Edinburgh Motor Assessment (EMAS)
Bak, Thomas
2013-12-01
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 QA:QA J-E-1 SECTIONRobertsdale, AlabamaETEC GmbH Jump to:Providence,NewInformation at SantaTransmissionArea,Markets
Energy Materials Coordinating Committee (EMaCC)
Not Available
1991-05-31
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)
Generating gestural timing from EMA data using articulatory resynthesis
Steiner, I.; Richmond, Korin
2008-01-01
As part of ongoing work to integrate an articulatory synthesizer into a modular TTS platform, a method is presented which allows gestural timings to be generated automatically from EMA data. Further work is outlined which ...
Wu, Thomas
ABSTRACT A commercial electromechanical actuator (EMA) is to be dynamically tested identification experiments to observe controller performance. INTRODUCTION Electromechanical actuators (EMA) may, implemented and validated through physical testing. Dynamic Testing of Electromechanical Actuators Using Time
Energy Materials Coordinating Committee (EMaCC): Fiscal year 1996. Annual technical report
1997-08-01
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.
Energy Materials Coordinating Committee (EMaCC) Fiscal Year 1999 annual technical report
2000-10-31
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 2003
none,
2004-10-18
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. Topical subcommittees of the EMaCC are responsible for conducting seminars and otherwise facilitating information flow between DOE organizational units in materials areas of particular importance to the Department. The EMaCC Terms of Reference were recently modified and developed into a Charter that was approved on June 5, 2003. As a result of this reorganization, the existing subcommittees were disbanded and new subcommittees are being formed.
Energy Materials Coordinating Committee (EMaCC). Annual technical report, Fiscal Year 2001
None, None
2002-08-01
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...
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
Energy Materials Coordinating Committee (EMaCC): Annual technical report, fiscal year 1993
Not Available
1994-07-01
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.
Energy Materials Coordinating Committee (EMaCC). Annual Technical Report, Fiscal Year 2000
none,
2001-07-31
The Energy Materials Coordinating Committee Annual Report (attached, DOE/SC-0040) provides an annual summary of non-classified materials-related research programs supported by various elements within the Department of Energy. The EMaCC Annual Report is a useful working tool for project managers who want to know what is happening in other divisions, and it provides a guide for persons in industry and academia to the materials program within the Department. The major task of EMaCC this year was to make the Annual Report a more user-friendly document by removing redundant program information and shortening the project summaries.
Palo, P.A.; Meggitt, D.J.; Nordell, W.J.
1983-05-01
This paper presents a summary of the development and validation of undersea cable dynamics computer models by the Naval Civil Engineering Laboratory (NCEL) under the sponsorship of the Naval Facilities Engineering Command. These models allow for the analysis of both small displacement (strumming) and large displacement (static and dynamic) deformations of arbitrarily configured cable structures. All of the large displacement models described in this paper are available to the public. This paper does not emphasize the theoretical development of the models (this information is available in other references) but emphasizes the various features of the models, the comparisons between model output and experimental data, and applications for which the models have been used.
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
Energy materials coordinating committee (EMaCC). Annual technical report, fiscal year 2002
none,
2003-08-08
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. Topical subcommittees of the EMaCC are responsible for conducting seminars and otherwise facilitating information flow between DOE organizational units in materials areas of particular importance to the Department. The EMaCC Terms of Reference were recently modified and developed into a Charter that was approved on June 5, 2003. As a result of this reorganization, the existing subcommittees were disbanded and new subcommittees are being formed. The EMaCC Charter and the memorandum approving it are presented in the Appendix of this report. The FY 2002 budget summary for DOE Materials Activities is presented on page 8. The distribution of these funds between DOE laboratories, private industry, academia and other organizations is presented in tabular form on page 10. Following the budget summary is a set of detailed program descriptions for the FY 2002 DOE Materials activities. These descriptions are presented according to the organizational structure of the Department. A mission statement, a budget summary listing the project titles and FY 2002 funding, and detailed project summaries are presented for each Assistant Secretary office, the Office of Science, and the National Nuclear Security Administration. The project summaries also provide DOE, laboratory, academic and industrial contacts for each project, as appropriate.
Energy materials coordinating committee (EMaCC). Annual technical report, fiscal year 2004
none,
2005-08-31
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. Topical subcommittees of the EMaCC are responsible for conducting seminars and otherwise facilitating information flow between DOE organizational units in materials areas of particular importance to the Department. The EMaCC Terms of Reference were recently modified and developed into a Charter that was approved on June 5, 2003. As a result of this reorganization, the existing subcommittees were disbanded and new subcommittees are being formed. The FY 2004 budget summary for DOE Materials Activities is presented on page 8. The distribution of these funds between DOE laboratories, private industry, academia and other organizations is presented in tabular form on page 10. Following the budget summary is a set of detailed program descriptions for the FY 2004 DOE Materials activities. These descriptions are presented according to the organizational structure of the Department. A mission statement, a budget summary listing the project titles and FY 2004 funding, and detailed project summaries are presented for each Assistant Secretary office, the Office of Science, and the National Nuclear Security Administration. The project summaries also provide DOE, laboratory, academic and industrial contacts for each project, as appropriate.
Energy Materials Coordinating Committee (EMaCC), Fiscal year 1992. Annual technical report
Not Available
1993-05-01
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.
Stølen, Ketil
1 123 Model-Driven Risk Analysis The CORAS Approach | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | >springer.com ISBN 978-3-642-12322-1 Model-DrivenRiskAnalysis Mass Soldal Lund Bjørnar Solhaug Ketil Stølen Lund·Solhaug Stølen Lund · Solhaug · Stølen Model-Driven Risk Analysis The term"risk"is known from many
Lee, S.
2011-05-05
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.
Sandia Energy - Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Center (PV RTC), Photovoltaic Systems Evaluation Laboratory (PSEL), Renewable Energy, SMART Grid, Solar, Solar Newsletter, SunShot, Systems Analysis, Systems...
Innovative Corridors Initiative: Business Model Analysis
Shaheen, Susan; Lingham, Viginia; Finson, Rachel S.
2007-01-01
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
2013-01-01
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
Lee, S.
2011-05-17
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
2009-05-15
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 ...
Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel...
Broader source: Energy.gov (indexed) [DOE]
and individual summaries of the models and tools used for systems analysis of hydrogen and fuel cells. View the Overview Fact Sheet and Individual Summaries Overview Fact...
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
Sandia Energy - Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis ofSampleLignin-Feasting MicrobeMesa delAnalysis
Sandia Energy - Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis ofSampleLignin-Feasting MicrobeMesa delAnalysisCapabilities This
Sandia Energy - Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis ofSampleLignin-Feasting MicrobeMesa delAnalysisCapabilities
Sandia Energy - Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis ofSampleLignin-Feasting MicrobeMesaAnalysis Permalink Gallery
Sandia Energy - Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis ofSampleLignin-Feasting MicrobeMesaAnalysis Permalink
Stochastic multiscale models for fracture analysis of functionally graded materials
Rahman, Sharif
Stochastic multiscale models for fracture analysis of functionally graded materials Arindam three multiscale models, including sequential, invasive, and concurrent models, for fracture analysis methods for fracture reliability analysis. The par- ticle volume fractions, defined by a generic
Mathematical Model Analysis for Hg Flow
McDonald, Kirk
Mathematical Model Analysis for Hg Flow Yan Zhan SUNYSB April 20th, 2010 #12;Outline · Introduction Mechanism of Jet Breakup & Atomization Dynamic Problems in Hg Target Flow · Mathematical Model for Hg Flow Parameters Incompressible Flow (No MHD) Incompressible Flow (MHD) Proton Beam Energy Conversion
Sandia Energy - Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis ofSampleLignin-Feasting MicrobeMesa
Combustion instability modeling and analysis
Santoro, R.J.; Yang, V.; Santavicca, D.A.; Sheppard, E.J.
1995-12-31
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.
Analysis of RADTRAN transportation model
Resnikoff, M. [Radioactive Waste Management Associates, New York, NY (United States)
1990-10-01
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.
Sandia Energy - Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)Geothermal Energy &Water Power&Grid ActionModeling
Sandia Energy - Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)Geothermal Energy &Water Power&Grid ActionModeling
Sandia Energy - Techno-Economic Modeling, Analysis, and Support
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Modeling, Analysis, and Support Home Stationary Power Energy Conversion Efficiency Wind Energy Special Programs Techno-Economic Modeling, Analysis, and Support Techno-Economic...
Grid Monitoring, Modeling, and Analysis | ornl.gov
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Grid Monitoring, Modeling, and Analysis SHARE Grid Monitoring, Modeling, and Analysis The electric power industry has undergone extensive changes over the past several decades and...
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...
Static Model Analysis with Lattice-based Ontologies
Lickly, Ben
2012-01-01
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
Available instrumentation: Instrument Model/features Analysis
Eberhard, Marc O.
Available instrumentation: Instrument Model/features Analysis ICP-MS Perkin Elmer ELAN-DRCe with optional front-end Perkin Elmer series 200 HPLC. Available DRC gases include NH3 and O2. Virtually any element, notably metals. The instrument is equipped with a dedicated HPLC that allows differentiation
Applying Dataflow Analysis to Models Christian Saad
Bauer, Bernhard
] (based on the Eclipse Modeling Framework, EMF) Use dataflow analysis as a generic "programming language.all_predecessors()->including(self.name); ar d S t(St i ) nce Depen Detect strongly connected components (SCC) var pred : Set(String) := self
Update 3 to: A Dispersion Modeling Analysis of Downwash from...
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...
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 1 to: A Dispersion Modeling Analysis of Downwash from...
Office of Environmental Management (EM)
1 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Unit 1 Emissions in a Cycling Mode Update 1 to: A Dispersion Modeling Analysis of...
Aalborg Universitet Analysis and Modeling of Transformerless Photovoltaic Inverter Systems
Kerekes, Tamas
Aalborg Universitet Analysis and Modeling of Transformerless Photovoltaic Inverter Systems Kerekes and Modeling of Transformerless Photovoltaic Inverter Systems. Aalborg Universitet: Institut for Energiteknik from vbn.aau.dk on: juli 05, 2015 #12;Analysis and Modeling of Transformerless Photovoltaic Inverter
Week 2, Part 3 Network Analysis
Kersting, Kristian
Week 2, Part 3 Network Analysis 1. Install the WGCNA Package (Weighted Gene Coexpression Network? Clustering 1. Load the package EMA. We now want to explore the signature genes in more detail for the genes. 4. Plot the heatmap (function clustering.plot) and label patients by their membership to the good
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:Financing Tool Fits the Bill FinancingDepartment ofPowerScenario Analysis Model (HDSAM) (Argonne
Technical Cost Modeling - Life Cycle Analysis Basis for Program...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
- Life Cycle Analysis Basis for Program Focus Technical Cost Modeling - Life Cycle Analysis Basis for Program Focus Polymer Composites Research in the LM Materials Program Overview...
TSPA Model Development and Sensitivity Analysis of Processes...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
TSPA Model Development and Sensitivity Analysis of Processes Affecting Performance of a Salt Repository for Disposal of Heat-Generating Nuclear Waste TSPA Model Development and...
Update 5 to: A Dispersion Modeling Analysis of Downwash from...
Broader source: Energy.gov (indexed) [DOE]
Update 5 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant: Modeling Cycling Units 1, 2 plus One Baseload Unit More Documents & Publications...
Update 4 to: A Dispersion Modeling Analysis of Downwash from...
Broader source: Energy.gov (indexed) [DOE]
Update 4 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Unit 4 Emissions at Maximum and Minimum Loads More Documents &...
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
A Denotational Model for Component-Based Risk Analysis
Stølen, Ketil
A Denotational Model for Component-Based Risk Analysis Gyrd Brændeland1,2, , Atle Refsdal2 by traditional risk analysis methods. This paper ad- dresses this problem from a theoretical perspective by proposing a deno- tational model for component-based risk analysis. In order to model the probabilistic
MODELING ANALYSIS FOR GROUT HOPPER WASTE TANK
Lee, S.
2012-01-04
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.
Dynamical Systems Analysis of Various Dark Energy Models
Nandan Roy
2015-11-25
In this thesis, we used dynamical systems analysis to find the qualitative behaviour of some dark energy models. Specifically, dynamical systems analysis of quintessence scalar field models, chameleon scalar field models and holographic models of dark energy are discussed in this thesis.
Dynamical Systems Analysis of Various Dark Energy Models
Roy, Nandan
2015-01-01
In this thesis, we used dynamical systems analysis to find the qualitative behaviour of some dark energy models. Specifically, dynamical systems analysis of quintessence scalar field models, chameleon scalar field models and holographic models of dark energy are discussed in this thesis.
Turing Machine as an ecological model for Task Analysis
Frénod, Emmanuel
1 Turing Machine as an ecological model for Task Analysis Thierry Morineau, Emmanuel Frénod model is based on the Turing Machine formalism and takes into account the variety of situations that can opening a door. Keywords: Cognitive work analysis, task analysis, Turing machine, affordance #12;3 1
Research Article Automating Risk Analysis of Software Design Models
Miller, Barton P.
Research Article Automating Risk Analysis of Software Design Models Maxime Frydman,1 Guifré Ruiz,2 to reduce the need for costly human expertise to perform risk analysis in software, which is common of these secure development methodologies share one essential risk analysis activity, called threat modeling [4
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
SIMULATION, MODELING AND ANALYSIS OF A WATER TO AIR
SIMULATION, MODELING AND ANALYSIS OF A WATER TO AIR HEAT PUMP By ARUN SHENOY Bachelor December, 2004 #12;SIMULATION, MODELING AND ANALYSIS OF A WATER TO AIR HEAT PUMP Thesis Approved................................................................3 2.1. Equation fit water to air heat pump and chiller models...............................3 2
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
Bioproduct Life Cycle Analysis with the GREET Model
Office of Energy Efficiency and Renewable Energy (EERE)
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
Flexible regression models for ROC and risk analysis, with or without a gold standard.
Branscum, AJ; Johnson, WO; Hanson, TE; Baron, AT
2015-01-01
models for ROC and risk analysis, with or without a goldor biomarkers and risk analysis. The models and methods are
Update 2 to: A Dispersion Modeling Analysis of Downwash from...
Update 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...
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
2010-08-01
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
1993-12-31
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
2011-01-01
and NLOS UV Communication System Model . . . . . . 3.2.15.3 UV Communication Link and TransceiverUV NLOS communication system model in coplanar
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
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; Perez, Danielle
2014-10-01
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.
Full-System Power Analysis and Modeling for Server Environments
Kozyrakis, Christos
Full-System Power Analysis and Modeling for Server Environments Dimitris Economou, Suzanne Rivoire consumption trends and developing simple yet accurate models to predict full-system power. We study to generate a model by correlating AC power measurements with user-level system utilization metrics. We
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
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
ParaText : scalable text modeling and analysis.
Dunlavy, Daniel M.; Stanton, Eric T.; Shead, Timothy M.
2010-06-01
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.
Performance analysis and modeling of GYRO
Lively, Charles Wesley, III
2006-10-30
and the system used for execution. In particular, models can be used to predict the relative performance of different systems used to execute an application. Recently, a significant effort has been devoted to gaining a more detailed understanding...
Bayesian models for DNA microarray data analysis
Lee, Kyeong Eun
2005-08-29
Selection of signi?cant genes via expression patterns is important in a microarray problem. Owing to small sample size and large number of variables (genes), the selection process can be unstable. This research proposes a hierarchical Bayesian model...
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
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
Gaussian Observation Hidden Markov models for EEG analysis
Penny, Will
Gaussian Observation Hidden Markov models for EEG analysis William D. Penny and Stephen J. Roberts, Imperial College of Science, Technology and Medicine, London SW7 2BT., U.K. w.penny@ic.ac.uk, s
Modeling and analysis of multiclass thresholdbased queues with hysteresis using
Tuffin, Bruno
of communiÂ cation networks. The analysis is done using Stochastic Petri Nets and Fluid Stochastic Petri NetsModeling and analysis of multiÂclass thresholdÂbased queues with hysteresis using Stochastic Petri is transparent using an available Petri net package. Numerous numerical illustrations are given in order
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
Shape Analysis through Predicate Abstraction and Model Checking
Namjoshi, Kedar
Shape Analysis through Predicate Abstraction and Model Checking Dennis Dams and Kedar S. Namjoshi framework with the analysis of some "classical" list manipulation programs, using our implementa- tion on a "classical" list reversal program. A detailed de- scription of the experiments, including input and result
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
MODELING HUMAN RELIABILITY ANALYSIS USING MIDAS
Ronald L. Boring; Donald D. Dudenhoeffer; Bruce P. Hallbert; Brian F. Gore
2006-05-01
This paper summarizes an emerging collaboration between Idaho National Laboratory and NASA Ames Research Center regarding the utilization of high-fidelity MIDAS simulations for modeling control room crew performance at nuclear power plants. The key envisioned uses for MIDAS-based control room simulations are: (i) the estimation of human error with novel control room equipment and configurations, (ii) the investigative determination of risk significance in recreating past event scenarios involving control room operating crews, and (iii) the certification of novel staffing levels in control rooms. It is proposed that MIDAS serves as a key component for the effective modeling of risk in next generation control rooms.
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
Water Budget Analysis and Groundwater Inverse Modeling
Farid Marandi, Sayena
2012-07-16
and seasonality of local/regional hydrological processes. The model involved a transient two- dimensional hydrogeological simulation of the multi-layered aquifer. In the second part of the thesis, a Markov Chain Monte Carlo (MCMC) method were developed to estimate...
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
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
MARKET SYSTEMS MODELING FOR PUBLIC VERSUS PRIVATE TRADEOFF ANALYSIS IN
Papalambros, Panos
MARKET SYSTEMS MODELING FOR PUBLIC VERSUS PRIVATE TRADEOFF ANALYSIS IN OPTIMAL VEHICLE DESIGN from a market system approach that includes the ability to change vehicle design are most valuable&D investment. Additionally, integrating engineering design models in a market system context begins to provide
ANALYSIS OF HEPATITIS C VIRUS INFECTION MODELS WITH HEPATOCYTE HOMEOSTASIS
Reluga, Tim
ANALYSIS OF HEPATITIS C VIRUS INFECTION MODELS WITH HEPATOCYTE HOMEOSTASIS TIMOTHY C. RELUGA ALAMOS NATIONAL LABORATORY LOS ALAMOS, NM 87545 Abstract. Recently, we developed a model for hepatitis C infections with hepatotropic viruses, such as hepatitis B virus. Key words. HCV, viral dynamics, bifurcation
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
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
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
Compartmentalization analysis using discrete fracture network models
La Pointe, P.R.; Eiben, T.; Dershowitz, W.; Wadleigh, E.
1997-08-01
This paper illustrates how Discrete Fracture Network (DFN) technology can serve as a basis for the calculation of reservoir engineering parameters for the development of fractured reservoirs. It describes the development of quantitative techniques for defining the geometry and volume of structurally controlled compartments. These techniques are based on a combination of stochastic geometry, computational geometry, and graph the theory. The parameters addressed are compartment size, matrix block size and tributary drainage volume. The concept of DFN models is explained and methodologies to compute these parameters are demonstrated.
Sandia Energy - PV Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)Geothermal Energy &WaterNew CREWOnline Abstracts andPV Modeling &
A model waste analysis plan for commercial BIF facilities
Gossmann, D.; Woodford, J.
1997-12-31
EPA`s guidance, to date, of Waste Analysis Plans has failed to provide specific recommendations for the special needs of commercial BIF facilities. EPA has instead focused primarily on traditional incinerator and landfill options for hazardous waste management. In order to fill this gap, a model waste analysis plan for commercial BIF facilities is developed along with the rationale for key features. 5 tabs.
On two-sample data analysis by exponential model
Choi, Sujung
2005-11-01
............... 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; Perez, Danielle; Williamson, Richard
2013-05-01
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.
2014-01-01
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...
Uncertainty and sensitivity analysis for photovoltaic system modeling.
Hansen, Clifford W.; Pohl, Andrew Phillip; Jordan, Dirk
2013-12-01
We report an uncertainty and sensitivity analysis for modeling DC energy from photovoltaic systems. We consider two systems, each comprised of a single module using either crystalline silicon or CdTe cells, and located either at Albuquerque, NM, or Golden, CO. Output from a PV system is predicted by a sequence of models. Uncertainty in the output of each model is quantified by empirical distributions of each model's residuals. We sample these distributions to propagate uncertainty through the sequence of models to obtain an empirical distribution for each PV system's output. We considered models that: (1) translate measured global horizontal, direct and global diffuse irradiance to plane-of-array irradiance; (2) estimate effective irradiance from plane-of-array irradiance; (3) predict cell temperature; and (4) estimate DC voltage, current and power. We found that the uncertainty in PV system output to be relatively small, on the order of 1% for daily energy. Four alternative models were considered for the POA irradiance modeling step; we did not find the choice of one of these models to be of great significance. However, we observed that the POA irradiance model introduced a bias of upwards of 5% of daily energy which translates directly to a systematic difference in predicted energy. Sensitivity analyses relate uncertainty in the PV system output to uncertainty arising from each model. We found that the residuals arising from the POA irradiance and the effective irradiance models to be the dominant contributors to residuals for daily energy, for either technology or location considered. This analysis indicates that efforts to reduce the uncertainty in PV system output should focus on improvements to the POA and effective irradiance models.
PACKAGE IMPACT MODELS AS A PRECURSOR TO CLADDING ANALYSIS
Klymyshyn, Nicholas A.; Adkins, Harold E.; Bajwa, Christopher S.; Piotter, Jason
2013-02-01
The evaluation of spent nuclear fuel storage casks and transportation packages under impact loading is an important safety topic that is reviewed as part of cask and package certification by the United States Nuclear Regulatory Commission. Explicit dynamic finite element models of full systems are increasingly common in industry for determining structural integrity during hypothetical drop accidents. Full cask and package model results are also used as the loading basis for single fuel pin impact models, which evaluate the response of fuel cladding under drop conditions. In this paper, a simplified package system is evaluated to illustrate several important structural dynamic phenomena, including the effect of gaps between components, the difference in local response at various points on a package during impact, and the effect of modeling various simplified representations of the basket and fuel assemblies. This paper focuses on the package impact analysis, and how loading conditions for a subsequent fuel assembly or fuel cladding analysis can be extracted.
Phase space analysis of some interacting Chaplygin gas models
M. Khurshudyan; R. Myrzakulov
2015-09-08
The goal of this paper is to discuss phase space analysis of some interacting Chaplygin gas models in General Relativity. Chaplygin gas is one of the fluids actively considered in modern cosmology due to the fact that it is a joint model of dark energy and dark matter. In this paper we have considered various forms of interaction term Q including linear and non linear sign changeable interactions. For each case late time attractors for the field equations are found.
Water Rights Analysis Package (WRAP) Daily Modeling System
Wurbs, R.; Hoffpauir, R.
2012-10-01
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...
Network and adaptive system of systems modeling and analysis.
Lawton, Craig R.; Campbell, James E. Dr.; Anderson, Dennis James; Eddy, John P.
2007-05-01
This report documents the results of an LDRD program entitled ''Network and Adaptive System of Systems Modeling and Analysis'' that was conducted during FY 2005 and FY 2006. The purpose of this study was to determine and implement ways to incorporate network communications modeling into existing System of Systems (SoS) modeling capabilities. Current SoS modeling, particularly for the Future Combat Systems (FCS) program, is conducted under the assumption that communication between the various systems is always possible and occurs instantaneously. A more realistic representation of these communications allows for better, more accurate simulation results. The current approach to meeting this objective has been to use existing capabilities to model network hardware reliability and adding capabilities to use that information to model the impact on the sustainment supply chain and operational availability.
Wind energy conversion system analysis model (WECSAM) computer program documentation
Downey, W T; Hendrick, P L
1982-07-01
Described is a computer-based wind energy conversion system analysis model (WECSAM) developed to predict the technical and economic performance of wind energy conversion systems (WECS). The model is written in CDC FORTRAN V. The version described accesses a data base containing wind resource data, application loads, WECS performance characteristics, utility rates, state taxes, and state subsidies for a six state region (Minnesota, Michigan, Wisconsin, Illinois, Ohio, and Indiana). The model is designed for analysis at the county level. The computer model includes a technical performance module and an economic evaluation module. The modules can be run separately or together. The model can be run for any single user-selected county within the region or looped automatically through all counties within the region. In addition, the model has a restart capability that allows the user to modify any data-base value written to a scratch file prior to the technical or economic evaluation. Thus, any user-supplied data for WECS performance, application load, utility rates, or wind resource may be entered into the scratch file to override the default data-base value. After the model and the inputs required from the user and derived from the data base are described, the model output and the various output options that can be exercised by the user are detailed. The general operation is set forth and suggestions are made for efficient modes of operation. Sample listings of various input, output, and data-base files are appended. (LEW)
Multi-State Load Models for Distribution System Analysis
Schneider, Kevin P.; Fuller, Jason C.; Chassin, David P.
2011-11-01
Recent work in the field of distribution system analysis has shown that the traditional method of peak load analysis is not adequate for the analysis of emerging distribution system technologies. Voltage optimization, demand response, electric vehicle charging, and energy storage are examples of technologies with characteristics having daily, seasonal, and/or annual variations. In addition to the seasonal variations, emerging technologies such as demand response and plug in electric vehicle charging have the potential to send control signals to the end use loads which will affect how they consume energy. In order to support time-series analysis over different time frames and to incorporate potential control signal inputs it is necessary to develop detailed end use load models which accurately represent the load under various conditions, and not just during the peak load period. This paper will build on previous work on detail end use load modeling in order to outline the method of general multi-state load models for distribution system analysis.
VHTR Prismatic Super Lattice Model for Equilibrium Fuel Cycle Analysis
G. S. Chang
2006-09-01
The advanced Very High Temperature gas-cooled Reactor (VHTR), which is currently being developed, achieves simplification of safety through reliance on innovative features and passive systems. One of the VHTRs innovative features is the reliance on ceramic-coated fuel particles to retain the fission products under extreme accident conditions. The effect of the random fuel kernel distribution in the fuel prismatic block is addressed through the use of the Dancoff correction factor in the resonance treatment. However, if the fuel kernels are not perfect black absorbers, the Dancoff correction factor is a function of burnup and fuel kernel packing factor, which requires that the Dancoff correction factor be updated during Equilibrium Fuel Cycle (EqFC) analysis. An advanced Kernel-by-Kernel (K-b-K) hexagonal super lattice model can be used to address and update the burnup dependent Dancoff effect during the EqFC analysis. The developed Prismatic Super Homogeneous Lattice Model (PSHLM) is verified by comparing the calculated burnup characteristics of the double-heterogeneous Prismatic Super Kernel-by-Kernel Lattice Model (PSK-b-KLM). This paper summarizes and compares the PSHLM and PSK-b-KLM burnup analysis study and results. This paper also discusses the coupling of a Monte-Carlo code with fuel depletion and buildup code, which provides the fuel burnup analysis tool used to produce the results of the VHTR EqFC burnup analysis.
Settlement Prediction, Gas Modeling and Slope Stability Analysis
Politècnica de Catalunya, Universitat
Settlement Prediction, Gas Modeling and Slope Stability Analysis in Coll Cardús Landfill Li Yu UNIVERSIDAD POLITÉCNICA DE CATALUÑA April, 2007 GEOMODELS #12;Introduction to Coll Cardús landfill Prediction of settlement in Coll Cardús landfill 1) Settlement prediction by empirical method 2) Settlement prediction
Modelling and Analysis of Phase Variation in Bacterial Colony Growth
Gilbert, David
Modelling and Analysis of Phase Variation in Bacterial Colony Growth Ovidiu P^arvu1 , David Gilbert, Brandenburg University of Technology monika.heiner@informatik.tu-cottbus.de 3 Harbin Institute of Technology case study, namely phase variation patterning in bacterial colony growth, forming circular colonies
Thermodynamics cycle analysis and numerical modeling of thermoelastic cooling systems
Rubloff, Gary W.
Thermodynamics cycle analysis and numerical modeling of thermoelastic cooling systems Suxin Qian level. However, a thermoelastic cooling system integrated with heat transfer fluid loops have not been;2012) (a.k.a. elastocaloric cooling). These solid-state cooling systems offer us alternatives to eliminate
Numerical modelling and analysis of a room temperature magnetic
and analysis of a room temperature magnetic refrigeration system Department: Fuel Cells and Solid State are separated by channels of a heat transfer fluid. The time-dependent model solves the momentum and continuity equations of the flow of the heat transfer fluid and the coupled energy equations of the heat transfer
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
Thermal effects in adhesive contact: modelling and analysis Elena Bonetti
Rossi, Riccarda
Thermal effects in adhesive contact: modelling and analysis Elena Bonetti , Giovanna Bonfanti , Riccarda Rossi Abstract In this paper, we consider a contact problem with adhesion between a viscoelastic equations, describing the evolution of the temperatures of the body and of the adhesive material. Our main
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
Waste-To-Energy Feasibility Analysis: A Simulation Model
Sekhon, Jasjeet S.
Waste- To- Energy Feasibility Analysis: A Simulation Model Viet- An Duong College of Engineering://www.funginstitute.berkeley.edu/sites/default/ les/WasteToEnergy.pdf May 1, 2014 130 Blum Hall #5580 Berkeley, CA 94720-5580 | (510) 664-4337 | www-4337 | www.funginstitute.berkeley.edu #12;Abstract: The search for renewable and clean energies is one
Analysis of a chaotic spiking neural model: The NDS neuron
Mohammad Alhawarat; Waleed Nazih; Mohammad Eldesouki
2014-08-16
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.
Infiltration modeling guidelines for commercial building energy analysis
Gowri, Krishnan; Winiarski, David W.; Jarnagin, Ronald E.
2009-09-30
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.
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.; Wi
2009-09-01
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.
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.
2009-09-01
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.
A Linear Circuit Model For Social Influence Analysis
Xiang, Biao; Liu, Qi; Xiong, Hui
2012-01-01
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...
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
Integration of Facility Modeling Capabilities for Nuclear Nonproliferation Analysis
Humberto E. Garcia
2012-01-01
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.
2011-07-18
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.
Detailed End Use Load Modeling for Distribution System Analysis
Schneider, Kevin P.; Fuller, Jason C.
2010-04-09
The field of distribution system analysis has made significant advances in the past ten years. It is now standard practice when performing a power flow simulation to use an algorithm that is capable of unbalanced per-phase analysis. Recent work has also focused on examining the need for time-series simulations instead of examining a single time period, i.e., peak loading. One area that still requires a significant amount of work is the proper modeling of end use loads. Currently it is common practice to use a simple load model consisting of a combination of constant power, constant impedance, and constant current elements. While this simple form of end use load modeling is sufficient for a single point in time, the exact model values are difficult to determine and it is inadequate for some time-series simulations. This paper will examine how to improve simple time invariant load models as well as develop multi-state time variant models.
Peer Review of NRC Standardized Plant Analysis Risk Models
Anthony Koonce; James Knudsen; Robert Buell
2011-03-01
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.
2013-09-20
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.
Modeling air pollution in the Tracking and Analysis Framework (TAF)
Shannon, J.D.
1998-12-31
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.
Nonrigid Motion Analysis Based on Dynamic Refinement of Finite Element Models
Sarkar, Sudeep
Nonrigid Motion Analysis Based on Dynamic Refinement of Finite Element Models Leonid V. Tsap finite element models. The method is based on the iterative analysis of the differences betweenÃPhysically-based vision, deformable models, nonrigid motion analysis, biomedical applications, finite element analysis. Ã¦
Solid waste integrated cost analysis model: 1991 project year report
Not Available
1991-01-01
The purpose of the City of Houston's 1991 Solid Waste Integrated Cost Analysis Model (SWICAM) project was to continue the development of a computerized cost analysis model. This model is to provide solid waste managers with tool to evaluate the dollar cost of real or hypothetical solid waste management choices. Those choices have become complicated by the implementation of Subtitle D of the Resources Conservation and Recovery Act (RCRA) and the EPA's Integrated Approach to managing municipal solid waste;. that is, minimize generation, maximize recycling, reduce volume (incinerate), and then bury (landfill) only the remainder. Implementation of an integrated solid waste management system involving all or some of the options of recycling, waste to energy, composting, and landfilling is extremely complicated. Factors such as hauling distances, markets, and prices for recyclable, costs and benefits of transfer stations, and material recovery facilities must all be considered. A jurisdiction must determine the cost impacts of implementing a number of various possibilities for managing, handling, processing, and disposing of waste. SWICAM employs a single Lotus 123 spreadsheet to enable a jurisdiction to predict or assess the costs of its waste management system. It allows the user to select his own process flow for waste material and to manipulate the model to include as few or as many options as he or she chooses. The model will calculate the estimated cost for those choices selected. The user can then change the model to include or exclude waste stream components, until the mix of choices suits the user. Graphs can be produced as a visual communication aid in presenting the results of the cost analysis. SWICAM also allows future cost projections to be made.
Energy conserving Anisotropic Anhysteretic Magnetic Modelling for Finite Element Analysis
Jens Krause
2012-12-20
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.
NREL's System Advisor Model Simplifies Complex Energy Analysis (Fact Sheet)
Not Available
2015-01-01
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.
2005-01-01
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:Financing Tool Fits the Bill FinancingDepartment ofPowerScenario Analysis Model (HDSAM)
Stochastic particle models and methods in risk analysis P. Del Moral (INRIA research team ALEA)
Del Moral , Pierre
Stochastic particle models and methods in risk analysis P. Del Moral (INRIA research team ALEA efficiency, food risk analysis, bacterial propagations. System reliability : production chains, offshore
Validation Analysis of the Shoal Groundwater Flow and Transport Model
A. Hassan; J. Chapman
2008-11-01
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
2015-01-01
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...
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
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...
Advanced Combustion/Modeling and Analysis Toward HCCI/PCCI in...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
CombustionModeling and Analysis Toward HCCIPCCI in a 60% Efficient Free-Piston Engine Advanced CombustionModeling and Analysis Toward HCCIPCCI in a 60% Efficient Free-Piston...
Critical Updates to the Hydrogen Analysis Production Model (H2A...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Critical Updates to the Hydrogen Analysis Production Model (H2A v3) Critical Updates to the Hydrogen Analysis Production Model (H2A v3) Presentation slides from the February 8,...
Responsibility Modelling for Risk Analysis Russell Lock, Tim Storer & Ian Sommerville
Sommerville, Ian
Responsibility Modelling for Risk Analysis Russell Lock, Tim Storer & Ian Sommerville School INTRODUCTION Existing risk analysis techniques commonly focus on the interaction of technical aspects election process. We believe Responsibilities are a natural form of expression for risk analysis within
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
Aalborg Universitet Model Order Reductions for Stability Analysis of Islanded Microgrids with Droop
Vasquez, Juan Carlos
Aalborg Universitet Model Order Reductions for Stability Analysis of Islanded Microgrids with Droop. C., & Guerrero, J. M. (2015). Model Order Reductions for Stability Analysis of Islanded Microgrids.aau.dk on: juli 07, 2015 #12;1 Model Order Reductions for Stability Analysis of Islanded Microgrids
Motility of a Model Bristle-Bot: a Theoretical Analysis
Giancarlo Cicconofri; Antonio DeSimone
2014-10-22
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.
Material model calibration through indentation test and stochastic inverse analysis
Buljak, Vladimir
2015-01-01
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...
Nonstandard Analysis Applied to Advanced Undergraduate Mathematics - Infinitesimal Modeling
Robert A. Herrmann
2007-12-02
This is a Research and Instructional Development Project from the U. S. Naval Academy. In this monograph, the basic methods of nonstandard analysis for n-dimensional Euclidean spaces are presented. Specific rules are deveoped and these methods and rules are applied to rigorous integral and differential modeling. The topics include Robinson infinitesimals, limited and infinite numbers; convergence theory, continuity, *-transfer, internal definition, hyprefinite summation, Riemann-Stieltjes integration over Jordan-measurable regions; modeling with integrals via Infinite Sum Theorems; the nonstandard integral modeling rules - the method of constants, the methods of max. and min., and the hyperfinite sum; pure infinitesimal integral modeling via geometric elements; microgeometry, line and surface integrals, gauge integrals, fluxions and their relations to dynamic geometry. These rigorous results are also applied to lengths of curves, areas and volumes for Jordan-measurable regions, incompressible fluids, moments of inertia, electric field vectors, force fields and very elementary physics. Also presented are rigorous differential derivations for the partial differential equations for internal heat transfer and the vibrating membrane. All results are rigorously established and, mostly, all proofs appear in the appendix.
Parallel and Statistical Analysis and Modeling of Nanometer VLSI Systems
Liu, Xue-Xin
2013-01-01
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.
Modeling capsid self-assembly: Design and analysis
D. C. Rapaport
2010-06-22
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; Jeong, Hae-Yong; Wigeland, Roald; Corradini, Michael; Schmidt, Rodney Cannon; Thomas, Justin; Wei, Tom; Sofu, Tanju; Ludewig, Hans; Tobita, Yoshiharu; Ohshima, Hiroyuki; Serre, Frederic
2011-06-01
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.
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
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 ...
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 ...
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
1999-09-01
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.
Modeling and analysis of water-hammer in coaxial pipes
Cesana, Pierluigi
2015-01-01
The fluid-structure interaction is studied for a system composed of two coaxial pipes in an annular geometry, for both homogeneous isotropic metal pipes and fiber-reinforced (anisotropic) pipes. Multiple waves, traveling at different speeds and amplitudes, result when a projectile impacts on the water filling the annular space between the pipes. In the case of carbon fiber-reinforced plastic thin pipes we compute the wavespeeds, the fluid pressure and mechanical strains as functions of the fiber winding angle. This generalizes the single-pipe analysis of J. H. You, and K. Inaba, Fluid-structure interaction in water-filled pipes of anisotropic composite materials, J. Fl. Str. 36 (2013). Comparison with a set of experimental measurements seems to validate our models and predictions.
Probabilistic Analysis of Onion Routing in a Black-box Model JOAN FEIGENBAUM, Yale University
, Tor 1. INTRODUCTION Every day, half a million people use the onion-routing network Tor [Dingledine etA Probabilistic Analysis of Onion Routing in a Black-box Model JOAN FEIGENBAUM, Yale University a probabilistic analysis of onion routing. The analysis is presented in a black-box model of anonymous
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 risk analysis; Plant layout *Corresponding author. Phone: +52-461-611-7575 Ext. 5577. E-mail: arturo of plant layout with safety considerations. The model considers a quantitative risk analysis to take safety
Dual-use tools and systematics-aware analysis workflows in the ATLAS Run-II analysis model
FARRELL, Steven; The ATLAS collaboration
2015-01-01
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
2015-01-01
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.
1999-11-14
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
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; Gilbert, Bob; Lake, Larry W.; Weiss, Chester Joseph; Lorenz, John Clay; Elbring, Gregory Jay; Wheeler, Mary Fanett; Thomas, Sunil G.; Rightley, Michael J.; Rodriguez, Adolfo; Klie, Hector; Banchs, Rafael; Nunez, Emilio J.; Jablonowski, Chris
2006-11-01
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.
1993-12-31
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.
Analysis of Software Evolvability in Quality Models Hongyu Pei Breivold1, Ivica Crnkovic2
Becker, Steffen
Analysis of Software Evolvability in Quality Models Hongyu Pei Breivold1, Ivica Crnkovic2 1ABB analyze several existing quality models for the purpose of evaluating how software evolvability is that although none of the existing quality models is dedicated to the analysis of software evolvability, we can
Driver Models For Timing And Noise Analysis Bogdan Tutuianu and Ross Baldick
Baldick, Ross
Driver Models For Timing And Noise Analysis Bogdan Tutuianu and Ross Baldick Abstract and ways to model and analyze it is given in [23]. Other tools and methodologies for functional noise analysis are proposed in [19], [10] and [1]. Special circuit modeling techniques to asses global noise
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
Modeling and Analysis of Large-Scale On-Chip Interconnects
Feng, Zhuo
2010-07-14
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...
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...
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
Office of Energy Efficiency and Renewable Energy (EERE)
Pumped Storage Hydropower (Detailed Analysis to Demonstrate Value)-Modeling and Analysis of Value of Advanced Pumped Storage Hydropower in the U.S.
Yang, Dihang
2015-01-01
ECDLL Noise Analysis . . . . . . . .discrete-time phase noiseLine (MDL) Phase Noise Model . . . . . . . . . . . . . . .
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
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.
2013 CEF RUN - PHASE 1 DATA ANALYSIS AND MODEL VALIDATION
Choi, A.
2014-05-08
Phase 1 of the 2013 Cold cap Evaluation Furnace (CEF) test was completed on June 3, 2013 after a 5-day round-the-clock feeding and pouring operation. The main goal of the test was to characterize the CEF off-gas produced from a nitric-formic acid flowsheet feed and confirm whether the CEF platform is capable of producing scalable off-gas data necessary for the revision of the DWPF melter off-gas flammability model; the revised model will be used to define new safety controls on the key operating parameters for the nitric-glycolic acid flowsheet feeds including total organic carbon (TOC). Whether the CEF off-gas data were scalable for the purpose of predicting the potential flammability of the DWPF melter exhaust was determined by comparing the predicted H{sub 2} and CO concentrations using the current DWPF melter off-gas flammability model to those measured during Phase 1; data were deemed scalable if the calculated fractional conversions of TOC-to-H{sub 2} and TOC-to-CO at varying melter vapor space temperatures were found to trend and further bound the respective measured data with some margin of safety. Being scalable thus means that for a given feed chemistry the instantaneous flow rates of H{sub 2} and CO in the DWPF melter exhaust can be estimated with some degree of conservatism by multiplying those of the respective gases from a pilot-scale melter by the feed rate ratio. This report documents the results of the Phase 1 data analysis and the necessary calculations performed to determine the scalability of the CEF off-gas data. A total of six steady state runs were made during Phase 1 under non-bubbled conditions by varying the CEF vapor space temperature from near 700 to below 300°C, as measured in a thermowell (T{sub tw}). At each steady state temperature, the off-gas composition was monitored continuously for two hours using MS, GC, and FTIR in order to track mainly H{sub 2}, CO, CO{sub 2}, NO{sub x}, and organic gases such as CH{sub 4}. The standard deviation of the average vapor space temperature during each steady state ranged from 2 to 6°C; however, those of the measured off-gas data were much larger due to the inherent cold cap instabilities in the slurry-fed melters. In order to predict the off-gas composition at the sampling location downstream of the film cooler, the measured feed composition was charge-reconciled and input into the DWPF melter off-gas flammability model, which was then run under the conditions for each of the six Phase 1 steady states. In doing so, it was necessary to perform an overall heat/mass balance calculation from the melter to the Off-Gas Condensate Tank (OGCT) in order to estimate the rate of air inleakage as well as the true gas temperature in the CEF vapor space (T{sub gas}) during each steady state by taking into account the effects of thermal radiation on the measured temperature (T{sub tw}). The results of Phase 1 data analysis and subsequent model runs showed that the predicted concentrations of H{sub 2} and CO by the DWPF model correctly trended and further bounded the respective measured data in the CEF off-gas by over predicting the TOC-to-H{sub 2} and TOC-to-CO conversion ratios by a factor of 2 to 5; an exception was the 7X over prediction of the latter at T{sub gas} = 371°C but the impact of CO on the off-gas flammability potential is only minor compared to that of H{sub 2}. More importantly, the seemingly-excessive over prediction of the TOC-to-H{sub 2} conversion by a factor of 4 or higher at T{sub gas} < ~350°C was attributed to the conservative antifoam decomposition scheme added recently to the model and therefore is considered a modeling issue and not a design issue. At T{sub gas} > ~350°C, the predicted TOC-to-H{sub 2} conversions were closer to but still higher than the measured data by a factor of 2, which may be regarded as adequate from the safety margin standpoint. The heat/mass balance calculations also showed that the correlation between T{sub tw} and T{sub gas} in the CEF vapor space was close to that of the ½ scale SGM, whose data were ta
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
On a tensor-based finite element model for the analysis of shell structures
Arciniega Aleman, Roman Augusto
2006-04-12
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 ...
Bardhan, Jaydeep Porter, 1978-
2006-01-01
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 ...
Analysis and behavioral modeling of the Finite State Machines of the Xpress Transfer Protocol
Madduri, Venkateswara Rao
1994-01-01
. 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...
Reliability Analysis of Settlement Using an Updated Probabilistic Unified Soil Compression Model
Ambrose, Avery
2012-02-14
unified soil compression model. The model is then used to estimate the settlement of an embankment. Lastly, a reliability analysis of settlement is carried out on the settlement estimate of the embankment. The new probabilistic unified soil compression...
Modeling and analysis of a maneuvering aircraft and cable towed body with wake effects
Hall, Jacob Thomas
2010-01-01
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 ...
The ICF, Inc. coal and electric utilities model : an analysis and evaluation
Wood, David O.
1981-01-01
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 ...
Cross-industry Performance Modeling: Toward Cooperative Analysis
Reece, Wendy Jane; Blackman, Harold Stabler
1998-10-01
One of the current unsolved problems in human factors is the difficulty in acquiring information from lessons learned and data collected among human performance analysts in different domains. There are several common concerns and generally accepted issues of importance for human factors, psychology and industry analysts of performance and safety. Among these are the need to incorporate lessons learned in design, to carefully consider implementation of new designs and automation, and the need to reduce human performance-based contributions to risk. In spite of shared concerns, there are several roadblocks to widespread sharing of data and lessons learned from operating experience and simulation, including the fact that very few publicly accessible data bases exist (Gertman & Blackman, 1994, and Kirwan, 1997). There is a need to draw together analysts and analytic methodologies to comprise a centralized source of data with sufficient detail to be meaningful while ensuring source anonymity. We propose that a generic source of performance data and a multi-domain data store may provide the first steps toward cooperative performance modeling and analysis across industries.
Modeling and analysis of an ultra-stable subluminal laser
Zhou, Zifan; Zhou, Minchuan; Wang, Ye; Heifetz, Alexander; Shahriar, Selim M
2015-01-01
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
2012-01-01
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.
1996-12-01
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
2015-06-29
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 ...
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
Automated Analysis of Software Designs with Graphic Quality Models Department of Computer Science
Zhu, Hong
Automated Analysis of Software Designs with Graphic Quality Models QIAN ZHANG Department@brookes.ac.uk Abstract: Software quality models play a significant role in software quality assurance. Based on our previous work on graphic modelling of software quality, this paper extends the quality modelling language
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
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
2014-06-01
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.
Application of Bayesian Hierarchical Models in Genetic Data Analysis
Zhang, Lin
2012-08-15
: : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 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...
ACTINIDE REMOVAL PROCESS SAMPLE ANALYSIS, CHEMICAL MODELING, AND FILTRATION EVALUATION
Martino, C.; Herman, D.; Pike, J.; Peters, T.
2014-06-05
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.
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 Risø National Laboratory Vestas Wind Systems A/S #12;#12;I Modelling and Analysis of Variable Speed Wind Turbines with Induction Generator during Grid Fault by Sigrid M. Bolik Institute of Energy
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
Macro-System Model for Hydrogen Energy Systems Analysis in Transportation: Preprint
Diakov, V.; Ruth, M.; Sa, T. J.; Goldsby, M. E.
2012-06-01
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.
HASARD: A Model-Based Method for Quality Analysis of Software Architecture
Zhu, Hong
HASARD: A Model-Based Method for Quality Analysis of Software Architecture Hong Zhu Department for the analysis of software quality as entailed in software architectural designs. In this method, quality hazards architectural designs to predict their quality. 1.1 Motivation Software architecture is a structural model
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
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
C. AMMERMAN; J. BERNARDIN
1999-11-01
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.
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
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
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...
Hydrogen Technology Analysis: H2A Production Model Update (Presentation)
Ramsden, T.
2007-05-15
This presentation by Todd Ramsden at the 2007 DOE Hydrogen Program Annual Merit Review Meeting provides information about NREL's hydrogen technology analysis activities.
Modeling aviation's global emissions, uncertainty analysis, and applications to policy
Lee, Joosung Joseph, 1974-
2005-01-01
(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)
1991-01-01
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 ...
Functional ANOVA Models: Convex-concave approach and concurvity analysis
theme is that the occurrence of concurvity obstructs the interpretation of the models studied in both in [1], which provide an extension of the standard linear regression model while retaining the non
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
A Pragmatic Business Analysis Model for Telecom Operators
Kwete, Eric Kwete Mwana
2010-05-14
................................................................................................................................... 33 Cost Analysis – Labor .............................................................................................................................. 34 Cost Analysis – CapEx... is to develop ways to reduce Operational Expenditure (OpEx). The impact of OpEx savings strategies could well benefit Capital Expenditure (CapEx) forecasts. For example, choosing to disconnect underutilized T1 circuits could save ports on a switch hence...
Analysis Model for Domestic Hot Water Distribution Systems: Preprint
Maguire, J.; Krarti, M.; Fang, X.
2011-11-01
A thermal model was developed to estimate the energy losses from prototypical domestic hot water (DHW) distribution systems for homes. The developed model, using the TRNSYS simulation software, allows researchers and designers to better evaluate the performance of hot water distribution systems in homes. Modeling results were compared with past experimental study results and showed good agreement.
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
2010-01-01
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.
2012-03-01
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.
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
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
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
Gosavi, Abhijit
Pollution Control in a Manufacturing System Stochastic Models for Analysis and Control of Air Pollution in a Manufacturing System Jan, 1, 2005 Technical Report SOPTL-05-01 Missouri University of Science models that can be used for controlling pollution in a manufacturing system. The models are developed
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
Sensitivity Analysis of a Dynamic Fleet Management Model Using Approximate Dynamic Programming
Topaloglu, Huseyin
of fleet management models is to make the vehicle repositioning and vehicle-to-load assignment decisions soSensitivity Analysis of a Dynamic Fleet Management Model Using Approximate Dynamic Programming present tractable algorithms to assess the sensitivity of a stochastic dynamic fleet management model
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
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
A polymer model with long-range interactions: analysis and applications to the chromatin structure
Holcman, David
A polymer model with long-range interactions: analysis and applications to the chromatin structure consists of the DNA and its hierarchy of interact- ing molecules that can be modeled as a complex polymer. To describe the chromatin dynamic, we develop and analyze here a polymer model that accounts for long range
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 ...
Biomass Scenario Model, BETO Analysis Platform Peer Review (Presentati...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
bio-oil techno- economic analyses o Aviation biofuels and the European Union emissions trading system (ETS) o Light-duty-vehicle (LDV) ethanol-demand scenario analysis o Long...
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 ...
Lurking Pathway Prediction And Pathway ODE Model Dynamic Analysis
Zhang, Rengjing
2013-11-18
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...
Statistical Analysis of Semiparametric Models in Accelerated Life Testing
: Accelerated life models, additive accumulation of damages, generalized proportional hazards, semiparametrictofailure of items under the stress x(\\Delta) is deøned by a nonnegative absolutely continuous random variable T x models with random covariates. The proportion F x(\\Delta) (t) of items from\\Omega which fail until
Analysis of some properties for a basic Petri net model
Fortis, Alexandra Emilia
2009-01-01
The formalism of the models with Petri networks provides a sound theoretical base, supported by powerful mathematical methods able to extract information necessary for the formalism and simulation of the real system that provides features of competition and synchronization. The paper presents a model based on a Petri net, in order to extract information relative to the technological producing process of a food additive.
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
Security Analysis and Improvement Model for Web-based Applications
Wang, Yong
2010-01-14
to the current states in software systems and hardware systems, and independent of web application system states in the past. Therefore, the web-based applications can be approximately modeled by the Markov Process Model. The web-based applications can...
GENETICS, BREEDING, AND MODELING Use of Lactation Curves for Analysis
Yandell, Brian S.
Department of Agricultural Economics. 4Department of Dairy Science. plot model, LHG = lactation within a herd lactation within a herd group (LHG) (10, 22, 23). Primiparous cows are more persistent, and lactation curves
Analysis of Attic Radiant Barrier Systems Using Mathematical Models
Fairey, P.; Swami, M.
1988-01-01
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.
2014-01-03
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.
Fully Coupled Electromechanical Elastodynamic Model for Guided Wave Propagation Analysis
Borkowski, Luke; Chattopadhyay, Aditi
2013-01-01
Physics-based computational models play a key role in the study of wave propagation for structural health monitoring (SHM) and the development of improved damage detection methodologies. Due to the complex nature of guided waves, accurate and efficient computation tools are necessary to investigate the mechanisms responsible for dispersion, coupling, and interaction with damage. In this paper, a fully coupled electromechanical elastodynamic model for wave propagation in a heterogeneous, anisotropic material system is developed. The final framework provides the full three dimensional displacement and electrical potential fields for arbitrary plate and transducer geometries and excitation waveform and frequency. The model is validated theoretically and proven computationally efficient. Studies are performed with surface bonded piezoelectric sensors to gain insight into the physics of experimental techniques used for SHM. Collocated actuation of the fundamental Lamb wave modes is modeled over a range of frequenc...
Application of Finite Mixture Models for Vehicle Crash Data Analysis
Park, Byung Jung
2010-07-14
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 ...
Parallel and Statistical Analysis and Modeling of Nanometer VLSI Systems
Liu, Xue-Xin
2013-01-01
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. . . . .
Stochastic Modeling and Analysis of Pathway Regulation and Dynamics
Zhao, Chen
2012-07-16
called masters or canalizing genes. Characterizing and detecting such genes are thus highly valuable for the treatment of cancer. Chapter II is devoted to this task, where we present a Bayesian framework to model pathway interactions and then study...
Equalized on-chip interconnect : modeling, analysis, and design
Kim, Byungsub, 1978-
2010-01-01
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 ...
Steady state load models for power system analysis
Cresswell, Charles
2009-01-01
The last full review of load models used for power system studies occurred in the 1980s. Since then, new types of loads have been introduced and system load mix has changed considerably. The examples of newly introduced ...
Annual Report On Regional Aquifer Modeling And Data Analysis
Lu, Zhiming
.................................................................................. 13 3.1 Estimates based on 2-D flow, measured hydraulic gradients and field-based hydraulic........................................................................... 19 4.2 Model Calibrations, Using New Water Level Data from R-wells
An Analysis of TRL-Based Cost and Schedule Models
Kenley, C. Robert
2012-04-30
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, ...
Thermomechanics of hydrogen storage in metallic hydrides: modeling and analysis
Tomas Roubicek; Giuseppe Tomassetti
2013-09-12
A thermodynamically consistent mathematical model for hydrogen adsorption in metal hydrides is proposed. Beside hydrogen diffusion, the model accounts for phase transformation accompanied by hysteresis, swelling, temperature and heat transfer, strain, and stress. We prove existence of solutions of the ensuing system of partial differential equations by a carefully-designed, semi-implicit approximation scheme. A generalization for a drift-diffusion of multi-component ionized "gas" is outlined, too.
Robust Efficient Frontier Analysis with a Separable Uncertainty Model
2007-11-29
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
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
Design theoretic analysis of three system modeling frameworks.
McDonald, Michael James
2007-05-01
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.
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.
2014-02-04
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 ...
Failure Analysis and Reliability Model Development for Microsystems-Enabled Photovoltaics
Failure Analysis and Reliability Model Development for Microsystems- Enabled Photovoltaics Benjamin, 87185, USA Abstract -- Microsystems-enabled photovoltaics (MEPV) has great potential to meet increasing demands for light-weight, photovoltaic solutions with high power density and efficiency. This paper
CBE UFAD cost analysis tool: Life cycle cost model, issues and assumptions
Webster, Tom; Benedek, Corinne; Bauman, Fred
2008-01-01
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
Wiggins, Vince L.
1996-01-01
recently demonstrated capabilities in areas important to personnel research such as statistical analysis, decision modeling, control, and forecasting. An extensive review of the neural network literature indicates that these networks have proven superior...
Zhu, Hong
Analysis to Software Quality Modelling Hong Zhu, Yanlong Zhang, Qingning Huo and Sue Greenwood Dept | sgreenwood) @brookes.ac.uk Abstract Quality is a fundamental concept in software and information system for understanding, measuring and predicting qualities of software and information systems. It has been recognised
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
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
Smart balloon observations over the North Atlantic: O3 data analysis and modeling
Thompson, Anne
Smart balloon observations over the North Atlantic: O3 data analysis and modeling Huiting Mao,1) field campaign in JulyAugust 2004. Our analysis utilized measurements of O3 from three smart balloons. Talbot, D. Troop, R. Johnson, S. Businger, and A. M. Thompson (2006), Smart balloon observations over
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
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
Efficiency analysis of a pneu-mechanical Wave Energy Converter : model of the device losses,
Psaltis, Demetri
ENAC/ Efficiency analysis of a pneu-mechanical Wave Energy Converter : model of the device losses. Van Herle 1 Mots Clés: Efficiency Analysis, Power Take Off, Renewable Energy, WEC, Wave Energy. 1 have been focused on the efficiency of the different technologies on a test rig and building
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 power system with distributed energy sources forming a microgrid (µGrid). The µGrid is a radial multiphase power flow analysis method that provides exact solution to the operation of the µGrid under steady
An analysis of humor orientation on Facebook: A lens model approach
Pennington, Natalie; Hall, Jeffrey A.
2014-02-01
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...
Challenges in the Modeling and Quantitative Analysis of Safety-Critical Automotive Systems!
Leue, Stefan
Challenges in the Modeling and Quantitative Analysis of Safety-Critical Automotive Systems! #12;Joint work with! 2! Matthias Kuntz and Bernd Reh TRW Automotive Stefan Leue Univeristy of Konstanz #12;Outline! ! Safety-Critical Automotive Systems! Safety Analysis Methods in the Automotive Domain
NREL's System Advisor Model Simplifies Complex Energy Analysis (Fact Sheet)
Not Available
2011-10-01
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).
Structural Modeling and Analysis of Structures in Aorta Images
Xu, Hai
2012-10-19
). ........................ 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...
Analysis and Modeling of Parasitic Capacitances in Advanced Nanoscale Devices
Bekal, Prasanna
2012-07-16
Graphics Corporation, 2011. [7] ?Predictive Technology Model (PTM).? [Online]. http://ptm.asu.edu [8] H.-H. Tsai, C.-L. Yu, and C.-Y. Wu, ?A Bird's Beak Reduction Technique for LOCOS in VLSI Fabrication,? IEEE Electron Device Letters, vol. 7, no. 2, pp... AND MODELING OF PARASITIC CAPACITANCES IN ADVANCED NANOSCALE DEVICES A Thesis by PRASANNA BEKAL Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE...
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
High Resolution PV Power Modeling for Distribution Circuit Analysis
Norris, B. L.; Dise, J. H.
2013-09-01
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.
Analysis of a finite element formulation for modelling phase separation
Wells, G N; Garikipati, Krishna
2007-01-01
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
, and bandwidths of the sensors, as well as their different sizes, prices, and maintenance costs [1]. Currently 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
Water Rights Analysis Package (WRAP) Modeling System Reference Manual
Wurbs, R.
2012-10-01
Inflows and Outflows ............................................................................................... 96 Hydroelectric Energy Generation ....................................................................................... 96 Instream... contributed to development and improvement of the model. The original WRAP, initially called TAMUWRAP, stemmed from a 1986-1988 research project at Texas A&M University, entitled Optimizing Reservoir System Operations, which was sponsored by a federal...
Modeling Techniques for a Risk Analysis Methodology for Software Systems
instrumentation and control (I&C) systems for nuclear power plant system upgrades. (Arndt 2002) These approaches for nuclear power plant system upgrades. These approaches are directed towards analyzing the change in risk, System Modeling, UML, Z, EVES, Fault Trees #12;3 Abstract The U.S. Nuclear Regulatory Commission (NRC
Analysis of WACSIS data using a directional hybrid wave model
Zhang, Shaosong
2007-04-25
and consistent estimates of the energy spreading parameter and mean wave direction of directional seas based on a cosine-2s model. In this approach, a Maximum Likelihood Method (MLM) is employed. Because it is more tolerant of errors in the estimated cross...
Water Rights Analysis Package (WRAP) Modeling System Users Manual
Wurbs, R
2012-10-01
........................................................................................... 88 TSR Record ? Repeat of Another Target Series ............................................................. 89 WS Record ? Reservoir Storage Associated with a Water Right .................................. 90 HP Record ? Hydroelectric Power..., and hydroelectric power requirements. Water balance computations are performed for each month of the hydrologic simulation period. Flexibility is provided for adaptation to a broad range of modeling approaches. Typically, a simulation will be based...
Nuisance Source Population Modeling for Radiation Detection System Analysis
Sokkappa, P; Lange, D; Nelson, K; Wheeler, R
2009-10-05
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.
High-throughput generation, optimization and analysis of genome-scale metabolic models.
Henry, C. S.; DeJongh, M.; Best, A. A.; Frybarger, P. M.; Linsay, B.; Stevens, R. L.
2010-09-01
Genome-scale metabolic models have proven to be valuable for predicting organism phenotypes from genotypes. Yet efforts to develop new models are failing to keep pace with genome sequencing. To address this problem, we introduce the Model SEED, a web-based resource for high-throughput generation, optimization and analysis of genome-scale metabolic models. The Model SEED integrates existing methods and introduces techniques to automate nearly every step of this process, taking {approx}48 h to reconstruct a metabolic model from an assembled genome sequence. We apply this resource to generate 130 genome-scale metabolic models representing a taxonomically diverse set of bacteria. Twenty-two of the models were validated against available gene essentiality and Biolog data, with the average model accuracy determined to be 66% before optimization and 87% after optimization.
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
Integrated Modeling, Finite-Element Analysis, and Engineering Design for Thin-Shell
Schroeder, Peter
Integrated Modeling, Finite-Element Analysis, and Engineering Design for Thin-Shell Structures transfer between the geometric design and finite-element anal- ysis tools. No cumbersome remodeling.S.A. Abstract Many engineering design applications require geometric modeling and mechanical simulation of thin
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
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
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
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
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
THIN-FILM FLOWS WITH WALL SLIP: AN ASYMPTOTIC ANALYSIS OF HIGHER ORDER GLACIER FLOW MODELS
Fournier, John J.F.
THIN-FILM FLOWS WITH WALL SLIP: AN ASYMPTOTIC ANALYSIS OF HIGHER ORDER GLACIER FLOW MODELS, Cambridge, CB3 0ET, UK) [Received 6 January 2009. Revise 6 November 2009] Summary Free-surface thin film of the flow. Conversely, membrane or `free film' models are appropriate in situations where there is rapid
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
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 presents a new and comprehensive method of modeling robots having highly flexible members such as flexure of robotic hardware. A number of studies into the behavior of flexible link robots have been conducted, often
Modeling and Analysis of Energy Harvesting Nodes in Wireless Sensor Networks
Sikdar, Biplab
Modeling and Analysis of Energy Harvesting Nodes in Wireless Sensor Networks Alireza Seyedi for energy harvesting nodes in wireless sensor networks is proposed. Using the pre- sented model, the probability of event loss due to energy run out as well as an analytical vulnerability metric, namely average
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
A Supply Chain Network Economy: Modeling and Qualitative Analysis Ding Zhang and June Dong
Nagurney, Anna
A Supply Chain Network Economy: Modeling and Qualitative Analysis Ding Zhang and June Dong School a general network model for a supply chain economy since it is now recognized that when it comes. This chapter is organized as follows. In Section 2, we introduce the concept of a supply chain economy
Analysis of a temperature-dependent model for adhesive contact with Elena Bonetti
Rossi, Riccarda
Analysis of a temperature-dependent model for adhesive contact with friction Elena Bonetti , Giovanna Bonfanti , and Riccarda Rossi Abstract We propose a model for (unilateral) contact with adhesion´emond's approach, adhesion is described in terms of a surface damage parameter . The related equations
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
Monte Carlo model for analysis of thermal runaway electrons in streamer tips in transient luminous
Pasko, Victor
Monte Carlo model for analysis of thermal runaway electrons in streamer tips in transient luminous in transient luminous events (TLEs) termed sprites, which occur in the altitude range 4090 km in the Earth modeling results indicate that the $10 Ek fields are able to accelerate a fraction of low-energy (several e
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
Modeling and Analysis of Detection Time Trade-offs for Channel Searching in Cognitive
Roy, Sumit
and correlated channel model. We then highlight a key trade-off underlying the overall mean time to detect a free1 Modeling and Analysis of Detection Time Trade-offs for Channel Searching in Cognitive Radio, search scheme, sensing trade-off, optimal detection time. I. INTRODUCTION Large segments of the radio
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 column based variance analysis approach to static reservoir model upgridding
Talbert, Matthew Brandon
2008-10-10
number of layers is then selected based on an analysis resulting in a minimum loss of heterogeneity. We demonstrate the validity of the optimal gridding by applying our method to a history matched waterflood in a structurally complex and faulted... distribution ............................................ 19 9 81 layer model, Sand A permeability distribution ..................................... 20 10 81 layer model, Sand B permeability distribution ...................................... 20...
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, the behaviour of the service parts logistics system (SPLS) is approximated with a modified M/G/1 HOL queuing policy. Keywords: Service parts logistics, optimisation, genetic algorithms, M/G/1 queuing model
Delay correlation analysis and representation for vital complaint VHDL models
Rich, Marvin J.; Misra, Ashutosh
2004-11-09
A method and system unbind a rise/fall tuple of a VHDL generic variable and create rise time and fall time generics of each generic variable that are independent of each other. Then, according to a predetermined correlation policy, the method and system collect delay values in a VHDL standard delay file, sort the delay values, remove duplicate delay values, group the delay values into correlation sets, and output an analysis file. The correlation policy may include collecting all generic variables in a VHDL standard delay file, selecting each generic variable, and performing reductions on the set of delay values associated with each selected generic variable.
Hydrogen Analysis (H2A) Production Component 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:Financing Tool Fits the Bill FinancingDepartment ofPower OutagesWouldHydraulic InstituteAnalysis
project development. The TAMS application integrates custom simulation and modeling applications with data gases, increasing the use of renewable energy, and improving overall security and system resiliency, modeling, simulation, and visualization tools. The TAMS application was developed to help the United States
Gross-Neveu and Thirring models. Covariant Gaussian analysis
Rosenstein, B.; Kovner, A.
1989-07-15
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
2014-12-16
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 and Analysis of Solar Radiation Potentials on Building Rooftops
Omitaomu, Olufemi A [ORNL; Kodysh, Jeffrey B [ORNL; Bhaduri, Budhendra L [ORNL
2012-01-01
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
2010-05-25
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.
Awadalla, N.G.; Eaton, S.C.F.
1996-09-04
This document is the verification and validation final report for the Decision Analysis Model for Assessment of Tank Waste Remediation System Waste Treatment Strategies. This model is also known as the INSIGHT Model.
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)
1991-12-31
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.
1992-12-01
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.
1992-12-01
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.
Wetland model in an earth systems modeling framework for regional environmental policy analysis
Awadalla, Sirein Salah
2011-01-01
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 ...
Modeling and estimation in Gaussian graphical models : maximum-entropy methods and walk-sum analysis
Chandrasekaran, Venkat
2007-01-01
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, ...
AIR INGRESS ANALYSIS: PART 2 – COMPUTATIONAL FLUID DYNAMIC MODELS
Chang H. Oh; Eung S. Kim; Richard Schultz; Hans Gougar; David Petti; Hyung S. Kang
2011-01-01
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.
Sample size in factor analysis: The role of model error
MacCallum, R. C.; Widaman, K. F.; Preacher, Kristopher J.; Hong, Sehee
2001-01-01
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...
Model Analysis ToolKit (MATK), Version 0
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on77 PAGEMission Mission Missionof EnergyJennings= a nModeModel
Water-Level Data Analysis for the Saturated Zone Site-Scale Flow and Transport Model
P. Tucci
2001-12-20
This Analysis/Model Report (AMR) documents an updated analysis of water-level data performed to provide the saturated-zone, site-scale flow and transport model (CRWMS M&O 2000) with the configuration of the potentiometric surface, target water-level data, and hydraulic gradients for model calibration. The previous analysis was presented in ANL-NBS-HS-000034, Rev 00 ICN 01, Water-Level Data Analysis for the Saturated Zone Site-Scale Flow and Transport Model (USGS 2001). This analysis is designed to use updated water-level data as the basis for estimating water-level altitudes and the potentiometric surface in the SZ site-scale flow and transport model domain. The objectives of this revision are to develop computer files containing (1) water-level data within the model area (DTN: GS010908312332.002), (2) a table of known vertical head differences (DTN: GS0109083 12332.003), and (3) a potentiometric-surface map (DTN: GS010608312332.001) using an alternate concept from that presented in ANL-NBS-HS-000034, Rev 00 ICN 01 for the area north of Yucca Mountain. The updated water-level data include data obtained from the Nye County Early Warning Drilling Program (EWDP) and data from borehole USW WT-24. In addition to being utilized by the SZ site-scale flow and transport model, the water-level data and potentiometric-surface map contained within this report will be available to other government agencies and water users for ground-water management purposes. The potentiometric surface defines an upper boundary of the site-scale flow model, as well as provides information useful to estimation of the magnitude and direction of lateral ground-water flow within the flow system. Therefore, the analysis documented in this revision is important to SZ flow and transport calculations in support of total system performance assessment.
Thermophysical models of underground coal gasification and FEM analysis
Yang, L.H. [China University of Mining & Technology, Xuzhou (China)
2007-11-15
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.
Simulation and physical model based gamma-ray burst afterglow analysis
van Eerten, Hendrik
2015-01-01
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...
Chen, Brian Y.
VASP-S: A Volumetric Analysis and Statistical Model for Predicting Steric Influences on Protein, are harder to find. To assist this process, we present VASP-S (Volumetric Analysis of Surface Properties with Statistics), an unsupervised volumetric analysis and statistical model for isolating statistically
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.
2009-09-30
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.
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.
2001-11-09
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)
1993-12-01
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.
Zhang, Da-Lin
Analysis and prediction of hazard risks caused by tropical cyclones in Southern China with fuzzy 2011 Keywords: Combined weights Fuzzy mathematical models Hazard risk analysis Exceeded probability Tropical cyclones Grey prediction model a b s t r a c t A hazard-risk assessment model and a grey hazard
Huzurbazar, Aparna V.
, ¬...¢ is the transition intensity from state 0 to state 1, i.e., the instantaneous probability per time unit of going fromMulti-state models for event history analysis Per Kragh Andersen Department of Biostatistics multi-state models is given. Examples include the two-state model for survival analysis, the competing
Economic analysis and assessment of syngas production using a modeling approach
Kim, Hakkwan; Parajuli, Prem B.; Yu, Fei; Columbus, Eugene P.
2011-08-10
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.; Singh, S. S. K.; Alebrahim, R.; Azizi, M. A.; K, Elwaleed A.; Noorani, M. S. M.
2014-06-19
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.
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
On energetic electrons (>38 keV) in the central plasma sheet: Data analysis and modeling
Li, Xinlin
On energetic electrons (>38 keV) in the central plasma sheet: Data analysis and modeling Bingxian] The spatial distribution of >38 keV electron fluxes in the central plasma sheet (CPS) and the statistical relationship between the CPS electron fluxes and the upstream solar wind and interplanetary magnetic field (IMF
Parr, Ronald
An Analysis of Linear Models, Linear Value-Function Approximation, and Feature Selection, Piscataway, NJ 08854 USA Abstract We show that linear value-function approxima- tion is equivalent to a form trees, neural networks, and linear functions. The first contribution of this paper shows that, when
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
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
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
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
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
On a Modeling Framework for the Analysis of Interdependencies in Electric Power Systems
Firenze, Università degli Studi di
On a Modeling Framework for the Analysis of Interdependencies in Electric Power Systems Silvano, including the Electric Power System (EPS), through which vital services are provided. In existing EPS two co to single infrastruc- tures. Electric Power Systems (EPSs) are prominent rep- resentatives of critical
Tuffin, Bruno
Modeling and analysis of threshold queues with hysteresis using stochastic Petri nets. Many applications of such a system can be found in the transport protocols of communication networks Petri Nets (SPNs), a powerful paradigm to represent complex systems. The representation is shown
ADVECTION OF METHANE IN THE HYDRATE ZONE: MODEL, ANALYSIS AND EXAMPLES
ADVECTION OF METHANE IN THE HYDRATE ZONE: MODEL, ANALYSIS AND EXAMPLES MALGORZATA PESZYNSKA, RALPH for the advective-diffusive trans- port of methane in liquid phase through sediment with the accompanying formation and disso- lution of methane hydrate. This free-boundary problem has a unique generalized solution in L1
Numerical analysis of electric field formulations of the eddy current model
RodrÃguez, 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
RodrÃguez, 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
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
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
Model-based congestion analysis during outage and system reconfiguration in GPRS networks
Firenze, Università 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
Power system analysis project Modeling and Sizing optimization of Stand-alone
Lavaei, Javad
Power system analysis project Modeling and Sizing optimization of Stand-alone photovoltaic/wind to explore a new way to do the site matching of wind turbine by introducing the design parameters: cut-in, cut-out wind speed and rated power, into the optimization based on the real load of the site and write
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
Aalborg Universitet Models for HLI analysis of power system with offshore wind farms and distributed
Bak-Jensen, Birgitte
Aalborg Universitet Models for HLI analysis of power system with offshore wind farms for Offshore Wind farms Publication date: 2008 Document Version Publisher final version (usually the publisher with offshore wind farms and distributed generation. In Proc. of 7th International Workshop on Large- Scale
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
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
Vasquez, Juan Carlos
Aalborg Universitet Modeling, Stability Analysis and Active Stabilization of Multiple DC-Microgrids and Active Stabilization of Multiple DC-Microgrids Clusters. In Proceedings of the 2014 IEEE International of Multiple DC-Microgrid Clusters," in Proc. IEEE International Energy Conference (EnergyCon'14), 2014
Modeling and Analysis of Hybrid Converters Michael Evzelman Shmuel (Sam) Ben-Yaakov
by simulation and experimentally. The experimental converter included a Boost converter followed by x3 switched. This can be conveniently done by hybrid converters with multiple Figure 1. Hybrid Boost SCCx3 converterModeling and Analysis of Hybrid Converters Michael Evzelman Shmuel (Sam) Ben-Yaakov Power
A low-dimensional dynamic model of severe slugging for control design and analysis
Skogestad, Sigurd
. The prerequisites for this to occur are relatively low pipeline pressure and flow rates. Gravity induced slugs the topside (or wellhead) choke valve. However, the increased pressure drop will lower oil recoveryA low-dimensional dynamic model of severe slugging for control design and analysis Espen Storkaas
Risk analysis via heterogeneous models of SCADA interconnecting Power Grids and Telco Networks
Tronci, Enrico
Risk analysis via heterogeneous models of SCADA interconnecting Power Grids and Telco Networks A and Data Acquisition (SCADA) systems has led to an improvement of Power Grid operations and functionalities power grid services are increasingly depending upon the adequate functionality of SCADA system which
System for the Analysis of Global Energy Markets - Vol. II, Model Documentation
Reports and Publications (EIA)
2003-01-01
The second volume provides a data implementation guide that lists all naming conventions and model constraints. In addition, Volume 1 has two appendixes that provide a schematic of the System for the Analysis of Global Energy Markets (SAGE) structure and a listing of the source code, respectively.
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
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
Modeling and Analysis of Load and Time Dependent Software Rejuvenation Policies
Telek, Miklós
divided into design, coding and test ing phase. Traditionally, software quality improve mentModeling and Analysis of Load and Time Dependent Software Rejuvenation Policies S. Garg 1 , A running clientserver type software systems by many clients, such software ``ages'' with time
Menut, Laurent
the a priori uncertainties in anthropogenic NOx and volatile organic compounds (VOC) emissions: (1) The a posteriori probability density function (pdf) for NOx emissions is not modified in its averageBayesian Monte Carlo analysis applied to regional-scale inverse emission modeling for reactive
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
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
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
System for the Analysis of Global Energy Markets - Vol. I, Model Documentation
Reports and Publications (EIA)
2003-01-01
Documents the objectives and the conceptual and methodological approach used in the development of projections for the International Energy Outlook. The first volume of this report describes the System for the Analysis of Global Energy Markets (SAGE) methodology and provides an in-depth explanation of the equations of the model.
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
Analysis of Competitive Electricity Markets under a New Model of Real-Time Retail Pricing with
Hirche, Sandra
Analysis of Competitive Electricity Markets under a New Model of Real-Time Retail Pricing with Ex loop system. Under this pricing mechanism, electricity is priced at the exant´e price (calculated based, dahleh, mitter}@mit.edu Siemens Corporate Technology, Munich, Germany dragan
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
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
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
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
Decision Support Modeling and analysis of an auction-based logistics market
Karaesmen, Fikri
Decision Support Modeling and analysis of an auction-based logistics market Semra Agrali a , Barisß a logistics spot market where the transportation orders from a number of firms are matched with two types that have lower costs. In order to analyze the effects of implementing a logistics spot market
Modeling of the rhodopsin bleaching with variational analysis of retinal images J. Dobrosotskayaa
Ehler, Martin
processing were obtained via the cSLO camera (Heidelberg Retinal Angiograph 4.0, or HRA) which is a confocalModeling of the rhodopsin bleaching with variational analysis of retinal images J. Dobrosotskayaa Memorial Drive, Bethesda, MD 20892 ABSTRACT This paper discusses a variational method of processing
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
2009-06-28
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.
Directed transport in equilibrium : analysis of the dimer model with inertial terms
A. Bhattacharyay
2011-08-15
We have previously shown an analysis of our dimer model in the over-damped regime to show directed transport in equilibrium. Here we analyze the full model with inertial terms present to establish the same result. First we derive the Fokker-Planck equation for the system following a Galilean transformation to show that a uniformly translating equilibrium distribution is possible. Then, we find out the velocity selection for the centre of mass motion using that distribution on our model. We suggest generalization of our calculations for soft collision potentials and indicate to interesting situation with possibility of oscillatory non-equilibrium state within equilibrium.
Kim, Sunyoung; Coffeen, Robert C.; Sanguinetti, Paola
2013-06-02
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.
2014-06-27
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.
2013-11-10
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.
RELAP5/MOD2 split reactor vessel model and steamline break analysis
Petelin, S.; Mavko, B.; Gortnar, O. (Univ. of Ljubljana, (Slovenia))
1993-04-01
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.; Sassani, David Carl
2014-03-01
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.
Assessment of Models for Pedestrian Dynamics with Functional Principal Component Analysis
Chraibi, M; Gottschalk, H; Saadi, M; Seyfried, A
2015-01-01
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.
Cole, Henry E.; Fullen, Robert E.
1980-09-01
This report reviews four of the major models used by the Department of Energy (DOE) for energy conservation analyses in the residential- and commercial-building sectors. The objective is to provide a critical analysis of how these models can serve as tools for DOE and its Conservation Policy Office in evaluating and quantifying their policy and program requirements. For this, the study brings together information on the models' analytical structure and their strengths and limitations in policy applications these are then employed to assess the most-effective role for each model in addressing future issues of buildings energy-conservation policy and analysis. The four models covered are: Oak Ridge Residential Energy Model; Micro Analysis of Transfers to Households/Comprehensive Human Resources Data System (MATH/CHRDS) Model; Oak Ridge Commercial Energy Model; and Brookhaven Buildings Energy Conservation Optimization Model (BECOM).
Not Available
1980-09-01
Major models and data sources are reviewed that can be used for energy-conservation analysis in the residential and commercial sectors to provide an introduction to the information that can or is available to DOE in order to further its efforts in analyzing and quantifying their policy and program requirements. Models and data sources examined in the residential sector are: ORNL Residential Energy Model; BECOM; NEPOOL; MATH/CHRDS; NIECS; Energy Consumption Data Base: Household Sector; Patterns of Energy Use by Electrical Appliances Data Base; Annual Housing Survey; 1970 Census of Housing; AIA Research Corporation Data Base; RECS; Solar Market Development Model; and ORNL Buildings Energy Use Data Book. Models and data sources examined in the commercial sector are: ORNL Commercial Sector Model of Energy Demand; BECOM; NEPOOL; Energy Consumption Data Base: Commercial Sector; F.W. Dodge Data Base; NFIB Energy Report for Small Businesses; ADL Commercial Sector Energy Use Data Base; AIA Research Corporation Data Base; Nonresidential Buildings Surveys of Energy Consumption; General Electric Co: Commercial Sector Data Base; The BOMA Commercial Sector Data Base; The Tishman-Syska and Hennessy Data Base; The NEMA Commercial Sector Data Base; ORNL Buildings Energy Use Data Book; and Solar Market Development Model. Purpose; basis for model structure; policy variables and parameters; level of regional, sectoral, and fuels detail; outputs; input requirements; sources of data; computer accessibility and requirements; and a bibliography are provided for each model and data source.
Analysis of laser remote fusion cutting based on a mathematical model
Matti, R. S. [Department of Engineering Sciences and Mathematics, Luleå University of Technology, S-971 87 Luleå (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, Luleå University of Technology, S-971 87 Luleå (Sweden)
2013-12-21
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.
Berg, John M.; Veirs, D. Kirk; Vaughn, Randolph B.; Cisneros, Michael R.; Smith, Coleman A.
2000-06-01
Standard modeling approaches can produce the most likely values of the formation constants of metal-ligand complexes if a particular set of species containing the metal ion is known or assumed to exist in solution equilibrium with complexing ligands. Identifying the most likely set of species when more than one set is plausible is a more difficult problem to address quantitatively. A Monte Carlo method of data analysis is described that measures the relative abilities of different speciation models to fit optical spectra of open-shell actinide ions. The best model(s) can be identified from among a larger group of models initially judged to be plausible. The method is demonstrated by analyzing the absorption spectra of aqueous Pu(IV) titrated with nitrate ion at constant 2 molal ionic strength in aqueous perchloric acid. The best speciation model supported by the data is shown to include three Pu(IV) species with nitrate coordination numbers 0, 1, and 2. Formation constants are {beta}{sub 1}=3.2{+-}0.5 and {beta}{sub 2}=11.2{+-}1.2, where the uncertainties are 95% confidence limits estimated by propagating raw data uncertainties using Monte Carlo methods. Principal component analysis independently indicates three Pu(IV) complexes in equilibrium. (c) 2000 Society for Applied Spectroscopy.
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
2014-10-01
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.
Reduced order models for thermal analysis : final report : LDRD Project No. 137807.
Hogan, Roy E., Jr.; Gartling, David K.
2010-09-01
This LDRD Senior's Council Project is focused on the development, implementation and evaluation of Reduced Order Models (ROM) for application in the thermal analysis of complex engineering problems. Two basic approaches to developing a ROM for combined thermal conduction and enclosure radiation problems are considered. As a prerequisite to a ROM a fully coupled solution method for conduction/radiation models is required; a parallel implementation is explored for this class of problems. High-fidelity models of large, complex systems are now used routinely to verify design and performance. However, there are applications where the high-fidelity model is too large to be used repetitively in a design mode. One such application is the design of a control system that oversees the functioning of the complex, high-fidelity model. Examples include control systems for manufacturing processes such as brazing and annealing furnaces as well as control systems for the thermal management of optical systems. A reduced order model (ROM) seeks to reduce the number of degrees of freedom needed to represent the overall behavior of the large system without a significant loss in accuracy. The reduction in the number of degrees of freedom of the ROM leads to immediate increases in computational efficiency and allows many design parameters and perturbations to be quickly and effectively evaluated. Reduced order models are routinely used in solid mechanics where techniques such as modal analysis have reached a high state of refinement. Similar techniques have recently been applied in standard thermal conduction problems e.g. though the general use of ROM for heat transfer is not yet widespread. One major difficulty with the development of ROM for general thermal analysis is the need to include the very nonlinear effects of enclosure radiation in many applications. Many ROM methods have considered only linear or mildly nonlinear problems. In the present study a reduced order model is considered for application to the combined problem of thermal conduction and enclosure radiation. The main objective is to develop a procedure that can be implemented in an existing thermal analysis code. The main analysis objective is to allow thermal controller software to be used in the design of a control system for a large optical system that resides with a complex radiation dominated enclosure. In the remainder of this section a brief outline of ROM methods is provided. The following chapter describes the fully coupled conduction/radiation method that is required prior to considering a ROM approach. Considerable effort was expended to implement and test the combined solution method; the ROM project ended shortly after the completion of this milestone and thus the ROM results are incomplete. The report concludes with some observations and recommendations.
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
Tool Support to Model-based Quality Analysis of Software Architecture Qian Zhang, Jian Wu Hong Zhu
Zhu, Hong
Tool Support to Model-based Quality Analysis of Software Architecture Qian Zhang, Jian Wu Hong Zhu@brookes.ac.uk ABSTRACT This paper presents an automated software tool SQUARE (Software QUality and ARchitecture model- ling Environment). It is designed and implemented to support the analysis of software quality from
Rey Juan Carlos, Universidad
Analysis of the noise-induced bursting-spiking transition in a pancreatic -cell model Jacobo (Received 15 September 2003; published 30 April 2004) A stochastic model of the electrophysiological embedded in a noisy environment. The analysis is focused on the distortion that a growing noise causes
Integration of Advanced Probabilistic Analysis Techniques with Multi-Physics Models
Cetiner, Mustafa Sacit; none,; Flanagan, George F.; Poore III, Willis P.; Muhlheim, Michael David
2014-07-30
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.
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
2014-11-26
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.
Water-Level Data Analysis for the Saturated Zone Site-Scale Flow and Transport Model
K. Rehfeldt
2004-10-08
This report is an updated analysis of water-level data performed to provide the ''Saturated Zone Site-Scale Flow Model'' (BSC 2004 [DIRS 170037]) (referred to as the saturated zone (SZ) site-scale flow model or site-scale SZ flow model in this report) with the configuration of the potentiometric surface, target water-level data, and hydraulic gradients for calibration of groundwater flow models. This report also contains an expanded discussion of uncertainty in the potentiometric-surface map. The analysis of the potentiometric data presented in Revision 00 of this report (USGS 2001 [DIRS 154625]) provides the configuration of the potentiometric surface, target heads, and hydraulic gradients for the calibration of the SZ site-scale flow model (BSC 2004 [DIRS 170037]). Revision 01 of this report (USGS 2004 [DIRS 168473]) used updated water-level data for selected wells through the year 2000 as the basis for estimating water-level altitudes and the potentiometric surface in the SZ site-scale flow and transport model domain based on an alternative interpretation of perched water conditions. That revision developed computer files containing: Water-level data within the model area (DTN: GS010908312332.002); A table of known vertical head differences (DTN: GS010908312332.003); and A potentiometric-surface map (DTN: GS010608312332.001) using an alternative concept from that presented by USGS (2001 [DIRS 154625]) for the area north of Yucca Mountain. The updated water-level data presented in USGS (2004 [DIRS 168473]) include data obtained from the Nye County Early Warning Drilling Program (EWDP) Phases I and II and data from Borehole USW WT-24. This document is based on Revision 01 (USGS 2004 [DIRS 168473]) and expands the discussion of uncertainty in the potentiometric-surface map. This uncertainty assessment includes an analysis of the impact of more recent water-level data and the impact of adding data from the EWDP Phases III and IV wells. In addition to being utilized by the SZ site-scale flow model, the water-level data and potentiometric-surface map contained within this report will be available to other government agencies and water users for groundwater management purposes. The potentiometric surface defines an upper boundary of the site-scale flow model and provides information useful to estimation of the magnitude and direction of lateral groundwater flow within the flow system. Therefore, the analysis documented in this revision is important to SZ flow and transport calculations in support of total system performance assessment (TSPA).
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
Goseva-Popstojanova, Katerina
Model-Based Performance Risk Analysis Vittorio Cortellessa, Katerina Goseva-Popstojanova, Senior such type of risk analysis. Finally, we introduce a methodology to obtain, from annotated Sequence Diagrams introduces the basic concepts of risk analysis along with an overview of the related work. In Section 3, we
Use of model calibration to achieve high accuracy in analysis of computer networks
Frogner, Bjorn; Guarro, Sergio; Scharf, Guy
2004-05-11
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.
Solid waste integrated cost analysis model: 1991 project year report. Part 2
Not Available
1991-12-31
The purpose of the City of Houston`s 1991 Solid Waste Integrated Cost Analysis Model (SWICAM) project was to continue the development of a computerized cost analysis model. This model is to provide solid waste managers with tool to evaluate the dollar cost of real or hypothetical solid waste management choices. Those choices have become complicated by the implementation of Subtitle D of the Resources Conservation and Recovery Act (RCRA) and the EPA`s Integrated Approach to managing municipal solid waste;. that is, minimize generation, maximize recycling, reduce volume (incinerate), and then bury (landfill) only the remainder. Implementation of an integrated solid waste management system involving all or some of the options of recycling, waste to energy, composting, and landfilling is extremely complicated. Factors such as hauling distances, markets, and prices for recyclable, costs and benefits of transfer stations, and material recovery facilities must all be considered. A jurisdiction must determine the cost impacts of implementing a number of various possibilities for managing, handling, processing, and disposing of waste. SWICAM employs a single Lotus 123 spreadsheet to enable a jurisdiction to predict or assess the costs of its waste management system. It allows the user to select his own process flow for waste material and to manipulate the model to include as few or as many options as he or she chooses. The model will calculate the estimated cost for those choices selected. The user can then change the model to include or exclude waste stream components, until the mix of choices suits the user. Graphs can be produced as a visual communication aid in presenting the results of the cost analysis. SWICAM also allows future cost projections to be made.
Comparative Analysis of Modeling Studies on China's Future Energy and Emissions Outlook
Zheng, Nina; Zhou, Nan; Fridley, David
2010-09-01
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.
Applications of Minkowski Functionals to the Statistical Analysis of Dark Matter Models
Michael Platzoeder; Thomas Buchert
1995-09-04
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.
On simple and accurate finite element models for nonlinear bending analysis of beams and plates
Urthaler Lapeira, Yetzirah Yksya
2007-09-17
–ce of Graduate Studies of Texas A&M University in partial fulflllment of the requirements for the degree of DOCTOR OF PHILOSOPHY Approved by: Chair of Committee, J.N. Reddy Committee Members, Steve Suh Harry Hogan Goong Chen Head of Department, Dennis O’Neal May... Bolivar Chair of Advisory Committee: Dr. J.N. Reddy This study is concerned with the development of simple and accurate alterna- tive flnite element models to displacement flnite element models for geometrically nonlinear bending analysis of beams...
ANALYSIS OF TWO-PHASE FLOW MODELS WITH TWO MOMENTUM EQUATIONS.
KROSHILIN,A.E.KROSHILIN,V.E.KOHUT,P.
2004-03-15
An analysis of the standard system of differential equations describing multi-speed flows of multi-phase media is performed. It is proved that the Cauchy problem, as posed in most best-estimate thermal-hydraulic codes, results in unstable solutions and potentially unreliable description of many physical phenomena. A system of equations, free from instability effects, is developed allowing more rigorous numerical modeling.
Examining the Generalized Waring Model for the Analysis of Traffic Crashes
Peng, Yichuan
2013-05-03
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...
Hegde, Bharati Krishna
2004-09-30
Engineering iii ABSTRACT Mathematical Modelling And Analysis of Calcium Oscillations inExcitableandNon-ExcitableCellLines.(May2003) Bharati Krishna Hegde, B.E., University of Pune, India Co?Chairs of Advisory Committee: Dr. Roula Mouneimne Dr. John Criscione... Information is transmitted from the cell surface to various specific targets in the cell via several cellular signaling pathways. Cytosolic free calcium (Ca2+) is one of the most versatile and ubiquitous intracellular messengers since it is able to regulate...
Application of the Veneziano model to the analysis of three pion charmonium decays
Szczepaniak, Adam P; Pennington, Michael R [JLAB
2014-10-01
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, X.; Baltazar, J. C.
2013-01-01
determination for energy efficiency projects is based on procedures established in the International Performance Measurement and Verification Protocol (IPMVP, 2012), specifically Option C. Energy use baseline models are developed from a regression analysis... constitute a smaller fraction of total cooling load show a more modest improvement using OEE instead of OAT. INTRODUCTION The International Performance Measurement and Verification Protocol (IPMVP, 2012) Option C provides procedures to determine...
Renormalization Group Analysis of Finite-Size Scaling in the $?^4_4$ Model
R. Kenna; C. B. Lang
1992-10-08
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.
Whitehead, Camilla Dunham; McNeil, Michael; Dunham_Whitehead, Camilla; Letschert, Virginie; della_Cava, Mirka
2008-02-28
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.
Mjolsness, Eric
Analysis of a one-dimensional model for the regulation of the size of the renewable zone, 630090 The results of a numerical study of a cell-oriented model of the regulation of the renewable zone of the renewable zone is suggested. The shoot apical meristem (SAM) is provided as an example. The model is cell
Subramanian, Venkat
Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using First parameters of lithium-ion batteries are estimated using a first-principles electrochemical engineering model and understanding of lithium-ion batteries using physics-based first-principles models. These models are based
Thermoacoustic modeling and uncertainty analysis of two-dimensional conductive membranes Jonghoon-dimensional model for thermoacoustic engines J. Acoust. Soc. Am. 111, 2076 (2002); 10.1121/1.1467675 [This article://scitation.aip.org/termsconditions. Downloaded to ] IP: 146.201.18.83 On: Fri, 13 Feb 2015 15:46:28 #12;Thermoacoustic modeling and uncertainty
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.
2010-02-01
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.
Evaluating Domestic Hot Water Distribution System Options with Validated Analysis Models
Weitzel, E.; Hoeschele, E.
2014-09-01
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. Transient System Simulation Tool (TRNSYS) is a full distribution system developed that has been validated using field monitoring data and then exercised in a number of climates to understand climate impact on performance. In this study, the Building America team built upon previous analysis modeling 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. 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.
Supercomputer and cluster performance modeling and analysis efforts:2004-2006.
Sturtevant, Judith E.; Ganti, Anand; Meyer, Harold Edward; Stevenson, Joel O.; Benner, Robert E., Jr.; Goudy, Susan Phelps; Doerfler, Douglas W.; Domino, Stefan Paul; Taylor, Mark A.; Malins, Robert Joseph; Scott, Ryan T.; Barnette, Daniel Wayne; Rajan, Mahesh; Ang, James Alfred; Black, Amalia Rebecca; Laub, Thomas William; Vaughan, Courtenay Thomas; Franke, Brian Claude
2007-02-01
This report describes efforts by the Performance Modeling and Analysis Team to investigate performance characteristics of Sandia's engineering and scientific applications on the ASC capability and advanced architecture supercomputers, and Sandia's capacity Linux clusters. Efforts to model various aspects of these computers are also discussed. The goals of these efforts are to quantify and compare Sandia's supercomputer and cluster performance characteristics; to reveal strengths and weaknesses in such systems; and to predict performance characteristics of, and provide guidelines for, future acquisitions and follow-on systems. Described herein are the results obtained from running benchmarks and applications to extract performance characteristics and comparisons, as well as modeling efforts, obtained during the time period 2004-2006. The format of the report, with hypertext links to numerous additional documents, purposefully minimizes the document size needed to disseminate the extensive results from our research.
Bossard, J.A.; Peck, R.E.; Schmidt, D.K.
1993-03-01
The development of an advanced dynamic model for aeroelastic hypersonic vehicles powered by air breathing engines requires an adequate engine model. This report provides a discussion of some of the more important features of supersonic combustion and their relevance to the analysis and design of supersonic ramjet engines. Of particular interest are those aspects of combustion that impact the control of the process. Furthermore, the report summarizes efforts to enhance the aeropropulsive/aeroelastic dynamic model developed at the Aerospace Research Center of Arizona State University by focusing on combustion and improved modeling of this flow. The expanded supersonic combustor model described here has the capability to model the effects of friction, area change, and mass addition, in addition to the heat addition process. A comparison is made of the results from four cases: (1) heat addition only; (2) heat addition plus friction; (3) heat addition, friction, and area reduction, and (4) heat addition, friction, area reduction, and mass addition. The relative impact of these effects on the Mach number, static temperature, and static pressure distributions within the combustor are then shown. Finally, the effects of frozen versus equilibrium flow conditions within the exhaust plume is discussed.
Nazemnezhad, Reza E-mail: rnazemnezhad@du.ac.ir; Shokrollahi, Hassan; Hosseini-Hashemi, Shahrokh
2014-05-07
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
2012-07-01
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.
LaRocca, Sarah; Hassel, Henrik; Guikema, Seth
2013-01-01
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...
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)
2013-09-15
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.
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
K. J. Coakley; M. S. Dewey; M. G. Huber; P. R. Huffman; C. R. Huffer; D. E. Marley; H. P. Mumm; C. M. O'Shaughnessy; K. W. Schelhammer; A. K. Thompson; A. T. Yue
2015-08-10
In a variety of neutron lifetime experiments, in addition to $\\beta-$decay, neutrons can be lost by other mechanisms including wall losses. Failure to account for these other loss mechanisms produces systematic measurement error and associated systematic uncertainties in neutron lifetime measurements. In this work, we develop a physical model for neutron wall losses and construct a competing risks survival analysis model to account for losses due to the joint effect of $\\beta-$decay losses, wall losses of marginally trapped neutrons, and an additional absorption mechanism. We determine the survival probability function associated with the wall loss mechanism by a Monte Carlo method. Based on a fit of the competing risks model to a subset of the NIST experimental data, we determine the mean lifetime of trapped neutrons to be approximately 700 s -- considerably less than the current best estimate of (880.1 $\\pm$ 1.1) s promulgated by the Particle Data Group [1]. Currently, experimental studies are underway to determine if this discrepancy can be explained by neutron capture by ${}^3$He impurities in the trapping volume. Analysis of the full NIST data will be presented in a later publication.
ESPRE 2. 1 engineering model: Simplified energy analysis methods for residential buildings
Merriam, R.L. (Little (Arthur D.), Inc., Cambridge, MA (United States))
1992-08-01
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
2011-10-01
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.
Mohaghegh, Shahab
capability of being able to replicate the pressure and saturation distribution throughout the reservoirSPE 153844 Grid-Based Surrogate Reservoir Modeling (SRM) for Fast Track Analysis of Numerical Reservoir Simulation Models at the Grid block Level Shahab D. Mohaghegh, West Virginia University
Thermal analysis of pentaerythritol tetranitrate and development of a powder aging model
Brown, Geoffrey W; Sandstrom, Mary M; Giambra, Anna M; Archuleta, Jose G; Monroe, Deirde C
2009-01-01
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.
Responsibility Modeling for the Sociotechnical Risk Analysis of Coalitions of Systems
Greenwood, David
2011-01-01
Society is challenging systems engineers by demanding ever more complex and integrated systems. With the rise of cloud computing and systems-of-systems (including cyber-physical systems) we are entering an era where mission critical services and applications will be dependent upon 'coalitions-of-systems'. Coalitions-of-systems (CoS) are a class of system similar to systems-of-systems but they differ in that they interact to further overlapping self-interests rather than an overarching mission. Assessing the sociotechnical risks associated with CoS is an open research question of societal importance as existing risk analysis techniques typically focus on the technical aspects of systems and ignore risks associated with coalition partners reneging on responsibilities or leaving the coalition. We demonstrate that a responsibility modeling based risk analysis approach enables the identification of sociotechnical risks associated with CoS. The approach identifies hazards and associated risks that may arise when re...
GEOCITY: a computer model for systems analysis of geothermal district heating and cooling costs
Fassbender, L.L.; Bloomster, C.H.
1981-06-01
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.
Blair, Nate; Zhou, Ella; Getman, Dan; Arent, Douglas J.
2015-10-01
Mathematical and computational models are widely used for the analysis and design of both physical and financial systems. Modeling the electric grid is of particular importance to China for three reasons. First, power-sector assets are expensive and long-lived, and they are critical to any country's development. China's electric load, transmission, and other energy-related infrastructure are expected to continue to grow rapidly; therefore it is crucial to understand and help plan for the future in which those assets will operate (NDRC ERI 2015). Second, China has dramatically increased its deployment of renewable energy (RE), and is likely to continue further accelerating such deployment over the coming decades. Careful planning and assessment of the various aspects (technical, economic, social, and political) of integrating a large amount of renewables on the grid is required. Third, companies need the tools to develop a strategy for their own involvement in the power market China is now developing, and to enable a possible transition to an efficient and high RE future.
Ruth, M.; Diakov, V.; Goldsby, M. E.; Sa, T. J.
2010-12-01
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.
Zhang, Qi, S.M. Massachusetts Institute of Technology
2008-01-01
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
2014-01-01
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
Stølen, Ketil
for risk analysis of critical systems and semiformal modelling methods. In this paper we provide to system modelling and risk analysis, where the architecture expressed in the information system model is used to guide the combined application of risk analysis techniques. This need is being addressed
Kim, G.-H.; Pesaran, A.
2007-05-15
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
1986-01-01
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...
Model-independent analysis of the Fermilab Tevatron turn-by-turn beam position monitor measurements
Petrenko, A.V.; Valishev, A.A.; Lebedev, V.A.; /Fermilab
2011-09-01
Coherent transverse beam oscillations in the Tevatron were analyzed with the model-independent analysis (MIA) technique. This allowed one to obtain the model-independent values of coupled betatron amplitudes, phase advances, and dispersion function around the ring from a single dipole kick measurement. In order to solve the MIA mode mixing problem which limits the accuracy of determination of the optical functions, we have developed a new technique of rotational MIA mode untangling. The basic idea is to treat each beam position monitor (BPM) as two BPMs separated in a ring by exactly one turn. This leads to a simple criterion of MIA mode separation: the betatron phase advance between any BPM and its counterpart shifted by one turn should be equal to the betatron tune and therefore should not depend on the BPM position in the ring. Furthermore, we describe a MIA-based technique to locate vibrating magnets in a storage ring.
Wu, Xueran; Jacob, Birgit
2015-01-01
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
2015-01-01
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
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
Diagnosis of the Low-Level Jet using a sounding analysis scheme and the ETA model, a case study
Wigginton, Scott Barrett
2000-01-01
studied using this analysis scheme during a case study from May 1995. The data set used consisted of 80-km Eta model output. When compared to other methods, the developed analysis scheme showed more LLJ detail and structure. The LLJ appeared with multiple...
Watney, W.L.
1994-12-01
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.
Zhang, Xuesong; Zhao, Kaiguang
2012-06-01
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.
NONE
1994-07-01
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.
Combined Analysis of Two- and Three-Particle Correlations in q,p-Bose Gas Model
Alexandre M. Gavrilik
2006-11-07
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).
Selection of a Model of Cerebral Activity for fMRI Group Data Analysis
Keller, Merlin; Lavielle, Marc
2010-01-01
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...
Peterson, Kara J.; Bochev, Pavel Blagoveston; Paskaleva, Biliana S.
2010-09-01
Arctic sea ice is an important component of the global climate system and due to feedback effects the Arctic ice cover is changing rapidly. Predictive mathematical models are of paramount importance for accurate estimates of the future ice trajectory. However, the sea ice components of Global Climate Models (GCMs) vary significantly in their prediction of the future state of Arctic sea ice and have generally underestimated the rate of decline in minimum sea ice extent seen over the past thirty years. One of the contributing factors to this variability is the sensitivity of the sea ice to model physical parameters. A new sea ice model that has the potential to improve sea ice predictions incorporates an anisotropic elastic-decohesive rheology and dynamics solved using the material-point method (MPM), which combines Lagrangian particles for advection with a background grid for gradient computations. We evaluate the variability of the Los Alamos National Laboratory CICE code and the MPM sea ice code for a single year simulation of the Arctic basin using consistent ocean and atmospheric forcing. Sensitivities of ice volume, ice area, ice extent, root mean square (RMS) ice speed, central Arctic ice thickness, and central Arctic ice speed with respect to ten different dynamic and thermodynamic parameters are evaluated both individually and in combination using the Design Analysis Kit for Optimization and Terascale Applications (DAKOTA). We find similar responses for the two codes and some interesting seasonal variability in the strength of the parameters on the solution.
The use of MAVIS II to integrate the modeling and analysis of explosive valve interactions
Ng, R.; Kwon, D.M.
1998-12-31
The MAVIS II computer program provides for the modeling and analysis of explosive valve interactions. This report describes the individual components of the program and how MAVIS II is used with other available tools to integrate the design and understanding of explosive valves. The rationale and model used for each valve interaction is described. Comparisons of the calculated results with available data have demonstrated the feasibility and accuracy of using MAVIS II for analytical studies of explosive valve interactions. The model used for the explosive or pyrotechnic used as the driving force in explosive valves is the most critical to be understood and modeled. MAVIS II is an advanced version that incorporates a plastic, as well as elastic, modeling of the deformations experienced when plungers are forced into a bore. The inclusion of a plastic model has greatly expanded the use of MAVIS for all categories (opening, closure, or combined) of valves, especially for the closure valves in which the sealing operation requires the plastic deformation of either a plunger or bore over a relatively large area. In order to increase its effectiveness, the use of MAVIS II should be integrated with the results from available experimental hardware. Test hardware such as the Velocity Interferometer System for Any Reflector (VISAR) and Velocity Generator test provide experimental data for accurate comparison of the actual valve functions. Variable Explosive Chamber (VEC) and Constant Explosive Volume (CEV) tests are used to provide the proper explosive equation-of-state for the MAVIS calculations of the explosive driving forces. The rationale and logistics of this integration is demonstrated through an example. A recent valve design is used to demonstrate how MAVIS II can be integrated with experimental tools to provide an understanding of the interactions in this valve.
Shankaran, Harish; Zhang, Yi; Chrisler, William B.; Ewald, Jonathan A.; Wiley, H. S.; Resat, Haluk
2012-10-02
The epidermal growth factor receptor (EGFR) belongs to the ErbB family of receptor tyrosine kinases, and controls a diverse set of cellular responses relevant to development and tumorigenesis. ErbB activation is a complex process involving receptor-ligand binding, receptor dimerization, phosphorylation, and trafficking (internalization, recycling and degradation), which together dictate the spatio-temporal distribution of active receptors within the cell. The ability to predict this distribution, and elucidation of the factors regulating it, would help to establish a mechanistic link between ErbB expression levels and the cellular response. Towards this end, we constructed mathematical models for deconvolving the contributions of receptor dimerization and phosphorylation to EGFR activation, and to examine the dependence of these processes on sub-cellular location. We collected experimental datasets for EGFR activation dynamics in human mammary epithelial cells, with the specific goal of model parameterization, and used the data to estimate parameters for several alternate models. Model-based analysis indicated that: 1) signal termination via receptor dephosphorylation in late endosomes, prior to degradation, is an important component of the response, 2) less than 40% of the receptors in the cell are phosphorylated at any given time, even at saturating ligand doses, and 3) receptor dephosphorylation rates at the cell surface and early endosomes are comparable. We validated the last finding by measuring EGFR dephosphorylation rates at various times following ligand addition both in whole cells, and in endosomes using ELISAs and fluorescent imaging. Overall, our results provide important information on how EGFR phosphorylation levels are regulated within cells. Further, the mathematical model described here can be extended to determine receptor dimer abundances in cells co-expressing various levels of ErbB receptors. This study demonstrates that an iterative cycle of experiments and modeling can be used to gain mechanistic insight regarding complex cell signaling networks.
Video Analysis and Modeling Performance Task to promote becoming like scientists in classrooms
Wee, Loo Kang
2015-01-01
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
2015-01-01
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.
2010-12-01
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.; Johnson, J.D.; McKay, M.D.; Shiver, A.W.; Sprung, J.L.
1995-01-01
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.
Luther, Douglas S.
The SubAntarctic Flux and Dynamics Experiment (SAFDE): Renewal Proposal for Data Analysis and Model Comparisons A "Group Proposal" Submitted to the National Science Foundation Division of Ocean's modeling work is fully funded by LANL, he does not require additional funding from NSF, except that some
Deng, Xunming
solar cells and/or the comparison of these predicted results with real multi-junction devices have beenMODELING 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
Peirce, Anthony
Analysis of the classical pseudo-3D model for hydraulic fracture with equilibrium height growth t This paper deals with the so-called ``pseudo three-dimensional'' (P3D) model for a hydraulic fracture of the length, height, and aperture of the hydraulic fracture, in contrast to the numerical formulations adopted
Rash, John E.
FREEZE-FRACTURE AND IMMUNOGOLD ANALYSIS OF AQUAPORIN-4 (AQP4) SQUARE ARRAYS, WITH MODELS OF AQP4 proteins in a tetrameric IMP. Several struc- tural models are considered that incorporate freeze-fracture of AQP4 in "square arrays" of astrocytes and ependymocytes Early freeze-fracture studi
Collett Jr., Jeffrey L.
Convective Precipitation Variability as a Tool for General Circulation Model Analysis CHARLOTTE A Precipitation variability is analyzed in two versions of the Community Atmospheric Model (CAM), the standard rainfall as soon as the boundary layer energizes. Precipitation is also concurrent with tropospheric
Development of a natural gas systems analysis model (GSAM). Annual report, July 1994--June 1995
NONE
1995-07-01
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.
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
1996-08-29
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.
Estimating Loss-of-Coolant Accident Frequencies for the Standardized Plant Analysis Risk Models
S. A. Eide; D. M. Rasmuson; C. L. Atwood
2008-09-01
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.
2014-09-01
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.
Evans, J.S.; Moeller, D.W.; Cooper, D.W.
1985-07-01
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.
CHEMICAL ANALYSIS OF SIMULATED HIGH LEVEL WASTE GLASSES TO SUPPORT SULFATE SOLUBILITY MODELING
Fox, K.; Marra, J.
2014-08-14
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
Haihua Zhao; Per F. Peterson
2010-10-01
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.
2014-12-11
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.
2010-01-01
COVERED (From - To) Renewable Energy and Efficiency Modelingphotovoltaics renewable energy renewable energy certificatecoordinated by the Renewable Energy and Efficiency Modeling
Liberzon, Daniel
International Conference on FormalInternational Conference on Formal ModellingModelling andand, SwedenFORMATS 2005, Uppsala, Sweden #12;International Conference on FormalInternational Conference on the specification language Interface to Theorem Provers Simulator Model checking #12;International Conference
Statistical analysis and modeling of intermittent transport events in the tokamak SOL
Anderson, J; Xanthopoulos, P; Ricci, P; Furno, I
2014-01-01
The turbulence observed in the scrape-off-layer of a tokamak is often characterized by intermittent events of bursty nature, a feature which raises concerns about the prediction of heat loads on the physical boundaries of the device. It appears thus necessary to delve into the statistical properties of turbulent physical fields such as density, electrostatic potential and temperature, focusing on the mathematical expression of tails of the probability distribution functions. The method followed here is to generate statistical information from time-traces of the plasma density stemming from Braginskii-type fluid simulations, and check this against a first-principles theoretical model. The analysis of the numerical simulations indicates that the probability distribution function of the intermittent process contains strong exponential tails, as predicted by the analytical theory.
C. Ainamon; C. H. Miwadinou; A. V. Monwanou; J. B. Chabi Orou
2014-02-14
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.
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
2014-01-01
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.
Tracking and Analysis Framework (TAF) model documentation and user`s guide
Bloyd, C.; Camp, J.; Conzelmann, G.
1996-12-01
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.
Superdeformed band in the $N = Z+4$ nucleus $^{40}$Ar: A projected shell model analysis
Yang, Ying-Chun; Sun, Yang; Guidry, Mike
2015-01-01
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.
Merkle, Peter Benedict
2006-03-01
Vulnerability analysis and threat assessment require systematic treatments of adversary and defender characteristics. This work addresses the need for a formal grammar for the modeling and analysis of adversary and defender engagements of interest to the National Nuclear Security Administration (NNSA). Analytical methods treating both linguistic and numerical information should ensure that neither aspect has disproportionate influence on assessment outcomes. The adversary-defender modeling (ADM) grammar employs classical set theory and notation. It is designed to incorporate contributions from subject matter experts in all relevant disciplines, without bias. The Attack Scenario Space U{sub S} is the set universe of all scenarios possible under physical laws. An attack scenario is a postulated event consisting of the active engagement of at least one adversary with at least one defended target. Target Information Space I{sub S} is the universe of information about targets and defenders. Adversary and defender groups are described by their respective Character super-sets, (A){sub P} and (D){sub F}. Each super-set contains six elements: Objectives, Knowledge, Veracity, Plans, Resources, and Skills. The Objectives are the desired end-state outcomes. Knowledge is comprised of empirical and theoretical a priori knowledge and emergent knowledge (learned during an attack), while Veracity is the correspondence of Knowledge with fact or outcome. Plans are ordered activity-task sequences (tuples) with logical contingencies. Resources are the a priori and opportunistic physical assets and intangible attributes applied to the execution of associated Plans elements. Skills for both adversary and defender include the assumed general and task competencies for the associated plan set, the realized value of competence in execution or exercise, and the opponent's planning assumption of the task competence.
Helton, J.C.; Johnson, J.D.; Rollstin, J.A.; Shiver, A.W.; Sprung, J.L.
1995-01-01
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 food pathways 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 87 imprecisely-known input variables on the following reactor accident consequences are studied: crop growing season dose, crop long-term dose, milk growing season dose, total food pathways dose, total ingestion pathways dose, total long-term pathways dose, area dependent cost, crop disposal cost, milk disposal cost, condemnation area, crop disposal area and milk disposal area. When the predicted variables are considered collectively, the following input variables were found to be the dominant contributors to uncertainty: fraction of cesium deposition on grain fields that is retained on plant surfaces and transferred directly to grain, maximum allowable ground concentrations of Cs-137 and Sr-90 for production of crops, ground concentrations of Cs-134, Cs-137 and I-131 at which the disposal of milk will be initiated due to accidents that occur during the growing season, ground concentrations of Cs-134, I-131 and Sr-90 at which the disposal of crops will be initiated due to accidents that occur during the growing season, rate of depletion of Cs-137 and Sr-90 from the root zone, transfer of Sr-90 from soil to legumes, transfer of Cs-137 from soil to pasture, transfer of cesium from animal feed to meat, and the transfer of cesium, iodine and strontium from animal feed to milk.
Helton, J.C.; Johnson, J.D.; Rollstin, J.A.; Shiver, A.W.; Sprung, J.L.
1995-01-01
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 chronic exposure pathways 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 75 imprecisely known input variables on the following reactor accident consequences are studied: crop growing season dose, crop long-term dose, water ingestion dose, milk growing season dose, long-term groundshine dose, long-term inhalation dose, total food pathways dose, total ingestion pathways dose, total long-term pathways dose, total latent cancer fatalities, area-dependent cost, crop disposal cost, milk disposal cost, population-dependent cost, total economic cost, condemnation area, condemnation population, crop disposal area and milk disposal area. When the predicted variables are considered collectively, the following input variables were found to be the dominant contributors to uncertainty: dry deposition velocity, transfer of cesium from animal feed to milk, transfer of cesium from animal feed to meat, ground concentration of Cs-134 at which the disposal of milk products will be initiated, transfer of Sr-90 from soil to legumes, maximum allowable ground concentration of Sr-90 for production of crops, fraction of cesium entering surface water that is consumed in drinking water, groundshine shielding factor, scale factor defining resuspension, dose reduction associated with decontamination, and ground concentration of 1-131 at which disposal of crops will be initiated due to accidents that occur during the growing season.
Ye, Sheng; Li, Hongyi; Huang, Maoyi; Ali, Melkamu; Leng, Guoyong; Leung, Lai-Yung R.; Wang, Shaowen; Sivapalan, Murugesu
2014-07-21
Subsurface stormflow is an important component of the rainfall–runoff response, especially in steep terrain. Its contribution to total runoff is, however, poorly represented in the current generation of land surface models. The lack of physical basis of these common parameterizations precludes a priori estimation of the stormflow (i.e. without calibration), which is a major drawback for prediction in ungauged basins, or for use in global land surface models. This paper is aimed at deriving regionalized parameterizations of the storage–discharge relationship relating to subsurface stormflow from a top–down empirical data analysis of streamflow recession curves extracted from 50 eastern United States catchments. Detailed regression analyses were performed between parameters of the empirical storage–discharge relationships and the controlling climate, soil and topographic characteristics. The regression analyses performed on empirical recession curves at catchment scale indicated that the coefficient of the power-law form storage–discharge relationship is closely related to the catchment hydrologic characteristics, which is consistent with the hydraulic theory derived mainly at the hillslope scale. As for the exponent, besides the role of field scale soil hydraulic properties as suggested by hydraulic theory, it is found to be more strongly affected by climate (aridity) at the catchment scale. At a fundamental level these results point to the need for more detailed exploration of the co-dependence of soil, vegetation and topography with climate.
Irena : tool suite for modeling and analysis of small-angle scattering.
Ilavsky, J.; Jemian, P.
2009-04-01
Irena, a tool suite for analysis of both X-ray and neutron small-angle scattering (SAS) data within the commercial Igor Pro application, brings together a comprehensive suite of tools useful for investigations in materials science, physics, chemistry, polymer science and other fields. In addition to Guinier and Porod fits, the suite combines a variety of advanced SAS data evaluation tools for the modeling of size distribution in the dilute limit using maximum entropy and other methods, dilute limit small-angle scattering from multiple non-interacting populations of scatterers, the pair-distance distribution function, a unified fit, the Debye-Bueche model, the reflectivity (X-ray and neutron) using Parratt's formalism, and small-angle diffraction. There are also a number of support tools, such as a data import/export tool supporting a broad sampling of common data formats, a data modification tool, a presentation-quality graphics tool optimized for small-angle scattering data, and a neutron and X-ray scattering contrast calculator. These tools are brought together into one suite with consistent interfaces and functionality. The suite allows robust automated note recording and saving of parameters during export.
Cuntz, M.; Roy, D.; Musielak, Z. E., E-mail: cuntz@uta.ed, E-mail: dipanjan.roy@etumel.univmed.f, E-mail: zmusielak@uta.ed [Department of Physics, University of Texas at Arlington, Arlington, TX 76019 (United States)
2009-11-20
A significant controversy regarding the climate history of the Earth and its relationship to the development of complex life forms concerns the rise of oxygen in the early Earth's atmosphere. Geological records show that this rise occurred about 2.4 Gyr ago, when the atmospheric oxygen increased from less than 10{sup -5} present atmospheric level (PAL) to more than 0.01 PAL and possibly above 0.1 PAL. However, there is a debate whether this rise happened relatively smoothly or with well-pronounced ups and downs (the Yoyo model). In our study, we explore a simplified atmospheric chemical system consisting of oxygen, methane, and carbon that is driven by the sudden decline of the net input of reductants to the surface as previously considered by Goldblatt et al. Based on the transition stability analysis for the system equations, constituting a set of non-autonomous and non-linear differential equations, as well as the inspection of the Lyapunov exponents, it is found that the equations do not exhibit chaotic behavior. In addition, the rise of oxygen occurs relative smoothly, possibly with minor bumps (within a factor of 1.2), but without major jumps. This result clearly argues against the Yoyo model in agreement with recent geological findings.
Sensitivity analysis of the MM5 weather model using automatic differentiation
Bischof, C.H. [Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, Illinois 60439 (United States)] [Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, Illinois 60439 (United States); Pusch, G.D. [Physics Department, Michigan State University, East Lansing, Michigan 48842 (United States)] [Physics Department, Michigan State University, East Lansing, Michigan 48842 (United States); Knoesel, R. [Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, Illinois 60439 (United States)] [Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, Illinois 60439 (United States)
1996-11-01
We present a general method for using automatic differentiation to facilitate model sensitivity analysis. Automatic differentiation techniques augment, in a completely mechanical fashion, an existing code such that it also simultaneously and efficiently computes derivatives. Our method allows the sensitivities of the code{close_quote}s outputs to its parameters and inputs to be determined with minimal human effort by exploiting the relationship between differentiation and formal perturbation theory. Employing this methodology, we performed a sensitivity study of the MM5 code, a mesoscale weather model jointly developed by Penn State University and the National Center for Atmospheric Research, that is composed of roughly 40,000 lines of Fortran 77 code. Our results show that automatic differentiation-computed sensitivities exhibit superior accuracy compared to divided difference approximations computed from finite-amplitude perturbations. We also comment on a numerically induced precursor wave that would almost certainly have been undetectable if one used a divided difference method. {copyright} {ital 1996 American Institute of Physics.}
Min, Kyoung
2013-07-16
Better understanding and control of crack growth direction during hydraulic fracturing are essential for enhancing productivity of geothermal and petroleum reservoirs. Structural analysis of fracture propagation and impact ...
Blair, N.
2010-01-01
potential future scenarios for renewable energy and otherRenewable Energy Modeling Series Resources for the Futureand future costs and performance of all conventional power and renewable energy
Blair, N.
2010-01-01
DATES COVERED (From - To) Renewable Energy and EfficiencyModels Addressed a Common High Renewable Energy PenetrationWood (OnLocation) National Renewable Energy Laboratory 1617
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Bouskill, N. J.; Riley, W. J.; Tang, J.
2014-08-18
Accurate representation of ecosystem processes in land models is crucial for reducing predictive uncertainty in energy and greenhouse gas feedbacks with the atmosphere. 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 above and belowground high-latitude ecosystem responses to warming and nitrogen addition, and identified mechanisms absent, or poorly parameterized in CLM4.5. While the two model versions predicted similar trajectories for soil carbon stocks following both types of perturbation, other variables (e.g., belowground respiration) differedmore »from the observations in both magnitude and direction, indicating the underlying mechanisms are inadequate for representing high-latitude ecosystems. The observational synthesis attribute these differences to missing representations of microbial dynamics, characterization of above and belowground functional processes, and nutrient competition. We use the observational meta-analyses to discuss potential approaches to improving the current models (e.g., the inclusion of dynamic vegetation or different microbial functional guilds), however, we also raise a cautionary note on the selection of data sets and experiments to be included in a 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 preclude a rigorous evaluation of the model responses to nitrogen perturbation. Overall, we demonstrate here that elucidating ecological mechanisms via meta-analysis can identify deficiencies in both ecosystem models and empirical experiments.« less
Liu, C.; Zeig, M.; Claridge, D. E.; Wei, G.; Bruner, H.; Turner, W. D.
2005-01-01
A Method for Simulating Heat Recovery Systems Using AirModel in Implementations of the ASHRAE Simplified Energy Analysis Procedure Chenggang Liu Research Associate Energy Systems Laboratory Texas A&M University College Station, TX Marvin..., TX W. Dan Turner, Ph.D., P.E. Professor & Director Energy Systems Laboratory Texas A&M University College Station, TX Abstract A method for simulating heat recovery systems using AirModel in implementations of the ASHRAE simplified...
Sim, Yoon Sub; Kim, Eui Kwang; Eoh, Jae Hyuk [Korea Atomic Energy Research Institute (Korea, Republic of)
2005-06-15
To overcome the drawbacks of conventional schemes for a numerical analysis of a steam generator (SG), an efficient numerical model has been developed to analyze the steady state of a once-through-type SG where the feedwater is heated to superheated steam. In the developed model, the temperature and enthalpy are defined at the boundary of a calculation cell, and the exact solutions for the temperature distribution in a calculation cell are utilized. This feature of the developed model frees calculation from the undesirable effects of numerical diffusion, and only a small number of nodes are required. Also, the developed model removes the ambiguity from the parameter values at the inlet and exit of a calculation.The BoSupSG-SS computer code was developed by using the analysis model, and it performed well with only three calculation nodes to analyze a superheated SG. The developed model can be effectively used for the cases where a fast one-dimensional calculation is required such as an SG or system design analysis.
So, Hing-Cheung
SPEECH ENHANCEMENT IN CAR NOISE ENVIRONMENT BASED ON AN ANALYSIS- SYNTHESIS APPROACH USING HARMONIC using harmonic noise model (HNM) in car noise environment. The major advantages of this method are effective suppression of car noise even in very low signal-to-noise ratio environments and mitigation
Yi, Jingang
IEEE TRANSACTIONS ON ROBOTICS, VOL. 25, NO. 5, OCTOBER 2009 1087 Kinematic Modeling and Analysis--Skid-steered mobile robots are widely used because of their simple mechanism and high reliability. Understanding the kinematics and dynamics of such a robotic platform is, how- ever, challenging due to the complex wheel
RodrÃguez, Rodolfo
Analysis of a FEM-BEM model posed on the conducting domain for the time-dependent eddy currentÂ´atica, Universidad de ConcepciÂ´on, Casilla 160-C, Concepcion, Chile. Abstract The three-dimensional eddy current time. Keywords: Boundary elements; eddy current problem; finite elements; time-dependent electromagnetic problem
Bertsch George F.
PHYSICAL REVIEW C VOLUME 49, NUMBER 1 JANUARY 1994 Hanbury-Brown --Twiss analysis in a solvable of meson correlations by Hanbury-~rown --Twiss interferometry is tested with a simple model of meson the correlation function depends on the Bose symmetry of the particles as in the Hanbury-Brown --Twiss (HBT
Lepech, Michael D.
). Cement production accounts for 5% of all global anthropogenic carbon dioxide (CO2) emissions #12;AdvancesAdvances in Life-Cycle Cost Analysis and Design of Civil Infrastructure Systems 143 LIFE CYCLE COST and cost model was developed to evaluate infrastructure sustainability, and compare alternative materials
Subramanian, Venkat
Experimental analysis and model-based optimization of microalgae growth in photo-bioreactors using]. Besides physical and chemical methods for sequestration of CO2 from flue gas [2], microalgae culture holds great potential for converting flue gas to biomass. Microalgae can capture solar energy more efficiently