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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOEHazel Crest, Illinois:EdinburghEldorado IvanpahGas WellsColumbiaArea,
Edinburgh Motor Assessment (EMAS)
Bak, Thomas
2013-12-01T23:59:59.000Z
Edinburgh Motor Assessment (EMAS) is a brief motor screening test, specifically designed for assessment of patients with dementia, aphasia and other cognitive disorders. It focuses, therefore, on those motor symptoms, ...
Wu, Thomas
aircraft mission duty cycle. A hydraulic press will exert a corresponding load profile onto the EMA-model validation. For this test, a Danaher EMA (EC-5) and an MTS hydraulic press (MTS 458.20 controller) are used. The hydraulic press is commanded to exert a corresponding load profile. Due to the limitation of the selected
Energy Materials Coordinating Committee (EMaCC)
Not Available
1991-05-31T23:59:59.000Z
This report summarizes EMaCC activities for fiscal year 1990 and describes the materials research programs of various offices and divisions within the department. The DOE Energy Materials Coordinating Committee (EMaCC) serves primarily to enhance coordination among the Department's materials programs and to further the effective use of materials expertise within the department. (JL)
animal model studies: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Pose within the jEMA System Mathematics Websites Summary: the jEMA system. It proposes to control the animation of 3D computer graphics models through the captureGraphics Model...
Energy Materials Coordinating Committee (EMaCC): Fiscal year 1996. Annual technical report
NONE
1997-08-01T23:59:59.000Z
The DOE Energy Materials Coordinating Committee (EMaCC) serves primarily to enhance coordination among the Department`s materials programs and to further effective use of materials expertise within the Department. These functions are accomplished through the exchange of budgetary and planning information among program managers and through technical meetings/workshops on selected topics involving both DOE and major contractors. In addition, EMaCC assists in obtaining materials-related inputs for both intra- and interagency compilations. The EMaCC reports to the Director of the Office of Energy Research in his or her capacity as overseer of the technical programs of the Department. This annual technical report is mandated by the EMaCC terms of reference. This report summarizes EMaCC activities for FY 1996 and describes the materials research programs of various offices and divisions within the Department.
Energy Materials Coordinating Committee (EMaCC) Fiscal Year 1999 annual technical report
None
2000-10-31T23:59:59.000Z
The DOE Energy Materials Coordinating Committee (EMaCC) serves primarily to enhance coordination among the Department`s materials programs and to further effective use of materials expertise within the Department. These functions are accomplished through the exchange of budgetary and planning information among program managers and through technical meetings/workshops on selected topics involving both DOE and major contractors. In addition, EMaCC assists in obtaining materials-related inputs for both intra- and interagency compilations. This report summarizes EMaCC activities for FY 1999 and describes the materials research programs of various offices and divisions within the Department.
Energy Materials Coordinating Committee (EMaCC). Annual technical report, Fiscal Year 2001
none,
2002-08-01T23:59:59.000Z
The DOE Energy Materials Coordinating Committee (EMaCC) serves primarily to enhance coordination among the Department's materials programs and to further effective use of materials expertise within the Department. These functions are accomplished through the exchange of budgetary and planning information among program managers and through technical meetings/workshops on selected topics involving both DOE and major contractors. In addition, EMaCC assists in obtaining materials-related inputs for both intra- and interagency compilations.
Broader source: Energy.gov [DOE]
DOE modeling and analysis activities focus on reducing uncertainties and improving transparency in photovoltaics (PV) and concentrating solar power (CSP) performance modeling. The overall goal of...
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
1994-07-01T23:59:59.000Z
The DOE Energy Materials Coordinating Committee (EMaCC) serves primarily to enhance coordination among the Department`s materials programs and to further effective use of materials expertise within the Department. These functions are accomplished through the exchange of budgetary and planning information among program managers and through technical meetings/workshops on selected topics involving both DOE and major contractors. In addition, EMaCC assists in obtaining materials-related inputs for both intra- and interagency compilations. This report summarizes EMaCC activities for FY 1993 and describes the materials research programs of various offices and divisions within the Department. The program descriptions consist of a funding summary for each Assistant Secretary office and the Office of Energy Research, and detailed project summaries with project goals and accomplishments. The FY 1993 budget summary table for DOE Materials Activities in each of the programs is presented.
Sandia National Laboratories: Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
On September 19, 2013, in Computational Modeling & Simulation, Distribution Grid Integration, Energy, Facilities, Grid Integration, Modeling, Modeling & Analysis, News, News &...
Sandia National Laboratories: Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Mark Boslough Featured in NOVA Special about the Chelyabinsk Meteor On April 3, 2013, in Capabilities, Computational Modeling & Simulation, Modeling, Modeling, Modeling & Analysis,...
Sandia National Laboratories: Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Sandian Mark Boslough Featured on NOVA Episode about Chelyabinsk Meteor On November 20, 2013, in Computational Modeling & Simulation, Modeling, Modeling, Modeling & Analysis,...
Sandia National Laboratories: Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Sandia Study Shows Large LNG Fires Hotter but Smaller Than Expected On December 6, 2011, in Analysis, Energy Assurance, Infrastructure Security, Modeling, Modeling & Analysis,...
Energy Materials Coordinating Committee (EMaCC), Fiscal year 1992. Annual technical report
Not Available
1993-05-01T23:59:59.000Z
The DOE EMaCC serves to coordinate the department`s materials programs and to further effective use of materials expertise within the department. This document presents summaries of budgets and of research projects, arranged according to the offices of energy efficiency and renewable energy, energy research, environmental restoration and waste management, nuclear energy, civilian radioactive waste management, defense, and fossil energy. A directory and a keyword index are included.
Translating Model Simulators to Analysis Models
de Lara, Juan
Translating Model Simulators to Analysis Models Juan de Lara1 and Hans Vangheluwe2 1 Polytechnic generation of model-to-model transformations given a description of the operational semantics of the source of operational triple graph grammar rules that transform the static information (initial model) and the dynamics
Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel...
Office of Environmental Management (EM)
and Fuel Cells Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel Cells The Fuel Cell Technologies Office's systems analysis program uses a consistent set of models...
Strategic Analysis and Modeling
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
analysis, NREL-Market and Policy Impact Analysis, NREL-SI, NREL-VT, ORNL, PNNL * Industry: Celanese, ExxonMobil, Linde, Proterro, SABIC, U.S. DRIVE * Government Agencies:...
Innovative Corridors Initiative: Business Model Analysis
Shaheen, Susan; Lingham, Viginia; Finson, Rachel S.
2007-01-01T23:59:59.000Z
Wenger, Joyce. Business Models for Vehicle InfrastructureCorridors Initiative: Business Model Analysis Rachel S.Corridors Initiative: Business Model Analysis Task Order
Structural Analysis of Combustion Models
Tóth, J; Zsély, I
2013-01-01T23:59:59.000Z
Using ReactionKinetics, a Mathematica based package a few dozen detailed models for combustion of hydrogen, carbon monoxide and methanol are investigated. Essential structural characteristics are pulled out, and similarities and differences of the mechanisms are highlighted. These investigations can be used before or parallel with usual numerical investigations, such as pathway analysis, sensitivity analysis, parameter estimation, or simulation.
Sandia National Laboratories: Modeling and Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Modeling and Analysis Sandian Mark Boslough Featured on NOVA Episode about Chelyabinsk Meteor On November 20, 2013, in Computational Modeling & Simulation, Modeling, Modeling,...
Model building techniques for analysis.
Walther, Howard P.; McDaniel, Karen Lynn; Keener, Donald; Cordova, Theresa Elena; Henry, Ronald C.; Brooks, Sean; Martin, Wilbur D.
2009-09-01T23:59:59.000Z
The practice of mechanical engineering for product development has evolved into a complex activity that requires a team of specialists for success. Sandia National Laboratories (SNL) has product engineers, mechanical designers, design engineers, manufacturing engineers, mechanical analysts and experimentalists, qualification engineers, and others that contribute through product realization teams to develop new mechanical hardware. The goal of SNL's Design Group is to change product development by enabling design teams to collaborate within a virtual model-based environment whereby analysis is used to guide design decisions. Computer-aided design (CAD) models using PTC's Pro/ENGINEER software tools are heavily relied upon in the product definition stage of parts and assemblies at SNL. The three-dimensional CAD solid model acts as the design solid model that is filled with all of the detailed design definition needed to manufacture the parts. Analysis is an important part of the product development process. The CAD design solid model (DSM) is the foundation for the creation of the analysis solid model (ASM). Creating an ASM from the DSM currently is a time-consuming effort; the turnaround time for results of a design needs to be decreased to have an impact on the overall product development. This effort can be decreased immensely through simple Pro/ENGINEER modeling techniques that summarize to the method features are created in a part model. This document contains recommended modeling techniques that increase the efficiency of the creation of the ASM from the DSM.
Analysis of Water Modeling of Air Entrainment
Beckermann, Christoph
Analysis of Water Modeling of Air Entrainment S.C. Jain Professor and Research Engineer Dept. Civil, C., "Analysis of Water Modeling of Air Entrainment," in Proceedings of the 48th SFSA Technical An analysis is reported of the water modeling experiments of Bates et al. (1994) to study air entrainment
Lee, S.
2011-05-17T23:59:59.000Z
The process of recovering the waste in storage tanks at the Savannah River Site (SRS) typically requires mixing the contents of the tank to ensure uniformity of the discharge stream. Mixing is accomplished with one to four dual-nozzle slurry pumps located within the tank liquid. For the work, a Tank 48 simulation model with a maximum of four slurry pumps in operation has been developed to estimate flow patterns for efficient solid mixing. The modeling calculations were performed by using two modeling approaches. One approach is a single-phase Computational Fluid Dynamics (CFD) model to evaluate the flow patterns and qualitative mixing behaviors for a range of different modeling conditions since the model was previously benchmarked against the test results. The other is a two-phase CFD model to estimate solid concentrations in a quantitative way by solving the Eulerian governing equations for the continuous fluid and discrete solid phases over the entire fluid domain of Tank 48. The two-phase results should be considered as the preliminary scoping calculations since the model was not validated against the test results yet. A series of sensitivity calculations for different numbers of pumps and operating conditions has been performed to provide operational guidance for solids suspension and mixing in the tank. In the analysis, the pump was assumed to be stationary. Major solid obstructions including the pump housing, the pump columns, and the 82 inch central support column were included. The steady state and three-dimensional analyses with a two-equation turbulence model were performed with FLUENT{trademark} for the single-phase approach and CFX for the two-phase approach. Recommended operational guidance was developed assuming that local fluid velocity can be used as a measure of sludge suspension and spatial mixing under single-phase tank model. For quantitative analysis, a two-phase fluid-solid model was developed for the same modeling conditions as the single-phase model. The modeling results show that the flow patterns driven by four pump operation satisfy the solid suspension requirement, and the average solid concentration at the plane of the transfer pump inlet is about 12% higher than the tank average concentrations for the 70 inch tank level and about the same as the tank average value for the 29 inch liquid level. When one of the four pumps is not operated, the flow patterns are satisfied with the minimum suspension velocity criterion. However, the solid concentration near the tank bottom is increased by about 30%, although the average solid concentrations near the transfer pump inlet have about the same value as the four-pump baseline results. The flow pattern results show that although the two-pump case satisfies the minimum velocity requirement to suspend the sludge particles, it provides the marginal mixing results for the heavier or larger insoluble materials such as MST and KTPB particles. The results demonstrated that when more than one jet are aiming at the same position of the mixing tank domain, inefficient flow patterns are provided due to the highly localized momentum dissipation, resulting in inactive suspension zone. Thus, after completion of the indexed solids suspension, pump rotations are recommended to avoid producing the nonuniform flow patterns. It is noted that when tank liquid level is reduced from the highest level of 70 inches to the minimum level of 29 inches for a given number of operating pumps, the solid mixing efficiency becomes better since the ratio of the pump power to the mixing volume becomes larger. These results are consistent with the literature results.
Model Structure Analysis for Model-based Operation of
Van den Hof, Paul
conducted in the framework of the "Integrated System Approach Petroleum Production" (ISAPP) programmeModel Structure Analysis for Model-based Operation of Petroleum Reservoirs #12;#12;MODEL STRUCTURE ANALYSIS FOR MODEL-BASED OPERATION OF PETROLEUM RESERVOIRS PROEFSCHRIFT ter verkrijging van de graad van
Modelling and Hazard Analysis for Contaminated Sediments Using Stamp Model
Boyer, Edmond
to evaluate safety and to perform accident analysis). Finally, the third section describes the concreteModelling and Hazard Analysis for Contaminated Sediments Using Stamp Model Karim Hardy* , Franck complex, call for a comprehensive approach to risk analysis which characterises all threats (to humans
Bifurcation Analysis of Various Power System Models
Cańizares, Claudio A.
modeling, voltage collapse. I. Introduction Voltage stability problems in power systems may occurBifurcation Analysis of Various Power System Models William D. Rosehart Claudio A. Ca This paper presents the bifurcation analysis of a detailed power system model composed of an aggregated
Transportation Analysis, Modeling, and Simulation (TAMS) Application
Transportation Analysis, Modeling, and Simulation (TAMS) Application Center for Transportation Passenger Flows Supply Chain Efficiency Transportation: Energy Environment Safety Security Vehicle Technologies T he Center for Transportation Analysis (CTA) TAMS application is a web-based tool that supports
Model Discrepancy in the Saturated Path Hydrology Model: Initial Analysis
Oakley, Jeremy
Model Discrepancy in the Saturated Path Hydrology Model: Initial Analysis Tom Fricker University discrepancy in the Saturated Path Hydrology Model (logSPM, Kuczera et al., 2006). The purpose). 1 #12;3 The Saturated Path Hydrology Model We consider the Saturated Path Hydrology Model (log
Sandia National Laboratories: Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
from improved climate models to performance models for underground waste storage to 3D printing and digital rock physics. Marianne Walck (Director ... NASA Award for Marginal...
Sandia National Laboratories: Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
society and delivers resources that advance computing as a science ... Wind Generator Modeling On June 26, 2014, in Computational Modeling & Simulation, Energy, Energy...
H2A Hydrogen Delivery Infrastructure Analysis Models and Conventional...
H2A Hydrogen Delivery Infrastructure Analysis Models and Conventional Pathway Options Analysis Results - Interim Report H2A Hydrogen Delivery Infrastructure Analysis Models and...
MAUI: Modeling, Analysis, and Ultrafast Imaging | Argonne National...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Data Science Modeling and Simulation Multimodal Imaging MAUI: Modeling, Analysis, and Ultrafast Imaging MAUI: Modeling, Analysis, and Ultrafast Imaging Project Goals...
Agent-Based Modeling and Simulation for Hydrogen Transition Analysis...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Agent-Based Modeling and Simulation for Hydrogen Transition Analysis Agent-Based Modeling and Simulation for Hydrogen Transition Analysis Presentation on Agent-Based Modeling and...
Sandia National Laboratories: Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
to address the most challenging and demanding climate-change issues. Accelerated Climate Modeling for Energy (ACME) is designed to accel-erate the development and applica-tion of...
Scripted Building Energy Modeling and Analysis (Presentation)
Macumber, D.
2012-10-01T23:59:59.000Z
Building energy analysis is often time-intensive, error-prone, and non-reproducible. Entire energy analyses can be scripted end-to-end using the OpenStudio Ruby API. Common tasks within an analysis can be automated using OpenStudio Measures. Graphical user interfaces (GUI's) and component libraries reduce time, decrease errors, and improve repeatability in energy modeling.
Update 4 to: A Dispersion Modeling Analysis of Downwash from...
Office of Environmental Management (EM)
Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Unit 4 Emissions at Maximum and Minimum Loads Update 4 to: A Dispersion Modeling Analysis of Downwash...
Update 2 to: A Dispersion Modeling Analysis of Downwash from...
Office of Environmental Management (EM)
Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Unit 1 Emissions at Maximum and Minimum Loads Update 2 to: A Dispersion Modeling Analysis of Downwash...
Update 1 to: A Dispersion Modeling Analysis of Downwash from...
Office of Environmental Management (EM)
Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Unit 1 Emissions in a Cycling Mode Update 1 to: A Dispersion Modeling Analysis of Downwash from...
An Analysis Platform for Multiscale Hydrogeologic Modeling with...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
An Analysis Platform for Multiscale Hydrogeologic Modeling with Emphasis on Hybrid Multiscale Methods. An Analysis Platform for Multiscale Hydrogeologic Modeling with Emphasis on...
Grid Monitoring, Modeling, and Analysis | ornl.gov
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Modeling, and Analysis SHARE Grid Monitoring, Modeling, and Analysis The electric power industry has undergone extensive changes over the past several decades and become...
Improvements to Hydrogen Delivery Scenario Analysis Model (HDSAM...
Office of Environmental Management (EM)
Improvements to Hydrogen Delivery Scenario Analysis Model (HDSAM) and Results Improvements to Hydrogen Delivery Scenario Analysis Model (HDSAM) and Results This presentation by...
Combustion instability modeling and analysis
Santoro, R.J.; Yang, V.; Santavicca, D.A. [Pennsylvania State Univ., University Park, PA (United States); Sheppard, E.J. [Tuskeggee Univ., Tuskegee, AL (United States). Dept. of Aerospace Engineering
1995-12-31T23:59:59.000Z
It is well known that the two key elements for achieving low emissions and high performance in a gas turbine combustor are to simultaneously establish (1) a lean combustion zone for maintaining low NO{sub x} emissions and (2) rapid mixing for good ignition and flame stability. However, these requirements, when coupled with the short combustor lengths used to limit the residence time for NO formation typical of advanced gas turbine combustors, can lead to problems regarding unburned hydrocarbons (UHC) and carbon monoxide (CO) emissions, as well as the occurrence of combustion instabilities. The concurrent development of suitable analytical and numerical models that are validated with experimental studies is important for achieving this objective. A major benefit of the present research will be to provide for the first time an experimentally verified model of emissions and performance of gas turbine combustors. The present study represents a coordinated effort between industry, government and academia to investigate gas turbine combustion dynamics. Specific study areas include development of advanced diagnostics, definition of controlling phenomena, advancement of analytical and numerical modeling capabilities, and assessment of the current status of our ability to apply these tools to practical gas turbine combustors. The present work involves four tasks which address, respectively, (1) the development of a fiber-optic probe for fuel-air ratio measurements, (2) the study of combustion instability using laser-based diagnostics in a high pressure, high temperature flow reactor, (3) the development of analytical and numerical modeling capabilities for describing combustion instability which will be validated against experimental data, and (4) the preparation of a literature survey and establishment of a data base on practical experience with combustion instability.
Sandia Energy - Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757Kelley Ruehl Home KelleyMary CrawfordMesaModelingClimate
Modeling and Analysis ofModeling and Analysis of Hybrid Control SystemsHybrid Control Systems
Johansson, Karl Henrik
control systems, MOVEP, Bordeaux, 2006 Automatic gear boxAutomatic gear box #12;Karl H. Johansson, HybridModeling and Analysis ofModeling and Analysis of Hybrid Control SystemsHybrid Control Systems Karl.kth.se/~kallej MOVEP 2006, Bordeaux, France Karl H. Johansson, Hybrid control systems, MOVEP, Bordeaux
Update 6 to: A Dispersion Modeling Analysis of Downwash from...
Broader source: Energy.gov (indexed) [DOE]
Update 6 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant Modeling Baseload Units 3,4,5 More Documents & Publications Attachment A: Modeling...
Summer Academy 2011 Stochastic Analysis, Modelling and
Pfeifer, Holger
Summer Academy 2011 Stochastic Analysis, Modelling and Simulation of Complex Structures September pleasure to welcome you to the Summer Academy 2011, which is held at the alpine conference center "Söllerhaus" in Hirschegg/Kleinwalsertal during the two weeks of September 11-24, 2011. The Summer Academy
analysis risk models: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
of the analysis Paris-Sud XI, Universit de 6 IT Security Risk Analysis based on Business Process Models enhanced with Security Requirements Computer Technologies and...
Technical Cost Modeling - Life Cycle Analysis Basis for Program...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
- Life Cycle Analysis Basis for Program Focus Technical Cost Modeling - Life Cycle Analysis Basis for Program Focus Polymer Composites Research in the LM Materials Program Overview...
TSPA Model Development and Sensitivity Analysis of Processes...
Office of Environmental Management (EM)
Analysis of Processes Affecting Performance of a Salt Repository for Disposal of Heat-Generating Nuclear Waste TSPA Model Development and Sensitivity Analysis of Processes...
Dynamical System Analysis for a phantom model
Nilanjana Mahata; Subenoy Chakraborty
2014-04-24T23:59:59.000Z
The paper deals with a dynamical system analysis related to phantom cosmological model . Here gravity is coupled to phantom scalar field having scalar coupling function and a potential. The field equations are reduced to an autonomous dynamical system by a suitable redefinition of the basic variables and assuming some suitable form of the potential function. Finally, critical points are evaluated, their nature have been analyzed and corresponding cosmological scenario has been discussed.
Scripted Building Energy Modeling and Analysis: Preprint
Hale, E.; Macumber, D.; Benne, K.; Goldwasser, D.
2012-08-01T23:59:59.000Z
Building energy modeling and analysis is currently a time-intensive, error-prone, and nonreproducible process. This paper describes the scripting platform of the OpenStudio tool suite (http://openstudio.nrel.gov) and demonstrates its use in several contexts. Two classes of scripts are described and demonstrated: measures and free-form scripts. Measures are small, single-purpose scripts that conform to a predefined interface. Because measures are fairly simple, they can be written or modified by inexperienced programmers.
Update 3 to: A Dispersion Modeling Analysis of Downwash from...
Broader source: Energy.gov (indexed) [DOE]
Update 2 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Units 1 and 4 Together More Documents & Publications Update 1 to: A...
NREL's System Advisor Model Simplifies Complex Energy Analysis...
Office of Scientific and Technical Information (OSTI)
NREL's System Advisor Model Simplifies Complex Energy Analysis (Fact Sheet) Re-direct Destination: NREL has developed a tool -- the System Advisor Model (SAM) -- that can help...
Sandia National Laboratories: Analysis, Modeling, Cost of Energy...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
ProgramsAnalysis, Modeling, Cost of Energy, and Policy Impact: Wind Vision 2014 Analysis, Modeling, Cost of Energy, and Policy Impact: Wind Vision 2014 The "20% Wind Energy by...
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
Update 5 to: A Dispersion Modeling Analysis of Downwash from...
Office of Environmental Management (EM)
5 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant: Modeling Cycling Units 1, 2 plus One Baseload Unit Update 5 to: A Dispersion Modeling...
Stochastic multiscale models for fracture analysis of functionally graded materials
Rahman, Sharif
Chakraborty, Sharif Rahman * Department of Mechanical and Industrial Engineering, College of Engineering three multiscale models, including sequential, invasive, and concurrent models, for fracture analysis-intensity factors or accurate probability of fracture initiation. The concurrent multiscale model is sufficiently
SURVEY, ANALYSIS AND VALIDATION OF INFORMATION FOR BUSINESS PROCESS MODELING
SURVEY, ANALYSIS AND VALIDATION OF INFORMATION FOR BUSINESS PROCESS MODELING Nuno Castela Escola, Business Processes, Informational Resources, Activities, UML Abstract: Business processes modeling became a fundamental task for organizations. To model business processes is necessary to know all the activities
Global analysis of the intranuclear cascade model
Braun, E.; Fraenkel, Z.
1986-07-01T23:59:59.000Z
An analysis of the predictions of the intranuclear cascade model of Yariv-Fraenkel is made by means of global variables (flow angle and transverse momentum distributions). Signatures for the flow effect in the reaction are studied and the distributions of the shape of the events are determined, using the sphericity and coplanarity as shape parameters. The dependence of the results on two parameters of the model is investigated: the rearrangement of the particles in the Fermi sea after each particle-particle collision and the nuclear potential. The influence of the evaporation particles on the flow angle is checked. A comparison with the experimental results of the plastic ball/plastic wall group is made, using a simulation filter in order to take the experimental acceptance of the detector into account. The dependence of the flow angle on the mass of the colliding ions and on the bombarding energy is also studied. We find that the model predicts finite flow angles of the emitted particles. Slow rearrangement and a central potential cause larger flow angles. However, in all cases we find that the most probable calculated flow angle is smaller than the experimental one.
Analysis of partial loss reward models and its application
Telek, Miklós
Analysis of partial loss reward models and its application #3; M. Telek 1 , S. R#19;acz 2 1. The applicability of partial loss re- ward models and the proposed numerical analysis methods are demonstrated via the performance analysis of a computer system executing long running batch programs with checkpointing. Keywords
Modeling Elastic Properties in Finite-Element Analysis: How Much
Modeling Elastic Properties in Finite- Element Analysis: How Much Precision Is Needed to Produce analysis was investigated using a finite-element model of a Macaca fascicularis skull. Four finite-element realistically using the orthotropic elastic properties employed in analysis 4. Results suggest that finite-element
Extracting Team Mental Models Through Textual Analysis Kathleen M. Carley
Sadeh, Norman M.
Extracting Team Mental Models Through Textual Analysis Kathleen M. Carley Associate Professor of this paper appears in: Kathleen M. Carley, 1997, "Extracting Team Mental Models Through Textual Analysis for this paper, but for future work in this area. #12;-- 1 -- Extracting Team Mental Models Through Textual
SIMULATION, MODELING AND ANALYSIS OF A WATER TO AIR
SIMULATION, MODELING AND ANALYSIS OF A WATER TO AIR HEAT PUMP By ARUN SHENOY Bachelor December, 2004 #12;SIMULATION, MODELING AND ANALYSIS OF A WATER TO AIR HEAT PUMP Thesis Approved................................................................3 2.1. Equation fit water to air heat pump and chiller models...............................3 2
Agent-Based Modeling and Simulation for Hydrogen Transition Analysis
Broader source: Energy.gov [DOE]
Presentation on Agent-Based Modeling and Simulation for Hydrogen Transition Analysis given by Marianne Mintz of ANL during the DOE Hydrogen Transition Analysis Workshop on January 26, 2006.
Rotordynamic instability: nonlinear modeling and analysis
Cooper, Charles Ira
1998-01-01T23:59:59.000Z
A basic rotordynamic model is developed for an crographics. unbalanced rotor connected to a shaft modeled as a continuous beam. This model examines the effects of nonlinear dynamics strictly related to the rotor and shaft. The model dynamics include...
analysis model tsam: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
words Krzysztof Radzicki; Stphane Bonelli 2012-01-01 293 Generalized Impulse Response Analysis in Linear Multivariate Models CiteSeer Summary: Building on Koop, Pesaran and...
Joint Meeting on Hydrogen Delivery Modeling and Analysis Meeting...
Broader source: Energy.gov (indexed) [DOE]
Meeting on Hydrogen Delivery Modeling and Analysis FreedomCAR and Fuels Partnership Hydrogen Delivery, Storage and Fuel Pathway Integration Tech Teams May 8-9, 2007 Energetics...
TROPICAL DEFORESTATION MODELLING: A COMPARATIVE ANALYSIS OF DIFFERENT PREDICTIVE APPROACHES.
Paris-Sud XI, UniversitĂ© de
TROPICAL DEFORESTATION MODELLING: A COMPARATIVE ANALYSIS OF DIFFERENT PREDICTIVE APPROACHES-time discretisation; Remote Sensing; Neural Networks; Markov Chains; MCE; Dinamica; Risk management; Deforestation
Which Models Matter: Uncertainty and Sensitivity Analysis for
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Models Matter: Uncertainty and Sensitivity Analysis for Photovoltaic Power Systems Clifford W. Hansen and Andrew Pohl Sandia National Laboratories, Albuquerque, NM, 87185-1033, USA...
analysis system modeling: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Newcastle upon Tyne, University of 98 EquationFree System-Level Dynamic Modeling and Analysis in Energy Processing Engineering Websites Summary: Equation-Free System-Level...
Noisy Independent Factor Analysis Model for Density Estimation and Classification
Amato, U.
2009-06-09T23:59:59.000Z
We consider the problem of multivariate density estimation when the unknown density is assumed to follow a particular form of dimensionality reduction, a noisy independent factor analysis (IFA) model. In this model the ...
Studies of Neurological Transmission Analysis Hierarchical Bayesian Mixture Models
West, Mike
Studies of Neurological Transmission Analysis using Hierarchical Bayesian Mixture Models MIKE WEST of individual neuro transmitter release sites at nerve junctions. Models attempt to capture scientific features, with result ing neurophysiological insights in some recently generated experimental contexts. Further
Modeling and Analysis of CSP Systems (Fact Sheet)
Not Available
2010-08-01T23:59:59.000Z
Fact sheet describing NREL CSP Program capabilities in the area of modeling and analysis of CSP systems: assessing the solar resource, predicting performance and cost, studying environmental impact, and developing modeling software packages.
Analysis of inflationary cosmological models in gauge theories of gravitation
A. V. Minkevich; A. S. Garkun
2005-12-22T23:59:59.000Z
Inflationary homogeneous isotropic cosmological models filled by scalar fields and ultrarelativistic matter are examined in the framework of gauge theories of gravitation. By using quadratic scalar field potential numerical analysis of flat, open and closed models is curried out. Properties of cosmological models are investigated in dependence on indefinite parameter of cosmological equations and initial conditions at a bounce. Fulfilled analysis demonstrates regular character of all cosmological models.
Distributed Temporal Logic for the Analysis of Security Protocol Models
Basin, David
, showing that it is sufficient to consider models in which the intruder completely controls the networkDistributed Temporal Logic for the Analysis of Security Protocol Models David Basin Department to reason about and relate different security-protocol models. This includes reasoning about model
Analysis and Clustering of Model Clones: An Automotive Industrial Experience
Cordy, James R.
Analysis and Clustering of Model Clones: An Automotive Industrial Experience Manar H. Alalfi, James similarity in industrial automotive models. We apply our model clone detection tool, SIMONE, to identify and suggests better ways to maintain them. I. INTRODUCTION In todays automotive industry, models are widely
Exploiting Behavior Models for Availability Analysis of Interactive Systems
Cengarle, María Victoria
Exploiting Behavior Models for Availability Analysis of Interactive Systems Maximilian Junker Technische Universit¨at M¨unchen Abstract--We propose an approach for availability analysis that directly are reduced effort as no dedicated availability models need to be created as well as precise results due
Numerical modelling and analysis of a room temperature magnetic
Numerical modelling and analysis of a room temperature magnetic refrigeration system Thomas Frank and analysis of a room temperature magnetic refrigeration system Department: Fuel Cells and Solid State-dimensional mathematical model of an Active Magnetic Regenerator (AMR) system which is used for magnetic refrigeration
Non resonant transmission modelling with Statistical modal Energy distribution Analysis
Boyer, Edmond
be used as an alternative to Statistical Energy Analysis for describing subsystems with low modal overlap1 Non resonant transmission modelling with Statistical modal Energy distribution Analysis L. Maxit Capelle, F-69621 Villeurbanne Cedex, France Statistical modal Energy distribution Analysis (SmEdA) can
A priori and a posteriori analysis of finite volume discretizations of Darcy's equations
Achdou, Yves
A priori and a posteriori analysis of finite volume discretizations of Darcy's equations by Y of some finite volume disÂ cretizations of Darcy's equations. We propose two finite volume schemesâ??eÂ tisation par volumes finis des â??equations de Darcy. Nous proposons deux schâ??emas de volÂ umes finis sur des
Zakharov, Vladimir
Department o f Math ema tics , Tucso n, AZ 85721 · 520.626.6145 · i me @mat h.a rizo na. edu · im e. mat h.ar izona .e du ANNUAL REPORT, 20072008 INSTITUTE FOR MATHEMATICS AND EDUCATION #12;#12;I ns ti Education, March 2022, 2008 5 Southwestern Network Meeting and Proof Workshop, September 27, 2008 5 Facing
Sensitivity Analysis of the Gap Heat Transfer Model in BISON.
Swiler, Laura Painton; Schmidt, Rodney C.; Williamson, Richard (INL); Perez, Danielle (INL)
2014-10-01T23:59:59.000Z
This report summarizes the result of a NEAMS project focused on sensitivity analysis of the heat transfer model in the gap between the fuel rod and the cladding used in the BISON fuel performance code of Idaho National Laboratory. Using the gap heat transfer models in BISON, the sensitivity of the modeling parameters and the associated responses is investigated. The study results in a quantitative assessment of the role of various parameters in the analysis of gap heat transfer in nuclear fuel.
An Analysis of Web File Sizes: New Methods and Models
Wolfe, Patrick J.
An Analysis of Web File Sizes: New Methods and Models A Thesis presented by Brent Tworetzky consider such models and how to improve their fits. This thesis contributes to file size research-improved file size estimations over type-blind models. We therefore present a range of useful new file size
Fuel Cell System Improvement for Model-Based Diagnosis Analysis
Paris-Sud XI, Université de
Fuel Cell System Improvement for Model-Based Diagnosis Analysis Philippe Fiani & Michel Batteux of a model of a fuel cell system, in order to make it usable for model- based diagnosis methods. A fuel cell for the fuel cell stack but also for the system environment. In this paper, we present an adapted library which
Modeling and Analysis of Multi-Hop Control Networks
Alur, Rajeev
Modeling and Analysis of Multi-Hop Control Networks Rajeev Alur1 , Alessandro D'Innocenzo1,2 , Karl on control performance is needed. In this paper, we propose a formal model for analyzing the joint dynamics of the system, we define a switched system that models the dynamics of the composed multi-hop control network
Settlement Prediction, Gas Modeling and Slope Stability Analysis
Politčcnica de Catalunya, Universitat
Settlement Prediction, Gas Modeling and Slope Stability Analysis in Coll Cardús Landfill Li Yu using mechanical models Simulation of gas generation, transport and extraction in MSW landfill 1 models Simulation of gas generation, transport and extraction in MSW landfill 1) Analytical solution
Modeling and Analysis of Heterogeneous Regulation in Biological Networks.
Shamir, Ron
Modeling and Analysis of Heterogeneous Regulation in Biological Networks. Irit Gat-Viks Amos Tanay of an integrative approach to the modeling and learning of regulation. In this work we study steady state behavior (metabolites may regulate transcription, enzymes may regulate metabolic reactions). We show how such models can
Spatial Models for Groundwater Behavioral Analysis in Regions of Maharashtra
Sohoni, Milind
Spatial Models for Groundwater Behavioral Analysis in Regions of Maharashtra M.Tech Dissertation on groundwater and classified the years into good year if water levels are above the seasonal model in that year such as land-use, local hydrogeology. #12;Contents 1 Introduction 1 1.1 Spatial Models
ParaText : scalable text modeling and analysis.
Dunlavy, Daniel M.; Stanton, Eric T.; Shead, Timothy M.
2010-06-01T23:59:59.000Z
Automated processing, modeling, and analysis of unstructured text (news documents, web content, journal articles, etc.) is a key task in many data analysis and decision making applications. As data sizes grow, scalability is essential for deep analysis. In many cases, documents are modeled as term or feature vectors and latent semantic analysis (LSA) is used to model latent, or hidden, relationships between documents and terms appearing in those documents. LSA supplies conceptual organization and analysis of document collections by modeling high-dimension feature vectors in many fewer dimensions. While past work on the scalability of LSA modeling has focused on the SVD, the goal of our work is to investigate the use of distributed memory architectures for the entire text analysis process, from data ingestion to semantic modeling and analysis. ParaText is a set of software components for distributed processing, modeling, and analysis of unstructured text. The ParaText source code is available under a BSD license, as an integral part of the Titan toolkit. ParaText components are chained-together into data-parallel pipelines that are replicated across processes on distributed-memory architectures. Individual components can be replaced or rewired to explore different computational strategies and implement new functionality. ParaText functionality can be embedded in applications on any platform using the native C++ API, Python, or Java. The ParaText MPI Process provides a 'generic' text analysis pipeline in a command-line executable that can be used for many serial and parallel analysis tasks. ParaText can also be deployed as a web service accessible via a RESTful (HTTP) API. In the web service configuration, any client can access the functionality provided by ParaText using commodity protocols ... from standard web browsers to custom clients written in any language.
Solar Advisor Model; Session: Modeling and Analysis (Presentation)
Blair, N.
2008-04-01T23:59:59.000Z
This project supports the Solar America Initiative by: (1) providing a consistent framework for analyzing and comparing power system costs and performance across the range of solar technologies and markets, PV, solar heat systems, CSP, residential, commercial and utility markets; (2) developing and validating performance models to enable accurate calculation of levelized cost of energy (LCOE); (3) providing a consistent modeling platform for all TPP's; and (4) supporting implementation and usage of cost models.
Health Information Modeling, Simulation, and Analysis: ABMS of HIE Network
Kemner, Ken
Health Information Exchange Modeling, Simulation, and Analysis: ABMS of HIE Network Opportunity.S. healthcare system would provide a secure, nationwide, interoperable health information infrastructure that connects providers, consumers, and others involved in supporting health and healthcare. Effectively
Water Rights Analysis Package (WRAP) Modeling System Reference Manual
Wurbs, R.
2012-10-01T23:59:59.000Z
The Texas Water Resources Institute (TWRI), and many other agencies and organizations, have worked with Ralph Wurbs over the years to develop WRAP (the Water Rights Analysis Package). The WRAP model simulates management of the water resources of a...
Integrating Comprehensive Air Quality Modeling with Policy Analysis
electricity demand. Many of generators are uncontrolled diesel engines which have a high social cost. Adding Electricity Generation Elisabeth Anne Gilmore Submitted in partial fulfillment of the requirements Air Quality Modeling with Policy Analysis: Applications for Distributed Electricity Generation
Scalable analysis of stochastic process algebra models
Tribastone, Mirco
2010-01-01T23:59:59.000Z
The performance modelling of large-scale systems using discrete-state approaches is fundamentally hampered by the well-known problem of state-space explosion, which causes exponential growth of the reachable state space ...
THREE PRESENTATIONS ON GEOGRAPHICAL ANALYSIS AND MODELING
California at Santa Barbara, University of
, including strawberries, wheat, other foodstuffs, and Cadillacs. Given the other inputs I could demonstrate, Christaller, or Hagerstand models on real landscapes. For, say $20, you might purchase "The Los Angeles Region
Water Budget Analysis and Groundwater Inverse Modeling
Farid Marandi, Sayena
2012-07-16T23:59:59.000Z
the hydraulic conductivity field conditioned on the measurements of hydraulic conductivity and hydraulic head for saturated flow in randomly heterogeneous porous media. The groundwater modeling approach was found to be efficient in identifying the dominant...
Modified shielding jet model for twin-jet shielding analysis
Gilbride, Jennifer Frances
1983-01-01T23:59:59.000Z
MODIFIED SHIELDING JET MODEL FOR TWIN-JET SHIELDING ANALYSIS A Thesis by JENNIFER FRANCES GILBRIDE Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE... August 1983 Major Subject: Mechanical Engineering MODIFIED SHIELDING JET MODEL FOR TWIN-JET SHIELDING ANALYSIS A Thesis by JENNIFER FRANCES GILBRIDE Approved as to stvle and content by: 'Carl H. Gerhold (Chairman of Committee) J. Craag Dutton...
Building Information Modeling (BIM)-Based Daylighting Simulation and Analysis
Kota, S.; Haberl, J.S.; Clayton, M.; Yan, W.
2014-01-01T23:59:59.000Z
will be converted into daylighting models to run on the daylighting simulation engines. Once the architect defines the architectural model in CAD, a simulation expert creates the simulation input file to perform daylighting analysis. Each tool has its own way... the Radiance input file is created, different Radiance utilities are called using MS Windows BATCH scripting for doing a daylighting analysis [15]. In addition to AutoCAD, Radiance also has many utility programs that help in converting different geometry...
Global sensitivity analysis of computer models with functional inputs
Boyer, Edmond
-based sensitivity analysis techniques, based on the so-called Sobol's indices, when some input variables computer codes which need a preliminary metamodeling step before performing the sensitivity analysis. We). The "mean model" allows to estimate the sensi- tivity indices of each scalar input variables, while
Sensitivity Analysis for a Pyrotechnically Actuated Pin Puller Model*
chemical reaction producing both condensed phase and gas phase products. The high pressure productsSensitivity Analysis for a Pyrotechnically Actuated Pin Puller Model* Joseph M. Powerst and Keith A 46556-5637 USA Abstract This paper gives an analysis which determines the parametric sensitivity
absorption model analysis: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
absorption model analysis First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Thermochemical Analysis of...
Wu, Thomas
-history profile of load forces (force profile). Both of these profiles can be translated to the perspective and localized nature of the power demands of an EMA's motor, an especially Integrated Nonlinear Dynamic Modeling for simulating the motor over lengthy mission profiles. Instead, a nonlinear, lumped element model (NL-LEM) can
Bayesian models for DNA microarray data analysis
Lee, Kyeong Eun
2005-08-29T23:59:59.000Z
patients with either myeloid leukemia (AML) or acute lymphoblastic leukemia (ALL). Following the experimental setup of the original paper, the data were split into a training set consisting of 38 samples of which 27 are ALL and 11 are AML, and a test set... . . . . . . . . . . . . . . . . . . . . . . . . . 9 2.4. Application of Gene Selection to Hereditary Breast Cancer Data . . . . . . . . . . . . . . . . . . . . . . . . . 12 2.4.1.Sensitivity Analysis . . . . . . . . . . . . . . . . . . 18 2.5. Application to Leukemia Data...
Reservoir analysis model for battlefield operations
Sullivan, Garrett James
1988-01-01T23:59:59.000Z
'age. Tbe concrete gravity dam had eighteen spillway gates thirty-tvo feet in height along the top of the stxucture (Figure 7). The United Nations Copyright (1952) by the Society of Amexican Nilitaxy Engineers. Reprinted by permission from the January... of expert systems for Military Hydrology applications, specifically the reservoir drawdown problem. Finally, a next generation notional concept for the RANBO concept is presented incorporating a wide range of military requirements (dam-break analysis...
MODELING HUMAN RELIABILITY ANALYSIS USING MIDAS
Ronald L. Boring; Donald D. Dudenhoeffer; Bruce P. Hallbert; Brian F. Gore
2006-05-01T23:59:59.000Z
This paper summarizes an emerging collaboration between Idaho National Laboratory and NASA Ames Research Center regarding the utilization of high-fidelity MIDAS simulations for modeling control room crew performance at nuclear power plants. The key envisioned uses for MIDAS-based control room simulations are: (i) the estimation of human error with novel control room equipment and configurations, (ii) the investigative determination of risk significance in recreating past event scenarios involving control room operating crews, and (iii) the certification of novel staffing levels in control rooms. It is proposed that MIDAS serves as a key component for the effective modeling of risk in next generation control rooms.
A critical analysis of the hydrino model
Andreas Rathke
2005-05-20T23:59:59.000Z
Recently, spectroscopic and calorimetric observations of hydrogen plasmas and chemical reactions with them have been interpreted as evidence for the existence of electronic states of the hydrogen atom with a binding energy of more than 13.6 eV. The theoretical basis for such states, that have been dubbed hydrinos, is investigated. We discuss both, the novel deterministic model of the hydrogen atom, in which the existence of hydrinos was predicted, and standard quantum mechanics. Severe inconsistencies in the deterministic model are pointed out and the incompatibility of hydrino states with quantum mechanics is reviewed.
Analysis and Model-Based Control of Servomechanisms With Friction
Papadopoulos, Evangelos
Analysis and Model-Based Control of Servomechanisms With Friction Evangelos G. Papadopoulos e Engineering, National Technical University of Athens, 15780 Athens, Greece Friction is responsible for several, model-based feedback compensation is studied for servomechanism tracking tasks. Several kinetic friction
Enabling online geospatial isotopic model development and analysis
Zhang, Tonglin
Enabling online geospatial isotopic model development and analysis Hyojeong Lee1 , Lan Zhao1 leverages the computation resources available on the TeraGrid to perform geospatial data operations and geostatistical model calculations. It builds on a variety of open source technologies for GIS, geospatial data
Model-Driven Analysis and Synthesis of Textual Concrete Syntax
Paris-Sud XI, UniversitĂ© de
Model-Driven Analysis and Synthesis of Textual Concrete Syntax Pierre-Alain Muller1 , FrĂ©dĂ©ric textual concrete syntaxes with meta-models is still a challenge. Textual concrete syntaxes compilers to generate parsers. Unfortunately, these generated parsers produce concrete syntax trees, leaving
Minisymposium on Validated Methods: Applications to Modeling, Analysis,
Kreinovich, Vladik
in Medicine and Engineering Organizers: Andreas Rauh1 and Ekaterina Auer2 During the last decades, computer of the mathematical model of the considered process. In this minisymposium, we focus on validated methods as a meansMinisymposium on Validated Methods: Applications to Modeling, Analysis, and Design of Systems
Accelerated Degradation Tests: Modeling and Analysis William Q. Meeker
Accelerated Degradation Tests: Modeling and Analysis William Q. Meeker Dept. of Statistics, degradation measures can be taken over time. A relationship between component failure and amount of degradation makes it possible to use degradation models and data to make inferences and predictions about
Hamiltonian control systems From modeling to analysis and control
Knobloch,Jürgen
Hamiltonian control systems From modeling to analysis and control Arjan van der Schaft Johann-based modeling 3 Definition of port-Hamiltonian systems 4 Scattering: from power variables to wave variables 5, University of Groningen, the Netherlands DiHamiltonian control systems Elgersburg School, March, 2012 1 / 108
Full-System Power Analysis and Modeling for Server Environments
Kozyrakis, Christos
Full-System Power Analysis and Modeling for Server Environments Dimitris Economou, Suzanne Rivoire-density computer systems, have created a growing demand for better power management in server environments. Despite consumption trends and developing simple yet accurate models to predict full-system power. We study
Matrix Modeling Methods for Spaceflight Campaign Logistics Analysis
de Weck, Olivier L.
Matrix Modeling Methods for Spaceflight Campaign Logistics Analysis Afreen Siddiqi and Olivier L-based modeling approach for analyzing spaceflight campaign logistics. A campaign is considered to be a series logistics properties. A logistics strategy index is proposed for quantifying manifesting strategies
Analysis of Periodic GrowthDisturbance Models Timothy C. Reluga
Reluga, Tim
model for a fluctuating population. Changes in the disturbance frequency are shown to generate a period-bubbling bifurcation structure and population dynamics that are most variable at intermediate disturbance frequenciesAnalysis of Periodic GrowthDisturbance Models Timothy C. Reluga treluga
Modelling and Simulation for the Analysis of Securities Markets
Watt, Stephen M.
Modelling and Simulation for the Analysis of Securities Markets Rui Hu1,2 , Vadim Mazalov1 recognition algorithms. Our evaluation environment is a mar- ket simulator that uses historical data or live approach to modelling and simulation and how they work together. 1 Introduction Securities markets have
Hydrogen Delivery Scenario Analysis Model (HDSAM)
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking of Blythe SolarContamination Detector Workshop HydrogenScenario Analysis
Bayesian models for DNA microarray data analysis
Lee, Kyeong Eun
2005-08-29T23:59:59.000Z
Data in Yeast Data (Spellman et al., 1998) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69 13 Six Clusters of Expression Time Courses by Our Proposed Model in Yeast Data (Spellman et al., 1998) . . . . . . . . . . . . . . . . . . 70... In Table I, we present the strongly significant genes with the largest frequencies. We note that the three leading genes in Table I appear among the six strongest genes in an analogous list in Kim et al. (2002). This has occurred even though the rating...
Systems Analysis Model Simul, 200?, Vol. 00, No. 0, pp. 114 MODELING AND ANALYSIS OF HYSTERESIS IN
PROOFS {GandB}Gsam/GSAM-31049.3d Systems Analysis Model Simul, (GSAM) Paper: GSAM-31049 Keyword ISSN 0232 of energy storage and dissipation in harmonic drives [10,11,1315]. The accurate modeling of a total-9298 print: ISSN 1029-4902 online ß 200? Taylor & Francis Ltd DOI: 10.1080/0232929032000115137 #12;some
Compartmentalization analysis using discrete fracture network models
La Pointe, P.R.; Eiben, T.; Dershowitz, W. [Golder Associates, Redmond, VA (United States); Wadleigh, E. [Marathon Oil Co., Midland, TX (United States)
1997-08-01T23:59:59.000Z
This paper illustrates how Discrete Fracture Network (DFN) technology can serve as a basis for the calculation of reservoir engineering parameters for the development of fractured reservoirs. It describes the development of quantitative techniques for defining the geometry and volume of structurally controlled compartments. These techniques are based on a combination of stochastic geometry, computational geometry, and graph the theory. The parameters addressed are compartment size, matrix block size and tributary drainage volume. The concept of DFN models is explained and methodologies to compute these parameters are demonstrated.
Sandia Energy - PV Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home Distribution Grid IntegrationOffshore Wind RD&D:PV Modeling &
Scenario Evaluation and Regionalization Analysis (SERA) Model
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMay 2015 <Department ofDepartment| DepartmentScale Models andScenario
A new tool for accelerator system modeling and analysis
Gillespie, G.H.; Hill, B.W. [G.H. Gillespie Associates, Inc., Del Mar, CA (United States); Jameson, R.A. [Los Alamos National Lab., NM (United States)
1994-09-01T23:59:59.000Z
A novel computer code is being developed to generate system level designs of radiofrequency ion accelerators. The goal of the Accelerator System Model (ASM) code is to create a modeling and analysis tool that is easy to use, automates many of the initial design calculations, supports trade studies used in assessing alternate designs and yet is flexible enough to incorporate new technology concepts as they emerge. Hardware engineering parameters and beam dynamics are modeled at comparable levels of fidelity. Existing scaling models of accelerator subsystems were sued to produce a prototype of ASM (version 1.0) working within the Shell for Particle Accelerator Related Codes (SPARC) graphical user interface. A small user group has been testing and evaluating the prototype for about a year. Several enhancements and improvements are now being developed. The current version (1.1) of ASM is briefly described and an example of the modeling and analysis capabilities is illustrated.
Modeling and analysis of energy conversion systems
Den Braven, K.R. (Idaho Univ., Moscow, ID (USA). Dept. of Mechanical Engineering); Stanger, S. (EG and G Idaho, Inc., Idaho Falls, ID (USA))
1990-10-01T23:59:59.000Z
An investigation was conducted to assess the need for and the feasibility of developing a computer code that could model thermodynamic systems and predict the performance of energy conversion systems. To assess the market need for this code, representatives of a few industrial organizations were contacted, including manufacturers, system and component designers, and research personnel. Researchers and small manufacturers, designers, and installers were very interested in the possibility of using the proposed code. However, large companies were satisfied with the existing codes that they have developed for their own use. Also, a survey was conduced of available codes that could be used or possibly modified for the desired purpose. The codes were evaluated with respect to a list of desirable features, which was prepared as a result of the survey. A few publicly available codes were found that might be suitable. The development, verification, and maintenance of such a code would require a substantial, ongoing effort. 21 refs.
Building Information Modeling (BIM)-Based Daylighting Simulation and Analysis
Kota, S.; Haberl, J.S.; Clayton, M.; Yan, W.
tools Radiance and DAYSIM. Keywords: Building Information Modeling, BIM, Daylighting Simulation, Radiance, DAYSIM 1 Introduction Building performance analyses are important aspects of designing sustainable buildings. One of the performance analyses...) with daylighting analysis tools (Radiance and DAYSIM as sample simulation tools, which are widely used to study the daylighting performance of buildings). 2 Literature review 2.1 Daylighting simulation tools Over the years many analysis tools have been...
Sensitivity analysis of the fission gas behavior model in BISON.
Swiler, Laura Painton; Pastore, Giovanni [Idaho National Laboratory, Idaho Fall, ID; Perez, Danielle [Idaho National Laboratory, Idaho Fall, ID; Williamson, Richard [Idaho National Laboratory, Idaho Fall, ID
2013-05-01T23:59:59.000Z
This report summarizes the result of a NEAMS project focused on sensitivity analysis of a new model for the fission gas behavior (release and swelling) in the BISON fuel performance code of Idaho National Laboratory. Using the new model in BISON, the sensitivity of the calculated fission gas release and swelling to the involved parameters and the associated uncertainties is investigated. The study results in a quantitative assessment of the role of intrinsic uncertainties in the analysis of fission gas behavior in nuclear fuel.
Uncertainty and sensitivity analysis for photovoltaic system modeling.
Hansen, Clifford W.; Pohl, Andrew Phillip; Jordan, Dirk [National Center for Photovoltaics, National Renewable Energy Laboratory, Golden, CO] [National Center for Photovoltaics, National Renewable Energy Laboratory, Golden, CO
2013-12-01T23:59:59.000Z
We report an uncertainty and sensitivity analysis for modeling DC energy from photovoltaic systems. We consider two systems, each comprised of a single module using either crystalline silicon or CdTe cells, and located either at Albuquerque, NM, or Golden, CO. Output from a PV system is predicted by a sequence of models. Uncertainty in the output of each model is quantified by empirical distributions of each model's residuals. We sample these distributions to propagate uncertainty through the sequence of models to obtain an empirical distribution for each PV system's output. We considered models that: (1) translate measured global horizontal, direct and global diffuse irradiance to plane-of-array irradiance; (2) estimate effective irradiance from plane-of-array irradiance; (3) predict cell temperature; and (4) estimate DC voltage, current and power. We found that the uncertainty in PV system output to be relatively small, on the order of 1% for daily energy. Four alternative models were considered for the POA irradiance modeling step; we did not find the choice of one of these models to be of great significance. However, we observed that the POA irradiance model introduced a bias of upwards of 5% of daily energy which translates directly to a systematic difference in predicted energy. Sensitivity analyses relate uncertainty in the PV system output to uncertainty arising from each model. We found that the residuals arising from the POA irradiance and the effective irradiance models to be the dominant contributors to residuals for daily energy, for either technology or location considered. This analysis indicates that efforts to reduce the uncertainty in PV system output should focus on improvements to the POA and effective irradiance models.
Fuel Cell Power Model for CHP and CHHP Economics and Performance Analysis (Presentation)
Steward, D.; Penev, M.
2010-03-30T23:59:59.000Z
This presentation describes the fuel cell power model for CHP and CHHP economics and performance analysis.
MASTERS REPORT ANALYSIS AND MODELING OF ACID NEUTRALIZING CAPACITY
itself against acidification and is used to monitor the effect of acid rain on watersheds. From 1993MASTERS REPORT ANALYSIS AND MODELING OF ACID NEUTRALIZING CAPACITY IN THE MID-ATLANTIC HIGHLANDS UNIVERSITY #12;ABSTRACT Acid Neutralizing Capacity (ANC) is a measure of a solution's ability to buffer
Model-Based Dependability Analysis of Programmable Drug Infusion Pumps
Sankaranarayanan, Sriram
Model-Based Dependability Analysis of Programmable Drug Infusion Pumps Sriram Sankaranarayanan.lastname@colorado.edu Abstract. Infusion pumps are commonly used in home/hospital care to inject drugs into a patient a case-study involving an infusion pump used to manage pain through the infusion of analgesic drugs
Model-based experimental analysis for inter-polymer process
Grossmann, Ignacio E.
) + Polyethylene (PE) ARCEL TOUGH FLEXIBLE Advanced packaging material Interpenetrating polymer network productModel-based experimental analysis for inter-polymer process CMU: Weijie Lin, Lorenz T. Biegler processed in a sequential way Polymer A Polymer B Project overview Inter-polymer process #12;Project
Stochastic Modeling and Performance Analysis of Multimedia SoCs
Paris-Sud XI, Université de
Stochastic Modeling and Performance Analysis of Multimedia SoCs Balaji Raman1, Ayoub Nouri1, Deepak.raman@imag.fr Abstract--Quality of video and audio output is a design-time constraint for portable multimedia devices-case due to high variability in a multimedia system. In future mobile devices, the playout buffer size
Stochastic Modeling and Analysis of Plant Microtubule System Characteristics
Eren, Ezgi
2012-07-16T23:59:59.000Z
problem. Overall, we build a comprehensive framework for analysis and control of microtubule organization in plant cells using a wide range of models and methodologies in conjunction. This research also has broader impacts related to the fields of bio-energy...
Analysis of Time Series Using Compact Model-Based Descriptions
Kriegel, Hans-Peter
Analysis of Time Series Using Compact Model-Based Descriptions Hans-Peter Kriegel, Peer Kr this is a combination of the coefficients 1, . . . , 3 representing the three input time series using a function f-of-the-art compression methods. The results are visually presented in a very concise way so that the user can easily
Accelerated Degradation Tests: Modeling and Analysis William Q. Meeker
Accelerated Degradation Tests: Modeling and Analysis William Q. Meeker Dept. of Statistics reliability with traditional life tests that record only failure times. For some components, degradation measures can be taken over time. A relationship between component failure and amount of degradation makes
Dynamical Analysis of the Fitzhugh-Nagumo Model
Beer, Randall D.
Dynamical Analysis of the Fitzhugh-Nagumo Model #12;IU/COGS-Q580/Beer This isYour Brain #12;IU/COGS-Q580/Beer Action Potentials Tateno, T., Harsch, A. and Robinson, H.P.C. (2004). Threshold Firing. Neurophysiology 92:2283-2294. #12;IU/COGS-Q580/Beer The Ionic Basis of the Action Potential Delcomyn, F. (1998
Department of Numerical Analysis Modeling the Austenite Ferrite
Vuik, Kees
Department of Numerical Analysis Modeling the Austenite Ferrite Transformation by Cellular Ferrite Transformation by Cellular Automaton Improving Interface Stability Master of Science Thesis. Computational Materials Science 48.3 (2010): 692-699] for the austenite to ferrite transformation in low
Mathematical Modeling and Analysis The Arbitrary-Lagrangian-
Kurien, Susan
of the fluid, (ii) preserve positivity of density and specific internal energy, (iii) satisfy the maximumMathematical Modeling and Analysis The Arbitrary-Lagrangian- Eulerian Code for 1D Compressible- zone phase in which a new grid is defined, and a remapping (conservative interpolation) phase in which
Blair, N.; Jenkin, T.; Milford, J.; Short, W.; Sullivan, P.; Evans, D.; Lieberman, E.; Goldstein, G.; Wright, E.; Jayaraman, K. R.; Venkatesh, B.; Kleiman, G.; Namovicz, C.; Smith, B.; Palmer, K.; Wiser, R.; Wood, F.
2009-09-01T23:59:59.000Z
Energy system modeling can be intentionally or unintentionally misused by decision-makers. This report describes how both can be minimized through careful use of models and thorough understanding of their underlying approaches and assumptions. The analysis summarized here assesses the impact that model and data choices have on forecasting energy systems by comparing seven different electric-sector models. This analysis was coordinated by the Renewable Energy and Efficiency Modeling Analysis Partnership (REMAP), a collaboration among governmental, academic, and nongovernmental participants.
Analysis of a chaotic spiking neural model: The NDS neuron
Mohammad Alhawarat; Waleed Nazih; Mohammad Eldesouki
2014-08-16T23:59:59.000Z
Further analysis and experimentation is carried out in this paper for a chaotic dynamic model, viz. the Nonlinear Dynamic State neuron (NDS). The analysis and experimentations are performed to further understand the underlying dynamics of the model and enhance it as well. Chaos provides many interesting properties that can be exploited to achieve computational tasks. Such properties are sensitivity to initial conditions, space filling, control and synchronization.Chaos might play an important role in information processing tasks in human brain as suggested by biologists. If artificial neural networks (ANNs) is equipped with chaos then it will enrich the dynamic behaviours of such networks. The NDS model has some limitations and can be overcome in different ways. In this paper different approaches are followed to push the boundaries of the NDS model in order to enhance it. One way is to study the effects of scaling the parameters of the chaotic equations of the NDS model and study the resulted dynamics. Another way is to study the method that is used in discretization of the original R\\"{o}ssler that the NDS model is based on. These approaches have revealed some facts about the NDS attractor and suggest why such a model can be stabilized to large number of unstable periodic orbits (UPOs) which might correspond to memories in phase space.
Infiltration modeling guidelines for commercial building energy analysis
Gowri, Krishnan; Winiarski, David W.; Jarnagin, Ronald E.
2009-09-30T23:59:59.000Z
This report presents a methodology for modeling air infiltration in EnergyPlus to account for envelope air barrier characteristics. Based on a review of various infiltration modeling options available in EnergyPlus and sensitivity analysis, the linear wind velocity coefficient based on DOE-2 infiltration model is recommended. The methodology described in this report can be used to calculate the EnergyPlus infiltration input for any given building level infiltration rate specified at known pressure difference. The sensitivity analysis shows that EnergyPlus calculates the wind speed based on zone altitude, and the linear wind velocity coefficient represents the variation in infiltration heat loss consistent with building location and weather data.
A Linear Circuit Model For Social Influence Analysis
Xiang, Biao; Liu, Qi; Xiong, Hui
2012-01-01T23:59:59.000Z
Understanding the behaviors of information propagation is essential for the effective exploitation of social influence in social networks. However, few existing influence models are both tractable and efficient for describing the information propagation process and quantitatively measuring social influence. To this end, in this paper, we develop a linear social influence model, named Circuit due to its close relation to the circuit network. Based on the predefined four axioms of social influence, we first demonstrate that our model can efficiently measure the influence strength between any pair of nodes. Along this line, an upper bound of the node(s)' influence is identified for potential use, e.g., reducing the search space. Furthermore, we provide the physical implication of the Circuit model and also a deep analysis of its relationships with the existing methods, such as PageRank. Then, we propose that the Circuit model provides a natural solution to the problems of computing each single node's authority a...
INTEGRATION OF FACILITY MODELING CAPABILITIES FOR NUCLEAR NONPROLIFERATION ANALYSIS
Gorensek, M.; Hamm, L.; Garcia, H.; Burr, T.; Coles, G.; Edmunds, T.; Garrett, A.; Krebs, J.; Kress, R.; Lamberti, V.; Schoenwald, D.; Tzanos, C.; Ward, R.
2011-07-18T23:59:59.000Z
Developing automated methods for data collection and analysis that can facilitate nuclear nonproliferation assessment is an important research area with significant consequences for the effective global deployment of nuclear energy. Facility modeling that can integrate and interpret observations collected from monitored facilities in order to ascertain their functional details will be a critical element of these methods. Although improvements are continually sought, existing facility modeling tools can characterize all aspects of reactor operations and the majority of nuclear fuel cycle processing steps, and include algorithms for data processing and interpretation. Assessing nonproliferation status is challenging because observations can come from many sources, including local and remote sensors that monitor facility operations, as well as open sources that provide specific business information about the monitored facilities, and can be of many different types. Although many current facility models are capable of analyzing large amounts of information, they have not been integrated in an analyst-friendly manner. This paper addresses some of these facility modeling capabilities and illustrates how they could be integrated and utilized for nonproliferation analysis. The inverse problem of inferring facility conditions based on collected observations is described, along with a proposed architecture and computer framework for utilizing facility modeling tools. After considering a representative sampling of key facility modeling capabilities, the proposed integration framework is illustrated with several examples.
Peer Review of NRC Standardized Plant Analysis Risk Models
Anthony Koonce; James Knudsen; Robert Buell
2011-03-01T23:59:59.000Z
The Nuclear Regulatory Commission (NRC) Standardized Plant Analysis Risk (SPAR) Models underwent a Peer Review using ASME PRA standard (Addendum C) as endorsed by NRC in Regulatory Guide (RG) 1.200. The review was performed by a mix of industry probabilistic risk analysis (PRA) experts and NRC PRA experts. Representative SPAR models, one PWR and one BWR, were reviewed against Capability Category I of the ASME PRA standard. Capability Category I was selected as the basis for review due to the specific uses/applications of the SPAR models. The BWR SPAR model was reviewed against 331 ASME PRA Standard Supporting Requirements; however, based on the Capability Category I level of review and the absence of internal flooding and containment performance (LERF) logic only 216 requirements were determined to be applicable. Based on the review, the BWR SPAR model met 139 of the 216 supporting requirements. The review also generated 200 findings or suggestions. Of these 200 findings and suggestions 142 were findings and 58 were suggestions. The PWR SPAR model was also evaluated against the same 331 ASME PRA Standard Supporting Requirements. Of these requirements only 215 were deemed appropriate for the review (for the same reason as noted for the BWR). The PWR review determined that 125 of the 215 supporting requirements met Capability Category I or greater. The review identified 101 findings or suggestions (76 findings and 25 suggestions). These findings or suggestions were developed to identify areas where SPAR models could be enhanced. A process to prioritize and incorporate the findings/suggestions supporting requirements into the SPAR models is being developed. The prioritization process focuses on those findings that will enhance the accuracy, completeness and usability of the SPAR models.
Dispersion modeling and analysis for multilayered open coaxial waveguides
Sven Nordebo; Gokhan Cinar; Stefan Gustafsson; Borje Nilsson
2014-02-20T23:59:59.000Z
This paper presents a detailed modeling and analysis regarding the dispersion characteristics of multilayered open coaxial waveguides. The study is motivated by the need of improved modeling and an increased physical understanding about the wave propagation phenomena on very long power cables which has a potential industrial application with fault localization and monitoring. The electromagnetic model is based on a layer recursive computation of axial-symmetric fields in connection with a magnetic frill generator excitation that can be calibrated to the current measured at the input of the cable. The layer recursive formulation enables a stable and efficient numerical computation of the related dispersion functions as well as a detailed analysis regarding the analytic and asymptotic properties of the associated determinants. Modal contributions as well as the contribution from the associated branch-cut (non-discrete radiating modes) are defined and analyzed. Measurements and modeling of pulse propagation on an 82 km long HVDC power cable are presented as a concrete example. In this example, it is concluded that the contribution from the second TM mode as well as from the branch-cut is negligible for all practical purposes. However, it is also shown that for extremely long power cables the contribution from the branch-cut can in fact dominate over the quasi-TEM mode for some frequency intervals. The main contribution of this paper is to provide the necessary analysis tools for a quantitative study of these phenomena.
Radiolysis Model Sensitivity Analysis for a Used Fuel Storage Canister
Wittman, Richard S.
2013-09-20T23:59:59.000Z
This report fulfills the M3 milestone (M3FT-13PN0810027) to report on a radiolysis computer model analysis that estimates the generation of radiolytic products for a storage canister. The analysis considers radiolysis outside storage canister walls and within the canister fill gas over a possible 300-year lifetime. Previous work relied on estimates based directly on a water radiolysis G-value. This work also includes that effect with the addition of coupled kinetics for 111 reactions for 40 gas species to account for radiolytic-induced chemistry, which includes water recombination and reactions with air.
Nonrigid Motion Analysis Based on Dynamic Refinement of Finite Element Models
Sarkar, Sudeep
Nonrigid Motion Analysis Based on Dynamic Refinement of Finite Element Models Leonid V. Tsap finite element models. The method is based on the iterative analysis of the differences betweenĂPhysically-based vision, deformable models, nonrigid motion analysis, biomedical applications, finite element analysis. Ă¦
SENSITIVITY ANALYSIS OF A TPB DEGRADATION RATE MODEL
Crawford, C; Tommy Edwards, T; Bill Wilmarth, B
2006-08-01T23:59:59.000Z
A tetraphenylborate (TPB) degradation model for use in aggregating Tank 48 material in Tank 50 is developed in this report. The influential factors for this model are listed as the headings in the table below. A sensitivity study of the predictions of the model over intervals of values for the influential factors affecting the model was conducted. These intervals bound the levels of these factors expected during Tank 50 aggregations. The results from the sensitivity analysis were used to identify settings for the influential factors that yielded the largest predicted TPB degradation rate. Thus, these factor settings are considered as those that yield the ''worst-case'' scenario for TPB degradation rate for Tank 50 aggregation, and, as such they would define the test conditions that should be studied in a waste qualification program whose dual purpose would be the investigation of the introduction of Tank 48 material for aggregation in Tank 50 and the bounding of TPB degradation rates for such aggregations.
Benchmarking analysis of three multimedia models: RESRAD, MMSOILS, and MEPAS
Cheng, J.J.; Faillace, E.R.; Gnanapragasam, E.K. [and others
1995-11-01T23:59:59.000Z
Multimedia modelers from the United States Environmental Protection Agency (EPA) and the United States Department of Energy (DOE) collaborated to conduct a comprehensive and quantitative benchmarking analysis of three multimedia models. The three models-RESRAD (DOE), MMSOILS (EPA), and MEPAS (DOE)-represent analytically based tools that are used by the respective agencies for performing human exposure and health risk assessments. The study is performed by individuals who participate directly in the ongoing design, development, and application of the models. A list of physical/chemical/biological processes related to multimedia-based exposure and risk assessment is first presented as a basis for comparing the overall capabilities of RESRAD, MMSOILS, and MEPAS. Model design, formulation, and function are then examined by applying the models to a series of hypothetical problems. Major components of the models (e.g., atmospheric, surface water, groundwater) are evaluated separately and then studied as part of an integrated system for the assessment of a multimedia release scenario to determine effects due to linking components of the models. Seven modeling scenarios are used in the conduct of this benchmarking study: (1) direct biosphere exposure, (2) direct release to the air, (3) direct release to the vadose zone, (4) direct release to the saturated zone, (5) direct release to surface water, (6) surface water hydrology, and (7) multimedia release. Study results show that the models differ with respect to (1) environmental processes included (i.e., model features) and (2) the mathematical formulation and assumptions related to the implementation of solutions (i.e., parameterization).
Energy conserving Anisotropic Anhysteretic Magnetic Modelling for Finite Element Analysis
Jens Krause
2012-12-20T23:59:59.000Z
To model ferromagnetic material in finite element analysis a correct description of the constitutive relationship (BH-law) must be found from measured data. This article proposes to use the energy density function as a centrepiece. Using this function, which turns out to be a convex function of the flux density, guarantees energy conservative modelling. The magnetic field strength can be seen as a derivative with respect to the flux density. Especially for anisotropic materials (from lamination and/or grain orientation) this method has advantages. Strictly speaking this method is only valid for anhysteretic and thermodynamically stable material.
Hanbury-Brown--Twiss analysis in a solvable model
Bertsch, G.F.; Danielewicz, P.; Herrmann, M. (Institute for Nuclear Theory, HN-12, University of Washington, Seattle, Washington 98195 (United States) Physics Department, FM-15, University of Washington, Seattle, Washington 98195 (United States) Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University, East Lansing, Michigan 48824 (United States))
1994-01-01T23:59:59.000Z
The analysis of meson correlations by Hanbury-Brown--Twiss interferometry is tested with a simple model of meson production by resonance decay. We derive conditions which should be satisfied in order to relate the measured momentum correlation to the classical source size. The Bose correlation effects are apparent in both the ratio of meson pairs to singles and in the ratio of like to unlike pairs. With our parameter values, we find that the single particle distribution is too distorted by the correlation to allow a straightforward analysis using pair correlation normalized by the singles rates. An analysis comparing symmetrized to unsymmetrized pairs is more robust, but nonclassical off-shell effects are important at realistic temperatures.
NREL's System Advisor Model Simplifies Complex Energy Analysis (Fact Sheet)
Not Available
2015-01-01T23:59:59.000Z
NREL has developed a tool -- the System Advisor Model (SAM) -- that can help decision makers analyze cost, performance, and financing of any size grid-connected solar, wind, or geothermal power project. Manufacturers, engineering and consulting firms, research and development firms, utilities, developers, venture capital firms, and international organizations use SAM for end-to-end analysis that helps determine whether and how to make investments in renewable energy projects.
Validation Analysis of the Shoal Groundwater Flow and Transport Model
A. Hassan; J. Chapman
2008-11-01T23:59:59.000Z
Environmental restoration at the Shoal underground nuclear test is following a process prescribed by a Federal Facility Agreement and Consent Order (FFACO) between the U.S. Department of Energy, the U.S. Department of Defense, and the State of Nevada. Characterization of the site included two stages of well drilling and testing in 1996 and 1999, and development and revision of numerical models of groundwater flow and radionuclide transport. Agreement on a contaminant boundary for the site and a corrective action plan was reached in 2006. Later that same year, three wells were installed for the purposes of model validation and site monitoring. The FFACO prescribes a five-year proof-of-concept period for demonstrating that the site groundwater model is capable of producing meaningful results with an acceptable level of uncertainty. The corrective action plan specifies a rigorous seven step validation process. The accepted groundwater model is evaluated using that process in light of the newly acquired data. The conceptual model of ground water flow for the Project Shoal Area considers groundwater flow through the fractured granite aquifer comprising the Sand Springs Range. Water enters the system by the infiltration of precipitation directly on the surface of the mountain range. Groundwater leaves the granite aquifer by flowing into alluvial deposits in the adjacent basins of Fourmile Flat and Fairview Valley. A groundwater divide is interpreted as coinciding with the western portion of the Sand Springs Range, west of the underground nuclear test, preventing flow from the test into Fourmile Flat. A very low conductivity shear zone east of the nuclear test roughly parallels the divide. The presence of these lateral boundaries, coupled with a regional discharge area to the northeast, is interpreted in the model as causing groundwater from the site to flow in a northeastward direction into Fairview Valley. Steady-state flow conditions are assumed given the absence of groundwater withdrawal activities in the area. The conceptual and numerical models were developed based upon regional hydrogeologic investigations conducted in the 1960s, site characterization investigations (including ten wells and various geophysical and geologic studies) at Shoal itself prior to and immediately after the test, and two site characterization campaigns in the 1990s for environmental restoration purposes (including eight wells and a year-long tracer test). The new wells are denoted MV-1, MV-2, and MV-3, and are located to the northnortheast of the nuclear test. The groundwater model was generally lacking data in the north-northeastern area; only HC-1 and the abandoned PM-2 wells existed in this area. The wells provide data on fracture orientation and frequency, water levels, hydraulic conductivity, and water chemistry for comparison with the groundwater model. A total of 12 real-number validation targets were available for the validation analysis, including five values of hydraulic head, three hydraulic conductivity measurements, three hydraulic gradient values, and one angle value for the lateral gradient in radians. In addition, the fracture dip and orientation data provide comparisons to the distributions used in the model and radiochemistry is available for comparison to model output. Goodness-of-fit analysis indicates that some of the model realizations correspond well with the newly acquired conductivity, head, and gradient data, while others do not. Other tests indicated that additional model realizations may be needed to test if the model input distributions need refinement to improve model performance. This approach (generating additional realizations) was not followed because it was realized that there was a temporal component to the data disconnect: the new head measurements are on the high side of the model distributions, but the heads at the original calibration locations themselves have also increased over time. This indicates that the steady-state assumption of the groundwater model is in error. To test the robustness of the model d
de Weck, Olivier L.
System Modeling, Analysis, and Optimization Methodology for Diesel Exhaust After;System Modeling, Analysis, and Optimization Methodology for Diesel Exhaust After-treatment Technologies Developing new aftertreatment technologies to meet emission regulations for diesel engines is a growing
Advanced Combustion/Modeling and Analysis Toward HCCI/PCCI in...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
CombustionModeling and Analysis Toward HCCIPCCI in a 60% Efficient Free-Piston Engine Advanced CombustionModeling and Analysis Toward HCCIPCCI in a 60% Efficient Free-Piston...
Critical Updates to the Hydrogen Analysis Production Model (H2A...
Broader source: Energy.gov (indexed) [DOE]
Fuel Cell Technologies Program webinar, "Critical Updates to the Hydrogen Analysis Production Model (H2A v3)." Critical Updates to the Hydrogen Analysis Production Model (H2A v3)...
MODELING AND ANALYSIS OF CHEMILUMINESCENCE SENSING FOR SYNGAS, METHANE AND JET-A COMBUSTION
Seitzman, Jerry M.
MODELING AND ANALYSIS OF CHEMILUMINESCENCE SENSING FOR SYNGAS, METHANE AND JET-A COMBUSTION of Technology August 2008 #12;MODELING AND ANALYSIS OF CHEMILUMINESCENCE SENSING FOR SYNGAS, METHANE AND JET
Model Independent Analysis of Beam Centroid Dynamics in Accelerators
Wang, Chun-xi
2003-04-21T23:59:59.000Z
Fundamental issues in Beam-Position-Monitor (BPM)-based beam dynamics observations are studied in this dissertation. The major topic is the Model-Independent Analysis (MIA) of beam centroid dynamics. Conventional beam dynamics analysis requires a certain machine model, which itself of ten needs to be refined by beam measurements. Instead of using any particular machine model, MIA relies on a statistical analysis of the vast amount of BPM data that often can be collected non-invasively during normal machine operation. There are two major parts in MIA. One is noise reduction and degrees-of-freedom analysis using a singular value decomposition of a BPM-data matrix, which constitutes a principal component analysis of BPM data. The other is a physical base decomposition of the BPM-data matrix based on the time structure of pulse-by-pulse beam and/or machine parameters. The combination of these two methods allows one to break the resolution limit set by individual BPMs and observe beam dynamics at more accurate levels. A physical base decomposition is particularly useful for understanding various beam dynamics issues. MIA improves observation and analysis of beam dynamics and thus leads to better understanding and control of beams in both linacs and rings. The statistical nature of MIA makes it potentially useful in other fields. Another important topic discussed in this dissertation is the measurement of a nonlinear Poincare section (one-turn) map in circular accelerators. The beam dynamics in a ring is intrinsically nonlinear. In fact, nonlinearities are a major factor that limits stability and influences the dynamics of halos. The Poincare section map plays a basic role in characterizing and analyzing such a periodic nonlinear system. Although many kinds of nonlinear beam dynamics experiments have been conducted, no direct measurement of a nonlinear map has been reported for a ring in normal operation mode. This dissertation analyzes various issues concerning map measurements and shows that it is possible to measure the Poincare section map (in terms of Taylor series) of a circular accelerator to a surprisingly high order and accuracy based on present BPM technology. MIA can overcome the inherent limit of BPM resolution. Nonlinear map measurements will advance understanding of the beam dynamics of a ring.
Design Considerations, Modeling and Analysis for the Multispectral Thermal Imager
Borel, C.C.; Clodius, W.B.; Cooke, B.J.; Smith, B.W.; Weber, P.G.
1999-02-01T23:59:59.000Z
The design of remote sensing systems is driven by the need to provide cost-effective, substantive answers to questions posed by our customers. This is especially important for space-based systems, which tend to be expensive, and which generally cannot be changed after they are launched. We report here on the approach we employed in developing the desired attributes of a satellite mission, namely the Multispectral Thermal Imager. After an initial scoping study, we applied a procedure which we call: "End-to-end modeling and analysis (EEM)." We began with target attributes, translated to observable signatures and then propagated the signatures through the atmosphere to the sensor location. We modeled the sensor attributes to yield a simulated data stream, which was then analyzed to retrieve information about the original target. The retrieved signature was then compared to the original to obtain a figure of merit: hence the term "end-to-end modeling and analysis." We base the EEM in physics to ensure high fidelity and to permit scaling. As the actual design of the payload evolves, and as real hardware is tested, we can update the EEM to facilitate trade studies, and to judge, for example, whether components that deviate from specifications are acceptable.
TTP 289A Syllabus: Energy Modeling for Policy Analysis TTP 289A-002
California at Davis, University of
TTP 289A Syllabus: Energy Modeling for Policy Analysis 1 TTP 289A-002 (CRN81927) Energy Modeling for Policy Analysis Quarter: Winter 2014 When: T/Th: 2:10-4 pm for policy analysis. We will explore several facets of energy systems modeling including supply and demand
Model Analysis ToolKit (MATK), Version 0
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'. William Hirst Hirst Enterprises, Inc.AnalysisModel
Motility of a Model Bristle-Bot: a Theoretical Analysis
Giancarlo Cicconofri; Antonio DeSimone
2014-10-22T23:59:59.000Z
Bristle-bots are legged robots that can be easily made out of a toothbrush head and a small vibrating engine. Despite their simple appearance, the mechanism enabling them to propel themselves by exploiting friction with the substrate is far from trivial. Numerical experiments on a model bristle-bot have been able to reproduce such a mechanism revealing, in addition, the ability to switch direction of motion by varying the vibration frequency. This paper provides a detailed account of these phenomena through a fully analytical treatment of the model. The equations of motion are solved through an expansion in terms of a properly chosen small parameter. The convergence of the expansion is rigorously proven. In addition, the analysis delivers formulas for the average velocity of the robot and for the frequency at which the direction switch takes place. A quantitative description of the mechanism for the friction modulation underlying the motility of the bristle-bot is also provided.
Stochastic Modeling and Analysis of Custom Integrated Circuits
Gong, Fang
2012-01-01T23:59:59.000Z
3 Fast Failure Analysis of Memory Circuits in HighIS) . . . . . . . . . . . . . . . . . . Failure Analysis ofSRAM parametric failure analysis. ” In Proc. ACM/IEEE Design
Parallel and Statistical Analysis and Modeling of Nanometer VLSI Systems
Liu, Xue-Xin
2013-01-01T23:59:59.000Z
for reduced order analysis of linear circuit with multipleWorst case analysis of linear analog circuit performancelinear analog circuits under parameter variations by robust interval analysis.
A Forward Looking Version of the MIT Emissions Prediction and Policy Analysis (EPPA) Model
Babiker, Mustafa M.H.
This paper documents a forward looking multi-regional general equilibrium model developed from the latest version of the recursive-dynamic MIT Emissions Prediction and Policy Analysis (EPPA) model. The model represents ...
Babiker, Mustafa H.M.; Reilly, John M.; Mayer, Monika.; Eckaus, Richard S.; Sue Wing, Ian.; Hyman, Robert C.
The Emissions Prediction and Policy Analysis (EPPA) model is a component of the MIT Integrated Earth Systems Model (IGSM). Here, we provide an overview of the model accessible to a broad audience and present the detailed ...
The MIT Emissions Prediction and Policy Analysis (EPPA) Model: Version 4
Paltsev, Sergey.
The Emissions Prediction and Policy Analysis (EPPA) model is the part of the MIT Integrated Global Systems Model (IGSM) that represents the human systems. EPPA is a recursive-dynamic multi-regional general equilibrium model ...
Carbajo, Juan (Oak Ridge National Laboratory, Oak Ridge, TN); Jeong, Hae-Yong (Korea Atomic Energy Research Institute, Daejeon, Korea); Wigeland, Roald (Idaho National Laboratory, Idaho Falls, ID); Corradini, Michael (University of Wisconsin, Madison, WI); Schmidt, Rodney Cannon; Thomas, Justin (Argonne National Laboratory, Argonne, IL); Wei, Tom (Argonne National Laboratory, Argonne, IL); Sofu, Tanju (Argonne National Laboratory, Argonne, IL); Ludewig, Hans (Brookhaven National Laboratory, Upton, NY); Tobita, Yoshiharu (Japan Atomic Energy Agency, Ibaraki-ken, Japan); Ohshima, Hiroyuki (Japan Atomic Energy Agency, Ibaraki-ken, Japan); Serre, Frederic (Centre d'%C3%94etudes nucl%C3%94eaires de Cadarache %3CU%2B2013%3E CEA, France)
2011-06-01T23:59:59.000Z
This report summarizes the results of an expert-opinion elicitation activity designed to qualitatively assess the status and capabilities of currently available computer codes and models for accident analysis and reactor safety calculations of advanced sodium fast reactors, and identify important gaps. The twelve-member panel consisted of representatives from five U.S. National Laboratories (SNL, ANL, INL, ORNL, and BNL), the University of Wisconsin, the KAERI, the JAEA, and the CEA. The major portion of this elicitation activity occurred during a two-day meeting held on Aug. 10-11, 2010 at Argonne National Laboratory. There were two primary objectives of this work: (1) Identify computer codes currently available for SFR accident analysis and reactor safety calculations; and (2) Assess the status and capability of current US computer codes to adequately model the required accident scenarios and associated phenomena, and identify important gaps. During the review, panel members identified over 60 computer codes that are currently available in the international community to perform different aspects of SFR safety analysis for various event scenarios and accident categories. A brief description of each of these codes together with references (when available) is provided. An adaptation of the Predictive Capability Maturity Model (PCMM) for computational modeling and simulation is described for use in this work. The panel's assessment of the available US codes is presented in the form of nine tables, organized into groups of three for each of three risk categories considered: anticipated operational occurrences (AOOs), design basis accidents (DBA), and beyond design basis accidents (BDBA). A set of summary conclusions are drawn from the results obtained. At the highest level, the panel judged that current US code capabilities are adequate for licensing given reasonable margins, but expressed concern that US code development activities had stagnated and that the experienced user-base and the experimental validation base was decaying away quickly.
Min, Kyoung
2013-07-16T23:59:59.000Z
are studied using a coupled thermo-hydro-mechanical (THM) analysis. The models are used to simulate microscopic and macroscopic fracture behaviors of laboratory-scale uniaxial and triaxial experiments on rock using an elastic/brittle damage model considering...
Markov Modeling with Soft Aggregation for Safety and Decision Analysis
COOPER,J. ARLIN
1999-09-01T23:59:59.000Z
The methodology in this report improves on some of the limitations of many conventional safety assessment and decision analysis methods. A top-down mathematical approach is developed for decomposing systems and for expressing imprecise individual metrics as possibilistic or fuzzy numbers. A ''Markov-like'' model is developed that facilitates combining (aggregating) inputs into overall metrics and decision aids, also portraying the inherent uncertainty. A major goal of Markov modeling is to help convey the top-down system perspective. One of the constituent methodologies allows metrics to be weighted according to significance of the attribute and aggregated nonlinearly as to contribution. This aggregation is performed using exponential combination of the metrics, since the accumulating effect of such factors responds less and less to additional factors. This is termed ''soft'' mathematical aggregation. Dependence among the contributing factors is accounted for by incorporating subjective metrics on ''overlap'' of the factors as well as by correspondingly reducing the overall contribution of these combinations to the overall aggregation. Decisions corresponding to the meaningfulness of the results are facilitated in several ways. First, the results are compared to a soft threshold provided by a sigmoid function. Second, information is provided on input ''Importance'' and ''Sensitivity,'' in order to know where to place emphasis on considering new controls that may be necessary. Third, trends in inputs and outputs are tracked in order to obtain significant information% including cyclic information for the decision process. A practical example from the air transportation industry is used to demonstrate application of the methodology. Illustrations are given for developing a structure (along with recommended inputs and weights) for air transportation oversight at three different levels, for developing and using cycle information, for developing Importance and Sensitivity measures for soil aggregation, for developing dependence methodology, for constructing early alert logic, for tracking trends, for relating the Markov model to other (e.g., Reason) models, for developing and demonstrating rudimentary laptop software, and for developing an input/output display methodology.
A Mathematical Programming Model for Optimal Layout Considering Quantitative Risk Analysis
Grossmann, Ignacio E.
A Mathematical Programming Model for Optimal Layout Considering Quantitative Risk Analysis Nancy of plant layout with safety considerations. The model considers a quantitative risk analysis to take safety aims at providing a more elaborate analysis of risk sources by considering a complete quantitative risk
Modeling and analysis of water-hammer in coaxial pipes
Cesana, Pierluigi
2015-01-01T23:59:59.000Z
The fluid-structure interaction is studied for a system composed of two coaxial pipes in an annular geometry, for both homogeneous isotropic metal pipes and fiber-reinforced (anisotropic) pipes. Multiple waves, traveling at different speeds and amplitudes, result when a projectile impacts on the water filling the annular space between the pipes. In the case of carbon fiber-reinforced plastic thin pipes we compute the wavespeeds, the fluid pressure and mechanical strains as functions of the fiber winding angle. This generalizes the single-pipe analysis of J. H. You, and K. Inaba, Fluid-structure interaction in water-filled pipes of anisotropic composite materials, J. Fl. Str. 36 (2013). Comparison with a set of experimental measurements seems to validate our models and predictions.
Integrated dynamic landscape analysis and modeling system (IDLAMS) : installation manual.
Li, Z.; Majerus, K. A.; Sundell, R. C.; Sydelko, P. J.; Vogt, M. C.
1999-02-24T23:59:59.000Z
The Integrated Dynamic Landscape Analysis and Modeling System (IDLAMS) is a prototype, integrated land management technology developed through a joint effort between Argonne National Laboratory (ANL) and the US Army Corps of Engineers Construction Engineering Research Laboratories (USACERL). Dr. Ronald C. Sundell, Ms. Pamela J. Sydelko, and Ms. Kimberly A. Majerus were the principal investigators (PIs) for this project. Dr. Zhian Li was the primary software developer. Dr. Jeffrey M. Keisler, Mr. Christopher M. Klaus, and Mr. Michael C. Vogt developed the decision analysis component of this project. It was developed with funding support from the Strategic Environmental Research and Development Program (SERDP), a land/environmental stewardship research program with participation from the US Department of Defense (DoD), the US Department of Energy (DOE), and the US Environmental Protection Agency (EPA). IDLAMS predicts land conditions (e.g., vegetation, wildlife habitats, and erosion status) by simulating changes in military land ecosystems for given training intensities and land management practices. It can be used by military land managers to help predict the future ecological condition for a given land use based on land management scenarios of various levels of training intensity. It also can be used as a tool to help land managers compare different land management practices and further determine a set of land management activities and prescriptions that best suit the needs of a specific military installation.
Integrated dynamic landscape analysis and modeling system (IDLAMS) : programmer's manual.
Klaus, C. M.; Li, Z.; Majerus, K. A.; Sundell, R. C.; Sydelko, P. J.; Vogt, M. C.
1999-02-24T23:59:59.000Z
The Integrated Dynamic Landscape Analysis and Modeling System (IDLAMS) is a prototype, integrated land management technology developed through a joint effort between Argonne National Laboratory (ANL) and the US Army Corps of Engineers Construction Engineering Research Laboratories (USACERL). Dr. Ronald C. Sundell, Ms. Pamela J. Sydelko, and Ms. Kimberly A. Majerus were the principal investigators (PIs) for this project. Dr. Zhian Li was the primary software developer. Dr. Jeffrey M. Keisler, Mr. Christopher M. Klaus, and Mr. Michael C. Vogt developed the decision analysis component of this project. It was developed with funding support from the Strategic Environmental Research and Development Program (SERDP), a land/environmental stewardship research program with participation from the US Department of Defense (DoD), the US Department of Energy (DOE), and the US Environmental Protection Agency (EPA). IDLAMS predicts land conditions (e.g., vegetation, wildlife habitats, and erosion status) by simulating changes in military land ecosystems for given training intensities and land management practices. It can be used by military land managers to help predict the future ecological condition for a given land use based on land management scenarios of various levels of training intensity. It also can be used as a tool to help land managers compare different land management practices and further determine a set of land management activities and prescriptions that best suit the needs of a specific military installation.
Davis JE, Eddy MJ, Sutton TM, Altomari TJ
2007-03-01T23:59:59.000Z
Solid modeling computer software systems provide for the design of three-dimensional solid models used in the design and analysis of physical components. The current state-of-the-art in solid modeling representation uses a boundary representation format in which geometry and topology are used to form three-dimensional boundaries of the solid. The geometry representation used in these systems is cubic B-spline curves and surfaces--a network of cubic B-spline functions in three-dimensional Cartesian coordinate space. Many Monte Carlo codes, however, use a geometry representation in which geometry units are specified by intersections and unions of half-spaces. This paper describes an algorithm for converting from a boundary representation to a half-space representation.
Dual-use tools and systematics-aware analysis workflows in the ATLAS Run-II analysis model
FARRELL, Steven; The ATLAS collaboration
2015-01-01T23:59:59.000Z
The ATLAS analysis model has been overhauled for the upcoming run of data collection in 2015 at 13 TeV. One key component of this upgrade was the Event Data Model (EDM), which now allows for greater flexibility in the choice of analysis software framework and provides powerful new features that can be exploited by analysis software tools. A second key component of the upgrade is the introduction of a dual-use tool technology, which provides abstract interfaces for analysis software tools to run in either the Athena framework or a ROOT-based framework. The tool interfaces, including a new interface for handling systematic uncertainties, have been standardized for the development of improved analysis workflows and consolidation of high-level analysis tools. This presentation will cover the details of the dual-use tool functionality, the systematics interface, and how these features fit into a centrally supported analysis environment.
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
Development of a natural gas systems analysis model (GSAM)
NONE
1999-10-01T23:59:59.000Z
This report provides an overview of the activities to date and schedule for future testing, validation, and authorized enhancements of Natural Gas Systems Analysis Model (GSAM). The goal of this report is to inform DOE managers of progress in model development and to provide a benchmark for ongoing and future research. Section II of the report provides a detailed discussion on the major GSAM development programs performed and completed during the period of performance, July 1, 1998 to September 30, 1999. Key improvements in the new GSAM version are summarized in Section III. Programmer's guides for GSAM main modules were produced to provide detailed descriptions of all major subroutines and main variables of the computer code. General logical flowcharts of the subroutines are also presented in the guides to provide overall picture of interactions between the subroutines. A standard structure of routine explanation is applied in every programmer's guide. The explanation is started with a brief description or main purpose of the routine, lists of input and output files read and created, and lists of invoked/child and calling/parent routines. In some of the guides, interactions between the routine itself and its parent and child routines are presented in the form of graphical flowchart. The explanation is then proceeded with step by step description of computer code in the subroutine where each step delegates a section of related code. Between steps, if a certain section of code needs further explanation, a Note is inserted with relevant explanation.
Biomass Scenario Model, BETO Analysis Platform Peer Review (Presentati...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
pathways Conversion R&D develop commercially viable technologies for converting biomass feedstocks p. 2-49 7. Analysis of effects of industrial learning 8. Analysis of pathway...
Analysis of real-time reservoir monitoring : reservoirs, strategies, & modeling.
Mani, Seethambal S.; van Bloemen Waanders, Bart Gustaaf; Cooper, Scott Patrick; Jakaboski, Blake Elaine; Normann, Randy Allen; Jennings, Jim (University of Texas at Austin, Austin, TX); Gilbert, Bob (University of Texas at Austin, Austin, TX); Lake, Larry W. (University of Texas at Austin, Austin, TX); Weiss, Chester Joseph; Lorenz, John Clay; Elbring, Gregory Jay; Wheeler, Mary Fanett (University of Texas at Austin, Austin, TX); Thomas, Sunil G. (University of Texas at Austin, Austin, TX); Rightley, Michael J.; Rodriguez, Adolfo (University of Texas at Austin, Austin, TX); Klie, Hector (University of Texas at Austin, Austin, TX); Banchs, Rafael (University of Texas at Austin, Austin, TX); Nunez, Emilio J. (University of Texas at Austin, Austin, TX); Jablonowski, Chris (University of Texas at Austin, Austin, TX)
2006-11-01T23:59:59.000Z
The project objective was to detail better ways to assess and exploit intelligent oil and gas field information through improved modeling, sensor technology, and process control to increase ultimate recovery of domestic hydrocarbons. To meet this objective we investigated the use of permanent downhole sensors systems (Smart Wells) whose data is fed real-time into computational reservoir models that are integrated with optimized production control systems. The project utilized a three-pronged approach (1) a value of information analysis to address the economic advantages, (2) reservoir simulation modeling and control optimization to prove the capability, and (3) evaluation of new generation sensor packaging to survive the borehole environment for long periods of time. The Value of Information (VOI) decision tree method was developed and used to assess the economic advantage of using the proposed technology; the VOI demonstrated the increased subsurface resolution through additional sensor data. Our findings show that the VOI studies are a practical means of ascertaining the value associated with a technology, in this case application of sensors to production. The procedure acknowledges the uncertainty in predictions but nevertheless assigns monetary value to the predictions. The best aspect of the procedure is that it builds consensus within interdisciplinary teams The reservoir simulation and modeling aspect of the project was developed to show the capability of exploiting sensor information both for reservoir characterization and to optimize control of the production system. Our findings indicate history matching is improved as more information is added to the objective function, clearly indicating that sensor information can help in reducing the uncertainty associated with reservoir characterization. Additional findings and approaches used are described in detail within the report. The next generation sensors aspect of the project evaluated sensors and packaging survivability issues. Our findings indicate that packaging represents the most significant technical challenge associated with application of sensors in the downhole environment for long periods (5+ years) of time. These issues are described in detail within the report. The impact of successful reservoir monitoring programs and coincident improved reservoir management is measured by the production of additional oil and gas volumes from existing reservoirs, revitalization of nearly depleted reservoirs, possible re-establishment of already abandoned reservoirs, and improved economics for all cases. Smart Well monitoring provides the means to understand how a reservoir process is developing and to provide active reservoir management. At the same time it also provides data for developing high-fidelity simulation models. This work has been a joint effort with Sandia National Laboratories and UT-Austin's Bureau of Economic Geology, Department of Petroleum and Geosystems Engineering, and the Institute of Computational and Engineering Mathematics.
Development of a natural Gas Systems Analysis Model (GSAM)
Godec, M.; Haas, M.; Pepper, W.; Rose, J.
1993-12-31T23:59:59.000Z
Recent dramatic changes in natural gas markets have significant implications for the scope and direction of DOE`s upstream as well as downstream natural gas R&D. Open access transportation changes the way gas is bought and sold. The end of the gas deliverability surplus requires increased reserve development above recent levels. Increased gas demand for power generation and other new uses changes the overall demand picture in terms of volumes, locations and seasonality. DOE`s Natural Gas Strategic Plan requires that its R&D activities be evaluated for their ability to provide adequate supplies of reasonably priced gas. Potential R&D projects are to be evaluated using a full fuel cycle, benefit-cost approach to estimate likely market impact as well as technical success. To assure R&D projects are evaluated on a comparable basis, METC has undertaken the development of a comprehensive natural gas technology evaluation framework. Existing energy systems models lack the level of detail required to estimate the impact of specific upstream natural gas technologies across the known range of geological settings and likely market conditions. Gas Systems Analysis Model (GSAM) research during FY 1993 developed and implemented this comprehensive, consistent natural gas system evaluation framework. Rather than a isolated research activity, however, GSAM represents the integration of many prior and ongoing natural gas research efforts. When complete, it will incorporate the most current resource base description, reservoir modeling, technology characterization and other geologic and engineering aspects developed through recent METC and industry gas R&D programs.
Modeling and Analysis of Natural Gas and Gasoline In A High Compressio...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
and Analysis of Natural Gas and Gasoline In A High Compression Ratio High Efficiency ICRE Modeling and Analysis of Natural Gas and Gasoline In A High Compression Ratio High...
A MultiPhase Power Flow Model for Grid Analysis A. P. Sakis Meliopoulos
A MultiPhase Power Flow Model for µµµµGrid Analysis A. P. Sakis Meliopoulos School of Electrical multiphase power flow analysis method that provides exact solution to the operation of the µGrid under steady
Quantitative Analysis of Variability and Uncertainty in Environmental Data and Models
Frey, H. Christopher
Quantitative Analysis of Variability and Uncertainty in Environmental Data and Models Volume 1 ........................................6 1.3 Is A Probabilistic Analysis Necessary? ................................................................8 1.4 Previous Work in Probabilistic Risk Assessment
Reliability Analysis of Settlement Using an Updated Probabilistic Unified Soil Compression Model
Ambrose, Avery
2012-02-14T23:59:59.000Z
on elastic analysis of soils. To better estimate settlement, a probabilistic estimate that uses a more in depth analysis of the behavior of soil is required. This thesis develops a new probabilistic model for estimating settlement based on a probabilistic...
Structural Equation Modelling for Causal Analysis Applied to Transport Systems
Schlingloff, Holger
barrier (SBA), fault tree (FTA) and failure mode and effect analysis (FMEA) into one method. Our approach Analysis (FTA), Failure Mode and Effect Analysis (FMEA), Event Tree Analysis (ETA) or Safety Barrier]). The probably most familiar methods FTA and FMEA are widely used in industry due to their intuitive
Webinar: DOE Launches JOBS and Economic Impacts of Fuel Cells (JOBS FC) Analysis Model
Broader source: Energy.gov [DOE]
Video recording and text version of the webinar titled, DOE Launches JOBS and Economic Impacts of Fuel Cells (JOBS FC) Analysis Model, originally presented on May 22, 2012.
Computational modeling and analysis of thermoelectric properties of nanoporous silicon
Li, H.; Yu, Y.; Li, G., E-mail: gli@clemson.edu [Department of Mechanical Engineering, Clemson University, Clemson, South Carolina 29634-0921 (United States)
2014-03-28T23:59:59.000Z
In this paper, thermoelectric properties of nanoporous silicon are modeled and studied by using a computational approach. The computational approach combines a quantum non-equilibrium Green's function (NEGF) coupled with the Poisson equation for electrical transport analysis, a phonon Boltzmann transport equation (BTE) for phonon thermal transport analysis and the Wiedemann-Franz law for calculating the electronic thermal conductivity. By solving the NEGF/Poisson equations self-consistently using a finite difference method, the electrical conductivity ? and Seebeck coefficient S of the material are numerically computed. The BTE is solved by using a finite volume method to obtain the phonon thermal conductivity k{sub p} and the Wiedemann-Franz law is used to obtain the electronic thermal conductivity k{sub e}. The figure of merit of nanoporous silicon is calculated by ZT=S{sup 2}?T/(k{sub p}+k{sub e}). The effects of doping density, porosity, temperature, and nanopore size on thermoelectric properties of nanoporous silicon are investigated. It is confirmed that nanoporous silicon has significantly higher thermoelectric energy conversion efficiency than its nonporous counterpart. Specifically, this study shows that, with a n-type doping density of 10{sup 20}?cm{sup –3}, a porosity of 36% and nanopore size of 3 nm ×?3?nm, the figure of merit ZT can reach 0.32 at 600?K. The results also show that the degradation of electrical conductivity of nanoporous Si due to the inclusion of nanopores is compensated by the large reduction in the phonon thermal conductivity and increase of absolute value of the Seebeck coefficient, resulting in a significantly improved ZT.
A BIOENERGETIC MODEL FOR THE ANALYSIS OF FEEDING AND SURVIVAL POTENTIAL OF WINTER FLOUNDER,
A BIOENERGETIC MODEL FOR THE ANALYSIS OF FEEDING AND SURVIVAL POTENTIAL OF WINTER FLOUNDER A bioenergetic model was developed which simulated effects of temperature, prey density, and larval size
The ICF, Inc. coal and electric utilities model : an analysis and evaluation
Wood, David O.
1981-01-01T23:59:59.000Z
v.1. The Electric Power Research Institute (EPRI) is sponsoring a series of evaluations of important energy policy and electric utility industry models by the MIT Energy Model Analysis Program (EMAP). The subject of this ...
Reddy, T. A.; Claridge, D.; Wu, J.
analysis to identify these models. However, such models tend to suffer from physically unreasonable regression coefficients and instability due to the fact that the predictor variables (i.e., climatic parameters, building internal loads, etc...
On a tensor-based finite element model for the analysis of shell structures
Arciniega Aleman, Roman Augusto
2006-04-12T23:59:59.000Z
In the present study, we propose a computational model for the linear and nonlinear analysis of shell structures. We consider a tensor-based finite element formulation which describes the mathematical shell model in a ...
2013 CEF RUN - PHASE 1 DATA ANALYSIS AND MODEL VALIDATION
Choi, A.
2014-05-08T23:59:59.000Z
Phase 1 of the 2013 Cold cap Evaluation Furnace (CEF) test was completed on June 3, 2013 after a 5-day round-the-clock feeding and pouring operation. The main goal of the test was to characterize the CEF off-gas produced from a nitric-formic acid flowsheet feed and confirm whether the CEF platform is capable of producing scalable off-gas data necessary for the revision of the DWPF melter off-gas flammability model; the revised model will be used to define new safety controls on the key operating parameters for the nitric-glycolic acid flowsheet feeds including total organic carbon (TOC). Whether the CEF off-gas data were scalable for the purpose of predicting the potential flammability of the DWPF melter exhaust was determined by comparing the predicted H{sub 2} and CO concentrations using the current DWPF melter off-gas flammability model to those measured during Phase 1; data were deemed scalable if the calculated fractional conversions of TOC-to-H{sub 2} and TOC-to-CO at varying melter vapor space temperatures were found to trend and further bound the respective measured data with some margin of safety. Being scalable thus means that for a given feed chemistry the instantaneous flow rates of H{sub 2} and CO in the DWPF melter exhaust can be estimated with some degree of conservatism by multiplying those of the respective gases from a pilot-scale melter by the feed rate ratio. This report documents the results of the Phase 1 data analysis and the necessary calculations performed to determine the scalability of the CEF off-gas data. A total of six steady state runs were made during Phase 1 under non-bubbled conditions by varying the CEF vapor space temperature from near 700 to below 300°C, as measured in a thermowell (T{sub tw}). At each steady state temperature, the off-gas composition was monitored continuously for two hours using MS, GC, and FTIR in order to track mainly H{sub 2}, CO, CO{sub 2}, NO{sub x}, and organic gases such as CH{sub 4}. The standard deviation of the average vapor space temperature during each steady state ranged from 2 to 6°C; however, those of the measured off-gas data were much larger due to the inherent cold cap instabilities in the slurry-fed melters. In order to predict the off-gas composition at the sampling location downstream of the film cooler, the measured feed composition was charge-reconciled and input into the DWPF melter off-gas flammability model, which was then run under the conditions for each of the six Phase 1 steady states. In doing so, it was necessary to perform an overall heat/mass balance calculation from the melter to the Off-Gas Condensate Tank (OGCT) in order to estimate the rate of air inleakage as well as the true gas temperature in the CEF vapor space (T{sub gas}) during each steady state by taking into account the effects of thermal radiation on the measured temperature (T{sub tw}). The results of Phase 1 data analysis and subsequent model runs showed that the predicted concentrations of H{sub 2} and CO by the DWPF model correctly trended and further bounded the respective measured data in the CEF off-gas by over predicting the TOC-to-H{sub 2} and TOC-to-CO conversion ratios by a factor of 2 to 5; an exception was the 7X over prediction of the latter at T{sub gas} = 371°C but the impact of CO on the off-gas flammability potential is only minor compared to that of H{sub 2}. More importantly, the seemingly-excessive over prediction of the TOC-to-H{sub 2} conversion by a factor of 4 or higher at T{sub gas} < ~350°C was attributed to the conservative antifoam decomposition scheme added recently to the model and therefore is considered a modeling issue and not a design issue. At T{sub gas} > ~350°C, the predicted TOC-to-H{sub 2} conversions were closer to but still higher than the measured data by a factor of 2, which may be regarded as adequate from the safety margin standpoint. The heat/mass balance calculations also showed that the correlation between T{sub tw} and T{sub gas} in the CEF vapor space was close to that of the ˝ scale SGM, whose data were ta
User Defined Data in the New Analysis Model of the BaBar Experiment
De Nardo, G.
2005-04-06T23:59:59.000Z
The BaBar experiment has recently revised its Analysis Model. One of the key ingredient of BaBar new Analysis Model is the support of the capability to add to the Event Store user defined data, which can be the output of complex computations performed at an advanced stage of a physics analysis, and are associated to analysis objects. In order to provide flexibility and extensibility with respect to object types, template generic programming has been adopted. In this way the model is non-intrusive with respect to reconstruction and analysis objects it manages, not requiring changes in their interfaces and implementations. Technological details are hidden as much as possible to the user, providing a simple interface. In this paper we present some of the limitations of the old model and how they are addressed by the new Analysis Model.
None
1996-12-01T23:59:59.000Z
Volume VII of the documentation for the Phase I Data Analysis Task performed in support of the current Regional Flow Model, Transport Model, and Risk Assessment for the Nevada Test Site Underground Test Area Subproject contains the tritium transport model documentation. Because of the size and complexity of the model area, a considerable quantity of data was collected and analyzed in support of the modeling efforts. The data analysis task was consequently broken into eight subtasks, and descriptions of each subtask's activities are contained in one of the eight volumes that comprise the Phase I Data Analysis Documentation.
A MODEL ATMOSPHERE ANALYSIS OF ALPHA AURIGAE A
Fuhrmann, Klaus [Astronomisches Institut, Ruhr-Universitaet Bochum, Universitaetsstrasse 150, D-44780 Bochum (Germany)
2011-11-20T23:59:59.000Z
This work presents the first quantitative composite model atmosphere analysis of Capella, the brightest near-equal-mass spectroscopic binary and principal star of the constellation Auriga. Its high-resolution spectrum leads to a slightly metal-rich object at [Fe/H] = +0.05 {+-} 0.08 dex. In line with its young age and its kinematics, this consistently associates Capella with the Hyades moving group. The measured projected rotational velocities, vsin i{sub Aa} = 3.5 {+-} 0.8 km s{sup -1} and vsin i{sub Ab} = 35.4 {+-} 3.2 km s{sup -1}, both agree with rotational and orbital coplanarity and synchronous orbital rotation for the Aa component. At an orbital period P = 104 d the primary's bound rotation together with the almost zero orbital eccentricity are both key characteristics of this binary and clearly imply that the Aa component must have passed the tip of the giant branch. Whether in that phase Capella also became a mass transfer system remains inconclusive at present, though the high rotational velocity of the less evolved Hertzsprung gap secondary and the very diverse lithium abundances of both its components render this a plausible case.
BIOMECHANICAL ANALYSIS OF TWO SIMPLE DYNAMICAL MODELS FOR THE HUMAN GAIT
Llanos, Diego R.
and expenditure energy for the human body in normal walking models. Both models allow us to adapt a vector the adaptability of the subject to the environment in a reactive way . The high complexity of biomechanical modelsBIOMECHANICAL ANALYSIS OF TWO SIMPLE DYNAMICAL MODELS FOR THE HUMAN GAIT J.Finat1 , F.Montoya2
Skogestad, Sigurd
Sensitivity Analysis of Optimal Operation of an Activated Sludge Process Model for Economic operation conducted on an activated sludge process model based on the test-bed benchmark simulation model no. 1 (BSM1) and the activated sludge model no. 1 (ASM1). The objective is to search for a control
A Quality Based Approach for the Analysis and Design of Business Process Models
Paris-Sud XI, UniversitĂ© de
A Quality Based Approach for the Analysis and Design of Business Process Models Sarah Ayad1 CEDRIC in modeling and improving Business Process (BP) models quality. This problem is of growing interest exploiting domain knowledge. Keywords-component: Business Process Models, Quality metrics, Quality
Free Body Analysis, Beam Mechanics, and Finite Element Modeling of the Mandible of Alligator
Free Body Analysis, Beam Mechanics, and Finite Element Modeling of the Mandible of Alligator arm mechanics, 2D and 3D beam mod- els, and three high-resolution finite element models- pared with the beam models, the Alligator finite element models exhibited less spatial variability
Bürger, Raimund
-dimensional model of sedimentation of suspensions of small solid particles dispersed in a viscous fluid. This model accepted spatially one-dimensional sedimentation model [35] gives rise to one scalar, nonlinear hyperbolicINTERNATIONAL JOURNAL OF c 2011 Institute for Scientific NUMERICAL ANALYSIS AND MODELING Computing
Bürger, Raimund
-dimensional model of sedimentation of suspensions of small solid particles dispersed in a viscous fluid. This model accepted spatially one-dimensional sedimentation model [35] gives rise to one scalar, nonlinear hyperbolicINTERNATIONAL JOURNAL OF c 2012 Institute for Scientific NUMERICAL ANALYSIS AND MODELING Computing
A Pragmatic Business Analysis Model for Telecom Operators
Kwete, Eric Kwete Mwana
2010-05-14T23:59:59.000Z
.................................................................................................................... 36 Expense to Revenue Ratio .................................................................................................................. 36 E/R Calculation... .................................................................................................................................... 39 E/R Implementation Challenges ......................................................................................................... 40 Subscriber Trend Analysis...
Analysis and synthesis of intonation using the tilt model
Taylor, Paul
This paper introduces the Tilt intonational model and describes how this model can be used to automatically analyze and synthesize intonation. In the model, intonation is represented as a linear sequence of events, which ...
Application of Gaussian Process Modeling to Analysis of Functional Unreliability
R. Youngblood
2014-06-01T23:59:59.000Z
This paper applies Gaussian Process (GP) modeling to analysis of the functional unreliability of a “passive system.” GPs have been used widely in many ways [1]. The present application uses a GP for emulation of a system simulation code. Such an emulator can be applied in several distinct ways, discussed below. All applications illustrated in this paper have precedents in the literature; the present paper is an application of GP technology to a problem that was originally analyzed [2] using neural networks (NN), and later [3, 4] by a method called “Alternating Conditional Expectations” (ACE). This exercise enables a multifaceted comparison of both the processes and the results. Given knowledge of the range of possible values of key system variables, one could, in principle, quantify functional unreliability by sampling from their joint probability distribution, and performing a system simulation for each sample to determine whether the function succeeded for that particular setting of the variables. Using previously available system simulation codes, such an approach is generally impractical for a plant-scale problem. It has long been recognized, however, that a well-trained code emulator or surrogate could be used in a sampling process to quantify certain performance metrics, even for plant-scale problems. “Response surfaces” were used for this many years ago. But response surfaces are at their best for smoothly varying functions; in regions of parameter space where key system performance metrics may behave in complex ways, or even exhibit discontinuities, response surfaces are not the best available tool. This consideration was one of several that drove the work in [2]. In the present paper, (1) the original quantification of functional unreliability using NN [2], and later ACE [3], is reprised using GP; (2) additional information provided by the GP about uncertainty in the limit surface, generally unavailable in other representations, is discussed; (3) a simple forensic exercise is performed, analogous to the inverse problem of code calibration, but with an accident management spin: given an observation about containment pressure, what can we say about the system variables? References 1. For an introduction to GPs, see (for example) Gaussian Processes for Machine Learning, C. E. Rasmussen and C. K. I. Williams (MIT, 2006). 2. Reliability Quantification of Advanced Reactor Passive Safety Systems, J. J. Vandenkieboom, PhD Thesis (University of Michigan, 1996). 3. Z. Cui, J. C. Lee, J. J. Vandenkieboom, and R. W. Youngblood, “Unreliability Quantification of a Containment Cooling System through ACE and ANN Algorithms,” Trans. Am. Nucl. Soc. 85, 178 (2001). 4. Risk and Safety Analysis of Nuclear Systems, J. C. Lee and N. J. McCormick (Wiley, 2011). See especially §11.2.4.
Modelling and Analysis of Variable Speed Wind Turbines with Induction Generator during Grid
Hansen, René Rydhof
Modelling and Analysis of Variable Speed Wind Turbines with Induction Generator during Grid Fault to the grid connection of wind turbines. The second chapter elucidates recent thinking in the area of grid Risř National Laboratory Vestas Wind Systems A/S #12;#12;I Modelling and Analysis of Variable Speed
Analysis of the Chatter Instability in a Nonlinear Model for Drilling
Campbell, Sue Ann
Analysis of the Chatter Instability in a Nonlinear Model for Drilling Sue Ann Campbell Department stability analysis of a nonlinear model for chatter vibration in a drilling operation. The results build our, drilling, centre manifold reduction 1 #12;INTRODUCTION INTRODUCTION In a metal cutting operation
Evaluating maintenance policies by quantitative modeling and analysis Enrico Zio1,2,*
Boyer, Edmond
Evaluating maintenance policies by quantitative modeling and analysis Enrico Zio1,2,* , Michele concerning the stochastic crack growth of a generic mechanical component subject to fatigue degradation. It is shown that modeling and analysis provide information useful for setting a maintenance policy. 1
Wavelet Analysis for a New Multiresolution Model for Large-Scale Textured Terrains
Illes Balears, Universitat de les
Wavelet Analysis for a New Multiresolution Model for Large-Scale Textured Terrains MarĂa JosĂ© transmission of both geometry and textures of a terrain model. Wavelet Multiresolution Analysis is applied. An innovative texture synthesis process based on Wavelet classification is used in the reconstruction
Numerical analysis of a one-dimensional elastodynamic model of dry friction and unilateral contact
Renard, Yves - Pôle de Mathématiques, Institut National des Sciences Appliquées de Lyon
.e. hyperbolic) model with dry friction. Since we consider a Coulomb friction law with a slip velocity dependentNumerical analysis of a one-dimensional elastodynamic model of dry friction and unilateral contact in the numerical analysis of more elaborated dynamic purely elastic problems with dry friction. Ó 2001 Elsevier
Driver Models For Timing And Noise Analysis Bogdan Tutuianu and Ross Baldick
Baldick, Ross
additional non-linear circuit simulations and gen- erates re-usable models. Introduction: One of the problems analysis are proposed in [19], [10] and [1]. Special circuit modeling techniques to asses global noise and the analysis is reduced to linear cir- cuit simulation. In the case of delay noise, functional noise
Modeling and Grid impedance Variation Analysis of Parallel Connected Grid Connected Inverter
Bak, Claus Leth
Modeling and Grid impedance Variation Analysis of Parallel Connected Grid Connected Inverter based in the same grid interface conditions by means of impedance-based analysis and modeling. Unlike the single grid connected inverter, it is found that multiple parallel connected inverters and grid impedance can
Macro-System Model for Hydrogen Energy Systems Analysis in Transportation: Preprint
Diakov, V.; Ruth, M.; Sa, T. J.; Goldsby, M. E.
2012-06-01T23:59:59.000Z
The Hydrogen Macro System Model (MSM) is a simulation tool that links existing and emerging hydrogen-related models to perform rapid, cross-cutting analysis. It allows analysis of the economics, primary energy-source requirements, and emissions of hydrogen production and delivery pathways.
Stability and Asymptotic Analysis of a Fluid-Particle Interaction Model
Goudon, Thierry
-particle interaction is of primarily importance in sedimentation analysis of disperse suspen- sions of particlesStability and Asymptotic Analysis of a Fluid-Particle Interaction Model Jos´e A. Carrillo1-mail: Thierry.Goudon@math.univ-lille1.fr Abstract We are interested in coupled microscopic/macroscopic models
MODELING AND ANALYSIS OF THE DYNAMICS OF DRY-FRICTION-DAMPED STRUCTURAL SYSTEMS
Paris-Sud XI, Université de
MODELING AND ANALYSIS OF THE DYNAMICS OF DRY-FRICTION-DAMPED STRUCTURAL SYSTEMS by Olivier J . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.2.1 Nonlinear methods for the analysis of friction-damped systems . . . . . . . . . . . . . . . . . . . . . . . . 15 II. HYBRID FREQUENCY-TIME DOMAIN METHODS FOR THE ANALYSIS OF COMPLEX STRUCTURAL SYSTEMS WITH DRY
Modeling and Analysis of Safety-Critical Cyber Physical Systems using State/Event Fault Trees
Paris-Sud XI, Université de
. Keywords: reliability modeling, risk analysis, attack trees, fault tree, State/Event Fault Tree 1 to their ability to capture qualitative and quantitative analysis aspects they can be seen as state of the art and it is not possible to do a quantitative analysis of them in case of statistical depend basic events. In [6] Kaiser et
Lin, Liwei
Introduction to Finite Element Modeling Engineering analysis of mechanical systems have been of the FEM (don't misuse the FEM - a numerical tool) Finite Element Analysis A typical finite element quantities (e.g., strains and stresses) at selected elements Basic Theory The way finite element analysis
Probabilistic finite element analysis of a craniofacial finite element model Michael A. Berthaume a s t r a c t We employed a probabilistic finite element analysis (FEA) method to determine how 2011 Accepted 18 January 2012 Available online 27 January 2012 Keywords: Probabilistic analysis Finite
A network-based modeling framework for stakeholder analysis of China's energy conservation campaign
de Weck, Olivier L.
A network-based modeling framework for stakeholder analysis of China's energy conservation campaign Available online 13 July 2011 Keywords: Energy conservation Policy-making Stakeholder analysis Network, the stakeholder analysis of China's energy conservation campaign still has been under-developed. This paper
A Revised Shear-Lag Analysis of an Energy Model for Fiber-Matrix Debonding
Nairn, John A.
A Revised Shear-Lag Analysis of an Energy Model for Fiber-Matrix Debonding John A. Nairn and H-lag analysis based on energy is used to predict the amount of debonding that occurs when a fiber fragment since Ref. [1]. First, some general tools for energy analysis of fragmentation specimens have been
Analysis of SX farm leak histories -- Historical leak model (HLM)
Fredenburg, E.A.
1998-08-20T23:59:59.000Z
This report uses readily available historical information to better define the volume, chemical composition, and Cs-137/Sr-90 amounts for leaks that have occurred in the past for tanks SX-108, SX-109, SX-111, and SX-112. In particular a Historical Leak Model (HLM) is developed that is a month by month reconciliation of tank levels, fill records, and calculated boil-off rates for these tanks. The HLM analysis is an independent leak estimate that reconstructs the tank thermal histories thereby deriving each tank`s evaporative volume loss and by difference, its unaccounted losses as well. The HLM analysis was meant to demonstrate the viability of its approach, not necessarily to establish the HLM leak estimates as being definitive. Past leak estimates for these tanks have invariably resorted to soil wetting arguments but the extent of soil contaminated by each leak has always been highly uncertain. There is also a great deal of uncertainty with the HLM that was not quantified in this report, but will be addressed later. These four tanks (among others) were used from 1956 to 1975 for storage of high-level waste from the Redox process at Hanford. During their operation, tank waste temperatures were often as high as 150 C (300 F), but were more typically around 130 C. The primary tank cooling was by evaporation of tank waste and therefore periodic replacement of lost volume with water was necessary to maintain each tank`s inventory. This active reflux of waste resulted in very substantial turnovers in tank inventory as well as significant structural degradation of these tanks. As a result of the loss of structural integrity, each of these tanks leaked during their active periods of operation. Unfortunately, the large turnover in tank volume associated with their reflux cooling has made a determination of leak volumes very difficult. During much of these tanks operational histories, inventory losses because of evaporative cooling could have effectively masked any volume loss due to leak. However, careful comparison with reported tank levels during certain periods clearly show unaccounted volume losses for many tanks. As a result of the HLM analysis, SX-108, SX-109, SX-111, and SX-112 all show clear evidence of unaccounted volume losses during the period 1958 to 1975. Likewise, the HLM does not show similar unaccounted volume losses for tank SX-105, a tank with no reported leak history, verifying that the HLM is consistent with SX-105 not leaking. These unaccounted volume losses establish the leak start date and rate, and when propagated over time show that SX-108 lost 203 kgal followed by SX-109 at 111. SX-111 at 55, and SX-112 at 44 kgal.0664 These leak volumes represent maximum or upper bounds estimates of each leak and are in total volume about six times the previous leak estimates.
C. AMMERMAN; J. BERNARDIN
1999-11-01T23:59:59.000Z
This report presents results for design and analysis of the hot model water cooling system for the Spallation Neutron Source (SNS) coupled-cavity linac (CCL). The hot model, when completed, will include segments for both the CCL and coupled-cavity drift-tube linac (CCDTL). The scope of this report encompasses the modeling effort for the CCL portion of the hot model. This modeling effort employed the SINDA/FLUINT network modeling tool. This report begins with an introduction of the SNS hot model and network modeling using SINDA/FLUINT. Next, the development and operation of the SINDA/FLUINT model are discussed. Finally, the results of the SINDA/FLUINT modeling effort are presented and discussed.
ACTINIDE REMOVAL PROCESS SAMPLE ANALYSIS, CHEMICAL MODELING, AND FILTRATION EVALUATION
Martino, C.; Herman, D.; Pike, J.; Peters, T.
2014-06-05T23:59:59.000Z
Filtration within the Actinide Removal Process (ARP) currently limits the throughput in interim salt processing at the Savannah River Site. In this process, batches of salt solution with Monosodium Titanate (MST) sorbent are concentrated by crossflow filtration. The filtrate is subsequently processed to remove cesium in the Modular Caustic Side Solvent Extraction Unit (MCU) followed by disposal in saltstone grout. The concentrated MST slurry is washed and sent to the Defense Waste Processing Facility (DWPF) for vitrification. During recent ARP processing, there has been a degradation of filter performance manifested as the inability to maintain high filtrate flux throughout a multi-batch cycle. The objectives of this effort were to characterize the feed streams, to determine if solids (in addition to MST) are precipitating and causing the degraded performance of the filters, and to assess the particle size and rheological data to address potential filtration impacts. Equilibrium modelling with OLI Analyzer{sup TM} and OLI ESP{sup TM} was performed to determine chemical components at risk of precipitation and to simulate the ARP process. The performance of ARP filtration was evaluated to review potential causes of the observed filter behavior. Task activities for this study included extensive physical and chemical analysis of samples from the Late Wash Pump Tank (LWPT) and the Late Wash Hold Tank (LWHT) within ARP as well as samples of the tank farm feed from Tank 49H. The samples from the LWPT and LWHT were obtained from several stages of processing of Salt Batch 6D, Cycle 6, Batch 16.
analysis model dam: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Medical Image Analysis Erik B. Dam Biology and Medicine Websites Summary: - mentation program, the possible performance improvement due to non-linear diffusion is not unlimited,...
Parallel and Statistical Analysis and Modeling of Nanometer VLSI Systems
Liu, Xue-Xin
2013-01-01T23:59:59.000Z
layers. Advanced cooling techniques such as integratedtraditional fan-based cooling techniques are not sufficientcooling problems. Fast and accurate thermal analysis techniques
Economics definitions, methods, models, and analysis procedures for Homeland Security applications.
Ehlen, Mark Andrew; Loose, Verne William; Vargas, Vanessa N.; Smith, Braeton J.; Warren, Drake E.; Downes, Paula Sue; Eidson, Eric D.; Mackey, Greg Edward
2010-01-01T23:59:59.000Z
This report gives an overview of the types of economic methodologies and models used by Sandia economists in their consequence analysis work for the National Infrastructure Simulation&Analysis Center and other DHS programs. It describes the three primary resolutions at which analysis is conducted (microeconomic, mesoeconomic, and macroeconomic), the tools used at these three levels (from data analysis to internally developed and publicly available tools), and how they are used individually and in concert with each other and other infrastructure tools.
Modeling control room crews for accident sequence analysis
Huang, Y. (Yuhao)
1991-01-01T23:59:59.000Z
This report describes a systems-based operating crew model designed to simulate the behavior of an nuclear power plant control room crew during an accident scenario. This model can lead to an improved treatment of potential ...
Modeling, Analysis, and Control of Demand Response Resources
Mathieu, Johanna L.
2013-01-01T23:59:59.000Z
Modeling and control of aggregated heterogeneous thermostatically controlled loads for ancillary services”. In: Proceedings of the Power SystemsModeling and control of thermostatically controlled loads”. In: Pro- ceedings of 17 th Power Systems
Modeling, Analysis, and Control of Demand Response Resources
Mathieu, Johanna L.
2012-01-01T23:59:59.000Z
Modeling and control of aggregated heterogeneous thermostatically controlled loads for ancillary services”. In: Proceedings of the Power SystemsModeling and control of thermostatically controlled loads”. In: Pro- ceedings of 17 th Power Systems
Cordis Anima Physical Modeling and Simulation System Analysis
Kouroupetroglou, Georgios
internal descriptions, finite difference model, modal decomposition, electrical analogous circuits, CA equation [3] the modal approach where the vibrating structure is represented through a series physical modeling techniques. Vibrating structures like all kind of elastic bodies, strings, membranes
Modeling aviation's global emissions, uncertainty analysis, and applications to policy
Lee, Joosung Joseph, 1974-
2005-01-01T23:59:59.000Z
(cont.) fuel burn results below 3000 ft. For emissions, the emissions indices were the most influential uncertainties for the variance in model outputs. By employing the model, this thesis examined three policy options for ...
From Whiteboard to Model: A Preliminary Analysis Praveen Paritosh1
Forbus, Kenneth D.
such as the migration of killer bees and the efficacy of carbon sequestration. Unlike theories, models describe specific
Analysis Model for Domestic Hot Water Distribution Systems: Preprint
Maguire, J.; Krarti, M.; Fang, X.
2011-11-01T23:59:59.000Z
A thermal model was developed to estimate the energy losses from prototypical domestic hot water (DHW) distribution systems for homes. The developed model, using the TRNSYS simulation software, allows researchers and designers to better evaluate the performance of hot water distribution systems in homes. Modeling results were compared with past experimental study results and showed good agreement.
Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models
Subramanian, Venkat
Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models and characterize capacity fade in lithium-ion batteries. As a comple- ment to approaches to mathematically model been made in developing lithium-ion battery models that incor- porate transport phenomena
On the Formal Analysis of a Spatio-Temporal Role-Based Access Control Model
Ray, Indrakshi
On the Formal Analysis of a Spatio-Temporal Role-Based Access Control Model Manachai Toahchoodee. For crit- ical applications, a model for spatio-temporal-based access control is needed that increases. Consequently, researchers have proposed various spatio-temporal access control models that are useful
Modeling and Analysis of Stage Machinery Control Systems by Timed Colored Petri Nets
Paris-Sud XI, Université de
Modeling and Analysis of Stage Machinery Control Systems by Timed Colored Petri Nets Hehua Zhang, is critical to the correctness of a system. Petri nets (PN) have been proven to be a powerful modeling tool Nets (TCPN) are proposed to model and analyze a PLC-based stage machinery control system1
Modelling, Reduction and Analysis of Markov Automata Dennis Guck1,3
Vellekoop, Michel
Hermanns2 , Joost-Pieter Katoen1,3 and Mark Timmer3 1 Software Modelling and Verification, RWTH Aachen power has thus far precluded them from effective analysis by probabilistic (and statisti- cal) model can thus model action transitions as in labelled transition systems, probabilistic branching, as well
Paris-Sud XI, UniversitĂ© de
with statistical analysis Anthony Ung, Laure Malherbe, Frederik Meleux, Bertrand Bessagnet, Laurence Rouil and MACCII modeling team INERIS institut, Paris, France Corresponding author: Anthony.ung@ineris.fr Abstract/QC dossiers and available on the MACC project website for each model. All models have also very significant
Comments on the use of computer models for merger analysis in the electricity industry
California at Berkeley. University of
that the commission is considering, electricity market models, production cost/optimal power flow models, and hybridsComments on the use of computer models for merger analysis in the electricity industry FERC Docket for market power in electricity markets. These analyses have yielded several insights about the application
Gosavi, Abhijit
Pollution Control in a Manufacturing System Stochastic Models for Analysis and Control of Air Pollution in a Manufacturing System Jan, 1, 2005 Technical Report SOPTL-05-01 Missouri University of Science models that can be used for controlling pollution in a manufacturing system. The models are developed
Model Order Reductions for Stability Analysis of Islanded Microgrids with Droop Control
Vasquez, Juan Carlos
the validity of the proposed models. Index Terms--Droop control, microgrids, power systems stability, power systems modeling. I. INTRODUCTION Microgrids consist of interconnected distributed storages and energy1 Model Order Reductions for Stability Analysis of Islanded Microgrids with Droop Control V
Jitter Analysis: The dual-Dirac Model, RJ/DJ, and Q-Scale
Palermo, Sam
Jitter Analysis: The dual-Dirac Model, RJ/DJ, and Q-Scale White Paper #12;The dual-Dirac model is a tool for quickly estimating total jitter defined at a low bit error ratio, TJ(BER). The deterministic and random subcomponents of the jitter signal are separated within the context of the model to yield two
Current-based 4D shape analysis for the mechanical personalization of heart models
Paris-Sud XI, Université de
Current-based 4D shape analysis for the mechanical personalization of heart models Lo¨ic Le Folgoc1. Abstract. Patient-specific models of the heart may lead to better understanding of cardiovascular diseases-mechanical model of the heart, from the kinematics of the endo- and epicardium, is presented in this paper. We use
ARTICLE Communicatedby JohnRime1 Analysis of Neuron Models with
Columbia University
ARTICLE Communicatedby JohnRime1 Analysis of Neuron Models with Dynamically Regulated ConductancesSystems, Brandeis University, Waltham,MA 02254 USA We analyze neuron models in which the maximal conductances and modify membrane channels in real neurons. Regulated model neurons maintain a constant averagelevel
Numerical analysis of a model for Nickel-Iron alloy electrodeposition on rotating disk
Paris-Sud XI, Université de
Numerical analysis of a model for Nickel-Iron alloy electrodeposition on rotating disk electrode N the nickel-iron electrodeposition process, we have developed one-dimensional numerical model. This model ad can predict characteristic features of the nickel-iron sys- tem. this work was supported
Styles, Vanessa
Finite element analysis of a current density - electric #12;eld formulation of Bean's model a current density-electric #12;eld formulation of Bean's model for the experimental set-up of a in#12;nitely. As observed by Bossavit, [4], Bean's critical state model can be formulated as a degenerate Stefan problem
Global horizontal irradiance clear sky models : implementation and analysis.
Stein, Joshua S.; Hansen, Clifford W.; Reno, Matthew J.
2012-03-01T23:59:59.000Z
Clear sky models estimate the terrestrial solar radiation under a cloudless sky as a function of the solar elevation angle, site altitude, aerosol concentration, water vapor, and various atmospheric conditions. This report provides an overview of a number of global horizontal irradiance (GHI) clear sky models from very simple to complex. Validation of clear-sky models requires comparison of model results to measured irradiance during clear-sky periods. To facilitate validation, we present a new algorithm for automatically identifying clear-sky periods in a time series of GHI measurements. We evaluate the performance of selected clear-sky models using measured data from 30 different sites, totaling about 300 site-years of data. We analyze the variation of these errors across time and location. In terms of error averaged over all locations and times, we found that complex models that correctly account for all the atmospheric parameters are slightly more accurate than other models, but, primarily at low elevations, comparable accuracy can be obtained from some simpler models. However, simpler models often exhibit errors that vary with time of day and season, whereas the errors for complex models vary less over time.
Modeling, Analysis, and Control of Demand Response Resources
Mathieu, Johanna L.
2012-01-01T23:59:59.000Z
E.2 Heat pumps . . E.3 Water heaters . parameters v E.4analysis for residential water heater efficiency standards.An evaluation of the water heater load potential for
CARMEN [Code, Analysis, Repository & Modelling for e-Neuroscience]
Pryor, Graham
The CARMEN pilot project seeks to create a virtual laboratory for experimental neurophysiology, enabling the sharing and collaborative exploitation of data, analysis code and expertise. This study by the DCC contributes ...
Distributed lyapunov functions in analysis of graph models of software
Roozbehani, Mardavij
In previous works, the authors introduced a framework for software analysis, which is based on optimization of Lyapunov invariants. These invariants prove critical software properties such as absence of overflow and ...
Modeling Analysis of Biosparging at the Sanitary Landfill
Jackson, D.
1998-11-25T23:59:59.000Z
This report presents the results of a groundwater modeling study that evaluates the performance of the biosparging system at the Sanitary Landfill.
analysis divergent models: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
from a Gibbs family known as hierarchical model. We derive these quantities from the maximum-entropy principle which was used earlier to define the closely related irreducible...
Analysis of mathematical models of underground coal gasification
Fausett, L.V.
1984-01-01T23:59:59.000Z
Results are reported of a survey and comparison of forward combustion underground coal gasification (UCG) models that are available in the public domain. The six models obtained for study were mathematically analyzed to determine their conceptual completeness and computational complexity. The computer code for each model was implemented on the University of Wyoming CDC CYBER 730/760 computer system. Computed analyses were made with each of the programs using data to simulate six representative UCG field tests. Four of the field tests were air injection experiments and two were oxygen/steam. Modifications were necessary to two models in order for them to simulate oxygen/steam injection experiments. A mistake in the computer code for one model was discovered and corrected; this enabled the code to execute with data from one field test for which the original version had failed. An alternate numerical solution technique for one mdoel was studied, and improved correlations for the model were developed. An approximate analytical solution to the model was obtained that is valid over the region where difficulties were encountered, using both multiple shooting and collocation numerical solutions. The applicability of each model to the various conditions occurring in the different field tests was determined.
The SROV program for data analysis and regression model identification
Brauner, Neima
) regression models comprised of linear combination of independent variables and their non-linear functions. # 2002 Elsevier Science Ltd. All rights reserved. Keywords: Stepwise regression; Colinearity; Non have been intro- duced for selection of the optimal model in linear regression (for detailed reviews
Analysis of forward combustion underground coal gasification models
Fausett, L.K.; Fausett, D.W.
1984-01-01T23:59:59.000Z
A survey has been made of forward combustion gasification models that are available in the public domain. The six models obtained for study have been mathematically analyzed to determine their conceptual completeness and computational complexity. The models range in scope of generality from a simple constrained mass balance model to a two-dimensional unsteady-state model. The computer code for each model has been implemented on the University of Wyoming CDC CYBER 730/760 computer system. Computed analyses with each of the programs are compared using data (taken primarily from the Lawrence Livermore National Laboratory (LLNL) Underground Coal Gasification (UCG) Data Base) corresponding to six representative DOE sponsored field experiments at Hanna, Hoe Creek, Rawlins, and Pricetown. Four of the field tests were air injection experiments and two were oxygen/steam injection experiments. This study provides a direct comparison of input data requirements and computer resource requirements of the six computer codes. It furnishes an indication of the applicability of each model to the various operating conditions in the different field tests. Computational capabilities and limitations of each model are discussed in detail. 20 references, 47 figures, 13 tables.
Transport Analysis of Trace Tritium Experiments on JET using TRANSP Code and Comparison with Theory-Based Transport Models
A three-phase converter model for harmonic analysis of HVDC systems
Xu, W.; Drakos, J.E.; Mansour, Y.; Chang, A. (B.C. Hydro, Burnaby, British Columbia (Canada))
1994-07-01T23:59:59.000Z
An equivalent circuit model is presented to model bridge converters for three-phase HVDC harmonic power flow analysis. The validity and accuracy of the model are verified by comparing simulation results against field test results. The model is interfaced with a multiphase harmonic load flow program to investigate the generation of non-characteristic harmonics from HVDC links and the flow of HVDC harmonics in a real system.
A Micromechanical Model for Viscoelastic-Viscoplastic Analysis of Particle Reinforced Composite
Kim, Jeong Sik
2011-02-22T23:59:59.000Z
This study introduces a time-dependent micromechanical model for a viscoelastic-viscoplastic analysis of particle-reinforced composite and hybrid composite. The studied particle-reinforced composite consists of solid spherical particle and polymer...
Production Economics Modeling and Analysis of Polluting firms: The Production Frontier Approach
Mekaroonreung, Maethee
2012-10-19T23:59:59.000Z
As concern grows about energy and environment issues, energy and environmental modeling and related policy analysis are critical issues for today's society. Polluting firms such as coal power plants play an important role in providing electricity...
Webster, Mort David.; Tatang, Menner A.; McRae, Gregory J.
This paper presents the probabilistic collocation method as a computationally efficient method for performing uncertainty analysis on large complex models such as those used in global climate change research. The collocation ...
Shi, Z.; Thomey, M. L.; Mowll, W.; Litvak, M.; Brunsell, Nathaniel A.; Collins, S. L.; Pockman, W. T.; Smith, M. D.; Knapp, A. K.; Luo, Y.
2014-02-04T23:59:59.000Z
Extremes in climate may severely impact ecosystem structure and function, with both the magnitude and rate of response differing among ecosystem types and processes. We conducted a modeling analysis of the effects of extreme ...
The bootstrap multiscale analysis for the multi-particle Anderson model
Abel Klein; Son T. Nguyen
2012-12-22T23:59:59.000Z
We extend the bootstrap multi-scale analysis developed by Germinet and Klein to the multi-particle Anderson model, obtaining Anderson localization, dynamical localization, and decay of eigenfunction correlations.
A microscopically motivated constitutive model for shape memory alloys: formulation, analysis
Rheinisch-Westfälische Technische Hochschule Aachen (RWTH)
A microscopically motivated constitutive model for shape memory alloys: formulation, analysisTi polycrystalline shape memory alloys exhibiting transformations between three solid phases (austenite, R presented. 1 Introduction Shape memory alloys (SMA) are metallic materials exhibiting remarkable properties
Open source software maturity model based on linear regression and Bayesian analysis
Zhang, Dongmin
2009-05-15T23:59:59.000Z
based on Bayesian statistics. More importantly, an updating rule is established through Bayesian analysis to improve the joint distribution, and thus the objectivity of the coefficients in the linear multiple-regression model, according to new incoming...
Reliable Phase Stability Analysis for Asymmetric Models , William D. Haynes2*
Stadtherr, Mark A.
; Interval analysis; Validated computing; Equation of state; NRTL. * Current address: NFS Inc., 1205 Banner several examples, involving as many as eight components, with NRTL as the liquid phase model and a cubic
A Micromechanical Model for Viscoelastic-Viscoplastic Analysis of Particle Reinforced Composite
Kim, Jeong Sik
2011-02-22T23:59:59.000Z
This study introduces a time-dependent micromechanical model for a viscoelastic-viscoplastic analysis of particle-reinforced composite and hybrid composite. The studied particle-reinforced composite consists of solid spherical particle and polymer...
Stochastic Modeling and Analysis of Pathway Regulation and Dynamics
Zhao, Chen
2012-07-16T23:59:59.000Z
To effectively understand and treat complex diseases such as cancer, mathematical and statistical modeling is essential if one wants to represent and characterize the interactions among the different regulatory components that govern the underlying...
Computer Modeling of Violent Intent: A Content Analysis Approach
Sanfilippo, Antonio P.; Mcgrath, Liam R.; Bell, Eric B.
2014-01-03T23:59:59.000Z
We present a computational approach to modeling the intent of a communication source representing a group or an individual to engage in violent behavior. Our aim is to identify and rank aspects of radical rhetoric that are endogenously related to violent intent to predict the potential for violence as encoded in written or spoken language. We use correlations between contentious rhetoric and the propensity for violent behavior found in documents from radical terrorist and non-terrorist groups and individuals to train and evaluate models of violent intent. We then apply these models to unseen instances of linguistic behavior to detect signs of contention that have a positive correlation with violent intent factors. Of particular interest is the application of violent intent models to social media, such as Twitter, that have proved to serve as effective channels in furthering sociopolitical change.
Bayesian Modeling and Analysis for Gradients in Spatiotemporal Processes
Quick, Harrison; Banerjee, Sudipto; Carlin, Bradley P.
2015-01-01T23:59:59.000Z
form for total air pollution measurements. Computationalanalysis of the California air pollution data, supplying theair quality warnings, public health officials rely on statistical models to predict each day’s pollution
Analysis of Attic Radiant Barrier Systems Using Mathematical Models
Fairey, P.; Swami, M.
1988-01-01T23:59:59.000Z
During the past six years, the Florida Solar Energy Center (FSEC) has conducted extensive experimental research on radiant barrier systems (RBS). This paper presents recent research on the development of mathematical attic models. Two levels...
An Analysis of TRL-Based Cost and Schedule Models
Kenley, C. Robert
2012-04-30T23:59:59.000Z
The GAO's, NASA's, and the DoD's adoption of the technology readiness level (TRL) scale to improve technology management has led to the emergence of many TRL-based models that are used to monitor technology maturation, ...
Image-Driven Population Analysis Through Mixture Modeling
Shenton, Martha E.
We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The output of the algorithm is a small number of template ...
Application of Bayesian Hierarchical Models in Genetic Data Analysis
Zhang, Lin
2012-08-15T23:59:59.000Z
expression levels follow a Gaussian distribution. We derive the gene network structures by selecting covariance matrices of the Gaussian distribution with a hyper-inverse Wishart prior. We incorporate prior network models based on Gene Ontology information...
Analysis of Attic Radiant Barrier Systems Using Mathematical Models
Fairey, P.; Swami, M.
1988-01-01T23:59:59.000Z
During the past six years, the Florida Solar Energy Center (FSEC) has conducted extensive experimental research on radiant barrier systems (RBS). This paper presents recent research on the development of mathematical attic models. Two levels...
Productivity prediction model based on Bayesian analysis and productivity console
Yun, Seok Jun
2005-08-29T23:59:59.000Z
in poor planning and defies effective control of time and budgets in project management. In this research, we have built a productivity prediction model which uses productivity data from an ongoing project to reevaluate the initial productivity estimate...
Analysis of WACSIS data using a directional hybrid wave model
Zhang, Shaosong
2007-04-25T23:59:59.000Z
.5 WACSIS Data Analysis ...................................................................102 6.5.1 Data Sets Recorded By the Directional Waverider Buoy .......105 6.5.2 Estimation Based On the PUV................................................108 6... (before shifted)..................................................31 4.2 Time series of pressure and Vx (after shifted).....................................................32 4.3 Power spectrum of pressure...
Robust Efficient Frontier Analysis with a Separable Uncertainty Model
2007-11-29T23:59:59.000Z
We consider MV analysis with n risky assets held over a period of time. ..... since it is the pointwise infimum of a family of linear functions. ...... for Circuit & System Solutions award 2003-CT-888, by JPL award I291856, by the Precourt. Institute ...
Mixture Modeling and Outlier Detection in Microarray Data Analysis
George, Nysia I.
2010-01-16T23:59:59.000Z
of replication in gene expression data (Nguyen et al., 2002). In order to assess the agreement between measurements from microarray data collected from the same subject we use the intraclass correlation coe?cient as a reliability index (Carrasco and Jover, 2002...-modeling in bioinformatic research is not new. Researchers have devoted much attention to methodology that can appropriately separate gene expressions into meaningful groups. Allison et al. (2002) and Ji et al. (2005) use beta-mixture modeling to describe distributional...
Simulation modeling and analysis of glued-laminated timber beams
Hernandez, Roland
1991-01-01T23:59:59.000Z
secondary objective of this research was to develop regression models to predict 2-foot static MOE and tensile strength values of the laminating lumber as functions of the MOE values obtained from a continuous lumber tester (CLT). The purpose... for this approach was to characterize the input lumber distribution parameters needed by PROLAM using data that are easily measured at the lumber mills. The 2-foot static MOE and tensile strength distributions simulated with the regression models compared well...
Thermomechanics of hydrogen storage in metallic hydrides: modeling and analysis
Tomas Roubicek; Giuseppe Tomassetti
2013-09-12T23:59:59.000Z
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.
Design theoretic analysis of three system modeling frameworks.
McDonald, Michael James
2007-05-01T23:59:59.000Z
This paper analyzes three simulation architectures from the context of modeling scalability to address System of System (SoS) and Complex System problems. The paper first provides an overview of the SoS problem domain and reviews past work in analyzing model and general system complexity issues. It then identifies and explores the issues of vertical and horizontal integration as well as coupling and hierarchical decomposition as the system characteristics and metrics against which the tools are evaluated. In addition, it applies Nam Suh's Axiomatic Design theory as a construct for understanding coupling and its relationship to system feasibility. Next it describes the application of MATLAB, Swarm, and Umbra (three modeling and simulation approaches) to modeling swarms of Unmanned Flying Vehicle (UAV) agents in relation to the chosen characteristics and metrics. Finally, it draws general conclusions for analyzing model architectures that go beyond those analyzed. In particular, it identifies decomposition along phenomena of interaction and modular system composition as enabling features for modeling large heterogeneous complex systems.
Modeling for Seasonal Marked Point Processes: An Analysis of Evolving Hurricane Occurrences
Kottas, Athanasios
Modeling for Seasonal Marked Point Processes: An Analysis of Evolving Hurricane Occurrences Sai and for the conditional mark distribution. The motivating application involves the analysis of hurricane landfalls the evolution of the intensity of the process of hurricane landfall occurrences, and the respective maximum wind
An analysis of humor orientation on Facebook: A lens model approach
Pennington, Natalie; Hall, Jeffrey A.
2014-02-01T23:59:59.000Z
This article presents the results of a mixed method analysis of the use and perception of humor orientation (HO) on Facebook (FB) profiles (N?=?100). Results of the lens model analysis suggest that a variety of profile cues, not just those directly...
Modeling and Analysis of Energy Harvesting Nodes in Wireless Sensor Networks
Sikdar, Biplab
, the probability of event loss due to energy run out as well as an analytical vulnerability metric, namely average state as well as the remaining energy supply of the node, we provide an analysis of the Loss ProbabilityModeling and Analysis of Energy Harvesting Nodes in Wireless Sensor Networks Alireza Seyedi
Computable General Equilibrium Models for the Analysis of Energy and Climate Policies
Wing, Ian Sue
Computable General Equilibrium Models for the Analysis of Energy and Climate Policies Ian Sue Wing of energy and environmental policies. Perhaps the most important of these applications is the analysis Change, MIT Prepared for the International Handbook of Energy Economics Abstract This chapter is a simple
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
Mosegaard, Klaus
Application of Uncertainty and Sensitivity Analysis to a Kinetic Model for Enzymatic Biodiesel benefits of using uncertainty and sensitivity analysis in the kinetics of enzymatic biodiesel production, Monte-Carlo Simulations, Enzymatic Biodiesel 1. INTRODUCTION In order to determine the optimal
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
Models and Analysis of Wire Explosions Using TRAC II Simulations
Pekker, A.; Reisman, D.B.
1999-09-10T23:59:59.000Z
In order to understand the dynamics of Z-pinch imposions of thin wires in pulse-power accelerators, it is necessary to understand the physical process by which the initially solid wires are converted into plasma by rising current. For this purpose, we model wire explosions using TRAC II, a two-dimensional MHD code, in three distinct cases: pure tungsten, impure tungsten, and gold-plated tungsten. We compare our results--overall picture of the process, corona linear density, corona mass, and core expansion rate--to actual experiments performed at Sandia National Laboratory and Cornell University and present some explanations for the disagreements between our model and experimental observations. In Chapter 1, we discuss model results for several current waveforms (consisting of a 5 kA 50-150 ns pre-pulse and 80 kA 80 ns main pulse) for a pure tungsten wire, showing that the initial temperature of the wire does not affect the dynamics of the explosion. This suggests that different experimental results for unheated and preheated tungsten wires are due to the expulsion of impurities in the preheated wire and not to a change in the material properties of tungsten. To match the experimental set-up more accurately, we model the explosion of a tungsten wire with impurities in Chapter 2. The overall process predicted by the model agrees with experiment, namely the shunting of the current through the impurities region before tungsten expansion begins; however, quantitative results disagree with experimental observations mostly because of the extreme shunting of the current through the impurities in our model. Finally, in Chapter 3, we compare the explosions in gold-plated tungsten, pure tungsten, and pure gold wires under high (100 kA in 60 ns) and low (2 kA in 270 ns) currents, finding general agreement with experiment in the high-current case and a disagreement by a factor of ten in the low-current case. In addition, due to the similar properties of the two metals, we find no vast differences among the three cases in the high-current case, while the single-metal wire expand faster and farther than the gold-plated wire in the low-current case. We believe that the disagreement between our model and experiment can be decreased by better modeling of tungsten impurities and by improvements in the conductivity and bonding models.
NREL's System Advisor Model Simplifies Complex Energy Analysis (Fact Sheet)
Not Available
2011-10-01T23:59:59.000Z
The energy market is diversifying. In addition to traditional power sources, decision makers can choose among solar, wind, and geothermal technologies as well. Each of these technologies has complex performance characteristics and economics that vary with location and other project specifics, making it difficult to analyze the viability of such projects. But that analysis is easier now, thanks to the National Renewable Energy Laboratory (NREL).
Structural Modeling and Analysis of Structures in Aorta Images
Xu, Hai
2012-10-19T23:59:59.000Z
). ........................ 10 Figure 4. A synthetic binary image consisting of five sinusoidal curves was used to verify the accuracy of my Radon Transform (RT) algorithm. ............ 14 Figure 5. Computed angle for the principal (circumferential) direction estimated...) thickness across the arterial wall. In this dissertation, I propose an image analysis scheme to delineate spatial patterns of EL such as changes in its thickness across the arterial wall. Key features of my scheme include: 1) a Radon Transform based...
CIMS: A FRAMEWORK FOR INFRASTRUCTURE INTERDEPENDENCY MODELING AND ANALYSIS
Donald D. Dudenhoeffer; May R. Permann; Milos Manic
2006-12-01T23:59:59.000Z
Today’s society relies greatly upon an array of complex national and international infrastructure networks such as transportation, utilities, telecommunication, and even financial networks. While modeling and simulation tools have provided insight into the behavior of individual infrastructure networks, a far less understood area is that of the interrelationships among multiple infrastructure networks including the potential cascading effects that may result due to these interdependencies. This paper first describes infrastructure interdependencies as well as presenting a formalization of interdependency types. Next the paper describes a modeling and simulation framework called CIMS© and the work that is being conducted at the Idaho National Laboratory (INL) to model and simulate infrastructure interdependencies and the complex behaviors that can result.
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
1st International Conference on Machine Control & Guidance 2008 1 Generation and Analysis of Digital Terrain Models with Parallel Guidance Systems for Precision Agriculture Görres GRENZDÖRFFER models at no or little additional cost. In the paper the achievable data accuracy under different
1 Bayesian Analysis of a Reduced-Form Air Quality Model 2 Kristen M Foley,*,
Reich, Brian J.
1 Bayesian Analysis of a Reduced-Form Air Quality Model 2 Kristen M Foley,*, Brian J. Reich, North Carolina, United States 5 *S Supporting Information 6 ABSTRACT: Numerical air quality models are being used for assessing emission control 7 strategies for improving ambient pollution levels across
Modeling and Analysis of Hybrid Converters Michael Evzelman Shmuel (Sam) Ben-Yaakov
the characteristics of hybrid converters. Renewable energy sources such as a single PV panel have, in general, a lowModeling and Analysis of Hybrid Converters Michael Evzelman Shmuel (Sam) Ben-Yaakov Power.ee.bgu.ac.il/~pel/ Abstract--A generic behavioral average-circuit model that analyzes hybrid converters that include
Phase Field Dynamic Modelling of Shape Memory Alloys Based on Isogeometric Analysis
Gomez, Hector
Phase Field Dynamic Modelling of Shape Memory Alloys Based on Isogeometric Analysis Rakesh Dhote1 transformations, phase-field model, Ginzburg-Landau theory, nonlinear thermo-elasticity. Abstract. Shape Memory. Introduction Shape Memory Alloys have attracted considerable attention of physicists, engineers and mathemati
Modeling and Analysis of Energy Harvesting Nodes in Body Sensor Networks
Sikdar, Biplab
, or that the energy supply is monotonically decreasing with a fixed initial value. Since energy harvesting sensors canModeling and Analysis of Energy Harvesting Nodes in Body Sensor Networks Alireza Seyedi Department@ecse.rpi.edu Abstract--A Markov based unified model for an energy har- vesting node in a body sensor network
FOUNDATION, ANALYSIS, AND NUMERICAL INVESTIGATION OF A VARIATIONAL NETWORK-BASED MODEL FOR RUBBER
Boyer, Edmond
FOUNDATION, ANALYSIS, AND NUMERICAL INVESTIGATION OF A VARIATIONAL NETWORK-BASED MODEL FOR RUBBER, many models based on polymer chain statistics have been proposed to describe rubber elasticity. Recently, Alicandro, Cicalese, and the first author rigorously derived a continuum theory of rubber
NONLINEAR ANALYSIS OF RUBBER-BASED POLYMERIC MATERIALS WITH THERMAL RELAXATION MODELS
Melnik, Roderick
NONLINEAR ANALYSIS OF RUBBER-BASED POLYMERIC MATERIALS WITH THERMAL RELAXATION MODELS R. V. N Queensland, Australia Using mathematical modeling and computer simulation, nonlinear dynamics of rubber in the thermomechanical system. 1. INTRODUCTION The effect of thermal relaxation in rubber-based polymers is one
Analysis of a Darcy flow model with a dynamic pressure saturation relation \\Lambda
Hulshof, Joost
equations modelling the flow. In the standard approach for two phase flows, such as oilwater or airwater mixtures, one combines the mass conservation equations and Darcy's law for the separate phasesAnalysis of a Darcy flow model with a dynamic pressure saturation relation \\Lambda Josephus Hulshof
Super-Kamiokande Atmospheric Neutrino Analysis of Matter-Dependent Neutrino Oscillation Models
Tokyo, University of
Super-Kamiokande Atmospheric Neutrino Analysis of Matter-Dependent Neutrino Oscillation Models microform." Signature Date #12;University of Washington Abstract Super-Kamiokande Atmospheric Neutrino of the matter a neutrino passes through. Using the data from Super-Kamiokande-I, Âµ - oscillation models whose
TRNSYS MODELING OF A HYBRID LIGHTING SYSTEM: BUILDING ENERGY LOADS AND CHROMATICITY ANALYSIS
Wisconsin at Madison, University of
TRNSYS MODELING OF A HYBRID LIGHTING SYSTEM: BUILDING ENERGY LOADS AND CHROMATICITY ANALYSIS Frank-Solar Energy Laboratory 1500 Engineering Drive Madison, WI, 53706 USA fwburkholder@wisc.edu ABSTRACT The TRNSYS of the spectral model was necessary to perform building illumination and energy load analyses on a 2500 m2 office
Silander Jr., John A.
Ecological Modelling 185 (2005) 105Â131 Tropical deforestation in Madagascar: analysis usingÂeffect relationships for deforestation at various scales has proven difficult even when rates of deforestation appear approach to develop a novel deforestation model for the eastern wet forested zone of Madagascar, a global
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
Quantitative Analysis of UML Models Florian Leitner-Fischer and Stefan Leue
Leue, Stefan
industrial partner TRW Automotive GmbH we have proven the applicability of probabilistic verification was that of probabilistic Failure Modes Effect Analysis (pFMEA) [GCW07]. The most notable shortcoming of the approach models and the modeling languages that they are typically written in. TRW Automotive GmbH, like many
Coordination in irrigation systems: An analysis of the Lansing-Kremer model of Bali
Tesfatsion, Leigh
1 Coordination in irrigation systems: An analysis of the Lansing-Kremer model of Bali Marco A@indiana.edu Phone: 812 855 5178 Abstract Farmers within irrigation systems, such as those in Bali, solve complex, synchronization, agent-based model #12;2 1. Introduction The question of whether irrigation systems require
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
On two-sample data analysis by exponential model
Choi, Sujung
2005-11-01T23:59:59.000Z
density and exponential model. Assume that we have a random sample X1, . . . ,Xm from a continuous distribution F(y) = P(Xi y), i = 1, . . . ,m and a random sample Y1, . . . ,Yn from a continuous distribution G(y) = P(Yi y), i = 1, . . . ,n. Also assume...
A cosmographic analysis of holographic dark energy models
Supriya Pan; Subenoy Chakraborty
2014-11-10T23:59:59.000Z
The present work deals with a detailed study of interacting holographic dark energy model for three common choices of the interaction term. Also, two standard choices of IR cut-off, namely, Ricci length scale and radius of the event horizon are considered here. Finally, the cosmographic parameters are presented both analytically and graphically.
High Resolution PV Power Modeling for Distribution Circuit Analysis
Norris, B. L.; Dise, J. H.
2013-09-01T23:59:59.000Z
NREL has contracted with Clean Power Research to provide 1-minute simulation datasets of PV systems located at three high penetration distribution feeders in the service territory of Southern California Edison (SCE): Porterville, Palmdale, and Fontana, California. The resulting PV simulations will be used to separately model the electrical circuits to determine the impacts of PV on circuit operations.
Mathematical Modeling and Analysis P53-gene Mediated
Kurien, Susan
non-proliferative metabolic states. It was hypothesized by Graeber et al that the low nutrient:1000 population ratio [1]. Graeber observed that P53- mutant cells are able to survive better in hypoxic areas for P53 mutated cells. We first model the in vitro monolayer exper- iment of Graeber et al using a 2
Analysis of a finite element formulation for modelling phase separation
Wells, G N; Garikipati, Krishna
2007-01-01T23:59:59.000Z
The Cahn-Hilliard equation is of importance in materials science and a range of other fields. It represents a diffuse interface model for simulating the evolution of phase separation in solids and fluids, and is a nonlinear fourth-order parabolic...
Nuisance Source Population Modeling for Radiation Detection System Analysis
Sokkappa, P; Lange, D; Nelson, K; Wheeler, R
2009-10-05T23:59:59.000Z
A major challenge facing the prospective deployment of radiation detection systems for homeland security applications is the discrimination of radiological or nuclear 'threat sources' from radioactive, but benign, 'nuisance sources'. Common examples of such nuisance sources include naturally occurring radioactive material (NORM), medical patients who have received radioactive drugs for either diagnostics or treatment, and industrial sources. A sensitive detector that cannot distinguish between 'threat' and 'benign' classes will generate false positives which, if sufficiently frequent, will preclude it from being operationally deployed. In this report, we describe a first-principles physics-based modeling approach that is used to approximate the physical properties and corresponding gamma ray spectral signatures of real nuisance sources. Specific models are proposed for the three nuisance source classes - NORM, medical and industrial. The models can be validated against measured data - that is, energy spectra generated with the model can be compared to actual nuisance source data. We show by example how this is done for NORM and medical sources, using data sets obtained from spectroscopic detector deployments for cargo container screening and urban area traffic screening, respectively. In addition to capturing the range of radioactive signatures of individual nuisance sources, a nuisance source population model must generate sources with a frequency of occurrence consistent with that found in actual movement of goods and people. Measured radiation detection data can indicate these frequencies, but, at present, such data are available only for a very limited set of locations and time periods. In this report, we make more general estimates of frequencies for NORM and medical sources using a range of data sources such as shipping manifests and medical treatment statistics. We also identify potential data sources for industrial source frequencies, but leave the task of estimating these frequencies for future work. Modeling of nuisance source populations is only useful if it helps in understanding detector system performance in real operational environments. Examples of previous studies in which nuisance source models played a key role are briefly discussed. These include screening of in-bound urban traffic and monitoring of shipping containers in transit to U.S. ports.
Delay correlation analysis and representation for vital complaint VHDL models
Rich, Marvin J.; Misra, Ashutosh
2004-11-09T23:59:59.000Z
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.
H2A Hydrogen Delivery Infrastructure Analysis Models and Conventional
Broader source: Energy.gov (indexed) [DOE]
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaefer To: CongestionDevelopment ofofthePerformanceofPathway Options Analysis
2014 WIND POWER PROGRAM PEER REVIEW-ANALYSIS & MODELING
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The Future of BadTHEEnergy VehicleSessionOffice44DepartmentAnalysis and
Analysis and Geochemical Modeling of Vanadium Contamination in Groundwater
Office of Environmental Management (EM)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T, Inc.'s Reply Comments AT&T,FACT SAmes LabSystems Analysis Â»DepartmentNew
Weber, Stefan
About the Impact of Model Risk on Capital Reserves: A Quantitative Analysis. Philip Bertram1 the idea of model risk in the environment of internal model building. We define various types of model risk including estimation risk, model risk in distri- bution and model risk in functional form
Development of a UF{sub 6} cylinder transient heat transfer/stress analysis model
Williams, W.R. [Martin Marietta Energy Systems, Inc., Oak Ridge, TN (United States)
1991-12-31T23:59:59.000Z
A heat transfer/stress analysis model is being developed to simulate the heating to a point of rupture of a cylinder containing UF{sub 6} when it is exposed to a fire. The assumptions underlying the heat transfer portion of the model, which has been the focus of work to date, will be discussed. A key aspect of this model is a lumped parameter approach to modeling heat transfer. Preliminary results and future efforts to develop an integrated thermal/stress model will be outlined.
Characteristics of identifying linear dynamic models from impulse response data using Prony analysis
Trudnowski, D.J.
1992-12-01T23:59:59.000Z
The purpose of the study was to investigate the characteristics of fitting linear dynamic models to the impulse response of oscillatory dynamic systems using Prony analysis. Many dynamic systems exhibit oscillatory responses with multiple modes of oscillations. Although the underlying dynamics of such systems are often nonlinear, it is frequently possible and very useful to represent the system operating about some set point with a linear model. Derivation of such linear models can be done using two basic approaches: model the system using theoretical derivations and some linearization method such as a Taylor series expansion; or use a curve-fitting technique to optimally fit a linear model to specified system response data. Prony analysis belongs to the second class of system modeling because it is a method of fitting a linear model to the impulse response of a dynamic system. Its parallel formulation inherently makes it well suited for fitting models to oscillatory system data. Such oscillatory dynamic effects occur in large synchronous-generator-based power systems in the form of electromechanical oscillations. To study and characterize these oscillatory dynamics, BPA has developed computer codes to analyze system data using Prony analysis. The objective of this study was to develop a highly detailed understanding of the properties of using Prony analysis to fit models to systems with characteristics often encountered in power systems. This understanding was then extended to develop general ``rules-of-thumb`` for using Prony analysis. The general characteristics were investigated by performing fits to data from known linear models under controlled conditions. The conditions studied include various mathematical solution techniques; different parent system configurations; and a large variety of underlying noise characteristics.
Characteristics of identifying linear dynamic models from impulse response data using Prony analysis
Trudnowski, D.J.
1992-12-01T23:59:59.000Z
The purpose of the study was to investigate the characteristics of fitting linear dynamic models to the impulse response of oscillatory dynamic systems using Prony analysis. Many dynamic systems exhibit oscillatory responses with multiple modes of oscillations. Although the underlying dynamics of such systems are often nonlinear, it is frequently possible and very useful to represent the system operating about some set point with a linear model. Derivation of such linear models can be done using two basic approaches: model the system using theoretical derivations and some linearization method such as a Taylor series expansion; or use a curve-fitting technique to optimally fit a linear model to specified system response data. Prony analysis belongs to the second class of system modeling because it is a method of fitting a linear model to the impulse response of a dynamic system. Its parallel formulation inherently makes it well suited for fitting models to oscillatory system data. Such oscillatory dynamic effects occur in large synchronous-generator-based power systems in the form of electromechanical oscillations. To study and characterize these oscillatory dynamics, BPA has developed computer codes to analyze system data using Prony analysis. The objective of this study was to develop a highly detailed understanding of the properties of using Prony analysis to fit models to systems with characteristics often encountered in power systems. This understanding was then extended to develop general rules-of-thumb'' for using Prony analysis. The general characteristics were investigated by performing fits to data from known linear models under controlled conditions. The conditions studied include various mathematical solution techniques; different parent system configurations; and a large variety of underlying noise characteristics.
A sensitivity investigation of mathematical models for thermal effluent analysis
Lopez, Frank
1974-01-01T23:59:59.000Z
. It was found that the model was most sensitive to errors in the power plant input calcu- lations, depth determinations, and air temperature; it was moderately sensitive to solar radiation and relative humidity parameters; and it was somewhat insensitive...-SITE DATA COLLECTION Site Descrir&tion The Monitorinz Station THE ENERGy BUDGET CALCULATION Mechanisms of Heat Exchange Solar Radiation Atmospheric Radiation Evaporation Conduction Power Plant Input The Heat Balance Equation The Numerical Solution...
Modeling, analysis and control of quantum electronic devices
Zhang, Zhigang
2009-06-02T23:59:59.000Z
. . . . . . . . . . . . . . . . . 92 IV FEEDBACK IN COHERENT MAGNETOMETRY . . . . . . . 95 A. Kalman filter and LQG controller . . . . . . . . . . . . . . 95 B. System setup and its model . . . . . . . . . . . . . . . . . 99 C. Results by the Caltech group... setting and theoretical background to quantum computation. In the second part of my dissertation, I will introduce a setup of magnetometry by a Caltech group to test the effect of closed-loop feedback. Initial results show that the feedback makes...
Towards a Simplified Dynamic Wake Model using POD Analysis
Bastine, David; Wächter, Matthias; Peinke, Joachim
2014-01-01T23:59:59.000Z
We apply the proper orthogonal decomposition (POD) to large eddy simulation data of a wind turbine wake in a turbulent atmospheric boundary layer. The turbine is modeled as an actuator disk. Our analyis mainly focuses on the question whether POD could be a useful tool to develop a simplified dynamic wake model. The extracted POD modes are used to obtain approximate descriptions of the velocity field. To assess the quality of these POD reconstructions, we define simple measures which are believed to be relevant for a sequential turbine in the wake such as the energy flux through a disk in the wake. It is shown that only a few modes are necessary to capture basic dynamical aspects of these measures even though only a small part of the turbulent kinetic energy is restored. Furthermore, we show that the importance of the individual modes depends on the measure chosen. Therefore, the optimal choice of modes for a possible model could in principle depend on the application of interest. We additionally present a pos...
Modeling and Analysis of Solar Radiation Potentials on Building Rooftops
Omitaomu, Olufemi A [ORNL; Kodysh, Jeffrey B [ORNL; Bhaduri, Budhendra L [ORNL
2012-01-01T23:59:59.000Z
The active application of photovoltaic for electricity generation could effectively transform neighborhoods and commercial districts into small, localized power plants. This application, however, relies heavily on an accurate estimation of the amount of solar radiation that is available on individual building rooftops. While many solar energy maps exist at higher spatial resolution for concentrated solar energy applications, the data from these maps are not suitable for roof-mounted photovoltaic for several reasons, including lack of data at the appropriate spatial resolution and lack of integration of building-specific characteristics into the models used to generate the maps. To address this problem, we have developed a modeling framework for estimating solar radiation potentials on individual building rooftops that is suitable for utility-scale applications as well as building-specific applications. The framework uses light detection and ranging (LIDAR) data at approximately 1-meter horizontal resolution and 0.3-meter vertical resolution as input for modeling a large number of buildings quickly. One of the strengths of this framework is the ability to parallelize its implementation. Furthermore, the framework accounts for building specific characteristics, such as roof slope, roof aspect, and shadowing effects, that are critical to roof-mounted photovoltaic systems. The resulting data has helped us to identify the so-called solar panel sweet spots on individual building rooftops and obtain accurate statistics of the variation in solar radiation as a function of time of year and geographical location.
Analysis of spherically symmetric black holes in Braneworld models
A. B. Pavan
2010-05-25T23:59:59.000Z
Research on black holes and their physical proprieties has been active on last 90 years. With the appearance of the String Theory and the Braneworld models as alternative descriptions of our Universe, the interest on black holes, in these context, increased. In this work we studied black holes in Braneworld models. A class of spherically symmetric black holes is investigaded as well its stability under general perturbations. Thermodynamic proprieties and quasi-normal modes are discussed. The black holes studied are the SM (zero mass) and CFM solutions, obtained by Casadio {\\it et al.} and Bronnikov {\\it et al.}. The geometry of bulk is unknown. However the Campbell-Magaard Theorem guarantees the existence of a 5-dimensional solution in the bulk whose projection on the brane is the class of black holes considered. They are stable under scalar perturbations. Quasi-normal modes were observed in both models. The tail behavior of the perturbations is the same. The entropy upper bound of a body absorved by the black holes studied was calculated. This limit turned out to be independent of the black hole parameters.
Wetland model in an earth systems modeling framework for regional environmental policy analysis
Awadalla, Sirein Salah
2011-01-01T23:59:59.000Z
The objective of this research is to investigate incorporating a wetland component into a land energy and water fluxes model, the Community Land Model (CLM). CLM is the land fluxes component of the Integrated Global Systems ...
Modeling and estimation in Gaussian graphical models : maximum-entropy methods and walk-sum analysis
Chandrasekaran, Venkat
2007-01-01T23:59:59.000Z
Graphical models provide a powerful formalism for statistical signal processing. Due to their sophisticated modeling capabilities, they have found applications in a variety of fields such as computer vision, image processing, ...
Bohr model and dimensional scaling analysis of atoms and molecules
Urtekin, Kerim
2007-04-25T23:59:59.000Z
with coordinates rho1, z1 and rho2, z2 respectively; the dihedral angle phi between the (rho1,z1) and (rho2,z2) planes remains constant at either phi = pi or phi = 0. The sketch corresponds to confifguration 2 of Fig. 2, with phi = pi... phi = pi or phi = 0. The sketch corresponds to configuration 2 of Fig. 2, with phi = pi. Figure 1 displays the Bohr model for a hydrogen molecule [1, 7, 15], in which two nuclei with charges Z|e| are separated by a fixed distance R (adiabatic...
On two-sample data analysis by exponential model
Choi, Sujung
2005-11-01T23:59:59.000Z
of score functions, components, comparison distribution, comparison density and exponential model. Assume that we have a random sample X 1 ,???,X m from a continuous distribution F(y)=P(X i ? y),i =1,???,mand a random sample Y 1 ,???,Y n from a continuous... distribution G(y)=P(Y i ? y),i=1,???,n. Also as- sume independence of the two samples. The two-sample problem tests homogeneity of two samples and formally can be stated asH 0 : F = G. To solve the two-sample prob- lem, a number of tests have been proposed...
Modeling Distribution Connected PV and Interconnection Study Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'. William Hirst HirstModeling &
Advanced PHEV Engine Systems and Emissions Control Modeling and Analysis |
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The Future of1 AAcceleratedDepartment of EnergyModelingDepartmentDepartment of
Summary of in situ vitrification modeling and analysis accomplishments for fiscal year 1991
Slater, C.E.
1991-11-01T23:59:59.000Z
The in situ vitrification (ISV) modeling activities encompass a variety of both modeling development efforts and analysis applications in support of the ISV project. The model development effort is directed toward modifying or developing a set of computer codes to simulate the ISV process. These codes are used to perform safety and environmental hazards analyses, assist in experimental test planning and design, assist in equipment design and development of operating procedures, and provide enhanced understanding of the ISV process. This report presents a summary description of the accomplishments in Fiscal Year 1991 for both the model development and analysis areas. Brief descriptions of the models that were developed and the more important conclusions from the analytical studies are presented.
Simulation and physical model based gamma-ray burst afterglow analysis
van Eerten, Hendrik
2015-01-01T23:59:59.000Z
Advances in our numerical and theoretical understanding of gamma-ray burst afterglow processes allow us to construct models capable of dealing with complex relativistic jet dynamics and non-thermal emission, that can be compared directly to data from instruments such as Swift. Because afterglow blast waves and power law spectra are intrinsically scale-invariant under changes of explosion energy and medium density, templates can be generated from large-scale hydrodynamics simulations. This allows for iterative template-based model fitting using the physical model parameters (quantifying the properties of the burster, emission and observer) directly as fit variables. Here I review how such an approach to afterglow analysis works in practice, paying special attention to the underlying model assumptions, possibilities, caveats and limitations of this type of analysis. Because some model parameters can be degenerate in certain regions of parameter space, or unconstrained if data in a limited number of a bands is a...
Aickelin, Uwe
Genetic algorithm evolved agent-based equity trading using Technical Analysis and the Capital Asset data using technical analysis, the capital asset pricing model and a hybrid model of the two approaches. Results indicated that the technical analysis based approach performed better than the capital asset
Algebraic Geometrization of the Kuramoto Model: Equilibria and Stability Analysis
Dhagash Mehta; Noah Daleo; Florian Dörfler; Jonathan D. Hauenstein
2015-01-03T23:59:59.000Z
Finding equilibria of the finite size Kuramoto model amounts to solving a nonlinear system of equations, which is an important yet challenging problem. We translate this into an algebraic geometry problem and use numerical methods to find all of the equilibria for various choices of coupling constants K, natural frequencies, and on different graphs. We note that for even modest sizes (N ~ 10-20), the number of equilibria is already more than 100,000. We analyze the stability of each computed equilibrium as well as the configuration of angles. Our exploration of the equilibrium landscape leads to unexpected and possibly surprising results including non-monotonicity in the number of equilibria, a predictable pattern in the indices of equilibria, counter-examples to popular conjectures, multi-stable equilibrium landscapes, scenarios with only unstable equilibria, and multiple distinct extrema in the stable equilibrium distribution as a function of the number of cycles in the graph.
Process integrated modelling for steelmaking Life Cycle Inventory analysis
Iosif, Ana-Maria [Arcelor Research, Voie Romaine, BP30320, Maizieres-les-Metz, 57283 (France)], E-mail: ana-maria.iosif@arcelormittal.com; Hanrot, Francois [Arcelor Research, Voie Romaine, BP30320, Maizieres-les-Metz, 57283 (France)], E-mail: francois.hanrot@arcelormittal.com; Ablitzer, Denis [LSG2M, Ecole des Mines de Nancy, Parc de Saurupt, F-54042 Nancy cedex (France)], E-mail: denis.ablitzer@mines.inpl-nancy.fr
2008-10-15T23:59:59.000Z
During recent years, strict environmental regulations have been implemented by governments for the steelmaking industry in order to reduce their environmental impact. In the frame of the ULCOS project, we have developed a new methodological framework which combines the process integrated modelling approach with Life Cycle Assessment (LCA) method in order to carry out the Life Cycle Inventory of steelmaking. In the current paper, this new concept has been applied to the sinter plant which is the most polluting steelmaking process. It has been shown that this approach is a powerful tool to make the collection of data easier, to save time and to provide reliable information concerning the environmental diagnostic of the steelmaking processes.
Thermophysical models of underground coal gasification and FEM analysis
Yang, L.H. [China University of Mining & Technology, Xuzhou (China)
2007-11-15T23:59:59.000Z
In this study, mathematical models of the coupled thermohydromechanical process of coal rock mass in an underground coal gasification panel are established. Combined with the calculation example, the influence of heating effects on the observed values and simulated values for pore water pressure, stress, and displacement in the gasification panel are fully discussed and analyzed. Calculation results indicate that 38, 62, and 96 days after the experiment, the average relative errors for the calculated values and measured values for the temperature and water pressure were between 8.51-11.14% and 3-10%, respectively; with the passage of gasification time, the calculated errors for the vertical stress and horizontal stress gradually declined, but the simulated errors for the horizontal and vertical displacements both showed a rising trend. On the basis of the research results, the calculated values and the measured values agree with each other very well.
Solar Radiometry and Metrology, Session: Modeling and Analysis (Presentation)
Myers, D. R.
2008-04-01T23:59:59.000Z
This project supports the Solar America Initiative by: (1) Providing solar radiometric measurements, data, and related technical information support to NREL Measurements and Characterization Task; NREL Reliability and Durability Task; Systems and component testing and evaluation for the SAI TPPs; Requests from industry; (2) Producing credible radiometric measurements traceable to recognized standards for performance and Industry applications in accordance with IS0-17025 accreditation scope; (3) Contributing to consensus codes and standards for performance and measurement techniques for NREL R&D, SAI TPPs, and industry applications; (4) Maintain stability of the NREL solar radiation reference (absolute cavity radiometers); (5) Execute high quality detailed radiometric calibrations for broadband and spectral radiometers to meet NREL research and PV industry needs; (6) Participate in national and international consensus standards development, contributing technical expertise, data, and analysis where appropriate; (7) Provide technical information on solar radiation resource data and applications to meet research and industry needs; and (8) Transfer technology in this area to other researchers and industry via publications and conference papers and presentations.
Blair, N.; Jenkin, T.; Milford, J.; Short, W.; Sullivan, P.; Evans, D.; Lieberman, E.; Goldstein, G.; Wright, E.; Jayaraman, K.; Venkatech, B.; Kleiman, G.; Namovicz, C.; Smith, B.; Palmer, K.; Wiser, R.; Wood, F.
2009-09-30T23:59:59.000Z
The Renewable Energy and Efficiency Modeling and Analysis Partnership (REMAP) sponsors ongoing workshops to discuss individual 'renewable' technologies, energy/economic modeling, and - to some extent - policy issues related to renewable energy. Since 2002, the group has organized seven workshops, each focusing on a different renewable technology (geothermal, solar, wind, etc.). These workshops originated and continue to be run under an informal partnership of the Environmental Protection Agency (EPA), the Department of Energy's (DOE) Office of Energy Efficiency and Renewable Energy (EERE), the National Renewable Energy Laboratory (NREL), and the American Council on Renewable Energy (ACORE). EPA originally funded the activities, but support is now shared between EPA and EERE. REMAP has a wide range of participating analysts and models/modelers that come from government, the private sector, and academia. Modelers include staff from the Energy Information Administration (EIA), the American Council for an Energy-Efficient Economy (ACEEE), NREL, EPA, Resources for the Future (RFF), Argonne National Laboratory (ANL), Northeast States for Coordinated Air Use Management (NESCAUM), Regional Economic Models Inc. (REMI), ICF International, OnLocation Inc., and Boston University. The working group has more than 40 members, which also includes representatives from DOE, Lawrence Berkeley National Laboratory (LBNL), Union of Concerned Scientists (UCS), Massachusetts Renewable Energy Trust, Federal Energy Regulatory Commission (FERC), and ACORE. This report summarizes the activities and findings of the REMAP activity that started in late 2006 with a kickoff meeting, and concluded in mid-2008 with presentations of final results. As the project evolved, the group compared results across models and across technologies rather than just examining a specific technology or activity. The overall goal was to better understand how and why different energy models give similar and/or different answers in response to a set of focused energy-related questions. The focus was on understanding reasons for model differences, not on policy implications, even though a policy of high renewable penetration was used for the analysis. A group process was used to identify the potential question (or questions) to be addressed through the project. In late 2006, increasing renewable energy penetration in the electricity sector was chosen from among several options as the general policy to model. From this framework, the analysts chose a renewable portfolio standard (RPS) as the way to implement the required renewable energy market penetration in the models. An RPS was chosen because it was (i) of interest and represented the group's consensus choice, and (ii) tractable and not too burdensome for the modelers. Because the modelers and analysts were largely using their own resources, it was important to consider the degree of effort required. In fact, several of the modelers who started this process had to discontinue participation because of other demands on their time. Federal and state RPS policy is an area of active political interest and debate. Recognizing this, participants used this exercise to gain insight into energy model structure and performance. The results are not intended to provide any particular insight into policy design or be used for policy advocacy, and participants are not expected to form a policy stance based on the outcomes of the modeling. The goals of this REMAP project - in terms of the main topic of renewable penetration - were to: (1) Compare models and understand why they may give different results to the same question, (2) Improve the rigor and consistency of assumptions used across models, and (3) Evaluate the ability of models to measure the impacts of high renewable-penetration scenarios.
Uncertainty Analysis Framework - Hanford Site-Wide Groundwater Flow and Transport Model
Cole, Charles R.; Bergeron, Marcel P.; Murray, Christopher J.; Thorne, Paul D.; Wurstner, Signe K.; Rogers, Phillip M.
2001-11-09T23:59:59.000Z
Pacific Northwest National Laboratory (PNNL) embarked on a new initiative to strengthen the technical defensibility of the predictions being made with a site-wide groundwater flow and transport model at the U.S. Department of Energy Hanford Site in southeastern Washington State. In FY 2000, the focus of the initiative was on the characterization of major uncertainties in the current conceptual model that would affect model predictions. The long-term goals of the initiative are the development and implementation of an uncertainty estimation methodology in future assessments and analyses using the site-wide model. This report focuses on the development and implementation of an uncertainty analysis framework.
VAM2D: Variably saturated analysis model in two dimensions
Huyakorn, P.S.; Kool, J.B.; Wu, Y.S. (HydroGeoLogic, Inc., Herndon, VA (United States))
1991-10-01T23:59:59.000Z
This report documents a two-dimensional finite element model, VAM2D, developed to simulate water flow and solute transport in variably saturated porous media. Both flow and transport simulation can be handled concurrently or sequentially. The formulation of the governing equations and the numerical procedures used in the code are presented. The flow equation is approximated using the Galerkin finite element method. Nonlinear soil moisture characteristics and atmospheric boundary conditions (e.g., infiltration, evaporation and seepage face), are treated using Picard and Newton-Raphson iterations. Hysteresis effects and anisotropy in the unsaturated hydraulic conductivity can be taken into account if needed. The contaminant transport simulation can account for advection, hydrodynamic dispersion, linear equilibrium sorption, and first-order degradation. Transport of a single component or a multi-component decay chain can be handled. The transport equation is approximated using an upstream weighted residual method. Several test problems are presented to verify the code and demonstrate its utility. These problems range from simple one-dimensional to complex two-dimensional and axisymmetric problems. This document has been produced as a user's manual. It contains detailed information on the code structure along with instructions for input data preparation and sample input and printed output for selected test problems. Also included are instructions for job set up and restarting procedures. 44 refs., 54 figs., 24 tabs.
THERMAL MODELING ANALYSIS OF SRS 70 TON CASK
Lee, S.; Jordan, J.; Hensel, S.
2011-03-08T23:59:59.000Z
The primary objective of this work was to perform the thermal calculations to evaluate the Material Test Reactor (MTR) fuel assembly temperatures inside the SRS 70-Ton Cask loaded with various bundle powers. MTR fuel consists of HFBR, MURR, MIT, and NIST. The MURR fuel was used to develop a bounding case since it is the fuel with the highest heat load. The results will be provided for technical input for the SRS 70 Ton Cask Onsite Safety Assessment. The calculation results show that for the SRS 70 ton dry cask with 2750 watts total heat source with a maximum bundle heat of 670 watts and 9 bundles of MURR bounding fuel, the highest fuel assembly temperatures are below about 263 C. Maximum top surface temperature of the plastic cover is about 112 C, much lower than its melting temperature 260 C. For 12 bundles of MURR bounding fuel with 2750 watts total heat and a maximum fuel bundle of 482 watts, the highest fuel assembly temperatures are bounded by the 9 bundle case. The component temperatures of the cask were calculated by a three-dimensional computational fluid dynamics approach. The modeling calculations were performed by considering daily-averaged solar heat flux.
Husimi distribution and phase space analysis of Dicke model quantum phase transition
E. Romera; R. del Real; M. Calixto
2014-09-19T23:59:59.000Z
The Husimi distribution is proposed for a phase space analysis of quantum phase transitions in the Dicke model of spin-boson interactions. We show that the inverse participation ratio and Wehrl entropy of the Husimi distribution give sharp signatures of the quantum phase transition. The analysis has been done using two frameworks: a numerical treatment and an analytical variational approximation. Additionally we have proposed a new characterization of the Dicke model quantum phase transition by means of the zeros of the Husimi distribution in the variational approach.
Comprehensive mechanisms for combustion chemistry: Experiment, modeling, and sensitivity analysis
Dryer, F.L.; Yetter, R.A. [Princeton Univ., NJ (United States)
1993-12-01T23:59:59.000Z
This research program is an integrated experimental/numerical effort to study pyrolysis and oxidation reactions and mechanisms for small-molecule hydrocarbon structures under conditions representative of combustion environments. The experimental aspects of the work are conducted in large diameter flow reactors, at pressures from one to twenty atmospheres, temperatures from 550 K to 1200 K, and with observed reaction times from 10{sup {minus}2} to 5 seconds. Gas sampling of stable reactant, intermediate, and product species concentrations provides not only substantial definition of the phenomenology of reaction mechanisms, but a significantly constrained set of kinetic information with negligible diffusive coupling. Analytical techniques used for detecting hydrocarbons and carbon oxides include gas chromatography (GC), and gas infrared (NDIR) and FTIR methods are utilized for continuous on-line sample detection of light absorption measurements of OH have also been performed in an atmospheric pressure flow reactor (APFR), and a variable pressure flow (VPFR) reactor is presently being instrumented to perform optical measurements of radicals and highly reactive molecular intermediates. The numerical aspects of the work utilize zero and one-dimensional pre-mixed, detailed kinetic studies, including path, elemental gradient sensitivity, and feature sensitivity analyses. The program emphasizes the use of hierarchical mechanistic construction to understand and develop detailed kinetic mechanisms. Numerical studies are utilized for guiding experimental parameter selections, for interpreting observations, for extending the predictive range of mechanism constructs, and to study the effects of diffusive transport coupling on reaction behavior in flames. Modeling using well defined and validated mechanisms for the CO/H{sub 2}/oxidant systems.
Estrin, G.; Fenchel, R.S.; Razouk, R.R.; Vernon, M.K.
1986-02-01T23:59:59.000Z
An environment to support designers in the modeling, analysis and simulation of concurrent systems is described. It is shown how a fully nested structure model supports multilevel design and focuses attention on the interfaces between the modules which serve to encapsulate behavior. Using simple examples the paper indicates how a formal graph model can be used to model behavior in three domains: control flow, data flow, and interpretation. The effectiveness of the explicity environment model in SARA is discussed and the capability to analyze correctness and evaluate performance of a system model are demonstrated. A description of the integral help designed into SARA shows how the designer can be offered consistent use of any new tool introduced to support the design process.
Reliability analysis and prediction of mixed mode load using Markov Chain Model
Nikabdullah, N. [Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia and Institute of Space Science (ANGKASA), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (Malaysia); Singh, S. S. K.; Alebrahim, R.; Azizi, M. A. [Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (Malaysia); K, Elwaleed A. [Institute of Space Science (ANGKASA), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (Malaysia); Noorani, M. S. M. [School of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia (Malaysia)
2014-06-19T23:59:59.000Z
The aim of this paper is to present the reliability analysis and prediction of mixed mode loading by using a simple two state Markov Chain Model for an automotive crankshaft. The reliability analysis and prediction for any automotive component or structure is important for analyzing and measuring the failure to increase the design life, eliminate or reduce the likelihood of failures and safety risk. The mechanical failures of the crankshaft are due of high bending and torsion stress concentration from high cycle and low rotating bending and torsional stress. The Markov Chain was used to model the two states based on the probability of failure due to bending and torsion stress. In most investigations it revealed that bending stress is much serve than torsional stress, therefore the probability criteria for the bending state would be higher compared to the torsion state. A statistical comparison between the developed Markov Chain Model and field data was done to observe the percentage of error. The reliability analysis and prediction was derived and illustrated from the Markov Chain Model were shown in the Weibull probability and cumulative distribution function, hazard rate and reliability curve and the bathtub curve. It can be concluded that Markov Chain Model has the ability to generate near similar data with minimal percentage of error and for a practical application; the proposed model provides a good accuracy in determining the reliability for the crankshaft under mixed mode loading.
Economic analysis and assessment of syngas production using a modeling approach
Kim, Hakkwan; Parajuli, Prem B.; Yu, Fei; Columbus, Eugene P.
2011-08-10T23:59:59.000Z
Economic analysis and modeling are essential and important issues for the development of current feedstock and process technology for bio-gasification. The objective of this study was to develop an economic model and apply to predict the unit cost of syngas production from a micro-scale bio-gasification facility. An economic model was programmed in C++ computer programming language and developed using a parametric cost approach, which included processes to calculate the total capital costs and the total operating costs. The model used measured economic data from the bio-gasification facility at Mississippi State University. The modeling results showed that the unit cost of syngas production was $1.217 for a 60 Nm-3 h-1 capacity bio-gasifier. The operating cost was the major part of the total production cost. The equipment purchase cost and the labor cost were the largest part of the total capital cost and the total operating cost, respectively. Sensitivity analysis indicated that labor costs rank the top as followed by equipment cost, loan life, feedstock cost, interest rate, utility cost, and waste treatment cost. The unit cost of syngas production increased with the increase of all parameters with exception of loan life. The annual cost regarding equipment, labor, feedstock, waste treatment, and utility cost showed a linear relationship with percent changes, while loan life and annual interest rate showed a non-linear relationship. This study provides the useful information for economic analysis and assessment of the syngas production using a modeling approach.
The TEF modeling and analysis approach to advance thermionic space power technology
Marshall, A.C. [Defense Special Weapons Agency NMERI: 801 University Avenue SE Albuquerque, New Mexico 87106 (United States)
1997-01-01T23:59:59.000Z
Thermionics space power systems have been proposed as advanced power sources for future space missions that require electrical power levels significantly above the capabilities of current space power systems. The Defense Special Weapons Agency{close_quote}s (DSWA) Thermionic Evaluation Facility (TEF) is carrying out both experimental and analytical research to advance thermionic space power technology to meet this expected need. A Modeling and Analysis (M&A) project has been created at the TEF to develop analysis tools, evaluate concepts, and guide research. M&A activities are closely linked to the TEF experimental program, providing experiment support and using experimental data to validate models. A planning exercise has been completed for the M&A project, and a strategy for implementation was developed. All M&A activities will build on a framework provided by a system performance model for a baseline Thermionic Fuel Element (TFE) concept. The system model is composed of sub-models for each of the system components and sub-systems. Additional thermionic component options and model improvements will continue to be incorporated in the basic system model during the course of the program. All tasks are organized into four focus areas: 1) system models, 2) thermionic research, 3) alternative concepts, and 4) documentation and integration. The M&A project will provide a solid framework for future thermionic system development. {copyright} {ital 1997 American Institute of Physics.}
The TEF modeling and analysis approach to advance thermionic space power technology
Marshall, Albert C. [Defense Special Weapons Agency NMERI: 801 University Avenue SE Albuquerque, New Mexico 87106 (United States)
1997-01-10T23:59:59.000Z
Thermionics space power systems have been proposed as advanced power sources for future space missions that require electrical power levels significantly above the capabilities of current space power systems. The Defense Special Weapons Agency's (DSWA) Thermionic Evaluation Facility (TEF) is carrying out both experimental and analytical research to advance thermionic space power technology to meet this expected need. A Modeling and Analysis (M and A) project has been created at the TEF to develop analysis tools, evaluate concepts, and guide research. M and A activities are closely linked to the TEF experimental program, providing experiment support and using experimental data to validate models. A planning exercise has been completed for the M and A project, and a strategy for implementation was developed. All M and A activities will build on a framework provided by a system performance model for a baseline Thermionic Fuel Element (TFE) concept. The system model is composed of sub-models for each of the system components and sub-systems. Additional thermionic component options and model improvements will continue to be incorporated in the basic system model during the course of the program. All tasks are organized into four focus areas: 1) system models, 2) thermionic research, 3) alternative concepts, and 4) documentation and integration. The M and A project will provide a solid framework for future thermionic system development.
A Cognitively Bounded Rational Analysis Model of Dual-Task Performance Trade-Offs
Saunders, Mark
A Cognitively Bounded Rational Analysis Model of Dual-Task Performance Trade-Offs Christian P of interleaving two tasks can be described as making trade-offs between performance on each of the tasks. This can. An objective payoff function was used to describe how participants should trade-off performance between
Mauve: a Component-based Modeling Framework for Real-time Analysis of Robotic Applications
Mauve: a Component-based Modeling Framework for Real-time Analysis of Robotic Applications Charles paradigm for robotic software devel- opment [2], applied in many applications [3], [4], [5], [6]. Resulting validation of the robotic application, by directly analysing the architecture specification, and limiting
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
Analysis of model equations for stress-enhanced diffusion in coal
Segatti, Antonio
Analysis of model equations for stress-enhanced diffusion in coal layers Andro Mikeli´c Andro coal seams. A typical procedure is the injection of carbon dioxide via deviated wells drilled inside the coal seams. Carbon dioxide displaces the methane adsorbed on the internal surface of the coal
Control-relevant Modelling and Linear Analysis of Instabilities in Oxy-fuel Combustion
Foss, Bjarne A.
Control-relevant Modelling and Linear Analysis of Instabilities in Oxy-fuel Combustion Dagfinn combustion have been proposed as an alternative to conventional gas turbine cycles for achieving CO2-capture for CO2 sequestration purposes. While combustion instabilities is a problem in modern conventional gas
Snieder, Roel
Seismic modeling and analysis of a prototype heated nuclear waste storage tunnel, Yucca Mountain was heated to replicate the effects of long-term storage of decaying nuclear waste and to study the effects for the long- term storage of high-level nuclear waste from reactors and decom- missioned atomic weapons
Numerical analysis of electric field formulations of the eddy current model
RodrĂguez, Rodolfo
Numerical analysis of electric field formulations of the eddy current model Alfredo BermÂ´udez1 methods for the numeri- cal solution of the eddy current problem in a bounded conducting domain crossed): 78M10, 65N30 Key words Low-frequency harmonic Maxwell equations, eddy currents, finite elements
Mathematical and numerical analysis of a transient non-linear axisymmetric eddy current model
RodrĂguez, Rodolfo
Mathematical and numerical analysis of a transient non-linear axisymmetric eddy current model the theoretically predicted behavior of the method, are reported. Keywords transient eddy current Â· axisymmetric is the accurate computation of power losses in the ferromagnetic components of the core due to hysteresis and eddy-current
A non linear model for combustion instability : analysis and quenching of the oscillations
Boyer, Edmond
- ing the oscillations. 1 Introduction Combustion instabilities phenomena in gas turbine are the focusA non linear model for combustion instability : analysis and quenching of the oscillations Ioan D are reflected by physical boundaries into the combustion process. In term of system interpretation
New Logic Modeling Paradigms for Complex System Reliability and Risk Analysis
Bernstein, Joseph B.
New Logic Modeling Paradigms for Complex System Reliability and Risk Analysis Antoine Rauzy Chair ground ... is a mature technology ... is a great tool for decision making So, what's next? · More://www.lgi.ecp.fr/pmwiki.php/PagesPerso/ARauzy *Sponsored by SAFRAN group #12;Probabilistic Risk Assessment ... ... is now established on a solid scientific
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
Analysis, Modeling and Neural Network Traction Control of an Electric Vehicle
Paris-Sud XI, Université de
Analysis, Modeling and Neural Network Traction Control of an Electric Vehicle without Differential Terms--Electric vehicle, electric motor, speed estimation, neural networks, traction control. I. INTRODUCTION Recently, Electric Vehicles (EVs) including fuel-cell and hybrid vehicles have been developed very
and analysis tool capable of analyzing floating platform concepts for offshore wind turbines. The new modeling tool combines the computational methodologies used to analyze land-based wind turbines dynamic simulation tool will enable the development of cost-effective offshore technologies capable
State-of-the-art Tools and Techniques for Quantitative Modeling and Analysis of Embedded
David, Alexandre
1 State-of-the-art Tools and Techniques for Quantitative Modeling and Analysis of Embedded Systems¶AalborgCNRS VerimagINRIA/IRISA §Saarland University ¶Embedded Systems Institute and Radboud University Abstract and stochastic aspects. Then, we will overview the BIP framework for modular design and code generation. Finally
COMMENTS ON STRUCTURAL CONDITION ANALYSIS BASED ON STRAIN MEASUREMENTS ON TRIPOD MODEL
Boyer, Edmond
depth of 50 m. Bigger size wind turbines are now designed in order to produce more electrical power thanCOMMENTS ON STRUCTURAL CONDITION ANALYSIS BASED ON STRAIN MEASUREMENTS ON TRIPOD MODEL S. Opoka1, M strain can be valuable indicator of such changes. KEYWORDS : offshore support structure, wind turbine
Giurgiutiu, Victor
damage assessment, and are considered as a new non-destructive evaluation method. The in-situ impedance of experimental results obtained from previous work. The real part of the measured PWAS impedance presents twoOn the Modeling of Piezoelectric Wafer Active Sensor Impedance Analysis for Structural Health
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 for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA {mardavij, mdrine loop system. Under this pricing mechanism, electricity is priced at the exant´e price (calculated based
Coupled Damage and Plasticity Modelling in Transient Dynamic Analysis of Concrete
Coupled Damage and Plasticity Modelling in Transient Dynamic Analysis of Concrete F. Gatuingt Abstract In a concrete structure subjected to an explosion, for example a concrete slab, the material on the same concrete. Computations of split Hopkinson tests on confined concrete, a tensile test with scabbing
Modeling of board-level package by Finite Element Analysis and laser interferometer measurements
Cao, Wenwu
and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, 800 Dong Chuan Road, Shanghai be simulated by an equivalent Finite Element Analysis (FEA) model of the board-level package, in which detailed layer structure of the Print Circuit Board (PCB), signal wires and through-holes were ignored
Rheo-PIV Analysis of the Yielding and Flow of Model Waxy Crude Oils
Rheo-PIV Analysis of the Yielding and Flow of Model Waxy Crude Oils Christopher J. Dimitriou@mit.edu Abstract Waxes are a commonly encountered precipitate that can result in gelation of crude oils behavior similar to waxy crude oils encountered in production scenarios. To study the consequences
Sloshing in the LNG shipping industry: risk modelling through multivariate heavy-tail analysis
Sloshing in the LNG shipping industry: risk modelling through multivariate heavy-tail analysis In the liquefied natural gas (LNG) shipping industry, the phenomenon of slosh- ing can lead to the occurrence in the LNG shipping industry. KEYWORDS: Sloshing, multivariate heavy-tail distribution, asymptotic depen
Harilal, S. S.
MODELING OF DAMAGE AND LIFETIME ANALYSIS OF PLASMA FACING COMPONENTS DURING PLASMA INSTABILITIES of the damage will essentially depend on the intensity and duration of energy deposited on PFC. Both bulk and surface damages can take place depending on these parameters. For this reason different deposition times
A Formal Framework for Modeling and Analysis of System-Level Dynamic Power Management
Ha, Dong S.
A Formal Framework for Modeling and Analysis of System-Level Dynamic Power Management Shrirang, tlmartin, ha}@vt.edu Abstract Recent advances in Dynamic Power Management (DPM) tech- niques have resulted in designs that support a rich set of power management options, both at the hardware and software levels
Randomized flow model and centrality measure for electrical power transmission network analysis
Boyer, Edmond
the vulnerability of electric power infrastructure systems [2, 3]. The focus of these types of studies is typically1 Randomized flow model and centrality measure for electrical power transmission network analysis. Centrality measures can then be coherently defined. An example of application to an electrical power
On a Modeling Framework for the Analysis of Interdependencies in Electric Power Systems
Firenze, Universitŕ degli Studi di
On a Modeling Framework for the Analysis of Interdependencies in Electric Power Systems Silvano, including the Electric Power System (EPS), through which vital services are provided. In existing EPS two co- operating infrastructures are involved: the Electric Infras- tructure (EI) for the electricity generation
A versatile computer model for the design and analysis of electric and hybrid vehicles
Stevens, Kenneth Michael
1996-01-01T23:59:59.000Z
The primary purpose of the work reported in this thesis was to develop a versatile computer model to facilitate the design and analysis of hybrid vehicle drive-trains. A hybrid vehicle is one in which power for propulsion comes from two distinct...
Independent Component Analysis For EEG Source Localization In Realistic Head Models
Utah, University of
1 Independent Component Analysis For EEG Source Localization In Realistic Head Models Leonid Zhukov Abstract-- A pervasive problem in neuroscience is determining which regions of the brain are active, given within the brain from electroencephalo- graphic (EEG) recordings is an ill-posed problem. Specifi- cally
Independent Component Analysis For EEG Source Localization In Realistic Head Models
Utah, University of
1 Independent Component Analysis For EEG Source Localization In Realistic Head Models Leonid Zhukov Abstract--- A pervasive problem in neuroscience is determining which regions of the brain are active, given within the brain from electroencephalo graphic (EEG) recordings is an illposed problem. Specifi cally
Multivariate Analysis of Longitudinal Ordinal Data with Mixed Eects Models, with Application to
to Clinical Outcomes in Osteoarthritis Celine Marielle Laont1,2, Marc Vandemeulebroecke3, Didier Concordet1 are used. Typically, four ordinal outcomes are measured in clinical trials, including the posture of a dog feature in clinical trials. However, the standard methods for data analysis use unidimen- sional models
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
Enterprise Social Network Analysis and Modeling: A Tale of Two Graphs
Li, Li Erran
Enterprise Social Network Analysis and Modeling: A Tale of Two Graphs Jin Cao1, Hongyu Gao2, Li to understand how people are using these social networks. Unlike the public social networks like Facebook social networks are also governed by an organization graph. Based on a six month dataset collected from
Impact of Jitter-based Techniques on Flooding over Wireless Ad hoc Networks: Model and Analysis
Paris-Sud XI, Université de
Impact of Jitter-based Techniques on Flooding over Wireless Ad hoc Networks: Model and Analysis Philippe.Jacquet@inria.fr Emmanuel Baccelli INRIA, France Emmanuel.Baccelli@inria.fr Abstract--Jitter. This paper investigates on the impact of the standardized jitter mechanism on network-wide packet
PERFORMANCE ANALYSIS OF INDUSTRIAL ETHERNET NETWORKS BY MEANS OF TIMED MODEL-CHECKING
Paris-Sud XI, Université de
technologies in manufacturing automation but they have not been specifically intended for industrial controlPERFORMANCE ANALYSIS OF INDUSTRIAL ETHERNET NETWORKS BY MEANS OF TIMED MODEL-CHECKING Daniel Witsch networks are promising for the harmonization of the communication technologies in manufacturing automation
Gitelson, Anatoly
Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative for Sciences, 260 Panama Street, Stanford, CA 94305, USA d Center for Advanced Land Management Information squares regression We used synthetic reflectance spectra generated by a radiative transfer model, PROSPECT
Gitelson, Anatoly
Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative for Sciences, 260 Panama Street, Stanford, CA 94305, USA d Center for Advanced Land Management Information regression We used synthetic reflectance spectra generated by a radiative transfer model, PROSPECT-5
A Simulation Technique for Performance Analysis of Generic Petri Net Models of Computer Systems1
Cintra, Marcelo
A Simulation Technique for Performance Analysis of Generic Petri Net Models of Computer Systems1 Abstract Many timed extensions for Petri nets have been proposed in the literature, but their analytical solutions impose limitations on the time distributions and the net topology. To overcome these limitations
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
Analysis and Modeling of Clock-Jitter Effects in Delta-Sigma Modulators
Palermo, Sam
Analysis and Modeling of Clock-Jitter Effects in Delta-Sigma Modulators Ramy Saad, Sebastian Hoyos, Texas, USA Abstract Random variation in the timing of clock edges (namely, clock-jitter) is a critical-converters. The problem of clock-jitter is a very critical issue and can significantly deteriorate the achievable signal
Discrete-Time, Cyclostationary Phase-Locked Loop Model for Jitter Analysis
Nikolic, Borivoje
Discrete-Time, Cyclostationary Phase-Locked Loop Model for Jitter Analysis Socrates D. Vamvakos Sciences, Berkeley, CA 94720 USA Abstract Â Timing jitter is one of the most significant phase- locked loop to develop the tools necessary to study and predict PLL jitter performance at design time. In this paper
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
A versatile computer model for the design and analysis of electric and hybrid vehicles
Stevens, Kenneth Michael
1996-01-01T23:59:59.000Z
The primary purpose of the work reported in this thesis was to develop a versatile computer model to facilitate the design and analysis of hybrid vehicle drive-trains. A hybrid vehicle is one in which power for propulsion comes from two distinct...
Harmonic Analysis of a Three-Phase Diode Bridge Rectifier based on Sampled-Data Model
Lehn, Peter W.
Harmonic Analysis of a Three-Phase Diode Bridge Rectifier based on Sampled-Data Model K. L. Lian. As demonstrated in the paper, the proposed method analytically evaluates harmonics, and obtains exact switching is to incorporate it into a harmonic power flow program to yield improved accuracy. Index Terms-- Diode Bridge
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
Model-based analysis and simulation of regenerative heat wheel Zhuang Wu a
Melnik, Roderick
, which is used in many heat recovery systems. In this paper, a model-based analysis of a rotary Mechanical ventilation with heat recovery systems plays a vital role in securing optimum air quality, thermal heat recovery systems [3]. Such systems have a significant effect on the energy effectiveness
Digital service analysis and design: the role of process modelling Steven Buchanan*
Strathclyde, University of
and usefulness of a UK National Health Service (NHS) digital library. Reflecting on lessons learnt evaluation of a National Health Service (NHS) digital library that found users satisfied with usability1 Digital service analysis and design: the role of process modelling Steven Buchanan* Department
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 in examining the possibility to create a reliable stand-alone hybrid generation system composed of photovoltaic/wind-generator systems zhixing zhang 2013/5/30 Explore the possibility for supplying electricity using solar/wind hybrid
13C NMR Analysis of Soot Produced from Model Compounds and a Coal
Utah, University of
13C NMR Analysis of Soot Produced from Model Compounds and a Coal Mark S. Solum, Adel F. Sarofim. The evolution of the different materials in the gas phase followed different paths. The coal derived soots/components of soot is also of importance for many environmental reasons as it arises from the condensation
Analysis of Comair flight 5191 with the Functional Resonance Accident Model
Paris-Sud XI, UniversitĂ© de
Analysis of Comair flight 5191 with the Functional Resonance Accident Model Erik Hollnagel 1 Abstract The goal of an accident investigation is to determine why a certain combination of conditions, events, and actions led to the specific outcome. Accidents in complex high risk operations
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
Human-robot interactions: model-based risk analysis and safety case construction
Guiochet, Jérémie
Human-robot interactions: model-based risk analysis and safety case construction Quynh Anh DO HOANG potential threats related to physical human-robot interactions and to assess the associated risks that might affect safety and dependability. Because of the complexity of human-robot interactions, rigorous
Regression Models for Demand Reduction based on Cluster Analysis of Load Profiles
Yamaguchi, Nobuyuki; Han, Junqiao; Ghatikar, Girish; Piette, Mary Ann; Asano, Hiroshi; Kiliccote, Sila
2009-06-28T23:59:59.000Z
This paper provides new regression models for demand reduction of Demand Response programs for the purpose of ex ante evaluation of the programs and screening for recruiting customer enrollment into the programs. The proposed regression models employ load sensitivity to outside air temperature and representative load pattern derived from cluster analysis of customer baseline load as explanatory variables. The proposed models examined their performances from the viewpoint of validity of explanatory variables and fitness of regressions, using actual load profile data of Pacific Gas and Electric Company's commercial and industrial customers who participated in the 2008 Critical Peak Pricing program including Manual and Automated Demand Response.
Development of refined MCNPX-PARET multi-channel model for transient analysis in research reactors
Kalcheva, S.; Koonen, E. [SCK-CEN, BR2 Reactor Dept., Boeretang 200, 2400 Mol (Belgium); Olson, A. P. [RERTR Program, Nuclear Engineering Div., Argonne National Laboratory, Cass Avenue, Argonne, IL 60439 (United States)
2012-07-01T23:59:59.000Z
Reactivity insertion transients are often analyzed (RELAP, PARET) using a two-channel model, representing the hot assembly with specified power distribution and an average assembly representing the remainder of the core. For the analysis of protected by the reactor safety system transients and zero reactivity feedback coefficients this approximation proves to give adequate results. However, a more refined multi-channel model representing the various assemblies, coupled through the reactivity feedback effects to the whole reactor core is needed for the analysis of unprotected transients with excluded over power and period trips. In the present paper a detailed multi-channel PARET model has been developed which describes the reactor core in different clusters representing typical BR2 fuel assemblies. The distribution of power and reactivity feedback in each cluster of the reactor core is obtained from a best-estimate MCNPX calculation using the whole core geometry model of the BR2 reactor. The sensitivity of the reactor response to power, temperature and energy distributions is studied for protected and unprotected reactivity insertion transients, with zero and non-zero reactivity feedback coefficients. The detailed multi-channel model is compared vs. simplified fewer-channel models. The sensitivities of transient characteristics derived from the different models are tested on a few reactivity insertion transients with reactivity feedback from coolant temperature and density change. (authors)
TRACE/PARCS Core Modeling of a BWR/5 for Accident Analysis of ATWS Events
Cuadra A.; Baek J.; Cheng, L.; Aronson, A.; Diamond, D.; Yarsky, P.
2013-11-10T23:59:59.000Z
The TRACE/PARCS computational package [1, 2] isdesigned to be applicable to the analysis of light water reactor operational transients and accidents where the coupling between the neutron kinetics (PARCS) and the thermal-hydraulics and thermal-mechanics (TRACE) is important. TRACE/PARCS has been assessed for itsapplicability to anticipated transients without scram(ATWS) [3]. The challenge, addressed in this study, is to develop a sufficiently rigorous input model that would be acceptable for use in ATWS analysis. Two types of ATWS events were of interest, a turbine trip and a closure of main steam isolation valves (MSIVs). In the first type, initiated by turbine trip, the concern is that the core will become unstable and large power oscillations will occur. In the second type,initiated by MSIV closure,, the concern is the amount of energy being placed into containment and the resulting emergency depressurization. Two separate TRACE/PARCS models of a BWR/5 were developed to analyze these ATWS events at MELLLA+ (maximum extended load line limit plus)operating conditions. One model [4] was used for analysis of ATWS events leading to instability (ATWS-I);the other [5] for ATWS events leading to emergency depressurization (ATWS-ED). Both models included a large portion of the nuclear steam supply system and controls, and a detailed core model, presented henceforth.
A new balance-of-plant model for the SASSYS-1 LMR systems analysis code
Briggs, L.L. (Argonne National Lab., IL (USA))
1989-01-01T23:59:59.000Z
A balance-of-plant model has been added to the SASSYS-1 liquid metal reactor systems analysis code. Until this addition, the only waterside component which SASSYS-1 could explicitly model was the water side of a steam generator, with the remainder of the water side represented by boundary conditions on the steam generator. The balance-of-plant model is based on the model used for the sodium side of the plant. It will handle subcooled liquid water, superheated steam, and saturated two-phase fluid. With the exception of heated flow paths in heaters, the model assumes adiabatic conditions along flow paths; this assumption simplifies the solution procedure while introducing very little error for a wide range of reactor plant problems. Only adiabatic flow is discussed in this report. 3 refs., 4 figs.
RELAP5/MOD2 split reactor vessel model and steamline break analysis
Petelin, S.; Mavko, B.; Gortnar, O. (Univ. of Ljubljana, (Slovenia))
1993-04-01T23:59:59.000Z
A split reactor vessel model for the RELAP5/ MOD2 computer code is developed in an attempt to realize more realistic predictions of asymmetrical transients in a two-loop nuclear power plant. Based on this split reactor model, coolant mixing processes within the reactor vessel are examined. This study evaluates the model improvements in terms of thermal-hydraulic simulations of the reactor core inlet fluid condition and the consequent core behavior. Furthermore, the split reactor vessel model is introduced into an integral RELAP5/MOD2 power plant model, and a steamline break analysis is performed to determine the influence of the boron concentration in the boron injection tank on accident consequences.
Assessment of Models for Pedestrian Dynamics with Functional Principal Component Analysis
Chraibi, M; Gottschalk, H; Saadi, M; Seyfried, A
2015-01-01T23:59:59.000Z
Many agent based simulation approaches have been proposed for pedestrian flow. As such models are applied e.g.\\ in evacuation studies, the quality and reliability of such models is of vital interest. Pedestrian trajectories are functional data and thus functional principal component analysis is a natural tool to asses the quality of pedestrian flow models beyond average properties. In this article we conduct functional PCA for the trajectories of pedestrians passing through a bottleneck. We benchmark two agent based models of pedestrian flow against the experimental data using PCA average and stochastic features. Functional PCA proves to be an efficient tool to detect deviation between simulation and experiment and to asses quality of pedestrian models.
Wolpert, Robert L
Bayesian analysis of GARCH and stochastic volatility: modeling leverage, jumps and heavy for two broad major classes of varying volatility model, GARCH and stochastic volatility (SV) models-t errors yields the best performance among the competing models on the return data. Key words: GARCH, Heavy
Cole, Henry E.; Fullen, Robert E.
1980-09-01T23:59:59.000Z
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).
Uncertainty and sensitivity analysis of fission gas behavior in engineering-scale fuel modeling
G. Pastore; L.P. Swiler; J.D. Hales; S.R. Novascone; D.M. Perez; B.W. Spencer; L. Luzzi; P. Van Uffelen; R.L. Williamson
2014-10-01T23:59:59.000Z
The role of uncertainties in fission gas behavior calculations as part of engineering-scale nuclear fuel modeling is investigated using the BISON fuel performance code and a recently implemented physics-based model for the coupled fission gas release and swelling. Through the integration of BISON with the DAKOTA software, a sensitivity analysis of the results to selected model parameters is carried out based on UO2 single-pellet simulations covering different power regimes. The parameters are varied within ranges representative of the relative uncertainties and consistent with the information from the open literature. The study leads to an initial quantitative assessment of the uncertainty in fission gas behavior modeling with the parameter characterization presently available. Also, the relative importance of the single parameters is evaluated. Moreover, a sensitivity analysis is carried out based on simulations of a fuel rod irradiation experiment, pointing out a significant impact of the considered uncertainties on the calculated fission gas release and cladding diametral strain. The results of the study indicate that the commonly accepted deviation between calculated and measured fission gas release by a factor of 2 approximately corresponds to the inherent modeling uncertainty at high fission gas release. Nevertheless, higher deviations may be expected for values around 10% and lower. Implications are discussed in terms of directions of research for the improved modeling of fission gas behavior for engineering purposes.
Analysis of laser remote fusion cutting based on a mathematical model
Matti, R. S. [Department of Engineering Sciences and Mathematics, Luleĺ University of Technology, S-971 87 Luleĺ (Sweden); Department of Mechanical Engineering, College of Engineering, University of Mosul, Mosul (Iraq); Ilar, T.; Kaplan, A. F. H. [Department of Engineering Sciences and Mathematics, Luleĺ University of Technology, S-971 87 Luleĺ (Sweden)
2013-12-21T23:59:59.000Z
Laser remote fusion cutting is analyzed by the aid of a semi-analytical mathematical model of the processing front. By local calculation of the energy balance between the absorbed laser beam and the heat losses, the three-dimensional vaporization front can be calculated. Based on an empirical model for the melt flow field, from a mass balance, the melt film and the melting front can be derived, however only in a simplified manner and for quasi-steady state conditions. Front waviness and multiple reflections are not modelled. The model enables to compare the similarities, differences, and limits between laser remote fusion cutting, laser remote ablation cutting, and even laser keyhole welding. In contrast to the upper part of the vaporization front, the major part only slightly varies with respect to heat flux, laser power density, absorptivity, and angle of front inclination. Statistical analysis shows that for high cutting speed, the domains of high laser power density contribute much more to the formation of the front than for low speed. The semi-analytical modelling approach offers flexibility to simplify part of the process physics while, for example, sophisticated modelling of the complex focused fibre-guided laser beam is taken into account to enable deeper analysis of the beam interaction. Mechanisms like recast layer generation, absorptivity at a wavy processing front, and melt film formation are studied too.
Reduced order models for thermal analysis : final report : LDRD Project No. 137807.
Hogan, Roy E., Jr.; Gartling, David K.
2010-09-01T23:59:59.000Z
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.
The SMC (Short Model Coil) Nb3Sn Program: FE Analysis with 3D Modeling
Kokkinos, C; Guinchard, M; Karppinen, M; Manil, P; Perez, J C; Regis, F
2012-01-01T23:59:59.000Z
The SMC (Short Model Coil) project aims at testing superconducting coils in racetrack configuration, wound with Nb3Sn cable. The degradation of the magnetic properties of the cable is studied by applying different levels of pre-stress. It is an essential step in the validation of procedures for the construction of superconducting magnets with high performance conductor. Two SMC assemblies have been completed and cold tested in the frame of a European collaboration between CEA (FR), CERN and STFC (UK), with the technical support from LBNL (US). The second assembly showed remarkable good quench results, reaching a peak field of 12.5T. This paper details the new 3D modeling method of the SMC, implemented using the ANSYS® Workbench environment. Advanced computer-aided-design (CAD) tools are combined with multi-physics Finite Element Analyses (FEA), in the same integrated graphic interface, forming a fully parametric model that enables simulation driven development of the SMC project. The magnetic and structural ...
So, Hing-Cheung
SPEECH ENHANCEMENT IN CAR NOISE ENVIRONMENT BASED ON AN ANALYSIS- SYNTHESIS APPROACH USING HARMONIC Kong ABSTRACT This paper presents a speech enhancement method based on an analysis-synthesis framework analysis-synthesis based speech enhancement system, and give details in HNM modeling, parameter estimation
Gerkmann, Ralf
J. Theis, Computational Modeling in Biology, Institute of Bioinformatics and Systems BiologyTitle: From data analysis to network modeling, with applications in systems biology Author: Fabian at detailed models of the system of interest. Our application focus are biological networks, namely gene
Integration of Advanced Probabilistic Analysis Techniques with Multi-Physics Models
Cetiner, Mustafa Sacit; none,; Flanagan, George F. [ORNL] [ORNL; Poore III, Willis P. [ORNL] [ORNL; Muhlheim, Michael David [ORNL] [ORNL
2014-07-30T23:59:59.000Z
An integrated simulation platform that couples probabilistic analysis-based tools with model-based simulation tools can provide valuable insights for reactive and proactive responses to plant operating conditions. The objective of this work is to demonstrate the benefits of a partial implementation of the Small Modular Reactor (SMR) Probabilistic Risk Assessment (PRA) Detailed Framework Specification through the coupling of advanced PRA capabilities and accurate multi-physics plant models. Coupling a probabilistic model with a multi-physics model will aid in design, operations, and safety by providing a more accurate understanding of plant behavior. This represents the first attempt at actually integrating these two types of analyses for a control system used for operations, on a faster than real-time basis. This report documents the development of the basic communication capability to exchange data with the probabilistic model using Reliability Workbench (RWB) and the multi-physics model using Dymola. The communication pathways from injecting a fault (i.e., failing a component) to the probabilistic and multi-physics models were successfully completed. This first version was tested with prototypic models represented in both RWB and Modelica. First, a simple event tree/fault tree (ET/FT) model was created to develop the software code to implement the communication capabilities between the dynamic-link library (dll) and RWB. A program, written in C#, successfully communicates faults to the probabilistic model through the dll. A systems model of the Advanced Liquid-Metal Reactor–Power Reactor Inherently Safe Module (ALMR-PRISM) design developed under another DOE project was upgraded using Dymola to include proper interfaces to allow data exchange with the control application (ConApp). A program, written in C+, successfully communicates faults to the multi-physics model. The results of the example simulation were successfully plotted.
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMayDepartmentTestFeedEnergyUC Davis Models Geospatial Station Network
Use of model calibration to achieve high accuracy in analysis of computer networks
Frogner, Bjorn; Guarro, Sergio; Scharf, Guy
2004-05-11T23:59:59.000Z
A system and method are provided for creating a network performance prediction model, and calibrating the prediction model, through application of network load statistical analyses. The method includes characterizing the measured load on the network, which may include background load data obtained over time, and may further include directed load data representative of a transaction-level event. Probabilistic representations of load data are derived to characterize the statistical persistence of the network performance variability and to determine delays throughout the network. The probabilistic representations are applied to the network performance prediction model to adapt the model for accurate prediction of network performance. Certain embodiments of the method and system may be used for analysis of the performance of a distributed application characterized as data packet streams.
Dynamic nuclear renography kinetic analysis: Four-compartment model for assessing kidney function
Raswan, T. R., E-mail: tara.raissa@gmail.com; Haryanto, F., E-mail: tara.raissa@gmail.com [Department of Physics, Nuclear Physics and Biophysics Research Group, Institut Teknologi Bandung, Bandung (Indonesia)
2014-09-30T23:59:59.000Z
Dynamic nuclear renography method produces TACs of kidneys and bladder. Multiple TACs data can be further analyzed to obtain the overview of urinary system's condition. Tracer kinetic analysis was performed using four-compartment models. The system's model consist of four irreversible compartment with four transport constants (k1, k2, k3 and k4). The mathematical expressions of tracer's distributions is fitted to experimental data (TACs) resulting in model constants. This transport constants represent the urinary system behavior, and later can be used for analyzing system's condition. Different intervals of kinetics parameter are clearly shown by abnormal system with respect to the normal one. Furthermore, the system with delayed uptake has 82% lower uptake parameters (k1 and k2) than normal one. Meanwhile, the system with prolonged clearance time has its kinetics parameters k3 or k4 lower than the others. This model is promising for quantitatively describe urinary system's function especially if supplied with more data.
Comparative Analysis of Modeling Studies on China's Future Energy and Emissions Outlook
Zheng, Nina; Zhou, Nan; Fridley, David
2010-09-01T23:59:59.000Z
The past decade has seen the development of various scenarios describing long-term patterns of future Greenhouse Gas (GHG) emissions, with each new approach adding insights to our understanding of the changing dynamics of energy consumption and aggregate future energy trends. With the recent growing focus on China's energy use and emission mitigation potential, a range of Chinese outlook models have been developed across different institutions including in China's Energy Research Institute's 2050 China Energy and CO2 Emissions Report, McKinsey & Co's China's Green Revolution report, the UK Sussex Energy Group and Tyndall Centre's China's Energy Transition report, and the China-specific section of the IEA World Energy Outlook 2009. At the same time, the China Energy Group at Lawrence Berkeley National Laboratory (LBNL) has developed a bottom-up, end-use energy model for China with scenario analysis of energy and emission pathways out to 2050. A robust and credible energy and emission model will play a key role in informing policymakers by assessing efficiency policy impacts and understanding the dynamics of future energy consumption and energy saving and emission reduction potential. This is especially true for developing countries such as China, where uncertainties are greater while the economy continues to undergo rapid growth and industrialization. A slightly different assumption or storyline could result in significant discrepancies among different model results. Therefore, it is necessary to understand the key models in terms of their scope, methodologies, key driver assumptions and the associated findings. A comparative analysis of LBNL's energy end-use model scenarios with the five above studies was thus conducted to examine similarities and divergences in methodologies, scenario storylines, macroeconomic drivers and assumptions as well as aggregate energy and emission scenario results. Besides directly tracing different energy and CO{sub 2} savings potential back to the underlying strategies and combination of efficiency and abatement policy instruments represented by each scenario, this analysis also had other important but often overlooked findings.
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Users of the VEMAP Portal can access input files of numerical data that include monthly and daily files of geographic data, soil and site files, scenario files, etc. Model results from Phase I, the Equilibrium Response datasets, are available through the NCAR anonymous FTP site at http://www.cgd.ucar.edu/vemap/vresults.html. Phase II, Transient Dynamics, include climate datasets, models results, and analysis tools. Many supplemental files are also available from the main data page at http://www.cgd.ucar.edu/vemap/datasets.html.
Genetic Algorithms for Agent-Based Infrastructure Interdependency Modeling and Analysis
May Permann
2007-03-01T23:59:59.000Z
Today’s society relies greatly upon an array of complex national and international infrastructure networks such as transportation, electric power, telecommunication, and financial networks. This paper describes initial research combining agent-based infrastructure modeling software and genetic algorithms (GAs) to help optimize infrastructure protection and restoration decisions. This research proposes to apply GAs to the problem of infrastructure modeling and analysis in order to determine the optimum assets to restore or protect from attack or other disaster. This research is just commencing and therefore the focus of this paper is the integration of a GA optimization method with a simulation through the simulation’s agents.
Applications of Minkowski Functionals to the Statistical Analysis of Dark Matter Models
Michael Platzoeder; Thomas Buchert
1995-09-04T23:59:59.000Z
A new method for the statistical analysis of 3D point processes, based on the family of Minkowski functionals, is explained and applied to modelled galaxy distributions generated by a toy-model and cosmological simulations of the large-scale structure in the Universe. These measures are sensitive to both, geometrical and topological properties of spatial patterns and appear to be very effective in discriminating different point processes. Moreover by the means of conditional subsampling, different building blocks of large-scale structures like sheets, filaments and clusters can be detected and extracted from a given distribution.
Singularity free analysis of a self-similar model of proton structure function at small \\textit{x}
Baishali Saikia; D. K. Choudhury
2014-09-01T23:59:59.000Z
In this paper we make re-analysis of a self-similarity based model of the proton structure function at small \\textit{x} pursued in recent years. The additional assumption is that it should be singularity free in the entire kinematic range $0analysis indicates that the model is valid in a more restrictive range of $Q^{2}$. We also discuss the possibility of incorporation of Froissart saturation condition in the model.
Li, Ke
2012-02-14T23:59:59.000Z
of the requirements for the degree of DOCTOR OF PHILOSOPHY December 2010 Major Subject: Agricultural Economics Essays on Regression Spline Structural Nonparametric Stochastic Production Frontier Estimation and Ine ciency Analysis Models Copyright 2010 Ke Li... of the requirements for the degree of DOCTOR OF PHILOSOPHY Approved by: Chair of Committee, Ximing Wu Committee Members, David Bessler H. Alan Love Qi Li Head of Department, John P. Nichols December 2010 Major Subject: Agricultural Economics iii ABSTRACT...
Application of the Veneziano model to the analysis of three pion charmonium decays
Szczepaniak, Adam P; Pennington, Michael R [JLAB
2014-10-01T23:59:59.000Z
We adapt the Veneziano model to the analysis of vector charmonium decays. Starting from a set of covariant Veneziano terms we show how to construct partial waves amplitudes that receive contributions from selected Regge trajectories. The amplitudes, nevertheless retain the proper asymptotic limit. This arises from duality between directly produced resonances and cross-channel Reggeon and in practical applications helps remove uncertainties in the parametrization of backgrounds.
Renormalization Group Analysis of Finite-Size Scaling in the $?^4_4$ Model
R. Kenna; C. B. Lang
1992-10-08T23:59:59.000Z
A finite-size scaling theory for the $\\phi^4_4$ model is derived using renormalization group methods. Particular attention is paid to the partition function zeroes, in terms of which all thermodynamic observables can be expressed. While the leading scaling behaviour is identical to that of mean field theory, there exist multiplicative logarithmic corrections too. A non-perturbative test of these formulae in the form of a high precision Monte Carlo analysis reveals good quantitative agreement with the analytical predictions.
ANALYSIS OF TWO-PHASE FLOW MODELS WITH TWO MOMENTUM EQUATIONS.
KROSHILIN,A.E.KROSHILIN,V.E.KOHUT,P.
2004-03-15T23:59:59.000Z
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.
Statistical Analysis of Microgravity Two-Phase Slug Flow via the Drift Flux Model
Larsen, Benjamin A
2014-05-01T23:59:59.000Z
STATISTICAL ANALYSIS OF MICROGRAVITY TWO-PHASE SLUG FLOW VIA THE DRIFT FLUX MODEL A Thesis by BENJAMIN ANDREW LARSEN Submitted to the Office of Graduate and Professional Studies of Texas A&M University in partial fulfillment... made their data available to me and willingly took the time to converse about their work. Finally I would like to thank my parents Donald and Christine Larsen for their love and support in completing my graduate work. v NOMENCLATURE Symbol...
Statistical Analysis of Baseline Load Models for Non-Residential Buildings
Coughlin, Katie; Piette, Mary Ann; Goldman, Charles; Kiliccote, Sila
2008-11-10T23:59:59.000Z
Policymakers are encouraging the development of standardized and consistent methods to quantify the electric load impacts of demand response programs. For load impacts, an essential part of the analysis is the estimation of the baseline load profile. In this paper, we present a statistical evaluation of the performance of several different models used to calculate baselines for commercial buildings participating in a demand response program in California. In our approach, we use the model to estimate baseline loads for a large set of proxy event days for which the actual load data are also available. Measures of the accuracy and bias of different models, the importance of weather effects, and the effect of applying morning adjustment factors (which use data from the day of the event to adjust the estimated baseline) are presented. Our results suggest that (1) the accuracy of baseline load models can be improved substantially by applying a morning adjustment, (2) the characterization of building loads by variability and weather sensitivity is a useful indicator of which types of baseline models will perform well, and (3) models that incorporate temperature either improve the accuracy of the model fit or do not change it.
Environmental representation and the role of clouds in studies and analysis models
Hummel, J.R.; Campbell, A.P.
1997-10-01T23:59:59.000Z
The Joint Analysis community is currently making significant improvements and enhancements to its suite of modeling tools used to support studies and analyses for Joint applications. This effort is being performed under the Joint Analytic Model Improvement Program (JAMIP) that began in 1995. One part of the JAMIP effort is the development of the Joint Warfare System (JWARS). JWARS will be a state of the art closed-form, constructive simulation of multisided, joint warefare for analysis. The environment will be a significant factor in future warefare analysis and so JWARS will include an authoritative environmental representation that can be represented at variable spatial and temporal scales. Argonne`s Dynamic Environmental Effects Model (DEEM) was used to provide the environmental representation for the JWARS prototype effort. In this paper we will present an overview of JWARS and describe how the environment and environmental effects are being represented in JWARS. Specific emphasis will be given on how clouds are included in the JWARS environment and the impacts they have on the warfighting functionality included in JWARS.
Zhao, Jiao; Scheibe, Timothy D.; Mahadevan, Radhakrishnan
2011-01-24T23:59:59.000Z
Uranium contamination is a serious concern at several sites motivating the development of novel treatment strategies such as the Geobacter-mediated reductive immobilization of uranium. However, this bioremediation strategy has not yet been optimized for the sustained uranium removal. While several reactive-transport models have been developed to represent Geobacter-mediated bioremediation of uranium, these models often lack the detailed quantitative description of the microbial process (e.g., biomass build-up in both groundwater and sediments, electron transport system, etc.) and the interaction between biogeochemical and hydrological process. In this study, a novel multi-scale model was developed by integrating our recent model on electron capacitance of Geobacter (Zhao et al., 2010) with a comprehensive simulator of coupled fluid flow, hydrologic transport, heat transfer, and biogeochemical reactions. This mechanistic reactive-transport model accurately reproduces the experimental data for the bioremediation of uranium with acetate amendment. We subsequently performed global sensitivity analysis with the reactive-transport model in order to identify the main sources of prediction uncertainty caused by synergistic effects of biological, geochemical, and hydrological processes. The proposed approach successfully captured significant contributing factors across time and space, thereby improving the structure and parameterization of the comprehensive reactive-transport model. The global sensitivity analysis also provides a potentially useful tool to evaluate uranium bioremediation strategy. The simulations suggest that under difficult environments (e.g., highly contaminated with U(VI) at a high migration rate of solutes), the efficiency of uranium removal can be improved by adding Geobacter species to the contaminated site (bioaugmentation) in conjunction with the addition of electron donor (biostimulation). The simulations also highlight the interactive effect of initial cell concentration and flow rate on U(VI) reduction.
Whitehead, Camilla Dunham; McNeil, Michael; Dunham_Whitehead, Camilla; Letschert, Virginie; della_Cava, Mirka
2008-02-28T23:59:59.000Z
The U.S. Environmental Protection Agency (EPA) influences the market for plumbing fixtures and fittings by encouraging consumers to purchase products that carry the WaterSense label, which certifies those products as performing at low flow rates compared to unlabeled fixtures and fittings. As consumers decide to purchase water-efficient products, water consumption will decline nationwide. Decreased water consumption should prolong the operating life of water and wastewater treatment facilities.This report describes the method used to calculate national water savings attributable to EPA?s WaterSense program. A Microsoft Excel spreadsheet model, the National Water Savings (NWS) analysis model, accompanies this methodology report. Version 1.0 of the NWS model evaluates indoor residential water consumption. Two additional documents, a Users? Guide to the spreadsheet model and an Impacts Report, accompany the NWS model and this methodology document. Altogether, these four documents represent Phase One of this project. The Users? Guide leads policy makers through the spreadsheet options available for projecting the water savings that result from various policy scenarios. The Impacts Report shows national water savings that will result from differing degrees of market saturation of high-efficiency water-using products.This detailed methodology report describes the NWS analysis model, which examines the effects of WaterSense by tracking the shipments of products that WaterSense has designated as water-efficient. The model estimates market penetration of products that carry the WaterSense label. Market penetration is calculated for both existing and new construction. The NWS model estimates savings based on an accounting analysis of water-using products and of building stock. Estimates of future national water savings will help policy makers further direct the focus of WaterSense and calculate stakeholder impacts from the program.Calculating the total gallons of water the WaterSense program saves nationwide involves integrating two components, or modules, of the NWS model. Module 1 calculates the baseline national water consumption of typical fixtures, fittings, and appliances prior to the program (as described in Section 2.0 of this report). Module 2 develops trends in efficiency for water-using products both in the business-as-usual case and as a result of the program (Section 3.0). The NWS model combines the two modules to calculate total gallons saved by the WaterSense program (Section 4.0). Figure 1 illustrates the modules and the process involved in modeling for the NWS model analysis.The output of the NWS model provides the base case for each end use, as well as a prediction of total residential indoor water consumption during the next two decades. Based on the calculations described in Section 4.0, we can project a timeline of water savings attributable to the WaterSense program. The savings increase each year as the program results in the installation of greater numbers of efficient products, which come to compose more and more of the product stock in households throughout the United States.
. Â The current capital costs for the hydrogen pipelines in the model are based on 1.1X the price of steel naturalJoint Meeting on Hydrogen Delivery Modeling and Analysis FreedomCAR and Fuels Partnership Hydrogen be prioritized) by mid-2008 H2A Delivery Model: Discussion Items, Comments, and Follow-up Actions 1. Pipeline
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
Model Development and Loads Analysis of a Wind Turbine on a Floating Offshore Tension Leg Platform
Matha, D.; Fischer, T.; Kuhn, M.; Jonkman, J.
2010-02-01T23:59:59.000Z
This report presents results of the analysis of a 5-MW wind turbine located on a floating offshore tension leg platform (TLP) that was conducted using the fully coupled time-domain aero-hydro-servo-elastic design code FAST with AeroDyn and HydroDyn. Models in this code are of greater fidelity than most of the models that have been used to analyze floating turbines in the past--which have neglected important hydrodynamic and mooring system effects. The report provides a description of the development process of a TLP model, which is a modified version of a Massachusetts Institute of Technology design derived from a parametric linear frequency-domain optimization process. An extensive loads and stability analysis for ultimate and fatigue loads according to the procedure of the International Electrotechnical Commission offshore wind turbine design standard was performed with the verified TLP model. Response statistics, extreme event tables, fatigue lifetimes, and selected time histories of design-driving extreme events are analyzed and presented. Loads for the wind turbine on the TLP are compared to those of an equivalent land-based turbine in terms of load ratios. Major instabilities for the TLP are identified and described.
Supercomputer and cluster performance modeling and analysis efforts:2004-2006.
Sturtevant, Judith E.; Ganti, Anand; Meyer, Harold (Hal) 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
2007-02-01T23:59:59.000Z
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.
Not Available
1988-12-15T23:59:59.000Z
This section of the Accident Model Document (AMD) presents the appendices which describe the various analyses that have been conducted for use in the Galileo Final Safety Analysis Report II, Volume II. Included in these appendices are the approaches, techniques, conditions and assumptions used in the development of the analytical models plus the detailed results of the analyses. Also included in these appendices are summaries of the accidents and their associated probabilities and environment models taken from the Shuttle Data Book (NSTS-08116), plus summaries of the several segments of the recent GPHS safety test program. The information presented in these appendices is used in Section 3.0 of the AMD to develop the Failure/Abort Sequence Trees (FASTs) and to determine the fuel releases (source terms) resulting from the potential Space Shuttle/IUS accidents throughout the missions.
Georgevich, V.; Kim, S.H.; Taleyarkhan, R.P.; Jackson, S.
1992-10-01T23:59:59.000Z
This paper describes work done at the Oak Ridge National Laboratory (ORNL) for evaluating the potential and resulting consequences of a hypothetical criticality accident during refueling of the 330-MW Advanced Neutron Source (ANS) research reactor. The development of an analytical capability is described. Modeling and problem formulation were conducted using concepts of reactor neutronic theory for determining power level escalation, coupled with ORIGEN and MELCOR code simulations for radionuclide buildup and containment transport Gaussian plume transport modeling was done for determining off-site radiological consequences. Nuances associated with modeling this blast-type scenario are described. Analysis results for ANS containment response under a variety of postulated scenarios and containment failure modes are presented. It is demonstrated that individuals at the reactor site boundary will not receive doses beyond regulatory limits for any of the containment configurations studied.
Advanced statistical methods for eye movement analysis and modeling: a gentle introduction
Boccignone, Giuseppe
2015-01-01T23:59:59.000Z
In this Chapter we show that by considering eye movements, and in particular, the resulting sequence of gaze shifts, a stochastic process, a wide variety of tools become available for analyses and modelling beyond conventional statistical methods. Such tools encompass random walk analyses and more complex techniques borrowed from the pattern recognition and machine learning fields. After a brief, though critical, probabilistic tour of current computational models of eye movements and visual attention, we lay down the basis for gaze shift pattern analysis. To this end, the concepts of Markov Processes, the Wiener process and related random walks within the Gaussian framework of the Central Limit Theorem will be introduced. Then, we will deliberately violate fundamental assumptions of the Central Limit Theorem to elicit a larger perspective, rooted in statistical physics, for analysing and modelling eye movements in terms of anomalous, non-Gaussian, random walks and modern foraging theory. Eventually, by resort...
Numeric-modeling sensitivity analysis of the performance of wind turbine arrays
Lissaman, P.B.S.; Gyatt, G.W.; Zalay, A.D.
1982-06-01T23:59:59.000Z
An evaluation of the numerical model created by Lissaman for predicting the performance of wind turbine arrays has been made. Model predictions of the wake parameters have been compared with both full-scale and wind tunnel measurements. Only limited, full-scale data were available, while wind tunnel studies showed difficulties in representing real meteorological conditions. Nevertheless, several modifications and additions have been made to the model using both theoretical and empirical techniques and the new model shows good correlation with experiment. The larger wake growth rate and shorter near wake length predicted by the new model lead to reduced interference effects on downstream turbines and hence greater array efficiencies. The array model has also been re-examined and now incorporates the ability to show the effects of real meteorological conditions such as variations in wind speed and unsteady winds. The resulting computer code has been run to show the sensitivity of array performance to meteorological, machine, and array parameters. Ambient turbulence and windwise spacing are shown to dominate, while hub height ratio is seen to be relatively unimportant. Finally, a detailed analysis of the Goodnoe Hills wind farm in Washington has been made to show how power output can be expected to vary with ambient turbulence, wind speed, and wind direction.
Psychosocial Modeling of Insider Threat Risk Based on Behavioral and Word Use Analysis
Greitzer, Frank L.; Kangas, Lars J.; Noonan, Christine F.; Brown, Christopher R.; Ferryman, Thomas A.
2013-10-01T23:59:59.000Z
In many insider crimes, managers and other coworkers observed that the offenders had exhibited signs of stress, disgruntlement, or other issues, but no alarms were raised. Barriers to using such psychosocial indicators include the inability to recognize the signs and the failure to record the behaviors so that they can be assessed. A psychosocial model was developed to assess an employee’s behavior associated with an increased risk of insider abuse. The model is based on case studies and research literature on factors/correlates associated with precursor behavioral manifestations of individuals committing insider crimes. A complementary Personality Factor modeling approach was developed based on analysis to derive relevant personality characteristics from word use. Several implementations of the psychosocial model were evaluated by comparing their agreement with judgments of human resources and management professionals; the personality factor modeling approach was examined using email samples. If implemented in an operational setting, these models should be part of a set of management tools for employee assessment to identify employees who pose a greater insider threat.
The Use Of Computational Human Performance Modeling As Task Analysis Tool
Jacuqes Hugo; David Gertman
2012-07-01T23:59:59.000Z
During a review of the Advanced Test Reactor safety basis at the Idaho National Laboratory, human factors engineers identified ergonomic and human reliability risks involving the inadvertent exposure of a fuel element to the air during manual fuel movement and inspection in the canal. There were clear indications that these risks increased the probability of human error and possible severe physical outcomes to the operator. In response to this concern, a detailed study was conducted to determine the probability of the inadvertent exposure of a fuel element. Due to practical and safety constraints, the task network analysis technique was employed to study the work procedures at the canal. Discrete-event simulation software was used to model the entire procedure as well as the salient physical attributes of the task environment, such as distances walked, the effect of dropped tools, the effect of hazardous body postures, and physical exertion due to strenuous tool handling. The model also allowed analysis of the effect of cognitive processes such as visual perception demands, auditory information and verbal communication. The model made it possible to obtain reliable predictions of operator performance and workload estimates. It was also found that operator workload as well as the probability of human error in the fuel inspection and transfer task were influenced by the concurrent nature of certain phases of the task and the associated demand on cognitive and physical resources. More importantly, it was possible to determine with reasonable accuracy the stages as well as physical locations in the fuel handling task where operators would be most at risk of losing their balance and falling into the canal. The model also provided sufficient information for a human reliability analysis that indicated that the postulated fuel exposure accident was less than credible.
LaRocca, Sarah; Hassel, Henrik; Guikema, Seth
2013-01-01T23:59:59.000Z
Critical infrastructure systems must be both robust and resilient in order to ensure the functioning of society. To improve the performance of such systems, we often use risk and vulnerability analysis to find and address system weaknesses. A critical component of such analyses is the ability to accurately determine the negative consequences of various types of failures in the system. Numerous mathematical and simulation models exist which can be used to this end. However, there are relatively few studies comparing the implications of using different modeling approaches in the context of comprehensive risk analysis of critical infrastructures. Thus in this paper, we suggest a classification of these models, which span from simple topologically-oriented models to advanced physical flow-based models. Here, we focus on electric power systems and present a study aimed at understanding the tradeoffs between simplicity and fidelity in models used in the context of risk analysis. Specifically, the purpose of this pa...
Integrated system modeling analysis of a cryogenic multi-cell deflecting-mode cavity resonator
Shin, Young-Min [Department of Physics, Northern Illinois University, Dekalb, Illinois 60115 (United States) [Department of Physics, Northern Illinois University, Dekalb, Illinois 60115 (United States); Fermi National Accelerator Laboratory, Batavia, Illinois 60510 (United States); Church, Michael [Fermi National Accelerator Laboratory, Batavia, Illinois 60510 (United States)] [Fermi National Accelerator Laboratory, Batavia, Illinois 60510 (United States)
2013-09-15T23:59:59.000Z
A deflecting mode cavity is the integral element for six-dimensional phase-space beam control in bunch compressors and emittance transformers at high energy beam test facilities. RF performance of a high-Q device is, however, highly sensitive to operational conditions, in particular in a cryo-cooling environment. Using analytic calculations and RF simulations, we examined cavity parameters and deflecting characteristics of TM{sub 110,?} mode of a 5 cell resonator in a liquid nitrogen cryostat, which has long been used at the Fermilab A0 Photoinjector (A0PI). The sensitivity analysis indicated that the cavity could lose 30%–40% of deflecting force due to defective input power coupling accompanying non-uniform field distribution across the cells with 40 ? 50 MeV electron beam and 70–80 kW klystron power. Vacuum-cryomodules of the 5 cell cavity are planned to be installed at the Fermilab Advanced Superconducting Test Accelerator facility. Comprehensive modeling analysis integrated with multi-physics simulation tools showed that RF loading of 1 ms can cause a ?5 K maximum temperature increase, corresponding to a ?4.3 ?m/ms deformation and a 1.32 MHz/K maximum frequency shift. The integrated system modeling analysis will improve design process of a high-Q cavity with more accurate prediction of cryogenic RF performance under a high power pulse operation.
Kirkeby, Janus T.; Birgisdottir, Harpa [Environment and Resources, Technical University of Denmark, DTU, Building 113, DK-2800 Kgs. Lyngby (Denmark); Bhander, Gurbakash Singh; Hauschild, Michael [Department of Manufacturing Engineering and Management, Technical University of Denmark, Building 424, DK-2800 Lyngby (Denmark); Christensen, Thomas H. [Environment and Resources, Technical University of Denmark, DTU, Building 113, DK-2800 Kgs. Lyngby (Denmark)], E-mail: thc@er.dtu.dk
2007-07-01T23:59:59.000Z
A new computer-based life-cycle assessment model (EASEWASTE) has been developed to evaluate resource and environmental consequences of solid waste management systems. This paper describes the landfilling sub-model used in the life-cycle assessment program EASEWASTE, and examines some of the implications of this sub-model. All quantities and concentrations of leachate and landfill gas can be modified by the user in order to bring them in agreement with the actual landfill that is assessed by the model. All emissions, except the generation of landfill gas, are process specific. The landfill gas generation is calculated on the basis of organic matter in the landfilled waste. A landfill assessment example is provided. For this example, the normalised environmental effects of landfill gas on global warming and photochemical smog are much greater than the environmental effects for landfill leachate or for landfill construction. A sensitivity analysis for this example indicates that the overall environmental impact is sensitive to the gas collection efficiency and the use of the gas, but not to the amount of leachate generated, or the amount of soil or liner material used in construction. The landfill model can be used for evaluating different technologies with different liners, gas and leachate collection efficiencies, and to compare the environmental consequences of landfilling with alternative waste treatment options such as incineration or anaerobic digestion.
Khangaonkar, Tarang; Yang, Zhaoqing
2011-01-01T23:59:59.000Z
Estuarine and coastal hydrodynamic processes are sometimes neglected in the design and planning of nearshore restoration actions. Despite best intentions, efforts to restore nearshore habitats can result in poor outcomes if circulation and transport which also affect freshwater-saltwater interactions are not properly addressed. Limitations due to current land use can lead to selection of sub-optimal restoration alternatives that may result in undesirable consequences, such as flooding, deterioration of water quality, and erosion, requiring immediate remedies and costly repairs. Uncertainty with achieving restoration goals, such as recovery of tidal exchange, supply of sediment and nutrients, and establishment of fish migration pathways, may be minimized by using numerical models designed for application to the nearshore environment. A high resolution circulation and transport model of the Puget Sound, in the state of Washington, was developed to assist with nearshore habitat restoration design and analysis, and to answer the question “can we achieve beneficial restoration outcomes at small local scale, as well as at a large estuary-wide scale?” The Puget Sound model is based on an unstructured grid framework to define the complex Puget Sound shoreline using a finite volume coastal ocean model (FVCOM). The capability of the model for simulating the important nearshore processes, such as circulation in complex multiple tidal channels, wetting and drying of tide flats, and water quality and sediment transport as part of restoration feasibility, are illustrated through examples of restoration projects in Puget Sound.
Science-Based Simulation Model of Human Performance for Human Reliability Analysis
Dana L. Kelly; Ronald L. Boring; Ali Mosleh; Carol Smidts
2011-10-01T23:59:59.000Z
Human reliability analysis (HRA), a component of an integrated probabilistic risk assessment (PRA), is the means by which the human contribution to risk is assessed, both qualitatively and quantitatively. However, among the literally dozens of HRA methods that have been developed, most cannot fully model and quantify the types of errors that occurred at Three Mile Island. Furthermore, all of the methods lack a solid empirical basis, relying heavily on expert judgment or empirical results derived in non-reactor domains. Finally, all of the methods are essentially static, and are thus unable to capture the dynamics of an accident in progress. The objective of this work is to begin exploring a dynamic simulation approach to HRA, one whose models have a basis in psychological theories of human performance, and whose quantitative estimates have an empirical basis. This paper highlights a plan to formalize collaboration among the Idaho National Laboratory (INL), the University of Maryland, and The Ohio State University (OSU) to continue development of a simulation model initially formulated at the University of Maryland. Initial work will focus on enhancing the underlying human performance models with the most recent psychological research, and on planning follow-on studies to establish an empirical basis for the model, based on simulator experiments to be carried out at the INL and at the OSU.
Ruth, M.; Diakov, V.; Goldsby, M. E.; Sa, T. J.
2010-12-01T23:59:59.000Z
It is commonly accepted that the introduction of hydrogen as an energy carrier for light-duty vehicles involves concomitant technological development of infrastructure elements, such as production, delivery, and consumption, all associated with certain emission levels. To analyze these at a system level, the suite of corresponding models developed by the United States Department of Energy and involving several national laboratories is combined in one macro-system model (MSM). The macro-system model is being developed as a cross-cutting analysis tool that combines a set of hydrogen technology analysis models. Within the MSM, a federated simulation framework is used for consistent data transfer between the component models. The framework is built to suit cross-model as well as cross-platform data exchange and involves features of 'over-the-net' computation.
Zhang, Qi, S.M. Massachusetts Institute of Technology
2008-01-01T23:59:59.000Z
While large scale diffusion of alternative fuel vehicles (AFVs) is widely anticipated, the mechanisms that determine their success or failure are ill understood. Analysis of an AFV transition model developed at MIT has ...
Song, Ahran
2012-10-19T23:59:59.000Z
and softening laws. In addition, a two-dimensional axisymmetric finite element model was built to simulate the actual experimental conditions, including both the global and local kinematics effects captured by 3D digital image correlation analysis...
Stanford University
Analysis and Modeling of Skywave Behavior Sherman Lo, Stanford University, Robert Wenzel, Booz Allen Hamilton, Per Enge, Stanford University 1.0 Introduction Skywave signals are an inherent part
Thermal analysis of pentaerythritol tetranitrate and development of a powder aging model
Brown, Geoffrey W [Los Alamos National Laboratory; Sandstrom, Mary M [Los Alamos National Laboratory; Giambra, Anna M [Los Alamos National Laboratory; Archuleta, Jose G [Los Alamos National Laboratory; Monroe, Deirde C [Los Alamos National Laboratory
2009-01-01T23:59:59.000Z
We have applied a range of different physical and thermal analysis techniques to characterize the thermal evolution of the specific surface area of pentaerythritol tetranitrate (PETN) powders. Using atomic force microscopy we have determined that the mass transfer mechanism leading to powder coarsening is probably sublimation and redeposition of PETN. Using thermogravimetric analysis we have measured vapor pressures of PETN powders whose aging will be simulated in future work. For one specific powder we have constructed an empirical model of the coarsening that is fit to specific surface area measurements at 60 C to 70 C to provide predictive capability of that powder's aging. Modulated differential scanning calorimetry and mass spectroscopy measurements highlight some of the thermal behavior of the powders and suggest that homologue-based eutectics and impurities are localized in the powder particles.
Burian, S. J. (Steven J.); Brown, M. J. (Michael J.); Ching, J. (Jason); Cheuk, M. L. (Mang Lung); Yuan, M. (May); McKinnon, A. T. (Andrew T.); Han, W. S. (Woo Suk)
2004-01-01T23:59:59.000Z
Accurate predictions of air quality and atmospheric dispersion at high spatial resolution rely on high fidelity predictions of mesoscale meteorological fields that govern transport and turbulence in urban areas. However, mesoscale meteorological models do not have the spatial resolution to directly simulate the fluid dynamics and thermodynamics in and around buildings and other urban structures that have been shown to modify micro- and mesoscale flow fields (e.g., see review by Bornstein 1987). Mesoscale models therefore have been adapted using numerous approaches to incorporate urban effects into the simulations (e.g., see reviews by Brown 2000 and Bornstein and Craig 2002). One approach is to introduce urban canopy parameterizations to approximate the drag, turbulence production, heating, and radiation attenuation induced by sub-grid scale buildings and urban surface covers (Brown 2000). Preliminary results of mesoscale meteorological and air quality simulations for Houston (Dupont et al. 2004) demonstrated the importance of introducing urban canopy parameterizations to produce results with high spatial resolution that accentuates variability, highlights important differences, and identifies critical areas. Although urban canopy parameterizations may not be applicable to all meteorological and dispersion models, they have been successfully introduced and demonstrated in many of the current operational and research mode mesoscale models, e.g., COAMPS (Holt et al. 2002), HOTMAC (Brown and Williams 1998), MM5 (e.g., Otte and Lacser 2001; Lacser and Otte 2002; Dupont et al. 2004), and RAMS (Rozoff et al. 2003). The primary consequence of implementing an urban parameterization in a mesoscale meteorological model is the need to characterize the urban terrain in greater detail. In general, urban terrain characterization for mesoscale modeling may be described as the process of collecting datasets of urban surface cover physical properties (e.g., albedo, emissivity) and morphology (i.e., ground elevation, building and tree height and geometry characteristics) and then processing the data to compute physical cover and morphological parameters. Many of the surface cover and morphological parameters required for mesoscale meteorological models are also needed by atmospheric dispersion models. Thus, most of the discussion below is relevant to both types of modeling. In this paper, the term urban morphological analysis will be used to define the component of urban terrain characterization concerned with the morphological parameters. Furthermore, the focus will be building morphological parameters; therefore, the term urban morphological analysis will refer exclusively to the task of inventorying, computing or estimating building morphological parameters. Several approaches to perform urban morphological analysis exist; however, all have in common three types of practice issues related to the uncertainty of (1) data, (2) parameter definitions and calculation methods, and (3) extrapolation techniques. The objective of this paper is to describe the state-of-the-practice of urban morphological analysis by reviewing the primary approaches presented in the literature and outlining and commenting on key aspects of the three types of practice issues listed above.
Kim, G.-H.; Pesaran, A.
2007-05-15T23:59:59.000Z
The objectives of this study are: (1) To develop 3D Li-Ion battery thermal abuse ''reaction'' models for cell and module analysis; (2) To understand the mechanisms and interactions between heat transfer and chemical reactions during thermal runaway for Li-Ion cells and modules; (3) To develop a tool and methodology to support the design of abuse-tolerant Li-Ion battery systems for PHEVs/HEVs; and (4) To help battery developers accelerate delivery of abuse-tolerant Li-Ion battery systems in support of the FreedomCAR's Energy Storage Program.
Core Analysis For The Development And Constraint Of Physical Models Of
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, clickInformationNew|Core Analysis At Geysers Area(Armstrong, Et Al.,Et
Paris-Sud XI, Université de
.uhp-nancy.fr,{philippe.weber}@esstin.uhp-nancy.fr Abstract: This paper proposes a methodology to develop a decision-making aid tool which purpose related to risk analysis and dependability which allow to forecast the gaps between nominal and non of an approach to formalize a model required to evaluate risk analysis, maintenance and dependability
Bak, Claus Leth
Abstract--This paper presents the harmonic analysis of offshore wind farm (OWF) models with full will be discussed based on measurements from offshore wind farm. Index Terms--full-rating converters, harmonic analysis, offshore wind farm, wind turbine, validation with measurements I. INTRODUCTION HE tendency
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
Wactlar, Howard D.
on blobs and trajectories output from this tracking system. In Zelnik-Manor and Irani (2001), dynamicArticulated Motion Modeling for Activity Analysis Jiang Gao, Robert T. Collins, Alexander G at a nursing home. 1. Introduction Much recent research has been focused on activity analysis in videos
Lazaro, M.
1989-06-01T23:59:59.000Z
The US Department of Energy is conducting the Weldon Spring Site Remedial Action Project under the Surplus Facilities Management Program (SFMP). The major goals of the SFMP are to eliminate potential hazards to the public and the environment that associated with contamination at SFMP sites and to make surplus property available for other uses to the extent possible. This report presents the results of analysis of available meteorological data from stations near the Weldon Spring site. Data that are most representative of site conditions are needed to accurately model the transport and dispersion of air pollutants associated with remedial activities. Such modeling will assist the development of mitigative measures. 17 refs., 12 figs., 6 tabs.
On Modeling and Analysis of MIMO Wireless Mesh Networks with Triangular Overlay Topology
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Cao, Zhanmao; Wu, Chase Q.; Zhang, Yuanping; Shiva, Sajjan G.; Gu, Yi
2015-01-01T23:59:59.000Z
Multiple input multiple output (MIMO) wireless mesh networks (WMNs) aim to provide the last-mile broadband wireless access to the Internet. Along with the algorithmic development for WMNs, some fundamental mathematical problems also emerge in various aspects such as routing, scheduling, and channel assignment, all of which require an effective mathematical model and rigorous analysis of network properties. In this paper, we propose to employ Cartesian product of graphs (CPG) as a multichannel modeling approach and explore a set of unique properties of triangular WMNs. In each layer of CPG with a single channel, we design a node coordinate scheme thatmore »retains the symmetric property of triangular meshes and develop a function for the assignment of node identity numbers based on their coordinates. We also derive a necessary-sufficient condition for interference-free links and combinatorial formulas to determine the number of the shortest paths for channel realization in triangular WMNs.« less
Wu, Xueran; Jacob, Birgit
2015-01-01T23:59:59.000Z
The controllability of advection-diffusion systems, subject to uncertain initial values and emission rates, is estimated, given sparse and error affected observations of prognostic state variables. In predictive geophysical model systems, like atmospheric chemistry simulations, different parameter families influence the temporal evolution of the system.This renders initial-value-only optimisation by traditional data assimilation methods as insufficient. In this paper, a quantitative assessment method on validation of measurement configurations to optimize initial values and emission rates, and how to balance them, is introduced. In this theoretical approach, Kalman filter and smoother and their ensemble based versions are combined with a singular value decomposition, to evaluate the potential improvement associated with specific observational network configurations. Further, with the same singular vector analysis for the efficiency of observations, their sensitivity to model control can be identified by deter...
Watney, W.L.
1994-12-01T23:59:59.000Z
Reservoirs in the Lansing-Kansas City limestone result from complex interactions among paleotopography (deposition, concurrent structural deformation), sea level, and diagenesis. Analysis of reservoirs and surface and near-surface analogs has led to developing a {open_quotes}strandline grainstone model{close_quotes} in which relative sea-level stabilized during regressions, resulting in accumulation of multiple grainstone buildups along depositional strike. Resulting stratigraphy in these carbonate units are generally predictable correlating to inferred topographic elevation along the shelf. This model is a valuable predictive tool for (1) locating favorable reservoirs for exploration, and (2) anticipating internal properties of the reservoir for field development. Reservoirs in the Lansing-Kansas City limestones are developed in both oolitic and bioclastic grainstones, however, re-analysis of oomoldic reservoirs provides the greatest opportunity for developing bypassed oil. A new technique, the {open_quotes}Super{close_quotes} Pickett crossplot (formation resistivity vs. porosity) and its use in an integrated petrophysical characterization, has been developed to evaluate extractable oil remaining in these reservoirs. The manual method in combination with 3-D visualization and modeling can help to target production limiting heterogeneities in these complex reservoirs and moreover compute critical parameters for the field such as bulk volume water. Application of this technique indicates that from 6-9 million barrels of Lansing-Kansas City oil remain behind pipe in the Victory-Northeast Lemon Fields. Petroleum geologists are challenged to quantify inferred processes to aid in developing rationale geologically consistent models of sedimentation so that acceptable levels of prediction can be obtained.
Combined Analysis of Two- and Three-Particle Correlations in q,p-Bose Gas Model
Alexandre M. Gavrilik
2006-11-07T23:59:59.000Z
q-deformed oscillators and the q-Bose gas model enable effective description of the observed non-Bose type behavior of the intercept ("strength") $\\lambda^{(2)}\\equiv C^{(2)}(K,K)-1$ of two-particle correlation function $C^{(2)}(p_1,p_2)$ of identical pions produced in heavy-ion collisions. Three- and n-particle correlation functions of pions (or kaons) encode more information on the nature of the emitting sources in such experiments. And so, the q-Bose gas model was further developed: the intercepts of n-th order correlators of q-bosons and the n-particle correlation intercepts within the q,p-Bose gas model have been obtained, the result useful for quantum optics, too. Here we present the combined analysis of two- and three-pion correlation intercepts for the q-Bose gas model and its q,p-extension, and confront with empirical data (from CERN SPS and STAR/RHIC) on pion correlations. Similar to explicit dependence of $\\lambda^{(2)}$ on mean momenta of particles (pions, kaons) found earlier, here we explore the peculiar behavior, versus mean momentum, of the 3-particle correlation intercept $\\lambda^{(3)}(K)$. The whole approach implies complete chaoticity of sources, unlike other joint descriptions of two- and three-pion correlations using two phenomenological parameters (e.g., core-halo fraction plus partial coherence of sources).
NONE
1994-07-01T23:59:59.000Z
The objective of GSAM development is to create a comprehensive, non-proprietary, microcomputer model of the North American natural gas system. GSAM explicitly evaluates the key components of the system, including the resource base, exploration and development practices, extraction technology performance and costs, project economics, transportation costs and restrictions, storage, and end-use. The primary focus is the detailed characterization of the resource base at the reservoir and sub-reservoir level. This disaggregation allows direct evaluation of alternative extraction technologies based on discretely estimated, individual well productivity, required investments, and associated operating costs. GSAM`s design allows users to evaluate complex interactions of current and alternative future technology and policy initiatives as they directly impact the gas market. Key activities completed during the past year include: conducted a comparative analysis of commercial reservoir databases; licensed and screened NRG Associates Significant Oil and Gas Fields of the US reservoir database; developed and tested reduced form reservoir model production type curves; fully developed database structures for use in GSAM and linkage to other systems; developed a methodology for the exploration module; collected and updated upstream capital and operating cost parameters; completed initial integration of downstream/demand models; presented research results at METC Contractor Review Meeting; conducted other briefings for METC managers, including initiation of the GSAM Environmental Module; and delivered draft topical reports on technology review, model review, and GSAM methodology.
Peterson, Kara J.; Bochev, Pavel Blagoveston; Paskaleva, Biliana S.
2010-09-01T23:59:59.000Z
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.
Model-Based Analysis of Electric Drive Options for Medium-Duty Parcel Delivery Vehicles: Preprint
Barnitt, R. A.; Brooker, A. D.; Ramroth, L.
2010-12-01T23:59:59.000Z
Medium-duty vehicles are used in a broad array of fleet applications, including parcel delivery. These vehicles are excellent candidates for electric drive applications due to their transient-intensive duty cycles, operation in densely populated areas, and relatively high fuel consumption and emissions. The National Renewable Energy Laboratory (NREL) conducted a robust assessment of parcel delivery routes and completed a model-based techno-economic analysis of hybrid electric vehicle (HEV) and plug-in hybrid electric vehicle configurations. First, NREL characterized parcel delivery vehicle usage patterns, most notably daily distance driven and drive cycle intensity. Second, drive-cycle analysis results framed the selection of drive cycles used to test a parcel delivery HEV on a chassis dynamometer. Next, measured fuel consumption results were used to validate simulated fuel consumption values derived from a dynamic model of the parcel delivery vehicle. Finally, NREL swept a matrix of 120 component size, usage, and cost combinations to assess impacts on fuel consumption and vehicle cost. The results illustrated the dependency of component sizing on drive-cycle intensity and daily distance driven and may allow parcel delivery fleets to match the most appropriate electric drive vehicle to their fleet usage profile.
Performance Task using Video Analysis and Modelling to promote K12 eight practices of science
Wee, Loo Kang
2015-01-01T23:59:59.000Z
We will share on the use of Tracker as a pedagogical tool in the effective learning and teaching of physics performance tasks taking root in some Singapore Grade 9 (Secondary 3) schools. We discuss the pedagogical use of Tracker help students to be like scientists in these 6 to 10 weeks where all Grade 9 students are to conduct a personal video analysis and where appropriate the 8 practices of sciences (1. ask question, 2. use models, 3. Plan and carry out investigation, 4. Analyse and interpret data, 5. Using mathematical and computational thinking, 6. Construct explanations, 7. Discuss from evidence and 8. Communicating information). We will situate our sharing on actual students work and discuss how tracker could be an effective pedagogical tool. Initial research findings suggest that allowing learners conduct performance task using Tracker, a free open source video analysis and modelling tool, guided by the 8 practices of sciences and engineering, could be an innovative and effective way to mentor authent...
Video Analysis and Modeling Performance Task to promote becoming like scientists in classrooms
Wee, Loo Kang
2015-01-01T23:59:59.000Z
This paper aims to share the use of Tracker a free open source video analysis and modeling tool that is increasingly used as a pedagogical tool for the effective learning and teaching of Physics for Grade 9 Secondary 3 students in Singapore schools to make physics relevant to the real world. We discuss the pedagogical use of Tracker, guided by the Framework for K-12 Science Education by National Research Council, USA to help students to be more like scientists. For a period of 6 to 10 weeks, students use a video analysis coupled with the 8 practices of sciences such as 1. Ask question, 2. Use models, 3. Plan and carry out investigation, 4. Analyse and interpret data, 5. Use mathematical and computational thinking, 6. Construct explanations, 7. Argue from evidence and 8. Communicate information. This papers focus in on discussing some of the performance task design ideas such as 3.1 flip video, 3.2 starting with simple classroom activities, 3.3 primer science activity, 3.4 integrative dynamics and kinematics l...
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
Peirce, Anthony
Analysis of the classical pseudo-3D model for hydraulic fracture with equilibrium height growth in revised form 13 February 2010 Accepted 10 March 2010 Keywords: Hydraulic fracture P3D Symmetric stress-called ``pseudo three-dimensional'' (P3D) model for a hydraulic fracture with equilibrium height growth across two
Paris-Sud XI, Université de
/Simulink simulations. Key words: power system harmonics, power electronic, linear time periodic modeling, PWM, control1 POWER ELECTRONICS HARMONIC ANALYSIS BASED ON THE LINEAR TIME PERIODIC MODELING. APPLICATIONS in power electronic systems. The considered system is described by a set of differential equations, which
Dyer, Bill
Systems Modeling and Analysis Industrial Engineers are interested in optimizing the design and operation of complex systems composed of people and machines using information, materials and energy to produce goods and services. Analyzing such systems with information-driven models is an essential step
Jiang, Boyang
2012-02-14T23:59:59.000Z
Experiment ........................................................... 6 1.3.2 Nearshore Canyon Experiment (NCEX) ..................................... 8 2. COMPARISON OF FIELD OBSERVATIONS AND MODEL EXPERIMENTS... ................................................................................................ 10 2.1 Model Parameters and Setup ................................................................ 10 2.2 Comparisons of Delft3D Output to Data .............................................. 11 3. ERROR ANALYSIS...
Bifurcation analysis and dimension reduction of a predator-prey model for the L-H transition
Dam, Magnus; Brřns, Morten [Department of Applied Mathematics and Computer Science, Technical University of Denmark, DK-2800 Kgs. Lyngby (Denmark)] [Department of Applied Mathematics and Computer Science, Technical University of Denmark, DK-2800 Kgs. Lyngby (Denmark); Juul Rasmussen, Jens; Naulin, Volker [Association Euratom-DTU, Department of Physics, Technical University of Denmark, DTU Risř Campus, DK-4000 Roskilde (Denmark)] [Association Euratom-DTU, Department of Physics, Technical University of Denmark, DTU Risř Campus, DK-4000 Roskilde (Denmark); Xu, Guosheng [Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031 (China)] [Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031 (China)
2013-10-15T23:59:59.000Z
The L-H transition denotes a shift to an improved confinement state of a toroidal plasma in a fusion reactor. A model of the L-H transition is required to simulate the time dependence of tokamak discharges that include the L-H transition. A 3-ODE predator-prey type model of the L-H transition is investigated with bifurcation theory of dynamical systems. The analysis shows that the model contains three types of transitions: an oscillating transition, a sharp transition with hysteresis, and a smooth transition. The model is recognized as a slow-fast system. A reduced 2-ODE model consisting of the full model restricted to the flow on the critical manifold is found to contain all the same dynamics as the full model. This means that all the dynamics in the system is essentially 2-dimensional, and a minimal model of the L-H transition could be a 2-ODE model.
Helton, J.C. [Arizona State Univ., Tempe, AZ (United States); Johnson, J.D. [GRAM, Inc., Albuquerque, NM (United States); McKay, M.D. [Los Alamos National Lab., NM (United States); Shiver, A.W.; Sprung, J.L. [Sandia National Labs., Albuquerque, NM (United States)
1995-01-01T23:59:59.000Z
Uncertainty and sensitivity analysis techniques based on Latin hypercube sampling, partial correlation analysis and stepwise regression analysis are used in an investigation with the MACCS model of the early health effects associated with a severe accident at a nuclear power station. The primary purpose of this study is to provide guidance on the variables to be considered in future review work to reduce the uncertainty in the important variables used in the calculation of reactor accident consequences. The effects of 34 imprecisely known input variables on the following reactor accident consequences are studied: number of early fatalities, number of cases of prodromal vomiting, population dose within 10 mi of the reactor, population dose within 1000 mi of the reactor, individual early fatality probability within 1 mi of the reactor, and maximum early fatality distance. When the predicted variables are considered collectively, the following input variables were found to be the dominant contributors to uncertainty: scaling factor for horizontal dispersion, dry deposition velocity, inhalation protection factor for nonevacuees, groundshine shielding factor for nonevacuees, early fatality hazard function alpha value for bone marrow exposure, and scaling factor for vertical dispersion.
Development of a natural gas systems analysis model (GSAM). Annual report, July 1994--June 1995
NONE
1995-07-01T23:59:59.000Z
North American natural gas markets have changed dramatically over the past decade. A competitive, cost-conscious production, transportation, and distribution system has emerged from the highly regulated transportation wellhead pricing structure of the 1980`s. Technology advances have played an important role in the evolution of the gas industry, a role likely to expand substantially as alternative fuel price competition and a maturing natural gas resource base force operators to maximize efficiency. Finally, significant changes continue in regional gas demand patterns, industry practices, and infrastructure needs. As the complexity of the gas system grows so does the need to evaluate and plan for alternative future resource, technology, and market scenarios. Traditional gas modeling systems focused solely on the econometric aspects of gas marketing. These systems, developed to assess a regulated industry at a high level of aggregation, rely on simple representation of complex and evolving systems, thereby precluding insight into how the industry will change over time. Credible evaluations of specific policy initiatives and research activities require a different approach. Also, the mounting pressure on energy producers from environmental compliance activities requires development of analysis that incorporates relevant geologic, engineering, and project economic details. The objective of policy, research and development (R&D), and market analysis is to integrate fundamental understanding of natural gas resources, technology, and markets to fully describe the potential of the gas resource under alternative future scenarios. This report summarizes work over the past twelve months on DOE Contract DE-AC21-92MC28138, Development of a Natural Gas Systems Analysis Model (GSAM). The products developed under this project directly support the Morgantown Energy Technology Center (METC) in carrying out its natural gas R&D mission.
End-to-End Models for Effects of System Noise on LIMS Analysis of Igneous Rocks
Clegg, Samuel M [Los Alamos National Laboratory; Bender, Steven [Los Alamos National Laboratory; Wiens, R. C. [Los Alamos National Laboratory; Carmosino, Marco L [MT. HOLYOKE COLLEGE; Speicher, Elly A [MT. HOLYOKE COLLEGE; Dyar, M. D. [MT. HOLYOKE COLLEGE
2010-12-23T23:59:59.000Z
The ChemCam instrument on the Mars Science Laboratory will be the first extraterrestial deployment of laser-induced breakdown spectroscopy (UBS) for remote geochemical analysis. LIBS instruments are also being proposed for future NASA missions. In quantitative LIBS applications using multivariate analysis techniques, it is essential to understand the effects of key instrument parameters and their variability on the elemental predictions. Baseline experiments were run on a laboratory instrument in conditions reproducing ChemCam performance on Mars. These experiments employed Nd:YAG laser producing 17 mJ/pulse on target and an with a 200 {micro}m FWHM spot size on the surface of a sample. The emission is collected by a telescope, imaged on a fiber optic and then interfaced to a demultiplexer capable of >40% transmission into each spectrometer. We report here on an integrated end-to-end system performance model that simulates the effects of output signal degradation that might result from the input signal chain and the impact on multivariate model predictions. There are two approaches to modifying signal to noise (SNR): degrade the signal and/or increase the noise. Ishibashi used a much smaller data set to show that the addition of noise had significant impact while degradation of spectral resolution had much less impact on accuracy and precision. Here, we specifically focus on aspects of remote LIBS instrument performance as they relate to various types of signal degradation. To assess the sensitivity of LIBS analysis to signal-to-noise ratio (SNR) and spectral resolution, the signal in each spectrum from a suite of 50 laboratory spectra of igneous rocks was variably degraded by increasing the peak widths (simulating misalignment) and decreasing the spectral amplitude (simulating decreases in SNR).
Dickmander, D.L.; Peterson, K.J.
1989-04-01T23:59:59.000Z
The harmonic analysis of the dc-side of an HVDC line transmission requires realistic models of the converters, the dc line, and other relevant equipment. These models must include all important paths for harmonic current, and appropriate sources of harmonic voltage generation. The classical converter modeling technique has been demonstrated to be insufficient in field measurements and analysis of the harmonic spectra found on recent HVDC line transmission. For this reason, a new model of the converter bridge which takes into account the major stray capacitances in the converter (the three-pulse model) has been developed, and is described in detail elsewhere. This paper presents comparisons between the classical and three-pulse calculations for the Intermountain Power Project (IPP) HVDC transmission. The calculation results from the three-pulse model agree favorably with the harmonics found in field measurements.
Blair, N.
2010-01-01T23:59:59.000Z
and Renewable Energy (Office of) Energy Information Administration Energy Modeling Forum Environmental Protection Agency Federal
Blair, N.
2010-01-01T23:59:59.000Z
photovoltaics renewable energy renewable energy certificate Regional Energy Deployment System model Renewable Energy and Efficiency
Non-LTE model atmosphere analysis of the early ultraviolet spectra of nova OS Andromedae 1986
Greg Schwarz; Peter H. Hauschildt; Sumner Starrfield; Eddie Baron; France Allard; Steve Shore; George Sonneborn
1996-08-29T23:59:59.000Z
We have analyzed the early optically thick ultraviolet spectra of Nova OS And 1986 using a grid of spherically symmetric, non-LTE, line-blanketed, expanding model atmospheres and synthetic spectra with the following set of parameters: $5,000\\le$ T$_{model}$ $\\le 60,000$K, solar abundances, $\\rho \\propto r^{-3}$, $\\v_{max} = 2000\\kms$, $L=6 \\times 10^{4}\\Lsun$, and a statistical or microturbulent velocity of 50 $\\kms$. We used the synthetic spectra to estimate the model parameters corresponding to the observed {\\it IUE} spectra. The fits to the observations were then iteratively improved by changing the parameters of the model atmospheres, in particular T$_{model}$ and the abundances, to arrive at the best fits to the optically thick pseudo-continuum and the features found in the {\\it IUE} spectra. The {\\it IUE} spectra show two different optically thick subphases. The earliest spectra, taken a few days after maximum optical light, show a pseudo-continuum created by overlapping absorption lines. The later observations, taken approximately 3 weeks after maximum light, show the simultaneous presence of allowed, semi-forbidden, and forbidden lines in the observed spectra. Analysis of these phases indicate that OS And 86 had solar metallicities except for Mg which showed evidence of being underabundant by as much as a factor of 10. We determine a distance of 5.1 kpc to OS And 86 and derive a peak bolometric luminosity of $\\sim$ 5 $\\times$ 10$^4$ L$_{\\odot}$. The computed nova parameters provide insights into the physics of the early outburst and explain the spectra seen by {\\it IUE}. Lastly, we find evidence in the later observations for large non-LTE effects of Fe{\\sc ii} which, when included, lead to much better agreement with the observations.
Estimating Loss-of-Coolant Accident Frequencies for the Standardized Plant Analysis Risk Models
S. A. Eide; D. M. Rasmuson; C. L. Atwood
2008-09-01T23:59:59.000Z
The U.S. Nuclear Regulatory Commission maintains a set of risk models covering the U.S. commercial nuclear power plants. These standardized plant analysis risk (SPAR) models include several loss-of-coolant accident (LOCA) initiating events such as small (SLOCA), medium (MLOCA), and large (LLOCA). All of these events involve a loss of coolant inventory from the reactor coolant system. In order to maintain a level of consistency across these models, initiating event frequencies generally are based on plant-type average performance, where the plant types are boiling water reactors and pressurized water reactors. For certain risk analyses, these plant-type initiating event frequencies may be replaced by plant-specific estimates. Frequencies for SPAR LOCA initiating events previously were based on results presented in NUREG/CR-5750, but the newest models use results documented in NUREG/CR-6928. The estimates in NUREG/CR-6928 are based on historical data from the initiating events database for pressurized water reactor SLOCA or an interpretation of results presented in the draft version of NUREG-1829. The information in NUREG-1829 can be used several ways, resulting in different estimates for the various LOCA frequencies. Various ways NUREG-1829 information can be used to estimate LOCA frequencies were investigated and this paper presents two methods for the SPAR model standard inputs, which differ from the method used in NUREG/CR-6928. In addition, results obtained from NUREG-1829 are compared with actual operating experience as contained in the initiating events database.
Modeling and sensitivity analysis of electron capacitance for Geobacter in sedimentary environments
Zhao, Jiao; Fang, Yilin; Scheibe, Timothy D.; Lovley, Derek R.; Mahadevan, Radhakrishnan
2010-03-01T23:59:59.000Z
In situ stimulation of the metabolic activity of Geobacter species through acetate amendment has been shown to be a promising bioremediation strategy to reduce and immobilize hexavalent uranium [U(VI)] as insoluble U(IV). Although Geobacter species are reducing U(VI), they primarily grow via Fe(III) reduction. Unfortunately, the biogeochemistry and the physiology of simultaneous reduction of multiple metals are still poorly understood. A detailed model is therefore required to better understand the pathways leading to U(VI) and Fe(III) reduction by Geobacter species. Based on recent experimental evidence of temporary electron sinks in Geobacter we propose a novel kinetic model that physically distinguishes Geobacter species into neutral and electron-charged states. This model shows that the existence of an electron load-unload cycle might be responsible for efficient U(VI) reduction, and elucidates the relationship between U(VI) and Fe(III)-reducing activity and further explains the correlation of high U(VI) removal with high proportions of Geobacter species in a planktonic state in groundwater. Global sensitivity analysis was used to validate the beneficial effects of electron capacitance and determine the level of importance and interactions of physicochemical and biogeochemical processes controlling Geobacter growth and U(VI) reduction. As compared with current modeling approaches in which biomass is often assumed to maintain the same metabolic state over all conditions, the structured two-state model accounts for important aspects of the dynamic electron capacitance of subsurface Geobacter, thereby facilitating further applications in the optimal bioremediation design strategy.
Multiphase modeling and qualitative analysis of the growth of tumor cords
Andrea Tosin
2009-06-27T23:59:59.000Z
In this paper a macroscopic model of tumor cord growth is developed, relying on the mathematical theory of deformable porous media. Tumor is modeled as a saturated mixture of proliferating cells, extracellular fluid and extracellular matrix, that occupies a spatial region close to a blood vessel whence cells get the nutrient needed for their vital functions. Growth of tumor cells takes place within a healthy host tissue, which is in turn modeled as a saturated mixture of non-proliferating cells. Interactions between these two regions are accounted for as an essential mechanism for the growth of the tumor mass. By weakening the role of the extracellular matrix, which is regarded as a rigid non-remodeling scaffold, a system of two partial differential equations is derived, describing the evolution of the cell volume ratio coupled to the dynamics of the nutrient, whose higher and lower concentration levels determine proliferation or death of tumor cells, respectively. Numerical simulations of a reference two-dimensional problem are shown and commented, and a qualitative mathematical analysis of some of its key issues is proposed.
Evaluating Domestic Hot Water Distribution System Options With Validated Analysis Models
Weitzel, E.; Hoeschele, M.
2014-09-01T23:59:59.000Z
A developing body of work is forming that collects data on domestic hot water consumption, water use behaviors, and energy efficiency of various distribution systems. A full distribution system developed in TRNSYS has been validated using field monitoring data and then exercised in a number of climates to understand climate impact on performance. This study builds upon previous analysis modelling work to evaluate differing distribution systems and the sensitivities of water heating energy and water use efficiency to variations of climate, load, distribution type, insulation and compact plumbing practices. Overall 124 different TRNSYS models were simulated. Of the configurations evaluated, distribution losses account for 13-29% of the total water heating energy use and water use efficiency ranges from 11-22%. The base case, an uninsulated trunk and branch system sees the most improvement in energy consumption by insulating and locating the water heater central to all fixtures. Demand recirculation systems are not projected to provide significant energy savings and in some cases increase energy consumption. Water use is most efficient with demand recirculation systems, followed by the insulated trunk and branch system with a central water heater. Compact plumbing practices and insulation have the most impact on energy consumption (2-6% for insulation and 3-4% per 10 gallons of enclosed volume reduced). The results of this work are useful in informing future development of water heating best practices guides as well as more accurate (and simulation time efficient) distribution models for annual whole house simulation programs.
Evans, J.S.; Moeller, D.W.; Cooper, D.W.
1985-07-01T23:59:59.000Z
Analysis of the radiological health effects of nuclear power plant accidents requires models for predicting early health effects, cancers and benign thyroid nodules, and genetic effects. Since the publication of the Reactor Safety Study, additional information on radiological health effects has become available. This report summarizes the efforts of a program designed to provide revised health effects models for nuclear power plant accident consequence modeling. The new models for early effects address four causes of mortality and nine categories of morbidity. The models for early effects are based upon two parameter Weibull functions. They permit evaluation of the influence of dose protraction and address the issue of variation in radiosensitivity among the population. The piecewise-linear dose-response models used in the Reactor Safety Study to predict cancers and thyroid nodules have been replaced by linear and linear-quadratic models. The new models reflect the most recently reported results of the follow-up of the survivors of the bombings of Hiroshima and Nagasaki and permit analysis of both morbidity and mortality. The new models for genetic effects allow prediction of genetic risks in each of the first five generations after an accident and include information on the relative severity of various classes of genetic effects. The uncertainty in modeloling radiological health risks is addressed by providing central, upper, and lower estimates of risks. An approach is outlined for summarizing the health consequences of nuclear power plant accidents. 298 refs., 9 figs., 49 tabs.
Haihua Zhao; Per F. Peterson
2010-10-01T23:59:59.000Z
Thermal mixing and stratification phenomena play major roles in the safety of reactor systems with large enclosures, such as containment safety in current fleet of LWRs, long-term passive containment cooling in Gen III+ plants including AP-1000 and ESBWR, the cold and hot pool mixing in pool type sodium cooled fast reactor systems (SFR), and reactor cavity cooling system behavior in high temperature gas cooled reactors (HTGR), etc. Depending on the fidelity requirement and computational resources, 0-D steady state models (heat transfer correlations), 0-D lumped parameter based transient models, 1-D physical-based coarse grain models, and 3-D CFD models are available. Current major system analysis codes either have no models or only 0-D models for thermal stratification and mixing, which can only give highly approximate results for simple cases. While 3-D CFD methods can be used to analyze simple configurations, these methods require very fine grid resolution to resolve thin substructures such as jets and wall boundaries. Due to prohibitive computational expenses for long transients in very large volumes, 3-D CFD simulations remain impractical for system analyses. For mixing in stably stratified large enclosures, UC Berkeley developed 1-D models basing on Zuber’s hierarchical two-tiered scaling analysis (HTTSA) method where the ambient fluid volume is represented by 1-D transient partial differential equations and substructures such as free or wall jets are modeled with 1-D integral models. This allows very large reductions in computational effort compared to 3-D CFD modeling. This paper will present an overview on important thermal mixing and stratification phenomena in large enclosures for different reactors, major modeling methods and their advantages and limits, potential paths to improve simulation capability and reduce analysis uncertainty in this area for advanced reactor system analysis tools.
CHEMICAL ANALYSIS OF SIMULATED HIGH LEVEL WASTE GLASSES TO SUPPORT SULFATE SOLUBILITY MODELING
Fox, K.; Marra, J.
2014-08-14T23:59:59.000Z
The U.S. Department of Energy (DOE), Office of Environmental Management (EM) is sponsoring an international, collaborative project to develop a fundamental model for sulfate solubility in nuclear waste glass. The solubility of sulfate has a significant impact on the achievable waste loading for nuclear waste forms both within the DOE complex and to some extent at U.K. sites. The development of enhanced borosilicate glass compositions with improved sulfate solubility will allow for higher waste loadings and accelerated cleanup missions. Much of the previous work on improving sulfate retention in waste glasses has been done on an empirical basis, making it difficult to apply the findings to future waste compositions despite the large number of glass systems studied. A more fundamental, rather than empirical, model of sulfate solubility in glass, under development at Sheffield Hallam University (SHU), could provide a solution to the issues of sulfate solubility. The model uses the normalized cation field strength index as a function of glass composition to predict sulfate capacity, and has shown early success for some glass systems. The objective of the current scope is to mature the sulfate solubility model to the point where it can be used to guide glass composition development for DOE waste vitrification efforts, allowing for enhanced waste loadings and waste throughput. A series of targeted glass compositions was selected to resolve data gaps in the current model. SHU fabricated these glasses and sent samples to the Savannah River National Laboratory (SRNL) for chemical composition analysis. SHU will use the resulting data to enhance the sulfate solubility model and resolve any deficiencies. In this report, SRNL provides chemical analyses for simulated waste glasses fabricated SHU in support of sulfate solubility model development. A review of the measured compositions revealed that there are issues with the B{sub 2}O{sub 3} and Fe{sub 2}O{sub 3} concentrations missing their targeted values by a significant amount for several of the study glasses. SHU is reviewing the fabrication of these glasses and the chemicals used in batching them to identify the source of these issues. The measured sulfate concentrations were all below their targeted values. This is expected, as the targeted concentrations likely exceeded the solubility limit for sulfate in these glass compositions. Some volatilization of sulfate may also have occurred during fabrication of the glasses. Measurements of the other oxides in the study glasses were reasonably close to their targeted values
Tracking and Analysis Framework (TAF) model documentation and user`s guide
Bloyd, C.; Camp, J.; Conzelmann, G. [and others
1996-12-01T23:59:59.000Z
With passage of the 1990 Clean Air Act Amendments, the United States embarked on a policy for controlling acid deposition that has been estimated to cost at least $2 billion. Title IV of the Act created a major innovation in environmental regulation by introducing market-based incentives - specifically, by allowing electric utility companies to trade allowances to emit sulfur dioxide (SO{sub 2}). The National Acid Precipitation Assessment Program (NAPAP) has been tasked by Congress to assess what Senator Moynihan has termed this {open_quotes}grand experiment.{close_quotes} Such a comprehensive assessment of the economic and environmental effects of this legislation has been a major challenge. To help NAPAP face this challenge, the U.S. Department of Energy (DOE) has sponsored development of an integrated assessment model, known as the Tracking and Analysis Framework (TAF). This section summarizes TAF`s objectives and its overall design.
Chattopadhyay, Goutami; 10.1140/epjp/i2012-12043-9
2012-01-01T23:59:59.000Z
This study reports a statistical analysis of monthly sunspot number time series and observes non homogeneity and asymmetry within it. Using Mann-Kendall test a linear trend is revealed. After identifying stationarity within the time series we generate autoregressive AR(p) and autoregressive moving average (ARMA(p,q)). Based on minimization of AIC we find 3 and 1 as the best values of p and q respectively. In the next phase, autoregressive neural network (AR-NN(3)) is generated by training a generalized feedforward neural network (GFNN). Assessing the model performances by means of Willmott's index of second order and coefficient of determination, the performance of AR-NN(3) is identified to be better than AR(3) and ARMA(3,1).
Goutami Chattopadhyay; Surajit Chattopadhyay
2012-04-18T23:59:59.000Z
This study reports a statistical analysis of monthly sunspot number time series and observes non homogeneity and asymmetry within it. Using Mann-Kendall test a linear trend is revealed. After identifying stationarity within the time series we generate autoregressive AR(p) and autoregressive moving average (ARMA(p,q)). Based on minimization of AIC we find 3 and 1 as the best values of p and q respectively. In the next phase, autoregressive neural network (AR-NN(3)) is generated by training a generalized feedforward neural network (GFNN). Assessing the model performances by means of Willmott's index of second order and coefficient of determination, the performance of AR-NN(3) is identified to be better than AR(3) and ARMA(3,1).
Heftberger, Peter [University of Graz, Institute of Molecular Biosciences, Austria] [University of Graz, Institute of Molecular Biosciences, Austria; Kollmitzer, Benjamin [University of Graz, Institute of Molecular Biosciences, Austria] [University of Graz, Institute of Molecular Biosciences, Austria; Heberle, Frederick A [ORNL] [ORNL; Pan, Jianjun [ORNL] [ORNL; Rappolt, Michael [University of Leeds, UK] [University of Leeds, UK; Amenitsch, Heinz [Graz University of Technology] [Graz University of Technology; Kucerka, Norbert [Atomic Energy of Canada Limited (AECL), Canadian Neutron Beam Centre (CNBC) and Comenius University,] [Atomic Energy of Canada Limited (AECL), Canadian Neutron Beam Centre (CNBC) and Comenius University,; Katsaras, John [ORNL] [ORNL; Pabst, georg [University of Graz, Institute of Molecular Biosciences, Austria] [University of Graz, Institute of Molecular Biosciences, Austria
2014-01-01T23:59:59.000Z
The highly successful scattering density profile (SDP) model, used to jointly analyze small-angle X-ray and neutron scattering data from unilamellar vesicles, has been adapted for use with data from fully hydrated, liquid crystalline multilamellar vesicles (MLVs). Using a genetic algorithm, this new method is capable of providing high-resolution structural information, as well as determining bilayer elastic bending fluctuations from standalone X-ray data. Structural parameters such as bilayer thickness and area per lipid were determined for a series of saturated and unsaturated lipids, as well as binary mixtures with cholesterol. The results are in good agreement with previously reported SDP data, which used both neutron and X-ray data. The inclusion of deuterated and non-deuterated MLV neutron data in the analysis improved the lipid backbone information but did not improve, within experimental error, the structural data regarding bilayer thickness and area per lipid.
Blair, N.
2010-01-01T23:59:59.000Z
power and renewable energy sources. o If the model includedmodels that contain other renewable sources (solar, geothermal, bio- power,
Blair, N.
2010-01-01T23:59:59.000Z
COVERED (From - To) Renewable Energy and Efficiency Modelingphotovoltaics renewable energy renewable energy certificatecoordinated by the Renewable Energy and Efficiency Modeling
Merkle, Peter Benedict
2006-03-01T23:59:59.000Z
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.