Thermal Shock Experiments
Haines, J.R.; Kim, S.H.; Taleyarkhan, R.P.
1999-11-14T23:59:59.000Z
An overview is provided on modeling and analysis of thermal shock experiments conducted during 1998 with high-energy, short-pulse energy deposition in a mercury filled container in the Alternating Gradient Synchrotron (AGS) facility at Brookhaven National Laboratory (BNL). The simulation framework utilized along with the results of simulations for pressure and strain profiles are presented. While the magnitude of penk strain predictions versus data are in reasonable agreement, the temporal variations were found to differ significantly in selected cases, indicating lack of modeling of certain physical phenomena or due to uncertainties in the experimental data gathering techniques. Key thermal-shock related issues and uncertainties are highlighted. Specific experiments conducted at BNL's AGS facility during 1998 (the subject of this paper) involved high-energy (24 GeV) proton energy deposition in the mercury target over a time frame of - 0.1s. The target consisted of an - 1 m. long cylindrical stainless steel shell with a hemispherical dome at the leading edge. It was filled with mercury at room temperature and pressure. Several optical strain gages were attached to the surface of the steel target. Figure 1 shows a schematic representation of the test vessel along with the main dimensions and positions of three optical strain gages at which meaningful data were obtained. As
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...
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
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...
Modeling and Analysis of Large-Scale On-Chip Interconnects
Feng, Zhuo
2010-07-14T23:59:59.000Z
dimensional process-voltage-temperature (PVT) variations demand much more modeling and analysis efforts than ever before, while the analysis of large scale on-chip interconnects that requires solving tens of millions of unknowns imposes great challenges...
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
Failure Analysis and Reliability Model Development for Microsystems-Enabled Photovoltaics
--photovoltaic cells, solar energy, reliability, failure analysis, thin film devices, silicon I. INTRODUCTIONFailure Analysis and Reliability Model Development for Microsystems- Enabled Photovoltaics Benjamin, 87185, USA Abstract -- Microsystems-enabled photovoltaics (MEPV) has great potential to meet increasing
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
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.
Toward a Security Domain Model for Static Analysis and Verification of Information Systems
Toward a Security Domain Model for Static Analysis and Verification of Information Systems Alan Shaffer, Mikhail Auguston, Cynthia Irvine, Tim Levin Computer Science Department Naval Postgraduate School
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 ˝ scale SGM, whose data were ta
Modeling and analysis of a maneuvering aircraft and cable towed body with wake effects
Hall, Jacob Thomas
2010-01-01T23:59:59.000Z
This thesis report covers the analysis and modeling of a cable towed endbody that incorporates an aircraft, wake effects, a towline, and a tow body. The aircraft is modeled as a generic tactical aircraft which is able to ...
Analysis and behavioral modeling of the Finite State Machines of the Xpress Transfer Protocol
Madduri, Venkateswara Rao
1994-01-01T23:59:59.000Z
. This research focuses on the analysis and behavioral modeling of the Finite State Machines of the XTP. The simulation language used is the Verilog Hardware Description Language. We have modeled XTP Finite State Machines as a set of communicating, concurrent...
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 ...
Bardhan, Jaydeep Porter, 1978-
2006-01-01T23:59:59.000Z
This thesis presents a set of numerical techniques that extend and improve computational modeling approaches for biomolecule analysis and design. The presented research focuses on surface formulations of modeling problems ...
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
Modeling and analysis of an ultra-stable subluminal laser
Zhou, Zifan; Zhou, Minchuan; Wang, Ye; Heifetz, Alexander; Shahriar, Selim M
2015-01-01T23:59:59.000Z
We describe a subluminal laser which is extremely stable against perturbations. It makes use of a composite gain spectrum consisting of a broad background along with a narrow peak. The stability of the laser, defined as the change in frequency as a function of a change in the cavity length, is enhanced by a factor given by the group index, which can be as high as 105 for experimentally realizable parameters. We also show that the fundamental linewidth of such a laser is expected to be smaller by the same factor. We first present an analysis where the gain profile is modeled as a superposition of two Lorentzian functions. We then present a numerical study based on a physical scheme for realizing the composite gain profile. In this scheme, the broad gain is produced by a high pressure buffer-gas loaded cell of rubidium vapor. The narrow gain is produced by using a Raman pump in a second rubidium vapor cell, where optical pumping is used to produce a Raman population inversion. We show close agreement between th...
Integration of facility modeling capabilities for nuclear nonproliferation analysis
Burr, Tom [Los Alamos National Laboratory (LANL); Gorensek, M. B. [Savannah River National Laboratory (SRNL); Krebs, John [Argonne National Laboratory (ANL); Kress, Reid L [ORNL; Lamberti, Vincent [Y-12 National Security Complex; Schoenwald, David [ORNL; Ward, Richard C [ORNL
2012-01-01T23:59:59.000Z
Developing automated methods for data collection and analysis that can facilitate nuclearnonproliferation assessment is an important research area with significant consequences for the effective global deployment of nuclear energy. Facilitymodeling 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 facilitymodeling 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 facilitymodelingcapabilities and illustrates how they could be integrated and utilized for nonproliferationanalysis. The inverse problem of inferring facility conditions based on collected observations is described, along with a proposed architecture and computer framework for utilizing facilitymodeling tools. After considering a representative sampling of key facilitymodelingcapabilities, the proposed integration framework is illustrated with several examples.
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.
Thermal analysis and air flow modelling of electrical machines
Chong, Yew Chuan
2015-06-29T23:59:59.000Z
Thermal analysis is an important topic that can affect the electrical machine performance, reliability, lifetime and efficiency. In order to predict the electrical machine thermal performance accurately, thermal 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 ...
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
Sensitivity analysis of a dynamic model for submerged arc silicon furnaces.
Foss, Bjarne A.
Sensitivity analysis of a dynamic model for submerged arc silicon furnaces. B. F. Lund1 , B. A for a dynamic model of submerged arc silicon furnaces. The model we study, called "Simod", was developed updating a nonlinear, dynamic model of a silicon furnace. We have identified a parameter set that has
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
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
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.
A SIMULATION MODEL FOR CANADA-US CLIMATE POLICY ANALYSIS
gas emissions; carbon tax; energy consumption; energy supply; energy trade Subject Terms: Climatic climate change requires sophisticated energy-economy models. This research is a step towards the integration of bottom-up technology models and top-down macroeconomic models. A simulation model of the energy
Application of Bayesian Hierarchical Models in Genetic Data Analysis
Zhang, Lin
2012-08-15T23:59:59.000Z
: : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 4 2.1 Introduction : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 4 2.2 Probability Model : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 7 2.2.1 Bayesian Gaussian Graphical Models : : : : : : : : : : : : : : 8 2....2.2 Hierarchical Model : : : : : : : : : : : : : : : : : : : : : : : : 10 2.2.3 GO-based Prior for G : : : : : : : : : : : : : : : : : : : : : : 11 2.3 Model Selection Using False Discovery Rates : : : : : : : : : : : : : : 13 2.4 Simulation Study...
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
Economics Definitions, Methods, Models, and Analysis Procedures for Homeland Security Applications
Economics Definitions, Methods, Models, and Analysis Procedures for Homeland Security Applications, Programmer Computational Economics Group January 29, 2010 SAND2010-4315 #12;2 This page intentionally blank #12;3 Economics Definitions, Methods, Models, and Analysis Procedures for Homeland Security
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.
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
Analysis and Reduction of Power Grid Models under Uncertainty Sandia National Laboratories
Levi, Anthony F. J.
1.30pm Analysis and Reduction of Power Grid Models under Uncertainty Habib Najm Sandia National Laboratories Abstract The increased utilization of alternative energy sources requires that evolving power grid Uncertainty Eigenproblem Closure Analysis and Reduction of Power Grid Models under Uncertainty H.N. Najm
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 MarĂa JosĂ© 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
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.
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
3D MEMS Simulation Modeling Using Modified Nodal Analysis J. V. Clark, N. Zhou, D. Bindel,
California at Berkeley, University of
3D MEMS Simulation Modeling Using Modified Nodal Analysis J. V. Clark, N. Zhou, D. Bindel, L, and experimental verification of several MEMS devices are presented. Simulated results include 3D mode analysis. To simulate the performance of these MEMS devices a modified nodal analysis approach is used to formulate
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
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.
Hydrogen Technology Analysis: H2A Production Model Update (Presentation)
Ramsden, T.
2007-05-15T23:59:59.000Z
This presentation by Todd Ramsden at the 2007 DOE Hydrogen Program Annual Merit Review Meeting provides information about NREL's hydrogen technology analysis activities.
H2A Hydrogen Delivery Infrastructure Analysis Models and Conventional...
Broader source: Energy.gov (indexed) [DOE]
An in-depth comparative analysis of promising infrastructure options for hydrogen delivery and distribution to refueling stations from central, semi-central, and distributed...
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 ...
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
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
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.
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.
Paper No. 9.06 1 NEWMARKIAN ANALYSIS OF LIQUEFIED FLOW IN CENTRIFUGE MODEL
Haigh, Stuart
Paper No. 9.06 1 NEWMARKIAN ANALYSIS OF LIQUEFIED FLOW IN CENTRIFUGE MODEL EARTHQUAKES S.K. Haigh S-pressure history either predicted using a suitable constitutive model, or measured during a centrifuge or shaking displacements using this procedure and displacements measured in centrifuge model tests with the same pore
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
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
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
Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models
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
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
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
PowerPerformance Modeling and Tradeoff Analysis for a High End Microprocessor
Singh, Jaswinder Pal
PowerÂPerformance Modeling and Tradeoff Analysis for a High End Microprocessor David Brooks@us.ibm.com Abstract We describe a new powerÂperformance modeling toolkit, developed to aid in the evaluation and definiÂ tion of future powerÂefficient, PowerPC TM processors. The base performance models in use
A Model-Driven Approach to Service Performance Prediction and Analysis
de Lara, Juan
the analysis or simulation of the original model. An important issue in systems validation, and in particular, to identify performance bottlenecks and load limits. If this activity is done in the modelling phase BPEL [A07] models, which are annotated by a profiling engineer with performance estimations
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
Monte Carlo Adaptive Technique for Sensitivity Analysis of a Large-scale Air Pollution Model
Dimov, Ivan
Monte Carlo Adaptive Technique for Sensitivity Analysis of a Large-scale Air Pollution Model Ivan of input parameters contribution into output variability of a large- scale air pollution model]. This model simulates the transport of air pollutants and has been developed by Dr. Z. Zlatev and his
Lurking Pathway Prediction And Pathway ODE Model Dynamic Analysis
Zhang, Rengjing
2013-11-18T23:59:59.000Z
Signaling pathway analysis is so important to study the causes of diseases and the treatment of drugs. Finding the lurking pathway from ligand to signature is a significant issue in studying the mechanism of how the cell response...
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 ...
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
Sandia National Laboratories: Techno-Economic Modeling, Analysis...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
* techno-economic modeling Comments are closed. Renewable Energy Wind Energy Wind Plant Optimization Test Site Operations & Maintenance Safety: Test Facilities Capital Equipment...
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.
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
Bohr model and dimensional scaling analysis of atoms and molecules
Urtekin, Kerim
2007-04-25T23:59:59.000Z
and applications the implementation of a simple and successful extension of BohrĂ˘Â?Â?s planetary model of the hydrogenic atom, which has recently been developed by an atomic and molecular theory group from Texas A&M University. This Ă˘Â?ÂťextendedĂ˘Â?Âť Bohr model...
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.
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.
SIMULATION, MODELING AND ANALYSIS OF A WATER TO AIR
Implementation......................................................15 3. OVERVIEW OF ENERGYPLUS pumps in EnergyPlus.........................................20 3.3.1. Water to air heat pump simulation.4. Implementing water-to-air heat pump models in EnergyPlus..................22 iv #12;4. MODEL DEVELOPMENT
Cognitive Modeling Formulation and Analysis of Dynamic Systems
Bremen, Universität
trajectories produced by a local generator. #12;7 Logistic Growth Model Define p(t) as the probability affects the output (or, vice-versa, what inputs should be given to generate a desired output for the n-element binary valued lists. The state space of a brain model is the set of points contained
Equalized on-chip interconnect : modeling, analysis, and design
Kim, Byungsub, 1978-
2010-01-01T23:59:59.000Z
This thesis work explores the use of equalization techniques to improve throughput and reduce power consumption of on-chip interconnect. A theoretical model for an equalized on-chip interconnect is first suggested to provide ...
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...
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.
Parallel and Statistical Analysis and Modeling of Nanometer VLSI Systems
Liu, Xue-Xin
2013-01-01T23:59:59.000Z
4 MOR and GPU based power grid simulation 4.14.2.1 The problem of power grid simulation . . . . . 4.2.2An RLC model of power grid network. . . . .
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, ...
Application of Finite Mixture Models for Vehicle Crash Data Analysis
Park, Byung Jung
2010-07-14T23:59:59.000Z
Developing sound or reliable statistical models for analyzing vehicle crashes is very important in highway safety studies. A difficulty arises when crash data exhibit overdispersion. Over-dispersion caused by unobserved ...
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 ...
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...
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...
Modeling, analysis and simulation of "AC inductor" based converters
for current sourcing applications, such as battery chargers, where differences between the average input.g. 2-8]. II. LARGE SIGNAL ANALYSIS OF THE "AC INDUCTOR" BASED CHARGERS To describe the behavior of AC inductor topologies, we first consider the non-isolated charger shown in Fig. 1. Isolation can be obtained
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 ...
A Model-Theoretic Approach to Ordinal Analysis
Avigad, Jeremy
by Kot- larski and Ratajczyk (see [14, 19]). As a by-product, these methods also provide natural of an -large set of natural numbers. In con- trast to syntactic approaches that use cut elimination, and the extraction of constructive information from classical proofs. Since Gentzen, ordinal analysis has been
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...
The creation of a courtyard microclimate thermal model for the analysis of courtyard houses
Bagneid, Amr
2009-05-15T23:59:59.000Z
thermal simulation factors: air change rates, thermal mass, solar absorption, wall and floor emissivity, ground temperature, cloud cover, and ambient air temperature. The results of the parametric analysis showed that the model was sensitive to variations...
CBE UFAD cost analysis tool: Life cycle cost model, issues and assumptions
Webster, Tom; Benedek, Corinne; Bauman, Fred
2008-01-01T23:59:59.000Z
Building Maintenance and Repair Cost Reference. ” WhitestoneJ. Wallis and H. Lin. 2008. “CBE UFAD Cost Analysis Tool:UFAD First Cost Model, Issues and Assumptions. ” Center for
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 ...
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...
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 2 20874 By Water Resources and Environmental Engineering Program Department of Civil Engineering North................................................................................................................. 5 2. CHEMISTRY OF NOX COMBUSTION AND THE ATMOSPHERE ....................................... 9 2
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...
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
Mixture Modeling and Outlier Detection in Microarray Data Analysis
George, Nysia I.
2010-01-16T23:59:59.000Z
of replication in gene expression data (Nguyen et al., 2002). In order to assess the agreement between measurements from microarray data collected from the same subject we use the intraclass correlation coe?cient as a reliability index (Carrasco and Jover, 2002...-modeling in bioinformatic research is not new. Researchers have devoted much attention to methodology that can appropriately separate gene expressions into meaningful groups. Allison et al. (2002) and Ji et al. (2005) use beta-mixture modeling to describe distributional...
Design theoretic analysis of three system modeling frameworks.
McDonald, Michael James
2007-05-01T23:59:59.000Z
This paper analyzes three simulation architectures from the context of modeling scalability to address System of System (SoS) and Complex System problems. The paper first provides an overview of the SoS problem domain and reviews past work in analyzing model and general system complexity issues. It then identifies and explores the issues of vertical and horizontal integration as well as coupling and hierarchical decomposition as the system characteristics and metrics against which the tools are evaluated. In addition, it applies Nam Suh's Axiomatic Design theory as a construct for understanding coupling and its relationship to system feasibility. Next it describes the application of MATLAB, Swarm, and Umbra (three modeling and simulation approaches) to modeling swarms of Unmanned Flying Vehicle (UAV) agents in relation to the chosen characteristics and metrics. Finally, it draws general conclusions for analyzing model architectures that go beyond those analyzed. In particular, it identifies decomposition along phenomena of interaction and modular system composition as enabling features for modeling large heterogeneous complex systems.
An analysis of humor orientation on Facebook: A lens model approach
Pennington, Natalie; Hall, Jeffrey A.
2014-02-01T23:59:59.000Z
This article presents the results of a mixed method analysis of the use and perception of humor orientation (HO) on Facebook (FB) profiles (N?=?100). Results of the lens model analysis suggest that a variety of profile cues, not just those directly...
Post-Click Conversion Modeling and Analysis for Non-Guaranteed Delivery Display Advertising
Rosales, Rómer E.
Post-Click Conversion Modeling and Analysis for Non-Guaranteed Delivery Display Advertising Rómer advertising, the click-trough rate (CTR) has been traditionally a key measure of ad/ cam- paign effectiveness advertising. In particular we focus on the post-click conversion (PCC) problem or the analysis of con
Modeling for Seasonal Marked Point Processes: An Analysis of Evolving Hurricane Occurrences
Kottas, Athanasios
Modeling for Seasonal Marked Point Processes: An Analysis of Evolving Hurricane Occurrences Sai and for the conditional mark distribution. The motivating application involves the analysis of hurricane landfalls the evolution of the intensity of the process of hurricane landfall occurrences, and the respective maximum wind
Linear Compositional Delay Model for the Timing Analysis of Sub-Powered Combinational Circuits
Linear Compositional Delay Model for the Timing Analysis of Sub-Powered Combinational Circuits the propagation delay through nanometer CMOS circuits is highly desirable. Statistical Static Timing Analysis to accurately capture the circuit behaviour. In view of this we introduce an Inverse Gaussian Distribution (IGD
A Model of the Statistical Power of Comparative Genome Sequence Analysis
Eddy, Sean
A Model of the Statistical Power of Comparative Genome Sequence Analysis Sean R. Eddy Howard Hughes, Missouri, United States of America Comparative genome sequence analysis is powerful, but sequencing genomes is expensive. It is desirable to be able to predict how many genomes are needed for comparative genomics
A model of the statistical power of comparative genome sequence analysis
Eddy, Sean
A model of the statistical power of comparative genome sequence analysis Sean R. Eddy Howard Hughes genome sequence analysis is powerful, but sequencing genomes is expensive. It is desirable to be able to predict how many genomes are needed to achieve a particular statistical power in comparative analyses
Analysis, Modeling and Neural Network Traction Control of an Electric Vehicle
Paris-Sud XI, Université de
, they have great advantages over internal combustion engine vehicles such as quick torque response, J. Ghouili and K. Srairi Abstract--This paper presents system analysis, modeling and simulation is proposed to estimate the vehicle speed. In terms of the analysis and the simulations carried out
Modeling and Analysis of Thread-Pools ? in an Industrial Communication Platform
Yi, Wang
the use of the Credo tool suite in order to capture the various aspects of thread pools and provide a general framework for their analysis. The Credo tool suite offers a methodology for the top-down design by the EU-project IST-33826 Credo: Modeling and analysis of evolutionary structures for distributed services
Models and Analysis of Wire Explosions Using TRAC II Simulations
Pekker, A.; Reisman, D.B.
1999-09-10T23:59:59.000Z
In order to understand the dynamics of Z-pinch imposions of thin wires in pulse-power accelerators, it is necessary to understand the physical process by which the initially solid wires are converted into plasma by rising current. For this purpose, we model wire explosions using TRAC II, a two-dimensional MHD code, in three distinct cases: pure tungsten, impure tungsten, and gold-plated tungsten. We compare our results--overall picture of the process, corona linear density, corona mass, and core expansion rate--to actual experiments performed at Sandia National Laboratory and Cornell University and present some explanations for the disagreements between our model and experimental observations. In Chapter 1, we discuss model results for several current waveforms (consisting of a 5 kA 50-150 ns pre-pulse and 80 kA 80 ns main pulse) for a pure tungsten wire, showing that the initial temperature of the wire does not affect the dynamics of the explosion. This suggests that different experimental results for unheated and preheated tungsten wires are due to the expulsion of impurities in the preheated wire and not to a change in the material properties of tungsten. To match the experimental set-up more accurately, we model the explosion of a tungsten wire with impurities in Chapter 2. The overall process predicted by the model agrees with experiment, namely the shunting of the current through the impurities region before tungsten expansion begins; however, quantitative results disagree with experimental observations mostly because of the extreme shunting of the current through the impurities in our model. Finally, in Chapter 3, we compare the explosions in gold-plated tungsten, pure tungsten, and pure gold wires under high (100 kA in 60 ns) and low (2 kA in 270 ns) currents, finding general agreement with experiment in the high-current case and a disagreement by a factor of ten in the low-current case. In addition, due to the similar properties of the two metals, we find no vast differences among the three cases in the high-current case, while the single-metal wire expand faster and farther than the gold-plated wire in the low-current case. We believe that the disagreement between our model and experiment can be decreased by better modeling of tungsten impurities and by improvements in the conductivity and bonding models.
NREL's System Advisor Model Simplifies Complex Energy Analysis (Fact Sheet)
Not Available
2011-10-01T23:59:59.000Z
The energy market is diversifying. In addition to traditional power sources, decision makers can choose among solar, wind, and geothermal technologies as well. Each of these technologies has complex performance characteristics and economics that vary with location and other project specifics, making it difficult to analyze the viability of such projects. But that analysis is easier now, thanks to the National Renewable Energy Laboratory (NREL).
Water Rights Analysis Package (WRAP) Modeling System Programming Manual
Wurbs, R.; Hoffpauir, R.
2012-10-01T23:59:59.000Z
Package (WRAP) Programming Manual TR-388 Texas Water Resources Institute College Station, Texas August 2012 by Ralph A. Wurbs and Richard J. Hoffpauir Texas A&M University Water Rights Analysis Package (WRAP...-2013) Technical Report 388 Texas Water Resources Institute The Texas A&M University System College Station, Texas 77843-2118 Second Edition August 2012 iii TABLE OF CONTENTS Chapter 1 Introduction...
Structural Modeling and Analysis of Structures in Aorta Images
Xu, Hai
2012-10-19T23:59:59.000Z
). ........................ 10 Figure 4. A synthetic binary image consisting of five sinusoidal curves was used to verify the accuracy of my Radon Transform (RT) algorithm. ............ 14 Figure 5. Computed angle for the principal (circumferential) direction estimated...) thickness across the arterial wall. In this dissertation, I propose an image analysis scheme to delineate spatial patterns of EL such as changes in its thickness across the arterial wall. Key features of my scheme include: 1) a Radon Transform based...
CIMS: A FRAMEWORK FOR INFRASTRUCTURE INTERDEPENDENCY MODELING AND ANALYSIS
Donald D. Dudenhoeffer; May R. Permann; Milos Manic
2006-12-01T23:59:59.000Z
Today’s society relies greatly upon an array of complex national and international infrastructure networks such as transportation, utilities, telecommunication, and even financial networks. While modeling and simulation tools have provided insight into the behavior of individual infrastructure networks, a far less understood area is that of the interrelationships among multiple infrastructure networks including the potential cascading effects that may result due to these interdependencies. This paper first describes infrastructure interdependencies as well as presenting a formalization of interdependency types. Next the paper describes a modeling and simulation framework called CIMS© and the work that is being conducted at the Idaho National Laboratory (INL) to model and simulate infrastructure interdependencies and the complex behaviors that can result.
Water Rights Analysis Package (WRAP) Model Description and User's Manual
Wurbs, Ralph A.; Dunn, David D.
and presentation of the voluminous simulation output data and (2) modeling a compre- hensive range of multiple-reservoir, multiple-purpose system operating strategies. Model develop- ment and application to the Brazos River Basin are described by Dunn (1993... capabilities for simulating multiple-reservoir, multiple- purpose reservoir system operations. A WRAP2 input data file can also be run with WRAP3. How- ever, a WRAP3 input file may specify optional capabilities which cannot be provided by WRAP2. TABLES can...
Water Rights Analysis Package (WRAP) Modeling System Users Manual
Wurbs, R
2012-10-01T23:59:59.000Z
&M University System College Station, Texas 77843-2118 Ninth Edition August 2012 ii iii TABLE OF CONTENTS Chapter 1 WRAP Modeling System ....................................................................................... 1 WRAP... ............................................................................................................. 19 Hydropower and Reservoir Release (HRR) File ................................................................. 19 Priority Sequence Stream Flow Availability (ZZZ) File .................................................... 20 Yield Versus...
Analysis of a finite element formulation for modelling phase separation
Wells, G N; Garikipati, Krishna
2007-01-01T23:59:59.000Z
The Cahn-Hilliard equation is of importance in materials science and a range of other fields. It represents a diffuse interface model for simulating the evolution of phase separation in solids and fluids, and is a nonlinear fourth-order parabolic...
Modeling an optical magnetometer with electronic circuits Analysis and optimization
6 3.2 Model verification 7 3.3 Different detection scheme in self-oscillation mode 8 3.3.1 Pump-probe arrangement with balanced polarimeter 8 3.3.2 Pump-probe arrangement with nearly-crossed polarizer 9 3, and bandwidths of the sensors, as well as their different sizes, prices, and maintenance costs [1]. Currently
On two-sample data analysis by exponential model
Choi, Sujung
2005-11-01T23:59:59.000Z
density and exponential model. Assume that we have a random sample X1, . . . ,Xm from a continuous distribution F(y) = P(Xi y), i = 1, . . . ,m and a random sample Y1, . . . ,Yn from a continuous distribution G(y) = P(Yi y), i = 1, . . . ,n. Also assume...
High Resolution PV Power Modeling for Distribution Circuit Analysis
Norris, B. L.; Dise, J. H.
2013-09-01T23:59:59.000Z
NREL has contracted with Clean Power Research to provide 1-minute simulation datasets of PV systems located at three high penetration distribution feeders in the service territory of Southern California Edison (SCE): Porterville, Palmdale, and Fontana, California. The resulting PV simulations will be used to separately model the electrical circuits to determine the impacts of PV on circuit operations.
In silico metabolic pathway modeling and analysis of Mycoplasma pneumoniae
or microorganism. This method can be accomplished by step-by-step approach to resolve and verify the uncertainties of the metabolic model [2, 5]. Mycoplasma pneumoniae is a pathogen causing atypical pneumonia in human beings, and pathogenicity related studies have been extensively carried out [3]. Basic studies of M. pneumoniae were
Nuisance Source Population Modeling for Radiation Detection System Analysis
Sokkappa, P; Lange, D; Nelson, K; Wheeler, R
2009-10-05T23:59:59.000Z
A major challenge facing the prospective deployment of radiation detection systems for homeland security applications is the discrimination of radiological or nuclear 'threat sources' from radioactive, but benign, 'nuisance sources'. Common examples of such nuisance sources include naturally occurring radioactive material (NORM), medical patients who have received radioactive drugs for either diagnostics or treatment, and industrial sources. A sensitive detector that cannot distinguish between 'threat' and 'benign' classes will generate false positives which, if sufficiently frequent, will preclude it from being operationally deployed. In this report, we describe a first-principles physics-based modeling approach that is used to approximate the physical properties and corresponding gamma ray spectral signatures of real nuisance sources. Specific models are proposed for the three nuisance source classes - NORM, medical and industrial. The models can be validated against measured data - that is, energy spectra generated with the model can be compared to actual nuisance source data. We show by example how this is done for NORM and medical sources, using data sets obtained from spectroscopic detector deployments for cargo container screening and urban area traffic screening, respectively. In addition to capturing the range of radioactive signatures of individual nuisance sources, a nuisance source population model must generate sources with a frequency of occurrence consistent with that found in actual movement of goods and people. Measured radiation detection data can indicate these frequencies, but, at present, such data are available only for a very limited set of locations and time periods. In this report, we make more general estimates of frequencies for NORM and medical sources using a range of data sources such as shipping manifests and medical treatment statistics. We also identify potential data sources for industrial source frequencies, but leave the task of estimating these frequencies for future work. Modeling of nuisance source populations is only useful if it helps in understanding detector system performance in real operational environments. Examples of previous studies in which nuisance source models played a key role are briefly discussed. These include screening of in-bound urban traffic and monitoring of shipping containers in transit to U.S. ports.
Super-Kamiokande Atmospheric Neutrino Analysis of Matter-Dependent Neutrino Oscillation Models
Tokyo, University of
Super-Kamiokande Atmospheric Neutrino Analysis of Matter-Dependent Neutrino Oscillation Models microform." Signature Date #12;University of Washington Abstract Super-Kamiokande Atmospheric Neutrino of the matter a neutrino passes through. Using the data from Super-Kamiokande-I, Âµ - oscillation models whose
Geosciences: Integrated Analysis for Development of 3D Models of Earth
Ward, Karen
Geosciences: Integrated Analysis for Development of 3D Models of Earth Structure PI: Aaron A Potrillo Seismic Experiment Gravity and Magnetics #12; Joint inversion of several datasets allows Employ optimization schemes to improve current methods Single inversion dataset #2 Improved model
TRNSYS MODELING OF A HYBRID LIGHTING SYSTEM: BUILDING ENERGY LOADS AND CHROMATICITY ANALYSIS
Wisconsin at Madison, University of
TRNSYS MODELING OF A HYBRID LIGHTING SYSTEM: BUILDING ENERGY LOADS AND CHROMATICITY ANALYSIS Frank-Solar Energy Laboratory 1500 Engineering Drive Madison, WI, 53706 USA fwburkholder@wisc.edu ABSTRACT The TRNSYS of the spectral model was necessary to perform building illumination and energy load analyses on a 2500 m2 office
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 and the open Rodin tools platform to prove properties of models of business protocols and expose weaknesses are critical to the func- tioning of many businesses; designing them to be dependable is a challenging
Koutsoukos, Xenofon D.
Biodiesel Sim: Crowdsourcing Simulations for Complex Model Analysis Derek Riley, Xiaowei Zhang Computation, Biodiesel Abstract Biodiesel is an alternative fuel source that can be easily made by novices of the proces- sor. A biodiesel processor is a complex system that can be modeled and simulated using formal
A topological analysis of the magnetic breakout model for an eruptive solar flare
Priest, Eric
A topological analysis of the magnetic breakout model for an eruptive solar flare BY RHONA MACLEAN model gives an elegant explanation for the onset of an eruptive solar flare, involving magnetic types of bifurcation. Keywords: solar flare; magnetic breakout; magnetic topology; solar corona 1
Nagurney, Anna
A Network Equilibrium Framework for Internet Advertising: Models, Qualitative Analysis engaged in Internet advertising among multiple websites. The model allows for the determination of both the equilibrium online advertising budget as well as the advertising expenditures on the different websites. We
1st International Conference on Machine Control & Guidance 2008 1 Generation and Analysis of Digital Terrain Models with Parallel Guidance Systems for Precision Agriculture Görres GRENZDÖRFFER models at no or little additional cost. In the paper the achievable data accuracy under different
1 Bayesian Analysis of a Reduced-Form Air Quality Model 2 Kristen M Foley,*,
Reich, Brian J.
1 Bayesian Analysis of a Reduced-Form Air Quality Model 2 Kristen M Foley,*, Brian J. Reich, North Carolina, United States 5 *S Supporting Information 6 ABSTRACT: Numerical air quality models are being used for assessing emission control 7 strategies for improving ambient pollution levels across
Power Systems Engineering Research Center Modeling, Analysis and Deployment of High PV
Van Veen, Barry D.
Power Systems Engineering Research Center Modeling, Analysis and Deployment of High PV Penetration with field measurements. The model corresponds to an actual PV and DAS installation by Arizona Public Service and about 125 rooftop residential PV systems and two large scale PV systems. The total installed PV capacity
Analysis of Competitive Electricity Markets under a New Model of Real-Time Retail Pricing with
Bhatia, Sangeeta
Analysis of Competitive Electricity Markets under a New Model of Real-Time Retail Pricing with Ex@tum.de Abstract--In this paper, we propose a new real-time retail pricing model characterized by ex and robustness properties than pure exant´e pricing. Index Terms--Real-Time Pricing, Market Stability, Economic
Dinner, Aaron
The Thermodynamics and Kinetics of Protein Folding: A Lattice Model Analysis of Multiple Pathways; In Final Form: May 5, 1999 The kinetics and thermodynamics of folding of a representative sequence of a 125-residue protein model subject to Monte Carlo dynamics on a simple cubic lattice were investigated
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 natural and simple way by using...
Coordination in irrigation systems: An analysis of the Lansing-Kremer model of Bali
Tesfatsion, Leigh
1 Coordination in irrigation systems: An analysis of the Lansing-Kremer model of Bali Marco A@indiana.edu Phone: 812 855 5178 Abstract Farmers within irrigation systems, such as those in Bali, solve complex, synchronization, agent-based model #12;2 1. Introduction The question of whether irrigation systems require
Timevarying coe#cient models for the analysis of air pollution and health outcome data
Bath, University of
Timevarying coe#cient models for the analysis of air pollution and health outcome data Duncan Lee and Gavin Shaddick Abstract In this paper, a timevarying coe#cient model is developed for air pollution and mortality data, which allows for an interaction between the e#ect of air pollution and time. Such temporal e
Analysis of Molten Carbonate Fuel Cell Performance Using a Three-Phase Homogeneous Model
Popov, Branko N.
Analysis of Molten Carbonate Fuel Cell Performance Using a Three-Phase Homogeneous Model N-phase homogeneous model was developed to simulate the performance of the molten carbonate fuel cell MCFC cathode received June 18, 2002. Available electronically November 15, 2002. Molten carbonate fuel cells MCFCs
Realistic Plant Modeling from Images based on Analysis-by-Synthesis
Grigoras, .Romulus
Realistic Plant Modeling from Images based on Analysis-by-Synthesis Anonymous Paper ID 019 Abstract. Plants are essential elements of virtual worlds to get pleas- ant and realistic 3D environments. Even to high complexity of plant topology, dedicated methods for gen- erating 3D plant models must be devised
Computable General Equilibrium Models for the Analysis of Energy and Climate Policies
Wing, Ian Sue
(i) how a model may be cali- brated using the economic data in a social accounting matrix, (ii) how of their size or apparent complexity), the 2 #12;key features of their data base and the calibration methodsComputable General Equilibrium Models for the Analysis of Energy and Climate Policies Ian Sue Wing
Mathematical Analysis of a model describing the invasion of bacteria in burn wounds #
Eindhoven, Technische Universiteit
and references). The rapid development of antibiotic resistance among bacteria has added urgency to the taskMathematical Analysis of a model describing the invasion of bacteria in burn wounds # D. Hilhorst arises as a model for host tissue degradation by bacteria and involves a parameter describing
Analysis and Simulation of a Meso-scale Model of Diffusive Resistance of Bacterial Biofilms to
Demaret, Laurent
Analysis and Simulation of a Meso-scale Model of Diffusive Resistance of Bacterial Biofilms Most bacteria live in biofilm communities, which offer protection against harmful external impacts mathematical model that focuses on the diffusive resistance that a growing biofilm exerts against penetration
Mathematical Analysis of a model describing the invasion of bacteria in burn wounds
Eindhoven, Technische Universiteit
and references). The rapid development of antibiotic resistance among bacteria has added urgency to the taskMathematical Analysis of a model describing the invasion of bacteria in burn wounds D. Hilhorst arises as a model for host tissue degradation by bacteria and involves a parameter describing
Analysis of a Darcy flow model with a dynamic pressure saturation relation \\Lambda
Hulshof, Joost
equations modelling the flow. In the standard approach for two phase flows, such as oilwater or airwater mixtures, one combines the mass conservation equations and Darcy's law for the separate phasesAnalysis of a Darcy flow model with a dynamic pressure saturation relation \\Lambda Josephus Hulshof
Phase Field Dynamic Modelling of Shape Memory Alloys Based on Isogeometric Analysis
Gomez, Hector
Phase Field Dynamic Modelling of Shape Memory Alloys Based on Isogeometric Analysis Rakesh Dhote1 transformations, phase-field model, Ginzburg-Landau theory, nonlinear thermo-elasticity. Abstract. Shape Memory. Introduction Shape Memory Alloys have attracted considerable attention of physicists, engineers and mathemati
FOUNDATION, ANALYSIS, AND NUMERICAL INVESTIGATION OF A VARIATIONAL NETWORK-BASED MODEL FOR RUBBER
Boyer, Edmond
FOUNDATION, ANALYSIS, AND NUMERICAL INVESTIGATION OF A VARIATIONAL NETWORK-BASED MODEL FOR RUBBER, many models based on polymer chain statistics have been proposed to describe rubber elasticity. Recently, Alicandro, Cicalese, and the first author rigorously derived a continuum theory of rubber
NONLINEAR ANALYSIS OF RUBBER-BASED POLYMERIC MATERIALS WITH THERMAL RELAXATION MODELS
Melnik, Roderick
NONLINEAR ANALYSIS OF RUBBER-BASED POLYMERIC MATERIALS WITH THERMAL RELAXATION MODELS R. V. N Queensland, Australia Using mathematical modeling and computer simulation, nonlinear dynamics of rubber in the thermomechanical system. 1. INTRODUCTION The effect of thermal relaxation in rubber-based polymers is one
Water Rights Analysis Package (WRAP) Model Description and User's Manual
Wurbs, Ralph A.; Dunn, David D.
1996-01-01T23:59:59.000Z
to race, ethnic origin, religion, sex, or age. Technical Report No. 146 Texas Water Resources Institute Texas A&M University College Station, Texas 77843-2128 March 1993 Revised October 1996 PREFACE The evolution of the Water Rights Analysis Package (WRAP...-feet in 598 reservoirs. Municipal, industrial, irrigation, mining, and recre- ation uses account for 51%, 29%, 19%, 1%, and 0.1% of the permitted diversions. The two hydroelec- tric power plants on the Brazos River have no priority water rights. The studies...
Gross-Neveu and Thirring models. Covariant Gaussian analysis
Rosenstein, B.; Kovner, A.
1989-07-15T23:59:59.000Z
Two-dimensional fermionic theories, the SU(/ital N/) Gross-Neveu and themassive Thirring models, are analyzed in the covariant Gaussian approximation.In the Gross-Neveu model we find three phases (renormalizations). In one ofthem the results coincide with the leading order in 1//ital N/ expansion. Inthe other two phases the gap equation has no solution and there are nofermionic excitations in the spectrum of the theory. It is argued that thoserenormalizations are relevant for /ital N/=1,2. The massive Thirringmodel is found to possess a line of ultraviolet fixed points. In the limit/ital m//sub /ital b///r arrow/0 the axial symmetry is not broken. The 2/r arrow/2/ital S/-matrix element for the nonasymptotically free phase is calculated andit qualitatively agrees with the exact expression. We also find anasymptotically free phase with vanishing bare coupling.
Thermomechanics of damageable materials under diffusion:modeling and analysis
Tomas Roubicek; Giuseppe Tomassetti
2014-12-16T23:59:59.000Z
We propose a thermodynamically consistent general-purpose model describing diffusion of a solute or a fluid in a solid undergoing possible phase transformations and damage, beside possible visco-inelastic processes. Also heat generation/consumption/transfer is considered. Damage is modelled as rate-independent. The applications include metal-hydrogen systems with metal/hydride phase transformation, poroelastic rocks, structural and ferro/para-magnetic phase transformation, water and heat transport in concrete, and, if diffusion is neglected, plasticity with damage and viscoelasticity, etc. For the ensuing system of partial differential equations and inclusions, we prove existence of solutions by a carefully devised semi-implicit approximation scheme of the fractional-step type.
Modeling, analysis and control of quantum electronic devices
Zhang, Zhigang
2009-06-02T23:59:59.000Z
. . . . . . . . . . . . . . . . . 92 IV FEEDBACK IN COHERENT MAGNETOMETRY . . . . . . . 95 A. Kalman filter and LQG controller . . . . . . . . . . . . . . 95 B. System setup and its model . . . . . . . . . . . . . . . . . 99 C. Results by the Caltech group... setting and theoretical background to quantum computation. In the second part of my dissertation, I will introduce a setup of magnetometry by a Caltech group to test the effect of closed-loop feedback. Initial results show that the feedback makes...
Modeling and Analysis of Solar Radiation Potentials on Building Rooftops
Omitaomu, Olufemi A [ORNL; Kodysh, Jeffrey B [ORNL; Bhaduri, Budhendra L [ORNL
2012-01-01T23:59:59.000Z
The active application of photovoltaic for electricity generation could effectively transform neighborhoods and commercial districts into small, localized power plants. This application, however, relies heavily on an accurate estimation of the amount of solar radiation that is available on individual building rooftops. While many solar energy maps exist at higher spatial resolution for concentrated solar energy applications, the data from these maps are not suitable for roof-mounted photovoltaic for several reasons, including lack of data at the appropriate spatial resolution and lack of integration of building-specific characteristics into the models used to generate the maps. To address this problem, we have developed a modeling framework for estimating solar radiation potentials on individual building rooftops that is suitable for utility-scale applications as well as building-specific applications. The framework uses light detection and ranging (LIDAR) data at approximately 1-meter horizontal resolution and 0.3-meter vertical resolution as input for modeling a large number of buildings quickly. One of the strengths of this framework is the ability to parallelize its implementation. Furthermore, the framework accounts for building specific characteristics, such as roof slope, roof aspect, and shadowing effects, that are critical to roof-mounted photovoltaic systems. The resulting data has helped us to identify the so-called solar panel sweet spots on individual building rooftops and obtain accurate statistics of the variation in solar radiation as a function of time of year and geographical location.
Analysis of spherically symmetric black holes in Braneworld models
A. B. Pavan
2010-05-25T23:59:59.000Z
Research on black holes and their physical proprieties has been active on last 90 years. With the appearance of the String Theory and the Braneworld models as alternative descriptions of our Universe, the interest on black holes, in these context, increased. In this work we studied black holes in Braneworld models. A class of spherically symmetric black holes is investigaded as well its stability under general perturbations. Thermodynamic proprieties and quasi-normal modes are discussed. The black holes studied are the SM (zero mass) and CFM solutions, obtained by Casadio {\\it et al.} and Bronnikov {\\it et al.}. The geometry of bulk is unknown. However the Campbell-Magaard Theorem guarantees the existence of a 5-dimensional solution in the bulk whose projection on the brane is the class of black holes considered. They are stable under scalar perturbations. Quasi-normal modes were observed in both models. The tail behavior of the perturbations is the same. The entropy upper bound of a body absorved by the black holes studied was calculated. This limit turned out to be independent of the black hole parameters.
Development of a UF{sub 6} cylinder transient heat transfer/stress analysis model
Williams, W.R. [Martin Marietta Energy Systems, Inc., Oak Ridge, TN (United States)
1991-12-31T23:59:59.000Z
A heat transfer/stress analysis model is being developed to simulate the heating to a point of rupture of a cylinder containing UF{sub 6} when it is exposed to a fire. The assumptions underlying the heat transfer portion of the model, which has been the focus of work to date, will be discussed. A key aspect of this model is a lumped parameter approach to modeling heat transfer. Preliminary results and future efforts to develop an integrated thermal/stress model will be outlined.
Characteristics of identifying linear dynamic models from impulse response data using Prony analysis
Trudnowski, D.J.
1992-12-01T23:59:59.000Z
The purpose of the study was to investigate the characteristics of fitting linear dynamic models to the impulse response of oscillatory dynamic systems using Prony analysis. Many dynamic systems exhibit oscillatory responses with multiple modes of oscillations. Although the underlying dynamics of such systems are often nonlinear, it is frequently possible and very useful to represent the system operating about some set point with a linear model. Derivation of such linear models can be done using two basic approaches: model the system using theoretical derivations and some linearization method such as a Taylor series expansion; or use a curve-fitting technique to optimally fit a linear model to specified system response data. Prony analysis belongs to the second class of system modeling because it is a method of fitting a linear model to the impulse response of a dynamic system. Its parallel formulation inherently makes it well suited for fitting models to oscillatory system data. Such oscillatory dynamic effects occur in large synchronous-generator-based power systems in the form of electromechanical oscillations. To study and characterize these oscillatory dynamics, BPA has developed computer codes to analyze system data using Prony analysis. The objective of this study was to develop a highly detailed understanding of the properties of using Prony analysis to fit models to systems with characteristics often encountered in power systems. This understanding was then extended to develop general ``rules-of-thumb`` for using Prony analysis. The general characteristics were investigated by performing fits to data from known linear models under controlled conditions. The conditions studied include various mathematical solution techniques; different parent system configurations; and a large variety of underlying noise characteristics.
Characteristics of identifying linear dynamic models from impulse response data using Prony analysis
Trudnowski, D.J.
1992-12-01T23:59:59.000Z
The purpose of the study was to investigate the characteristics of fitting linear dynamic models to the impulse response of oscillatory dynamic systems using Prony analysis. Many dynamic systems exhibit oscillatory responses with multiple modes of oscillations. Although the underlying dynamics of such systems are often nonlinear, it is frequently possible and very useful to represent the system operating about some set point with a linear model. Derivation of such linear models can be done using two basic approaches: model the system using theoretical derivations and some linearization method such as a Taylor series expansion; or use a curve-fitting technique to optimally fit a linear model to specified system response data. Prony analysis belongs to the second class of system modeling because it is a method of fitting a linear model to the impulse response of a dynamic system. Its parallel formulation inherently makes it well suited for fitting models to oscillatory system data. Such oscillatory dynamic effects occur in large synchronous-generator-based power systems in the form of electromechanical oscillations. To study and characterize these oscillatory dynamics, BPA has developed computer codes to analyze system data using Prony analysis. The objective of this study was to develop a highly detailed understanding of the properties of using Prony analysis to fit models to systems with characteristics often encountered in power systems. This understanding was then extended to develop general rules-of-thumb'' for using Prony analysis. The general characteristics were investigated by performing fits to data from known linear models under controlled conditions. The conditions studied include various mathematical solution techniques; different parent system configurations; and a large variety of underlying noise characteristics.
Weber, Stefan
About the Impact of Model Risk on Capital Reserves: A Quantitative Analysis. Philip Bertram1 the idea of model risk in the environment of internal model building. We define various types of model risk including estimation risk, model risk in distri- bution and model risk in functional form
Modeling and estimation in Gaussian graphical models : maximum-entropy methods and walk-sum analysis
Chandrasekaran, Venkat
2007-01-01T23:59:59.000Z
Graphical models provide a powerful formalism for statistical signal processing. Due to their sophisticated modeling capabilities, they have found applications in a variety of fields such as computer vision, image processing, ...
Wetland model in an earth systems modeling framework for regional environmental policy analysis
Awadalla, Sirein Salah
2011-01-01T23:59:59.000Z
The objective of this research is to investigate incorporating a wetland component into a land energy and water fluxes model, the Community Land Model (CLM). CLM is the land fluxes component of the Integrated Global Systems ...
AIR INGRESS ANALYSIS: PART 2 – COMPUTATIONAL FLUID DYNAMIC MODELS
Chang H. Oh; Eung S. Kim; Richard Schultz; Hans Gougar; David Petti; Hyung S. Kang
2011-01-01T23:59:59.000Z
The Idaho National Laboratory (INL), under the auspices of the U.S. Department of Energy, is performing research and development that focuses on key phenomena important during potential scenarios that may occur in very high temperature reactors (VHTRs). Phenomena Identification and Ranking Studies to date have ranked an air ingress event, following on the heels of a VHTR depressurization, as important with regard to core safety. Consequently, the development of advanced air ingress-related models and verification and validation data are a very high priority. Following a loss of coolant and system depressurization incident, air will enter the core of the High Temperature Gas Cooled Reactor through the break, possibly causing oxidation of the in-the core and reflector graphite structure. Simple core and plant models indicate that, under certain circumstances, the oxidation may proceed at an elevated rate with additional heat generated from the oxidation reaction itself. Under postulated conditions of fluid flow and temperature, excessive degradation of the lower plenum graphite can lead to a loss of structural support. Excessive oxidation of core graphite can also lead to the release of fission products into the confinement, which could be detrimental to a reactor safety. Computational fluid dynamic model developed in this study will improve our understanding of this phenomenon. This paper presents two-dimensional and three-dimensional CFD results for the quantitative assessment of the air ingress phenomena. A portion of results of the density-driven stratified flow in the inlet pipe will be compared with results of the experimental results.
Modeling Distribution Connected PV and Interconnection Study 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default SignEnergy4 3.4 Myriam Perez De la Rosa1, GillesModeofModeling4-15322PE
Bohr model and dimensional scaling analysis of atoms and molecules
Urtekin, Kerim
2007-04-25T23:59:59.000Z
with coordinates rho1, z1 and rho2, z2 respectively; the dihedral angle phi between the (rho1,z1) and (rho2,z2) planes remains constant at either phi = pi or phi = 0. The sketch corresponds to confifguration 2 of Fig. 2, with phi = pi... phi = pi or phi = 0. The sketch corresponds to configuration 2 of Fig. 2, with phi = pi. Figure 1 displays the Bohr model for a hydrogen molecule [1, 7, 15], in which two nuclei with charges Z|e| are separated by a fixed distance R (adiabatic...
Sample size in factor analysis: The role of model error
MacCallum, R. C.; Widaman, K. F.; Preacher, Kristopher J.; Hong, Sehee
2001-01-01T23:59:59.000Z
Equation 1: (2) H9018 yy = H9011H9021H9011H11032 + H9008 2 where H9018 yy is the p ? p population covariance matrix for the measured variables and H9021 is the r ? r population correlation matrix for the common factors (assuming factors are standardized... in the population). This is the standard version of the common factor model for a population covariance matrix. Following similar algebraic procedures, we could derive a structure for a sample covariance matrix, C yy . However, in such a derivation we can...
Building Information Modeling (BIM)-Based Daylighting Simulation and Analysis
Kota, S.; Haberl, J.S.; Clayton, M.; Yan, W.
of creating geometry. These limitations are generally a specific method or way of defining geometry. For example in Desktop Radiance in order to create a window in a wall, the window glass has to be modeled as a single surface and the wall surface hosting... was provided to us by the project team. Figure 10 shows the floor plan and 3D views of the house. The main hall of the house has windows on the north wall, which are clear storyclearstory windows (Figure 10B) and the curtain panel windows on the south wall...
Thermophysical models of underground coal gasification and FEM analysis
Yang, L.H. [China University of Mining & Technology, Xuzhou (China)
2007-11-15T23:59:59.000Z
In this study, mathematical models of the coupled thermohydromechanical process of coal rock mass in an underground coal gasification panel are established. Combined with the calculation example, the influence of heating effects on the observed values and simulated values for pore water pressure, stress, and displacement in the gasification panel are fully discussed and analyzed. Calculation results indicate that 38, 62, and 96 days after the experiment, the average relative errors for the calculated values and measured values for the temperature and water pressure were between 8.51-11.14% and 3-10%, respectively; with the passage of gasification time, the calculated errors for the vertical stress and horizontal stress gradually declined, but the simulated errors for the horizontal and vertical displacements both showed a rising trend. On the basis of the research results, the calculated values and the measured values agree with each other very well.
Algebraic Geometrization of the Kuramoto Model: Equilibria and Stability Analysis
Dhagash Mehta; Noah Daleo; Florian Dörfler; Jonathan D. Hauenstein
2015-01-03T23:59:59.000Z
Finding equilibria of the finite size Kuramoto model amounts to solving a nonlinear system of equations, which is an important yet challenging problem. We translate this into an algebraic geometry problem and use numerical methods to find all of the equilibria for various choices of coupling constants K, natural frequencies, and on different graphs. We note that for even modest sizes (N ~ 10-20), the number of equilibria is already more than 100,000. We analyze the stability of each computed equilibrium as well as the configuration of angles. Our exploration of the equilibrium landscape leads to unexpected and possibly surprising results including non-monotonicity in the number of equilibria, a predictable pattern in the indices of equilibria, counter-examples to popular conjectures, multi-stable equilibrium landscapes, scenarios with only unstable equilibria, and multiple distinct extrema in the stable equilibrium distribution as a function of the number of cycles in the graph.
Simulation and physical model based gamma-ray burst afterglow analysis
van Eerten, Hendrik
2015-01-01T23:59:59.000Z
Advances in our numerical and theoretical understanding of gamma-ray burst afterglow processes allow us to construct models capable of dealing with complex relativistic jet dynamics and non-thermal emission, that can be compared directly to data from instruments such as Swift. Because afterglow blast waves and power law spectra are intrinsically scale-invariant under changes of explosion energy and medium density, templates can be generated from large-scale hydrodynamics simulations. This allows for iterative template-based model fitting using the physical model parameters (quantifying the properties of the burster, emission and observer) directly as fit variables. Here I review how such an approach to afterglow analysis works in practice, paying special attention to the underlying model assumptions, possibilities, caveats and limitations of this type of analysis. Because some model parameters can be degenerate in certain regions of parameter space, or unconstrained if data in a limited number of a bands is a...
Blair, N.; Jenkin, T.; Milford, J.; Short, W.; Sullivan, P.; Evans, D.; Lieberman, E.; Goldstein, G.; Wright, E.; Jayaraman, K.; Venkatech, B.; Kleiman, G.; Namovicz, C.; Smith, B.; Palmer, K.; Wiser, R.; Wood, F.
2009-09-30T23:59:59.000Z
The Renewable Energy and Efficiency Modeling and Analysis Partnership (REMAP) sponsors ongoing workshops to discuss individual 'renewable' technologies, energy/economic modeling, and - to some extent - policy issues related to renewable energy. Since 2002, the group has organized seven workshops, each focusing on a different renewable technology (geothermal, solar, wind, etc.). These workshops originated and continue to be run under an informal partnership of the Environmental Protection Agency (EPA), the Department of Energy's (DOE) Office of Energy Efficiency and Renewable Energy (EERE), the National Renewable Energy Laboratory (NREL), and the American Council on Renewable Energy (ACORE). EPA originally funded the activities, but support is now shared between EPA and EERE. REMAP has a wide range of participating analysts and models/modelers that come from government, the private sector, and academia. Modelers include staff from the Energy Information Administration (EIA), the American Council for an Energy-Efficient Economy (ACEEE), NREL, EPA, Resources for the Future (RFF), Argonne National Laboratory (ANL), Northeast States for Coordinated Air Use Management (NESCAUM), Regional Economic Models Inc. (REMI), ICF International, OnLocation Inc., and Boston University. The working group has more than 40 members, which also includes representatives from DOE, Lawrence Berkeley National Laboratory (LBNL), Union of Concerned Scientists (UCS), Massachusetts Renewable Energy Trust, Federal Energy Regulatory Commission (FERC), and ACORE. This report summarizes the activities and findings of the REMAP activity that started in late 2006 with a kickoff meeting, and concluded in mid-2008 with presentations of final results. As the project evolved, the group compared results across models and across technologies rather than just examining a specific technology or activity. The overall goal was to better understand how and why different energy models give similar and/or different answers in response to a set of focused energy-related questions. The focus was on understanding reasons for model differences, not on policy implications, even though a policy of high renewable penetration was used for the analysis. A group process was used to identify the potential question (or questions) to be addressed through the project. In late 2006, increasing renewable energy penetration in the electricity sector was chosen from among several options as the general policy to model. From this framework, the analysts chose a renewable portfolio standard (RPS) as the way to implement the required renewable energy market penetration in the models. An RPS was chosen because it was (i) of interest and represented the group's consensus choice, and (ii) tractable and not too burdensome for the modelers. Because the modelers and analysts were largely using their own resources, it was important to consider the degree of effort required. In fact, several of the modelers who started this process had to discontinue participation because of other demands on their time. Federal and state RPS policy is an area of active political interest and debate. Recognizing this, participants used this exercise to gain insight into energy model structure and performance. The results are not intended to provide any particular insight into policy design or be used for policy advocacy, and participants are not expected to form a policy stance based on the outcomes of the modeling. The goals of this REMAP project - in terms of the main topic of renewable penetration - were to: (1) Compare models and understand why they may give different results to the same question, (2) Improve the rigor and consistency of assumptions used across models, and (3) Evaluate the ability of models to measure the impacts of high renewable-penetration scenarios.
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.
THERMAL MODELING ANALYSIS OF SRS 70 TON CASK
Lee, S.; Jordan, J.; Hensel, S.
2011-03-08T23:59:59.000Z
The primary objective of this work was to perform the thermal calculations to evaluate the Material Test Reactor (MTR) fuel assembly temperatures inside the SRS 70-Ton Cask loaded with various bundle powers. MTR fuel consists of HFBR, MURR, MIT, and NIST. The MURR fuel was used to develop a bounding case since it is the fuel with the highest heat load. The results will be provided for technical input for the SRS 70 Ton Cask Onsite Safety Assessment. The calculation results show that for the SRS 70 ton dry cask with 2750 watts total heat source with a maximum bundle heat of 670 watts and 9 bundles of MURR bounding fuel, the highest fuel assembly temperatures are below about 263 C. Maximum top surface temperature of the plastic cover is about 112 C, much lower than its melting temperature 260 C. For 12 bundles of MURR bounding fuel with 2750 watts total heat and a maximum fuel bundle of 482 watts, the highest fuel assembly temperatures are bounded by the 9 bundle case. The component temperatures of the cask were calculated by a three-dimensional computational fluid dynamics approach. The modeling calculations were performed by considering daily-averaged solar heat flux.
Uncertainty Analysis Framework - Hanford Site-Wide Groundwater Flow and Transport Model
Cole, Charles R.; Bergeron, Marcel P.; Murray, Christopher J.; Thorne, Paul D.; Wurstner, Signe K.; Rogers, Phillip M.
2001-11-09T23:59:59.000Z
Pacific Northwest National Laboratory (PNNL) embarked on a new initiative to strengthen the technical defensibility of the predictions being made with a site-wide groundwater flow and transport model at the U.S. Department of Energy Hanford Site in southeastern Washington State. In FY 2000, the focus of the initiative was on the characterization of major uncertainties in the current conceptual model that would affect model predictions. The long-term goals of the initiative are the development and implementation of an uncertainty estimation methodology in future assessments and analyses using the site-wide model. This report focuses on the development and implementation of an uncertainty analysis framework.
Comprehensive mechanisms for combustion chemistry: Experiment, modeling, and sensitivity analysis
Dryer, F.L.; Yetter, R.A. [Princeton Univ., NJ (United States)
1993-12-01T23:59:59.000Z
This research program is an integrated experimental/numerical effort to study pyrolysis and oxidation reactions and mechanisms for small-molecule hydrocarbon structures under conditions representative of combustion environments. The experimental aspects of the work are conducted in large diameter flow reactors, at pressures from one to twenty atmospheres, temperatures from 550 K to 1200 K, and with observed reaction times from 10{sup {minus}2} to 5 seconds. Gas sampling of stable reactant, intermediate, and product species concentrations provides not only substantial definition of the phenomenology of reaction mechanisms, but a significantly constrained set of kinetic information with negligible diffusive coupling. Analytical techniques used for detecting hydrocarbons and carbon oxides include gas chromatography (GC), and gas infrared (NDIR) and FTIR methods are utilized for continuous on-line sample detection of light absorption measurements of OH have also been performed in an atmospheric pressure flow reactor (APFR), and a variable pressure flow (VPFR) reactor is presently being instrumented to perform optical measurements of radicals and highly reactive molecular intermediates. The numerical aspects of the work utilize zero and one-dimensional pre-mixed, detailed kinetic studies, including path, elemental gradient sensitivity, and feature sensitivity analyses. The program emphasizes the use of hierarchical mechanistic construction to understand and develop detailed kinetic mechanisms. Numerical studies are utilized for guiding experimental parameter selections, for interpreting observations, for extending the predictive range of mechanism constructs, and to study the effects of diffusive transport coupling on reaction behavior in flames. Modeling using well defined and validated mechanisms for the CO/H{sub 2}/oxidant systems.
Husimi distribution and phase space analysis of Dicke model quantum phase transition
E. Romera; R. del Real; M. Calixto
2014-09-19T23:59:59.000Z
The Husimi distribution is proposed for a phase space analysis of quantum phase transitions in the Dicke model of spin-boson interactions. We show that the inverse participation ratio and Wehrl entropy of the Husimi distribution give sharp signatures of the quantum phase transition. The analysis has been done using two frameworks: a numerical treatment and an analytical variational approximation. Additionally we have proposed a new characterization of the Dicke model quantum phase transition by means of the zeros of the Husimi distribution in the variational approach.
Economic analysis and assessment of syngas production using a modeling approach
Kim, Hakkwan; Parajuli, Prem B.; Yu, Fei; Columbus, Eugene P.
2011-08-10T23:59:59.000Z
Economic analysis and modeling are essential and important issues for the development of current feedstock and process technology for bio-gasification. The objective of this study was to develop an economic model and apply to predict the unit cost of syngas production from a micro-scale bio-gasification facility. An economic model was programmed in C++ computer programming language and developed using a parametric cost approach, which included processes to calculate the total capital costs and the total operating costs. The model used measured economic data from the bio-gasification facility at Mississippi State University. The modeling results showed that the unit cost of syngas production was $1.217 for a 60 Nm-3 h-1 capacity bio-gasifier. The operating cost was the major part of the total production cost. The equipment purchase cost and the labor cost were the largest part of the total capital cost and the total operating cost, respectively. Sensitivity analysis indicated that labor costs rank the top as followed by equipment cost, loan life, feedstock cost, interest rate, utility cost, and waste treatment cost. The unit cost of syngas production increased with the increase of all parameters with exception of loan life. The annual cost regarding equipment, labor, feedstock, waste treatment, and utility cost showed a linear relationship with percent changes, while loan life and annual interest rate showed a non-linear relationship. This study provides the useful information for economic analysis and assessment of the syngas production using a modeling approach.
Reliability analysis and prediction of mixed mode load using Markov Chain Model
Nikabdullah, N. [Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia and Institute of Space Science (ANGKASA), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (Malaysia); Singh, S. S. K.; Alebrahim, R.; Azizi, M. A. [Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (Malaysia); K, Elwaleed A. [Institute of Space Science (ANGKASA), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (Malaysia); Noorani, M. S. M. [School of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia (Malaysia)
2014-06-19T23:59:59.000Z
The aim of this paper is to present the reliability analysis and prediction of mixed mode loading by using a simple two state Markov Chain Model for an automotive crankshaft. The reliability analysis and prediction for any automotive component or structure is important for analyzing and measuring the failure to increase the design life, eliminate or reduce the likelihood of failures and safety risk. The mechanical failures of the crankshaft are due of high bending and torsion stress concentration from high cycle and low rotating bending and torsional stress. The Markov Chain was used to model the two states based on the probability of failure due to bending and torsion stress. In most investigations it revealed that bending stress is much serve than torsional stress, therefore the probability criteria for the bending state would be higher compared to the torsion state. A statistical comparison between the developed Markov Chain Model and field data was done to observe the percentage of error. The reliability analysis and prediction was derived and illustrated from the Markov Chain Model were shown in the Weibull probability and cumulative distribution function, hazard rate and reliability curve and the bathtub curve. It can be concluded that Markov Chain Model has the ability to generate near similar data with minimal percentage of error and for a practical application; the proposed model provides a good accuracy in determining the reliability for the crankshaft under mixed mode loading.
Human-robot interactions: model-based risk analysis and safety case construction
Guiochet, Jérémie
Human-robot interactions: model-based risk analysis and safety case construction Quynh Anh DO HOANG potential threats related to physical human-robot interactions and to assess the associated risks that might affect safety and dependability. Because of the complexity of human-robot interactions, rigorous
PERFORMANCE ANALYSIS OF INDUSTRIAL ETHERNET NETWORKS BY MEANS OF TIMED MODEL-CHECKING
Paris-Sud XI, Université de
technologies in manufacturing automation but they have not been specifically intended for industrial controlPERFORMANCE ANALYSIS OF INDUSTRIAL ETHERNET NETWORKS BY MEANS OF TIMED MODEL-CHECKING Daniel Witsch networks are promising for the harmonization of the communication technologies in manufacturing automation
Gitelson, Anatoly
Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative for Sciences, 260 Panama Street, Stanford, CA 94305, USA d Center for Advanced Land Management Information squares regression We used synthetic reflectance spectra generated by a radiative transfer model, PROSPECT
Gitelson, Anatoly
Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative for Sciences, 260 Panama Street, Stanford, CA 94305, USA d Center for Advanced Land Management Information regression We used synthetic reflectance spectra generated by a radiative transfer model, PROSPECT-5
A Simulation Technique for Performance Analysis of Generic Petri Net Models of Computer Systems1
Cintra, Marcelo
A Simulation Technique for Performance Analysis of Generic Petri Net Models of Computer Systems1 Abstract Many timed extensions for Petri nets have been proposed in the literature, but their analytical solutions impose limitations on the time distributions and the net topology. To overcome these limitations
Numerical analysis of electric field formulations of the eddy current model
RodrĂguez, Rodolfo
Numerical analysis of electric field formulations of the eddy current model Alfredo BermÂ´udez1 methods for the numeri- cal solution of the eddy current problem in a bounded conducting domain crossed): 78M10, 65N30 Key words Low-frequency harmonic Maxwell equations, eddy currents, finite elements
Mathematical and numerical analysis of a transient non-linear axisymmetric eddy current model
RodrĂguez, Rodolfo
Mathematical and numerical analysis of a transient non-linear axisymmetric eddy current model the theoretically predicted behavior of the method, are reported. Keywords transient eddy current Â· axisymmetric is the accurate computation of power losses in the ferromagnetic components of the core due to hysteresis and eddy-current
Power system analysis project Modeling and Sizing optimization of Stand-alone
Lavaei, Javad
to flexible wind directions and widely variable speed. The inclination and azimuth angle of solar panel-in, cut-out wind speed and rated power, into the optimization based on the real load of the site and writePower system analysis project Modeling and Sizing optimization of Stand-alone photovoltaic/wind
Scacchi, Walt
39 OSS tools in a heterogeneous environment for embedded systems modelling: an analysis information between tools whether in a tool chain, for legacy reasons or because of the natural of XMI interchange for supporting OSS tool adoption to complement other tools in an embedded systems
Enterprise Social Network Analysis and Modeling: A Tale of Two Graphs
Li, Li Erran
Enterprise Social Network Analysis and Modeling: A Tale of Two Graphs Jin Cao1, Hongyu Gao2, Li to understand how people are using these social networks. Unlike the public social networks like Facebook social networks are also governed by an organization graph. Based on a six month dataset collected from
Impact of Jitter-based Techniques on Flooding over Wireless Ad hoc Networks: Model and Analysis
Paris-Sud XI, Université de
Impact of Jitter-based Techniques on Flooding over Wireless Ad hoc Networks: Model and Analysis Philippe.Jacquet@inria.fr Emmanuel Baccelli INRIA, France Emmanuel.Baccelli@inria.fr Abstract--Jitter. This paper investigates on the impact of the standardized jitter mechanism on network-wide packet
Analysis and Modeling of Clock-Jitter Effects in Delta-Sigma Modulators
Palermo, Sam
Analysis and Modeling of Clock-Jitter Effects in Delta-Sigma Modulators Ramy Saad, Sebastian Hoyos, Texas, USA Abstract Random variation in the timing of clock edges (namely, clock-jitter) is a critical-converters. The problem of clock-jitter is a very critical issue and can significantly deteriorate the achievable signal
Discrete-Time, Cyclostationary Phase-Locked Loop Model for Jitter Analysis
Nikolic, Borivoje
Discrete-Time, Cyclostationary Phase-Locked Loop Model for Jitter Analysis Socrates D. Vamvakos Sciences, Berkeley, CA 94720 USA Abstract Â Timing jitter is one of the most significant phase- locked loop to develop the tools necessary to study and predict PLL jitter performance at design time. In this paper
Independent Component Analysis For EEG Source Localization In Realistic Head Models
Utah, University of
1 Independent Component Analysis For EEG Source Localization In Realistic Head Models Leonid Zhukov Abstract--- A pervasive problem in neuroscience is determining which regions of the brain are active, given within the brain from electroencephalo graphic (EEG) recordings is an illposed problem. Specifi cally
Independent Component Analysis For EEG Source Localization In Realistic Head Models
Utah, University of
1 Independent Component Analysis For EEG Source Localization In Realistic Head Models Leonid Zhukov Abstract-- A pervasive problem in neuroscience is determining which regions of the brain are active, given within the brain from electroencephalo- graphic (EEG) recordings is an ill-posed problem. Specifi- cally
Analysis of Comair flight 5191 with the Functional Resonance Accident Model
Paris-Sud XI, Université de
Analysis of Comair flight 5191 with the Functional Resonance Accident Model Erik Hollnagel 1 Abstract The goal of an accident investigation is to determine why a certain combination of conditions, events, and actions led to the specific outcome. Accidents in complex high risk operations
A Cognitively Bounded Rational Analysis Model of Dual-Task Performance Trade-Offs
Saunders, Mark
A Cognitively Bounded Rational Analysis Model of Dual-Task Performance Trade-Offs Christian P of interleaving two tasks can be described as making trade-offs between performance on each of the tasks. This can. An objective payoff function was used to describe how participants should trade-off performance between
NASA/TM-2004-212999 Formal Modeling and Analysis of a Preliminary
Butler, Ricky W.
March 2004 NASA/TM-2004-212999 Formal Modeling and Analysis of a Preliminary Small Aircraft, Virginia Sara Kalvala University of Warwick, United Kingdom #12;The NASA STI Program Office . . . in Profile Since its founding, NASA has been dedicated to the advancement of aeronautics and space science
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 Wind Turbines with Induction Generator during Grid Fault by Sigrid M. Bolik Institute of Energy turbine technology has undergone rapid developments. Growth in size and the optimization of wind turbines
Model-based analysis and simulation of regenerative heat wheel Zhuang Wu a
Melnik, Roderick
, which is used in many heat recovery systems. In this paper, a model-based analysis of a rotary Mechanical ventilation with heat recovery systems plays a vital role in securing optimum air quality, thermal heat recovery systems [3]. Such systems have a significant effect on the energy effectiveness
Digital service analysis and design: the role of process modelling Steven Buchanan*
Strathclyde, University of
and usefulness of a UK National Health Service (NHS) digital library. Reflecting on lessons learnt evaluation of a National Health Service (NHS) digital library that found users satisfied with usability1 Digital service analysis and design: the role of process modelling Steven Buchanan* Department
Mesbah, Mounir
1 Longitudinal Analysis of Short term Bronchiolitis Air Pollution Association using Semi Parametric of ambient air pollution on infant bronchiolitis hospital consultations. Infant bronchiolitis is a frequent pollution, semi parametric models. 1.1 Introduction Time-series studies of air pollution and health
The Jacobi Model of an Elliptic Curve and Side-Channel Analysis
International Association for Cryptologic Research (IACR)
The Jacobi Model of an Elliptic Curve and Side-Channel Analysis Olivier Billet1,2 and Marc Joye1 1-investigates the Jacobi form suggested by Liardet and Smart (CHES 2001). Rather than considering the Jacobi form Weierstraß parameterization are given in [1]. 1.2 Our results Building on [10], we consider the Jacobi form
The Jacobi Model of an Elliptic Curve and Side-Channel Analysis
International Association for Cryptologic Research (IACR)
The Jacobi Model of an Elliptic Curve and Side-Channel Analysis Olivier Billet 1;2 and Marc Joye 1-investigates the Jacobi form suggested by Liardet and Smart (CHES 2001). Rather than considering the Jacobi form; parameterization are given in [1]. 1.2 Our results Building on [10], we consider the Jacobi form
A Mobility Model for Cost Analysis in Integrated Cellular/WLANs
Shenoy, Nirmala
A Mobility Model for Cost Analysis in Integrated Cellular/WLANs Nirmala Shenoy, Bruce Hartpence, Information Technology Department, Rochester Institute of Technology, Rochester NY 14623, USA Rafael Mantilla that can be used to study the costs and benefits of integrating cellular and Wireless LANs, from a vendor
Analysis of model equations for stress-enhanced diffusion in coal
Segatti, Antonio
Analysis of model equations for stress-enhanced diffusion in coal layers Andro Mikeli´c Andro coal seams. A typical procedure is the injection of carbon dioxide via deviated wells drilled inside the coal seams. Carbon dioxide displaces the methane adsorbed on the internal surface of the coal
Control-relevant Modelling and Linear Analysis of Instabilities in Oxy-fuel Combustion
Foss, Bjarne A.
Control-relevant Modelling and Linear Analysis of Instabilities in Oxy-fuel Combustion Dagfinn combustion have been proposed as an alternative to conventional gas turbine cycles for achieving CO2-capture for CO2 sequestration purposes. While combustion instabilities is a problem in modern conventional gas
CONTROL-ORIENTED MODELING AND ANALYSIS FOR AUTOMOTIVE FUEL CELL SYSTEMS
Peng, Huei
CONTROL-ORIENTED MODELING AND ANALYSIS FOR AUTOMOTIVE FUEL CELL SYSTEMS Jay T. Pukrushpan Huei Peng of Michigan Ann Arbor, Michigan 48109-2125 Email: pukrushp@umich.edu Abstract Fuel Cells are electrochemical regarded as a potential future stationary and mobile power source. The response of a fuel cell system
The Smooth Curvature Flexure Model: An Accurate, Low-Dimensional Approach for Robot Analysis
Haller, Gary L.
The Smooth Curvature Flexure Model: An Accurate, Low-Dimensional Approach for Robot Analysis Lael kinematics are critically important at large angles for predicting the deformation and the stiffness in a number of different robotic mechanisms, particularly in compliant hands [6-8]. The benefits of flexure
Roberts, Malcolm
analysis, and high-performance computing. I have experience working in the areas of compu- tational fluid mechanics, subgrid models for turbulence, and flows in complex geometries. 1 Introduction Consider, which is the product of the characteristic length and velocity of the flow divided by the kinematic
Multivariate Analysis of Longitudinal Ordinal Data with Mixed Eects Models, with Application to
to Clinical Outcomes in Osteoarthritis Celine Marielle Laont1,2, Marc Vandemeulebroecke3, Didier Concordet1 are used. Typically, four ordinal outcomes are measured in clinical trials, including the posture of a dog feature in clinical trials. However, the standard methods for data analysis use unidimen- sional models
Decision Support Modeling and analysis of an auction-based logistics market
Karaesmen, Fikri
evaluation; Reverse auctions 1. Introduction We consider a logistics spot market where the transportation-transit carriers with lower costs, through a reverse auction. Implementing such a logistics spot market hasDecision Support Modeling and analysis of an auction-based logistics market Semra Agrali a , Barisß
Gosavi, Abhijit
-generation plants is a much-studied topic. The issue of health hazards arising from water pollution (see WagnerPollution 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
Model-based Failure Modes and Effects Analysis of Neal Snooke 1
Snooke, Neal
embedded software developers who are already familiar with the benefits of FMEA analysis. Several au- thors discuss experiences of performing manual FMEA of software however there has been no attempt at automating of software and the success of model based automated FMEA for hardware. 1 Introduction The notion of Software
A versatile computer model for the design and analysis of electric and hybrid vehicles
Stevens, Kenneth Michael
1996-01-01T23:59:59.000Z
The primary purpose of the work reported in this thesis was to develop a versatile computer model to facilitate the design and analysis of hybrid vehicle drive-trains. A hybrid vehicle is one in which power for propulsion comes from two distinct...
A versatile computer model for the design and analysis of electric and hybrid vehicles
Stevens, Kenneth Michael
1996-01-01T23:59:59.000Z
The primary purpose of the work reported in this thesis was to develop a versatile computer model to facilitate the design and analysis of hybrid vehicle drive-trains. A hybrid vehicle is one in which power for propulsion comes from two distinct...
AN OPEN-CIRCUIT-VOLTAGE MODEL OF LITHIUM-ION BATTERIES FOR EFFECTIVE INCREMENTAL CAPACITY ANALYSIS
Peng, Huei
AN OPEN-CIRCUIT-VOLTAGE MODEL OF LITHIUM-ION BATTERIES FOR EFFECTIVE INCREMENTAL CAPACITY ANALYSIS electrochemical properties and aging status. INTRODUCTION With the widespread use of lithium-ion batteries the com- plex battery physical behavior during the lithium-ion intercalac- tion/deintercalation process
State-of-the-art Tools and Techniques for Quantitative Modeling and Analysis of Embedded
David, Alexandre
1 State-of-the-art Tools and Techniques for Quantitative Modeling and Analysis of Embedded Systems¶AalborgCNRS VerimagINRIA/IRISA §Saarland University ¶Embedded Systems Institute and Radboud University Abstract and stochastic aspects. Then, we will overview the BIP framework for modular design and code generation. Finally
COMMENTS ON STRUCTURAL CONDITION ANALYSIS BASED ON STRAIN MEASUREMENTS ON TRIPOD MODEL
Boyer, Edmond
depth of 50 m. Bigger size wind turbines are now designed in order to produce more electrical power thanCOMMENTS ON STRUCTURAL CONDITION ANALYSIS BASED ON STRAIN MEASUREMENTS ON TRIPOD MODEL S. Opoka1, M strain can be valuable indicator of such changes. KEYWORDS : offshore support structure, wind turbine
Pedram, Massoud
Trace-Based Analysis and Prediction of Cloud Computing User Behavior Using the Fractal Modeling and technology. In this paper, we investigate the characteristics of the cloud computing requests received the alpha- stable distribution. Keywords- cloud computing; alpha-stable distribution; fractional order
Spatial Analysis of Market Linkages in North Carolina Using Threshold Autoregression Models
Krivobokova, Tatyana
Spatial Analysis of Market Linkages in North Carolina Using Threshold Autoregression Models in the Department of Agricultural and Resource Economics at North Carolina State University. Direct correspondence-2920. Email: anton.bekkerman@montana.edu #12;Abstract In North Carolina, where soybeans and corn are the two
Randomized flow model and centrality measure for electrical power transmission network analysis
Boyer, Edmond
the vulnerability of electric power infrastructure systems [2, 3]. The focus of these types of studies is typically1 Randomized flow model and centrality measure for electrical power transmission network analysis. Centrality measures can then be coherently defined. An example of application to an electrical power
On a Modeling Framework for the Analysis of Interdependencies in Electric Power Systems
Firenze, Universitŕ degli Studi di
On a Modeling Framework for the Analysis of Interdependencies in Electric Power Systems Silvano, including the Electric Power System (EPS), through which vital services are provided. In existing EPS two co- operating infrastructures are involved: the Electric Infras- tructure (EI) for the electricity generation
Modeling and Grid impedance Variation Analysis of Parallel Connected Grid Connected Inverter
Bak, Claus Leth
of power converter are important issues todays as the grid is becoming much more power electronics filtering and resonance damping methods are studied in islanded micro- grid application to reduceModeling and Grid impedance Variation Analysis of Parallel Connected Grid Connected Inverter based
Extended Model Variety Analysis for Integrated Processing and Understanding of Signals
Massachusetts at Amherst, University of
Extended Model Variety Analysis for Integrated Processing and Understanding of Signals E. Dorken, S processing algorithm with respect to the class of all input signals that may po- tentially arise in a given each signal is correctly or incorrectly pro- cessed by the signal processing algorithm under consid
Extended Model Variety Analysis for Integrated Processing and Understanding of Signals \\Lambda
Massachusetts at Amherst, University of
Extended Model Variety Analysis for Integrated Processing and Understanding of Signals \\Lambda E processing algorithm with respect to the class of all input signals that may po tentially arise in a given each signal is correctly or incorrectly pro cessed by the signal processing algorithm under consid
On a Modeling Framework for the Analysis of Interdependencies in Electric Power Systems
Firenze, Universitŕ degli Studi di
On a Modeling Framework for the Analysis of Interdependencies in Electric Power Systems Silvano, including the Electric Power System (EPS), through which vital services are provided. In existing EPS two co to single infrastruc- tures. Electric Power Systems (EPSs) are prominent rep- resentatives of critical
Model-based congestion analysis during outage and system reconfiguration in GPRS networks
Firenze, Universitŕ degli Studi di
Model-based congestion analysis during outage and system reconfiguration in GPRS networks overlapping. In particular, we consider that one of the two cells is affected by an outage and we analyze resources become suddenly unavailable due to malfunctions. The occurrence of an outage is the typical event
Giurgiutiu, Victor
damage assessment, and are considered as a new non-destructive evaluation method. The in-situ impedance of experimental results obtained from previous work. The real part of the measured PWAS impedance presents twoOn the Modeling of Piezoelectric Wafer Active Sensor Impedance Analysis for Structural Health
Snieder, Roel
Seismic modeling and analysis of a prototype heated nuclear waste storage tunnel, Yucca Mountain rock surrounding a tunnel in Yucca Mountain tuff and com- pared the results with field data obtained waves diffracted around the tunnel in the region of changing velocity. INTRODUCTION The Yucca Mountain
Rheo-PIV Analysis of the Yielding and Flow of Model Waxy Crude Oils
Rheo-PIV Analysis of the Yielding and Flow of Model Waxy Crude Oils Christopher J. Dimitriou@mit.edu Abstract Waxes are a commonly encountered precipitate that can result in gelation of crude oils behavior similar to waxy crude oils encountered in production scenarios. To study the consequences
Sloshing in the LNG shipping industry: risk modelling through multivariate heavy-tail analysis
Sloshing in the LNG shipping industry: risk modelling through multivariate heavy-tail analysis In the liquefied natural gas (LNG) shipping industry, the phenomenon of slosh- ing can lead to the occurrence in the LNG shipping industry. KEYWORDS: Sloshing, multivariate heavy-tail distribution, asymptotic depen
A Formal Framework for Modeling and Analysis of System-Level Dynamic Power Management
Ha, Dong S.
A Formal Framework for Modeling and Analysis of System-Level Dynamic Power Management Shrirang, tlmartin, ha}@vt.edu Abstract Recent advances in Dynamic Power Management (DPM) tech- niques have resulted in designs that support a rich set of power management options, both at the hardware and software levels
Int. J. , Vol. x, No. x, xxxx 1 Modelling and Analysis of Service Parts Logistics Systems
Rossetti, Manuel D.
Int. J. , Vol. x, No. x, xxxx 1 Modelling and Analysis of Service Parts Logistics Systems Fernando failures to carry out their services. When these breakdowns occur, maintenance technicians restore, the behaviour of the service parts logistics system (SPLS) is approximated with a modified M/G/1 HOL queuing
A Dynamical Systems Analysis of the Data Assimilation Linked Ecosystem Carbon (DALEC) Models
Skeldon, Anne C.
A Dynamical Systems Analysis of the Data Assimilation Linked Ecosystem Carbon (DALEC) Models Anna M make it ever more important to understand the processes involved in Earth systems, such as the carbon with it the ability to perform ever- more detailed studies of the Earth system and its components. Such studies help
Regression Models for Demand Reduction based on Cluster Analysis of Load Profiles
Yamaguchi, Nobuyuki; Han, Junqiao; Ghatikar, Girish; Piette, Mary Ann; Asano, Hiroshi; Kiliccote, Sila
2009-06-28T23:59:59.000Z
This paper provides new regression models for demand reduction of Demand Response programs for the purpose of ex ante evaluation of the programs and screening for recruiting customer enrollment into the programs. The proposed regression models employ load sensitivity to outside air temperature and representative load pattern derived from cluster analysis of customer baseline load as explanatory variables. The proposed models examined their performances from the viewpoint of validity of explanatory variables and fitness of regressions, using actual load profile data of Pacific Gas and Electric Company's commercial and industrial customers who participated in the 2008 Critical Peak Pricing program including Manual and Automated Demand Response.
Kim, Sunyoung; Coffeen, Robert C.; Sanguinetti, Paola
2013-06-02T23:59:59.000Z
By sharing and managing the database for a building model, Building Information Modeling (BIM) facilitates the design process at less cost. Some of BIM software has capabilities for acoustical analysis, but it is limited to noise level demonstration...
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Rafique, R.; Xia, J.; Hararuk, O.; Luo, Y.
2014-06-27T23:59:59.000Z
Modeled carbon (C) storage capacity is largely determined by the C residence time and net primary productivity (NPP). Extensive research has been done on NPP dynamics but the residence time and their relationships with C storage are much less studied. In this study, we implemented a traceability analysis to understand the modeled C storage and residence time in three land surface models: CSIRO's Atmosphere Biosphere Land Exchange (CABLE) with 9 C pools, Community Land Model (version 3.5) combined with Carnegie-Ames-Stanford Approach (CLM3.5-CASA) with 12 C pools and Community Land Model (version 4) (CLM4) with 26 C pools. The globally averagedmore »C storage and residence time was computed at both individual pool and total ecosystem levels. The spatial distribution of total ecosystem C storage and residence time differ greatly among the three models. The CABLE model showed a closer agreement with measured C storage and residence time in plant and soil pools than CLM3.5-CASA and CLM4. However, CLM3.5-CASA and CLM4 were close to each other in modeled C storage but not with measured data. CABLE stores more C in root whereas CLM3.5-CASA and CLM4 store more C in woody pools, partly due to differential NPP allocation in respective pools. The C residence time in individual C pools is greatly different among models, largely because of different transfer coefficient values among pools. CABLE had higher bulk residence time for soil C pools than the other two models. Overall, the traceability analysis used in this study can help fully characterizes the behavior of complex land models.« less
TRACE/PARCS Core Modeling of a BWR/5 for Accident Analysis of ATWS Events
Cuadra A.; Baek J.; Cheng, L.; Aronson, A.; Diamond, D.; Yarsky, P.
2013-11-10T23:59:59.000Z
The TRACE/PARCS computational package [1, 2] isdesigned to be applicable to the analysis of light water reactor operational transients and accidents where the coupling between the neutron kinetics (PARCS) and the thermal-hydraulics and thermal-mechanics (TRACE) is important. TRACE/PARCS has been assessed for itsapplicability to anticipated transients without scram(ATWS) [3]. The challenge, addressed in this study, is to develop a sufficiently rigorous input model that would be acceptable for use in ATWS analysis. Two types of ATWS events were of interest, a turbine trip and a closure of main steam isolation valves (MSIVs). In the first type, initiated by turbine trip, the concern is that the core will become unstable and large power oscillations will occur. In the second type,initiated by MSIV closure,, the concern is the amount of energy being placed into containment and the resulting emergency depressurization. Two separate TRACE/PARCS models of a BWR/5 were developed to analyze these ATWS events at MELLLA+ (maximum extended load line limit plus)operating conditions. One model [4] was used for analysis of ATWS events leading to instability (ATWS-I);the other [5] for ATWS events leading to emergency depressurization (ATWS-ED). Both models included a large portion of the nuclear steam supply system and controls, and a detailed core model, presented henceforth.
Assessment of Models for Pedestrian Dynamics with Functional Principal Component Analysis
Chraibi, M; Gottschalk, H; Saadi, M; Seyfried, A
2015-01-01T23:59:59.000Z
Many agent based simulation approaches have been proposed for pedestrian flow. As such models are applied e.g.\\ in evacuation studies, the quality and reliability of such models is of vital interest. Pedestrian trajectories are functional data and thus functional principal component analysis is a natural tool to asses the quality of pedestrian flow models beyond average properties. In this article we conduct functional PCA for the trajectories of pedestrians passing through a bottleneck. We benchmark two agent based models of pedestrian flow against the experimental data using PCA average and stochastic features. Functional PCA proves to be an efficient tool to detect deviation between simulation and experiment and to asses quality of pedestrian models.
RELAP5/MOD2 split reactor vessel model and steamline break analysis
Petelin, S.; Mavko, B.; Gortnar, O. (Univ. of Ljubljana, (Slovenia))
1993-04-01T23:59:59.000Z
A split reactor vessel model for the RELAP5/ MOD2 computer code is developed in an attempt to realize more realistic predictions of asymmetrical transients in a two-loop nuclear power plant. Based on this split reactor model, coolant mixing processes within the reactor vessel are examined. This study evaluates the model improvements in terms of thermal-hydraulic simulations of the reactor core inlet fluid condition and the consequent core behavior. Furthermore, the split reactor vessel model is introduced into an integral RELAP5/MOD2 power plant model, and a steamline break analysis is performed to determine the influence of the boron concentration in the boron injection tank on accident consequences.
Analysis report for WIPP colloid model constraints and performance assessment parameters
Mariner, Paul E. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Sassani, David Carl [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
2014-03-01T23:59:59.000Z
An analysis of the Waste Isolation Pilot Plant (WIPP) colloid model constraints and parameter values was performed. The focus of this work was primarily on intrinsic colloids, mineral fragment colloids, and humic substance colloids, with a lesser focus on microbial colloids. Comments by the US Environmental Protection Agency (EPA) concerning intrinsic Th(IV) colloids and Mg-Cl-OH mineral fragment colloids were addressed in detail, assumptions and data used to constrain colloid model calculations were evaluated, and inconsistencies between data and model parameter values were identified. This work resulted in a list of specific conclusions regarding model integrity, model conservatism, and opportunities for improvement related to each of the four colloid types included in the WIPP performance assessment.
The SMC (Short Model Coil) Nb3Sn Program: FE Analysis with 3D Modeling
Kokkinos, C; Guinchard, M; Karppinen, M; Manil, P; Perez, J C; Regis, F
2012-01-01T23:59:59.000Z
The SMC (Short Model Coil) project aims at testing superconducting coils in racetrack configuration, wound with Nb3Sn cable. The degradation of the magnetic properties of the cable is studied by applying different levels of pre-stress. It is an essential step in the validation of procedures for the construction of superconducting magnets with high performance conductor. Two SMC assemblies have been completed and cold tested in the frame of a European collaboration between CEA (FR), CERN and STFC (UK), with the technical support from LBNL (US). The second assembly showed remarkable good quench results, reaching a peak field of 12.5T. This paper details the new 3D modeling method of the SMC, implemented using the ANSYS® Workbench environment. Advanced computer-aided-design (CAD) tools are combined with multi-physics Finite Element Analyses (FEA), in the same integrated graphic interface, forming a fully parametric model that enables simulation driven development of the SMC project. The magnetic and structural ...
Analysis of laser remote fusion cutting based on a mathematical model
Matti, R. S. [Department of Engineering Sciences and Mathematics, Luleĺ University of Technology, S-971 87 Luleĺ (Sweden); Department of Mechanical Engineering, College of Engineering, University of Mosul, Mosul (Iraq); Ilar, T.; Kaplan, A. F. H. [Department of Engineering Sciences and Mathematics, Luleĺ University of Technology, S-971 87 Luleĺ (Sweden)
2013-12-21T23:59:59.000Z
Laser remote fusion cutting is analyzed by the aid of a semi-analytical mathematical model of the processing front. By local calculation of the energy balance between the absorbed laser beam and the heat losses, the three-dimensional vaporization front can be calculated. Based on an empirical model for the melt flow field, from a mass balance, the melt film and the melting front can be derived, however only in a simplified manner and for quasi-steady state conditions. Front waviness and multiple reflections are not modelled. The model enables to compare the similarities, differences, and limits between laser remote fusion cutting, laser remote ablation cutting, and even laser keyhole welding. In contrast to the upper part of the vaporization front, the major part only slightly varies with respect to heat flux, laser power density, absorptivity, and angle of front inclination. Statistical analysis shows that for high cutting speed, the domains of high laser power density contribute much more to the formation of the front than for low speed. The semi-analytical modelling approach offers flexibility to simplify part of the process physics while, for example, sophisticated modelling of the complex focused fibre-guided laser beam is taken into account to enable deeper analysis of the beam interaction. Mechanisms like recast layer generation, absorptivity at a wavy processing front, and melt film formation are studied too.
Uncertainty and sensitivity analysis of fission gas behavior in engineering-scale fuel modeling
G. Pastore; L.P. Swiler; J.D. Hales; S.R. Novascone; D.M. Perez; B.W. Spencer; L. Luzzi; P. Van Uffelen; R.L. Williamson
2014-10-01T23:59:59.000Z
The role of uncertainties in fission gas behavior calculations as part of engineering-scale nuclear fuel modeling is investigated using the BISON fuel performance code and a recently implemented physics-based model for the coupled fission gas release and swelling. Through the integration of BISON with the DAKOTA software, a sensitivity analysis of the results to selected model parameters is carried out based on UO2 single-pellet simulations covering different power regimes. The parameters are varied within ranges representative of the relative uncertainties and consistent with the information from the open literature. The study leads to an initial quantitative assessment of the uncertainty in fission gas behavior modeling with the parameter characterization presently available. Also, the relative importance of the single parameters is evaluated. Moreover, a sensitivity analysis is carried out based on simulations of a fuel rod irradiation experiment, pointing out a significant impact of the considered uncertainties on the calculated fission gas release and cladding diametral strain. The results of the study indicate that the commonly accepted deviation between calculated and measured fission gas release by a factor of 2 approximately corresponds to the inherent modeling uncertainty at high fission gas release. Nevertheless, higher deviations may be expected for values around 10% and lower. Implications are discussed in terms of directions of research for the improved modeling of fission gas behavior for engineering purposes.
Jacob, Daniel J.
Global 3-D model analysis of the seasonal cycle of atmospheric carbonyl sulfide: Implications of atmospheric carbonyl sulfide (COS) to interpret observations at a network of surface sites. We aim to identify, and D. J. Jacob (2008), Global 3-D model analysis of the seasonal cycle of atmospheric carbonyl sulfide
Standard Model updates and new physics analysis with the Unitarity Triangle fit
Adrian Bevan; Marcella Bona; Marco Ciuchini; Denis Derkach; Enrico Franco; Vittorio Lubicz; Guido Martinelli; Fabrizio Parodi; Maurizio Pierini; Carlo Schiavi; Luca Silvestrini; Viola Sordini; Achille Stocchi; Cecilia Tarantino; Vincenzo Vagnoni
2014-11-26T23:59:59.000Z
We present here the update of the Unitarity Triangle (UT) analysis performed by the UTfit Collaboration within the Standard Model (SM) and beyond. Continuously updated flavour results contribute to improving the precision of several constraints and through the global fit of the CKM parameters and the SM predictions. We also extend the UT analysis to investigate new physics (NP) effects on $\\Delta F=2$ processes. Finally, based on the NP constraints, we derive upper bounds on the coefficients of the most general $\\Delta F=2$ effective Hamiltonian. These upper bounds can be translated into lower bounds on the scale of NP that contributes to these low-energy effective interactions.
Ray, Indrakshi
Systematic Scenario-Based Analysis of UML Design Class models Lijun Yu, Robert B. France, Indrakshi, sunwl}@cs.colostate.edu Abstract Scenario-based UML Design Analysis (SUDA) is a lightweight technique the Scenario-based UML Design Analysis (SUDA) technique [Yu08] [Yu07]. SUDA can be used to rigorously analyze
Integration of Advanced Probabilistic Analysis Techniques with Multi-Physics Models
Cetiner, Mustafa Sacit; none,; Flanagan, George F. [ORNL] [ORNL; Poore III, Willis P. [ORNL] [ORNL; Muhlheim, Michael David [ORNL] [ORNL
2014-07-30T23:59:59.000Z
An integrated simulation platform that couples probabilistic analysis-based tools with model-based simulation tools can provide valuable insights for reactive and proactive responses to plant operating conditions. The objective of this work is to demonstrate the benefits of a partial implementation of the Small Modular Reactor (SMR) Probabilistic Risk Assessment (PRA) Detailed Framework Specification through the coupling of advanced PRA capabilities and accurate multi-physics plant models. Coupling a probabilistic model with a multi-physics model will aid in design, operations, and safety by providing a more accurate understanding of plant behavior. This represents the first attempt at actually integrating these two types of analyses for a control system used for operations, on a faster than real-time basis. This report documents the development of the basic communication capability to exchange data with the probabilistic model using Reliability Workbench (RWB) and the multi-physics model using Dymola. The communication pathways from injecting a fault (i.e., failing a component) to the probabilistic and multi-physics models were successfully completed. This first version was tested with prototypic models represented in both RWB and Modelica. First, a simple event tree/fault tree (ET/FT) model was created to develop the software code to implement the communication capabilities between the dynamic-link library (dll) and RWB. A program, written in C#, successfully communicates faults to the probabilistic model through the dll. A systems model of the Advanced Liquid-Metal Reactor–Power Reactor Inherently Safe Module (ALMR-PRISM) design developed under another DOE project was upgraded using Dymola to include proper interfaces to allow data exchange with the control application (ConApp). A program, written in C+, successfully communicates faults to the multi-physics model. The results of the example simulation were successfully plotted.
Gerkmann, Ralf
J. Theis, Computational Modeling in Biology, Institute of Bioinformatics and Systems BiologyTitle: From data analysis to network modeling, with applications in systems biology Author: Fabian at detailed models of the system of interest. Our application focus are biological networks, namely gene
Use of model calibration to achieve high accuracy in analysis of computer networks
Frogner, Bjorn; Guarro, Sergio; Scharf, Guy
2004-05-11T23:59:59.000Z
A system and method are provided for creating a network performance prediction model, and calibrating the prediction model, through application of network load statistical analyses. The method includes characterizing the measured load on the network, which may include background load data obtained over time, and may further include directed load data representative of a transaction-level event. Probabilistic representations of load data are derived to characterize the statistical persistence of the network performance variability and to determine delays throughout the network. The probabilistic representations are applied to the network performance prediction model to adapt the model for accurate prediction of network performance. Certain embodiments of the method and system may be used for analysis of the performance of a distributed application characterized as data packet streams.
Dynamic nuclear renography kinetic analysis: Four-compartment model for assessing kidney function
Raswan, T. R., E-mail: tara.raissa@gmail.com; Haryanto, F., E-mail: tara.raissa@gmail.com [Department of Physics, Nuclear Physics and Biophysics Research Group, Institut Teknologi Bandung, Bandung (Indonesia)
2014-09-30T23:59:59.000Z
Dynamic nuclear renography method produces TACs of kidneys and bladder. Multiple TACs data can be further analyzed to obtain the overview of urinary system's condition. Tracer kinetic analysis was performed using four-compartment models. The system's model consist of four irreversible compartment with four transport constants (k1, k2, k3 and k4). The mathematical expressions of tracer's distributions is fitted to experimental data (TACs) resulting in model constants. This transport constants represent the urinary system behavior, and later can be used for analyzing system's condition. Different intervals of kinetics parameter are clearly shown by abnormal system with respect to the normal one. Furthermore, the system with delayed uptake has 82% lower uptake parameters (k1 and k2) than normal one. Meanwhile, the system with prolonged clearance time has its kinetics parameters k3 or k4 lower than the others. This model is promising for quantitatively describe urinary system's function especially if supplied with more data.
Comparative Analysis of Modeling Studies on China's Future Energy and Emissions Outlook
Zheng, Nina; Zhou, Nan; Fridley, David
2010-09-01T23:59:59.000Z
The past decade has seen the development of various scenarios describing long-term patterns of future Greenhouse Gas (GHG) emissions, with each new approach adding insights to our understanding of the changing dynamics of energy consumption and aggregate future energy trends. With the recent growing focus on China's energy use and emission mitigation potential, a range of Chinese outlook models have been developed across different institutions including in China's Energy Research Institute's 2050 China Energy and CO2 Emissions Report, McKinsey & Co's China's Green Revolution report, the UK Sussex Energy Group and Tyndall Centre's China's Energy Transition report, and the China-specific section of the IEA World Energy Outlook 2009. At the same time, the China Energy Group at Lawrence Berkeley National Laboratory (LBNL) has developed a bottom-up, end-use energy model for China with scenario analysis of energy and emission pathways out to 2050. A robust and credible energy and emission model will play a key role in informing policymakers by assessing efficiency policy impacts and understanding the dynamics of future energy consumption and energy saving and emission reduction potential. This is especially true for developing countries such as China, where uncertainties are greater while the economy continues to undergo rapid growth and industrialization. A slightly different assumption or storyline could result in significant discrepancies among different model results. Therefore, it is necessary to understand the key models in terms of their scope, methodologies, key driver assumptions and the associated findings. A comparative analysis of LBNL's energy end-use model scenarios with the five above studies was thus conducted to examine similarities and divergences in methodologies, scenario storylines, macroeconomic drivers and assumptions as well as aggregate energy and emission scenario results. Besides directly tracing different energy and CO{sub 2} savings potential back to the underlying strategies and combination of efficiency and abatement policy instruments represented by each scenario, this analysis also had other important but often overlooked findings.
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Users of the VEMAP Portal can access input files of numerical data that include monthly and daily files of geographic data, soil and site files, scenario files, etc. Model results from Phase I, the Equilibrium Response datasets, are available through the NCAR anonymous FTP site at http://www.cgd.ucar.edu/vemap/vresults.html. Phase II, Transient Dynamics, include climate datasets, models results, and analysis tools. Many supplemental files are also available from the main data page at http://www.cgd.ucar.edu/vemap/datasets.html.
Genetic Algorithms for Agent-Based Infrastructure Interdependency Modeling and Analysis
May Permann
2007-03-01T23:59:59.000Z
Today’s society relies greatly upon an array of complex national and international infrastructure networks such as transportation, electric power, telecommunication, and financial networks. This paper describes initial research combining agent-based infrastructure modeling software and genetic algorithms (GAs) to help optimize infrastructure protection and restoration decisions. This research proposes to apply GAs to the problem of infrastructure modeling and analysis in order to determine the optimum assets to restore or protect from attack or other disaster. This research is just commencing and therefore the focus of this paper is the integration of a GA optimization method with a simulation through the simulation’s agents.
Applications of Minkowski Functionals to the Statistical Analysis of Dark Matter Models
Michael Platzoeder; Thomas Buchert
1995-09-04T23:59:59.000Z
A new method for the statistical analysis of 3D point processes, based on the family of Minkowski functionals, is explained and applied to modelled galaxy distributions generated by a toy-model and cosmological simulations of the large-scale structure in the Universe. These measures are sensitive to both, geometrical and topological properties of spatial patterns and appear to be very effective in discriminating different point processes. Moreover by the means of conditional subsampling, different building blocks of large-scale structures like sheets, filaments and clusters can be detected and extracted from a given distribution.
Leveson, Nancy
The Analysis of a Friendly Fire Accident using a Systems Model of Accidents* N.G. Leveson, Ph.D.; University of Victoria; Victoria, Canada Keywords: accident analysis, accident models Abstract In another accident model can be applied. The model has the potential for supporting new types of hazard analysis
Application of the Veneziano model to the analysis of three pion charmonium decays
Szczepaniak, Adam P; Pennington, Michael R [JLAB
2014-10-01T23:59:59.000Z
We adapt the Veneziano model to the analysis of vector charmonium decays. Starting from a set of covariant Veneziano terms we show how to construct partial waves amplitudes that receive contributions from selected Regge trajectories. The amplitudes, nevertheless retain the proper asymptotic limit. This arises from duality between directly produced resonances and cross-channel Reggeon and in practical applications helps remove uncertainties in the parametrization of backgrounds.
Li, Ke
2012-02-14T23:59:59.000Z
of the requirements for the degree of DOCTOR OF PHILOSOPHY December 2010 Major Subject: Agricultural Economics Essays on Regression Spline Structural Nonparametric Stochastic Production Frontier Estimation and Ine ciency Analysis Models Copyright 2010 Ke Li... of the requirements for the degree of DOCTOR OF PHILOSOPHY Approved by: Chair of Committee, Ximing Wu Committee Members, David Bessler H. Alan Love Qi Li Head of Department, John P. Nichols December 2010 Major Subject: Agricultural Economics iii ABSTRACT...
Examining the Generalized Waring Model for the Analysis of Traffic Crashes
Peng, Yichuan
2013-05-03T23:59:59.000Z
Figure 5.19 Sensitivity analysis of covariate ADT for Michigan data ........................ 95 Figure 6.1 Comparison of rankings between NB and GW models ............................. 99 x LIST OF TABLES... sites based on the available information, such as traffic flow and other road geometric variables. They also can be used to investigate specific or significant effects of the variables on the risk of the collision. In addition, the number of 2...
Statistical Analysis of Microgravity Two-Phase Slug Flow via the Drift Flux Model
Larsen, Benjamin A
2014-05-01T23:59:59.000Z
STATISTICAL ANALYSIS OF MICROGRAVITY TWO-PHASE SLUG FLOW VIA THE DRIFT FLUX MODEL A Thesis by BENJAMIN ANDREW LARSEN Submitted to the Office of Graduate and Professional Studies of Texas A&M University in partial fulfillment... made their data available to me and willingly took the time to converse about their work. Finally I would like to thank my parents Donald and Christine Larsen for their love and support in completing my graduate work. v NOMENCLATURE Symbol...
Renormalization Group Analysis of Finite-Size Scaling in the $?^4_4$ Model
R. Kenna; C. B. Lang
1992-10-08T23:59:59.000Z
A finite-size scaling theory for the $\\phi^4_4$ model is derived using renormalization group methods. Particular attention is paid to the partition function zeroes, in terms of which all thermodynamic observables can be expressed. While the leading scaling behaviour is identical to that of mean field theory, there exist multiplicative logarithmic corrections too. A non-perturbative test of these formulae in the form of a high precision Monte Carlo analysis reveals good quantitative agreement with the analytical predictions.
Statistical Analysis of Baseline Load Models for Non-Residential Buildings
Coughlin, Katie; Piette, Mary Ann; Goldman, Charles; Kiliccote, Sila
2008-11-10T23:59:59.000Z
Policymakers are encouraging the development of standardized and consistent methods to quantify the electric load impacts of demand response programs. For load impacts, an essential part of the analysis is the estimation of the baseline load profile. In this paper, we present a statistical evaluation of the performance of several different models used to calculate baselines for commercial buildings participating in a demand response program in California. In our approach, we use the model to estimate baseline loads for a large set of proxy event days for which the actual load data are also available. Measures of the accuracy and bias of different models, the importance of weather effects, and the effect of applying morning adjustment factors (which use data from the day of the event to adjust the estimated baseline) are presented. Our results suggest that (1) the accuracy of baseline load models can be improved substantially by applying a morning adjustment, (2) the characterization of building loads by variability and weather sensitivity is a useful indicator of which types of baseline models will perform well, and (3) models that incorporate temperature either improve the accuracy of the model fit or do not change it.
Zhao, Jiao; Scheibe, Timothy D.; Mahadevan, Radhakrishnan
2011-01-24T23:59:59.000Z
Uranium contamination is a serious concern at several sites motivating the development of novel treatment strategies such as the Geobacter-mediated reductive immobilization of uranium. However, this bioremediation strategy has not yet been optimized for the sustained uranium removal. While several reactive-transport models have been developed to represent Geobacter-mediated bioremediation of uranium, these models often lack the detailed quantitative description of the microbial process (e.g., biomass build-up in both groundwater and sediments, electron transport system, etc.) and the interaction between biogeochemical and hydrological process. In this study, a novel multi-scale model was developed by integrating our recent model on electron capacitance of Geobacter (Zhao et al., 2010) with a comprehensive simulator of coupled fluid flow, hydrologic transport, heat transfer, and biogeochemical reactions. This mechanistic reactive-transport model accurately reproduces the experimental data for the bioremediation of uranium with acetate amendment. We subsequently performed global sensitivity analysis with the reactive-transport model in order to identify the main sources of prediction uncertainty caused by synergistic effects of biological, geochemical, and hydrological processes. The proposed approach successfully captured significant contributing factors across time and space, thereby improving the structure and parameterization of the comprehensive reactive-transport model. The global sensitivity analysis also provides a potentially useful tool to evaluate uranium bioremediation strategy. The simulations suggest that under difficult environments (e.g., highly contaminated with U(VI) at a high migration rate of solutes), the efficiency of uranium removal can be improved by adding Geobacter species to the contaminated site (bioaugmentation) in conjunction with the addition of electron donor (biostimulation). The simulations also highlight the interactive effect of initial cell concentration and flow rate on U(VI) reduction.
Whitehead, Camilla Dunham; McNeil, Michael; Dunham_Whitehead, Camilla; Letschert, Virginie; della_Cava, Mirka
2008-02-28T23:59:59.000Z
The U.S. Environmental Protection Agency (EPA) influences the market for plumbing fixtures and fittings by encouraging consumers to purchase products that carry the WaterSense label, which certifies those products as performing at low flow rates compared to unlabeled fixtures and fittings. As consumers decide to purchase water-efficient products, water consumption will decline nationwide. Decreased water consumption should prolong the operating life of water and wastewater treatment facilities.This report describes the method used to calculate national water savings attributable to EPA?s WaterSense program. A Microsoft Excel spreadsheet model, the National Water Savings (NWS) analysis model, accompanies this methodology report. Version 1.0 of the NWS model evaluates indoor residential water consumption. Two additional documents, a Users? Guide to the spreadsheet model and an Impacts Report, accompany the NWS model and this methodology document. Altogether, these four documents represent Phase One of this project. The Users? Guide leads policy makers through the spreadsheet options available for projecting the water savings that result from various policy scenarios. The Impacts Report shows national water savings that will result from differing degrees of market saturation of high-efficiency water-using products.This detailed methodology report describes the NWS analysis model, which examines the effects of WaterSense by tracking the shipments of products that WaterSense has designated as water-efficient. The model estimates market penetration of products that carry the WaterSense label. Market penetration is calculated for both existing and new construction. The NWS model estimates savings based on an accounting analysis of water-using products and of building stock. Estimates of future national water savings will help policy makers further direct the focus of WaterSense and calculate stakeholder impacts from the program.Calculating the total gallons of water the WaterSense program saves nationwide involves integrating two components, or modules, of the NWS model. Module 1 calculates the baseline national water consumption of typical fixtures, fittings, and appliances prior to the program (as described in Section 2.0 of this report). Module 2 develops trends in efficiency for water-using products both in the business-as-usual case and as a result of the program (Section 3.0). The NWS model combines the two modules to calculate total gallons saved by the WaterSense program (Section 4.0). Figure 1 illustrates the modules and the process involved in modeling for the NWS model analysis.The output of the NWS model provides the base case for each end use, as well as a prediction of total residential indoor water consumption during the next two decades. Based on the calculations described in Section 4.0, we can project a timeline of water savings attributable to the WaterSense program. The savings increase each year as the program results in the installation of greater numbers of efficient products, which come to compose more and more of the product stock in households throughout the United States.
geological model by any method requires much analysis and redefinition and is not a fast or simple process. The process of building a geological model is an iterative one. First, the geoscientist builds required to construct a three dimensional model of geology. There are many computational methods
Model Development and Loads Analysis of a Wind Turbine on a Floating Offshore Tension Leg Platform
Matha, D.; Fischer, T.; Kuhn, M.; Jonkman, J.
2010-02-01T23:59:59.000Z
This report presents results of the analysis of a 5-MW wind turbine located on a floating offshore tension leg platform (TLP) that was conducted using the fully coupled time-domain aero-hydro-servo-elastic design code FAST with AeroDyn and HydroDyn. Models in this code are of greater fidelity than most of the models that have been used to analyze floating turbines in the past--which have neglected important hydrodynamic and mooring system effects. The report provides a description of the development process of a TLP model, which is a modified version of a Massachusetts Institute of Technology design derived from a parametric linear frequency-domain optimization process. An extensive loads and stability analysis for ultimate and fatigue loads according to the procedure of the International Electrotechnical Commission offshore wind turbine design standard was performed with the verified TLP model. Response statistics, extreme event tables, fatigue lifetimes, and selected time histories of design-driving extreme events are analyzed and presented. Loads for the wind turbine on the TLP are compared to those of an equivalent land-based turbine in terms of load ratios. Major instabilities for the TLP are identified and described.
Advanced statistical methods for eye movement analysis and modeling: a gentle introduction
Boccignone, Giuseppe
2015-01-01T23:59:59.000Z
In this Chapter we show that by considering eye movements, and in particular, the resulting sequence of gaze shifts, a stochastic process, a wide variety of tools become available for analyses and modelling beyond conventional statistical methods. Such tools encompass random walk analyses and more complex techniques borrowed from the pattern recognition and machine learning fields. After a brief, though critical, probabilistic tour of current computational models of eye movements and visual attention, we lay down the basis for gaze shift pattern analysis. To this end, the concepts of Markov Processes, the Wiener process and related random walks within the Gaussian framework of the Central Limit Theorem will be introduced. Then, we will deliberately violate fundamental assumptions of the Central Limit Theorem to elicit a larger perspective, rooted in statistical physics, for analysing and modelling eye movements in terms of anomalous, non-Gaussian, random walks and modern foraging theory. Eventually, by resort...
Not Available
1988-12-15T23:59:59.000Z
This section of the Accident Model Document (AMD) presents the appendices which describe the various analyses that have been conducted for use in the Galileo Final Safety Analysis Report II, Volume II. Included in these appendices are the approaches, techniques, conditions and assumptions used in the development of the analytical models plus the detailed results of the analyses. Also included in these appendices are summaries of the accidents and their associated probabilities and environment models taken from the Shuttle Data Book (NSTS-08116), plus summaries of the several segments of the recent GPHS safety test program. The information presented in these appendices is used in Section 3.0 of the AMD to develop the Failure/Abort Sequence Trees (FASTs) and to determine the fuel releases (source terms) resulting from the potential Space Shuttle/IUS accidents throughout the missions.
Psychosocial Modeling of Insider Threat Risk Based on Behavioral and Word Use Analysis
Greitzer, Frank L.; Kangas, Lars J.; Noonan, Christine F.; Brown, Christopher R.; Ferryman, Thomas A.
2013-10-01T23:59:59.000Z
In many insider crimes, managers and other coworkers observed that the offenders had exhibited signs of stress, disgruntlement, or other issues, but no alarms were raised. Barriers to using such psychosocial indicators include the inability to recognize the signs and the failure to record the behaviors so that they can be assessed. A psychosocial model was developed to assess an employee’s behavior associated with an increased risk of insider abuse. The model is based on case studies and research literature on factors/correlates associated with precursor behavioral manifestations of individuals committing insider crimes. A complementary Personality Factor modeling approach was developed based on analysis to derive relevant personality characteristics from word use. Several implementations of the psychosocial model were evaluated by comparing their agreement with judgments of human resources and management professionals; the personality factor modeling approach was examined using email samples. If implemented in an operational setting, these models should be part of a set of management tools for employee assessment to identify employees who pose a greater insider threat.
Nazemnezhad, Reza, E-mail: rnazemnezhad@iust.ac.ir, E-mail: rnazemnezhad@du.ac.ir [School of Mechanical Engineering, Iran University of Science and Technology, Narmak, Tehran (Iran, Islamic Republic of); Shokrollahi, Hassan [School of Mechanical Engineering, Sharif University of Technology, Tehran (Iran, Islamic Republic of); Hosseini-Hashemi, Shahrokh [School of Mechanical Engineering, Iran University of Science and Technology, Narmak, Tehran (Iran, Islamic Republic of); Center of Excellence in Railway Transportation, Iran University of Science and Technology, Narmak, Tehran (Iran, Islamic Republic of)
2014-05-07T23:59:59.000Z
In this study, sandwich beam model (SM) is proposed for free vibration analysis of bilayer graphene nanoribbons (BLGNRs) with interlayer shear effect. This model also takes into account the intralayer (in-plane) stretch of graphene nanoribbons. The molecular dynamics (MD) simulations using the software LAMMPS and Adaptive Intermolecular Reactive Empirical Bond Order (AIREBO) potential are done to validate the accuracy of the sandwich model results. The MD simulation results include the two first frequencies of cantilever BLGNRs with different lengths and two interlayer shear moduli, i.e., 0.25 and 4.6?GPa. These two interlayer shear moduli, 0.25 and 4.6?GPa, can be obtained by sliding a small flake of graphene on a large graphene substrate when the parameter of E-LJ term in AIREBO potential, epsilon-CC, is set to be 2.84 and 45.44?meV, respectively. The SM results for a wide range of bending rigidity values show that the proposed model, i.e., the SM, predicts much better than the previous beam model in which the intralayer stretch is ignored. In addition, it is observed that the model can properly predict the natural frequencies of BLGNRs for various values of the bending rigidity and the interlayer shear modulus.
The Use Of Computational Human Performance Modeling As Task Analysis Tool
Jacuqes Hugo; David Gertman
2012-07-01T23:59:59.000Z
During a review of the Advanced Test Reactor safety basis at the Idaho National Laboratory, human factors engineers identified ergonomic and human reliability risks involving the inadvertent exposure of a fuel element to the air during manual fuel movement and inspection in the canal. There were clear indications that these risks increased the probability of human error and possible severe physical outcomes to the operator. In response to this concern, a detailed study was conducted to determine the probability of the inadvertent exposure of a fuel element. Due to practical and safety constraints, the task network analysis technique was employed to study the work procedures at the canal. Discrete-event simulation software was used to model the entire procedure as well as the salient physical attributes of the task environment, such as distances walked, the effect of dropped tools, the effect of hazardous body postures, and physical exertion due to strenuous tool handling. The model also allowed analysis of the effect of cognitive processes such as visual perception demands, auditory information and verbal communication. The model made it possible to obtain reliable predictions of operator performance and workload estimates. It was also found that operator workload as well as the probability of human error in the fuel inspection and transfer task were influenced by the concurrent nature of certain phases of the task and the associated demand on cognitive and physical resources. More importantly, it was possible to determine with reasonable accuracy the stages as well as physical locations in the fuel handling task where operators would be most at risk of losing their balance and falling into the canal. The model also provided sufficient information for a human reliability analysis that indicated that the postulated fuel exposure accident was less than credible.
Integrated system modeling analysis of a cryogenic multi-cell deflecting-mode cavity resonator
Shin, Young-Min [Department of Physics, Northern Illinois University, Dekalb, Illinois 60115 (United States) [Department of Physics, Northern Illinois University, Dekalb, Illinois 60115 (United States); Fermi National Accelerator Laboratory, Batavia, Illinois 60510 (United States); Church, Michael [Fermi National Accelerator Laboratory, Batavia, Illinois 60510 (United States)] [Fermi National Accelerator Laboratory, Batavia, Illinois 60510 (United States)
2013-09-15T23:59:59.000Z
A deflecting mode cavity is the integral element for six-dimensional phase-space beam control in bunch compressors and emittance transformers at high energy beam test facilities. RF performance of a high-Q device is, however, highly sensitive to operational conditions, in particular in a cryo-cooling environment. Using analytic calculations and RF simulations, we examined cavity parameters and deflecting characteristics of TM{sub 110,?} mode of a 5 cell resonator in a liquid nitrogen cryostat, which has long been used at the Fermilab A0 Photoinjector (A0PI). The sensitivity analysis indicated that the cavity could lose 30%–40% of deflecting force due to defective input power coupling accompanying non-uniform field distribution across the cells with 40 ? 50 MeV electron beam and 70–80 kW klystron power. Vacuum-cryomodules of the 5 cell cavity are planned to be installed at the Fermilab Advanced Superconducting Test Accelerator facility. Comprehensive modeling analysis integrated with multi-physics simulation tools showed that RF loading of 1 ms can cause a ?5 K maximum temperature increase, corresponding to a ?4.3 ?m/ms deformation and a 1.32 MHz/K maximum frequency shift. The integrated system modeling analysis will improve design process of a high-Q cavity with more accurate prediction of cryogenic RF performance under a high power pulse operation.
LaRocca, Sarah; Hassel, Henrik; Guikema, Seth
2013-01-01T23:59:59.000Z
Critical infrastructure systems must be both robust and resilient in order to ensure the functioning of society. To improve the performance of such systems, we often use risk and vulnerability analysis to find and address system weaknesses. A critical component of such analyses is the ability to accurately determine the negative consequences of various types of failures in the system. Numerous mathematical and simulation models exist which can be used to this end. However, there are relatively few studies comparing the implications of using different modeling approaches in the context of comprehensive risk analysis of critical infrastructures. Thus in this paper, we suggest a classification of these models, which span from simple topologically-oriented models to advanced physical flow-based models. Here, we focus on electric power systems and present a study aimed at understanding the tradeoffs between simplicity and fidelity in models used in the context of risk analysis. Specifically, the purpose of this pa...
Modeling and Automatic Failure Analysis of Safety-Critical Systems Using Extended Safecharts
Hsiung, Pao-Ann
techniques, such as fault tree analysis (FTA), failure modes and effects analysis (FMEA), failure modes
ESPRE 2. 1 engineering model: Simplified energy analysis methods for residential buildings
Merriam, R.L. (Little (Arthur D.), Inc., Cambridge, MA (United States))
1992-08-01T23:59:59.000Z
The design and operation of ESPRE (EPRI Simplified Program for Residential Energy) are described in this engineering manual. ESPRE, which is implemented in MS-DOS, carries out hourly simulations of thermal loads and energy use for space conditioning and water heating in residential buildings. The program design objectives are summarized and the model limitations and strengths are described. Fundamental assumptions underlying the program are specified. Explanation of the overall program structure provides a basis for outlining specific approaches to determination of the hourly building loads and energy use and water heater performance. The important elements of the building loads analysis are described in detail, including the interactions of the heat tow and the equipment behavior. Algorithms for the individual thermal load components are shown. A number of residential system options for heating and cooling the building are available with the model. Parameters considered by the equipment models are described. Interactions between the water heater and space conditioning equipment are considered. The purpose of the documentation is to enhance an understanding of the program to facilitate its proper use. As with any program, the accuracy of the analysis will depend on its proper use.
Science-Based Simulation Model of Human Performance for Human Reliability Analysis
Dana L. Kelly; Ronald L. Boring; Ali Mosleh; Carol Smidts
2011-10-01T23:59:59.000Z
Human reliability analysis (HRA), a component of an integrated probabilistic risk assessment (PRA), is the means by which the human contribution to risk is assessed, both qualitatively and quantitatively. However, among the literally dozens of HRA methods that have been developed, most cannot fully model and quantify the types of errors that occurred at Three Mile Island. Furthermore, all of the methods lack a solid empirical basis, relying heavily on expert judgment or empirical results derived in non-reactor domains. Finally, all of the methods are essentially static, and are thus unable to capture the dynamics of an accident in progress. The objective of this work is to begin exploring a dynamic simulation approach to HRA, one whose models have a basis in psychological theories of human performance, and whose quantitative estimates have an empirical basis. This paper highlights a plan to formalize collaboration among the Idaho National Laboratory (INL), the University of Maryland, and The Ohio State University (OSU) to continue development of a simulation model initially formulated at the University of Maryland. Initial work will focus on enhancing the underlying human performance models with the most recent psychological research, and on planning follow-on studies to establish an empirical basis for the model, based on simulator experiments to be carried out at the INL and at the OSU.
Kirkeby, Janus T.; Birgisdottir, Harpa [Environment and Resources, Technical University of Denmark, DTU, Building 113, DK-2800 Kgs. Lyngby (Denmark); Bhander, Gurbakash Singh; Hauschild, Michael [Department of Manufacturing Engineering and Management, Technical University of Denmark, Building 424, DK-2800 Lyngby (Denmark); Christensen, Thomas H. [Environment and Resources, Technical University of Denmark, DTU, Building 113, DK-2800 Kgs. Lyngby (Denmark)], E-mail: thc@er.dtu.dk
2007-07-01T23:59:59.000Z
A new computer-based life-cycle assessment model (EASEWASTE) has been developed to evaluate resource and environmental consequences of solid waste management systems. This paper describes the landfilling sub-model used in the life-cycle assessment program EASEWASTE, and examines some of the implications of this sub-model. All quantities and concentrations of leachate and landfill gas can be modified by the user in order to bring them in agreement with the actual landfill that is assessed by the model. All emissions, except the generation of landfill gas, are process specific. The landfill gas generation is calculated on the basis of organic matter in the landfilled waste. A landfill assessment example is provided. For this example, the normalised environmental effects of landfill gas on global warming and photochemical smog are much greater than the environmental effects for landfill leachate or for landfill construction. A sensitivity analysis for this example indicates that the overall environmental impact is sensitive to the gas collection efficiency and the use of the gas, but not to the amount of leachate generated, or the amount of soil or liner material used in construction. The landfill model can be used for evaluating different technologies with different liners, gas and leachate collection efficiencies, and to compare the environmental consequences of landfilling with alternative waste treatment options such as incineration or anaerobic digestion.
Khangaonkar, Tarang; Yang, Zhaoqing
2011-01-01T23:59:59.000Z
Estuarine and coastal hydrodynamic processes are sometimes neglected in the design and planning of nearshore restoration actions. Despite best intentions, efforts to restore nearshore habitats can result in poor outcomes if circulation and transport which also affect freshwater-saltwater interactions are not properly addressed. Limitations due to current land use can lead to selection of sub-optimal restoration alternatives that may result in undesirable consequences, such as flooding, deterioration of water quality, and erosion, requiring immediate remedies and costly repairs. Uncertainty with achieving restoration goals, such as recovery of tidal exchange, supply of sediment and nutrients, and establishment of fish migration pathways, may be minimized by using numerical models designed for application to the nearshore environment. A high resolution circulation and transport model of the Puget Sound, in the state of Washington, was developed to assist with nearshore habitat restoration design and analysis, and to answer the question “can we achieve beneficial restoration outcomes at small local scale, as well as at a large estuary-wide scale?” The Puget Sound model is based on an unstructured grid framework to define the complex Puget Sound shoreline using a finite volume coastal ocean model (FVCOM). The capability of the model for simulating the important nearshore processes, such as circulation in complex multiple tidal channels, wetting and drying of tide flats, and water quality and sediment transport as part of restoration feasibility, are illustrated through examples of restoration projects in Puget Sound.
Thermal analysis of pentaerythritol tetranitrate and development of a powder aging model
Brown, Geoffrey W [Los Alamos National Laboratory; Sandstrom, Mary M [Los Alamos National Laboratory; Giambra, Anna M [Los Alamos National Laboratory; Archuleta, Jose G [Los Alamos National Laboratory; Monroe, Deirde C [Los Alamos National Laboratory
2009-01-01T23:59:59.000Z
We have applied a range of different physical and thermal analysis techniques to characterize the thermal evolution of the specific surface area of pentaerythritol tetranitrate (PETN) powders. Using atomic force microscopy we have determined that the mass transfer mechanism leading to powder coarsening is probably sublimation and redeposition of PETN. Using thermogravimetric analysis we have measured vapor pressures of PETN powders whose aging will be simulated in future work. For one specific powder we have constructed an empirical model of the coarsening that is fit to specific surface area measurements at 60 C to 70 C to provide predictive capability of that powder's aging. Modulated differential scanning calorimetry and mass spectroscopy measurements highlight some of the thermal behavior of the powders and suggest that homologue-based eutectics and impurities are localized in the powder particles.
GEOCITY: a computer model for systems analysis of geothermal district heating and cooling costs
Fassbender, L.L.; Bloomster, C.H.
1981-06-01T23:59:59.000Z
GEOCITY is a computer-simulation model developed to study the economics of district heating/cooling using geothermal energy. GEOCITY calculates the cost of district heating/cooling based on climate, population, resource characteristics, and financing conditions. The basis for our geothermal-energy cost analysis is the unit cost of energy which will recover all the costs of production. The calculation of the unit cost of energy is based on life-cycle costing and discounted-cash-flow analysis. A wide variation can be expected in the range of potential geothermal district heating and cooling costs. The range of costs is determined by the characteristics of the resource, the characteristics of the demand, and the distance separating the resource and the demand. GEOCITY is a useful tool for estimating costs for each of the main parts of the production process and for determining the sensitivity of these costs to several significant parameters under a consistent set of assumptions.
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.
Zhang, Qi, S.M. Massachusetts Institute of Technology
2008-01-01T23:59:59.000Z
While large scale diffusion of alternative fuel vehicles (AFVs) is widely anticipated, the mechanisms that determine their success or failure are ill understood. Analysis of an AFV transition model developed at MIT has ...
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Gan, Yanjun; Duan, Qingyun; Gong, Wei; Tong, Charles; Sun, Yunwei; Chu, Wei; Ye, Aizhong; Miao, Chiyuan; Di, Zhenhua
2014-01-01T23:59:59.000Z
Sensitivity analysis (SA) is a commonly used approach for identifying important parameters that dominate model behaviors. We use a newly developed software package, a Problem Solving environment for Uncertainty Analysis and Design Exploration (PSUADE), to evaluate the effectiveness and efficiency of ten widely used SA methods, including seven qualitative and three quantitative ones. All SA methods are tested using a variety of sampling techniques to screen out the most sensitive (i.e., important) parameters from the insensitive ones. The Sacramento Soil Moisture Accounting (SAC-SMA) model, which has thirteen tunable parameters, is used for illustration. The South Branch Potomac River basin nearmore »Springfield, West Virginia in the U.S. is chosen as the study area. The key findings from this study are: (1) For qualitative SA methods, Correlation Analysis (CA), Regression Analysis (RA), and Gaussian Process (GP) screening methods are shown to be not effective in this example. Morris One-At-a-Time (MOAT) screening is the most efficient, needing only 280 samples to identify the most important parameters, but it is the least robust method. Multivariate Adaptive Regression Splines (MARS), Delta Test (DT) and Sum-Of-Trees (SOT) screening methods need about 400–600 samples for the same purpose. Monte Carlo (MC), Orthogonal Array (OA) and Orthogonal Array based Latin Hypercube (OALH) are appropriate sampling techniques for them; (2) For quantitative SA methods, at least 2777 samples are needed for Fourier Amplitude Sensitivity Test (FAST) to identity parameter main effect. McKay method needs about 360 samples to evaluate the main effect, more than 1000 samples to assess the two-way interaction effect. OALH and LP? (LPTAU) sampling techniques are more appropriate for McKay method. For the Sobol' method, the minimum samples needed are 1050 to compute the first-order and total sensitivity indices correctly. These comparisons show that qualitative SA methods are more efficient but less accurate and robust than quantitative ones.« less
Ruth, M.; Diakov, V.; Goldsby, M. E.; Sa, T. J.
2010-12-01T23:59:59.000Z
It is commonly accepted that the introduction of hydrogen as an energy carrier for light-duty vehicles involves concomitant technological development of infrastructure elements, such as production, delivery, and consumption, all associated with certain emission levels. To analyze these at a system level, the suite of corresponding models developed by the United States Department of Energy and involving several national laboratories is combined in one macro-system model (MSM). The macro-system model is being developed as a cross-cutting analysis tool that combines a set of hydrogen technology analysis models. Within the MSM, a federated simulation framework is used for consistent data transfer between the component models. The framework is built to suit cross-model as well as cross-platform data exchange and involves features of 'over-the-net' computation.
Kim, G.-H.; Pesaran, A.
2007-05-15T23:59:59.000Z
The objectives of this study are: (1) To develop 3D Li-Ion battery thermal abuse ''reaction'' models for cell and module analysis; (2) To understand the mechanisms and interactions between heat transfer and chemical reactions during thermal runaway for Li-Ion cells and modules; (3) To develop a tool and methodology to support the design of abuse-tolerant Li-Ion battery systems for PHEVs/HEVs; and (4) To help battery developers accelerate delivery of abuse-tolerant Li-Ion battery systems in support of the FreedomCAR's Energy Storage Program.
A finite element model for transient thermal/structural analysis of large composite space structures
Lutz, James Delmar
1986-01-01T23:59:59.000Z
Composite Space Structures. (May 1986) James Delmar Lutz, B. S. , Texas A&M University Chairmen of Advisory Committee: Dr. David H. Allen Dr. Walter E. Haisler A finite element model is developed for predicting the transient thermal/structural response... of structures to be analyzed in order to simplify the heat load analysis. The first r estr iction applies to the geometry of struc- tures to be analyzed. An appropriate structure should be of open lattice-type construction and have highly repetitive...
Destexhe, Alain
of the electrode, considered as an arbitrary linear circuit. This circuit's impulse response is first established analysis and digital compensation of electrode artifacts. Zuzanna Piwkowska PhD thesis defended at the UNIC conductance, each generated by a stochastic process. We used this model as a basis for analysis tools allowing
Bak, Claus Leth
Abstract--This paper presents the harmonic analysis of offshore wind farm (OWF) models with full will be discussed based on measurements from offshore wind farm. Index Terms--full-rating converters, harmonic analysis, offshore wind farm, wind turbine, validation with measurements I. INTRODUCTION HE tendency
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.
Wu, Xueran; Jacob, Birgit
2015-01-01T23:59:59.000Z
The controllability of advection-diffusion systems, subject to uncertain initial values and emission rates, is estimated, given sparse and error affected observations of prognostic state variables. In predictive geophysical model systems, like atmospheric chemistry simulations, different parameter families influence the temporal evolution of the system.This renders initial-value-only optimisation by traditional data assimilation methods as insufficient. In this paper, a quantitative assessment method on validation of measurement configurations to optimize initial values and emission rates, and how to balance them, is introduced. In this theoretical approach, Kalman filter and smoother and their ensemble based versions are combined with a singular value decomposition, to evaluate the potential improvement associated with specific observational network configurations. Further, with the same singular vector analysis for the efficiency of observations, their sensitivity to model control can be identified by deter...
On Modeling and Analysis of MIMO Wireless Mesh Networks with Triangular Overlay Topology
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Cao, Zhanmao; Wu, Chase Q.; Zhang, Yuanping; Shiva, Sajjan G.; Gu, Yi
2015-01-01T23:59:59.000Z
Multiple input multiple output (MIMO) wireless mesh networks (WMNs) aim to provide the last-mile broadband wireless access to the Internet. Along with the algorithmic development for WMNs, some fundamental mathematical problems also emerge in various aspects such as routing, scheduling, and channel assignment, all of which require an effective mathematical model and rigorous analysis of network properties. In this paper, we propose to employ Cartesian product of graphs (CPG) as a multichannel modeling approach and explore a set of unique properties of triangular WMNs. In each layer of CPG with a single channel, we design a node coordinate scheme thatmore »retains the symmetric property of triangular meshes and develop a function for the assignment of node identity numbers based on their coordinates. We also derive a necessary-sufficient condition for interference-free links and combinatorial formulas to determine the number of the shortest paths for channel realization in triangular WMNs.« less
Watney, W.L.
1994-12-01T23:59:59.000Z
Reservoirs in the Lansing-Kansas City limestone result from complex interactions among paleotopography (deposition, concurrent structural deformation), sea level, and diagenesis. Analysis of reservoirs and surface and near-surface analogs has led to developing a {open_quotes}strandline grainstone model{close_quotes} in which relative sea-level stabilized during regressions, resulting in accumulation of multiple grainstone buildups along depositional strike. Resulting stratigraphy in these carbonate units are generally predictable correlating to inferred topographic elevation along the shelf. This model is a valuable predictive tool for (1) locating favorable reservoirs for exploration, and (2) anticipating internal properties of the reservoir for field development. Reservoirs in the Lansing-Kansas City limestones are developed in both oolitic and bioclastic grainstones, however, re-analysis of oomoldic reservoirs provides the greatest opportunity for developing bypassed oil. A new technique, the {open_quotes}Super{close_quotes} Pickett crossplot (formation resistivity vs. porosity) and its use in an integrated petrophysical characterization, has been developed to evaluate extractable oil remaining in these reservoirs. The manual method in combination with 3-D visualization and modeling can help to target production limiting heterogeneities in these complex reservoirs and moreover compute critical parameters for the field such as bulk volume water. Application of this technique indicates that from 6-9 million barrels of Lansing-Kansas City oil remain behind pipe in the Victory-Northeast Lemon Fields. Petroleum geologists are challenged to quantify inferred processes to aid in developing rationale geologically consistent models of sedimentation so that acceptable levels of prediction can be obtained.
Selection of a Model of Cerebral Activity for fMRI Group Data Analysis
Keller, Merlin; Lavielle, Marc
2010-01-01T23:59:59.000Z
This thesis is dedicated to the statistical analysis of multi-sub ject fMRI data, with the purpose of identifying bain structures involved in certain cognitive or sensori-motor tasks, in a reproducible way across sub jects. To overcome certain limitations of standard voxel-based testing methods, as implemented in the Statistical Parametric Mapping (SPM) software, we introduce a Bayesian model selection approach to this problem, meaning that the most probable model of cerebral activity given the data is selected from a pre-defined collection of possible models. Based on a parcellation of the brain volume into functionally homogeneous regions, each model corresponds to a partition of the regions into those involved in the task under study and those inactive. This allows to incorporate prior information, and avoids the dependence of the SPM-like approach on an arbitrary threshold, called the cluster- forming threshold, to define active regions. By controlling a Bayesian risk, our approach balances false positive...
Combined Analysis of Two- and Three-Particle Correlations in q,p-Bose Gas Model
Alexandre M. Gavrilik
2006-11-07T23:59:59.000Z
q-deformed oscillators and the q-Bose gas model enable effective description of the observed non-Bose type behavior of the intercept ("strength") $\\lambda^{(2)}\\equiv C^{(2)}(K,K)-1$ of two-particle correlation function $C^{(2)}(p_1,p_2)$ of identical pions produced in heavy-ion collisions. Three- and n-particle correlation functions of pions (or kaons) encode more information on the nature of the emitting sources in such experiments. And so, the q-Bose gas model was further developed: the intercepts of n-th order correlators of q-bosons and the n-particle correlation intercepts within the q,p-Bose gas model have been obtained, the result useful for quantum optics, too. Here we present the combined analysis of two- and three-pion correlation intercepts for the q-Bose gas model and its q,p-extension, and confront with empirical data (from CERN SPS and STAR/RHIC) on pion correlations. Similar to explicit dependence of $\\lambda^{(2)}$ on mean momenta of particles (pions, kaons) found earlier, here we explore the peculiar behavior, versus mean momentum, of the 3-particle correlation intercept $\\lambda^{(3)}(K)$. The whole approach implies complete chaoticity of sources, unlike other joint descriptions of two- and three-pion correlations using two phenomenological parameters (e.g., core-halo fraction plus partial coherence of sources).
NONE
1994-07-01T23:59:59.000Z
The objective of GSAM development is to create a comprehensive, non-proprietary, microcomputer model of the North American natural gas system. GSAM explicitly evaluates the key components of the system, including the resource base, exploration and development practices, extraction technology performance and costs, project economics, transportation costs and restrictions, storage, and end-use. The primary focus is the detailed characterization of the resource base at the reservoir and sub-reservoir level. This disaggregation allows direct evaluation of alternative extraction technologies based on discretely estimated, individual well productivity, required investments, and associated operating costs. GSAM`s design allows users to evaluate complex interactions of current and alternative future technology and policy initiatives as they directly impact the gas market. Key activities completed during the past year include: conducted a comparative analysis of commercial reservoir databases; licensed and screened NRG Associates Significant Oil and Gas Fields of the US reservoir database; developed and tested reduced form reservoir model production type curves; fully developed database structures for use in GSAM and linkage to other systems; developed a methodology for the exploration module; collected and updated upstream capital and operating cost parameters; completed initial integration of downstream/demand models; presented research results at METC Contractor Review Meeting; conducted other briefings for METC managers, including initiation of the GSAM Environmental Module; and delivered draft topical reports on technology review, model review, and GSAM methodology.
Zhang, Xuesong; Zhao, Kaiguang
2012-06-01T23:59:59.000Z
Bayesian Neural Networks (BNNs) have been shown as useful tools to analyze modeling uncertainty of Neural Networks (NNs). This research focuses on the comparison of two BNNs. The first BNNs (BNN-I) use statistical methods to describe the characteristics of different uncertainty sources (input, parameter, and model structure) and integrate these uncertainties into a Markov Chain Monte Carlo (MCMC) framework to estimate total uncertainty. The second BNNs (BNN-II) lump all uncertainties into a single error term (i.e. the residual between model prediction and measurement). In this study, we propose a simple BNN-II, which use Genetic Algorithms (GA) and Bayesian Model Averaging (BMA) to calibrate Neural Networks with different structures (number of hidden units) and combine the predictions from different NNs to derive predictions and uncertainty analysis. We tested these two BNNs in two watersheds for daily and monthly hydrologic simulation. The BMA based BNNs developed in this study outperforms BNN-I in the two watersheds in terms of both accurate prediction and uncertainty estimation. These results show that, given incomplete understanding of the characteristics associated with each uncertainty source, the simple lumped error approach may yield better prediction and uncertainty estimation.
Video Analysis and Modeling Performance Task to promote becoming like scientists in classrooms
Wee, Loo Kang
2015-01-01T23:59:59.000Z
This paper aims to share the use of Tracker a free open source video analysis and modeling tool that is increasingly used as a pedagogical tool for the effective learning and teaching of Physics for Grade 9 Secondary 3 students in Singapore schools to make physics relevant to the real world. We discuss the pedagogical use of Tracker, guided by the Framework for K-12 Science Education by National Research Council, USA to help students to be more like scientists. For a period of 6 to 10 weeks, students use a video analysis coupled with the 8 practices of sciences such as 1. Ask question, 2. Use models, 3. Plan and carry out investigation, 4. Analyse and interpret data, 5. Use mathematical and computational thinking, 6. Construct explanations, 7. Argue from evidence and 8. Communicate information. This papers focus in on discussing some of the performance task design ideas such as 3.1 flip video, 3.2 starting with simple classroom activities, 3.3 primer science activity, 3.4 integrative dynamics and kinematics l...
Performance Task using Video Analysis and Modelling to promote K12 eight practices of science
Wee, Loo Kang
2015-01-01T23:59:59.000Z
We will share on the use of Tracker as a pedagogical tool in the effective learning and teaching of physics performance tasks taking root in some Singapore Grade 9 (Secondary 3) schools. We discuss the pedagogical use of Tracker help students to be like scientists in these 6 to 10 weeks where all Grade 9 students are to conduct a personal video analysis and where appropriate the 8 practices of sciences (1. ask question, 2. use models, 3. Plan and carry out investigation, 4. Analyse and interpret data, 5. Using mathematical and computational thinking, 6. Construct explanations, 7. Discuss from evidence and 8. Communicating information). We will situate our sharing on actual students work and discuss how tracker could be an effective pedagogical tool. Initial research findings suggest that allowing learners conduct performance task using Tracker, a free open source video analysis and modelling tool, guided by the 8 practices of sciences and engineering, could be an innovative and effective way to mentor authent...
Model-Based Analysis of Electric Drive Options for Medium-Duty Parcel Delivery Vehicles: Preprint
Barnitt, R. A.; Brooker, A. D.; Ramroth, L.
2010-12-01T23:59:59.000Z
Medium-duty vehicles are used in a broad array of fleet applications, including parcel delivery. These vehicles are excellent candidates for electric drive applications due to their transient-intensive duty cycles, operation in densely populated areas, and relatively high fuel consumption and emissions. The National Renewable Energy Laboratory (NREL) conducted a robust assessment of parcel delivery routes and completed a model-based techno-economic analysis of hybrid electric vehicle (HEV) and plug-in hybrid electric vehicle configurations. First, NREL characterized parcel delivery vehicle usage patterns, most notably daily distance driven and drive cycle intensity. Second, drive-cycle analysis results framed the selection of drive cycles used to test a parcel delivery HEV on a chassis dynamometer. Next, measured fuel consumption results were used to validate simulated fuel consumption values derived from a dynamic model of the parcel delivery vehicle. Finally, NREL swept a matrix of 120 component size, usage, and cost combinations to assess impacts on fuel consumption and vehicle cost. The results illustrated the dependency of component sizing on drive-cycle intensity and daily distance driven and may allow parcel delivery fleets to match the most appropriate electric drive vehicle to their fleet usage profile.
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.
Paris-Sud XI, Université de
/Simulink simulations. Key words: power system harmonics, power electronic, linear time periodic modeling, PWM, control1 POWER ELECTRONICS HARMONIC ANALYSIS BASED ON THE LINEAR TIME PERIODIC MODELING. APPLICATIONS in power electronic systems. The considered system is described by a set of differential equations, which
Deng, Xunming
MODELING OF TRIPLE JUNCTION A-SI SOLAR CELLS USING ASA: ANALYSIS OF DEVICE PERFORMANCE UNDER, University of Toledo, Toledo, OH 43606 ABSTRACT Triple junction a-Si solar cells have been modeled have experienced a significant increase in the recent years. Solar panels with triple- junction
Development of a natural gas systems analysis model (GSAM). Annual report, July 1994--June 1995
NONE
1995-07-01T23:59:59.000Z
North American natural gas markets have changed dramatically over the past decade. A competitive, cost-conscious production, transportation, and distribution system has emerged from the highly regulated transportation wellhead pricing structure of the 1980`s. Technology advances have played an important role in the evolution of the gas industry, a role likely to expand substantially as alternative fuel price competition and a maturing natural gas resource base force operators to maximize efficiency. Finally, significant changes continue in regional gas demand patterns, industry practices, and infrastructure needs. As the complexity of the gas system grows so does the need to evaluate and plan for alternative future resource, technology, and market scenarios. Traditional gas modeling systems focused solely on the econometric aspects of gas marketing. These systems, developed to assess a regulated industry at a high level of aggregation, rely on simple representation of complex and evolving systems, thereby precluding insight into how the industry will change over time. Credible evaluations of specific policy initiatives and research activities require a different approach. Also, the mounting pressure on energy producers from environmental compliance activities requires development of analysis that incorporates relevant geologic, engineering, and project economic details. The objective of policy, research and development (R&D), and market analysis is to integrate fundamental understanding of natural gas resources, technology, and markets to fully describe the potential of the gas resource under alternative future scenarios. This report summarizes work over the past twelve months on DOE Contract DE-AC21-92MC28138, Development of a Natural Gas Systems Analysis Model (GSAM). The products developed under this project directly support the Morgantown Energy Technology Center (METC) in carrying out its natural gas R&D mission.
Blair, N.
2010-01-01T23:59:59.000Z
photovoltaics renewable energy renewable energy certificate Regional Energy Deployment System model Renewable Energy and Efficiency
Non-LTE model atmosphere analysis of the early ultraviolet spectra of nova OS Andromedae 1986
Greg Schwarz; Peter H. Hauschildt; Sumner Starrfield; Eddie Baron; France Allard; Steve Shore; George Sonneborn
1996-08-29T23:59:59.000Z
We have analyzed the early optically thick ultraviolet spectra of Nova OS And 1986 using a grid of spherically symmetric, non-LTE, line-blanketed, expanding model atmospheres and synthetic spectra with the following set of parameters: $5,000\\le$ T$_{model}$ $\\le 60,000$K, solar abundances, $\\rho \\propto r^{-3}$, $\\v_{max} = 2000\\kms$, $L=6 \\times 10^{4}\\Lsun$, and a statistical or microturbulent velocity of 50 $\\kms$. We used the synthetic spectra to estimate the model parameters corresponding to the observed {\\it IUE} spectra. The fits to the observations were then iteratively improved by changing the parameters of the model atmospheres, in particular T$_{model}$ and the abundances, to arrive at the best fits to the optically thick pseudo-continuum and the features found in the {\\it IUE} spectra. The {\\it IUE} spectra show two different optically thick subphases. The earliest spectra, taken a few days after maximum optical light, show a pseudo-continuum created by overlapping absorption lines. The later observations, taken approximately 3 weeks after maximum light, show the simultaneous presence of allowed, semi-forbidden, and forbidden lines in the observed spectra. Analysis of these phases indicate that OS And 86 had solar metallicities except for Mg which showed evidence of being underabundant by as much as a factor of 10. We determine a distance of 5.1 kpc to OS And 86 and derive a peak bolometric luminosity of $\\sim$ 5 $\\times$ 10$^4$ L$_{\\odot}$. The computed nova parameters provide insights into the physics of the early outburst and explain the spectra seen by {\\it IUE}. Lastly, we find evidence in the later observations for large non-LTE effects of Fe{\\sc ii} which, when included, lead to much better agreement with the observations.
Modeling and sensitivity analysis of electron capacitance for Geobacter in sedimentary environments
Zhao, Jiao; Fang, Yilin; Scheibe, Timothy D.; Lovley, Derek R.; Mahadevan, Radhakrishnan
2010-03-01T23:59:59.000Z
In situ stimulation of the metabolic activity of Geobacter species through acetate amendment has been shown to be a promising bioremediation strategy to reduce and immobilize hexavalent uranium [U(VI)] as insoluble U(IV). Although Geobacter species are reducing U(VI), they primarily grow via Fe(III) reduction. Unfortunately, the biogeochemistry and the physiology of simultaneous reduction of multiple metals are still poorly understood. A detailed model is therefore required to better understand the pathways leading to U(VI) and Fe(III) reduction by Geobacter species. Based on recent experimental evidence of temporary electron sinks in Geobacter we propose a novel kinetic model that physically distinguishes Geobacter species into neutral and electron-charged states. This model shows that the existence of an electron load-unload cycle might be responsible for efficient U(VI) reduction, and elucidates the relationship between U(VI) and Fe(III)-reducing activity and further explains the correlation of high U(VI) removal with high proportions of Geobacter species in a planktonic state in groundwater. Global sensitivity analysis was used to validate the beneficial effects of electron capacitance and determine the level of importance and interactions of physicochemical and biogeochemical processes controlling Geobacter growth and U(VI) reduction. As compared with current modeling approaches in which biomass is often assumed to maintain the same metabolic state over all conditions, the structured two-state model accounts for important aspects of the dynamic electron capacitance of subsurface Geobacter, thereby facilitating further applications in the optimal bioremediation design strategy.
Estimating Loss-of-Coolant Accident Frequencies for the Standardized Plant Analysis Risk Models
S. A. Eide; D. M. Rasmuson; C. L. Atwood
2008-09-01T23:59:59.000Z
The U.S. Nuclear Regulatory Commission maintains a set of risk models covering the U.S. commercial nuclear power plants. These standardized plant analysis risk (SPAR) models include several loss-of-coolant accident (LOCA) initiating events such as small (SLOCA), medium (MLOCA), and large (LLOCA). All of these events involve a loss of coolant inventory from the reactor coolant system. In order to maintain a level of consistency across these models, initiating event frequencies generally are based on plant-type average performance, where the plant types are boiling water reactors and pressurized water reactors. For certain risk analyses, these plant-type initiating event frequencies may be replaced by plant-specific estimates. Frequencies for SPAR LOCA initiating events previously were based on results presented in NUREG/CR-5750, but the newest models use results documented in NUREG/CR-6928. The estimates in NUREG/CR-6928 are based on historical data from the initiating events database for pressurized water reactor SLOCA or an interpretation of results presented in the draft version of NUREG-1829. The information in NUREG-1829 can be used several ways, resulting in different estimates for the various LOCA frequencies. Various ways NUREG-1829 information can be used to estimate LOCA frequencies were investigated and this paper presents two methods for the SPAR model standard inputs, which differ from the method used in NUREG/CR-6928. In addition, results obtained from NUREG-1829 are compared with actual operating experience as contained in the initiating events database.
Evaluating Domestic Hot Water Distribution System Options With Validated Analysis Models
Weitzel, E.; Hoeschele, M.
2014-09-01T23:59:59.000Z
A developing body of work is forming that collects data on domestic hot water consumption, water use behaviors, and energy efficiency of various distribution systems. A full distribution system developed in TRNSYS has been validated using field monitoring data and then exercised in a number of climates to understand climate impact on performance. This study builds upon previous analysis modelling work to evaluate differing distribution systems and the sensitivities of water heating energy and water use efficiency to variations of climate, load, distribution type, insulation and compact plumbing practices. Overall 124 different TRNSYS models were simulated. Of the configurations evaluated, distribution losses account for 13-29% of the total water heating energy use and water use efficiency ranges from 11-22%. The base case, an uninsulated trunk and branch system sees the most improvement in energy consumption by insulating and locating the water heater central to all fixtures. Demand recirculation systems are not projected to provide significant energy savings and in some cases increase energy consumption. Water use is most efficient with demand recirculation systems, followed by the insulated trunk and branch system with a central water heater. Compact plumbing practices and insulation have the most impact on energy consumption (2-6% for insulation and 3-4% per 10 gallons of enclosed volume reduced). The results of this work are useful in informing future development of water heating best practices guides as well as more accurate (and simulation time efficient) distribution models for annual whole house simulation programs.
Multiphase modeling and qualitative analysis of the growth of tumor cords
Andrea Tosin
2009-06-27T23:59:59.000Z
In this paper a macroscopic model of tumor cord growth is developed, relying on the mathematical theory of deformable porous media. Tumor is modeled as a saturated mixture of proliferating cells, extracellular fluid and extracellular matrix, that occupies a spatial region close to a blood vessel whence cells get the nutrient needed for their vital functions. Growth of tumor cells takes place within a healthy host tissue, which is in turn modeled as a saturated mixture of non-proliferating cells. Interactions between these two regions are accounted for as an essential mechanism for the growth of the tumor mass. By weakening the role of the extracellular matrix, which is regarded as a rigid non-remodeling scaffold, a system of two partial differential equations is derived, describing the evolution of the cell volume ratio coupled to the dynamics of the nutrient, whose higher and lower concentration levels determine proliferation or death of tumor cells, respectively. Numerical simulations of a reference two-dimensional problem are shown and commented, and a qualitative mathematical analysis of some of its key issues is proposed.
CHEMICAL ANALYSIS OF SIMULATED HIGH LEVEL WASTE GLASSES TO SUPPORT SULFATE SOLUBILITY MODELING
Fox, K.; Marra, J.
2014-08-14T23:59:59.000Z
The U.S. Department of Energy (DOE), Office of Environmental Management (EM) is sponsoring an international, collaborative project to develop a fundamental model for sulfate solubility in nuclear waste glass. The solubility of sulfate has a significant impact on the achievable waste loading for nuclear waste forms both within the DOE complex and to some extent at U.K. sites. The development of enhanced borosilicate glass compositions with improved sulfate solubility will allow for higher waste loadings and accelerated cleanup missions. Much of the previous work on improving sulfate retention in waste glasses has been done on an empirical basis, making it difficult to apply the findings to future waste compositions despite the large number of glass systems studied. A more fundamental, rather than empirical, model of sulfate solubility in glass, under development at Sheffield Hallam University (SHU), could provide a solution to the issues of sulfate solubility. The model uses the normalized cation field strength index as a function of glass composition to predict sulfate capacity, and has shown early success for some glass systems. The objective of the current scope is to mature the sulfate solubility model to the point where it can be used to guide glass composition development for DOE waste vitrification efforts, allowing for enhanced waste loadings and waste throughput. A series of targeted glass compositions was selected to resolve data gaps in the current model. SHU fabricated these glasses and sent samples to the Savannah River National Laboratory (SRNL) for chemical composition analysis. SHU will use the resulting data to enhance the sulfate solubility model and resolve any deficiencies. In this report, SRNL provides chemical analyses for simulated waste glasses fabricated SHU in support of sulfate solubility model development. A review of the measured compositions revealed that there are issues with the B{sub 2}O{sub 3} and Fe{sub 2}O{sub 3} concentrations missing their targeted values by a significant amount for several of the study glasses. SHU is reviewing the fabrication of these glasses and the chemicals used in batching them to identify the source of these issues. The measured sulfate concentrations were all below their targeted values. This is expected, as the targeted concentrations likely exceeded the solubility limit for sulfate in these glass compositions. Some volatilization of sulfate may also have occurred during fabrication of the glasses. Measurements of the other oxides in the study glasses were reasonably close to their targeted values
Evans, J.S.; Moeller, D.W.; Cooper, D.W.
1985-07-01T23:59:59.000Z
Analysis of the radiological health effects of nuclear power plant accidents requires models for predicting early health effects, cancers and benign thyroid nodules, and genetic effects. Since the publication of the Reactor Safety Study, additional information on radiological health effects has become available. This report summarizes the efforts of a program designed to provide revised health effects models for nuclear power plant accident consequence modeling. The new models for early effects address four causes of mortality and nine categories of morbidity. The models for early effects are based upon two parameter Weibull functions. They permit evaluation of the influence of dose protraction and address the issue of variation in radiosensitivity among the population. The piecewise-linear dose-response models used in the Reactor Safety Study to predict cancers and thyroid nodules have been replaced by linear and linear-quadratic models. The new models reflect the most recently reported results of the follow-up of the survivors of the bombings of Hiroshima and Nagasaki and permit analysis of both morbidity and mortality. The new models for genetic effects allow prediction of genetic risks in each of the first five generations after an accident and include information on the relative severity of various classes of genetic effects. The uncertainty in modeloling radiological health risks is addressed by providing central, upper, and lower estimates of risks. An approach is outlined for summarizing the health consequences of nuclear power plant accidents. 298 refs., 9 figs., 49 tabs.
Haihua Zhao; Per F. Peterson
2010-10-01T23:59:59.000Z
Thermal mixing and stratification phenomena play major roles in the safety of reactor systems with large enclosures, such as containment safety in current fleet of LWRs, long-term passive containment cooling in Gen III+ plants including AP-1000 and ESBWR, the cold and hot pool mixing in pool type sodium cooled fast reactor systems (SFR), and reactor cavity cooling system behavior in high temperature gas cooled reactors (HTGR), etc. Depending on the fidelity requirement and computational resources, 0-D steady state models (heat transfer correlations), 0-D lumped parameter based transient models, 1-D physical-based coarse grain models, and 3-D CFD models are available. Current major system analysis codes either have no models or only 0-D models for thermal stratification and mixing, which can only give highly approximate results for simple cases. While 3-D CFD methods can be used to analyze simple configurations, these methods require very fine grid resolution to resolve thin substructures such as jets and wall boundaries. Due to prohibitive computational expenses for long transients in very large volumes, 3-D CFD simulations remain impractical for system analyses. For mixing in stably stratified large enclosures, UC Berkeley developed 1-D models basing on Zuber’s hierarchical two-tiered scaling analysis (HTTSA) method where the ambient fluid volume is represented by 1-D transient partial differential equations and substructures such as free or wall jets are modeled with 1-D integral models. This allows very large reductions in computational effort compared to 3-D CFD modeling. This paper will present an overview on important thermal mixing and stratification phenomena in large enclosures for different reactors, major modeling methods and their advantages and limits, potential paths to improve simulation capability and reduce analysis uncertainty in this area for advanced reactor system analysis tools.
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Bouskill, N. J.; Riley, W. J.; Tang, J. Y.
2014-01-01T23:59:59.000Z
Accurate representation of ecosystem processes in land models is crucial for reducing predictive uncertainty in energy and greenhouse gas feedbacks with the climate. Here we describe an observational and modeling meta-analysis approach to benchmark land models, and apply the method to the land model CLM4.5 with two versions of belowground biogeochemistry. We focused our analysis on the aboveground and belowground responses to warming and nitrogen addition in high-latitude ecosystems, and identified absent or poorly parameterized mechanisms in CLM4.5. While the two model versions predicted similar soil carbon stock trajectories following both warming and nitrogen addition, other predicted variables (e.g., belowgroundmore »respiration) differed from observations in both magnitude and direction, indicating that CLM4.5 has inadequate underlying mechanisms for representing high-latitude ecosystems. On the basis of observational synthesis, we attribute the model–observation differences to missing representations of microbial dynamics, aboveground and belowground coupling, and nutrient cycling, and we use the observational meta-analysis to discuss potential approaches to improving the current models. However, we also urge caution concerning the selection of data sets and experiments for meta-analysis. For example, the concentrations of nitrogen applied in the synthesized field experiments (average = 72 kg ha-1 yr-1) are many times higher than projected soil nitrogen concentrations (from nitrogen deposition and release during mineralization), which precludes a rigorous evaluation of the model responses to likely nitrogen perturbations. Overall, we demonstrate that elucidating ecological mechanisms via meta-analysis can identify deficiencies in ecosystem models and empirical experiments.« less
Blair, N.
2010-01-01T23:59:59.000Z
power and renewable energy sources. o If the model includedmodels that contain other renewable sources (solar, geothermal, bio- power,
Blair, N.
2010-01-01T23:59:59.000Z
COVERED (From - To) Renewable Energy and Efficiency Modelingphotovoltaics renewable energy renewable energy certificatecoordinated by the Renewable Energy and Efficiency Modeling
Heftberger, Peter [University of Graz, Institute of Molecular Biosciences, Austria] [University of Graz, Institute of Molecular Biosciences, Austria; Kollmitzer, Benjamin [University of Graz, Institute of Molecular Biosciences, Austria] [University of Graz, Institute of Molecular Biosciences, Austria; Heberle, Frederick A [ORNL] [ORNL; Pan, Jianjun [ORNL] [ORNL; Rappolt, Michael [University of Leeds, UK] [University of Leeds, UK; Amenitsch, Heinz [Graz University of Technology] [Graz University of Technology; Kucerka, Norbert [Atomic Energy of Canada Limited (AECL), Canadian Neutron Beam Centre (CNBC) and Comenius University,] [Atomic Energy of Canada Limited (AECL), Canadian Neutron Beam Centre (CNBC) and Comenius University,; Katsaras, John [ORNL] [ORNL; Pabst, georg [University of Graz, Institute of Molecular Biosciences, Austria] [University of Graz, Institute of Molecular Biosciences, Austria
2014-01-01T23:59:59.000Z
The highly successful scattering density profile (SDP) model, used to jointly analyze small-angle X-ray and neutron scattering data from unilamellar vesicles, has been adapted for use with data from fully hydrated, liquid crystalline multilamellar vesicles (MLVs). Using a genetic algorithm, this new method is capable of providing high-resolution structural information, as well as determining bilayer elastic bending fluctuations from standalone X-ray data. Structural parameters such as bilayer thickness and area per lipid were determined for a series of saturated and unsaturated lipids, as well as binary mixtures with cholesterol. The results are in good agreement with previously reported SDP data, which used both neutron and X-ray data. The inclusion of deuterated and non-deuterated MLV neutron data in the analysis improved the lipid backbone information but did not improve, within experimental error, the structural data regarding bilayer thickness and area per lipid.
Chattopadhyay, Goutami; 10.1140/epjp/i2012-12043-9
2012-01-01T23:59:59.000Z
This study reports a statistical analysis of monthly sunspot number time series and observes non homogeneity and asymmetry within it. Using Mann-Kendall test a linear trend is revealed. After identifying stationarity within the time series we generate autoregressive AR(p) and autoregressive moving average (ARMA(p,q)). Based on minimization of AIC we find 3 and 1 as the best values of p and q respectively. In the next phase, autoregressive neural network (AR-NN(3)) is generated by training a generalized feedforward neural network (GFNN). Assessing the model performances by means of Willmott's index of second order and coefficient of determination, the performance of AR-NN(3) is identified to be better than AR(3) and ARMA(3,1).
Goutami Chattopadhyay; Surajit Chattopadhyay
2012-04-18T23:59:59.000Z
This study reports a statistical analysis of monthly sunspot number time series and observes non homogeneity and asymmetry within it. Using Mann-Kendall test a linear trend is revealed. After identifying stationarity within the time series we generate autoregressive AR(p) and autoregressive moving average (ARMA(p,q)). Based on minimization of AIC we find 3 and 1 as the best values of p and q respectively. In the next phase, autoregressive neural network (AR-NN(3)) is generated by training a generalized feedforward neural network (GFNN). Assessing the model performances by means of Willmott's index of second order and coefficient of determination, the performance of AR-NN(3) is identified to be better than AR(3) and ARMA(3,1).
C. Ainamon; C. H. Miwadinou; A. V. Monwanou; J. B. Chabi Orou
2014-02-14T23:59:59.000Z
This paper considers nonlinear dynamics of polarization oscillations when some materials when they are subjected to the action of an electromagnetic wave modeled by multifrequency forced Duffing equation. Multiresonance and chaotic behavior are analysed. For analysis of the case of resonance, the method of multiple scales is used and it has been found from the equation of the amplitudes for each of the possible resonance system. Possible resonances are inter alia the resonances or sub superharmonic, the primary resonance and other resonances called secondary. The phenomena of amplitude jump and hysteresis for polarization were observed and analyzed. Finally, the study of chaotic behavior for polarization was made by numerical simulation using the Runge- Kutta fourth order.
Superdeformed band in the $N = Z+4$ nucleus $^{40}$Ar: A projected shell model analysis
Yang, Ying-Chun; Sun, Yang; Guidry, Mike
2015-01-01T23:59:59.000Z
It has been debated whether the experimentally-identified superdeformed rotational band in $^{40}$Ar [E. Ideguchi, et al., Phys. Lett. B 686 (2010) 18] has an axially or triaxially deformed shape. Projected shell model calculations with angular-momentum-projection using an axially-deformed basis are performed up to high spins. Our calculated energy levels indicate a perfect collective-rotor behavior for the superdeformed yrast band. However, detailed analysis of the wave functions reveals that the high-spin structure is dominated by mixed 0-, 2-, and 4-quasiparticle configurations. The calculated electric quadrupole transition probabilities reproduce well the known experimental data and suggest a reduced, but still significant, collectivity in the high spin region. The deduced triaxial deformation parameters are small throughout the entire band, suggesting that triaxiality is not very important for this superdeformed band.
Tracking and Analysis Framework (TAF) model documentation and user`s guide
Bloyd, C.; Camp, J.; Conzelmann, G. [and others
1996-12-01T23:59:59.000Z
With passage of the 1990 Clean Air Act Amendments, the United States embarked on a policy for controlling acid deposition that has been estimated to cost at least $2 billion. Title IV of the Act created a major innovation in environmental regulation by introducing market-based incentives - specifically, by allowing electric utility companies to trade allowances to emit sulfur dioxide (SO{sub 2}). The National Acid Precipitation Assessment Program (NAPAP) has been tasked by Congress to assess what Senator Moynihan has termed this {open_quotes}grand experiment.{close_quotes} Such a comprehensive assessment of the economic and environmental effects of this legislation has been a major challenge. To help NAPAP face this challenge, the U.S. Department of Energy (DOE) has sponsored development of an integrated assessment model, known as the Tracking and Analysis Framework (TAF). This section summarizes TAF`s objectives and its overall design.