National Library of Energy BETA

Sample records for openstudio energy simulation

  1. Energy Department Releases Updates to EnergyPlus and OpenStudio...

    Energy Savers [EERE]

    Energy Department Releases Updates to EnergyPlus and OpenStudio Energy Department Releases Updates to EnergyPlus and OpenStudio April 1, 2015 - 8:49am Addthis The Energy Department...

  2. NREL's OpenStudio Helps Design More Efficient Buildings (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2014-07-01

    The National Renewable Energy Laboratory (NREL) has created the OpenStudio software platform that makes it easier for architects and engineers to evaluate building energy efficiency measures throughout the design process. OpenStudio makes energy modeling more accessible and affordable, helping professionals to design structures with lower utility bills and less carbon emissions, resulting in a healthier environment. OpenStudio includes a user-friendly application suite that makes the U.S. Department of Energy's EnergyPlus and Radiance simulation engines easier to use for whole building energy and daylighting performance analysis. OpenStudio is freely available and runs on Windows, Mac, and Linux operating systems.

  3. OpenStudio Enhancements for Whole-Building Daylighting, Airflow...

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

    for Whole-Building Daylighting, Airflow, and Energy Modeling Leveraging Interoperable Building Information Modeling Data - 2014 BTO Peer Review OpenStudio Enhancements for...

  4. Cloud-Based Model Calibration Using OpenStudio: Preprint

    SciTech Connect (OSTI)

    Hale, E.; Lisell, L.; Goldwasser, D.; Macumber, D.; Dean, J.; Metzger, I.; Parker, A.; Long, N.; Ball, B.; Schott, M.; Weaver, E.; Brackney, L.

    2014-03-01

    OpenStudio is a free, open source Software Development Kit (SDK) and application suite for performing building energy modeling and analysis. The OpenStudio Parametric Analysis Tool has been extended to allow cloud-based simulation of multiple OpenStudio models parametrically related to a baseline model. This paper describes the new cloud-based simulation functionality and presents a model cali-bration case study. Calibration is initiated by entering actual monthly utility bill data into the baseline model. Multiple parameters are then varied over multiple iterations to reduce the difference between actual energy consumption and model simulation results, as calculated and visualized by billing period and by fuel type. Simulations are per-formed in parallel using the Amazon Elastic Cloud service. This paper highlights model parameterizations (measures) used for calibration, but the same multi-nodal computing architecture is available for other purposes, for example, recommending combinations of retrofit energy saving measures using the calibrated model as the new baseline.

  5. Article: OpenStudio Measures | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsofProgram:Y-12Power, Inc | Department ofMarketing, LLCorAreaEnergyArticle:

  6. OpenStudio - 2013 Peer Review | Department of Energy

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy AEnergy Managing853926 NewsORMAT

  7. OpenStudio: Building Design Expertise at Your Fingertips

    Broader source: Energy.gov [DOE]

    The newest version of the OpenStudio Application Suite and Development Platform developed by the National Renewable Energy Laboratory helps architects and engineers model whole-building energy use.

  8. NREL: Continuum Magazine - Building Better: Advanced Energy Design...

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

    to develop a single guide. NREL and PNNL researchers use simulation tools such as EnergyPlus and OpenStudio to analyze a wide variety of possible directions, such as new...

  9. DOE Releases Updated Versions of EnergyPlus and OpenStudio | Department of

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-in electric vehicle10nominateEnergy U.S.Safety,

  10. EnergyPlus and OpenStudio Get New User Feedback Portals | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12, 2015 Infographiclighbulbs - high-resolution JPG MoreEnergyPlus -

  11. OpenStudio Enhancements for Whole-Building Daylighting, Airflow, and Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Financing Tool Fits the BillDepartmentSitesUMTRCA3EnergyOutreachOhioARM,Department ofModeling

  12. OpenStudio

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested Parties -DepartmentAvailableHighOffice ofProjectDepartment ofOpenNet Training|

  13. Webinar: OpenStudio 1.3 Training

    Broader source: Energy.gov [DOE]

    OpenStudio 1.3 was released several weeks back. And while this release doesn't have any exciting new features like parametric analysis on the cloud there is some very useful added support for HVAC...

  14. Simulation in the Service of Design - Asking the Right Questions

    E-Print Network [OSTI]

    Donn, Michael

    2010-01-01

    apps1.eere.energy.gov/buildings/energyplus/energy_design _apps1.eere.energy.gov/buildings/energyplus/cfm/inputs Figureapps1.eere.energy.gov/buildings/energyplus/openstudio.cf

  15. OpenStudio | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data availableInformation Governor

  16. SIMMODEL: A DOMAIN DATA MODEL FOR WHOLE BUILDING ENERGY SIMULATION

    E-Print Network [OSTI]

    O'Donnell, James

    2013-01-01

    Available from: . NREL (2010) NREL: OpenStudio [Internet]. Available from: NREL, 2010). The quality of data

  17. Whole Building Energy Simulation

    Broader source: Energy.gov [DOE]

    Whole building energy simulation, also referred to as energy modeling, can and should be incorporated early during project planning to provide energy impact feedback for which design considerations...

  18. Software interoperability for energy simulation

    E-Print Network [OSTI]

    Hitchcock, Robert J.

    2002-01-01

    Tools,” in Building Energy Simulation User News, Vol. 22,Interoperability for Energy Simulation Robert J. Hitchcock,Interoperability for Energy Simulation Robert J. Hitchcock,

  19. OpenStudio Policy Analysis Tool | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg, Oregon:OGEProjects/Definitions Jump to:Public

  20. CBEI: Enhancing OpenStudio for Airflow and Daylight Modeling...

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

    for Whole-Building Daylighting, Airflow, and Energy Modeling Leveraging Interoperable Building Information Modeling Data - 2014 BTO Peer Review Building Energy Modeling...

  1. Flexible Framework for Building Energy Analysis: Preprint

    SciTech Connect (OSTI)

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

    2012-09-01

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

  2. OpenStudio Core 2014 Building Technologies Office Peer Review

    E-Print Network [OSTI]

    .brackney@nrel.gov National Renewable Energy Laboratory Oliver Davis, oliver@concept3d.com concept3D Inc. #12;2 Project,500,000* Key Partners: Project Goal: Develop BTO's best-in-class building energy analysis ecosystem to enable kit across BTO performers, utilities, and private sector developers to drive real energy savings

  3. CBEI - Enhancing OpenStudio for Airflow and Daylight Modeling

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

    information science and technology. The team also works closely with building design professions in industry. 6 Our Approach ENHANCE Daylighting Airflow Modeling Energy Model...

  4. Snowmass Energy Frontier Simulations

    E-Print Network [OSTI]

    Jacob Anderson; Aram Avetisyan; Raymond Brock; Sergei Chekanov; Timothy Cohen; Nitish Dhingra; James Dolen; James Hirschauer; Kiel Howe; Ashutosh Kotwal; Tom LeCompte; Sudhir Malik; Patricia Mcbride; Kalanand Mishra; Meenakshi Narain; Jim Olsen; Sanjay Padhi; Michael E. Peskin; John Stupak III; Jay G. Wacker

    2013-09-01

    This document describes the simulation framework used in the Snowmass Energy Frontier studies for future Hadron Colliders. An overview of event generation with {\\sc Madgraph}5 along with parton shower and hadronization with {\\sc Pythia}6 is followed by a detailed description of pile-up and detector simulation with {\\sc Delphes}3. Details of event generation are included in a companion paper cited within this paper. The input parametrization is chosen to reflect the best object performance expected from the future ATLAS and CMS experiments; this is referred to as the "Combined Snowmass Detector". We perform simulations of $pp$ interactions at center-of-mass energies $\\sqrt{s}=$ 14, 33, and 100 TeV with 0, 50, and 140 additional $pp$ pile-up interactions. The object performance with multi-TeV $pp$ collisions are studied for the first time using large pile-up interactions.

  5. Sandia Energy - WEC-Sim (Wave Energy Converter SIMulator)

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

    WEC-Sim (Wave Energy Converter SIMulator) Home Stationary Power Energy Conversion Efficiency Water Power WEC-Sim (Wave Energy Converter SIMulator) WEC-Sim (Wave Energy Converter...

  6. Distributed Energy Technology Simulator: Microturbine Demonstration...

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

    Simulator: Microturbine Demonstration, October 2001 Distributed Energy Technology Simulator: Microturbine Demonstration, October 2001 This 2001 paper discusses the National Rural...

  7. More Issues of Building Energy Simulation 

    E-Print Network [OSTI]

    Kang, Z.; Zhao, J.

    2006-01-01

    The paper investigates the development of building energy simulation software. It is shown that such applications can be used for energy forecasting, system design and operations, and energy evaluation. Several energy simulation methods are analyzed...

  8. Energy Department Releases Updates to EnergyPlus and OpenStudio |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12, 2015 Infographic courtesy ofDepartmentPortland Public

  9. Energy Simulation Games Lesson

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submitKansasCommunities EnergyU.S. DOE Office of99SavingTrilateralUnionSecurityKen

  10. Strategies for coupling energy simulation and computational fluid dynamics programs

    E-Print Network [OSTI]

    Zhai, Zhiqiang; Chen, Qingyan; Klems, Joseph H.; Haves, Philip

    2001-01-01

    2000. “EnergyPlus: Energy Simulation Program” . ASHRAEA Coupled Airflow-and-Energy Simulation Program for IndoorSTRATEGIES FOR COUPLING ENERGY SIMULATION AND COMPUTATIONAL

  11. Acquisition of building geometry in the simulation of energy performance

    E-Print Network [OSTI]

    Bazjanac, Vladimir

    2001-01-01

    New-Generation Building Energy Simulation Program," Energy &Classes,” Building Energy Simulation User News, Vol.21,Clarke, J.A. 1985. Energy Simulation in Building Design,

  12. Energy Simulation Training Prepared for the

    E-Print Network [OSTI]

    Energy Simulation Training Prepared for the U.S. Department of Energy Office of Electricity Simulation Training Provided to the Hawai`i Natural Energy Institute April 1, 2013 Project funded by US ...........................................................................................................................................3 Part 1: Semester Course in Whole Building Energy Simulation .................................3

  13. Acquisition of building geometry in the simulation of energy performance

    E-Print Network [OSTI]

    Bazjanac, Vladimir

    2001-01-01

    budgeting for building energy performance simulation, oneeffort in a building energy performance simulation project.In the case of building energy performance simulation, up to

  14. SIMMODEL: A DOMAIN DATA MODEL FOR WHOLE BUILDING ENERGY SIMULATION

    E-Print Network [OSTI]

    O'Donnell, James

    2013-01-01

    whole building energy simulation program. In: IBPSA BuildingExchange Protocols for Energy Simulation of HVAC&R EquipmentInteroperability for Energy Simulation. buildingSmart (2010)

  15. Low Energy Quantum System Simulation

    E-Print Network [OSTI]

    Peter Cho; Karl Berggren

    2003-10-26

    A numerical method for solving Schrodinger's equation based upon a Baker-Campbell-Hausdorff (BCH) expansion of the time evolution operator is presented herein. The technique manifestly preserves wavefunction norm, and it can be applied to problems in any number of spatial dimensions. We also identify a particular dimensionless ratio of potential to kinetic energies as a key coupling constant. This coupling establishes characteristic length and time scales for a large class of low energy quantum states, and it guides the choice of step sizes in numerical work. Using the BCH method in conjunction with an imaginary time rotation, we compute low energy eigenstates for several quantum systems coupled to non-trivial background potentials. The approach is subsequently applied to the study of 1D propagating wave packets and 2D bound state time development. Failures of classical expectations uncovered by simulations of these simple systems help develop quantum intuition. Finally, we investigate the response of a Superconducting Quantum Interference Device (SQUID) to a time dependent potential. We discuss how to engineer the potential's energy and time scales so that the SQUID acts as a quantum NOT gate. The notional simulation we present for this gate provides useful insight into the design of one candidate building block for a quantum computer.

  16. Real-Time Building Energy Simulation Using EnergyPlus and the Building Controls Test Bed

    E-Print Network [OSTI]

    Pang, Xiufeng

    2013-01-01

    generation building energy simulation program. Energy andReal-Time Building Energy Simulation Using EnergyPlus andREAL-TIME BUILDING ENERGY SIMULATION USING ENERGYPLUS AND

  17. Energy Simulation for Buildings: Development and Training

    E-Print Network [OSTI]

    Energy Simulation for Buildings: Development and Training This report presents an architectural analysis. Energy simulation training activities included development of a semester course, whole-day workshops, and summer internships. The report was submitted by HNEI to the U.S. Department of Energy Office

  18. Energy Simulation for Buildings: Development and Training

    E-Print Network [OSTI]

    Energy Simulation for Buildings: Development and Training This report presents an architectural for Smart Building and Community Design, and Hawai`i Natural Energy Institute And submitted to Hawai Center for Smart Building and Community Design 3 Hawai`i Natural Energy Institute University of Hawai

  19. Simulating the Next Generation of Energy Technologies

    Broader source: Energy.gov [DOE]

    Computer simulations offer a huge potential for the auto industry to allow us to make modifications to engines faster and cheaper -- and come up with the most energy efficient solution.

  20. Home Energy Score Update: New Simulation Training and Credential...

    Energy Savers [EERE]

    Update: New Simulation Training and Credential Requirements for Assessors Home Energy Score Update: New Simulation Training and Credential Requirements for Assessors Home Energy...

  1. Home Energy Score Update: New Simulation Training & Credential...

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

    Home Energy Score Update: New Simulation Training & Credential Requirements for Assessors Home Energy Score Update: New Simulation Training & Credential Requirements for Assessors...

  2. Energy Efficient Biomolecular Simulations with FPGA-based Reconfigurab...

    Office of Scientific and Technical Information (OSTI)

    Energy Efficient Biomolecular Simulations with FPGA-based Reconfigurable Computing Citation Details In-Document Search Title: Energy Efficient Biomolecular Simulations with...

  3. OpenStudio Core Development and Deployment Support - 2014 BTO Peer Review |

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested Parties -DepartmentAvailableHighOffice ofProjectDepartment ofOpenNet

  4. Free Energy Calculation in MD Simulation

    E-Print Network [OSTI]

    Nielsen, Steven O.

    Free Energy Calculation in MD Simulation #12;Basic Thermodynamics Helmoholtz free energy A = U ­ TS + i Ni dA = wrev (reversible, const N V T) eq (22.9) McQuarrie & Simon Gibbs free energy G = U;Implication of Free Energy A B Keq = [A]/[B] Keq = exp (-G0 /RT) G0 = -RT ln Keq G = G0 + RT ln Q G > 0

  5. CBEI: Enhancing OpenStudio for Airflow and Daylight Modeling - 2015 Peer

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l DeInsulation at04-86) (All Previous EditionsOffice

  6. Protein Thermostability Calculations Using Alchemical Free Energy Simulations

    E-Print Network [OSTI]

    de Groot, Bert

    Protein Thermostability Calculations Using Alchemical Free Energy Simulations Daniel Seeliger by alterations in the free energy of folding. Growing computational power, however, increasingly allows us to use alchem- ical free energy simulations, such as free energy perturbation or thermodynamic integration

  7. Revamped Simulation Tool to Power Up Wave Energy Development...

    Energy Savers [EERE]

    Revamped Simulation Tool to Power Up Wave Energy Development Revamped Simulation Tool to Power Up Wave Energy Development May 21, 2015 - 2:40pm Addthis Revamped Simulation Tool to...

  8. Energy Systems Optimization, Modeling, Simulation,

    E-Print Network [OSTI]

    Qu, Zhihua

    such as solar or wind energy, fuel cells or even small diesel generators. To in- crease the harness price to the micro grid, minimizes its cost and se- cures the power supply that the microgrid

  9. Revolutions in energy through modeling and simulation

    SciTech Connect (OSTI)

    Tatro, M.; Woodard, J.

    1998-08-01

    The development and application of energy technologies for all aspects from generation to storage have improved dramatically with the advent of advanced computational tools, particularly modeling and simulation. Modeling and simulation are not new to energy technology development, and have been used extensively ever since the first commercial computers were available. However, recent advances in computing power and access have broadened the extent and use, and, through increased fidelity (i.e., accuracy) of the models due to greatly enhanced computing power, the increased reliance on modeling and simulation has shifted the balance point between modeling and experimentation. The complex nature of energy technologies has motivated researchers to use these tools to understand better performance, reliability and cost issues related to energy. The tools originated in sciences such as the strength of materials (nuclear reactor containment vessels); physics, heat transfer and fluid flow (oil production); chemistry, physics, and electronics (photovoltaics); and geosciences and fluid flow (oil exploration and reservoir storage). Other tools include mathematics, such as statistics, for assessing project risks. This paper describes a few advancements made possible by these tools and explores the benefits and costs of their use, particularly as they relate to the acceleration of energy technology development. The computational complexity ranges from basic spreadsheets to complex numerical simulations using hardware ranging from personal computers (PCs) to Cray computers. In all cases, the benefits of using modeling and simulation relate to lower risks, accelerated technology development, or lower cost projects.

  10. Predictive Simulation | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuelsof EnergyAprilEnergyPartnershipSitePost-ClosurePowerPre-Screening

  11. Uncalibrated Building Energy Simulation Modeling Results 

    E-Print Network [OSTI]

    Ahmad, M.; Culp, C.H.

    2006-01-01

    &R RESEARCH OCTOBER 2006 1141 Uncalibrated Building Energy Simulation Modeling Results Mushtaq Ahmad Charles H. Culp, PhD, PE Associate Member ASHRAE Fellow ASHRAE Received June 23, 2005; accepted April 17, 2006 Uncalibrated simulations have provided useful... was to analyze the performance of four uncali- brated simulation models using DOE-2.1E Version 119 (Ayres and Stamper 1995) as the simula- tion package. The four buildings were randomly selected from a building data base (LoanSTAR 2005). Three of the four...

  12. Building Energy Simulation & Modeling | Department of Energy

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

    Documents & Publications Architecture firm Skidmore, Owings & Merrill (SOM) used EnergyPlus to design a new 380,000 square foot federal office building in West Virginia. The...

  13. OpenStudio Core

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURINGEnergy Bills and ReduceNovemberDOE'sManagementOpenEI and Linked Open

  14. Home Energy Score Update: New Simulation Training & Requirements...

    Energy Savers [EERE]

    New Simulation Training & Requirements for Assessors Webinar -- Text Version Home Energy Score Update: New Simulation Training & Requirements for Assessors Webinar -- Text...

  15. Numerical simulations for low energy nuclear reactions including...

    Office of Scientific and Technical Information (OSTI)

    Numerical simulations for low energy nuclear reactions including direct channels to validate statistical models Citation Details In-Document Search Title: Numerical simulations for...

  16. Sandia Energy - Consortium for Advanced Simulation of Light Water...

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

    Consortium for Advanced Simulation of Light Water Reactors (CASL) Home Stationary Power Nuclear Fuel Cycle Advanced Nuclear Energy Consortium for Advanced Simulation of Light Water...

  17. Sandia Energy - SNL-SWAN (Sandia National Laboratories - Simulating...

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

    (Sandia National Laboratories - Simulating WAves Nearshore) is an open source wave energy converter (WEC) array simulation tool. The code is a modification of the open source...

  18. Slocum Glider Energy Measurement and Simulation Infrastructure

    E-Print Network [OSTI]

    Kremer, Ulrich

    of a new simulation environment for the Slocum glider which uses the power/energy data obtained by our the coast of New Jersey. I. INTRODUCTION The mission endurance of today's Autonomous Un- derwater Vehicles been deployed in test missions off of the coast of New Jersey, and the data collected have been

  19. A review of methods to match building energy simulation models to measured data

    E-Print Network [OSTI]

    Coakley, Daniel; Raftery, Paul; Keane, Marcus

    2014-01-01

    2 Building energy performance simulation (BEPS)generation building energy simulation program. Energy Buildwhen using building energy simulation. Build Serv Eng Res

  20. Stochastic Modeling of Overtime Occupancy and Its Application in Building Energy Simulation and Calibration

    E-Print Network [OSTI]

    Sun, Kaiyu

    2014-01-01

    Calibrated building energy simulation and its application inparameters in energy simulation of office buildings. EnergyApplication in Building Energy Simulation and Calibration

  1. IFC HVAC interface to EnergyPlus - A case of expanded interoperability for energy simulation

    E-Print Network [OSTI]

    Bazjanac, Vladimir; Maile, Tobias

    2004-01-01

    Schnittstelle für EnergyPlus (Development and Implementationof an IFC Interface to EnergyPlus), Masters Thesis, Institutof Energy (US-DOE). 2004. EnergyPlus Energy Simulation

  2. Sandia Energy - Upper Rio Grande Simulation Model (URGSiM)

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

    Upper Rio Grande Simulation Model (URGSiM) Home Climate & Earth Systems WaterEnergy Nexus Decision Models for Integrating EnergyWater Systems Modeling Upper Rio Grande Simulation...

  3. Methodology for Validating Building Energy Analysis Simulations

    SciTech Connect (OSTI)

    Judkoff, R.; Wortman, D.; O'Doherty, B.; Burch, J.

    2008-04-01

    The objective of this report was to develop a validation methodology for building energy analysis simulations, collect high-quality, unambiguous empirical data for validation, and apply the validation methodology to the DOE-2.1, BLAST-2MRT, BLAST-3.0, DEROB-3, DEROB-4, and SUNCAT 2.4 computer programs. This report covers background information, literature survey, validation methodology, comparative studies, analytical verification, empirical validation, comparative evaluation of codes, and conclusions.

  4. Work and Energy Simulation Name_______________________ Lab Worksheet Group member names__________________________________

    E-Print Network [OSTI]

    Winokur, Michael

    Work and Energy Simulation Name_______________________ Lab Worksheet Group member names://phet.colorado.edu, in a browser and click on the Go to the simulations button. Open Work, Energy, and Power on the left. This lab uses three of the simulations on this page, Masses and Springs, Energy Skate Park, and The Ramp. I

  5. Energy Distribution of Nanoflares in Three-Dimensional Simulations of

    E-Print Network [OSTI]

    Ng, Chung-Sang

    Energy Distribution of Nanoflares in Three-Dimensional Simulations of Coronal Heating Chung-Sang Ng difficulties. We will present energy distributions and other statistics based on our simulations, calculated simulation results. · Parker's nanoflare heating model vs observations · Energy distributions of nanoflares

  6. SIMMODEL: A DOMAIN DATA MODEL FOR WHOLE BUILDING ENERGY SIMULATION

    E-Print Network [OSTI]

    LBNL-5566E SIMMODEL: A DOMAIN DATA MODEL FOR WHOLE BUILDING ENERGY SIMULATION Author(s), James O;SIMMODEL: A DOMAIN DATA MODEL FOR WHOLE BUILDING ENERGY SIMULATION James O'Donnell1 Richard See2 , Cody exist within industry-standard data models as used by present-day whole-building energy simulation

  7. IFC BIM-Based Methodology for Semi-Automated Building Energy Performance Simulation

    E-Print Network [OSTI]

    Bazjanac, Vladimir

    2008-01-01

    of performing building energy performance simulation andto semi-automate building energy performance simulation andfor Semi-Automated Building Energy Performance Simulation

  8. A SOFTWARE TOOL TO COMPARE MEASURED AND SIMULATED BUILDING ENERGY PERFORMANCE DATA

    E-Print Network [OSTI]

    Maile, Tobias

    2014-01-01

    and simulated building energy performance data. Ph.D.AND SIMULATED BUILDING ENERGY PERFORMANCE DATA Author(s),AND SIMULATED BUILDING ENERGY PERFORMANCE DATA Tobias Maile

  9. IFC BIM-Based Methodology for Semi-Automated Building Energy Performance Simulation

    E-Print Network [OSTI]

    Bazjanac, Vladimir

    2008-01-01

    the existence of an “energy simulation” view of IFC, eitherbeen defined in the “energy simulation view” of the IFC datafrom sophisticated energy simulation engines is typically

  10. A SOFTWARE TOOL TO COMPARE MEASURED AND SIMULATED BUILDING ENERGY PERFORMANCE DATA

    E-Print Network [OSTI]

    Maile, Tobias

    2014-01-01

    on calibration of building energy simulation programs: Uses,resulting from energy simulations. A detailed analysis ofmore Building Energy Performance Simulation (BEPS) models.

  11. Simulated energy savings of cool roofs applied to industrial premises in the Mediterranean Area

    E-Print Network [OSTI]

    De Carli, Michele; Scarpa, Massimiliano; Schiavon, Stefano; Zecchin, Roberto

    2007-01-01

    materials. Computer energy simulations have been used tomeans of computer energy simulations, in the Mediterraneanof 60% is applied. The energy simulations were performed for

  12. Performance comparison of U.K. low-energy cooling systems by energy simulation

    E-Print Network [OSTI]

    Olsen, Erik L. (Erik Lee), 1979-

    2002-01-01

    Building energy simulation is an important tool for evaluating the energy consumption of a building and can provide guidance in the design of a building and its mechanical systems. EnergyPlus is a new energy simulation ...

  13. OpenStudio Enhancements for Whole-building Daylighting, Airflow, and Energy Modeling Leveraging Interoperable BIM Data for SMSCB

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURINGEnergy Bills and ReduceNovemberDOE'sManagementOpenEI and Linked Open Messner,

  14. House Simulation Protocols Report | Department of Energy

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

    House Simulation Protocols Report House Simulation Protocols Report Report cover Building America's House Simulation Protocols report is designed to assist researchers in tracking...

  15. Automated Comparison of Building Energy Simulation Engines (Presentation)

    SciTech Connect (OSTI)

    Polly, B.; Horowitz, S.; Booten, B.; Kruis, N.; Christensen, C.

    2012-08-01

    This presentation describes the BEopt comparative test suite, which is a tool that facilitates the automated comparison of building energy simulation engines. It also demonstrates how the test suite is improving the accuracy of building energy simulation programs. Building energy simulation programs inform energy efficient design for new homes and energy efficient upgrades for existing homes. Stakeholders rely on accurate predictions from simulation programs. Previous research indicates that software tends to over-predict energy usage for poorly-insulated leaky homes. NREL is identifying, investigating, and resolving software inaccuracy issues. Comparative software testing is one method of many that NREL uses to identify potential software issues.

  16. Simulated Quantum Computation of Molecular Energies

    E-Print Network [OSTI]

    Alán Aspuru-Guzik; Anthony D. Dutoi; Peter J. Love; Martin Head-Gordon

    2006-04-26

    The calculation time for the energy of atoms and molecules scales exponentially with system size on a classical computer but polynomially using quantum algorithms. We demonstrate that such algorithms can be applied to problems of chemical interest using modest numbers of quantum bits. Calculations of the water and lithium hydride molecular ground-state energies have been carried out on a quantum computer simulator using a recursive phase-estimation algorithm. The recursive algorithm reduces the number of quantum bits required for the readout register from about 20 to 4. Mappings of the molecular wave function to the quantum bits are described. An adiabatic method for the preparation of a good approximate ground-state wave function is described and demonstrated for a stretched hydrogen molecule. The number of quantum bits required scales linearly with the number of basis functions, and the number of gates required grows polynomially with the number of quantum bits.

  17. Simulating a Nationally Representative Housing Sample Using EnergyPlus

    E-Print Network [OSTI]

    Hopkins, Asa S.

    2011-01-01

    Housing Sample Using EnergyPlus Asa S. Hopkins, Alex Lekov,Housing Sample Using EnergyPlus 1. Executive Summary……B: Details of Running EnergyPlus Simulations on Amazon

  18. Energy Distribution of Nanoflares in Three-Dimensional Simulations of

    E-Print Network [OSTI]

    Ng, Chung-Sang

    Energy Distribution of Nanoflares in Three-Dimensional Simulations of Coronal Heating Chung-Sang Ng of the energy distribution of solar flares, there have not been many results based on large-scale three-dimensional direct simulations due to obvious numerical difficulties. We will present energy distributions and other

  19. Vehicle Modeling and Simulation | Department of Energy

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

    Modeling and Simulation Vehicle Modeling and Simulation Presentation from the U.S. DOE Office of Vehicle Technologies "Mega" Merit Review 2008 on February 25, 2008 in Bethesda,...

  20. Distributed Energy Technology Simulator: Microturbine Demonstration, October 2001

    Broader source: Energy.gov [DOE]

    results of a demonstration of a microturbine simulator used to mimic the behavior of a distributed energy resource on an electrical system

  1. Large-Eddy Simulation for Green Energy and Propulsion Systems...

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

    Large-Eddy Simulation for Green Energy and Propulsion Systems PI Name: Umesh Paliath PI Email: paliath@ge.com Institution: General Electric Allocation Program: INCITE Allocation...

  2. Nuclear Energy Advanced Modeling and Simulation (NEAMS) Software...

    Office of Environmental Management (EM)

    Software Verification and Validation (V&V) Plan Requirements Nuclear Energy Advanced Modeling and Simulation (NEAMS) Software Verification and Validation (V&V) Plan Requirements...

  3. Energy stable schemes and numerical simulations of two phase ...

    E-Print Network [OSTI]

    Title: Energy stable schemes and numerical simulations of two phase complex fluids by the phase-field method Abstact: We present an energetic variational ...

  4. Sandia Energy - SNL-SWAN (Sandia National Laboratories - Simulating...

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

    Planning for Effects of Wave Energy Development Before Going to Sea February 24, 2015 - Tidal Energy Today, DoE has released new WEC array simulation tool Points of Contact:...

  5. Modelica-based Modeling and Simulation to Support Research and Development in Building Energy and Control Systems

    E-Print Network [OSTI]

    Wetter, Michael

    2010-01-01

    504 78. Joe A. Clarke. Energy Simulation in Building Design.interoperability for energy simulation. In Proceedings ofgeneration building energy simulation program. Energy and

  6. IFC BIM-Based Methodology for Semi-Automated Building Energy Performance Simulation

    E-Print Network [OSTI]

    Bazjanac, Vladimir

    2008-01-01

    of results of energy performance simulation with EnergyPlusto simulation with EnergyPlus, and describes dataIMPLEMENTATION OF METHODOLOGY: ENERGYPLUS LBNL applied the

  7. Performance Validation and Energy Analysis of HVAC Systems using Simulation

    E-Print Network [OSTI]

    1 Performance Validation and Energy Analysis of HVAC Systems using Simulation Tim Salsbury and Rick This paper describes the concept of using simulation as a tool for performance validation and energy analysis and supervision of building systems in order to optimize operational performance. The paper describes one way

  8. Real-Time Building Energy Simulation Using EnergyPlus and the Building Controls Test Bed

    E-Print Network [OSTI]

    Pang, Xiufeng

    2013-01-01

    energy simulation, additional sensors were installed to provide the measurements for outdoor air dry bulb and relative humidity, wind

  9. An Energy-Aware Simulation Model and Transaction Protocol

    E-Print Network [OSTI]

    Pedram, Massoud

    functioning in a real world environment ! We study the effects of redistributing energy on the two network ! Communication energy: power consumption for SR transmission and reception ! Data transmission energy1 An Energy-Aware Simulation Model and Transaction Protocol for Dynamic Workload Distribution

  10. Advancement of DOE's EnergyPlus Building Energy Simulation Payment

    SciTech Connect (OSTI)

    Lixing Gu; Don Shirey; Richard Raustad; Bereket Nigusse; Chandan Sharma; Linda Lawrie; Rich Strand; Curt Pedersen; Dan Fisher; Edwin Lee; Mike Witte; Jason Glazer; Chip Barnaby

    2011-03-31

    EnergyPlus{sup TM} is a new generation computer software analysis tool that has been developed, tested, and commercialized to support DOEâ??s Building Technologies (BT) Program in terms of whole-building, component, and systems R&D (http://www.energyplus.gov). It is also being used to support evaluation and decision making of zero energy building (ZEB) energy efficiency and supply technologies during new building design and existing building retrofits. The 5-year project was managed by the National Energy Technology Laboratory and was divided into 5 budget period between 2006 and 2011. During the project period, 11 versions of EnergyPlus were released. This report summarizes work performed by an EnergyPlus development team led by the University of Central Floridaâ??s Florida Solar Energy Center (UCF/FSEC). The team members consist of DHL Consulting, C. O. Pedersen Associates, University of Illinois at Urbana-Champaign, Oklahoma State University, GARD Analytics, Inc., and WrightSoft Corporation. The project tasks involved new feature development, testing and validation, user support and training, and general EnergyPlus support. The team developed 146 new features during the 5-year period to advance the EnergyPlus capabilities. Annual contributions of new features are 7 in budget period 1, 19 in period 2, 36 in period 3, 41 in period 4, and 43 in period 5, respectively. The testing and validation task focused on running test suite and publishing report, developing new IEA test suite cases, testing and validating new source code, addressing change requests, and creating and testing installation package. The user support and training task provided support for users and interface developers, and organized and taught workshops. The general support task involved upgrading StarTeam (team sharing) software and updating existing utility software. The project met the DOE objectives and completed all tasks successfully. Although the EnergyPlus software was enhanced significantly under this project, more enhancements are needed for further improvement to ensure that EnergyPlus is able to simulate the latest technologies and perform desired HAVC system operations for the development of next generation HVAC systems. Additional development will be performed under a new 5-year project managed by the National Renewable Energy Laboratory.

  11. Real-Time Building Energy Simulation Using EnergyPlus and the Building Controls Test Bed

    E-Print Network [OSTI]

    Pang, Xiufeng

    2013-01-01

    creating a new-generation building energy simulationprogram. Energy and Buildings, 33: 319-331. Haves, P. ,Liu M. 2001. Use of Whole Building Simulation in On- Line

  12. Impact of the U.S. National Building Information Model Standard (NBIMS) on Building Energy Performance Simulation

    E-Print Network [OSTI]

    Bazjanac, Vladimir

    2008-01-01

    STANDARD (NBIMS) ON BUILDING ENERGY PERFORMANCE SIMULATIONare pertinent to building energy performance simulation andprobable impact on building energy performance simulation

  13. EnergyPlus: Energy Simulation Software for Buildings - Energy Innovation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submitKansasCommunities EnergyU.S. DOEEnergy StorageTricksPortal Energy Analysis

  14. Simulating Urban Environments for Energy Analysis

    E-Print Network [OSTI]

    Weber, Gunther H.

    2014-01-01

    for energy supply and demand response. The concept isenergy incentives and demand response programs. We apply theand wind energy), demand response, elec- tric vehicles,

  15. A Catalytic Mechanism for Cysteine N-Terminal Nucleophile Hydrolases, as Revealed by Free Energy Simulations

    E-Print Network [OSTI]

    2012-01-01

    from QM/MM free energy simulations. J Phys Chem B 114:as Revealed by Free Energy Simulations Alessio Lodola 1 ,study, we used free energy simulations in the quantum

  16. Shell to shell energy transfer in magnetohydrodynamic dynamo simulations

    E-Print Network [OSTI]

    Pouquet, Annick

    Shell to shell energy transfer in magnetohydrodynamic dynamo simulations Pablo Mininni, Alexandros 80307 (Dated: May 5, 2005) We study the transfer of energy between different scales for forced three, and which scales of the magnetic field receive energy directly from the velocity field and which scales

  17. Waste-To-Energy Feasibility Analysis: A Simulation Model

    E-Print Network [OSTI]

    Sekhon, Jasjeet S.

    Waste- To- Energy Feasibility Analysis: A Simulation Model Viet- An Duong College of Engineering://www.funginstitute.berkeley.edu/sites/default/ les/WasteToEnergy.pdf May 1, 2014 130 Blum Hall #5580 Berkeley, CA 94720-5580 | (510) 664-4337 | www-4337 | www.funginstitute.berkeley.edu #12;Abstract: The search for renewable and clean energies is one

  18. Simulating Urban Environments for Energy Analysis

    E-Print Network [OSTI]

    Weber, Gunther H.

    2014-01-01

    technologies that participate in energy systems. For example, the inclusion of renewables (especially solar and wind

  19. On-Site Generation Simulation with EnergyPlus for Commercial Buildings

    E-Print Network [OSTI]

    Stadler, Michael; Firestone, Ryan; Curtil, Dimitri; Marnay, Chris

    2006-01-01

    L ABORATORY On-Site Generation Simulation with EnergyPlusemployer. On-Site Generation Simulation with EnergyPlus forin modeling distributed generation (DG), including DG with

  20. Development of 3D Simulation Training and Testing for Home Energy...

    Office of Environmental Management (EM)

    Development of 3D Simulation Training and Testing for Home Energy Score Assessor Candidates Development of 3D Simulation Training and Testing for Home Energy Score Assessor...

  1. SIMULATING MARKET TRANSFORMATION DYNAMICS USING A HYBRID ENERGY ECONOMY MODEL

    E-Print Network [OSTI]

    ii SIMULATING MARKET TRANSFORMATION DYNAMICS USING A HYBRID ENERGY ECONOMY MODEL: A LOOK the likely effects of alternative policies, potential adoption rates of clean technologies, and costs to society in the long run. My goal was to use a "hybrid" energy economy model (CIMS), which combines

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

    E-Print Network [OSTI]

    Prasanna, Viktor K.

    An Estimation and Simulation Framework for Energy Efficient Design using Platform FPGAs Sumit an estimation and simulation framework for energy efficient application design using platform FPGAs. This framework integrates various widely used simulators available for platform FPGAs, allows specification

  3. Autonomie Automotive Simulation Tool | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar Energy LLC Jump to:Greece: Energy ResourcesCooperativeEnergyAutonomie

  4. NREL Simulations Provide New Insight on Polymer-Based Energy Storage Materials (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2014-08-01

    Atomistic simulations correlate molecular packing and electron transport in polymer-based energy storage materials.

  5. Integrated simulation of ELM Triggered by Pellet Through Energy Absorption and Transport Enhancement

    E-Print Network [OSTI]

    Integrated simulation of ELM Triggered by Pellet Through Energy Absorption and Transport Enhancement

  6. Integrated Simulation of ELM Triggered by Pellet through Energy Absorption and Transport Enhancement

    E-Print Network [OSTI]

    Integrated Simulation of ELM Triggered by Pellet through Energy Absorption and Transport Enhancement

  7. Sandia Energy - Simulating Turbine-Turbine Interaction

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

    SWiFT test site using the University of Minnesota VWS. The Department of Energy's Scaled Wind Farm Technology (SWiFT) facility was commissioned in 2013 in order to provide an...

  8. Modeling-Computer Simulations | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: Energy ResourcesDec(Pritchett, 2004) | Open Energy

  9. Sandia Energy - Predictive Simulation of Engines

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid youOxygenLaboratory Fellows JerryPredictive Simulation of Engines

  10. Sandia Energy - Simulating Turbine-Turbine Interaction

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)GeothermalFuel Magnetization and Laser HeatingSeminarsSimulating

  11. Tunneling through high energy barriers in simulated quantum annealing

    E-Print Network [OSTI]

    Elizabeth Crosson; Mingkai Deng

    2014-10-30

    We analyze the performance of simulated quantum annealing (SQA) on an optimization problem for which simulated classical annealing (SA) is provably inefficient because of a high energy barrier. We present evidence that SQA can pass through this barrier to find the global minimum efficiently. This demonstrates the potential for SQA to inherit some of the advantages of quantum annealing (QA), since this problem has been previously shown to be efficiently solvable by quantum adiabatic optimization.

  12. Advanced Modeling & Simulation | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergy Webinar:I Due Date Adv. FossilMethods for Manufacturing

  13. Comparison of the ENERGYGAUGE USA and BEopt Building Energy Simulation Programs

    SciTech Connect (OSTI)

    Parker, Danny S.; Cummings, Jamie E.

    2009-08-01

    This report compares two hourly energy simulation softwares, BEopt and Energy Gauge USA, to ensure accuracy and evaluate agreement on the impact of various energy efficiency improvements.

  14. Computer Energy Modeling Techniques for Simulation Large Scale Correctional Institutes in Texas 

    E-Print Network [OSTI]

    Heneghan, T.; Haberl, J. S.; Saman, N.; Bou-Saada, T. E.

    1996-01-01

    Building energy simulation programs have undergone an increase in use for evaluating energy consumption and energy conservation retrofits in buildings. Utilization of computer simulation programs for large facilities with multiple buildings, however...

  15. Simulating a Nationally Representative Housing Sample Using EnergyPlus

    SciTech Connect (OSTI)

    Hopkins, Asa S.; Lekov, Alex; Lutz, James; Rosenquist, Gregory; Gu, Lixing

    2011-03-04

    This report presents a new simulation tool under development at Lawrence Berkeley National Laboratory (LBNL). This tool uses EnergyPlus to simulate each single-family home in the Residential Energy Consumption Survey (RECS), and generates a calibrated, nationally representative set of simulated homes whose energy use is statistically indistinguishable from the energy use of the single-family homes in the RECS sample. This research builds upon earlier work by Ritchard et al. for the Gas Research Institute and Huang et al. for LBNL. A representative national sample allows us to evaluate the variance in energy use between individual homes, regions, or other subsamples; using this tool, we can also evaluate how that variance affects the impacts of potential policies. The RECS contains information regarding the construction and location of each sampled home, as well as its appliances and other energy-using equipment. We combined this data with the home simulation prototypes developed by Huang et al. to simulate homes that match the RECS sample wherever possible. Where data was not available, we used distributions, calibrated using the RECS energy use data. Each home was assigned a best-fit location for the purposes of weather and some construction characteristics. RECS provides some detail on the type and age of heating, ventilation, and air-conditioning (HVAC) equipment in each home; we developed EnergyPlus models capable of reproducing the variety of technologies and efficiencies represented in the national sample. This includes electric, gas, and oil furnaces, central and window air conditioners, central heat pumps, and baseboard heaters. We also developed a model of duct system performance, based on in-home measurements, and integrated this with fan performance to capture the energy use of single- and variable-speed furnace fans, as well as the interaction of duct and fan performance with the efficiency of heating and cooling equipment. Comparison with RECS revealed that EnergyPlus did not capture the heating-side behavior of heat pumps particularly accurately, and that our simple oil furnace and boiler models needed significant recalibration to fit with RECS. Simulating the full RECS sample on a single computer would take many hours, so we used the 'cloud computing' services provided by Amazon.com to simulate dozens of homes at once. This enabled us to simulate the full RECS sample, including multiple versions of each home to evaluate the impact of marginal changes, in less than 3 hours. Once the tool was calibrated, we were able to address several policy questions. We made a simple measurement of the heat replacement effect and showed that the net effect of heat replacement on primary energy use is likely to be less than 5%, relative to appliance-only measures of energy savings. Fuel switching could be significant, however. We also evaluated the national and regional impacts of a variety of 'overnight' changes in building characteristics or occupant behavior, including lighting, home insulation and sealing, HVAC system efficiency, and thermostat settings. For example, our model shows that the combination of increased home insulation and better sealed building shells could reduce residential natural gas use by 34.5% and electricity use by 6.5%, and a 1 degree rise in summer thermostat settings could save 2.1% of home electricity use. These results vary by region, and we present results for each U.S. Census division. We conclude by offering proposals for future work to improve the tool. Some proposed future work includes: comparing the simulated energy use data with the monthly RECS bill data; better capturing the variation in behavior between households, especially as it relates to occupancy and schedules; improving the characterization of recent construction and its regional variation; and extending the general framework of this simulation tool to capture multifamily housing units, such as apartment buildings.

  16. House Simulation Protocols Report | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergy HeadquartersFuelB IMSofNewsletterGuidingUpdate Webinar Slidess g n i r p S r e p

  17. Hydrodynamic and hydromagnetic energy spectra from large eddy simulations

    E-Print Network [OSTI]

    N. E. L. Haugen; A. Brandenburg

    2006-06-29

    Direct and large eddy simulations of hydrodynamic and hydromagnetic turbulence have been performed in an attempt to isolate artifacts from real and possibly asymptotic features in the energy spectra. It is shown that in a hydrodynamic turbulence simulation with a Smagorinsky subgrid scale model using 512^3 meshpoints two important features of the 4096^3 simulation on the Earth simulator (Kaneda et al. 2003, Phys. Fluids 15, L21) are reproduced: a k^{-0.1} correction to the inertial range with a k^{-5/3} Kolmogorov slope and the form of the bottleneck just before the dissipative subrange. Furthermore, it is shown that, while a Smagorinsky-type model for the induction equation causes an artificial and unacceptable reduction in the dynamo efficiency, hyper-resistivity yields good agreement with direct simulations. In the large-scale part of the inertial range, an excess of the spectral magnetic energy over the spectral kinetic energy is confirmed. However, a trend towards spectral equipartition at smaller scales in the inertial range can be identified. With magnetic fields, no explicit bottleneck effect is seen.

  18. Co-Simulation of Building Energy and Control Systems with the Building

    E-Print Network [OSTI]

    LBNL-5065E Co-Simulation of Building Energy and Control Systems with the Building Controls Virtual Simulation, 4(3):185-203, 2011. Co-Simulation of Building Energy and Control Systems with the Building the run-time coupling of different simulation programs for data exchange, including EnergyPlus, MATLAB

  19. HarvWSNet: A Co-Simulation Framework for Energy Harvesting Wireless Sensor Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    HarvWSNet: A Co-Simulation Framework for Energy Harvesting Wireless Sensor Networks Amine Didioui1 HarvWSNet's ability to predict network lifetime while minimally penalizing simulation time. Index Terms--Energy to the simulation of continuous-time systems such as energy harvesting. Moreover, most network simulators offer only

  20. Direct Monte Carlo simulation of chemical reaction systems: Internal energy transfer and an energy-dependent unimolecular reaction

    E-Print Network [OSTI]

    Anderson, James B.

    Direct Monte Carlo simulation of chemical reaction systems: Internal energy transfer and an energy a direct Monte Carlo simulation of an energy-dependent t&molecular reaction system of the type A+ B simulation of a unimo- lecular reaction with an energy-dependent rate constant k3 and with explicit treatment

  1. Simulation of diurnal thermal energy storage systems: Preliminary results

    SciTech Connect (OSTI)

    Katipamula, S.; Somasundaram, S.; Williams, H.R.

    1994-12-01

    This report describes the results of a simulation of thermal energy storage (TES) integrated with a simple-cycle gas turbine cogeneration system. Integrating TES with cogeneration can serve the electrical and thermal loads independently while firing all fuel in the gas turbine. The detailed engineering and economic feasibility of diurnal TES systems integrated with cogeneration systems has been described in two previous PNL reports. The objective of this study was to lay the ground work for optimization of the TES system designs using a simulation tool called TRNSYS (TRaNsient SYstem Simulation). TRNSYS is a transient simulation program with a sequential-modular structure developed at the Solar Energy Laboratory, University of Wisconsin-Madison. The two TES systems selected for the base-case simulations were: (1) a one-tank storage model to represent the oil/rock TES system, and (2) a two-tank storage model to represent the molten nitrate salt TES system. Results of the study clearly indicate that an engineering optimization of the TES system using TRNSYS is possible. The one-tank stratified oil/rock storage model described here is a good starting point for parametric studies of a TES system. Further developments to the TRNSYS library of available models (economizer, evaporator, gas turbine, etc.) are recommended so that the phase-change processes is accurately treated.

  2. Solution characters of iterative coupling between energy simulation and CFD programs

    E-Print Network [OSTI]

    Zhai, John Z.

    and have acceptable indoor air quality. Estimation of building energy usage normally uses man- ual methods) system. On the other hand, computer simulation of energy usage in buildings by advanced energy simulationSolution characters of iterative coupling between energy simulation and CFD programs Zhiqiang Zhaia

  3. A Simulation Tool for Real-time Systems using Environmental Energy Harvesting Maryline CHETTO

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A Simulation Tool for Real-time Systems using Environmental Energy Harvesting Maryline CHETTO, we present a simulation tool for real-time systems using environmental energy harvesting. Energy. The simulator enables to construct an optimal schedule for any task set, battery capacity and energy source

  4. LC-DET-2007-004 Simulation of Analog and Digital energy

    E-Print Network [OSTI]

    LC-DET-2007-004 Simulation of Analog and Digital energy measurements in the LDC electromagnetic of hitted cells. The simulations show that for electron energies above 4 GeV, the energy resolution performed using Mokka simulation software [2], for electrons energy from 1 to 300 GeV. For the detector con

  5. Simulation of Analog and Digital energy measurements in the LDC electromagnetic

    E-Print Network [OSTI]

    LC Note Simulation of Analog and Digital energy measurements in the LDC electromagnetic calorimeter. The simulations show that for electron energies above 4 GeV, the energy resolution is better for the analog method simulation software [2], for electrons energy from 1 to 300 GeV. For the detector con#12;guration, only

  6. A quantum energy transport model for semiconductor device simulation

    SciTech Connect (OSTI)

    Sho, Shohiro; Odanaka, Shinji

    2013-02-15

    This paper describes numerical methods for a quantum energy transport (QET) model in semiconductors, which is derived by using a diffusion scaling in the quantum hydrodynamic (QHD) model. We newly drive a four-moments QET model similar with a classical ET model. Space discretization is performed by a new set of unknown variables. Numerical stability and convergence are obtained by developing numerical schemes and an iterative solution method with a relaxation method. Numerical simulations of electron transport in a scaled MOSFET device are discussed. The QET model allows simulations of quantum confinement transport, and nonlocal and hot-carrier effects in scaled MOSFETs.

  7. A New Model to Simulate Energy Performance of VRF Systems

    SciTech Connect (OSTI)

    Hong, Tianzhen; Pang, Xiufeng; Schetrit, Oren; Wang, Liping; Kasahara, Shinichi; Yura, Yoshinori; Hinokuma, Ryohei

    2014-03-30

    This paper presents a new model to simulate energy performance of variable refrigerant flow (VRF) systems in heat pump operation mode (either cooling or heating is provided but not simultaneously). The main improvement of the new model is the introduction of the evaporating and condensing temperature in the indoor and outdoor unit capacity modifier functions. The independent variables in the capacity modifier functions of the existing VRF model in EnergyPlus are mainly room wet-bulb temperature and outdoor dry-bulb temperature in cooling mode and room dry-bulb temperature and outdoor wet-bulb temperature in heating mode. The new approach allows compliance with different specifications of each indoor unit so that the modeling accuracy is improved. The new VRF model was implemented in a custom version of EnergyPlus 7.2. This paper first describes the algorithm for the new VRF model, which is then used to simulate the energy performance of a VRF system in a Prototype House in California that complies with the requirements of Title 24 ? the California Building Energy Efficiency Standards. The VRF system performance is then compared with three other types of HVAC systems: the Title 24-2005 Baseline system, the traditional High Efficiency system, and the EnergyStar Heat Pump system in three typical California climates: Sunnyvale, Pasadena and Fresno. Calculated energy savings from the VRF systems are significant. The HVAC site energy savings range from 51 to 85percent, while the TDV (Time Dependent Valuation) energy savings range from 31 to 66percent compared to the Title 24 Baseline Systems across the three climates. The largest energy savings are in Fresno climate followed by Sunnyvale and Pasadena. The paper discusses various characteristics of the VRF systems contributing to the energy savings. It should be noted that these savings are calculated using the Title 24 prototype House D under standard operating conditions. Actual performance of the VRF systems for real houses under real operating conditions will vary.

  8. Practical Integration Approach and Whole Building Energy Simulation of Three Energy Efficient Building Technologies: Preprint

    SciTech Connect (OSTI)

    Miller, J. P.; Zhivov, A.; Heron, D.; Deru, M.; Benne, K.

    2010-08-01

    Three technologies that have potential to save energy and improve sustainability of buildings are dedicated outdoor air systems, radiant heating and cooling systems and tighter building envelopes. To investigate the energy savings potential of these three technologies, whole building energy simulations were performed for a barracks facility and an administration facility in 15 U.S. climate zones and 16 international locations.

  9. Sandia Energy - WEC-Sim (Wave Energy Converter SIMulator)

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

    The WEC-Sim project is funded by the U.S. Department of Energy's Wind and Water Power Technologies Office and the code development effort is a collaboration between the...

  10. Interoperability of Computer Aided Design and Energy Performance Simulation to Improve Building Energy Efficiency and Performance 

    E-Print Network [OSTI]

    Chaisuparasmikul, P.

    2006-01-01

    The paper describes very significant novel interoperability and data modeling technology for existing building that maps a building information parametric model with an energy simulation model, establishing a seamless link between Computer Aided...

  11. Mesoscale and Large-Eddy Simulations for Wind Energy

    SciTech Connect (OSTI)

    Marjanovic, N

    2011-02-22

    Operational wind power forecasting, turbine micrositing, and turbine design require high-resolution simulations of atmospheric flow over complex terrain. The use of both Reynolds-Averaged Navier Stokes (RANS) and large-eddy (LES) simulations is explored for wind energy applications using the Weather Research and Forecasting (WRF) model. To adequately resolve terrain and turbulence in the atmospheric boundary layer, grid nesting is used to refine the grid from mesoscale to finer scales. This paper examines the performance of the grid nesting configuration, turbulence closures, and resolution (up to as fine as 100 m horizontal spacing) for simulations of synoptically and locally driven wind ramping events at a West Coast North American wind farm. Interestingly, little improvement is found when using higher resolution simulations or better resolved turbulence closures in comparison to observation data available for this particular site. This is true for week-long simulations as well, where finer resolution runs show only small changes in the distribution of wind speeds or turbulence intensities. It appears that the relatively simple topography of this site is adequately resolved by all model grids (even as coarse as 2.7 km) so that all resolutions are able to model the physics at similar accuracy. The accuracy of the results is shown in this paper to be more dependent on the parameterization of the land-surface characteristics such as soil moisture rather than on grid resolution.

  12. Building Energy Simulation & Modeling | Department of Energy

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l DeInsulation at the Edge of aCamberlyEnergy Amir Roth,Lead

  13. REAL-TIME BUILDING ENERGY SIMULATION USING ENERGYPLUS AND THE BUILDING CONTROLS VIRTUAL TEST BED

    E-Print Network [OSTI]

    REAL-TIME BUILDING ENERGY SIMULATION USING ENERGYPLUS AND THE BUILDING CONTROLS VIRTUAL TEST BED as simulated of EnergyPlus. The Building Control Virtual Test Bed (BCVTB) is used as the software platform. INTRODUCTION EnergyPlus (US DOE, 2010; Crawley et al., 2001) is a detailed first principles based simulation

  14. Energy Minimization of Protein Tertiary Structure by Parallel Simulated Annealing using Genetic Crossover

    E-Print Network [OSTI]

    Dongarra, Jack

    Energy Minimization of Protein Tertiary Structure by Parallel Simulated Annealing using Genetic Simulated Annealing using Genetic Crossover (PSA/GAc) has a high searching capability on an energy of the energy function has been studied. Simulated Annealing (SA) has often been employed as the optimiza- tion

  15. Coarse-Grained Simulations of Protein-Protein Association: An Energy Landscape Perspective

    E-Print Network [OSTI]

    Yang, Sichun

    Coarse-Grained Simulations of Protein-Protein Association: An Energy Landscape Perspective simulation pipeline to study protein-protein association from an energy landscape perspective. First of MD simulations and a simplified CG protein model with an emphasis on the energy landscape aspects

  16. Energy-aware simulation with DVFS Tom Guerouta,b,c

    E-Print Network [OSTI]

    Calheiros, Rodrigo N.

    Energy-aware simulation with DVFS Tom Gu´erouta,b,c , Thierry Monteila,c , Georges Da Costab are specifically devel- oped for modelling networks and only a few of them simulate energy-efficiency algorithms. This article describes which tools need to be implemented in a simulator in order to compute energy

  17. A Scalable Parallel Monte Carlo Method for Free Energy Simulations of Molecular Systems

    E-Print Network [OSTI]

    Chan, Derek Y C

    A Scalable Parallel Monte Carlo Method for Free Energy Simulations of Molecular Systems MALEK O for problems where the energy dominates the entropy. An example is parallel tempering, in which simulations the free energy of the system as a direct output of the simulation. Traditional Metropolis MC samples phase

  18. Solution characters of iterative coupling between energy simulation and CFD programs

    E-Print Network [OSTI]

    Chen, Qingyan "Yan"

    1 Solution characters of iterative coupling between energy simulation and CFD programs Zhiqiang Energy simulation (ES) and computational fluid dynamics (CFD) provide important and complementary information for building energy and indoor environment designs. A coupled ES and CFD simulation can eliminate

  19. A SOFTWARE TOOL TO COMPARE MEASURED AND SIMULATED BUILDING ENERGY PERFORMANCE

    E-Print Network [OSTI]

    LBNL-6184E A SOFTWARE TOOL TO COMPARE MEASURED AND SIMULATED BUILDING ENERGY PERFORMANCE DATA of California. #12;A SOFTWARE TOOL TO COMPARE MEASURED AND SIMULATED BUILDING ENERGY PERFORMANCE DATA Tobias goals. To link design goals to actual operation one can compare measured with simulated energy

  20. Energy-aware simulation with DVFS Tom Gurout a,b,c,

    E-Print Network [OSTI]

    Buyya, Rajkumar

    Energy-aware simulation with DVFS Tom Guérout a,b,c, , Thierry Monteil a,c , Georges Da Costa b Keywords: Grid computing Cloud computing Simulation Energy-efficiency DVFS a b s t r a c t In recent years, others are specifically developed for modeling networks, but only a few of them simulate energy

  1. Test Procedures for Building Energy Simulation Tools | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCEDInstallers/ContractorsPhotovoltaics »TanklessResearchEnergy Test Methods StandingTest

  2. Simulation of neutrons produced by high-energy muons underground

    E-Print Network [OSTI]

    A. Lindote; H. M. Araujo; V. A. Kudryavtsev; M. Robinson

    2009-02-12

    This article describes the Monte Carlo simulation used to interpret the measurement of the muon-induced neutron flux in the Boulby Underground Laboratory (North Yorkshire, UK), recently performed using a large scintillator veto deployed around the ZEPLIN-II WIMP detector. Version 8.2 of the GEANT4 toolkit was used after relevant benchmarking and validation of neutron production models. In the direct comparison between Monte Carlo and experimental data, we find that the simulation produces a 1.8 times higher neutron rate, which we interpret as over-production in lead by GEANT4. The dominance of this material in neutron production allows us to estimate the absolute neutron yield in lead as (1.31 +/- 0.06) x 10^(-3) neutrons/muon/(g/cm^2) for a mean muon energy of 260 GeV. Simulated nuclear recoils due to muon-induced neutrons in the ZEPLIN-II target volume (~1 year exposure) showed that, although a small rate of events is expected from this source of background in the energy range of interest for dark matter searches, no event survives an anti-coincidence cut with the veto.

  3. An indoorâ??outdoor building energy simulator to study urban modification effects on building energy use â?? Model description and validation

    E-Print Network [OSTI]

    Yaghoobian, Neda; Kleissl, Jan

    2012-01-01

    improve building energy simulation in  an  urban context, 38] J.A.  Clarke, Energy Simulation in Building Design, J.  Neymark, Building Energy Simulation Test (BESTEST) and 

  4. WINS. Market Simulation Tool for Facilitating Wind Energy Integration

    SciTech Connect (OSTI)

    Shahidehpour, Mohammad

    2012-10-30

    Integrating 20% or more wind energy into the system and transmitting large sums of wind energy over long distances will require a decision making capability that can handle very large scale power systems with tens of thousands of buses and lines. There is a need to explore innovative analytical and implementation solutions for continuing reliable operations with the most economical integration of additional wind energy in power systems. A number of wind integration solution paths involve the adoption of new operating policies, dynamic scheduling of wind power across interties, pooling integration services, and adopting new transmission scheduling practices. Such practices can be examined by the decision tool developed by this project. This project developed a very efficient decision tool called Wind INtegration Simulator (WINS) and applied WINS to facilitate wind energy integration studies. WINS focused on augmenting the existing power utility capabilities to support collaborative planning, analysis, and wind integration project implementations. WINS also had the capability of simulating energy storage facilities so that feasibility studies of integrated wind energy system applications can be performed for systems with high wind energy penetrations. The development of WINS represents a major expansion of a very efficient decision tool called POwer Market Simulator (POMS), which was developed by IIT and has been used extensively for power system studies for decades. Specifically, WINS provides the following superiorities; (1) An integrated framework is included in WINS for the comprehensive modeling of DC transmission configurations, including mono-pole, bi-pole, tri-pole, back-to-back, and multi-terminal connection, as well as AC/DC converter models including current source converters (CSC) and voltage source converters (VSC); (2) An existing shortcoming of traditional decision tools for wind integration is the limited availability of user interface, i.e., decision results are often text-based demonstrations. WINS includes a powerful visualization tool and user interface capability for transmission analyses, planning, and assessment, which will be of great interest to power market participants, power system planners and operators, and state and federal regulatory entities; and (3) WINS can handle extended transmission models for wind integration studies. WINS models include limitations on transmission flow as well as bus voltage for analyzing power system states. The existing decision tools often consider transmission flow constraints (dc power flow) alone which could result in the over-utilization of existing resources when analyzing wind integration. WINS can be used to assist power market participants including transmission companies, independent system operators, power system operators in vertically integrated utilities, wind energy developers, and regulatory agencies to analyze economics, security, and reliability of various options for wind integration including transmission upgrades and the planning of new transmission facilities. WINS can also be used by industry for the offline training of reliability and operation personnel when analyzing wind integration uncertainties, identifying critical spots in power system operation, analyzing power system vulnerabilities, and providing credible decisions for examining operation and planning options for wind integration. Researches in this project on wind integration included (1) Development of WINS; (2) Transmission Congestion Analysis in the Eastern Interconnection; (3) Analysis of 2030 Large-Scale Wind Energy Integration in the Eastern Interconnection; (4) Large-scale Analysis of 2018 Wind Energy Integration in the Eastern U.S. Interconnection. The research resulted in 33 papers, 9 presentations, 9 PhD degrees, 4 MS degrees, and 7 awards. The education activities in this project on wind energy included (1) Wind Energy Training Facility Development; (2) Wind Energy Course Development.

  5. Sandia Energy - Large Eddy Simulation (LES) of Engines

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)Geothermal Energy &Water Power ProgramLarge Eddy Simulation (LES) of

  6. Sandia Energy - Large Eddy Simulation (LES) of Engines

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)Geothermal Energy &Water Power ProgramLarge Eddy Simulation (LES)

  7. EnergyPlus Weather Data for use with EnergyPlus Simulation Software

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    EnergyPlus is simulation software from DOE's Office of Energy Efficiency and Renewable Energy (EE) that models heating, cooling, lighting, ventilating, and other energy flows as well as water in buildings. Because the environment surrounding any building is an important component of the energy choices that go into the building's design and the energy performance of that building thereafter, weather data from all parts of the world are made available through the EnergyPlus web site. The data are collected from more than 2100 locations — 1042 locations in the USA, 71 locations in Canada, and more than 1000 locations in 100 other countries throughout the world. The weather data are arranged by World Meteorological Organization region and Country. In addition to using the weather data via the utility installed automatically with EnergyPlus software, users may view and download EnergyPlus weather data directly using a weather data layer for Google Earth.

  8. An Efficient Instantiation Algorithm for Simulating Radiant Energy Transfer in Plant Models

    E-Print Network [OSTI]

    Boyer, Edmond

    An Efficient Instantiation Algorithm for Simulating Radiant Energy Transfer in Plant Models Cyril CIRAD/INRIA We describe a complete lighting simulation system tailored for the difficult case growth simulation. Other applications of our system range from landscape simulation to agronomical

  9. An Energy Model for Simulation Studies of Wireless Sensor Networks using OMNeT++

    E-Print Network [OSTI]

    Breu, Ruth

    An Energy Model for Simulation Studies of Wireless Sensor Networks using OMNeT++ Feng Chen, Isabel for the simulation frame- work OMNeT++. The model allows to accurately evaluate the energy performance (in terms Simulation is frequently used to evaluate the performance of networking algorithms and techniques in wireless

  10. Energy and enstrophy transfer in numerical simulations of two-dimensional' turbulence

    E-Print Network [OSTI]

    Vallis, Geoff

    Energy and enstrophy transfer in numerical simulations of two-dimensional' turbulence Mathew E a significant fraction of the flow field,w and energy spectra from these simulations have slopes significantly October 1992; accepted 25 March 1993) Numerical simulations of statistically steady two-dimensional (2-D

  11. Simulation-based assessment of the energy savings benefits of integrated control in office buildings

    E-Print Network [OSTI]

    Hong, T.

    2011-01-01

    Consumption Survey. EnergyPlus (2008). U.S. Department ofin office buildings. A n EnergyPlus medium office benchmarkSimulation cases were run in EnergyPlus V3.0.0 for building

  12. Using the BEopt Automated Residential Simulation Test Suite to Enable Comparative Analysis Between Energy Simulation Engines: Preprint

    SciTech Connect (OSTI)

    Tabares-Velasco, P. C.; Maguire, J.; Horowitz, S.; Christensen, C.

    2014-09-01

    Verification and validation are crucial software quality control procedures when developing and implementing models. This is particularly important as a variety of stakeholders rely on accurate predictions from building simulation programs. This study uses the BEopt Automated Residential Simulation Test Suite (BARTS) to facilitate comparison of two energy simulation engines across various building components and includes models that isolate the impacts of specific building components on annual energy consumption. As a case study, BARTS has been used to identify important discrepancies between the engines for several components of the building models; these discrepancies are caused by differences in the models used by the engines or coding errors.

  13. Using the Beopt Automated Residential Simulation Test Suite to Enable Comparative Analysis Between Energy Simulation Engines: Preprint

    SciTech Connect (OSTI)

    Tabares-Velasco, Paulo Cesar; Maguire, Jeff; Horowitz, Scott; Christensen, Craig

    2014-09-01

    Verification and validation are crucial software quality control procedures to follow when developing and implementing models. This is particularly important because a variety of stakeholders rely on accurate predictions from building simulation programs. This study uses the BEopt Automated Residential Simulation Test Suite (BARTS) to facilitate comparison of two energy simulation engines across various building components and includes building models that isolate the impacts of specific components on annual energy consumption. As a case study, BARTS has been used to identify important discrepancies between the engines for several components of the building models. These discrepancies are caused by differences in the algorithms used by the engines or coding errors.

  14. Survey and Analysis of Weather Data for Building Energy Simulations

    SciTech Connect (OSTI)

    Bhandari, Mahabir S [ORNL; Shrestha, Som S [ORNL; New, Joshua Ryan [ORNL

    2012-01-01

    In recent years, calibrated energy modeling of residential and commercial buildings has gained importance in a retrofit-dominated market. Accurate weather data plays an important role in this calibration process and projected energy savings. It would be ideal to measure weather data at the building location to capture relevant microclimate variation but this is generally considered cost-prohibitive. There are data sources publicly available with high temporal sampling rates but at relatively poor geospatial sampling locations. To overcome this limitation, there are a growing number of service providers that claim to provide real time and historical weather data for 20-35 km2 grid across the globe. Unfortunately, there is limited documentation from 3rd-party sources attesting to the accuracy of this data. This paper compares provided weather characteristics with data collected from a weather station inaccessible to the service providers. Monthly average dry bulb temperature; relative humidity; direct, diffuse and horizontal solar radiation; and wind speed are statistically compared. Moreover, we ascertain the relative contributions of each weather variable and its impact on building loads. Annual simulations are calculated for three different building types, including a closely monitored and automated energy efficient research building. The comparison shows that the difference for an individual variable can be as high as 90%. In addition, annual building energy consumption can vary by 7% while monthly building loads can vary by 40% as a function of the provided location s weather data.

  15. Improved Building Energy Performance Modelling through Comparison of Measured Data with Simulated Results 

    E-Print Network [OSTI]

    Bambrook, S.; Jacob, D.

    2008-01-01

    the building and comparing simulated results to the measured data. The simulated building energy performance results achieved in the first stage of computer modelling show a reasonable correlation with measured data, however, further work is required to create...

  16. Origins of Analysis Methods in Energy Simulation Programs Used for High Performance Commercial Buildings 

    E-Print Network [OSTI]

    Oh, Sukjoon

    2013-08-19

    Current designs of high performance buildings utilize hourly building energy simulations of complex, interacting systems. Such simulations need to quantify the benefits of numerous features including: thermal mass, HVAC ...

  17. The MIT Design Advisor : simple and rapid energy simulation of early-stage building designs

    E-Print Network [OSTI]

    Urban, Bryan J. (Bryan James)

    2007-01-01

    Simulation tools, when applied early in the design process, can considerably reduce the energy demand of newly constructed buildings. For a simulation tool to assist with design, it must be easy to use, provide feedback ...

  18. Quantum Simulation of Energy Transport with Embedded Rydberg Aggregates D. W. Schnleber,1

    E-Print Network [OSTI]

    Eisfeld, Alexander

    Quantum Simulation of Energy Transport with Embedded Rydberg Aggregates D. W. Schönleber,1 A as an aggregate for simulating exciton dynamics and energy transport with a controlled environment. Energetic for energy transport. The transport can be monitored using the same mechanism that provides control over

  19. Performance of coupled building energy and CFD simulations Zhiqiang John Zhaia,*, Qingyan Yan Chenb

    E-Print Network [OSTI]

    Zhai, John Z.

    a coupled energy simulation and computational fluid dynamics program with different coupling methods/cooling energy required and building envelope thermal information, such as surface temperature and heat fluxPerformance of coupled building energy and CFD simulations Zhiqiang John Zhaia,*, Qingyan Yan Chenb

  20. Modelling Business Energy Consumption using Agent-based Simulation Modelling Jason Wong and Kay Cao1

    E-Print Network [OSTI]

    to develop a prototype agent based simulation model for business energy consumption, using data from the 2008 presents a framework of the model for estimating business energy consumption. Section V discusses the dataModelling Business Energy Consumption using Agent-based Simulation Modelling Jason Wong and Kay Cao

  1. Statistical Simulation to Estimate Uncertain Behavioral Parameters of Hybrid Energy-Economy Models

    E-Print Network [OSTI]

    functions. Policies that change energy prices, such as a tax on GHG emissions, can be simulated for their effect on output, energy demand, and, as a result, emissions. The model responses to these price changesStatistical Simulation to Estimate Uncertain Behavioral Parameters of Hybrid Energy-Economy Models

  2. WRF/Chem Simulations Over Fairbanks, AK Atmospheric Stability and Energy Correlation

    E-Print Network [OSTI]

    Moelders, Nicole

    1 WRF/Chem Simulations Over Fairbanks, AK Atmospheric Stability and Energy Correlation Analysis deposition. #12;3 The interactions and cycles of energy, water and trace gas components are also simulated, Alaska, that is characteristic of the Tanana valley; Specifically, Turbulent Kinetic Energy (TKE

  3. Energy-based adaptation in simulations of survivability of ad hoc communication

    E-Print Network [OSTI]

    Energy-based adaptation in simulations of survivability of ad hoc communication Massimiliano Raciti by the IDS. The approach is based on a model for accounting CPU energy consumption in network simulation are overloaded or not available. Unfortunately, the constrained capacity of their batteries and the energy

  4. Cyclogenesis Simulation of Typhoon Prapiroon (2000) Associated with Rossby Wave Energy Dispersion*

    E-Print Network [OSTI]

    Li, Tim

    2000-01-01

    Cyclogenesis Simulation of Typhoon Prapiroon (2000) Associated with Rossby Wave Energy Dispersion (2000), in the western North Pacific, is simulated to understand the role of Rossby wave energy process is through the conventional barotropic Rossby wave energy dispersion, which enhances the low

  5. SENSITIVITY ANALYSIS AND APPLICATION GUIDES FOR INTEGRATED BUILDING ENERGY AND CFD SIMULATION

    E-Print Network [OSTI]

    Chen, Qingyan "Yan"

    1 SENSITIVITY ANALYSIS AND APPLICATION GUIDES FOR INTEGRATED BUILDING ENERGY AND CFD SIMULATION Engineering Purdue University 585 Purdue Mall, West Lafayette, IN 47907-2088, USA Abstract Building energy suggestions on appropriate usage of the coupling simulation are provided. 1. Introduction Building energy

  6. Performance of Coupled Building Energy and CFD Simulations Zhiqiang (John) Zhai

    E-Print Network [OSTI]

    Chen, Qingyan "Yan"

    Performance of Coupled Building Energy and CFD Simulations Zhiqiang (John) Zhai Department of Civil, West Lafayette, IN 47907-2088, USA Abstract The integration of building energy simulation (ES) and computational fluid dynamics (CFD) programs can provide more accurate prediction of building energy use

  7. Cold Climate Foundation Retrofit Energy Savings: The Simulated Energy and Experimental Hygrothermal Performance of Cold Climate Foundation Wall Insulation Retrofit Measures -- Phase I, Energy Simulation

    SciTech Connect (OSTI)

    Goldberg, L. F.; Steigauf, B.

    2013-04-01

    A split simulation whole building energy/3-dimensional earth contact model (termed the BUFETS/EnergyPlus Model or BEM) capable of modeling the full range of foundation systems found in the target retrofit housing stock has been extensively tested. These foundation systems that include abovegrade foundation walls, diabatic floors or slabs as well as lookout or walkout walls, currently cannot be modeled within BEopt.

  8. Cold Climate Foundation Retrofit Energy Savings. The Simulated Energy and Experimental Hygrothermal Performance of Cold Climate Foundation Wall Insulation Retrofit Measures -- Phase I, Energy Simulation

    SciTech Connect (OSTI)

    Goldberg, Louise F.; Steigauf, Brianna

    2013-04-01

    A split simulation whole building energy / 3-dimensional earth contact model (termed the BUFETS/EnergyPlus Model or BEM) capable of modeling the full range of foundation systems found in the target retrofit housing stock has been extensively tested. These foundation systems that include abovegrade foundation walls, diabatic floors or slabs as well as lookout or walkout walls, currently cannot be modeled within BEopt.

  9. Developing an integrated building design tool by coupling building energy simulation and computational fluid dynamics programs

    E-Print Network [OSTI]

    Zhai, Zhiqiang, 1971-

    2003-01-01

    Building energy simulation (ES) and computational fluid dynamics (CFD) can play important roles in building design by providing essential information to help design energy-efficient, thermally comfortable and healthy ...

  10. MODELICA LIBRARY FOR SIMULATING ENERGY CONSUMPTION OF AUXILIARY UNITS IN HEAVY VEHICLES1

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    MODELICA LIBRARY FOR SIMULATING ENERGY CONSUMPTION OF AUXILIARY UNITS IN HEAVY VEHICLES1 Niklas vehicle models that can be used to evaluate alternative architectures for the drive of auxiliary units in heavy vehicles. With aid of the simulation models, the energy savings of new designs can be assessed

  11. An Energy Localization Principle and its Application to Fast Kinetic Monte Carlo Simulation of Heteroepitaxial

    E-Print Network [OSTI]

    Schulze, Tim

    An Energy Localization Principle and its Application to Fast Kinetic Monte Carlo Simulation of Michigan, Ann Arbor, MI 48109-1109 Abstract Simulation of heteroepitaxial growth using kinetic Monte Carlo (KMC) is often based on rates determined by differences in elastic energy between two configurations

  12. Microprocessor Energy Characterization and Optimization through Fast, Accurate, and Flexible Simulation

    E-Print Network [OSTI]

    and my family for their love and support. 5 #12;6 #12;Contents 1 Introduction 13 2 Energy Simulation 15 2Microprocessor Energy Characterization and Optimization through Fast, Accurate, and Flexible Simulation by Ronny Krashinsky B.S. Electrical Engineering and Computer Science University of California

  13. A PRODUCTION SIMULATION TOOL FOR SYSTEMS WITH INTEGRATED WIND ENERGY RESOURCES

    E-Print Network [OSTI]

    Gross, George

    A PRODUCTION SIMULATION TOOL FOR SYSTEMS WITH INTEGRATED WIND ENERGY RESOURCES BY NICOLAS BENOIT of renewable energy sources in order to reduce CO2 emissions. In fact, several jurisdictions around the world production simulation tool with the capability to quantify the variable effects of systems with varying wind

  14. ccsd00001969, Particle-in-cell simulations of high energy electron

    E-Print Network [OSTI]

    ccsd­00001969, version 2 ­ 23 Oct 2004 Particle-in-cell simulations of high energy electron energy electrons from the underdense plasmas are investigated using two dimensional particle- in-cell simulations. When the ratio of the laser power and a critical power of relativistic self

  15. Greening the terrestrial biosphere: simulated feedbacks on atmospheric heat and energy circulation

    E-Print Network [OSTI]

    Cowling, Sharon A.

    Greening the terrestrial biosphere: simulated feedbacks on atmospheric heat and energy circulation on atmospheric exchange of heat and moisture. Our CONTROL simulation had a mean global net primary production (NPP) of 56.3 GtCyr-1 which is half that of our scenario value of 115.1 GtCyr-1 . LAI and latent energy

  16. AN ADAPTIVE MIXED SCHEME FOR ENERGY-TRANSPORT SIMULATIONS OF FIELD-EFFECT TRANSISTORS

    E-Print Network [OSTI]

    Pietra, Paola

    AN ADAPTIVE MIXED SCHEME FOR ENERGY-TRANSPORT SIMULATIONS OF FIELD-EFFECT TRANSISTORS #3; STEFAN HOLST, ANSGAR J  UNGEL y AND PAOLA PIETRA z Abstract. Energy-transport models are used in semiconductor simulations to account for ther- mal e#11;ects. The model consists of the continuity equations for the mass

  17. Rotational energy analysis for rotatingvibrating linear molecules in classical trajectory simulation

    E-Print Network [OSTI]

    Kim, Myung Soo

    investigation,26 the mode-specific analy- sis of product energy in classical trajectory simulation, the aboveRotational energy analysis for rotating­vibrating linear molecules in classical trajectory simulation Sang Tae Park, Jeong Hee Moon, and Myung Soo Kima) Department of Chemistry and Center

  18. Simulation method for calculating the entropy and free energy of peptides and proteins

    E-Print Network [OSTI]

    Meirovitch, Hagai

    Simulation method for calculating the entropy and free energy of peptides and proteins Srinath for calculating the absolute entropy, S, and free energy, F, of fluids. Here, the method is extended to peptide determined (the ``frozen past''), and the TP is ob- tained from a Monte Carlo simulation of the (future) part

  19. MAPPING HVAC SYSTEMS FOR SIMULATION IN ENERGYPLUS

    E-Print Network [OSTI]

    Basarkar, Mangesh

    2013-01-01

    Semi-Automated Building Energy Performance Simulation, in:Simulation of Energy Performance, in: Building Simulation

  20. An Energy Framework for the Network Simulator 3 (ns-3) He Wu, Sidharth Nabar and Radha Poovendran

    E-Print Network [OSTI]

    Poovendran, Radha

    An Energy Framework for the Network Simulator 3 (ns-3) He Wu, Sidharth Nabar and Radha Poovendran and easy-to-use tool suitable for wireless network simulation. Since energy consumption is a key issue the underlying simulator to support energy consumption and energy source modeling. Currently how- ever, ns-3 does

  1. The effect of ankle foot orthosis stiffness on the energy cost of walking: A simulation study

    E-Print Network [OSTI]

    Collins, Steven H.

    The effect of ankle foot orthosis stiffness on the energy cost of walking: A simulation study D by weakness of the plantar-flexor muscles. To enhance ankle push-off and to decrease the high energy cost on the amount of energy stored in the Ankle Foot Orthosis and the energy cost of walking. Methods: We developed

  2. Dynamic Simulation and Analysis of Heating Energy Consumption in a Residential Building 

    E-Print Network [OSTI]

    Liu, J.; Yang, M.; Zhao, X.; Zhu, N.

    2006-01-01

    In winter, much of the building energy is used for heating in the north region of China. In this study, the heating energy consumption of a residential building in Tianjin during a heating period was simulated by using the EnergyPlus energy...

  3. Simulation of energy performance of underfloor air distribution (UFAD) systems

    E-Print Network [OSTI]

    2009-01-01

    plan. 9. Compare the energy usage between UFAD and OHthe differences in energy usage and peak demand betweenperformance (based on site energy usage) was best when

  4. Modeling and simulations of electrical energy storage in electrochemical capacitors

    E-Print Network [OSTI]

    Wang, Hainan

    2013-01-01

    applica- tions,” Energy & Environmental Science, vol. 1, no.conversion,” Energy & Environmental Science, vol. 1, no. 6,electrolytes,” Energy & Environmental Science, vol. 4, no.

  5. Modeling and simulations of electrical energy storage in electrochemical capacitors

    E-Print Network [OSTI]

    Wang, Hainan

    2013-01-01

    3D nanoarchitec- tures for energy storage and conversion,”functionality in energy storage materials and devices byto electrochemical energy storage in TiO 2 (anatase)

  6. SIMES: A Simulator for Hybrid Electrical Energy Storage Systems Siyu Yue, Di Zhu, Yanzhi Wang, and Massoud Pedram

    E-Print Network [OSTI]

    Pedram, Massoud

    SIMES: A Simulator for Hybrid Electrical Energy Storage Systems Siyu Yue, Di Zhu, Yanzhi Wang Electrical Energy Storage System, Simulator 1. Introduction An electrical energy storage (EES) system to store a higher grade of energy compared to other energy storage systems since electrical energy has

  7. SIMMODEL: A DOMAIN DATA MODEL FOR WHOLE BUILDING ENERGY SIMULATION

    E-Print Network [OSTI]

    O'Donnell, James

    2013-01-01

    of a user interface for the EnergyPlus whole building energy2004) IFC HVAC Interface to EnergyPlus - A Case of Expandedsoftware. Tools such as EnergyPlus and DOE-2 use custom

  8. Simulating a Nationally Representative Housing Sample Using EnergyPlus

    E-Print Network [OSTI]

    Hopkins, Asa S.

    2011-01-01

    Fuel Primary Energy New England Middle Atlantic East NorthEnergy Energy New England Middle Atlantic East North CentralFuel Primary Energy New England Middle Atlantic East North

  9. Energy Distribution of Nanoflares in Three-Dimensional Simulations of

    E-Print Network [OSTI]

    Ng, Chung-Sang

    , University of New Hampshire 11th Annual International Astrophysics Conference, Palm Springs, CA March 21 statistics Coronal Heating: Scaling Simulations #12; Magnetohydrodynamics (MHD): - Applies to electrically

  10. Sandia Energy - Consortium for Advanced Simulation of Light-Water...

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

    the modeling simulation tools built during its first phase to include additional nuclear reactor designs, including small, modular reactors. "As President Obama made clear...

  11. Extending and formalizing the energy signature method for calibrating simulations and illustrating with application for three California climates 

    E-Print Network [OSTI]

    Bensouda, Nabil

    2004-11-15

    for calibrated simulation in recent years (IPMVP 2001, Liu and Claridge 1998). They discussed potential uses for calibrated simulation, which include: ???? energy audits, to determine the potential savings from proposed retrofit measures; ???? energy...

  12. Simulation of MGI Efficiency for Plasma Energy Conversion into Ar Radiation in JET and Implications for ITER

    E-Print Network [OSTI]

    Simulation of MGI Efficiency for Plasma Energy Conversion into Ar Radiation in JET and Implications for ITER

  13. Simulation of energy performance of underfloor air distribution (UFAD) systems

    E-Print Network [OSTI]

    2009-01-01

    UFAD. 4. Confirm that EnergyPlus has the capability performthe UFAD model within EnergyPlus to account for deficienciesthe capabilities of EnergyPlus to model practical situation.

  14. Behavioral Aspects in Simulating the Future US Building Energy Demand

    E-Print Network [OSTI]

    Stadler, Michael

    2011-01-01

    Floor-space forecast to 2050 Gross demand for energy Macro-Floor-space forecast to 2050 Gross demand for energy Macro-Floor-space forecast to 2050 Gross demand for energy Macro-

  15. Supplementary material: CPO simulation of the backscattered SPR energy loss electrons under the condition of our experiment.

    E-Print Network [OSTI]

    Loss, Daniel

    Supplementary material: CPO simulation of the backscattered SPR energy loss electrons under the condition of our experiment. Fig.1 Simulated trajectories of backscattered electrons with energy loss 3.7e Simulated trajectories of backscattered electrons with energy loss 3.7eV at tip-sample distance 150m under

  16. Sandia Energy - Sandians as Guest Editors of Modeling & Simulation...

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

    in worldwide energy production, from electrifying trans-portation to enhancing renewable-energy production, depend on developing economical, reliable batteries with improved...

  17. Groundwater flow with energy transport and waterice phase change: Numerical simulations, benchmarks, and application to

    E-Print Network [OSTI]

    McKenzie, Jeffrey M.

    Groundwater flow with energy transport and water­ice phase change: Numerical simulations saturated, coupled porewater-energy transport, with freezing and melting porewater, and includes propor for groundwater and energy transport with ice formation and melting are proposed that may be used by other

  18. Energy Production, Frictional Dissipation, and Maximum Intensity of a Numerically Simulated Tropical Cyclone

    E-Print Network [OSTI]

    Wang, Yuqing

    0 Energy Production, Frictional Dissipation, and Maximum Intensity of a Numerically Simulated is eventually dissipated due to surface friction. Since the energy production rate is a linear function while intensifies. When the dissipation rate eventually reaches the production rate, the TC has no excess energy

  19. Energy Production, Frictional Dissipation, and Maximum Intensity of a Numerically Simulated Tropical Cyclone*

    E-Print Network [OSTI]

    Wang, Yuqing

    Energy Production, Frictional Dissipation, and Maximum Intensity of a Numerically Simulated is eventually dissipated due to surface friction. Since the energy production rate is a linear function while intensifies. When the dissipation rate eventually reaches the production rate, the TC has no excess energy

  20. HomeSim: Comprehensive, Smart, Residential Electrical Energy Simulation and Scheduling

    E-Print Network [OSTI]

    Simunic, Tajana

    that enables investigating the impact of technologies such as renewable energy and different battery types residential energy management system should be architected. This is one of the key motivations behindHomeSim: Comprehensive, Smart, Residential Electrical Energy Simulation and Scheduling J. Venkatesh

  1. A simulation method for calculating the absolute entropy and free energy of fluids: Application to

    E-Print Network [OSTI]

    Meirovitch, Hagai

    A simulation method for calculating the absolute entropy and free energy of fluids: Application is a general approach for calculating the absolute entropy and free energy by analyzing Boltzmann samples and the TIP3P model of water, and very good results for the free energy are obtained, as compared with results

  2. SensEH: From Simulation to Deployment of Energy Harvesting Wireless Sensor Networks

    E-Print Network [OSTI]

    Picco, Gian Pietro

    SensEH: From Simulation to Deployment of Energy Harvesting Wireless Sensor Networks Riccardo Dall@fbk.eu Abstract--Energy autonomy and system lifetime are critical concerns in wireless sensor networks (WSNs problem. Indeed, in many cases the energy density--whether solar, wind, vibrational or thermal in nature

  3. Energy Policy 35 (2007) 91111 Simulating price patterns for tradable green certificates to promote

    E-Print Network [OSTI]

    Ford, Andrew

    2007-01-01

    Energy Policy 35 (2007) 91­111 Simulating price patterns for tradable green certificates to promote; Tradable green certificates; Renewable energy credits 1. Introduction The purpose of this article of Energy and Process Engineering, Norwegian University of Science and Technology, Kolbjorn Hejes vei 1B

  4. SIMULATION OF ENERGY SELECTIVE X-RAY IMAGES FOR MATERIAL DIS-CRIMINATION

    E-Print Network [OSTI]

    Hickman, Mark

    SIMULATION OF ENERGY SELECTIVE X-RAY IMAGES FOR MATERIAL DIS- CRIMINATION Rune S Thing1 , Syen J model can be applied to any material combination and any number of energy bins. Figure: Top row Carlo model is presented to evaluate the clinical benefits of optimal energy bins in spectral X

  5. Energy Budget-Based Simulation of Evapotranspiration from Land in the Great Lakes Basin

    E-Print Network [OSTI]

    Energy Budget-Based Simulation of Evapotranspiration from Land in the Great Lakes Basin Primary-available data for change in net radiative energy for land surfaces in the same region in the same general energy available in this region according to the corresponding GCM. Thus there is a mismatch: While air

  6. A coupled RISM/MD or MC simulation methodology for solvation free energies

    E-Print Network [OSTI]

    Truong, Thanh N.

    A coupled RISM/MD or MC simulation methodology for solvation free energies Holly Freedman, Thanh N methods for determination of solvation free energies. We employ the RISM formulation of solvation free-netted chain equations. We apply this approach to determining free energies of solvation for several small

  7. Tropical Cyclogenesis Associated with Rossby Wave Energy Dispersion of a Preexisting Typhoon. Part II: Numerical Simulations*

    E-Print Network [OSTI]

    Wang, Bin

    Tropical Cyclogenesis Associated with Rossby Wave Energy Dispersion of a Preexisting Typhoon. Part (1987) and Fiorino and Els- berry (1989) showed that a cyclonic vortex experiences Rossby wave energy) ABSTRACT The cyclogenesis events associated with the tropical cyclone (TC) energy dispersion are simulated

  8. NREL researchers discover ways to increase accuracy in building energy simulations tools to improve predictions of

    E-Print Network [OSTI]

    NREL researchers discover ways to increase accuracy in building energy simulations tools to improve calculate heat transfer through building enclosures to verify the benefit of energy efficiency upgrades) analysis to calculate the energy loss/gain through building walls and visualize different heat transfer

  9. Reactor Subsystem Simulation for Nuclear Hybrid Energy Systems

    SciTech Connect (OSTI)

    Shannon Bragg-Sitton; J. Michael Doster; Alan Rominger

    2012-09-01

    Preliminary system models have been developed by Idaho National Laboratory researchers and are currently being enhanced to assess integrated system performance given multiple sources (e.g., nuclear + wind) and multiple applications (i.e., electricity + process heat). Initial efforts to integrate a Fortran-based simulation of a small modular reactor (SMR) with the balance of plant model have been completed in FY12. This initial effort takes advantage of an existing SMR model developed at North Carolina State University to provide initial integrated system simulation for a relatively low cost. The SMR subsystem simulation details are discussed in this report.

  10. Nesting large-eddy simulations within mesoscale simulations for wind energy applications

    SciTech Connect (OSTI)

    Lundquist, J K; Mirocha, J D; Chow, F K; Kosovic, B; Lundquist, K A

    2008-09-08

    With increasing demand for more accurate atmospheric simulations for wind turbine micrositing, for operational wind power forecasting, and for more reliable turbine design, simulations of atmospheric flow with resolution of tens of meters or higher are required. These time-dependent large-eddy simulations (LES), which resolve individual atmospheric eddies on length scales smaller than turbine blades and account for complex terrain, are possible with a range of commercial and open-source software, including the Weather Research and Forecasting (WRF) model. In addition to 'local' sources of turbulence within an LES domain, changing weather conditions outside the domain can also affect flow, suggesting that a mesoscale model provide boundary conditions to the large-eddy simulations. Nesting a large-eddy simulation within a mesoscale model requires nuanced representations of turbulence. Our group has improved the Weather and Research Forecasting model's (WRF) LES capability by implementing the Nonlinear Backscatter and Anisotropy (NBA) subfilter stress model following Kosovic (1997) and an explicit filtering and reconstruction technique to compute the Resolvable Subfilter-Scale (RSFS) stresses (following Chow et al, 2005). We have also implemented an immersed boundary method (IBM) in WRF to accommodate complex terrain. These new models improve WRF's LES capabilities over complex terrain and in stable atmospheric conditions. We demonstrate approaches to nesting LES within a mesoscale simulation for farms of wind turbines in hilly regions. Results are sensitive to the nesting method, indicating that care must be taken to provide appropriate boundary conditions, and to allow adequate spin-up of turbulence in the LES domain.

  11. Simulating Environmental Changes Due to Marine Hydrokinetic Energy Installations

    E-Print Network [OSTI]

    Siefert, Chris

    increasing attention upon renewable energy as a global solution to both energy and environmental challenges. Renewable energy sources such as wind power, solar power, or hydroelectric dams are increasingly implemented their potential environmental effects. When MHK devices extract energy from a system, volumetric flows and tidal

  12. Hybrid Simulation Modeling to Estimate U.S. Energy Elasticities

    E-Print Network [OSTI]

    to Estimate U.S. Energy Elasticities Examining Committee: Chair: Jacob Fox Master of Resource Management energy efficiency index (AEEI) parameters. The ability of economies to reduce greenhouse gas emissions to calculate price- independent changes in energy-efficiency in the form of the AEEI, by comparing energy

  13. Office Of Nuclear Energy Annual Review Meeting Dynamic Simulation...

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

    Simulations of SMRs 2 FY14 molten salt cooled model deliverable due. n FY15 web application deliverable due. n FY15 model repository establishment due. n FY15...

  14. Simulation Models to Optimize the Energy Consumption of Buildings 

    E-Print Network [OSTI]

    Burhenne, S.; Jacob, D.

    2008-01-01

    In practice, building operation systems are only adjusted during commissioning. This is done manually and leads to failure-free but often inefficient operation. This work deals with the development of simulation models to describe and optimize...

  15. Mathematical modeling and computer simulation of processes in energy systems

    SciTech Connect (OSTI)

    Hanjalic, K.C. )

    1990-01-01

    This book is divided into the following chapters. Modeling techniques and tools (fundamental concepts of modeling); 2. Fluid flow, heat and mass transfer, chemical reactions, and combustion; 3. Processes in energy equipment and plant components (boilers, steam and gas turbines, IC engines, heat exchangers, pumps and compressors, nuclear reactors, steam generators and separators, energy transport equipment, energy convertors, etc.); 4. New thermal energy conversion technologies (MHD, coal gasification and liquefaction fluidized-bed combustion, pulse-combustors, multistage combustion, etc.); 5. Combined cycles and plants, cogeneration; 6. Dynamics of energy systems and their components; 7. Integrated approach to energy systems modeling, and 8. Application of modeling in energy expert systems.

  16. An energy preserving formulation for the simulation of multiphase turbulent flows.

    E-Print Network [OSTI]

    Fuster, Daniel

    scheme for the simulation of turbulent mul- tiphase flows. The method is based on the discretizationAn energy preserving formulation for the simulation of multiphase turbulent flows. Abstract formulation reduces the numerical diffusion with respect to previous formulations dealing with multiple phases

  17. Development of a geometric database structure and sketching interface for energy simulation software for buildings 

    E-Print Network [OSTI]

    Zareen, Hadiba

    1996-01-01

    user interfaces (GUls) and operates under the Windows operating system. Moreover, it is compatible with this task because the energy simulation software is also developed under the same programming environment. This thesis describes both the features...

  18. Integrating Solar Thermal and Photovoltaic Systems in Whole Building Energy Simulation 

    E-Print Network [OSTI]

    Cho, S.; Haberl, J.

    2010-01-01

    This paper introduces methodologies on how the renewable energy generated by the solar thermal and solar photovoltaic (PV) systems installed on site can be integrated in the whole building simulation analyses, which ...

  19. Reliability Modeling and Simulation of Composite Power Systems with Renewable Energy Resources and Storage 

    E-Print Network [OSTI]

    Kim, Hagkwen

    2013-05-24

    This research proposes an efficient reliability modeling and simulation methodology in power systems to include photovoltaic units, wind farms and storage. Energy losses by wake effect in a wind farm are incorporated. Using the wake model, wind...

  20. Case Studies of Systems Integration through Energy Simulation During Early Design Phase 

    E-Print Network [OSTI]

    Upadhyaya, K.; McLean, D.

    2008-01-01

    The paper presents two case studies, a commercial & a community project, in Houston Texas, where energy simulation and a decision matrix were used to solve budget conflicts and meet LEED EA-1 requirements. The first case study consists...

  1. Simulation and visualization of fields and energy flows in electric circuits with idealized geometries

    E-Print Network [OSTI]

    Ohannessian, Mesrob I., 1981-

    2005-01-01

    This thesis develops a method to simulate and visualize the fields and energy flows in electric circuits, using a simplified physical model based on an idealized geometry. The physical models combine and extend previously ...

  2. Simulation of Ultra High Energy Neutrino Interactions in Ice and Water

    E-Print Network [OSTI]

    S. Bevan; S. Danaher; J. Perkin; S. Ralph; C. Rhodes; L. Thompson; T. Sloan; D. Waters

    2007-04-08

    The CORSIKA program, usually used to simulate extensive cosmic ray air showers, has been adapted to work in a water or ice medium. The adapted CORSIKA code was used to simulate hadronic showers produced by neutrino interactions. The simulated showers have been used to study the spatial distribution of the deposited energy in the showers. This allows a more precise determination of the acoustic signals produced by ultra high energy neutrinos than has been possible previously. The properties of the acoustic signals generated by such showers are described.

  3. 2D numerical simulation of the MEP energy-transport model with a finite difference scheme

    SciTech Connect (OSTI)

    Romano, V. . E-mail: romano@dmi.unict.it

    2007-02-10

    A finite difference scheme of Scharfetter-Gummel type is used to simulate a consistent energy-transport model for electron transport in semiconductors devices, free of any fitting parameters, formulated on the basis of the maximum entropy principle. Simulations of silicon n{sup +}-n-n{sup +} diodes, 2D-MESFET and 2D-MOSFET and comparisons with the results obtained by a direct simulation of the Boltzmann transport equation and with other energy-transport models, known in the literature, show the validity of the model and the robustness of the numerical scheme.

  4. Simulating the Value of Concentrating Solar Power with Thermal Energy Storage in a Production Cost Model

    SciTech Connect (OSTI)

    Denholm, P.; Hummon, M.

    2012-11-01

    Concentrating solar power (CSP) deployed with thermal energy storage (TES) provides a dispatchable source of renewable energy. The value of CSP with TES, as with other potential generation resources, needs to be established using traditional utility planning tools. Production cost models, which simulate the operation of grid, are often used to estimate the operational value of different generation mixes. CSP with TES has historically had limited analysis in commercial production simulations. This document describes the implementation of CSP with TES in a commercial production cost model. It also describes the simulation of grid operations with CSP in a test system consisting of two balancing areas located primarily in Colorado.

  5. Simulating the High Energy Gamma-ray sky seen by the GLAST Large Area Telescope

    E-Print Network [OSTI]

    F. Longo; P. Azzi; D. Bastieri; G. Busetto; Y. Lei; R. Rando; O. Tibolla; L. Baldini; M. Kuss; L. Latronico; N. Omodei; M. Razzano; G. Spandre; P. Boinee; A. De Angelis; M. Frailis; M. Brigida; F. Gargano; N. Giglietto; F. Loparco; M. N. Mazziotta; C. Cecchi; P. Lubrano; F. Marcucci; M. Pepe; G. Tosti; A. Lionetto; A. Morselli; C. Pittori

    2005-03-24

    This paper presents the simulation of the GLAST high energy gamma-ray telescope. The simulation package, written in C++, is based on the Geant4 toolkit, and it is integrated into a general framework used to process events. A detailed simulation of the electronic signals inside Silicon detectors has been provided and it is used for the particle tracking, which is handled by a dedicated software. A unique repository for the geometrical description of the detector has been realized using the XML language and a C++ library to access this information has been designed and implemented. A new event display based on the HepRep protocol was implemented. The full simulation was used to simulate a full week of GLAST high energy gamma-ray observations. This paper outlines the contribution developed by the Italian GLAST software group.

  6. Optimal estimation of free energies and stationary densities from multiple biased simulations

    E-Print Network [OSTI]

    Wu, Hao

    2013-01-01

    When studying high-dimensional dynamical systems such as macromolecules, quantum systems and polymers, a prime concern is the identification of the most probable states and their stationary probabilities or free energies. Often, these systems have metastable regions or phases, prohibiting to estimate the stationary probabilities by direct simulation. Efficient sampling methods such as umbrella sampling, metadynamics and conformational flooding have developed that perform a number of simulations where the system's potential is biased such as to accelerate the rare barrier crossing events. A joint free energy profile or stationary density can then be obtained from these biased simulations with weighted histogram analysis method (WHAM). This approach (a) requires a few essential order parameters to be defined in which the histogram is set up, and (b) assumes that each simulation is in global equilibrium. Both assumptions make the investigation of high-dimensional systems with previously unknown energy landscape ...

  7. TRIBUTE TO FOUNDERS: NEAL R. AMUNDSON. INORGANIC MATERIALS: SYNTHESIS AND Particle-in-Cell Simulation of Electron and Ion Energy

    E-Print Network [OSTI]

    Economou, Demetre J.

    -in-Cell Simulation of Electron and Ion Energy Distributions in dc/rf Hybrid Capacitively-Coupled Plasmas Paola Engineers AIChE J, 59: 3214-3222, 2013 Keywords: plasma, simulation, molecular, energy distribution 1, 2013 in Wiley Online Library (wileyonlinelibrary.com) A Particle-in-Cell simulation with Monte

  8. Simulations Couple with Experiment to Boost Energy Research

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

    The gas extraction research is considered an important step toward establishing cleaner coal-based energy production and improved carbon sequestration technologies for...

  9. Simulation of energy performance of underfloor air distribution (UFAD) systems

    E-Print Network [OSTI]

    2009-01-01

    Refrigerating, and Air-Conditioning Engineers, Inc Bauman,conventional overhead (OH) air conditioning and underfloorair distribution, air conditioning, energy, peak demand,

  10. Simulating a Nationally Representative Housing Sample Using EnergyPlus

    E-Print Network [OSTI]

    Hopkins, Asa S.

    2011-01-01

    effects between efficiency measures, and the savings for theappliance efficiency measures result in less overall savingsmeasure. (Energy savings from national appliance efficiency

  11. PPPL physicists win supercomputing time to simulate key energy...

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

    most powerful supercomputers. Two of the projects seek to advance the development of nuclear fusion as a clean and abundant source of energy by improving understanding of the...

  12. Curvature-based energy for simulation and variational modeling Denis Zorin

    E-Print Network [OSTI]

    Mohri, Mehryar

    Curvature-based energy for simulation and variational modeling Denis Zorin New York University 719 Broadway, 12th floor New York, New York, 10012 dzorin@mrl.nyu.edu Abstract Curvature-based energy to their simplicity and low computational cost. Both types of approaches have found applications in geometric modeling

  13. Solar Energy 74 (2003) 157173 Comparison between ray-tracing simulations and bi-directional

    E-Print Network [OSTI]

    2003-01-01

    Solar Energy 74 (2003) 157­173 Comparison between ray-tracing simulations and bi-Louis Scartezzini a Solar Energy and Building Physics Laboratory LESO-PB, Swiss Federal Institute of Technology EPFL Cyclotron Road, MS 2-300, Berkeley, CA 94720-8134, USA Abstract Evaluation of solar heat gain and daylight

  14. SIMULATING ENERGY CONSUMPTION OF AUXILIARY UNITS IN HEAVY VEHICLES1 Niklas Pettersson, Karl Henrik Johansson

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    SIMULATING ENERGY CONSUMPTION OF AUXILIARY UNITS IN HEAVY VEHICLES1 Niklas Pettersson, Karl Henrik that can be used to evaluate alternative architectures for the electrical system in heavy vehicles. The vehicle model has been validated with respect to the energy consumption of the combustion engine

  15. Mode-specific energy analysis for rotating-vibrating triatomic molecules in classical trajectory simulation

    E-Print Network [OSTI]

    Kim, Myung Soo

    Mode-specific energy analysis for rotating-vibrating triatomic molecules in classical trajectory simulation Young Min Rhee and Myung Soo Kima) Department of Chemistry and Center for Molecular Catalysis A method for the mode-specific energy analysis in a classical trajectory calculation is developed. The pure

  16. SIMULATION, DESIGN, AND VERIFICATION OF AN ELECTRIFIED BICYCLE ENERGY MODEL Matt Barnes

    E-Print Network [OSTI]

    Brennan, Sean

    SIMULATION, DESIGN, AND VERIFICATION OF AN ELECTRIFIED BICYCLE ENERGY MODEL Matt Barnes Department and easily predict and optimize the efficiency of an electric bicycle system based on selection of critical. The model is used to guide the construction of an electrified bicycle system to achieve the highest energy

  17. Simulation Of Energy Storage In A System With Integrated Wind Yannick Degeilh, Justine Descloux, George Gross

    E-Print Network [OSTI]

    Gross, George

    Simulation Of Energy Storage In A System With Integrated Wind Resources Yannick Degeilh, Justine-scale storage [3],[4] to facilitate the improved harnessing of the wind resources by storing wind energy Descloux, George Gross University of Illinois at Urbana-Champaign, USA Abstract ­ Utility-scale storage

  18. Nov. 30, 2010 Potential Energy Surfaces for Simulating Complex Chemical

    E-Print Network [OSTI]

    Truhlar, Donald G

    , U.S. Energy Secretary Steven Chu announced the funding of a new round of cutting-edge research projects funded through the U.S. Department of Energy Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. The INCITE program gives cutting-edge research projects access to supercomputing

  19. Vehicle & Systems Simulation & Testing | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematics And Statistics » USAJobs Search USAJobs SearchWater-SavingofCode& Systems Simulation &

  20. Energy Simulations of Commercial Buildings for DOE’s Standards Development Projects

    SciTech Connect (OSTI)

    Somasundaram, Sriram; Winiarski, David W.; Taylor, Zachary T.; Jarnagin, Ronald E.

    2006-01-01

    The U.S. Department of Energy (DOE) has been mandated by the U.S. Congress to promulgate energy conservation standards for certain commercial and industrial equipment [Energy Policy and Conservation Act, 42 United States Code 6311 et seq. (EPCA)], in particular specific classes of commercial space conditioning and service water heating equipment. In support of the DOE rulemakings that help establish these standards, Pacific Northwest National Laboratory (PNNL) conducted energy simulation analysis to develop energy consumption characteristics and energy load profiles for commercial buildings. DOE uses life-cycle cost effectiveness as a key criterion in establishing energy conservation standards. In the U.S., however, electrical energy costs for commercial buildings can vary by time of day or year, and peak electrical demand can play a significant role in determining the total cost of energy for a commercial building. Hence, it is important to understand not only total electrical energy consumption but also building electric load profiles during the year.

  1. Comparisons of HVAC Simulations between EnergyPlus and DOE-2.2 for Data Centers

    SciTech Connect (OSTI)

    Hong, Tianzhen; Sartor, Dale; Mathew, Paul; Yazdanian, Mehry

    2008-08-13

    This paper compares HVAC simulations between EnergyPlus and DOE-2.2 for data centers. The HVAC systems studied in the paper are packaged direct expansion air-cooled single zone systems with and without air economizer. Four climate zones are chosen for the study - San Francisco, Miami, Chicago, and Phoenix. EnergyPlus version 2.1 and DOE-2.2 version 45 are used in the annual energy simulations. The annual cooling electric consumption calculated by EnergyPlus and DOE-2.2 are reasonablely matched within a range of -0.4percent to 8.6percent. The paper also discusses sources of differences beween EnergyPlus and DOE-2.2 runs including cooling coil algorithm, performance curves, and important energy model inputs.

  2. The Measurement of Free Energy by Monte Carlo Computer Simulation 

    E-Print Network [OSTI]

    Smith, Graham

    1996-01-01

    One of the most important problems in statistical mechanics is the measurement of free energies, these being the quantities that determine the direction of chemical reactions and--the concern of this thesis--the location ...

  3. Evaluation of Energy Conservation Measures by Model Simulation 

    E-Print Network [OSTI]

    Giebler, T.; Liu, M.; Claridge, D. E.

    1998-01-01

    Numerous energy conservation measures are being implemented into the air handler units of today's commercial buildings. The economizer cycle has proven potential, and has become increasingly more common. Work has also been done demonstrating...

  4. System-of-Systems Approach for Integrated Energy Systems Modeling and Simulation: Preprint

    SciTech Connect (OSTI)

    Mittal, Saurabh; Ruth, Mark; Pratt, Annabelle; Lunacek, Monte; Krishnamurthy, Dheepak; Jones, Wesley

    2015-08-21

    Today’s electricity grid is the most complex system ever built—and the future grid is likely to be even more complex because it will incorporate distributed energy resources (DERs) such as wind, solar, and various other sources of generation and energy storage. The complexity is further augmented by the possible evolution to new retail market structures that provide incentives to owners of DERs to support the grid. To understand and test new retail market structures and technologies such as DERs, demand-response equipment, and energy management systems while providing reliable electricity to all customers, an Integrated Energy System Model (IESM) is being developed at NREL. The IESM is composed of a power flow simulator (GridLAB-D), home energy management systems implemented using GAMS/Pyomo, a market layer, and hardware-in-the-loop simulation (testing appliances such as HVAC, dishwasher, etc.). The IESM is a system-of-systems (SoS) simulator wherein the constituent systems are brought together in a virtual testbed. We will describe an SoS approach for developing a distributed simulation environment. We will elaborate on the methodology and the control mechanisms used in the co-simulation illustrated by a case study.

  5. Home Energy Score Update: New Simulation Training and Credential

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergy HeadquartersFuelB IMSofNewsletterGuidingUpdate Webinar Slides Home Energy

  6. Simulation and High-Performance Computing | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OF APPLICABLE DIRECTIVES Pursuant toPower Wind Awards |Simulation and

  7. Simulation and Risk Assessment for Carbon Storage | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OF APPLICABLE DIRECTIVES Pursuant toPower Wind Awards |Simulation andCarbon

  8. Simulations Couple with Experiment to Boost Energy Research

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque|Sensitive Species3 Outlook for GulfExperienceEfficientSimulations

  9. One-Sun Multisource Solar Simulator brings accurate energy-rating predictions that account for the nonlinear behavior of

    E-Print Network [OSTI]

    One-Sun Multisource Solar Simulator brings accurate energy- rating predictions that account. Key Result The simulator gives accurate energy-rating predictions that account for the nonlinear for the nonlinear behavior of multijunction photovoltaic devices. The National Renewable Energy Laboratory (NREL

  10. Home Energy Score Update: New Simulation Training & Requirements for

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nA Guide to TappingWORKof Energy Before andThisVersion) |Assessors Webinar

  11. Hybrid Power System Simulation Model | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam: Energyarea,Magazine JumpEnergyHyEnergy Systems

  12. Wave Energy Simulation Team Carries Home International Award | Department

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann JacksonDepartment| Department of EnergyData compiled by YanBikingof Energy

  13. Sandia Energy - SNL-SWAN (Sandia National Laboratories - Simulating

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)Geothermal EnergyRenewable EnergyWAves Nearshore) SNL-SWAN (Sandia

  14. Which weather data should you use for energy simulations of commercial buildings?

    SciTech Connect (OSTI)

    Crawley, D.B. [Dept. of Energy, Washington, DC (United States)

    1998-12-31

    Users of energy simulation programs have a wide variety of weather data from which to choose--from locally recorded weather data to preselected typical years, often a bewildering range of options. In the last five years, several organizations have developed new typical weather data sets including WYEC2, TMY2, CWEC, and CTZ2. Unfortunately, neither how these new data influence energy simulation results nor how they compare to recorded weather data is well documented. This paper presents results from the DOE-2.1E hourly energy simulation program for a prototype office building as influenced by local measured weather data for multiple years and several weather data sets for eight US locations. The authors compare the influence of the various weather data sets on simulated annual energy use and costs and annual peak electrical demand, heating load, and cooling load. Statistics for temperature, heating and cooling degree-days, and solar radiation for the different locations and data sets are also presented. Were possible, the author explains the variation relative to the different designs used in developing each data set. The variation inherent in actual weather data and how it influences simulation results is also shown. Finally, based on these results, the question is answered: which weather data should you use?

  15. Electricity Diversity Profiles for Energy Simulation of Office Buildings 

    E-Print Network [OSTI]

    Claridge, D.E.; Abushakra, B.; Haberl, J.S.; Sreshthaputra, A.

    2004-01-01

    . This project would not have been possible without the support that was provided by the following persons and/or the agencies or companies for which they work: Ms. Theresa Sifuentes, Mr. Felix Lopez, and Mr. Dub Taylor at the Texas State Energy Conservation...

  16. Calculation of the crystal-melt interfacial free energy of succinonitrile from molecular simulation

    E-Print Network [OSTI]

    Feng, Xiaobing; Laird, Brian Bostian

    2006-01-30

    purpose of the current work is to determine whether the interfacial free energy of a molecular material can be accurately calculated by computer simulation. We have chosen SCN as a test candidate because experimental values for both the magnitude...;#1;7.9±0.8#2;#1;10?3 613 #1;2003#2;#4;, but is about 20% lower than the earlie obtained by Schaefer et al. #3;Philos. Mag. 32, 725 #1; calculated anisotropy of the interfacial free energy o addition, the Turnbull coefficient from our simulation work demonstrates...

  17. Radiation and ionization energy loss simulation for the GDH sum rule experiment in Hall-A at Jefferson Lab

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

    Yan, Xin -Hu; Ye, Yun -Xiu; Chen, Jian -Ping; Lu, Hai -Jiang; Zhu, Peng -Jia; Jiang, Feng -Jian

    2015-07-17

    The radiation and ionization energy loss are presented for single arm Monte Carlo simulation for the GDH sum rule experiment in Hall-A at Jefferson Lab. Radiation and ionization energy loss are discussed for $^{12}C$ elastic scattering simulation. The relative momentum ratio $\\frac{\\Delta p}{p}$ and $^{12}C$ elastic cross section are compared without and with radiation energy loss and a reasonable shape is obtained by the simulation. The total energy loss distribution is obtained, showing a Landau shape for $^{12}C$ elastic scattering. This simulation work will give good support for radiation correction analysis of the GDH sum rule experiment.

  18. Numerical simulation of electron energy loss near inhomogeneous dielectrics

    SciTech Connect (OSTI)

    Garcia de Abajo, F.J.

    1997-12-01

    The nonrelativistic energy loss suffered by fast electrons passing near dielectric interfaces of arbitrary shape is calculated by solving Poisson{close_quote}s equation using the boundary-charge method. The potential induced by a moving electron is expressed in terms of surface-charge distributions placed at the interfaces. These surface charges, obtained by self-consistently solving the resulting integral equation, act back on the electron producing a retarding force and hence energy loss. The dielectrics are described by frequency-dependent dielectric functions. Two particular cases are discussed in further detail: interfaces invariant under translation along one particular direction and axially symmetric interfaces. Previous results for simple geometries, such as planes, spheres, and cylinders, based upon analytical solutions, are fully reproduced within this approach. Calculations are presented for electrons moving near wedges, coupled parallel cylinders, coupled spheres, and toroidal surfaces. {copyright} {ital 1997} {ital The American Physical Society}

  19. Modeling-Computer Simulations (Ranalli & Rybach, 2005) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: Energy ResourcesDec 2005MinnehahaElectric

  20. Advanced Process Engineering Co-Simulator (APECS) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAand DaltonSolar Energy LLCAdema Technologies

  1. Nuclear Energy Advanced Modeling and Simulation (NEAMS) Program Plan |

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested Parties -DepartmentAvailable forSite |n t e Office of

  2. Modeling and Simulation for Nuclear Reactors Hub | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuelsof EnergyApril 2014 |Department ofMayMissionMitigation Action Plans

  3. NV Energy Large-Scale Photovoltaic Integration Study: Intra-Hour Dispatch and AGC Simulation

    SciTech Connect (OSTI)

    Lu, Shuai; Etingov, Pavel V.; Meng, Da; Guo, Xinxin; Jin, Chunlian; Samaan, Nader A.

    2013-01-02

    The uncertainty and variability with photovoltaic (PV) generation make it very challenging to balance power system generation and load, especially under high penetration cases. Higher reserve requirements and more cycling of conventional generators are generally anticipated for large-scale PV integration. However, whether the existing generation fleet is flexible enough to handle the variations and how well the system can maintain its control performance are difficult to predict. The goal of this project is to develop a software program that can perform intra-hour dispatch and automatic generation control (AGC) simulation, by which the balancing operations of a system can be simulated to answer the questions posed above. The simulator, named Electric System Intra-Hour Operation Simulator (ESIOS), uses the NV Energy southern system as a study case, and models the system’s generator configurations, AGC functions, and operator actions to balance system generation and load. Actual dispatch of AGC generators and control performance under various PV penetration levels can be predicted by running ESIOS. With data about the load, generation, and generator characteristics, ESIOS can perform similar simulations and assess variable generation integration impacts for other systems as well. This report describes the design of the simulator and presents the study results showing the PV impacts on NV Energy real-time operations.

  4. Modeling-Computer Simulations (Combs, Et Al., 1999) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: Energy ResourcesDec 2005MinnehahaElectric Coop,MithrilInformation Combs, Et

  5. Modeling-Computer Simulations (Laney, 2005) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: Energy ResourcesDec 2005MinnehahaElectric Coop,MithrilInformation Combs,

  6. Modeling-Computer Simulations (Lewicki & Oldenburg, 2004) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: Energy ResourcesDec 2005MinnehahaElectric Coop,MithrilInformation

  7. Modeling-Computer Simulations (Ozkocak, 1985) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: Energy ResourcesDec 2005MinnehahaElectric Coop,MithrilInformationOzkocak,

  8. Modeling-Computer Simulations (Walker, Et Al., 2005) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: Energy ResourcesDec 2005MinnehahaElectricInformation Walker, Et Al., 2005)

  9. Fact Sheet on NCAR Simulations | Department of Energy

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-inPPLforLDRD Report to Congress MoreHyd rog enOffice ofSince the-The

  10. Analysis and Simulation of Electrochemical Energy Systems | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based Fuels Research at 1 Table of ContentsAnEnergy 09 DOE Hydrogen Program

  11. Sandia Energy - Ice-Sheet Simulation Code Matures, Leveraging

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis ofSample SULIColinEnergyComputational Science Software and

  12. Advanced Process Engineering Co-Simulator (APECS) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAand DaltonSolar Energy LLCAdema Technologies IncFuelOffshore(Redirected

  13. Modeling-Computer Simulations (Gritto & Majer) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII Jump to: navigation, searchsource History View New PagesEnergyGritto &

  14. Nuclear Energy Advanced Modeling and Simulation (NEAMS) Software

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested Parties -DepartmentAvailable forSite |n t e Office ofVerification and

  15. Sandia Energy - Upper Rio Grande Simulation Model (URGSiM)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)GeothermalFuel MagnetizationTransportation EnergyUncertaintyUpper Rio

  16. Sandia Energy - High-Resolution Computational Algorithms for Simulating

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)Geothermal Energy & Drilling TechnologyHeavy

  17. Energy Consumption Simulation and Analysis of Heat Pump Air Conditioning System in Wuhan by the BIN Method 

    E-Print Network [OSTI]

    Wen, Y.; Zhao, F.

    2006-01-01

    to simulate the annual energy consumption of groundwater heat pump systems (GWHPS) for an office building in Wuhan. Its annual energy consumption was obtained and compared with the partner of the air source heat pump systems (ASHPS). The results show...

  18. Long Term Simulations Of Astrophysical Jets; Energy Structure and Quasi-Periodic Ejection

    E-Print Network [OSTI]

    Ahmed Ibrahim; Kazunari Shibata

    2007-04-23

    We have performed self-consistent 2.5-dimensional nonsteady MHD numerical simulations of jet formation as long as possible, including the dynamics of accretion disks. Although the previous nonsteady MHD simulations for astrophysical jets revealed that the characteristics of nonsteady jets are similar to those of steady jets, the calculation time of these simulations is very short compared with the time scale of observed jets. Thus we have investigated long term evolutions of mass accretion rate, mass outflow rate, jet velocity, and various energy flux. We found that the ejection of jet is quasi-periodic. The period of the ejection is related to the time needed for the initial magnetic filed to be twisted to generate toroidal filed. We compare our results with both the steady state theory and previous 2.5-dimensional nonsteady MHD simulations.

  19. Simulation and Analysis of Energy Consumption of Public Building in Chongquig 

    E-Print Network [OSTI]

    Chen, G.; Lu, J.; Chen, J.

    2006-01-01

    Calculation and analysis of energy consumption must be on the base of simulation of building load. DeST is adopted to calculate dynamic cooling load of the main building in Chongqing city. Then water chilling unit's plant capability is checked...

  20. Project REED (Residential Energy Efficiency Design) is a Web-based building performance simulation tool

    E-Print Network [OSTI]

    ABSTRACT Project REED (Residential Energy Efficiency Design) is a Web-based building performance or kilowatts of elec- tricity. Their bottom line is money. REED is an easy-to-use, ratepayer-friendly web system. The simulation engine behind this new web site is SO- LAR-5, one of the nations most widely used

  1. Computer simulation of dislocation dechanneling in bent crystals at tera-electron-volt energies

    SciTech Connect (OSTI)

    Biryukov, V.

    1995-08-01

    The dislocation dechanneling of protons in the high-GeV and TeV energy ranges in long curved crystals has been investigated by means of computer simulation. The prospects for multi-TeV applications of bent crystals are discussed.

  2. Energy-Conserving Simulation of Incompressible Electro-Osmotic and Pressure-Driven Flow

    E-Print Network [OSTI]

    Bowman,John C.

    Energy-Conserving Simulation of Incompressible Electro-Osmotic and Pressure-Driven Flow Jahrul Alam in Theoretical and Computational Fluid Dynamics) Abstract. A numerical model for electro-osmotic flow asymmetric concentration profile that arises when an external pressure drop is imposed on electro-osmotic

  3. Simulation of the Chemical Potential and the Cavity Free Energy of Dense Hardsphere

    E-Print Network [OSTI]

    Attard, Phil

    , 2225­2231 (1993). Abstract The chemical potential of dense hard­sphere fluids, and also the workSimulation of the Chemical Potential and the Cavity Free Energy of Dense Hard­sphere Fluids Phil computer algorithm is also given. I. Introduction The chemical potential determines the number of molecules

  4. Quantitative predictions of tokamak energy confinement from first-principles simulations with kinetic effects*

    E-Print Network [OSTI]

    Hammett, Greg

    Quantitative predictions of tokamak energy confinement from first-principles simulations Jersey 08543 (Received 14 November 1994; accepted 2 March 1995) A first-principles model of anomalous data from the Tokamak Fusion Test Reactor (TFTR) [Fusion Technol. 21, 1324 (1992)]. This model is based

  5. Quantitative Predictions of Tokamak Energy Confinement from FirstPrinciples Simulations with Kinetic Effects

    E-Print Network [OSTI]

    Hammett, Greg

    Quantitative Predictions of Tokamak Energy Confinement from First­Principles Simulations 451, Princeton, NJ, 08543 Abstract A first­principles model of anomalous thermal transport based Fusion Test Reactor (TFTR) [Fusion Technol. 21, 1324 (1992)]. This model is based on nonlinear gyrofluid

  6. Sensitivity of Building Energy Simulation with Building Occupancy for a University Building 

    E-Print Network [OSTI]

    Chhajed, Shreyans

    2014-08-01

    during breaks to very high during peak daytime hours in the middle of the semester. This paper presents how an energy simulation model was built and validated and then used to explore the effect of occupancy for a classroom/studio building on the campus...

  7. Using Simulations To Determine The Energy Resolution Function Of Neutron Time-Of-Flight Experiments

    E-Print Network [OSTI]

    Danon, Yaron

    and their contribution to the understanding of nuclear models and interaction theory. At the Rensselaer Gaerttner LinearUsing Simulations To Determine The Energy Resolution Function Of Neutron Time-Of- Flight INTRODUCTION High resolution nuclear data are important in their application in neutron transport calculations

  8. Simulating Vibrational Energy Flow in Proteins: Relaxation Rate and Mechanism for Heme Cooling in Cytochrome c

    E-Print Network [OSTI]

    Straub, John E.

    Simulating Vibrational Energy Flow in Proteins: Relaxation Rate and Mechanism for Heme Cooling 02215 ReceiVed: April 30, 2003; In Final Form: July 24, 2003 The rate and mechanism of the kinetic was found to proceed via a spatially anisotropic "funneling" mechanism as a single-exponential process

  9. OTGsim: Simulation of an Off-the-Grid Radar Network with High Sensing Energy Cost

    E-Print Network [OSTI]

    Kurose, Jim

    , and underdeveloped regions lacking urban infrastructure. We present a simulation based investigation of such an OTG of power management and energy harvesting has been focused on small, low-power, sensor systems where data Collaborative Adaptive Sensing (DCAS) networks will map wind, rain, and thermodynamic variables in the lower

  10. Mesoscale Simulations of a Wind Ramping Event for Wind Energy Prediction

    SciTech Connect (OSTI)

    Rhodes, M; Lundquist, J K

    2011-09-21

    Ramping events, or rapid changes of wind speed and wind direction over a short period of time, present challenges to power grid operators in regions with significant penetrations of wind energy in the power grid portfolio. Improved predictions of wind power availability require adequate predictions of the timing of ramping events. For the ramping event investigated here, the Weather Research and Forecasting (WRF) model was run at three horizontal resolutions in 'mesoscale' mode: 8100m, 2700m, and 900m. Two Planetary Boundary Layer (PBL) schemes, the Yonsei University (YSU) and Mellor-Yamada-Janjic (MYJ) schemes, were run at each resolution as well. Simulations were not 'tuned' with nuanced choices of vertical resolution or tuning parameters so that these simulations may be considered 'out-of-the-box' tests of a numerical weather prediction code. Simulations are compared with sodar observations during a wind ramping event at a 'West Coast North America' wind farm. Despite differences in the boundary-layer schemes, no significant differences were observed in the abilities of the schemes to capture the timing of the ramping event. As collaborators have identified, the boundary conditions of these simulations probably dominate the physics of the simulations. They suggest that future investigations into characterization of ramping events employ ensembles of simulations, and that the ensembles include variations of boundary conditions. Furthermore, the failure of these simulations to capture not only the timing of the ramping event but the shape of the wind profile during the ramping event (regardless of its timing) indicates that the set-up and execution of such simulations for wind power forecasting requires skill and tuning of the simulations for a specific site.

  11. A computer simulation appraisal of non-residential low energy cooling systems in California

    SciTech Connect (OSTI)

    Bourassa, Norman; Haves, Philip; Huang, Joe

    2002-05-17

    An appraisal of the potential performance of different Low Energy Cooling (LEC) systems in nonresidential buildings in California is being conducted using computer simulation. The paper presents results from the first phase of the study, which addressed the systems that can be modeled, with the DOE-2.1E simulation program. The following LEC technologies were simulated as variants of a conventional variable-air-volume system with vapor compression cooling and mixing ventilation in the occupied spaces: Air-side indirect and indirect/direct evaporative pre-cooling. Cool beams. Displacement ventilation. Results are presented for four populous climates, represented by Oakland, Sacramento, Pasadena and San Diego. The greatest energy savings are obtained from a combination of displacement ventilation and air-side indirect/direct evaporative pre-cooling. Cool beam systems have the lowest peak demand but do not reduce energy consumption significantly because the reduction in fan energy is offse t by a reduction in air-side free cooling. Overall, the results indicate significant opportunities for LEC technologies to reduce energy consumption and demand in nonresidential new construction and retrofit.

  12. Comparison of Two Statistical Approaches to Detect Abnormal Building Energy Consumption with Simulation Test 

    E-Print Network [OSTI]

    Lin, G.; Claridge, D.

    2012-01-01

    :?How?to?keep?the?optimal?building?energy? performance?after?Cx? ? Solution:?Whole?building?fault?detection? ? A?process?of?identifying?abnormal?energy?consumption ? Alert?operators?early?after?the?onset?of?significant? increases/decreases?in?consumption 2 Paper Model Fault Detection Dodier and...?Kreider (1999) Neural?network |Energy consumption index| > 1 Seem (2007) Historical measurement Outliers identification Lee and Claridge (2007) Calibrated simulation model (ASHRAE SEAP) Visual?comparison?of?E_Meas and?E_Sim Curtin (2007): ABCAT Calibrated...

  13. Ion heating and energy partition at the heliospheric termination shock: hybrid simulations and analytical model

    SciTech Connect (OSTI)

    Gary, S Peter; Winske, Dan; Wu, Pin; Schwadron, N A; Lee, M

    2009-01-01

    The Los Alamos hybrid simulation code is used to examine heating and the partition of dissipation energy at the perpendicular heliospheric termination shock in the presence of pickup ions. The simulations are one-dimensional in space but three-dimensional in field and velocity components, and are carried out for a range of values of pickup ion relative density. Results from the simulations show that because the solar wind ions are relatively cold upstream, the temperature of these ions is raised by a relatively larger factor than the temperature of the pickup ions. An analytic model for energy partition is developed on the basis of the Rankine-Hugoniot relations and a polytropic energy equation. The polytropic index {gamma} used in the Rankine-Hugoniot relations is varied to improve agreement between the model and the simulations concerning the fraction of downstream heating in the pickup ions as well as the compression ratio at the shock. When the pickup ion density is less than 20%, the polytropic index is about 5/3, whereas for pickup ion densities greater than 20%, the polytropic index tends toward 2.2, suggesting a fundamental change in the character of the shock, as seen in the simulations, when the pickup ion density is large. The model and the simulations both indicate for the upstream parameters chosen for Voyager 2 conditions that the pickup ion density is about 25% and the pickup ions gain the larger share (approximately 90%) of the downstream thermal pressure, consistent with Voyager 2 observations near the shock.

  14. 30TH INTERNATIONAL COSMIC RAY CONFERENCE A Fast and Accurate Monte Carlo EAS Simulation Scheme in the GZK Energy Re-

    E-Print Network [OSTI]

    a full and quasi-full MC simulation with energy threshold of particles of 500 keV for primary energy in the GZK Energy Re- gion and Some Results for the TA experiment F.COHEN1 AND K. KASAHARA2 : FOR THE TA such as energy, arrival time, angular distributions of individual particles are sampled from the database

  15. Evidence-based calibration of a building energy simulation model: Application to an office building in Belgium 

    E-Print Network [OSTI]

    Bertagnolio, S.; Randaxhe, F.; Lemort, V.

    2012-01-01

    Energy services play a growing role in the control of energy consumption and the improvement of energy efficiency in non-residential buildings. This work consists in the application of a simulation-based approach dedicated to whole-building energy...

  16. Stochastic Modeling of Overtime Occupancy and Its Application in Building Energy Simulation and Calibration

    SciTech Connect (OSTI)

    Sun, Kaiyu; Yan , Da; Hong , Tianzhen; Guo, Siyue

    2014-02-28

    Overtime is a common phenomenon around the world. Overtime drives both internal heat gains from occupants, lighting and plug-loads, and HVAC operation during overtime periods. Overtime leads to longer occupancy hours and extended operation of building services systems beyond normal working hours, thus overtime impacts total building energy use. Current literature lacks methods to model overtime occupancy because overtime is stochastic in nature and varies by individual occupants and by time. To address this gap in the literature, this study aims to develop a new stochastic model based on the statistical analysis of measured overtime occupancy data from an office building. A binomial distribution is used to represent the total number of occupants working overtime, while an exponential distribution is used to represent the duration of overtime periods. The overtime model is used to generate overtime occupancy schedules as an input to the energy model of a second office building. The measured and simulated cooling energy use during the overtime period is compared in order to validate the overtime model. A hybrid approach to energy model calibration is proposed and tested, which combines ASHRAE Guideline 14 for the calibration of the energy model during normal working hours, and a proposed KS test for the calibration of the energy model during overtime. The developed stochastic overtime model and the hybrid calibration approach can be used in building energy simulations to improve the accuracy of results, and better understand the characteristics of overtime in office buildings.

  17. EnergyGauge USA: A Residential Building Energy Simulation Design Tool 

    E-Print Network [OSTI]

    Fairey, P.; Vieira, R. K.; Parker, D. S.; Hanson, B.; Broman, P. A.; Grant, J. B.; Fuehrlein, B.; Gu, L.

    2002-01-01

    The Florida Solar Energy Center (FSEC) has developed new software (EnergyGauge USA) which allows simple calculation and rating of energy use of residential buildings around the United States. In the past, most residential analysis and rating...

  18. A Method for Modeling Household Occupant Behavior to Simulate Residential Energy Consumption

    SciTech Connect (OSTI)

    Johnson, Brandon J [ORNL] [ORNL; Starke, Michael R [ORNL] [ORNL; Abdelaziz, Omar [ORNL] [ORNL; Jackson, Roderick K [ORNL] [ORNL; Tolbert, Leon M [University of Tennessee, Knoxville (UTK)] [University of Tennessee, Knoxville (UTK)

    2014-01-01

    This paper presents a statistical method for modeling the behavior of household occupants to estimate residential energy consumption. Using data gathered by the U.S. Census Bureau in the American Time Use Survey (ATUS), actions carried out by survey respondents are categorized into ten distinct activities. These activities are defined to correspond to the major energy consuming loads commonly found within the residential sector. Next, time varying minute resolution Markov chain based statistical models of different occupant types are developed. Using these behavioral models, individual occupants are simulated to show how an occupant interacts with the major residential energy consuming loads throughout the day. From these simulations, the minimum number of occupants, and consequently the minimum number of multiple occupant households, needing to be simulated to produce a statistically accurate representation of aggregate residential behavior can be determined. Finally, future work will involve the use of these occupant models along side residential load models to produce a high-resolution energy consumption profile and estimate the potential for demand response from residential loads.

  19. Policy Strategies and Paths to promote Sustainable Energy Systems- The dynamic Invert Simulation Tool

    SciTech Connect (OSTI)

    Stadler, Michael; Kranzl, Lukas; Huber, Claus; Haas, Reinhard; Tsioliaridou, Elena

    2006-05-01

    The European Union has established a number of targetsregarding energy efficiency, Renewable Energy Sources (RES) and CO2reductions as the 'GREEN PAPER on Energy Efficiency', the Directive for'promotion of the use of bio-fuels or other renewable fuels fortransport' or 'Directive of the European Parliament of the Council on thepromotion of cogeneration based on a useful heat demand in the internalenergy market'. A lot of the according RES and RUE measures are notattractive for investors from an economic point of view. Thereforegovernmentsall over the world have to spend public money to promotethese technologies/measures to bring them into market. These expenditureshave to be adjusted to budget concerns and should be spent mostefficiently. Therefore, the spent money has to be dedicated totechnologies and efficiency measures with the best yield in CO2 reductionwithout wasting money. The core question: "How can public money - forpromoting sustainable energy systems - be spent most efficiently toreduce GHG-emissions?" has been well investigated by the European projectInvert. In course of this project a simulation tool has been designed toanswer this core question. This paper describes the modelling with theInvert simulation tool and shows the key features necessary forsimulating the energy system. A definition of 'Promotion SchemeEfficiency' is given which allows estimating the most cost effectivetechnologies and/or efficiency measures to reduce CO2 emissions.Investigations performed with the Invert simulation tool deliver anoptimum portfolio mix of technologies and efficiency measures for eachselected region. Within Invert seven European regions were simulated andfor the Austrian case study the detailed portfolio mix is shown andpolitical conclusions are derived.

  20. Particle dynamics in two-dimensional random energy landscapes - experiments and simulations

    E-Print Network [OSTI]

    Florian Evers; Christoph Zunke; Richard D. L. Hanes; Joerg Bewerunge; Imad Ladadwa; Andreas Heuer; Stefan U. Egelhaaf

    2013-06-13

    The dynamics of individual colloidal particles in random potential energy landscapes were investigated experimentally and by Monte Carlo simulations. The value of the potential at each point in the two-dimensional energy landscape follows a Gaussian distribution. The width of the distribution, and hence the degree of roughness of the energy landscape, was varied and its effect on the particle dynamics studied. This situation represents an example of Brownian dynamics in the presence of disorder. In the experiments, the energy landscapes were generated optically using a holographic set-up with a spatial light modulator, and the particle trajectories were followed by video microscopy. The dynamics are characterized using, e.g., the time-dependent diffusion coefficient, the mean squared displacement, the van Hove function and the non-Gaussian parameter. In both, experiments and simulations, the dynamics are initially diffusive, show an extended sub-diffusive regime at intermediate times before diffusive motion is recovered at very long times. The dependence of the long-time diffusion coefficient on the width of the Gaussian distribution agrees with theoretical predictions. Compared to the dynamics in a one-dimensional potential energy landscape, the localization at intermediate times is weaker and the diffusive regime at long times reached earlier, which is due to the possibility to avoid local maxima in two-dimensional energy landscapes.

  1. A Method for Simulating Heat Recovery Systems Using AirModel in Implementations of the ASHRAE Simplified Energy Analysis Procedure 

    E-Print Network [OSTI]

    Liu, C.; Zeig, M.; Claridge, D. E.; Wei, G.; Bruner, H.; Turner, W. D.

    2005-01-01

    A Method for Simulating Heat Recovery Systems Using AirModel in Implementations of the ASHRAE Simplified Energy Analysis Procedure Chenggang Liu Research Associate Energy Systems Laboratory Texas A&M University College Station, TX Marvin..., TX W. Dan Turner, Ph.D., P.E. Professor & Director Energy Systems Laboratory Texas A&M University College Station, TX Abstract A method for simulating heat recovery systems using AirModel in implementations of the ASHRAE simplified...

  2. Advanced virtual energy simulation training and research: IGCC with CO2 capture power plant

    SciTech Connect (OSTI)

    Zitney, S.; Liese, E.; Mahapatra, P.; Bhattacharyya, D.; Provost, G.

    2011-01-01

    In this presentation, we highlight the deployment of a real-time dynamic simulator of an integrated gasification combined cycle (IGCC) power plant with CO{sub 2} capture at the Department of Energy's (DOE) National Energy Technology Laboratory's (NETL) Advanced Virtual Energy Simulation Training and Research (AVESTARTM) Center. The Center was established as part of the DOE's accelerating initiative to advance new clean coal technology for power generation. IGCC systems are an attractive technology option, generating low-cost electricity by converting coal and/or other fuels into a clean synthesis gas mixture in a process that is efficient and environmentally superior to conventional power plants. The IGCC dynamic simulator builds on, and reaches beyond, conventional power plant simulators to merge, for the first time, a 'gasification with CO{sub 2} capture' process simulator with a 'combined-cycle' power simulator. Fueled with coal, petroleum coke, and/or biomass, the gasification island of the simulated IGCC plant consists of two oxygen-blown, downward-fired, entrained-flow, slagging gasifiers with radiant syngas coolers and two-stage sour shift reactors, followed by a dual-stage acid gas removal process for CO{sub 2} capture. The combined cycle island consists of two F-class gas turbines, steam turbine, and a heat recovery steam generator with three-pressure levels. The dynamic simulator can be used for normal base-load operation, as well as plant start-up and shut down. The real-time dynamic simulator also responds satisfactorily to process disturbances, feedstock blending and switchovers, fluctuations in ambient conditions, and power demand load shedding. In addition, the full-scope simulator handles a wide range of abnormal situations, including equipment malfunctions and failures, together with changes initiated through actions from plant field operators. By providing a comprehensive IGCC operator training system, the AVESTAR Center is poised to develop a workforce well-prepared to operate and control commercial-scale gasification-based power plants capable of 90% pre-combustion CO{sub 2} capture and compression, as well as low sulfur, mercury, and NOx emissions. With additional support from the NETL-Regional University Alliance (NETL-RUA), the Center will educate and train engineering students and researchers by providing hands-on 'learning by operating' experience The AVESTAR Center also offers unique collaborative R&D opportunities in high-fidelity dynamic modeling, advanced process control, real-time optimization, and virtual plant simulation. Objectives and goals are aimed at safe and effective management of power generation systems for optimal efficiency, while protecting the environment. To add another dimension of realism to the AVESTAR experience, NETL will introduce an immersive training system with innovative three-dimensional virtual reality technology. Wearing a stereoscopic headset or eyewear, trainees will enter an interactive virtual environment that will allow them to move freely throughout the simulated 3-D facility to study and learn various aspects of IGCC plant operation, control, and safety. Such combined operator and immersive training systems go beyond traditional simulation and include more realistic scenarios, improved communication, and collaboration among co-workers.

  3. An Exploratory Energy Analysis of Electrochromic Windows in Small and Medium Office Buildings - Simulated Results Using EnergyPlus

    SciTech Connect (OSTI)

    Belzer, David B.

    2010-08-01

    The Department of Energy’s (DOE) Building Technologies Program (BTP) has had an active research program in supporting the development of electrochromic (EC) windows. Electrochromic glazings used in these windows have the capability of varying the transmittance of light and heat in response to an applied voltage. This dynamic property allows these windows to reduce lighting, cooling, and heating energy in buildings where they are employed. The exploratory analysis described in this report examined three different variants of EC glazings, characterized by the amount of visible light and solar heat gain (as measured by the solar heat gain coefficients [SHGC] in their “clear” or transparent states). For these EC glazings, the dynamic range of the SHGC’s between their “dark” (or tinted) state and the clear state were: (0.22 - 0.70, termed “high” SHGC); (0.16 - 0.39, termed “low” SHGC); and (0.13 - 0.19; termed “very low” SHGC). These glazings are compared to conventional (static) glazing that meets the ASHRAE Standard 90.1-2004 energy standard for five different locations in the U.S. All analysis used the EnergyPlus building energy simulation program for modeling EC windows and alternative control strategies. The simulations were conducted for a small and a medium office building, where engineering specifications were taken from the set of Commercial Building Benchmark building models developed by BTP. On the basis of these simulations, total source-level savings in these buildings were estimated to range between 2 to 7%, depending on the amount of window area and building location.

  4. Implementation of a Quantum-simulation Algorithm of Calculating Molecular Ground-state Energy on an NMR Quantum Computer

    E-Print Network [OSTI]

    Jiangfeng Du; Nanyang Xu; Xinhua Peng; Pengfei Wang; Sanfeng Wu; Dawei Lu

    2009-07-22

    It is exponentially hard to simulate quantum systems by classical algorithms, while quantum computer could in principle solve this problem polynomially. We demonstrate such an quantum-simulation algorithm on our NMR system to simulate an hydrogen molecule and calculate its ground-state energy. We utilize the NMR interferometry method to measure the phase shift and iterate the process to get a high precision. Finally we get 17 precise bits of the energy value, and we also analyze the source of the error in the simulation.

  5. Nuclear Energy Advanced Modeling and Simulation Waste Integrated Performance and Safety Codes (NEAMS Waste IPSC).

    SciTech Connect (OSTI)

    Schultz, Peter Andrew

    2011-12-01

    The objective of the U.S. Department of Energy Office of Nuclear Energy Advanced Modeling and Simulation Waste Integrated Performance and Safety Codes (NEAMS Waste IPSC) is to provide an integrated suite of computational modeling and simulation (M&S) capabilities to quantitatively assess the long-term performance of waste forms in the engineered and geologic environments of a radioactive-waste storage facility or disposal repository. Achieving the objective of modeling the performance of a disposal scenario requires describing processes involved in waste form degradation and radionuclide release at the subcontinuum scale, beginning with mechanistic descriptions of chemical reactions and chemical kinetics at the atomic scale, and upscaling into effective, validated constitutive models for input to high-fidelity continuum scale codes for coupled multiphysics simulations of release and transport. Verification and validation (V&V) is required throughout the system to establish evidence-based metrics for the level of confidence in M&S codes and capabilities, including at the subcontiunuum scale and the constitutive models they inform or generate. This Report outlines the nature of the V&V challenge at the subcontinuum scale, an approach to incorporate V&V concepts into subcontinuum scale modeling and simulation (M&S), and a plan to incrementally incorporate effective V&V into subcontinuum scale M&S destined for use in the NEAMS Waste IPSC work flow to meet requirements of quantitative confidence in the constitutive models informed by subcontinuum scale phenomena.

  6. Criteria for the accuracy of small polaron quantum master equation in simulating excitation energy transfer dynamics

    SciTech Connect (OSTI)

    Chang, Hung-Tzu; Cheng, Yuan-Chung [Department of Chemistry and Center for Quantum Science and Engineering, National Taiwan University, Taipei City 106, Taiwan (China)] [Department of Chemistry and Center for Quantum Science and Engineering, National Taiwan University, Taipei City 106, Taiwan (China); Zhang, Pan-Pan [Department of Physics and Institute of Modern Physics, Ningbo University, Ningbo 315211 (China)] [Department of Physics and Institute of Modern Physics, Ningbo University, Ningbo 315211 (China)

    2013-12-14

    The small polaron quantum master equation (SPQME) proposed by Jang et al. [J. Chem. Phys. 129, 101104 (2008)] is a promising approach to describe coherent excitation energy transfer dynamics in complex molecular systems. To determine the applicable regime of the SPQME approach, we perform a comprehensive investigation of its accuracy by comparing its simulated population dynamics with numerically exact quasi-adiabatic path integral calculations. We demonstrate that the SPQME method yields accurate dynamics in a wide parameter range. Furthermore, our results show that the accuracy of polaron theory depends strongly upon the degree of exciton delocalization and timescale of polaron formation. Finally, we propose a simple criterion to assess the applicability of the SPQME theory that ensures the reliability of practical simulations of energy transfer dynamics with SPQME in light-harvesting systems.

  7. Simulation of Charged Systems in Heterogeneous Dielectric Media via a True Energy Functional

    E-Print Network [OSTI]

    Vikram Jadhao; Francisco J. Solis; Monica Olvera de la Cruz

    2013-09-26

    For charged systems in heterogeneous dielectric media, a key obstacle for molecular dynamics (MD) simulations is the need to solve the Poisson equation in the media. This obstacle can be bypassed using MD methods that treat the local polarization charge density as a dynamic variable, but such approaches require access to a true free energy functional; one that evaluates to the equilibrium electrostatic energy at its minimum. In this letter, we derive the needed functional. As an application, we develop a Car-Parrinello MD method for the simulation of free charges present near a spherical emulsion droplet separating two immiscible liquids with different dielectric constants. Our results show the presence of non-monotonic ionic profiles in the dielectric with lower dielectric constant.

  8. Building Energy Simulation Test for Existing Homes (BESTEST-EX) Methodology: Preprint

    SciTech Connect (OSTI)

    Judkoff, R.; Polly, B.; Bianchi, M.; Neymark, J.

    2011-11-01

    The test suite represents a set of cases applying the new Building Energy Simulation Test for Existing Homes (BESTEST-EX) Methodology developed by NREL. (Judkoff et al. 2010a). The NREL team developed the test cases in consultation with the home retrofit industry (BESTEST-EX Working Group 2009), and adjusted the test specifications in accordance with information supplied by a participant with access to large utility bill datasets (Blasnik 2009).

  9. Vacuum energies due to delta-like currents: simulating classical objects along branes with arbitrary codimensions

    E-Print Network [OSTI]

    F. A. Barone; G. Flores-Hidalgo

    2008-12-20

    In this paper we investigate the vacuum energies of several models of quantum fields interacting with static external currents (linear couplings) concentrated along parallel branes with an arbitrary number of codimensions. We show that we can simulate the presence of static charges distributions as well as the presence of classical static dipoles in any dimension for massive and massless fields. We also show that we can produce confining potentials with massless self interacting scalar fields as well as long range anisotropic potentials.

  10. Simulation of air shower image in fluorescence light based on energy deposits derived from CORSIKA

    E-Print Network [OSTI]

    D. Gora; D. Heck; P. Homola; H. Klages; J. Pekala; M. Risse; B. Wilczynska; H. Wilczynski

    2004-03-01

    Spatial distributions of energy deposited by an extensive air shower in the atmosphere through ionization, as obtained from the CORSIKA simulation program, are used to find the fluorescence light distribution in the optical image of the shower. The shower image derived in this way is somewhat smaller than that obtained from the NKG lateral distribution of particles in the shower. The size of the image shows a small dependence on the primary particle type.

  11. Strategic Plan for Nuclear Energy -- Knowledge Base for Advanced Modeling and Simulation (NE-KAMS)

    SciTech Connect (OSTI)

    Kimberlyn C. Mousseau

    2011-10-01

    The Nuclear Energy Computational Fluid Dynamics Advanced Modeling and Simulation (NE-CAMS) system is being developed at the Idaho National Laboratory (INL) in collaboration with Bettis Laboratory, Sandia National Laboratory (SNL), Argonne National Laboratory (ANL), Utah State University (USU), and other interested parties with the objective of developing and implementing a comprehensive and readily accessible data and information management system for computational fluid dynamics (CFD) verification and validation (V&V) in support of nuclear energy systems design and safety analysis. The two key objectives of the NE-CAMS effort are to identify, collect, assess, store and maintain high resolution and high quality experimental data and related expert knowledge (metadata) for use in CFD V&V assessments specific to the nuclear energy field and to establish a working relationship with the U.S. Nuclear Regulatory Commission (NRC) to develop a CFD V&V database, including benchmark cases, that addresses and supports the associated NRC regulations and policies on the use of CFD analysis. In particular, the NE-CAMS system will support the Department of Energy Office of Nuclear Energy Advanced Modeling and Simulation (NEAMS) Program, which aims to develop and deploy advanced modeling and simulation methods and computational tools for reliable numerical simulation of nuclear reactor systems for design and safety analysis. Primary NE-CAMS Elements There are four primary elements of the NE-CAMS knowledge base designed to support computer modeling and simulation in the nuclear energy arena as listed below. Element 1. The database will contain experimental data that can be used for CFD validation that is relevant to nuclear reactor and plant processes, particularly those important to the nuclear industry and the NRC. Element 2. Qualification standards for data evaluation and classification will be incorporated and applied such that validation data sets will result in well-defined, well-characterized data. Element 3. Standards will be established for the design and operation of experiments for the generation of new validation data sets that are to be submitted to NE-CAMS that addresses the completeness and characterization of the dataset. Element 4. Standards will be developed for performing verification and validation (V&V) to establish confidence levels in CFD analyses of nuclear reactor processes; such processes will be acceptable and recognized by both CFD experts and the NRC.

  12. Real-Time Building Energy Simulation Using EnergyPlus and the Building Controls Test Bed

    E-Print Network [OSTI]

    Pang, Xiufeng

    2013-01-01

    and Glazer, J. 2001. EnergyPlus: creating a new-generationBuildings, 32:5-17. US DOE. 2010. EnergyPlus Documentation.buildings/energyplu s/energyplus_documentation.cfm Wetter,

  13. Appears in Workshop on Complexity-Effective Design, 27th ISCA, Vancouver, Canada, June 2000 SyCHOSys: Compiled Energy-Performance Cycle Simulation

    E-Print Network [OSTI]

    CHOSys: Compiled Energy-Performance Cycle Simulation Ronny Krashinsky, Seongmoo Heo, Michael Zhang, and Krste extracted from circuit layout infor- mation to give energy dissipation. To increase simulation speed, weMill. We also describe a structural energy-performance simulation of a pipelined MIPS pro- cessor built

  14. Using EnergyPlus to Simulate the Dynamic Response of a Residential Building to Advanced Cooling Strategies: Preprint

    SciTech Connect (OSTI)

    Booten, C.; Tabares-Velasco, P. C.

    2012-08-01

    This study demonstrates the ability of EnergyPlus to accurately model complex cooling strategies in a real home with a goal of shifting energy use off peak and realizing energy savings. The house was retrofitted through the Sacramento Municipal Utility District's (SMUD) deep energy retrofit demonstration program; field tests were operated by the National Renewable Energy Laboratory (NREL). The experimental data were collected as part of a larger study and are used here to validate simulation predictions.

  15. An Energy-Aware Simulation Model and Transaction Protocol for Dynamic Workload Distribution in Mobile Ad Hoc Networks1

    E-Print Network [OSTI]

    Pedram, Massoud

    An Energy-Aware Simulation Model and Transaction Protocol for Dynamic Workload Distribution an undesirable occurrence. Uneven distribution of energy resources and computational workloads is especially for detailed evaluation of the performance of different energy management policies in a MANET. Next it presents

  16. On the Use of Integrated Daylighting and Energy Simulations to Drive the Design of a Large Net-Zero Energy Office Building: Preprint

    SciTech Connect (OSTI)

    Guglielmetti, R.; Pless, S.; Torcellini, P.

    2010-08-01

    This paper illustrates the challenges of integrating rigorous daylight and electric lighting simulation data with whole-building energy models, and defends the need for such integration to achieve aggressive energy savings. Through a case study example, we examine the ways daylighting -- and daylighting simulation -- drove the design of a large net-zero energy project. We give a detailed review of the daylighting and electric lighting design process for the National Renewable Energy Laboratory's Research Support Facility (RSF), a 220,000 ft2 net-zero energy project the author worked on as a daylighting consultant. A review of the issues involved in simulating and validating the daylighting performance of the RSF will be detailed, including daylighting simulation, electric lighting control response, and integration of Radiance simulation data into the building energy model. Daylighting was a key strategy in reaching the contractual energy use goals for the RSF project; the building's program, layout, orientation and interior/furniture design were all influenced by the daylighting design, and simulation was critical in ensuring these many design components worked together in an integrated fashion, and would perform as required to meet a very aggressive energy performance goal, as expressed in a target energy use intensity.

  17. Thermodynamic and structural aspects of the potential energy surface of simulated water

    E-Print Network [OSTI]

    Francis W. Starr; Srikanth Sastry; Emilia La Nave; Antonio Scala; H. Eugene Stanley; Francesco Sciortino

    2000-07-28

    Relations between the thermodynamics and dynamics of supercooled liquids approaching a glass transition have been proposed over many years. The potential energy surface of model liquids has been increasingly studied since it provides a connection between the configurational component of the partition function on one hand, and the system dynamics on the other. This connection is most obvious at low temperatures, where the motion of the system can be partitioned into vibrations within a basin of attraction and infrequent inter-basin transitions. In this work, we present a description of the potential energy surface properties of supercooled liquid water. The dynamics of this model has been studied in great details in the last years. Specifically, we locate the minima sampled by the liquid by ``quenches'' from equilibrium configurations generated via molecular dynamics simulations. We calculate the temperature and density dependence of the basin energy, degeneracy, and shape. The temperature dependence of the energy of the minima is qualitatively similar to simple liquids, but has anomalous density dependence. The unusual density dependence is also reflected in the configurational entropy, the thermodynamic measure of degeneracy. Finally, we study the structure of simulated water at the minima, which provides insight on the progressive tetrahedral ordering of the liquid on cooling.

  18. Monte Carlo Simulation for Elastic Energy Loss of High-Energy Partons in Quark-Gluon Plasma

    E-Print Network [OSTI]

    Jussi Auvinen; Kari J. Eskola; Hannu Holopainen; Thorsten Renk

    2011-06-13

    We examine the significance of $2 \\rightarrow 2$ partonic collisions as the suppression mechanism of high-energy partons in the strongly interacting medium formed in ultrarelativistic heavy ion collisions. For this purpose, we have developed a Monte Carlo simulation describing the interactions of perturbatively produced, non-eikonally propagating high-energy partons with the quarks and gluons from the expanding QCD medium. The partonic collision rates are computed in leading-order perturbative QCD (pQCD), while three different hydrodynamical scenarios are used to model the medium. We compare our results with the suppression observed in $\\sqrt{s_{NN}}=200$ GeV Au+Au collisions at the BNL-RHIC. We find the incoherent nature of elastic energy loss incompatible with the measured data and the effect of the initial state fluctuations small.

  19. Energy Consumption Estimation for Room Air-conditioners Using Room Temperature Simulation with One-Minute Intervals 

    E-Print Network [OSTI]

    Wang, F.; Yoshida, H.; Matsumoto, K.

    2006-01-01

    time can be known so that its energy consumption can be estimated accurately. In order to verify the simulation accuracy, an actual room equipped with a gas-engine heat pump (GHP) air-conditioning system is studied by both simulation and measurement...

  20. Elastic Incoherent Neutron Scattering, operating by varying instrumental energy resolution, Principles, Simulations and Experiments of the Resolution Elastic Neutron

    E-Print Network [OSTI]

    Doster, Wolfgang

    Elastic Incoherent Neutron Scattering, operating by varying instrumental energy resolution, Principles, Simulations and Experiments of the Resolution Elastic Neutron Scattering (RENS) by Magazu a different name "RENS" (resolution dependent elastic neutron scattering) [1-5]. Our ERS papers, first

  1. Muon content of ultra-high-energy air showers: Yakutsk data versus simulations

    E-Print Network [OSTI]

    A. V. Glushkov; I. T. Makarov; M. I. Pravdin; I. E. Sleptsov; D. S. Gorbunov; G. I. Rubtsov; S. V. Troitsky

    2008-02-18

    We analyse a sample of 33 extensive air showers (EAS) with estimated primary energies above 2\\cdot 10^{19} eV and high-quality muon data recorded by the Yakutsk EAS array. We compare, event-by-event, the observed muon density to that expected from CORSIKA simulations for primary protons and iron, using SIBYLL and EPOS hadronic interaction models. The study suggests the presence of two distinct hadronic components, ``light'' and ``heavy''. Simulations with EPOS are in a good agreement with the expected composition in which the light component corresponds to protons and the heavy component to iron-like nuclei. With SYBILL, simulated muon densities for iron primaries are a factor of \\sim 1.5 less than those observed for the heavy component, for the same electromagnetic signal. Assuming two-component proton-iron composition and the EPOS model, the fraction of protons with energies E>10^{19} eV is 0.52^{+0.19}_{-0.20} at 95% confidence level.

  2. MCNP6 simulation of light and medium nuclei fragmentation at intermediate energies

    E-Print Network [OSTI]

    Stepan G. Mashnik; Leslie M. Kerby

    2015-08-24

    Fragmentation reactions induced on light and medium nuclei by protons and light nuclei of energies around 1 GeV/nucleon and below are studied with the Los Alamos transport code MCNP6 and with its CEM03.03 and LAQGSM03.03 event generators. CEM and LAQGSM assume that intermediate-energy fragmentation reactions on light nuclei occur generally in two stages. The first stage is the intranuclear cascade (INC), followed by the second, Fermi breakup disintegration of light excited residual nuclei produced after the INC. CEM and LAQGSM account also for coalescence of light fragments (complex particles) up to 4He from energetic nucleons emitted during INC. We investigate the validity and performance of MCNP6, CEM, and LAQGSM in simulating fragmentation reactions at intermediate energies and discuss possible ways of further improving these codes

  3. MCNP6 simulation of light and medium nuclei fragmentation at intermediate energies

    E-Print Network [OSTI]

    Mashnik, Stepan G

    2015-01-01

    Fragmentation reactions induced on light and medium nuclei by protons and light nuclei of energies around 1 GeV/nucleon and below are studied with the Los Alamos transport code MCNP6 and with its CEM03.03 and LAQGSM03.03 event generators. CEM and LAQGSM assume that intermediate-energy fragmentation reactions on light nuclei occur generally in two stages. The first stage is the intranuclear cascade (INC), followed by the second, Fermi breakup disintegration of light excited residual nuclei produced after the INC. CEM and LAQGSM account also for coalescence of light fragments (complex particles) up to 4He from energetic nucleons emitted during INC. We investigate the validity and performance of MCNP6, CEM, and LAQGSM in simulating fragmentation reactions at intermediate energies and discuss possible ways of further improving these codes

  4. Polymer segregation under confinement: Free energy calculations and segregation dynamics simulations

    E-Print Network [OSTI]

    James M. Polson; Logan G. Montgomery

    2014-10-09

    Monte Carlo simulations are used to study the behavior of two polymers under confinement in a cylindrical tube. Each polymer is modeled as a chain of hard spheres. We measure the free energy of the system, F, as a function of the distance between the centers of mass of the polymers, lambda, and examine the effects on the free energy functions of varying the channel diameter D and length L, as well as the polymer length N and bending rigidity, kappa. For infinitely long cylinders, F is a maximum at lambda=0, and decreases with lambda until the polymers are no longer in contact. For flexible chains, the polymers overlap along the cylinder for low lambda, while above some critical value of lambda they are longitudinally compressed and non-overlapping while still in contact. We find that the free energy barrier height, scales as Delta F/k_BT~ND^{-1.93+/-0.01}. In addition, the overlap free energy scales as F/k_BT=Nf(lambda/N;D), where f is a function parameterized by D. For channels of finite L, the free energy barrier height increases with increasing confinement aspect ratio L/D at fixed volume fraction phi, and it decreases with increasing phi at fixed L/D. Increasing the polymer bending rigidity kappa monotonically reduces the overlap free energy. For strongly confined systems, F varies linearly with lambda with a slope that scales as F'(lambda)~-k_BT D^{-beta} P^{-alpha}, where beta approx 2 and alpha approx 0.37 for N=200 chains. These exponent values deviate slightly from those predicted using a simple model, possibly due to insufficiently satisfying the conditions defining the Odijk regime. Finally, we use Monte Carlo dynamics simulations to examine polymer segregation dynamics for fully flexible chains and observe segregation rates that decrease with decreasing entropic force magnitude. The polymers are not conformationally relaxed at later times during segregation.

  5. Implementing the De-thinning Method for High Energy Cosmic Rays Extensive Air Shower Simulations

    E-Print Network [OSTI]

    Estupiñán, A; Núñez, L A

    2015-01-01

    To simulate the interaction of cosmic rays with the Earth atmosphere requires highly complex computational resources and several statistical techniques have been developed to simplify those calculations. It is common to implement the thinning algorithms to reduce the number of secondary particles by assigning weights to representative particles in the evolution of the cascade. However, since this is a compression method with information loss, it is required to recover the original flux of secondary particles without introduce artificial biases. In this work we present the preliminary results of our version of the de-thinning algorithm for the reconstruction of thinned simulations of extensive air showers initiated by cosmic rays and photons in the energy range $10^{15} < E/\\mathrm{eV} < 10^{17}$.

  6. Simulation of Electrolyte Composition Effects on High Energy Lithium-Ion Cells

    SciTech Connect (OSTI)

    K. Gering

    2014-09-01

    An important feature of the DUALFOIL model for simulation of lithium-ion cells [1,2] is rigorous accounting for non-ideal electrolyte properties. Unfortunately, data are available on only a few electrolytes [3,4]. However, K. Gering has developed a model for estimation of electrolyte properties [5] and recently generated complete property sets (density, conductivity, activity coefficient, diffusivity, transport number) as a function of temperature and salt concentration. Here we use these properties in an enhanced version of the DUALFOIL model called DISTNP, available in Battery Design Studio [6], to examine the effect of different electrolytes on cell performance. Specifically, the behavior of a high energy LiCoO2/graphite 18650-size cell is simulated. The ability of Battery Design Studio to si

  7. Load management strategy for Particle-In-Cell simulations in high energy physics

    E-Print Network [OSTI]

    Beck, Arnaud; Derouillat, Julien

    2015-01-01

    In the wake of the intense effort made for the experimental CILEX project, numerical simulation campaigns have been carried out in order to finalize the design of the facility and to identify optimal laser and plasma parameters. These simulations bring, of course, important insight into the fundamental physics at play. As a by-product, they also characterize the quality of our theoretical and numerical models. By comparing the results given by different codes, it is possible to point out algorithmic limitations both in terms of physical accuracy and computational performances. In this paper we illustrate some of these limitations in the context of electron laser wakefield acceleration (LWFA). The main limitation we identify in state-of-the-art Particle-In-Cell (PIC) codes is computational load imbalance. We propose an innovative algorithm to deal with this specific issue as well as milestones towards a modern, accurate high-performance PIC code for high energy physics.

  8. Energy loss of intergalactic pair beams: Particle-in-Cell simulation

    E-Print Network [OSTI]

    Kempf, Andreas; Spanier, Felix

    2015-01-01

    The change of the distribution function of electron-positron pair beams determines whether GeV photons can be produced as secondary radiation from TeV photons. We will discuss the instabilities driven by pair beams. The system of a thermal proton-electron plasma and the electron-positron beam is collision free. We have, therefore, used the Particle-in-Cell simulation approach. It was necessary to alter the physical parameters, but the ordering of growth rates has been retained. We were able to show that plasma instabilities can be recovered in particle-in-cell simulations, but their effect on the pair distribution function is negligible for beam-background energy density ratios typically found in blazars.

  9. On-Site Generation Simulation with EnergyPlus for Commercial Buildings

    E-Print Network [OSTI]

    Stadler, Michael; Firestone, Ryan; Curtil, Dimitri; Marnay, Chris

    2006-01-01

    Efficiency and Renewable Energy, Distributed Energy ProgramEfficiency and Renewable Energy, Distributed Energy Program

  10. Simulation of deep-bed drying of Virginia peanuts to minimize energy use

    SciTech Connect (OSTI)

    Kulasiri, G.D.

    1990-01-01

    A deep-bed drying model simulating the drying of peanuts in a fixed bed is required for designing energy-efficient and automatically controlled dryers. A deep-red drying model consists of a thin-layer drying model to calculate the moisture release from the material and a set of mass and energy balances. An experimental setup was constructed to determine drying rates of Virginia-type peanuts under 14 different drying air conditions. Selected empirical and semi-theoretical models available for modeling thin-layer drying rates were fitted to the collected data using nonlinear regression techniques. The modified Page's model and the two-term exponential model fitted the data better than other models considered. A deep-bed drying model PEATECH based on four coupled partial differential equations consisting of four variables, air temperature, peanut temperature, air humidity, and peanut moisture content was developed. Validation of the model was accomplished by using the data collected from 36 deep-bed drying experiments conducted using three laboratory dryers during 1987, 1988, and 1989. PEATECH predicted the variables within a peanut bed with an accuracy of less than {plus minus} 6%. The energy saving potential of exhaust-air recirculation was established by conducting simulated experiments using a modified version of PEATECH.

  11. Summary of: Simulating the Value of Concentrating Solar Power with Thermal Energy Storage in a Production Cost Model (Presentation)

    SciTech Connect (OSTI)

    Denholm, P.; Hummon, M.

    2013-02-01

    Concentrating solar power (CSP) deployed with thermal energy storage (TES) provides a dispatchable source of renewable energy. The value of CSP with TES, as with other potential generation resources, needs to be established using traditional utility planning tools. Production cost models, which simulate the operation of grid, are often used to estimate the operational value of different generation mixes. CSP with TES has historically had limited analysis in commercial production simulations. This document describes the implementation of CSP with TES in a commercial production cost model. It also describes the simulation of grid operations with CSP in a test system consisting of two balancing areas located primarily in Colorado.

  12. Estimation of Energy Baseline by Simulation for On-going Commissioning and Energy Saving Retrofit 

    E-Print Network [OSTI]

    Miyata, M.; Yoshida, H.; Asada, M.; Iwata, T.; Tanabe, Y.; Yanagisawa, T.

    2006-01-01

    ,rq : Rated chilled capacity of R-1 [kW] 2,rq : Rated chilled capacity of R-2 [kW] [1] IPMVP New Costruction Subcommittee: Concepts and Options for Determining Energy and Water Savings Volume I, International Performance Measerment...

  13. Strategic Plan for Nuclear Energy -- Knowledge Base for Advanced Modeling and Simulation (NE-KAMS)

    SciTech Connect (OSTI)

    Rich Johnson; Kimberlyn C. Mousseau; Hyung Lee

    2011-09-01

    NE-KAMS knowledge base will assist computational analysts, physics model developers, experimentalists, nuclear reactor designers, and federal regulators by: (1) Establishing accepted standards, requirements and best practices for V&V and UQ of computational models and simulations, (2) Establishing accepted standards and procedures for qualifying and classifying experimental and numerical benchmark data, (3) Providing readily accessible databases for nuclear energy related experimental and numerical benchmark data that can be used in V&V assessments and computational methods development, (4) Providing a searchable knowledge base of information, documents and data on V&V and UQ, and (5) Providing web-enabled applications, tools and utilities for V&V and UQ activities, data assessment and processing, and information and data searches. From its inception, NE-KAMS will directly support nuclear energy research, development and demonstration programs within the U.S. Department of Energy (DOE), including the Consortium for Advanced Simulation of Light Water Reactors (CASL), the Nuclear Energy Advanced Modeling and Simulation (NEAMS), the Light Water Reactor Sustainability (LWRS), the Small Modular Reactors (SMR), and the Next Generation Nuclear Power Plant (NGNP) programs. These programs all involve computational modeling and simulation (M&S) of nuclear reactor systems, components and processes, and it is envisioned that NE-KAMS will help to coordinate and facilitate collaboration and sharing of resources and expertise for V&V and UQ across these programs. In addition, from the outset, NE-KAMS will support the use of computational M&S in the nuclear industry by developing guidelines and recommended practices aimed at quantifying the uncertainty and assessing the applicability of existing analysis models and methods. The NE-KAMS effort will initially focus on supporting the use of computational fluid dynamics (CFD) and thermal hydraulics (T/H) analysis for M&S of nuclear reactor systems, components and processes, and will later expand to include materials, fuel system performance and other areas of M&S as time and funding allow.

  14. Energy Audit and Simulated Conservation Opportunities for a Renovated Mixed-Use Academic Building 

    E-Print Network [OSTI]

    Bejrowski, M.; Manteufel, R.; Arnold, N.; Rashed-Ali, H.

    2008-01-01

    ://sbdcnet.org/index.php?option=com_doc man&Itemid=269&task=doc_download&gid =406 (accessed August, 2008). Hirsch,J., 2003, eQUEST, Quick Energy Simulation Tool: Introductory Tutorial, James J. Hirsch and Associates. Available online at: http://www.doe2.com/download/equest/eQUE STv3...-40_Tutorial.exe , (accessed May 2006). RSMeans, 2002. RSMeans Mechanical Cost Data. 25 th Annual Edition. Kingston, MA: Construction Publishers and Consultants. ASHRAE, 2003. ASHRAE Handbook: HVAC Applications. Atlanta, GA: American Society...

  15. Entropic measure to prevent energy over-minimization in molecular dynamics simulations

    E-Print Network [OSTI]

    Rydzewski, Jakub; Nowak, Wieslaw

    2015-01-01

    Geometry optimization via energy minimization is one of the most common steps in computer modelling of biological structures. Nowadays computer power encourage numerous researches to use conjugated gradient minimizations exceeding 1000 steps. However, our research reveals that such over-minimization may lead to thermodynamically unstable conformations. We show that these conformations are not optimum starting points for equilibrium molecular dynamics simulations. We propose a measure based on the Pareto front of total entropy for quality assessment of minimized protein which warrants a proper selection of minimization steps.

  16. Formalism for Simulation-based Optimization of Measurement Errors in High Energy Physics

    E-Print Network [OSTI]

    Yuehong Xie

    2009-04-29

    Miminizing errors of the physical parameters of interest should be the ultimate goal of any event selection optimization in high energy physics data analysis involving parameter determination. Quick and reliable error estimation is a crucial ingredient for realizing this goal. In this paper we derive a formalism for direct evaluation of measurement errors using the signal probability density function and large fully simulated signal and background samples without need for data fitting and background modelling. We illustrate the elegance of the formalism in the case of event selection optimization for CP violation measurement in B decays. The implication of this formalism on choosing event variables for data analysis is discussed.

  17. Energy Impacts of Oversized Residential Air Conditioners -- Simulation Study of Retrofit Sequence Impacts

    SciTech Connect (OSTI)

    Booten, C.; Christensen, C.; Winkler, J.

    2014-11-01

    This research addresses the question of what are the energy consequences for oversizing of an air conditioner in a home. Conventional wisdom holds that oversizing the AC results in significant energy penalties. However, the reason for this was shown to be due to crankcase heaters and not due to cycling performance of the AC, and is only valid for a particular set of assumptions. Adding or removing individual characteristics, such as ducts or crankcase heaters, can have measurable impacts on energy use. However, with all other home characteristics held constant, oversizing the AC generally has a small effect on cooling energy use, even if the cycling performance of the unit is poor. The relevant aspects of air conditioner modeling are discussed to illustrate the effects of the cycling loss coefficient, Cd, capacity, climate, ducts and parasitic losses such as crankcase heaters. A case study of a typical 1960's vintage home demonstrates results in the context of whole building simulations using EnergyPlus.

  18. Lennard-Jones systems near solid walls: Computing interfacial free energies from molecular simulation methods

    E-Print Network [OSTI]

    Ronald Benjamin; Jürgen Horbach

    2013-06-03

    Different computational techniques in combination with molecular dynamics computer simulation are used to to determine the wall-liquid and the wall-crystal interfacial free energies of a modified Lennard-Jones (LJ) system in contact with a solid wall. Two different kinds of solid walls are considered: a flat structureless wall and a structured wall consisting of an ideal crystal with the particles rigidly attached to fcc lattice sites. Interfacial free energies are determined by a thermodynamic integration scheme, the anisotropy of the pressure tensor, the non-equilibrium work method based on Bennett acceptance criteria, and a method using Cahn's adsorption equations based on the interfacial thermodynamics of Gibbs. For the flat wall, interfacial free energies as a function of different densities of the LJ liquid and as a function of temperature along the coexistence curve are calculated. In case of a structured wall, the interaction strength between the wall and the LJ system and the lattice constant of the structured wall are varied. Using the values of the wall-liquid and wall-crystal interfacial energies along with the value for the crystal-liquid interfacial free energy determined previously for the same system by the "cleaving potential method", we obtain the contact angle as a function of various parameters; in particular the conditions are found under which partial wetting occurs.

  19. Heat Pump Water Heater Technology Assessment Based on Laboratory Research and Energy Simulation Models: Preprint

    SciTech Connect (OSTI)

    Hudon, K.; Sparn, B.; Christensen, D.; Maguire, J.

    2012-02-01

    This paper explores the laboratory performance of five integrated Heat Pump Water Heaters (HPWHs) across a wide range of operating conditions representative of US climate regions. Laboratory results demonstrate the efficiency of this technology under most of the conditions tested and show that differences in control schemes and design features impact the performance of the individual units. These results were used to understand current model limitations, and then to bracket the energy savings potential for HPWH technology in various US climate regions. Simulation results show that HPWHs are expected to provide significant energy savings in many climate zones when compared to other types of water heaters (up to 64%, including impact on HVAC systems).

  20. Use of Computer Simulation to Reduce the Energy Consumption in a Tall Office Building in Dubai-UAE 

    E-Print Network [OSTI]

    Abu-Hijleh, B.; Abu-Dakka, M.

    2010-01-01

    . Applied Energy 84:1199?1209. Nabil, A. and Mardaljevic, J. 2006. Useful daylight illuminances: A replacement for daylight factors. Energy and Buildings 38:905?913. Reinhart, C.F. 2006. Tutorial on the Use of Daysim Simulations for Sustainable...

  1. Researchers at the National Renewable Energy Laboratory (NREL) develop a high-fidelity large-eddy simulation model

    E-Print Network [OSTI]

    Researchers at the National Renewable Energy Laboratory (NREL) develop a high-fidelity large-eddy simulation model designed to predict the performance of large wind plants with a higher degree of accuracy than current models. As the market for wind energy grows, wind turbines and wind plants are becoming

  2. Intercomparison of the seasonal cycle in 200 hPa kinetic energy in AMIP GCM simulations

    SciTech Connect (OSTI)

    Boyle, J.S.

    1996-10-01

    The 200 hPa kinetic energy is represented by means of the spherical harmonic components for the Atmospheric Model Intercomparison Project (AMIP) simulations, the National Center for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis and the European Centre for Medium Range Weather Forecast Reanalysis (ERA). The data used are the monthly mean wind fields from 1979 to 1988. The kinetic energy is decomposed into the divergent (DKE) and rotational (RKE) components and emphasis is placed on examining the former. The two reanalysis data sets show reasonable agreement that is best for the rotational kinetic energy. The largest difference in the divergent kinetic energy occurs during the northern summer. As might be expected, the two analyses are closet in regions where there are sufficient observations such that the effect of the model used in the assimilation cycle are minimized. The observed RKE show only a slight seasonal cycle with a maximum occuring during the northern winter. The DKE, on the other hand, has a very pronounced seasonal cycle with maxima at the solsticial seasons and minima during the equinoctial seasons. The model results show a very large spread in the magnitudes of the RKE and DKE although the models all evince a seasonal variation in phase with that observed. The median values of the seasonal cycle of RKE and DKE for the models are usually superior to those of any individual model. Results are also presented for simulation following the AMIP protocol but using updated versions of the original AMIP entries. In most cases these new integrations show better agreement with the observations.

  3. Simulation-based assessment of the energy savings benefits of integrated control in office buildings

    E-Print Network [OSTI]

    Hong, T.

    2011-01-01

    Energy Efficiency and Renewable Energy, Office of BuildingEnergy Efficiency and Renewable Energy, Office of BuildingEnergy Efficiency and Renewable Energy, U.S. Department of

  4. The Quick Energy Simulation Tool (eQUEST) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al., 2013) |InformationThe Needles GeothermalFinance | Open

  5. Simulation studies for operating electron beam ion trap at very low energy for disentangling edge plasma spectra

    SciTech Connect (OSTI)

    Jin Xuelong; Fei Zejie; Xiao Jun; Lu Di; Hutton, Roger; Zou Yaming [Key Lab of Applied Ion Beam Physics, Ministry of Education, China and Shanghai EBIT laboratory, Modern Physics Institute, Fudan University, Shanghai (China)

    2012-07-15

    Electron beam ion traps (EBITs) are very useful tools for disentanglement studies of atomic processes in plasmas. In order to assist studies on edge plasma spectroscopic diagnostics, a very low energy EBIT, SH-PermEBIT, has been set up at the Shanghai EBIT lab. In this work, simulation studies for factors which hinder an EBIT to operate at very low electron energies were made based on the Tricomp (Field Precision) codes. Longitudinal, transversal, and total kinetic energy distributions were analyzed for all the electron trajectories. Influences from the electron current and electron energy on the energy depression caused by the space charge are discussed. The simulation results show that although the energy depression is most serious along the center of the electron beam, the electrons in the outer part of the beam are more likely to be lost when an EBIT is running at very low energy. Using the simulation results to guide us, we successfully managed to reach the minimum electron beam energy of 60 eV with a beam transmission above 57% for the SH-PermEBIT. Ar and W spectra were measured from the SH-PermEBIT at the apparent electron beam energies (read from the voltage difference between the electron gun cathode and the central drift tube) of 60 eV and 1200 eV, respectively. The spectra are shown in this paper.

  6. A Convective-like Energy-Stable Open Boundary Condition for Simulations of Incompressible Flows

    E-Print Network [OSTI]

    Dong, Suchuan

    2015-01-01

    We present a new energy-stable open boundary condition, and an associated numerical algorithm, for simulating incompressible flows with outflow/open boundaries. This open boundary condition ensures the energy stability of the system, even when strong vortices or backflows occur at the outflow boundary. Under certain situations it can be reduced to a form that can be analogized to the usual convective boundary condition. One prominent feature of this boundary condition is that it provides a control over the velocity on the outflow/open boundary. This is not available with the other energy-stable open boundary conditions from previous works. Our numerical algorithm treats the proposed open boundary condition based on a rotational velocity-correction type strategy. It gives rise to a Robin-type condition for the discrete pressure and a Robin-type condition for the discrete velocity on the outflow/open boundary, respectively at the pressure and the velocity sub-steps. We present extensive numerical experiments on...

  7. Evaluation of Automated Model Calibration Techniques for Residential Building Energy Simulation

    SciTech Connect (OSTI)

    Robertson, J.; Polly, B.; Collis, J.

    2013-09-01

    This simulation study adapts and applies the general framework described in BESTEST-EX (Judkoff et al 2010) for self-testing residential building energy model calibration methods. BEopt/DOE-2.2 is used to evaluate four mathematical calibration methods in the context of monthly, daily, and hourly synthetic utility data for a 1960's-era existing home in a cooling-dominated climate. The home's model inputs are assigned probability distributions representing uncertainty ranges, random selections are made from the uncertainty ranges to define 'explicit' input values, and synthetic utility billing data are generated using the explicit input values. The four calibration methods evaluated in this study are: an ASHRAE 1051-RP-based approach (Reddy and Maor 2006), a simplified simulated annealing optimization approach, a regression metamodeling optimization approach, and a simple output ratio calibration approach. The calibration methods are evaluated for monthly, daily, and hourly cases; various retrofit measures are applied to the calibrated models and the methods are evaluated based on the accuracy of predicted savings, computational cost, repeatability, automation, and ease of implementation.

  8. Evaluation of Automated Model Calibration Techniques for Residential Building Energy Simulation

    SciTech Connect (OSTI)

    and Ben Polly, Joseph Robertson; Polly, Ben; Collis, Jon

    2013-09-01

    This simulation study adapts and applies the general framework described in BESTEST-EX (Judkoff et al 2010) for self-testing residential building energy model calibration methods. BEopt/DOE-2.2 is used to evaluate four mathematical calibration methods in the context of monthly, daily, and hourly synthetic utility data for a 1960's-era existing home in a cooling-dominated climate. The home's model inputs are assigned probability distributions representing uncertainty ranges, random selections are made from the uncertainty ranges to define "explicit" input values, and synthetic utility billing data are generated using the explicit input values. The four calibration methods evaluated in this study are: an ASHRAE 1051-RP-based approach (Reddy and Maor 2006), a simplified simulated annealing optimization approach, a regression metamodeling optimization approach, and a simple output ratio calibration approach. The calibration methods are evaluated for monthly, daily, and hourly cases; various retrofit measures are applied to the calibrated models and the methods are evaluated based on the accuracy of predicted savings, computational cost, repeatability, automation, and ease of implementation.

  9. Weather data analysis based on typical weather sequence analysis. Application: energy building simulation

    E-Print Network [OSTI]

    David, Mathieu; Garde, Francois; Boyer, Harry

    2014-01-01

    In building studies dealing about energy efficiency and comfort, simulation software need relevant weather files with optimal time steps. Few tools generate extreme and mean values of simultaneous hourly data including correlation between the climatic parameters. This paper presents the C++ Runeole software based on typical weather sequences analysis. It runs an analysis process of a stochastic continuous multivariable phenomenon with frequencies properties applied to a climatic database. The database analysis associates basic statistics, PCA (Principal Component Analysis) and automatic classifications. Different ways of applying these methods will be presented. All the results are stored in the Runeole internal database that allows an easy selection of weather sequences. The extreme sequences are used for system and building sizing and the mean sequences are used for the determination of the annual cooling loads as proposed by Audrier-Cros (Audrier-Cros, 1984). This weather analysis was tested with the datab...

  10. The Nuclear Energy Advanced Modeling and Simulation Enabling Computational Technologies FY09 Report

    SciTech Connect (OSTI)

    Diachin, L F; Garaizar, F X; Henson, V E; Pope, G

    2009-10-12

    In this document we report on the status of the Nuclear Energy Advanced Modeling and Simulation (NEAMS) Enabling Computational Technologies (ECT) effort. In particular, we provide the context for ECT In the broader NEAMS program and describe the three pillars of the ECT effort, namely, (1) tools and libraries, (2) software quality assurance, and (3) computational facility (computers, storage, etc) needs. We report on our FY09 deliverables to determine the needs of the integrated performance and safety codes (IPSCs) in these three areas and lay out the general plan for software quality assurance to meet the requirements of DOE and the DOE Advanced Fuel Cycle Initiative (AFCI). We conclude with a brief description of our interactions with the Idaho National Laboratory computer center to determine what is needed to expand their role as a NEAMS user facility.

  11. Simulation of L-mode Tokamak Discharges and ITER Performance with Energy Transport Coefficients of Bohm and Gyro-Bohm Type

    E-Print Network [OSTI]

    Simulation of L-mode Tokamak Discharges and ITER Performance with Energy Transport Coefficients of Bohm and Gyro-Bohm Type

  12. Simulation studies of hadron energy resolution as a function of iron plate thickness at INO-ICAL

    E-Print Network [OSTI]

    Lakshmi S. Mohan; Anushree Ghosh; Moon Moon Devi; Daljeet Kaur; Sandhya Choubey; Amol Dighe; D. Indumathi; M. V. N. Murthy; Md. Naimuddin

    2015-03-11

    We report on a detailed simulation study of the hadron energy resolution as a function of the thickness of the absorber plates for the proposed Iron Calorimeter (ICAL) detector at the India-based Neutrino Observatory (INO). We compare the hadron resolutions obtained with absorber thicknesses in the range 1.5--8 cm for neutrino interactions in the energy range 2--15 GeV, which is relevant to hadron production in atmospheric neutrino interactions. We find that at lower energies, the thickness dependence of energy resolution is steeper than at higher energies, however there is a thickness-independent contribution that dominates at the lower thicknesses discussed in this work. As a result, the gain in hadron energy resolution with decreasing plate thickness is marginal. We present the results in the form of fits to a function with energy-dependent exponent.

  13. Using CAD software to simulate PV energy yield - The case of product integrated photovoltaic operated under indoor solar irradiation

    SciTech Connect (OSTI)

    Reich, N.H.; van Sark, W.G.J.H.M.; Turkenburg, W.C.; Sinke, W.C.

    2010-08-15

    In this paper, we show that photovoltaic (PV) energy yields can be simulated using standard rendering and ray-tracing features of Computer Aided Design (CAD) software. To this end, three-dimensional (3-D) sceneries are ray-traced in CAD. The PV power output is then modeled by translating irradiance intensity data of rendered images back into numerical data. To ensure accurate results, the solar irradiation data used as input is compared to numerical data obtained from rendered images, showing excellent agreement. As expected, also ray-tracing precision in the CAD software proves to be very high. To demonstrate PV energy yield simulations using this innovative concept, solar radiation time course data of a few days was modeled in 3-D to simulate distributions of irradiance incident on flat, single- and double-bend shapes and a PV powered computer mouse located on a window sill. Comparisons of measured to simulated PV output of the mouse show that also in practice, simulation accuracies can be very high. Theoretically, this concept has great potential, as it can be adapted to suit a wide range of solar energy applications, such as sun-tracking and concentrator systems, Building Integrated PV (BIPV) or Product Integrated PV (PIPV). However, graphical user interfaces of 'CAD-PV' software tools are not yet available. (author)

  14. PSERC Future Grid Initiative: A Research Program Sponsored by the Office of Electricity Delivery and Energy Reliability, U.S. DOE Probabilistic Simulation Methodology for

    E-Print Network [OSTI]

    Gross, George

    and Energy Reliability, U.S. DOE Probabilistic Simulation Methodology for Evaluation of Renewable Resource on the development of a comprehensive, stochastic simulation approach for power systems with renewable and storage of the transmission constraints on the hourly day- ahead markets. We adopt Monte Carlo simulation techniques

  15. Energy management of power-split plug-in hybrid electric vehicles based on simulated annealing and Pontryagin's minimum principle

    E-Print Network [OSTI]

    Mi, Chunting "Chris"

    Energy management of power-split plug-in hybrid electric vehicles based on simulated annealing Accepted 14 August 2014 Available online 27 August 2014 Keywords: Plug-in hybrid electric vehicles Fuel management method is proposed for a power-split plug-in hybrid electric vehicle (PHEV). Through analyzing

  16. Free energies, vacancy concentrations and density distribution anisotropies in hard--sphere crystals: A combined density functional and simulation study

    E-Print Network [OSTI]

    M. Oettel; S. Goerig; A. Haertel; H. Loewen; M. Radu; T. Schilling

    2010-09-03

    We perform a comparative study of the free energies and the density distributions in hard sphere crystals using Monte Carlo simulations and density functional theory (employing Fundamental Measure functionals). Using a recently introduced technique (Schilling and Schmid, J. Chem. Phys 131, 231102 (2009)) we obtain crystal free energies to a high precision. The free energies from Fundamental Measure theory are in good agreement with the simulation results and demonstrate the applicability of these functionals to the treatment of other problems involving crystallization. The agreement between FMT and simulations on the level of the free energies is also reflected in the density distributions around single lattice sites. Overall, the peak widths and anisotropy signs for different lattice directions agree, however, it is found that Fundamental Measure theory gives slightly narrower peaks with more anisotropy than seen in the simulations. Among the three types of Fundamental Measure functionals studied, only the White Bear II functional (Hansen-Goos and Roth, J. Phys.: Condens. Matter 18, 8413 (2006)) exhibits sensible results for the equilibrium vacancy concentration and a physical behavior of the chemical potential in crystals constrained by a fixed vacancy concentration.

  17. Simulation Scenarios for the Western Electricity Market A Discussion Paper for the California Energy Commission Workshop on

    E-Print Network [OSTI]

    Ford, Andrew

    Simulation Scenarios for the Western Electricity Market A Discussion Paper for the California Energy Commission Workshop on Alternative Market Structures for California November 2001 Professor Andrew This paper was written to promote discussion at a workshop on alternative electricity markets in California

  18. Co-Simulation of Building Energy and Control Systems with the Building Controls Virtual Test Bed

    E-Print Network [OSTI]

    Wetter, Michael

    2012-01-01

    their control and energy management systems. ASHRAE Trans-schedules, Energy Management System (EMS) actuator objects

  19. AQUIFER THERMAL ENERGY STORAGE. A NUMERICAL SIMULATION OF AUBURN UNIVERSITY FIELD EXPERIMENTS

    E-Print Network [OSTI]

    Tsang, Chin Fu

    2013-01-01

    within the Seasonal Thermal Energy Storage Program managedof a seasonal aquifer thermal energy storage experiment

  20. Mitigating emissions and energy consumption for urban transportation networks : simulation-based signal control strategies

    E-Print Network [OSTI]

    Nanduri, Kanchana

    2013-01-01

    Microscopic urban traffic simulators embed the most detailed traveler behavior and network supply models. They represent individual vehicles and can therefore account for vehicle-specific technologies. These simulators can ...

  1. A review of methods to match building energy simulation models to measured data

    E-Print Network [OSTI]

    Coakley, Daniel; Raftery, Paul; Keane, Marcus

    2014-01-01

    for viewing building energy data: Part II. J Sol Energy Engfor viewing building energy data: Part I. J Sol Energy Engindices for building energy data [M.S. thesis]. Texas A&M

  2. Scale-dependent Energy Transfer Rate as a Tracer for Star Formation in Cosmological N-Body Simulations

    E-Print Network [OSTI]

    M. Hoeft; J. P. Muecket; P. Heide

    2002-01-14

    We investigate the energy release due to the large-scale structure formation and the subsequent transfer of energy from larger to smaller scales. We calculate the power spectra for the large-scale velocity field and show that the coupling of modes results in a transfer of power predominately from larger to smaller scales. We use the concept of cumulative energy for calculating which energy amount is deposited into the small scales during the cosmological structure evolution. To estimate the contribution due to the gravitational interaction only we perform our investigations by means of dark matter simulations. The global mean of the energy transfer increases with redshift $\\sim (z+1)^{3}$; this can be traced back to the similar evolution of the merging rates of dark matter halos. The global mean energy transfer can be decomposed into its local contributions, which allows to determine the energy injection per mass into a local volume. The obtained energy injection rates are at least comparable with other energy sources driving the interstellar turbulence as, e.g. by the supernova kinetic feedback. On that basis we make the crude assumption that processes causing this energy transfer from large to small scales, e.g. the merging of halos, may contribute substantially to drive the ISM turbulence which may eventually result in star formation on much smaller scales. We propose that the ratio of the local energy injection rate to the energy already stored within small-scale motions is a rough measure for the probability of the local star formation efficiency applicable within cosmological large-scale n-body simulations.

  3. Comparison of Simulation Methods for Evaluating Improved Fenestration Using the DOE-2.1E Building Energy Simulation Program 

    E-Print Network [OSTI]

    Mukhopadhyay, J.; Haberl, J. S.

    2006-01-01

    ). In the shading coefficient (SC) method, the program first calculates the angle-dependent solar heat gain using transmission coefficients for clear, 1/8” glass using the angle-dependent polynomial developed by ASHRAE Task Group on Energy Requirements- TGER... coefficient (SHGC) values which are used by the DOE-2.1e program. A number of studies have shown that the SHGC more accurately accounts for the angle-dependent transmittance properties than the SC method of assessing solar heat gain through windows...

  4. Isospin diffusion in semi-peripheral $^{58}Ni$ + $^{197}Au$ collisions at intermediate energies (II): Dynamical simulations

    E-Print Network [OSTI]

    E. Galichet; M. Colonna; B. Borderie; M. F. Rivet

    2008-12-15

    We study isospin effects in semi-peripheral collisions above the Fermi energy by considering the symmetric $^{58}Ni$ + $^{58}Ni$ and the asymmetric reactions $^{58}Ni$ + $^{197}Au$ over the incident energy range 52-74 A MeV. A microscopic transport model with two different parameterizations of the symmetry energy term is used to investigate the isotopic content of pre-equilibrium emission and the N/Z diffusion process. Simulations are also compared to experimental data obtained with the INDRA array and bring information on the degree of isospin equilibration observed in Ni + Au collisions. A better overall agreement between data and simulations is obtained when using a symmetry term which linearly increases with nuclear density.

  5. Progresses in Ab Initio QM/MM Free Energy Simulations of Electrostatic Energies in Proteins: Accelerated QM/MM Studies of pKa, Redox Reactions and Solvation Free Energies

    E-Print Network [OSTI]

    Kamerlin, Shina C. L.

    2009-01-01

    J. ; Glennon, T. ; Warshel, A. QM/MM approaches for studyingProgresses in Ab Initio QM/MM Free Energy Simulations ofin Proteins: Accelerated QM/MM Studies of pK a , Redox

  6. AQUIFER THERMAL ENERGY STORAGE. A NUMERICAL SIMULATION OF AUBURN UNIVERSITY FIELD EXPERIMENTS

    E-Print Network [OSTI]

    Tsang, Chin Fu

    2013-01-01

    University Thermal Energy Storage , LBL No. 10194. Edwards,modeling of thermal energy storage in aquifers, ProceedingsAquifer Thermal Energy Storage Programs (in preparation).

  7. A computer simulation appraisal of non-residential low energy cooling systems in California

    E-Print Network [OSTI]

    Bourassa, Norman; Haves, Philip; Huang, Joe

    2002-01-01

    of Nonresidential Low Energy Cooling Systems in California-of Nonresidential Low Energy Cooling Systems in Californiaof Nonresidential Low Energy Cooling Systems in California

  8. Validation Methodology to Allow Simulated Peak Reduction and Energy Performance Analysis of Residential Building Envelope with Phase Change Materials: Preprint

    SciTech Connect (OSTI)

    Tabares-Velasco, P. C.; Christensen, C.; Bianchi, M.

    2012-08-01

    Phase change materials (PCM) represent a potential technology to reduce peak loads and HVAC energy consumption in residential buildings. This paper summarizes NREL efforts to obtain accurate energy simulations when PCMs are modeled in residential buildings: the overall methodology to verify and validate Conduction Finite Difference (CondFD) and PCM algorithms in EnergyPlus is presented in this study. It also shows preliminary results of three residential building enclosure technologies containing PCM: PCM-enhanced insulation, PCM impregnated drywall and thin PCM layers. The results are compared based on predicted peak reduction and energy savings using two algorithms in EnergyPlus: the PCM and Conduction Finite Difference (CondFD) algorithms.

  9. Free energies of heavy quarks in full-QCD lattice simulations with Wilson-type quark action

    E-Print Network [OSTI]

    Y. Maezawa; S. Aoki; S. Ejiri; T. Hatsuda; N. Ishii; K. Kanaya; H. Ohno; T. Umeda

    2009-09-16

    The free energy between a static quark and an antiquark is studied by using the color-singlet Polyakov-line correlation at finite temperature in lattice QCD with 2+1 flavors of improved Wilson quarks. From the simulations on $32^3 \\times 12$, 10, 8, 6, 4 lattices in the high temperature phase, based on the fixed scale approach, we find that, the heavy-quark free energies at short distance converge to the heavy-quark potential evaluated from the Wilson loop at zero temperature, in accordance with the expected insensitivity of short distance physics to the temperature. At long distance, the heavy-quark free energies approach to twice the single-quark free energies, implying that the interaction between heavy quarks is screened. The Debye screening mass obtained from the long range behavior of the free energy is compared with the results of thermal perturbation theory.

  10. Comparisons of HVAC Simulations between EnergyPlus and DOE-2.2 for Data Centers

    E-Print Network [OSTI]

    Hong, Tianzhen

    2009-01-01

    Company. USDOE. 2007. EnergyPlus 2.1 Input Output Referenceof Energy. USDOE. 2007. EnergyPlus 2.1 Engineering Manual.Hitchcock . 2006. Using EnergyPlus for California Title-24

  11. Fusion Simulation Project. Workshop sponsored by the U.S. Department of Energy Rockville, MD, May 16-18, 2007

    SciTech Connect (OSTI)

    2007-05-16

    The mission of the Fusion Simulation Project is to develop a predictive capability for the integrated modeling of magnetically confined plasmas. This FSP report adds to the previous activities that defined an approach to integrated modeling in magnetic fusion. These previous activities included a Fusion Energy Sciences Advisory Committee panel that was charged to study integrated simulation in 2002. The report of that panel [Journal of Fusion Energy 20, 135 (2001)] recommended the prompt initiation of a Fusion Simulation Project. In 2003, the Office of Fusion Energy Sciences formed a steering committee that developed a project vision, roadmap, and governance concepts [Journal of Fusion Energy 23, 1 (2004)]. The current FSP planning effort involved forty-six physicists, applied mathematicians and computer scientists, from twenty-one institutions, formed into four panels and a coordinating committee. These panels were constituted to consider: Status of Physics Components, Required Computational and Applied Mathematics Tools, Integration and Management of Code Components, and Project Structure and Management. The ideas, reported here, are the products of these panels, working together over several months and culminating in a three-day workshop in May 2007.

  12. Fusion Simulation Project. Workshop Sponsored by the U.S. Department of Energy, Rockville, MD, May 16-18, 2007

    SciTech Connect (OSTI)

    Kritz, A.; Keyes, D.

    2007-05-18

    The mission of the Fusion Simulation Project is to develop a predictive capability for the integrated modeling of magnetically confined plasmas. This FSP report adds to the previous activities that defined an approach to integrated modeling in magnetic fusion. These previous activities included a Fusion Energy Sciences Advisory Committee panel that was charged to study integrated simulation in 2002. The report of that panel [Journal of Fusion Energy 20, 135 (2001)] recommended the prompt initiation of a Fusion Simulation Project. In 2003, the Office of Fusion Energy Sciences formed a steering committee that developed a project vision, roadmap, and governance concepts [Journal of Fusion Energy 23, 1 (2004)]. The current FSP planning effort involved forty-six physicists, applied mathematicians and computer scientists, from twenty-one institutions, formed into four panels and a coordinating committee. These panels were constituted to consider: Status of Physics Components, Required Computational and Applied Mathematics Tools, Integration and Management of Code Components, and Project Structure and Management. The ideas, reported here, are the products of these panels, working together over several months and culminating in a three-day workshop in May 2007.

  13. Policy Strategies and Paths to promote Sustainable Energy Systems - The dynamic Invert Simulation Tool

    E-Print Network [OSTI]

    Stadler, Michael; Kranzl, Lukas; Huber, Claus; Haas, Reinhard; Tsioliaridou, Elena

    2006-01-01

    which considers a rebound in energy consumption due torebound effect which leads to a partly compensation of energy

  14. Residential Energy Simulation and Scheduling: A Case Study Approach Jagannathan Venkatesh, Baris Aksanli, Tajana Simuni Rosing

    E-Print Network [OSTI]

    Simunic, Tajana

    or by providing energy information to consumers. Industrial innovations are focused on energy efficiency, green energy, residential energy management, smart scheduling I. INTRODUCTION Building energy in the hands of users. [3] presents automated energy efficiency improvement in homes that are partially powered

  15. The Water, Energy, and Carbon Dioxide Sequestration Simulation Model (WECSsim). A user's manual

    SciTech Connect (OSTI)

    Kobos, Peter Holmes; Roach, Jesse Dillon; Klise, Geoffrey Taylor; Heath, Jason E.; Dewers, Thomas A.; Gutierrez, Karen A.; Malczynski, Leonard A.; Borns, David James; McNemar, Andrea

    2014-01-01

    The Water, Energy, and Carbon Sequestration Simulation Model (WECSsim) is a national dynamic simulation model that calculates and assesses capturing, transporting, and storing CO2 in deep saline formations from all coal and natural gas-fired power plants in the U.S. An overarching capability of WECSsim is to also account for simultaneous CO2 injection and water extraction within the same geological saline formation. Extracting, treating, and using these saline waters to cool the power plant is one way to develop more value from using saline formations as CO2 storage locations. WECSsim allows for both one-to-one comparisons of a single power plant to a single saline formation along with the ability to develop a national CO2 storage supply curve and related national assessments for these formations. This report summarizes the scope, structure, and methodology of WECSsim along with a few key results. Developing WECSsim from a small scoping study to the full national-scale modeling effort took approximately 5 years. This report represents the culmination of that effort. The key findings from the WECSsim model indicate the U.S. has several decades' worth of storage for CO2 in saline formations when managed appropriately. Competition for subsurface storage capacity, intrastate flows of CO2 and water, and a supportive regulatory environment all play a key role as to the performance and cost profile across the range from a single power plant to all coal and natural gas-based plants' ability to store CO2. The overall system's cost to capture, transport, and store CO2 for the national assessment range from $74 to $208 / tonne stored ($96 to 272 / tonne avoided) for the first 25 to 50% of the 1126 power plants to between $1,585 to well beyond $2,000 / tonne stored ($2,040 to well beyond $2,000 / tonne avoided) for the remaining 75 to 100% of the plants. The latter range, while extremely large, includes all natural gas power plants in the U.S., many of which have an extremely low capacity factor and therefore relatively high system's cost to capture and store CO2.

  16. Co-Simulation of Building Energy and Control Systems with the Building Controls Virtual Test Bed

    E-Print Network [OSTI]

    Wetter, Michael

    2012-01-01

    protocol for building automation and control networks, 2004.other. Interfaces to Building Automation Systems (BAS) arebuilding performance simulation environment for early design support. Automation

  17. NREL Developing a Numerical Simulation Tool to Study Hydrokinetic Energy Conversion Devices and Arrays (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-02-01

    New code will help accelerate design improvements by providing a high-fidelity simulation tool to study power performance, structural loading, and the interactions between devices in arrays.

  18. Functional Mock-Up Unit Import in EnergyPlus For Co-Simulation

    E-Print Network [OSTI]

    Nouidui, Thierry Stephane

    2014-01-01

    F. 2012. Integration of Modelica models into an existingSimulation. 9th International Modelica Conference, SeptemberT. S. & Pang, X. 2013. Modelica Buildings library. To

  19. OpenStudio Core Development and Deployment Support - 2014 BTO...

    Energy Savers [EERE]

    Component Library; expanded functionality for model articulation, calibration, and optimization; and support for national laboratory and private-sector application of the SDK to...

  20. Modelica-based Modeling and Simulation to Support Research and Development in Building Energy and Control Systems

    SciTech Connect (OSTI)

    Wetter, Michael

    2009-02-12

    Traditional building simulation programs possess attributes that make them difficult to use for the design and analysis of building energy and control systems and for the support of model-based research and development of systems that may not already be implemented in these programs. This article presents characteristic features of such applications, and it shows how equation-based object-oriented modelling can meet requirements that arise in such applications. Next, the implementation of an open-source component model library for building energy systems is presented. The library has been developed using the equation-based object-oriented Modelica modelling language. Technical challenges of modelling and simulating such systems are discussed. Research needs are presented to make this technology accessible to user groups that have more stringent requirements with respect to the numerical robustness of simulation than a research community may have. Two examples are presented in which models from the here described library were used. The first example describes the design of a controller for a nonlinear model of a heating coil using model reduction and frequency domain analysis. The second example describes the tuning of control parameters for a static pressure reset controller of a variable air volume flow system. The tuning has been done by solving a non-convex optimization problem that minimizes fan energy subject to state constraints.

  1. Strong pressure-energy correlations in liquids as a configuration space property: Simulations of temperature down jumps and crystallization

    E-Print Network [OSTI]

    Thomas B. Schroder; Ulf R. Pedersen; Nicoletta Gnan; Jeppe C. Dyre

    2009-03-03

    Computer simulations recently revealed that several liquids exhibit strong correlations between virial and potential energy equilibrium fluctuations in the NVT ensemble [U. R. Pedersen {\\it et al.}, Phys. Rev. Lett. {\\bf 100}, 015701 (2008)]. In order to investigate whether these correlations are present also far from equilibrium constant-volume aging following a temperature down jump from equilibrium was simulated for two strongly correlating liquids, an asymmetric dumbbell model and Lewis-Wahnstr{\\"o}m OTP, as well as for SPC water that is not strongly correlating. For the two strongly correlating liquids virial and potential energy follow each other closely during the aging towards equilibrium. For SPC water, on the other hand, virial and potential energy vary with little correlation as the system ages towards equilibrium. Further proof that strong pressure-energy correlations express a configuration space property comes from monitoring pressure and energy during the crystallization (reported here for the first time) of supercooled Lewis-Wahnstr{\\"o}m OTP at constant temperature.

  2. AQUIFER THERMAL ENERGY STORAGE. A NUMERICAL SIMULATION OF AUBURN UNIVERSITY FIELD EXPERIMENTS

    E-Print Network [OSTI]

    Tsang, Chin Fu

    2013-01-01

    C.F. , 1980, "Aquifer Thermal Energy - Parameter Study" (infrom the Auburn University Thermal Energy Storage , LBL No.studies in aquifer thermal energy , Presented at the ~~~~~~~

  3. Methodology for Residential Building Energy Simulations Implemented in the International Code Compliance Calculator (IC3) 

    E-Print Network [OSTI]

    Liu, Z.; Mukhopadhyay, J.; Malhotra, M.; Haberl, J.; Gilman, D.; Montgomery, C.; McKelvey, K.; Culp, C.; Yazdani, B.

    2008-01-01

    Since 2001, Texas has been proactive in initiating clean air and energy efficiency in building policies. The Texas Emissions Reduction Plan legislation (SB 5, 77TH Leg., 2001) mandates statewide adoption of energy codes, creates a 5% annual energy...

  4. Simulated energy savings of cool roofs applied to industrial premises in the Mediterranean Area

    E-Print Network [OSTI]

    De Carli, Michele; Scarpa, Massimiliano; Schiavon, Stefano; Zecchin, Roberto

    2007-01-01

    solar radiation periods. As regards the energy aspect, the heating energy consumptionsolar radiation are prevailing, so an increase in thermal insulation implies the reduction of sensible cooling energy consumption.

  5. On-Site Generation Simulation with EnergyPlus for Commercial Buildings

    E-Print Network [OSTI]

    Stadler, Michael; Firestone, Ryan; Curtil, Dimitri; Marnay, Chris

    2006-01-01

    Steps towards an Enhanced EnergyPlus Tool Figure 8.Enhanced EnergyPlus Tool References Crawley, D. B. ,et al. “EnergyPlus: An Update. ” Proceedings of SimBuild

  6. Co-Simulation of Building Energy and Control Systems with the Building Controls Virtual Test Bed

    E-Print Network [OSTI]

    Wetter, Michael

    2012-01-01

    and Jason Glazer. EnergyPlus: creating a new-generationSPARK models embedded in EnergyPlus to communicate with theMATLAB interface and the EnergyPlus 3.0 upgrade. We thank

  7. Functional Mock-up Unit for Co-Simulation Import in EnergyPlus

    E-Print Network [OSTI]

    Nouidui, Thierry Stephane

    2014-01-01

    D.B. , et al. , 2001. EnergyPlus: Creating a New-GenerationOf Energy (DOE), 2011a. EnergyPlus Engineering Reference. [buildings/energyplus/pdfs/engineeringreference.pdf [Last

  8. ION BEAM HEATED TARGET SIMULATIONS FOR WARM DENSE MATTER PHYSICS AND INERTIAL FUSION ENERGY

    E-Print Network [OSTI]

    Barnard, J.J.

    2008-01-01

    PHYSICS AND INERTIAL FUSION ENERGY J. J. Barnard 1 , J.dense matter and inertial fusion energy related beam-targetas drivers for inertial fusion energy (IFE), for their high

  9. Simulation-based assessment of the energy savings benefits of integrated control in office buildings

    E-Print Network [OSTI]

    Hong, T.

    2011-01-01

    Control System. Energy and Buildings 33(2001): 477-487.control system. Energy and Buildings Lee ES, Yazdanian M ,Daylight Controls. Energy and Buildings 33(2001): 793-803.

  10. A SOFTWARE TOOL TO COMPARE MEASURED AND SIMULATED BUILDING ENERGY PERFORMANCE DATA

    E-Print Network [OSTI]

    Maile, Tobias

    2014-01-01

    the real building and new performance data accumulated, onesimulated building energy performance data. Ph.D. Thesis.energy performance data from buildings generated using

  11. A technical framework to describe occupant behavior for building energy simulations

    E-Print Network [OSTI]

    Turner Ph.D., William

    2014-01-01

    Hong and H. Lin, “Occupant Behavior?: Impact on Energy Useand validation of occupant behavior models, while alsoframework to describe occupant behavior for building energy

  12. Functional Mock-Up Unit Import in EnergyPlus For Co-Simulation

    E-Print Network [OSTI]

    Nouidui, Thierry Stephane

    2014-01-01

    J. & Glazer, J. 2001. EnergyPlus: creating a new-generationFrom:Variable, ! - EnergyPlus Key Value ! -Energyplus Variable Name MoistAir.fmu, ! - FMU Filename ! -

  13. High Level Requirements for the Nuclear Energy -- Knowledge Base for Advanced Modeling and Simulation (NE-KAMS)

    SciTech Connect (OSTI)

    Rich Johnson; Hyung Lee; Kimberlyn C. Mousseau

    2011-09-01

    The US Department of Energy, Office of Nuclear Energy (DOE-NE), has been tasked with the important mission of ensuring that nuclear energy remains a compelling and viable energy source in the U.S. The motivations behind this mission include cost-effectively meeting the expected increases in the power needs of the country, reducing carbon emissions and reducing dependence on foreign energy sources. In the near term, to ensure that nuclear power remains a key element of U.S. energy strategy and portfolio, the DOE-NE will be working with the nuclear industry to support safe and efficient operations of existing nuclear power plants. In the long term, to meet the increasing energy needs of the U.S., the DOE-NE will be investing in research and development (R&D) and working in concert with the nuclear industry to build and deploy new, safer and more efficient nuclear power plants. The safe and efficient operations of existing nuclear power plants and designing, licensing and deploying new reactor designs, however, will require focused R&D programs as well as the extensive use and leveraging of advanced modeling and simulation (M&S). M&S will play a key role in ensuring safe and efficient operations of existing and new nuclear reactors. The DOE-NE has been actively developing and promoting the use of advanced M&S in reactor design and analysis through its R&D programs, e.g., the Nuclear Energy Advanced Modeling and Simulation (NEAMS) and Consortium for Advanced Simulation of Light Water Reactors (CASL) programs. Also, nuclear reactor vendors are already using CFD and CSM, for design, analysis, and licensing. However, these M&S tools cannot be used with confidence for nuclear reactor applications unless accompanied and supported by verification and validation (V&V) and uncertainty quantification (UQ) processes and procedures which provide quantitative measures of uncertainty for specific applications. The Nuclear Energy Knowledge base for Advanced Modeling and Simulation (NE-KAMS) is being developed at the Idaho National Laboratory in conjunction with Bettis Laboratory, Sandia National Laboratories, Argonne National Laboratory, Utah State University and others with the objective of establishing a comprehensive and web-accessible knowledge base that will provide technical services and resources for V&V and UQ of M&S in nuclear energy sciences and engineering. The knowledge base will serve as an important resource for technical exchange and collaboration that will enable credible and reliable computational models and simulations for application to nuclear reactor design, analysis and licensing. NE-KAMS will serve as a valuable resource for the nuclear industry, academia, the national laboratories, the U.S. Nuclear Regulatory Commission (NRC) and the public and will help ensure the safe, economical and reliable operation of existing and future nuclear reactors. From its inception, NE-KAMS will directly support nuclear energy research, development and demonstration programs within the U.S. Department of Energy (DOE), including the CASL, NEAMS, Light Water Reactor Sustainability (LWRS), Small Modular Reactors (SMR), and Next Generation Nuclear Power Plant (NGNP) programs. These programs all involve M&S of nuclear reactor systems, components and processes, and it is envisioned that NE-KAMS will help to coordinate and facilitate collaboration and sharing of resources and expertise for V&V and UQ across these programs.

  14. Particle-in-cell simulation of ion energy distributions on an electrode by applying tailored bias waveforms in the afterglow of a pulsed plasma

    E-Print Network [OSTI]

    Economou, Demetre J.

    Particle-in-cell simulation of ion energy distributions on an electrode by applying tailored bias voltage waveforms with selected amplitudes and durations resulted in ion energy distributions (IED Control of the ion energy distribution (IED) and ion angular distribution (IAD) on the substrate

  15. Survey and Analysis of Weather Data for Building Energy Simulations Mahabir Bhandari, Som Shrestha, Joshua New

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    monitored and automated energy efficient research building. The comparison shows that the difference

  16. Airflow Simulation and Energy Analysis in Ventilated Room with a New Type of Air Conditioning 

    E-Print Network [OSTI]

    Liu, D.; Tang, G.; Zhao, F.

    2006-01-01

    Airflow simulation in one ventilated room with radiant heating and natural ventilation has been carried out. Three cases are compared: the closed room, the room with full openings, and the room with small openings. The ...

  17. Measurement and simulation of the impact of coherent synchrotron radiation on the Jefferson Laboratory energy recovery linac electron beam

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

    Hall, C C.; Biedron, S G.; Edelen, A L.; Milton, S V.; Benson, S; Douglas, D; Li, R; Tennant, C D.; Carlsten, B E.

    2015-03-09

    In an experiment conducted on the Jefferson Laboratory IR free-electron laser driver, the effects of coherent synchrotron radiation (CSR) on beam quality were studied. The primary goal of this work was to explore CSR output and effect on the beam with variation of the bunch compression in the IR recirculator. Here we examine the impact of CSR on the average energy loss as a function of bunch compression as well as the impact of CSR on the energy spectrum of the bunch. Simulation of beam dynamics in the machine, including the one-dimensional CSR model, shows very good agreement with themore »measured effect of CSR on the average energy loss as a function of compression. Finally, a well-defined structure is observed in the energy spectrum with a feature in the spectrum that varies as a function of the compression. This effect is examined in simulations, as well, and a simple explanation for the variation is proposed.« less

  18. The mold integration method for the calculation of the crystal-fluid interfacial free energy from simulations

    E-Print Network [OSTI]

    J. R. Espinosa; C. Vega; E. Sanz

    2014-11-26

    The interfacial free energy between a crystal and a fluid, {\\gamma} cf, is a highly relevant parameter in phenomena such as wetting or crystal nucleation and growth. Due to the difficulty of measuring {\\gamma} cf experimentally, computer simulations are often used to study the crystal-fluid interface. Here, we present a novel simulation methodology for the calculation of {\\gamma} cf . The methodology consists in using a mold composed of potential energy wells to induce the formation of a crystal slab in the fluid at coexistence conditions. This induction is done along a reversible pathway along which the free energy difference between the initial and the final states is obtained by means of thermodynamic integration. The structure of the mold is given by that of the crystal lattice planes, which allows to easily obtain the free energy for different crystal orientations. The method is validated by calculating {\\gamma} cf for previously studied systems, namely, the hard spheres and the Lennard-Jones systems. Our results for the latter show that the method is accurate enough to deal with the anisotropy of {\\gamma} cf with respect to the crystal orientation. We also calculate {\\gamma} cf for a recently proposed continuous version of the hard sphere potential and obtain the same {\\gamma} cf as for the pure hard sphere system. The method can be implemented both in Monte Carlo and Molecular Dynamics. In fact, we show that it can be easily used in combination with the popular Molecular Dynamics package GROMACS.

  19. Whole-Building Commercial HVAC System Simulation for Use in Energy Consumption Fault Detection 

    E-Print Network [OSTI]

    Painter, Frank

    2007-01-01

    Consumption The calibrated simulation of step 2 is then run using the appropriate weather input data and other measured input data that may be available (e.g., internal electrical gains, return temperatures, etc.). The output of this simulation is corrected..., temperature and pressure sensors, and VSD speeds. One of the major factors that lead to selection of this building for study was the extensive utility metering that is present. Electricity consumption, cooling consumption, and heating consumption are all...

  20. Path-integral Monte Carlo simulation of 3 vibrational shifts for CO2 in ,,He...n clusters critically tests the HeCO2 potential energy surface

    E-Print Network [OSTI]

    Le Roy, Robert J.

    Path-integral Monte Carlo simulation of 3 vibrational shifts for CO2 in ,,He...n clusters critically tests the He­CO2 potential energy surface Hui Li,1 Nicholas Blinov,2,3 Pierre-Nicholas Roy,1 2009; accepted 20 February 2009; published online 9 April 2009 Path-integral Monte Carlo simulations

  1. Building Energy Simulation Test for Existing Homes (BESTEST-EX): Instructions for Implementing the Test Procedure, Calibration Test Reference Results, and Example Acceptance-Range Criteria

    SciTech Connect (OSTI)

    Judkoff, R.; Polly, B.; Bianchi, M.; Neymark, J.; Kennedy, M.

    2011-08-01

    This publication summarizes building energy simulation test for existing homes (BESTEST-EX): instructions for implementing the test procedure, calibration tests reference results, and example acceptance-range criteria.

  2. Nuclear Energy Advanced Modeling and Simulation (NEAMS) Waste Integrated Performance and Safety Codes (IPSC) : FY10 development and integration.

    SciTech Connect (OSTI)

    Criscenti, Louise Jacqueline; Sassani, David Carl; Arguello, Jose Guadalupe, Jr.; Dewers, Thomas A.; Bouchard, Julie F.; Edwards, Harold Carter; Freeze, Geoffrey A.; Wang, Yifeng; Schultz, Peter Andrew

    2011-02-01

    This report describes the progress in fiscal year 2010 in developing the Waste Integrated Performance and Safety Codes (IPSC) in support of the U.S. Department of Energy (DOE) Office of Nuclear Energy Advanced Modeling and Simulation (NEAMS) Campaign. The goal of the Waste IPSC is to develop an integrated suite of computational modeling and simulation capabilities to quantitatively assess the long-term performance of waste forms in the engineered and geologic environments of a radioactive waste storage or disposal system. The Waste IPSC will provide this simulation capability (1) for a range of disposal concepts, waste form types, engineered repository designs, and geologic settings, (2) for a range of time scales and distances, (3) with appropriate consideration of the inherent uncertainties, and (4) in accordance with robust verification, validation, and software quality requirements. Waste IPSC activities in fiscal year 2010 focused on specifying a challenge problem to demonstrate proof of concept, developing a verification and validation plan, and performing an initial gap analyses to identify candidate codes and tools to support the development and integration of the Waste IPSC. The current Waste IPSC strategy is to acquire and integrate the necessary Waste IPSC capabilities wherever feasible, and develop only those capabilities that cannot be acquired or suitably integrated, verified, or validated. This year-end progress report documents the FY10 status of acquisition, development, and integration of thermal-hydrologic-chemical-mechanical (THCM) code capabilities, frameworks, and enabling tools and infrastructure.

  3. Simulation-based design of energy management system with storage battery for a refugee shelter in Japan

    SciTech Connect (OSTI)

    Kaji, K.; Zhang, J.; Horie, H.; Tanaka, K. [Department of Technology Management for Innovation, Graduate School of Engineering, The University of Tokyo (Japan); Akimoto, H. [Korea Advanced Institute of Science and Technology (Korea, Republic of)

    2013-12-10

    Since the massive earthquake hit eastern Japan in March, 2011, our team has participated in the recovery planning for Kesen Association, which is a group of cities in northeastern Japan. As one of our proposals for the recovery planning for the community, we are designing energy management system with renewable energy (RE) and storage batteries. Some public facilities in the area have been used as refugee shelters, but refugees had to put up with life without electricity for a while after the disaster. If RE generator and storage batteries are introduced into the facilities, it is possible to provide refugees with electricity. In this study, the sizes of photovoltaic (PV) appliances and storage batteries to be introduced into one public facility are optimized. The optimization is based on simulation, in which electric energy is managed by charge and discharge of storage battery.

  4. A low dose simulation tool for CT systems with energy integrating detectors

    SciTech Connect (OSTI)

    Zabic, Stanislav; Morton, Thomas; Brown, Kevin M.; Wang Qiu

    2013-03-15

    Purpose: This paper introduces a new strategy for simulating low-dose computed tomography (CT) scans using real scans of a higher dose as an input. The tool is verified against simulations and real scans and compared to other approaches found in the literature. Methods: The conditional variance identity is used to properly account for the variance of the input high-dose data, and a formula is derived for generating a new Poisson noise realization which has the same mean and variance as the true low-dose data. The authors also derive a formula for the inclusion of real samples of detector noise, properly scaled according to the level of the simulated x-ray signals. Results: The proposed method is shown to match real scans in number of experiments. Noise standard deviation measurements in simulated low-dose reconstructions of a 35 cm water phantom match real scans in a range from 500 to 10 mA with less than 5% error. Mean and variance of individual detector channels are shown to match closely across the detector array. Finally, the visual appearance of noise and streak artifacts is shown to match in real scans even under conditions of photon-starvation (with tube currents as low as 10 and 80 mA). Additionally, the proposed method is shown to be more accurate than previous approaches (1) in achieving the correct mean and variance in reconstructed images from pure-Poisson noise simulations (with no detector noise) under photon-starvation conditions, and (2) in simulating the correct noise level and detector noise artifacts in real low-dose scans. Conclusions: The proposed method can accurately simulate low-dose CT data starting from high-dose data, including effects from photon starvation and detector noise. This is potentially a very useful tool in helping to determine minimum dose requirements for a wide range of clinical protocols and advanced reconstruction algorithms.

  5. Method and apparatus for simulating atmospheric absorption of solar energy due to water vapor and CO{sub 2}

    DOE Patents [OSTI]

    Sopori, B.L.

    1995-06-20

    A method and apparatus for improving the accuracy of the simulation of sunlight reaching the earth`s surface includes a relatively small heated chamber having an optical inlet and an optical outlet, the chamber having a cavity that can be filled with a heated stream of CO{sub 2} and water vapor. A simulated beam comprising infrared and near infrared light can be directed through the chamber cavity containing the CO{sub 2} and water vapor, whereby the spectral characteristics of the beam are altered so that the output beam from the chamber contains wavelength bands that accurately replicate atmospheric absorption of solar energy due to atmospheric CO{sub 2} and moisture. 8 figs.

  6. Method and apparatus for simulating atomospheric absorption of solar energy due to water vapor and CO.sub.2

    DOE Patents [OSTI]

    Sopori, Bhushan L. (Denver, CO)

    1995-01-01

    A method and apparatus for improving the accuracy of the simulation of sunlight reaching the earth's surface includes a relatively small heated chamber having an optical inlet and an optical outlet, the chamber having a cavity that can be filled with a heated stream of CO.sub.2 and water vapor. A simulated beam comprising infrared and near infrared light can be directed through the chamber cavity containing the CO.sub.2 and water vapor, whereby the spectral characteristics of the beam are altered so that the output beam from the chamber contains wavelength bands that accurately replicate atmospheric absorption of solar energy due to atmospheric CO.sub.2 and moisture.

  7. Conservation of Energy Through The Use of a Predictive Performance Simulator of Operating Cooling Water Systems 

    E-Print Network [OSTI]

    Schell, C. J.

    1981-01-01

    Conservation of energy is an important consideration in the operation of cooling water systems. Conserving energy by operating at the most effective cycles of concentration and by keeping heat exchangers clean is contingent upon having the optimum...

  8. Comparisons of HVAC Simulations between EnergyPlus and DOE-2.2 for Data Centers

    E-Print Network [OSTI]

    Hong, Tianzhen

    2009-01-01

    kWh) DOE?2.2 EnergyPlus % Difference Figure 7 – Monthly Cooling Electricity Consumption for Phoenix kWh) DOE?2.2 EnergyPlus % Difference Figure 8 – Monthly Cooling Electricity Consumption for Phoenix 

  9. Microprocessor Energy Characterization and Optimization through Fast, Accurate, and Flexible Simulation

    E-Print Network [OSTI]

    of the requirements for the degree of Master of Science in Electrical Engineering and Computer Science Abstract Energy data values. This work shows that a few relatively simple energy-saving techniques can have a largeMicroprocessor Energy Characterization and Optimization through Fast, Accurate, and Flexible

  10. Cooling energy demand evaluation by means of regression models obtained from dynamic simulations

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    European Union has agreed a forward-looking political agenda to achieve its core energy objectives their positions to exert political pressure - inadequate energy efficiency measures in Europe,, or ,,impact of EU consumption and CO2 emissions. Buildings account for 40­45% of energy consumption in Europe and China (and

  11. Entropy and multifractal analysis of multiplicity distributions from pp simulated events up to LHC energies

    E-Print Network [OSTI]

    M. K. Suleymanov; M. Sumbera; I. Zborovsky

    2003-04-22

    Using three different Monte Carlo generators of high energy proton-proton collisions (HIJING, NEXUS, and PSM) we study the energy dependence of multiplicity distributions of charged particles including the LHC energy range. Results are used for calculation of the information entropy, Renyi's dimensions and other multifractal characteristics of particle production.

  12. Ion beam heated target simulations for warm dense matter physics and inertial fusion energy$

    E-Print Network [OSTI]

    Wurtele, Jonathan

    and foams) are presented. Experimental configurations include single-pulse planar metallic solid and foam, and a breeder of the tritium component of the fuel. Because of high accelerator efficiency, both indirect drive coupling efficiency (ratio of fuel kinetic energy to beam energy) because of the energy penalty

  13. Experimental and Computer Simulation Study of Radionuclide Production in Heavy Materials Irradiated by Intermediate Energy Protons

    E-Print Network [OSTI]

    Yu. E. Titarenko; O. V. Shvedov; V. F. Batyaev; E. I. Karpikhin; V. M. Zhivun; R. D. Mulambetov; A. N. Sosnin; S. G. Mashnik; R. E. Prael; T. A. Gabriel; M. Blann

    1999-08-19

    The results of measurements and computer simulations are presented for the yields of residual product nuclei in thin targets: U-nat irradiated by 0.1, 0.8, 1.2, and 1.6 GeV and Tc-99 irradiated by 0.2, 0.8, 1.0, 1.4, and 1.6 GeV protons. The yields were measured at ITEP by direct high-precision gamma spectrometry. About 820 cross sections are presented and used in comparison between measured yields and simulations by the LAHET, INUCL, CEM95, HETC, CASCADE, YIELDX, and ALICE codes.

  14. SIMULATING EVOLUTION OF TECHNOLOGY

    E-Print Network [OSTI]

    SIMULATING EVOLUTION OF TECHNOLOGY: AN AID TO ENERGY POLICY ANALYSIS A CASE STUDY OF STRATEGIES Approval Name: John Nyboer Degree: Doctor of Philosophy Title of Thesis: Simulating Evolution of Technology

  15. Simulation of energy use in residential water heating systems Carolyn Dianarose Schneyer

    E-Print Network [OSTI]

    Victoria, University of

    around BC: Kamloops, Victoria and Williams Lake. Electric and gas-fired tank water heaters of various such as solar-assisted pre-heat and waste water heat recovery components. A total of 7,488 six- day simulations The resulting data is presented from a variety of angles, including the relative impacts of water heater rating

  16. Wind Energy-Related Atmospheric Boundary Layer Large-Eddy Simulation Using OpenFOAM: Preprint

    SciTech Connect (OSTI)

    Churchfield, M.J.; Vijayakumar, G.; Brasseur, J.G.; Moriarty, P.J.

    2010-08-01

    This paper develops and evaluates the performance of a large-eddy simulation (LES) solver in computing the atmospheric boundary layer (ABL) over flat terrain under a variety of stability conditions, ranging from shear driven (neutral stratification) to moderately convective (unstable stratification).

  17. Energy dynamics in a simulation of LAPD turbulence B. Friedman,1,a)

    E-Print Network [OSTI]

    Carter, Troy

    in a 3D fluid simulation of drift wave turbulence in the linear Large Plasma Device [W. Gekelman et al of magnetically confined plasmas that neglect stable branches of the linear dispersion relation often miss details, USA 3 Department of Physics, University of York, Heslington, York YO10 5DD, United Kingdom (Received 5

  18. AQUIFER THERMAL ENERGY STORAGE. A NUMERICAL SIMULATION OF AUBURN UNIVERSITY FIELD EXPERIMENTS

    E-Print Network [OSTI]

    Tsang, Chin Fu

    2013-01-01

    Current aquifer thermal storage projects are summarized in aDivision of Thermal and Mechanical Storage Systems. ThisAuburn University Thermal Energy Storage , LBL No. 10194.

  19. Study of Multifamily Energy Retrofit Using Flexible Multizone Building Simulation Model

    Office of Energy Efficiency and Renewable Energy (EERE)

    This presentation was delivered at the U.S. Department of Energy Building America Technical Update meeting on April 29-30, 2013, in Denver, Colorado.

  20. Molecular dynamics simulations of low-energy ,,25200 eV... argon ion interactions with silicon surfaces: Sputter yields and product

    E-Print Network [OSTI]

    Economou, Demetre J.

    Molecular dynamics simulations of low-energy ,,25­200 eV... argon ion interactions with silicon surfaces: Sputter yields and product formation pathways Nawoyuki A. Kubota and Demetre J. Economoua) Plasma energy ( 200 eV ion interactions with surfaces. In particular, atomic layer etching requires etching

  1. Numerical Simulations of a Wave Energy Conversion Device Used for Oceanographic Buoys 

    E-Print Network [OSTI]

    Lee, Yongseok

    2014-07-24

    to the buoy system due to vandalism, each being expensive propositions. In order to reduce the costs and utilize green energy, this thesis research investigates the use of incorporating a pendulum wave energy conversion (WEC) device as a permanent or semi...

  2. POWER EVALUATION FOR FLUTTER-BASED ELECTROMAGNETIC ENERGY HARVESTER USING CFD SIMULATIONS

    E-Print Network [OSTI]

    Stanford University

    , Weimar, Germany 3 KOCED Wind Tunnel Center, Department of Civil Engineering, Chonbuk National University, Chonju, Korea #12;generating systems such as wind turbines, thermal generators, and solar panels, energy regularly can be eliminated and the maintenance cost of wireless sensor networks can be reduced. Wind energy

  3. POWER EVALUATION FOR FLUTTER-BASED ELCTROMAGNETIC ENERGY HARVESTER USING CFD SIMULATIONS

    E-Print Network [OSTI]

    Stanford University

    , Germany 3 KOCED Wind Tunnel Center, Department of Civil Engineering Chonbuk National University, Chonju into electricity. Unlike conventional, large-scale renewable energy generating systems such as wind turbines and the maintenance cost of wireless sensor network can thus be reduced. Wind energy has long been used to generate

  4. Experimental and Computer Simulation Study of Radioactivity of Materials Irradiated by Intermediate Energy Protons

    E-Print Network [OSTI]

    Yu. E. Titarenko; O. V. Shvedov; V. F. Batyaev; E. I. Karpikhin; V. M. Zhivun; R. D. Mulambetov; S. G. Mashnik; R. E. Prael; W. B. Wilson

    1999-08-23

    The results of measurements and computer simulations of radioactivities and dose rates as functions of decay time are presented for Pb-nat and Bi-209 irradiated by 1.5-GeV protons, Co-59, Cu-63, and Cu-65 irradiated by 0.13- and 1.2-GeV protons, and Th-232 and U-nat irradiated by 0.1- and 0.8-GeV protons. The activities and dose rates are measured by direct high-precision gamma spectrometry. The irradiations were made using external beams extracted from the ITEP U-10 proton synchrotron. Simulations made using the LCS and CINDER'90 code systems are compared with measurements.

  5. Simulations of Kinetic Events at the Atomic Scale | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURINGEnergy BillsNo.Hydrogen4 » SearchwithSimulation and High-Performance

  6. HIGH-TEMPERATURE ELECTROLYSIS FOR LARGE-SCALE HYDROGEN AND SYNGAS PRODUCTION FROM NUCLEAR ENERGY – SYSTEM SIMULATION AND ECONOMICS

    SciTech Connect (OSTI)

    J. E. O'Brien; M. G. McKellar; E. A. Harvego; C. M. Stoots

    2009-05-01

    A research and development program is under way at the Idaho National Laboratory (INL) to assess the technological and scale-up issues associated with the implementation of solid-oxide electrolysis cell technology for efficient high-temperature hydrogen production from steam. This work is supported by the US Department of Energy, Office of Nuclear Energy, under the Nuclear Hydrogen Initiative. This paper will provide an overview of large-scale system modeling results and economic analyses that have been completed to date. System analysis results have been obtained using the commercial code UniSim, augmented with a custom high-temperature electrolyzer module. Economic analysis results were based on the DOE H2A analysis methodology. The process flow diagrams for the system simulations include an advanced nuclear reactor as a source of high-temperature process heat, a power cycle and a coupled steam electrolysis loop. Several reactor types and power cycles have been considered, over a range of reactor outlet temperatures. Pure steam electrolysis for hydrogen production as well as coelectrolysis for syngas production from steam/carbon dioxide mixtures have both been considered. In addition, the feasibility of coupling the high-temperature electrolysis process to biomass and coal-based synthetic fuels production has been considered. These simulations demonstrate that the addition of supplementary nuclear hydrogen to synthetic fuels production from any carbon source minimizes emissions of carbon dioxide during the production process.

  7. Zoomed high-resolution simulations of Multi-coupled Dark Energy: cored galaxy density profiles at high redshift

    E-Print Network [OSTI]

    Garaldi, E; Moscardini, L

    2015-01-01

    We perform for the first time high-resolution zoom-in re-simulations of individual halos in the context of the Multi-coupeld Dark Energy (McDE) scenario, which is characterised by the existence of two distinct dark matter particle species with opposite couplings to a Dark Energy scalar field. We compare the structural properties of the simulated halos to the standard Lambda-CDM results. The zoomed-in initial conditions are set up using a specifically designed code called ZInCo that we publicly release along with the present paper. Our numerical results allow to investigate in detail and with unprecedented resolution the halo segregation process that characterises McDE cosmologies from its very early stages. In particular, we find that in contrast to what could be inferred from previous numerical analysis at lower resolution, the segregation process is already in place at redshifts as high as z ~ 7. Most remarkably, we find that the subsequent evolution of the segregation leads to the formation of cored total ...

  8. Challenge problem and milestones for : Nuclear Energy Advanced Modeling and Simulation (NEAMS) waste Integrated Performance and Safety Codes (IPSC).

    SciTech Connect (OSTI)

    Freeze, Geoffrey A.; Wang, Yifeng; Howard, Robert; McNeish, Jerry A.; Schultz, Peter Andrew; Arguello, Jose Guadalupe, Jr.

    2010-09-01

    This report describes the specification of a challenge problem and associated challenge milestones for the Waste Integrated Performance and Safety Codes (IPSC) supporting the U.S. Department of Energy (DOE) Office of Nuclear Energy Advanced Modeling and Simulation (NEAMS) Campaign. The NEAMS challenge problems are designed to demonstrate proof of concept and progress towards IPSC goals. The goal of the Waste IPSC is to develop an integrated suite of modeling and simulation capabilities to quantitatively assess the long-term performance of waste forms in the engineered and geologic environments of a radioactive waste storage or disposal system. The Waste IPSC will provide this simulation capability (1) for a range of disposal concepts, waste form types, engineered repository designs, and geologic settings, (2) for a range of time scales and distances, (3) with appropriate consideration of the inherent uncertainties, and (4) in accordance with robust verification, validation, and software quality requirements. To demonstrate proof of concept and progress towards these goals and requirements, a Waste IPSC challenge problem is specified that includes coupled thermal-hydrologic-chemical-mechanical (THCM) processes that describe (1) the degradation of a borosilicate glass waste form and the corresponding mobilization of radionuclides (i.e., the processes that produce the radionuclide source term), (2) the associated near-field physical and chemical environment for waste emplacement within a salt formation, and (3) radionuclide transport in the near field (i.e., through the engineered components - waste form, waste package, and backfill - and the immediately adjacent salt). The initial details of a set of challenge milestones that collectively comprise the full challenge problem are also specified.

  9. Simulation Calibration Autotune Calibration

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    Calibration as Search #12;· EnergyPlus is a desktop app · Writes files during a simulation · Use RAMdisk (mm:ss) Data Size EnergyPlus Simulations 16 18:14 5 GB 64 32 18:19 11 GB 128 64 18:34 22 GB 256 128 18 ... #12;· EnergyPlus ­ 2-10 mins for an annual simulation !- ALL OBJECTS IN CLASS Version, 7.0; !- Version

  10. Simulated energy savings of cool roofs applied to industrial premises in the Mediterranean Area

    E-Print Network [OSTI]

    De Carli, Michele; Scarpa, Massimiliano; Schiavon, Stefano; Zecchin, Roberto

    2007-01-01

    2002. Energy savings for heat island reduction strategies in32920. Santamouris, M.. Heat-island effect. In: SantamourisA reduction of the urban heat island effect, caused by the

  11. Simulation-assisted evaluation of potential energy savings: Application to an administrative building in France 

    E-Print Network [OSTI]

    Randaxhe, F.; Bertagnolio, S.; Lemort, V.

    2012-01-01

    The case study presented here falls within a project of feasibility studies to improve the energy efficiency, the carbon footprint and the environmental impacts of several administrative buildings in France. The first part of the paper briefly...

  12. DOE Launches World-Class Virtual Energy Simulation Training and Research Center

    Office of Energy Efficiency and Renewable Energy (EERE)

    A new training center developed to teach personnel how to operate clean integrated gasification combined cycle power plants is now up and running with help from the U.S. Department of Energy.

  13. Dynamic Simulation and Analysis of Factors Impacting the Energy Consumption of Residential Buildings 

    E-Print Network [OSTI]

    Lian, Y.; Hao, Y.

    2006-01-01

    Buildings have a close relationship with climate. There are a lot of important factors that influence building energy consumption such as building shape coefficient, insulation work of building envelope, covered area, and the area ratio of window...

  14. Determination of Retrofit Savings Using a Calibrated Building Energy Simulation Model 

    E-Print Network [OSTI]

    Reddy, S. N.; Hunn, B. D.; Hood, D. B.

    1994-01-01

    for whole-building electric, cooling, and heating energy use, and were compared with savings calculated using a regression model developed under the LoanSTAR program. Finally, to validate the model, postretrofit DOE-2 results were compared with measured...

  15. The Use of Simulation Techniques for Improving Energy Consumption of Industrial Processes 

    E-Print Network [OSTI]

    Gourlia, J. P.; Jamen, R.

    1984-01-01

    the physical meaning of available energy function (or exergy) and we show how graphical representations are helpful for the interpretation for the exergy analysis. The study of a crude oil pipestill allows us to identify the irreversibilities of the process...

  16. Experiment and simulations on the energy reservoir effect in femtosecond light filaments

    E-Print Network [OSTI]

    Becker, Andreas

    different stages of development ranging from the termination of the filament, through its partial survival of the pulse energy located in the background are unde- termined. Knowledge of these parameters would pro- vide

  17. Energy Impacts of Oversized Residential Air Conditioners— Simulation Study of Retrofit Sequence Impacts

    SciTech Connect (OSTI)

    Booten, C.; Christensen, C.; Winkler, J.

    2014-11-01

    This research addresses the question of what are the energy consequences for oversizing of an air conditioner in a home, which can result in significant energy penalties. However, the reason for this was due to crankcase heaters and not due to cycling performance of the AC, and is only valid for a particular set of assumptions. Adding or removing individual characteristics, such as ducts or crankcase heaters, can have measurable impacts on energy use. However, with all other home characteristics held constant, oversizing the AC generally has a small effect on cooling energy use, even if the cycling performance of the unit is poor. The relevant aspects of air conditioner modeling are discussed to illustrate the effects of the cycling loss coefficient, Cd, capacity, climate, ducts and parasitic losses such as crankcase heaters.

  18. Cooling Energy Demand Evaluation by Meansof Regression Models Obtained From Dynamic Simulations 

    E-Print Network [OSTI]

    Catalina, T.; Virgone, J.

    2011-01-01

    The forecast of the energy heating/cooling demand would be a good indicator for the choice between different conception solutions according to the building characteristics and the local climate. A previous study (Catalina T. et al 2008...

  19. A technical framework to describe occupant behavior for building energy simulations

    SciTech Connect (OSTI)

    Turner , William; Hong , Tianzhen

    2013-12-20

    Green buildings that fail to meet expected design performance criteria indicate that technology alone does not guarantee high performance. Human influences are quite often simplified and ignored in the design, construction, and operation of buildings. Energy-conscious human behavior has been demonstrated to be a significant positive factor for improving the indoor environment while reducing the energy use of buildings. In our study we developed a new technical framework to describe energy-related human behavior in buildings. The energy-related behavior includes accounting for individuals and groups of occupants and their interactions with building energy services systems, appliances and facilities. The technical framework consists of four key components: i. the drivers behind energy-related occupant behavior, which are biological, societal, environmental, physical, and economical in nature ii. the needs of the occupants are based on satisfying criteria that are either physical (e.g. thermal, visual and acoustic comfort) or non-physical (e.g. entertainment, privacy, and social reward) iii. the actions that building occupants perform when their needs are not fulfilled iv. the systems with which an occupant can interact to satisfy their needs The technical framework aims to provide a standardized description of a complete set of human energy-related behaviors in the form of an XML schema. For each type of behavior (e.g., occupants opening/closing windows, switching on/off lights etc.) we identify a set of common behaviors based on a literature review, survey data, and our own field study and analysis. Stochastic models are adopted or developed for each type of behavior to enable the evaluation of the impact of human behavior on energy use in buildings, during either the design or operation phase. We will also demonstrate the use of the technical framework in assessing the impact of occupancy behavior on energy saving technologies. The technical framework presented is part of our human behavior research, a 5-year program under the U.S. - China Clean Energy Research Center for Building Energy Efficiency.

  20. Home Energy Score Update: New Simulation Training and Credential Requirements for Assessors

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12,ExecutiveFinancingR Walls - Building AmericaEnergyHome Energy Score

  1. Monte-Carlo Simulation of Exclusive Channels in e+e- Annihilation at Low Energy

    E-Print Network [OSTI]

    D. Anipko; S. Eidelman; A. Pak

    2003-12-25

    Software package for Monte-Carlo simulation of e+e- exclusive annihilation channels written in the C++ language for Linux/Solaris platforms has been developed. It incorporates matrix elements for several mechanisms of multipion production in a model of consequent two and three-body resonance decays. Possible charge states of intermediate and final particles are accounted automatically under the assumption of isospin conservation. Interference effects can be taken into acccount. Package structure allows adding new matrix elements written in a gauge-invariant form.

  2. A generalized force-modified potential energy surface (G-FMPES) for mechanochemical simulations

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

    Subramanian, Gopinath; Mathew, Nithin; Leiding, Jeffery A.

    2015-10-05

    We describe the modifications that a spatially varying external load produces on a Born-Oppenheimer potential energy surface (PES) by calculating static quantities of interest. The effects of the external loads are exemplified using electronic structure calculations (at the HF/6-31G** level) of two different molecules: ethane and hexahydro-1,3,5-trinitro-s-triazine (RDX). The calculated transition states and The Hessian matrices of stationary points show that spatially varying external loads shift the stationary points and modify the curvature of the PES, thereby affecting the harmonic transition rates by altering both the energy barrier as well as the prefactor. The harmonic spectra of both molecules aremore »blue-shifted with increasing compressive “pressure.” Some stationary points on the RDX-PES disappear under application of the external load, indicating the merging of an energy minimum with a saddle point.« less

  3. Simulating three-dimensional nonthermal high-energy photon emission in colliding-wind binaries

    SciTech Connect (OSTI)

    Reitberger, K.; Kissmann, R.; Reimer, A.; Reimer, O.

    2014-07-01

    Massive stars in binary systems have long been regarded as potential sources of high-energy ? rays. The emission is principally thought to arise in the region where the stellar winds collide and accelerate relativistic particles which subsequently emit ? rays. On the basis of a three-dimensional distribution function of high-energy particles in the wind collision region—as obtained by a numerical hydrodynamics and particle transport model—we present the computation of the three-dimensional nonthermal photon emission for a given line of sight. Anisotropic inverse Compton emission is modeled using the target radiation field of both stars. Photons from relativistic bremsstrahlung and neutral pion decay are computed on the basis of local wind plasma densities. We also consider photon-photon opacity effects due to the dense radiation fields of the stars. Results are shown for different stellar separations of a given binary system comprising of a B star and a Wolf-Rayet star. The influence of orbital orientation with respect to the line of sight is also studied by using different orbital viewing angles. For the chosen electron-proton injection ratio of 10{sup –2}, we present the ensuing photon emission in terms of two-dimensional projections maps, spectral energy distributions, and integrated photon flux values in various energy bands. Here, we find a transition from hadron-dominated to lepton-dominated high-energy emission with increasing stellar separations. In addition, we confirm findings from previous analytic modeling that the spectral energy distribution varies significantly with orbital orientation.

  4. Automatic Calibration of a Building Energy Simulation Model Using a Global Optimization Program 

    E-Print Network [OSTI]

    Lee, S. U.; Claridge, D.

    2002-01-01

    , Proceedings of the ACEEE 1988 Summer Study on Energy Efficiency in Buildings, 10, 14-26. Balcomb, J.D., Burch, J.D., Subbarao, K., 1993. Short-term energy monitoring of residences, ASHRAE Transactions, 99 (2): 935-944. Balcomb, J.D., Burch, J.D...-259. Sorooshian, S., Gupta, V.K., 1983. Automatic calibration of conceptual rainfall-runoff models - the question of parameter observability and uniqueness, Water Resources Res., 19 (1): 260- 268. Subbarao, K., Burch, J., Hancock, C.E., Lekov, A., Balcomb, J.D...

  5. Development of 3D Simulation Training and Testing for Home Energy Score

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-in electricLaboratoryof EnergyWASHINGTON, DC -State || Department

  6. A New Determination of the Binding Energy of Atomic Oxygen on Dust Grain Surfaces: Experimental Results and Simulations

    E-Print Network [OSTI]

    He, Jiao; Hopkins, Tyler; Vidali, Gianfranco; Kaufman, Michael J

    2015-01-01

    The energy to desorb atomic oxygen from an interstellar dust grain surface, $E_{\\rm des}$, is an important controlling parameter in gas-grain models; its value impacts the temperature range over which oxygen resides on a dust grain. However, no prior measurement has been done of the desorption energy. We report the first direct measurement of $E_{\\rm des}$ for atomic oxygen from dust grain analogs. The values of $E_{\\rm des}$ are $1660\\pm 60$~K and $1850\\pm 90$~K for porous amorphous water ice and for a bare amorphous silicate film, respectively, or about twice the value previously adopted in simulations of the chemical evolution of a cloud. We use the new values to study oxygen chemistry as a function of depth in a molecular cloud. For $n=10^4$ cm$^{-3}$ and $G_0$=10$^2$ ($G_0$=1 is the average local interstellar radiation field), the main result of the adoption of the higher oxygen binding energy is that H$_2$O can form on grains at lower visual extinction $A_{\\rm V}$, closer to the cloud surface. A higher ...

  7. MODELING AND SIMULATION OF HVAC FAULTS IN ENERGYPLUS

    E-Print Network [OSTI]

    Basarkar, Mangesh

    2013-01-01

    and simulated building energy performance, Norford et al. (faults on whole building performance – energy consumption,and simulated energy performance of buildings is that most

  8. ENERGY FOR SUSTAINABILITY: HIGHLY COMPLIANT FLOATING OFFSHORE WIND TURBINES: FEASIBILITY ASSESSMENT THROUGH THEORY, SIMULATION AND DESIGN

    E-Print Network [OSTI]

    Sweetman, Bert

    revolution that enables economic development of wind farms in very challenging deepwater offshore locationsA-1 ENERGY FOR SUSTAINABILITY: HIGHLY COMPLIANT FLOATING OFFSHORE WIND TURBINES: FEASIBILITY surrounding Europe, and plans are in place for offshore developments in the US. Locating these wind turbines

  9. Filter-fluorescer measurement of low-voltage simulator x-ray energy spectra

    SciTech Connect (OSTI)

    Baldwin, G.T.; Craven, R.E.

    1986-01-01

    X-ray energy spectra of the Maxwell Laboratories MBS and Physics International Pulserad 737 were measured using an eight-channel filter-fluorescer array. The PHOSCAT computer code was used to calculate channel response functions, and the UFO code to unfold spectrum.

  10. Simulating the energy savings potential in domestic heating scenarios in Switzerland

    E-Print Network [OSTI]

    and ventilation, as well as the heat gains due to internal gains, solar gains and the heating system. In Section 5 dependent) is a banana #12;2 cake taken out of the oven and left to cool down in the kitchen. Energy

  11. Non-contacting transfer of elastic energy into explosive simulants for dynamic property estimation

    SciTech Connect (OSTI)

    Greeney, Nathan S.; Strovink, Kurt M.; Scales, John A. [Physics Department, Colorado School of Mines, Golden, Colorado 80401 (United States); Jessop, Andrew M.; Stuart Bolton, J. [Ray W. Herrick Laboratories, Purdue University, West Lafayette, Indiana 47907-2099 (United States); Watson, Christopher C.; Adams, Douglas E. [Purdue Center for Systems Integrity, Purdue University, Lafayette, Indiana 47905 (United States)

    2014-05-21

    Non-contacting acoustical methods can be used to extract various material properties of liquid or solid samples without disturbing the sample. These methods are useful even in the lab since they do not involve coupling anything to the sample, which might change its properties. A forteriori, when dealing with potentially dangerous materials, non-contacting methods may be the only safe solutions to mechanical characterization. Here, we show examples of using laser ultrasound to remotely insonify and monitor the elastic properties of several granular explosive simulants. The relatively short near-infrared laser pulse length (a few hundred nanoseconds) provides a broad-band thermoelastic source of ultrasound; we intentionally stay in the thermoelastic regime to avoid damaging the material. Then, we use a scanning laser Doppler vibrometer to measure the ultrasonic response of the sample. LDV technology is well established and very sensitive at ultrasonic frequencies; atomic level motions can be measured with modest averaging. The resulting impulse response of the explosive simulant can be analyzed to determine decay rates and wave speeds, with stiffer samples showing faster wave speeds and lower decay rates. On the other hand, at the low-frequency end of the acoustic spectrum, we use an electronically phased array to couple into a freely suspended sample's normal modes. This allows us to gently heat up the sample (3?°C in just under 5 min, as shown with a thermal IR camera). In addition to the practical interest in making the sample more chemically visible through heat, these two measurements (low-frequency resonant excitation vs high-frequency wave propagation) bracket the frequency range of acoustic non-destructive evaluation methods available.

  12. Modeling a thermionic energy converter using finite-difference time-domain particle-in-cell simulations

    SciTech Connect (OSTI)

    Lo, F. S.; Lee, T. H.; Lu, P. S.; Ragan-Kelley, B.; Plasma Theory and Simulation Group, University of California, Berkeley, California 94720 ; Minnich, A.; Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California 91125 ; Lin, M. C.; Verboncoeur, J. P.; Department of Electrical and Computing Engineering, Michigan State University, East Lansing, Michigan 48824

    2014-02-15

    A thermionic energy converter (TEC) is a static device that converts heat directly into electricity by boiling electrons off a hot emitter surface across a small inter-electrode gap to a cooler collector surface. The main challenge in TECs is overcoming the space charge limit, which limits the current transmitted across a gap of a given voltage and width. We have verified the feasibility of studying and developing a TEC using a bounded finite-difference time-domain particle-in-cell plasma simulation code, OOPD1, developed by Plasma Theory and Simulation Group, formerly at UC Berkeley and now at Michigan State University. In this preliminary work, a TEC has been modeled kinetically using OOPD1, and the accuracy has been verified by comparing with an analytically solvable case, giving good agreement. With further improvement of the code, one will be able to quickly and cheaply analyze space charge effects, and seek designs that mitigate the space charge effect, allowing TECs to become more efficient and cost-effective.

  13. Energy performance of underfloor air distribution systems

    E-Print Network [OSTI]

    Bauman, Fred; Webster, Tom; Linden, Paul; Buhl, Fred

    2007-01-01

    whole? building energy simulation program EnergyPlus that whole?building energy simulation program, to allow design validated whole?building energy simulation program of its 

  14. WEB Portal for Monte Carlo Simulations in High Energy Physics - HEPWEB

    E-Print Network [OSTI]

    E. I. Alexandrov; V. M. Kotov; V. V. Uzhinsky; P. V. Zrelov

    2012-08-31

    A WEB-portal HepWeb allows users to perform the most popular calculations in high energy physics - calculations of hadron-hadron, hadron-nucleus and nucleus-nucleus interaction cross sections as well as calculations of secondary particles characteristics in the interactions using Monte Carlo event generators. The List of the generators includes Dubna version of the intra-nuclear cascade model (CASCADE), FRITIOF model, ultra-relativistic quantum molecular dynamic model (UrQMD), HIJING model, and AMPT model. Setting up the colliding particles/nucleus properties (collision energy, mass numbers and charges of nuclei, impact parameters of interactions, and number of generated events) is realized by a WEB interface. A query is processed by a server, and results are presented to the user as a WEB-page. Short descriptions of the installed generators, the WEB interface implementation and the server operation are given.

  15. Monte Carlo simulation of baryon and lepton number violating processes at high energies

    E-Print Network [OSTI]

    M. J. Gibbs; A. Ringwald; B. R. Webber; J. T Zadrozny

    1994-06-09

    We report results obtained with the first complete event generator for electroweak baryon and lepton number violating interactions at supercolliders. We find that baryon number violation would be very difficult to establish, but lepton number violation can be seen provided at least a few hundred L violating events are available with good electron or muon identification in the energy range 10 GeV to 1 TeV.

  16. Modeling-Computer Simulations At Coso Geothermal Area (1999) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: Energy ResourcesDec 2005MinnehahaElectricInformation Walker,2010) |

  17. Calculation of the Gibbs Free Energy of Solvation and Dissociation of HCl in Water via Monte Carlo Simulations and Continuum Solvation Models

    SciTech Connect (OSTI)

    McGrath, Matthew; Kuo, I-F W.; Ngouana, Brice F.; Ghogomu, Julius N.; Mundy, Christopher J.; Marenich, Aleksandr; Cramer, Christopher J.; Truhlar, Donald G.; Siepmann, Joern I.

    2013-08-28

    The free energy of solvation and dissociation of hydrogen chloride in water is calculated through a combined molecular simulation quantum chemical approach at four temperatures between T = 300 and 450 K. The free energy is first decomposed into the sum of two components: the Gibbs free energy of transfer of molecular HCl from the vapor to the aqueous liquid phase and the standard-state free energy of acid dissociation of HCl in aqueous solution. The former quantity is calculated using Gibbs ensemble Monte Carlo simulations using either Kohn-Sham density functional theory or a molecular mechanics force field to determine the system’s potential energy. The latter free energy contribution is computed using a continuum solvation model utilizing either experimental reference data or micro-solvated clusters. The predicted combined solvation and dissociation free energies agree very well with available experimental data. CJM was supported by the US Department of Energy,Office of Basic Energy Sciences, Division of Chemical Sciences, Geosciences & Biosciences. Pacific Northwest National Laboratory is operated by Battelle for the US Department of Energy.

  18. Validation of Simulated Thermal Comfort using a Calibrated Building Energy Simulation (BES) model in the context of Building Performance Evaluation & Optimisation 

    E-Print Network [OSTI]

    Coakley, D.; Corry, E. J.; Keane, M. M.

    2013-01-01

    as assessing various performance optimisation measures during the operational stage. Common metrics used to indicate Building Energy Performance include Energy cost, Carbon Dioxide emissions and Indoor Thermal Comfort (Predicted Mean Vote - PMV / Predicted...

  19. Modeling-Computer Simulations At Coso Geothermal Area (1980) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII Jump to: navigation, searchsource History View New PagesEnergyGritto

  20. MAPPING HVAC SYSTEMS FOR SIMULATION IN ENERGYPLUS

    E-Print Network [OSTI]

    Basarkar, Mangesh

    2013-01-01

    of a user interface for the EnergyPlus whole building energyAutomated Simulation with EnergyPlus, in: CIB W078-W102:Antipolis, France. EnergyPlus, 2012. EnergyPlus Energy

  1. Comparison of Moist Static Energy and Budget between the GCM-Simulated Madden–Julian Oscillation and Observations over the Indian Ocean and Western Pacific

    SciTech Connect (OSTI)

    Wu, Xiaoqing; Deng, Liping

    2013-07-01

    The moist static energy (MSE) anomalies and MSE budget associated with the Madden–Julian oscillation (MJO) simulated in the Iowa State University General Circulation Model (ISUGCM) over the Indian and Pacific Oceans are compared with observations. Different phase relationships between MJO 850-hPa zonal wind, precipitation, and surface latent heat flux are simulated over the Indian Ocean and western Pacific, which are greatly influenced by the convection closure, trigger conditions, and convective momentum transport (CMT). The moist static energy builds up from the lower troposphere 15–20 days before the peak of MJO precipitation, and reaches the maximum in the middle troposphere (500–600 hPa) near the peak of MJO precipitation. The gradual lower-tropospheric heating and moistening and the upward transport of moist static energy are important aspects of MJO events, which are documented in observational studies but poorly simulated in most GCMs. The trigger conditions for deep convection, obtained from the year-long cloud resolving model (CRM) simulations, contribute to the striking difference between ISUGCM simulations with the original and modified convection schemes and play the major role in the improved MJO simulation in ISUGCM. Additionally, the budget analysis with the ISUGCM simulations shows the increase in MJO MSE is in phase with the horizontal advection of MSE over the western Pacific, while out of phase with the horizontal advection of MSE over the Indian Ocean. However, the NCEP analysis shows that the tendency of MJO MSE is in phase with the horizontal advection of MSE over both oceans.

  2. Full-f Neoclassical Simulations toward a Predictive Model for H-mode Pedestal Ion Energy, Particle and Momentum Transport

    SciTech Connect (OSTI)

    Battaglia, D. J.; Boedo, J. A.; Burrell, K. H.; Chang, C. S.; Canik, J. M.; deGrassie, J. S.; Gerhardt, S. P.; Grierson, B. A.; Groebner, R. J.; Maingi, Rajesh; Smith, S. P.

    2014-09-01

    Energy and particle transport rates are decoupled in the H-mode edge since the ion thermal transport rate is primarily set by the neoclassical transport of the deuterium ions in the tail of the thermal energy distribution, while the net particle transport rate is set by anomalous transport of the colder bulk ions. Ion orbit loss drives the energy distributions away from Maxwellian, and describes the anisotropy, poloidal asymmetry and local minimum near the separatrix observed in the Ti profile. Non-Maxwellian distributions also drive large intrinsic edge flows, and the interaction of turbulence at the top of the pedestal with the intrinsic edge flow can generate an intrinsic core torque. The primary driver of the radial electric field (Er) in the pedestal and scrapeoff layer (SOL) are kinetic neoclassical effects, such as ion orbit loss of tail ions and parallel electron loss to the divertor. This paper describes the first multi-species kinetic neoclassical transport calculations for ELM-free H-mode pedestal and scrape-off layer on DIII-D using XGC0, a 5D full-f particle-in-cell drift-kinetic solver with self-consistent neutral recycling and sheath potentials. Quantitative agreement between the flux-driven simulation and the experimental electron density, impurity density and orthogonal measurements of impurity temperature and flow profiles is achieved by adding random-walk particle diffusion to the guiding-center drift motion. This interpretative technique quantifies the role of neoclassical, anomalous and neutral transport to the overall pedestal structure, and consequently illustrates the importance of including kinetic effects self-consistently in transport calculations around transport barriers.

  3. DEWEK Wind Energy Conference 2012 Category: 4. Simulation models BACKWARD EXTRAPOLATION OF SHORT-TIME MEASUREMENT DATA FOR A REMAINING SERVICE LIFE ESTIMATION OF WIND

    E-Print Network [OSTI]

    Berlin,Technische Universität

    DEWEK Wind Energy Conference 2012 Category: 4. Simulation models 1 BACKWARD EXTRAPOLATION OF SHORT-TIME MEASUREMENT DATA FOR A REMAINING SERVICE LIFE ESTIMATION OF WIND TURBINES Dipl.-Ing. René Kamieth, Prof. Dr, Germany, Tel.: +49-(0)30-314-23603, Fax: +49-(0)30-314-26131 Summary Wind turbines built in the last

  4. A scheme for fast exploratory simulation of azimuthal asymmetries in Drell-Yan experiments at intermediate energies. The DY_AB Monte Carlo event generator

    E-Print Network [OSTI]

    Andrea Bianconi

    2008-06-05

    In this note I report and discuss the physical scheme and the main approximations used by the event generator code DY\\_AB. This Monte Carlo code is aimed at preliminary simulation, during the stage of apparatus planning, of Drell-Yan events characterized by azimuthal asymmetries, in experiments with moderate center of mass energy $\\sqrt{s}$ $<<$ 100 GeV.

  5. High-accuracy numerical simulation of black-hole binaries: Computation of the gravitational-wave energy flux and comparisons with post-Newtonian approximants

    E-Print Network [OSTI]

    Michael Boyle; Alessandra Buonanno; Lawrence E. Kidder; Abdul H. Mroué; Yi Pan; Harald P. Pfeiffer; Mark A. Scheel

    2008-10-06

    Expressions for the gravitational wave (GW) energy flux and center-of-mass energy of a compact binary are integral building blocks of post-Newtonian (PN) waveforms. In this paper, we compute the GW energy flux and GW frequency derivative from a highly accurate numerical simulation of an equal-mass, non-spinning black hole binary. We also estimate the (derivative of the) center-of-mass energy from the simulation by assuming energy balance. We compare these quantities with the predictions of various PN approximants (adiabatic Taylor and Pade models; non-adiabatic effective-one-body (EOB) models). We find that Pade summation of the energy flux does not accelerate the convergence of the flux series; nevertheless, the Pade flux is markedly closer to the numerical result for the whole range of the simulation (about 30 GW cycles). Taylor and Pade models overestimate the increase in flux and frequency derivative close to merger, whereas EOB models reproduce more faithfully the shape of and are closer to the numerical flux, frequency derivative and derivative of energy. We also compare the GW phase of the numerical simulation with Pade and EOB models. Matching numerical and untuned 3.5 PN order waveforms, we find that the phase difference accumulated until $M \\omega = 0.1$ is -0.12 radians for Pade approximants, and 0.50 (0.45) radians for an EOB approximant with Keplerian (non-Keplerian) flux. We fit free parameters within the EOB models to minimize the phase difference, and confirm degeneracies among these parameters. By tuning pseudo 4PN order coefficients in the radial potential or in the flux, or, if present, the location of the pole in the flux, we find that the accumulated phase difference can be reduced - if desired - to much less than the estimated numerical phase error (0.02 radians).

  6. Porous media compressed air energy storage (PM-CAES): Theory and simulation of the coupled wellbore-reservoir system

    E-Print Network [OSTI]

    Oldenburg, C.M.

    2014-01-01

    compressed air energy storage (CAES), Energy, 32, 120-127.compressed air energy storage (CAES) in lined rock cavernsflow within aquifer reservoirs of CAES plants, Trans. Porous

  7. An indoorâ??outdoor building energy simulator to study urban modification effects on building energy use â?? Model description and validation

    E-Print Network [OSTI]

    Yaghoobian, Neda; Kleissl, Jan

    2012-01-01

    T.   Williamson, Urban surface energy balance models: model of the international urban energy balance model comparison, threedimensional urban energy balance model for studying 

  8. An indoorâ??outdoor building energy simulator to study urban modification effects on building energy use â?? Model description and validation

    E-Print Network [OSTI]

    Yaghoobian, Neda; Kleissl, Jan

    2012-01-01

    T.   Williamson, Urban surface energy balance models: model of the international urban energy balance model comparison, The International Urban Energy Balance Models  Comparison 

  9. Effects of fast atoms and energy-dependent secondary electron emission yields in PIC/MCC simulations of capacitively coupled plasmas

    E-Print Network [OSTI]

    Derzsi, A; Schuengel, E; Donko, Z; Schulze, J

    2014-01-01

    In most PIC/MCC simulations of radio frequency capacitively coupled plasmas (CCPs) several simplifications are made: (i) fast neutrals are not traced, (ii) heavy particle induced excitation and ionization are neglected, (iii) secondary electron emission from boundary surfaces due to neutral particle impact is not taken into account, and (iv) the secondary electron emission coefficient is assumed to be constant, i.e. independent of the incident particle energy and the surface conditions. Here we question the validity of these simplifications under conditions typical for plasma processing applications. We study the effects of including fast neutrals and using realistic energy-dependent secondary electron emission coefficients for ions and fast neutrals in simulations of CCPs operated in argon at 13.56 MHz and at neutral gas pressures between 3 Pa and 100 Pa. We find a strong increase of the plasma density and the ion flux to the electrodes under most conditions, if these processes are included realistically in ...

  10. Dynamical simulation of heavy-ion collisions in the energy range from a few tens MeV/A to a few hundreds MeV/A

    E-Print Network [OSTI]

    M. V. Garzelli

    2008-10-13

    The overlapping stage of heavy-ion reactions can be simulated by dynamical microscopical models, such as those built on the basis of the Molecular Dynamics (MD) approaches, allowing to study the fragment formation process. The present performances of the Quantum MD (QMD) code developed at the University of Milano are discussed, showing results concerning fragment and particle production at bombarding energies up to $\\lsim$ 700 MeV/A, as well as a preliminary analysis on the isoscaling behaviour of isotopic yield ratios for reactions with isospin composition N/Z in the (1 - 1.2) range, at a 45 MeV/A bombarding energy.

  11. Simulations for experimental study of warm dense matter and inertial fusion energy applications on NDCX-II

    E-Print Network [OSTI]

    Logan, B.G.

    2010-01-01

    MATTER AND INERTIAL FUSION ENERGY APPLICATIONS ON NDCX-II Byof Science, Office of Fusion Energy Sciences, of the U.S.matter and inertial fusion energy applications on NDCX-II J.

  12. Underfloor vs. overhead: a comparative analysis of air distribution systems using the EnergyPlus simulation software

    E-Print Network [OSTI]

    Daly, A.

    2006-01-01

    August 1, 2006). DOE. 2004. EnergyPlus Manual. Documentationvariable AirFlowType[]. EnergyPlus macro variables, as usedthe Excel interface and the EnergyPlus input file. In Excel,

  13. Power Plant Modeling and Simulation

    ScienceCinema (OSTI)

    None

    2010-01-08

    The National Energy Technology Laboratory's Office of Research and Development provides open source tools and expetise for modeling and simulating power plants and carbon sequestration technologies.

  14. Power Plant Modeling and Simulation

    SciTech Connect (OSTI)

    2008-07-21

    The National Energy Technology Laboratory's Office of Research and Development provides open source tools and expetise for modeling and simulating power plants and carbon sequestration technologies.

  15. ACEEE Summer Study on Energy in Industry, West Point, NY, July 19-22. 1 Modeling and Simulation of Air Compressor Energy Use

    E-Print Network [OSTI]

    Kissock, Kelly

    of Air Compressor Energy Use Chris Schmidt, Energy & Resource Solutions, Inc. Kelly Kissock, Department compressor energy use to estimate energy savings in compressed air systems from air use reduction and other of this method to estimate energy savings from changing control modes and reducing air use is described

  16. An indoorâ??outdoor building energy simulator to study urban modification effects on building energy use â?? Model description and validation

    E-Print Network [OSTI]

    Yaghoobian, Neda; Kleissl, Jan

    2012-01-01

    An experimental study, Energy and Buildings 43 (2011) 573?and  nthropogenic heat, Energy and  Buildings 25 (1997) 99?in  an  urban context, Energy and Buildings 43 (2011) 1549?

  17. Final spin and radiated energy in numerical simulations of binary black holes with equal masses and equal, aligned or anti-aligned spins

    E-Print Network [OSTI]

    Daniel A. Hemberger; Geoffrey Lovelace; Thomas J. Loredo; Lawrence E. Kidder; Mark A. Scheel; Béla Szilágyi; Nicholas W. Taylor; Saul A. Teukolsky

    2013-09-23

    The behavior of merging black holes (including the emitted gravitational waves and the properties of the remnant) can currently be computed only by numerical simulations. This paper introduces ten numerical relativity simulations of binary black holes with equal masses and equal spins aligned or anti-aligned with the orbital angular momentum. The initial spin magnitudes have $|\\chi_i| \\lesssim 0.95$ and are more concentrated in the aligned direction because of the greater astrophysical interest of this case. We combine this data with five previously reported simulations of the same configuration, but with different spin magnitudes, including the highest spin simulated to date, $\\chi_i \\approx 0.97$. This data set is sufficiently accurate to enable us to offer improved analytic fitting formulae for the final spin and for the energy radiated by gravitational waves as a function of initial spin. The improved fitting formulae can help to improve our understanding of the properties of binary black hole merger remnants and can be used to enhance future approximate waveforms for gravitational wave searches, such as Effective-One-Body waveforms.

  18. Simulations Data Simulation Type

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    , are unreliable because they have to constantly be calibrated to match actual energy usage data. Currently their Facebook accounts. This was utilized using a Drupal for Facebook module that integrates Facebook user

  19. Influence of the nonlinearity parameter on the solar-wind sub-ion magnetic energy spectrum: FLR-Landau fluid simulations

    E-Print Network [OSTI]

    Sulem, P L; Laveder, D; Borgogno, D

    2015-01-01

    The cascade of kinetic Alfv\\'en waves (KAWs) at the sub-ion scales in the solar wind is numerically simulated using a fluid approach that retains ion and electron Landau damping, together with ion finite Larmor radius corrections. Assuming initially equal and isotropic ion and electron temperatures, and an ion beta equal to unity, different simulations are performed by varying the propagation direction and the amplitude of KAWs that are randomly driven at a transverse scale of about one fifth of the proton gyroradius in order to maintain a prescribed level of turbulent fluctuations. The resulting turbulent regimes are characterized by the nonlinearity parameter, defined as the ratio of the characteristic times of Alfv\\'en wave propagation and of the transverse nonlinear dynamics. The corresponding transverse magnetic energy spectra display power laws with exponents spanning a range of values consistent with spacecraft observations. The meandering of the magnetic field lines together with the ion temperature h...

  20. Simulating the Sunyaev-Zel'dovich effect(s): including radiative cooling and energy injection by galactic winds

    E-Print Network [OSTI]

    Martin White; Lars Hernquist; Volker Springel

    2002-07-08

    We present results on the thermal and kinetic Sunyaev-Zel'dovich (SZ) effects from a sequence of high resolution hydrodynamic simulations of structure formation, including cooling, feedback and metal injection. These simulations represent a self-consistent thermal model which incorporates ideas from the `pre-heating' scenario while preserving good agreement with the low density IGM at z~3 probed by the Ly-a forest. Four simulations were performed, at two different resolutions with and without radiative effects and star formation. The long-wavelength modes in each simulation were the same, so that we can compare the results on an object by object basis. We demonstrate that our simulations are converged to the sub-arcminute level. The effect of the additional physics is to suppress the mean Comptonization parameter by 20% and to suppress the angular power spectrum of fluctuations by just under a factor of two in this model while leaving the source counts and properties relatively unchanged. We quantify how non-Gaussianity in the SZ maps increases the sample variance over the standard result for Gaussian fluctuations. We identify a large scatter in the Y-M relation which will be important in searches for clusters using the SZ effect(s).

  1. Environmental impact assessment and process simulation of the tidal current energy resource in the Strait of Messina 

    E-Print Network [OSTI]

    El-Geziry, Tarek Mohamed Ahmed

    2010-01-01

    Interest in exploring renewable energy resources has increased globally, especially with recent worldwide intentions to maintain the global climate. Looking at the oceans as a vast sustainable clean energy resource to ...

  2. Sandia Energy - Sandia, NREL Release Wave Energy Converter Modeling...

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

    Release Wave Energy Converter Modeling and Simulation Code: WEC-Sim Home Renewable Energy Energy Water Power Partnership News News & Events Computational Modeling & Simulation...

  3. Simulated Building Energy Performance of Single Family Detached Residences Designed for Off-Grid, Off-Pipe Operation 

    E-Print Network [OSTI]

    Malhotra, M.; Haberl, J.

    2010-01-01

    energy resources and high energy use, which would be aimed for selecting energy-efficiency measures. Peak days hourly energy use plots include outdoor dry-bulb temperature, global horizontal solar radiation, room air temperature, and attic air.... Figure 1 shows climate characteristics of the three locations, including: TMY2 monthly statistics for heating degree-days, cooling degree-days, dry-bulb temperature, diurnal temperature range, dew- point temperature, global horizontal solar radiation...

  4. Chevron: Refinery Identifies $4.4 Million in Annual Savings by Using Process Simulation Models to Perform Energy-Efficiency Assessment

    SciTech Connect (OSTI)

    2004-05-01

    In an energy-efficiency study at its refinery near Salt Lake City, Utah, Chevron focused on light hydrocarbons processing. The company found it could recover hydrocarbons from its fuel gas system and sell them. By using process simulation models of special distillation columns and associated reboilers and condensers, Chevron could predict the performance of potential equipment configuration changes and process modifications. More than 25,000 MMBtu in natural gas could be saved annually if a debutanizer upgrade project and a new saturated gas plant project were completed. Together, these projects would save $4.4 million annually.

  5. Sputtering of lunar regolith simulant by protons and singly and multicharged Ar ions at solar wind energies

    E-Print Network [OSTI]

    Sputtering of lunar regolith simulant by protons and singly and multicharged Ar ions at solar wind 2010 Keywords: Solar wind Sputtering Lunar regolith Ion-surface interactions a b s t r a c t We report charged solar wind ions using quadrupole and time-of-flight (TOF) mass spectrometry approaches. Sputtering

  6. Validating density-functional theory simulations at high energy-density conditions with liquid krypton shock experiments to 850 GPa on Sandia's Z machine

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

    Mattsson, Thomas R.; Root, Seth; Mattsson, Ann E.; Shulenburger, Luke; Magyar, Rudolph J.; Flicker, Dawn G.

    2014-11-11

    We use Sandia's Z machine and magnetically accelerated flyer plates to shock compress liquid krypton to 850 GPa and compare with results from density-functional theory (DFT) based simulations using the AM05 functional. We also employ quantum Monte Carlo calculations to motivate the choice of AM05. We conclude that the DFT results are sensitive to the quality of the pseudopotential in terms of scattering properties at high energy/temperature. A new Kr projector augmented wave potential was constructed with improved scattering properties which resulted in excellent agreement with the experimental results to 850 GPa and temperatures above 10 eV (110 kK). Inmore »conclusion, we present comparisons of our data from the Z experiments and DFT calculations to current equation of state models of krypton to determine the best model for high energy-density applications.« less

  7. Simulations of Microchannel Plate Sensitivity to <20 keV X-rays as a Function of Energy and Incident Angle

    SciTech Connect (OSTI)

    Kruschwitz, Craig; Wu, M.; Rochau, G. A.

    2013-06-13

    We present results of Monte Carlo simulations of microchannel plate (MCP) response to x-rays in the 250 eV to 20 keV energy range as a function of both x-ray energy and impact angle. The model is based on the model presented in Rochau et al. (2006). However, while the Rochau et al. (2006) model was two-dimensional, and their results only went to 5 keV, our results have been expanded to 20 keV, and our model has been incorporated into a three-dimensional Monte Carlo MCP model that we have developed over the past several years (Kruschwitz et al. 2011). X-ray penetration through multiple MCP pore walls is increasingly important above 5 keV. The effect of x-ray penetration through multiple pores on MCP performance was studied and is presented.

  8. Validating density-functional theory simulations at high energy-density conditions with liquid krypton shock experiments to 850 GPa on Sandia's Z machine

    SciTech Connect (OSTI)

    Mattsson, Thomas R.; Root, Seth; Mattsson, Ann E.; Shulenburger, Luke; Magyar, Rudolph J.; Flicker, Dawn G.

    2014-11-11

    We use Sandia's Z machine and magnetically accelerated flyer plates to shock compress liquid krypton to 850 GPa and compare with results from density-functional theory (DFT) based simulations using the AM05 functional. We also employ quantum Monte Carlo calculations to motivate the choice of AM05. We conclude that the DFT results are sensitive to the quality of the pseudopotential in terms of scattering properties at high energy/temperature. A new Kr projector augmented wave potential was constructed with improved scattering properties which resulted in excellent agreement with the experimental results to 850 GPa and temperatures above 10 eV (110 kK). In conclusion, we present comparisons of our data from the Z experiments and DFT calculations to current equation of state models of krypton to determine the best model for high energy-density applications.

  9. Experimental and Simulation Study on the Performance of Daylighting in an Industrial Building and its Energy Saving Potential

    E-Print Network [OSTI]

    Chen, Qingyan "Yan"

    electricity consumption in Hong Kong [3]. For industrial buildings, the percentage varies widely depending-34% of the total building electricity consumption in Dongguan, China [4]. To reduce the energy consumption reduce building energy consumption effectively. Studies on this topic have been mostly conducted

  10. I. Computer simulation of a trochoidal monochromator, energy dependance spectra of N2 and hot filament negativ ion mass

    E-Print Network [OSTI]

    Steiner, Daniel

    filament ­ negativ ion mass spectra of a series of halogenated compounds II. Excited-state proton transfer monochromator, electron energy loss, low energy collisions, hot filament - negative ion mass spectra, photoacid the contact of halogenated compounds with a hot filament, have been made. Photoacids, molecules showing

  11. A framework for simulation-based real-time whole building performance assessment

    E-Print Network [OSTI]

    Pang, Xiufeng

    2013-01-01

    DB. Simulation of Energy Management Systems in EnergyPlus.the same way as Energy Management System (EMS) actuators andin Building Energy Management Systems. Energy and Building

  12. Developing and upgrading of solar system thermal energy storage simulation models. Technical progress report, March 1, 1979-February 29, 1980

    SciTech Connect (OSTI)

    Kuhn, J K; von Fuchs, G F; Zob, A P

    1980-05-01

    Two water tank component simulation models have been selected and upgraded. These models are called the CSU Model and the Extended SOLSYS Model. The models have been standardized and links have been provided for operation in the TRNSYS simulation program. The models are described in analytical terms as well as in computer code. Specific water tank tests were performed for the purpose of model validation. Agreement between model data and test data is excellent. A description of the limitations has also been included. Streamlining results and criteria for the reduction of computer time have also been shown for both water tank computer models. Computer codes for the models and instructions for operating these models in TRNSYS have also been included, making the models readily available for DOE and industry use. Rock bed component simulation models have been reviewed and a model selected and upgraded. This model is a logical extension of the Mumma-Marvin model. Specific rock bed tests have been performed for the purpose of validation. Data have been reviewed for consistency. Details of the test results concerned with rock characteristics and pressure drop through the bed have been explored and are reported.

  13. Data, exergy, and energy analysis of a vertical-bore, ground-source heat pump to for domestic water heating under simulated occupancy conditions

    SciTech Connect (OSTI)

    Ally, Moonis Raza; Munk, Jeffrey D; Baxter, Van D; Gehl, Anthony C

    2015-01-01

    Evidence is provided to support the view that greater than two-thirds of energy required to produce domestic hot water may be extracted from the ground which serves as renewable energy resource. The case refers to a 345 m2 research house located in Oak Ridge, Tennessee, 36.01 N 84.26 W in a mixed-humid climate with HDD of 2218 C-days (3993 F-days) and CDD of 723 C-days (1301 F-days). The house is operated under simulated occupancy conditions in which the hot water use protocol is based on the Building America Research Benchmark Definition (Hendron 2008; Hendron and Engebrecht 2010) which captures the water consumption lifestyles of the average family in the United States. The 5.275 (1.5-ton) water-to-water ground source heat pump (WW-GSHP) shared the same vertical bore with a 7.56 KW water-to-air ground source heat pump for space conditioning the same house. Energy and exergy analysis of data collected continuously over a twelve month period provide performance metrics and sources of inherent systemic inefficiencies. Data and analyses are vital to better understand how WW-GSHPs may be further improved to enable the ground to be used as a renewable energy resource.

  14. The `Multifractal Model' of Turbulence and {\\em A Priori} Estimates in Large-Eddy Simulation, I. Subgrid Flux and Locality of Energy Transfer

    E-Print Network [OSTI]

    Gregory L. Eyink

    1996-02-19

    We establish and discuss {\\em a priori} estimates on subgrid stress and subgrid flux for filtering schemes used in the turbulence modelling method of Large-Eddy Simulation (LES). Our estimates are derived as rigorous consequences of the exact subgrid stress formulae from Navier-Stokes equations under realistic conditions for inertial-range velocity fields, those conjectured in the Parisi-Frisch ``multifractal model.'' The estimates are shown to be an expression of ``local energy cascade,'' i.e. the dominance of local wavevector triads in the energy transfer. We prove that for nearly any reasonable filter function the LES method defines an energy flux in which local triads dominate in individual realizations, due to cancellation of distant triadic contributions by detailed conservation. A somewhat similar observation of Leslie and Quarini on graded filters in the EDQNM closure is shown to be unrelated to the cancellation we establish in Navier-Stokes solutions. The sharp Fourier cutoff filter is one example which does not satisfy the modest conditions of our proof and, in fact, we show that with that filter the energy transfer in individual realizations at arbitrarily high Reynolds number will be dominated by nonlocal, convective sweeping.

  15. Porous media compressed air energy storage (PM-CAES): Theory and simulation of the coupled wellbore-reservoir system

    E-Print Network [OSTI]

    Oldenburg, C.M.

    2014-01-01

    and R. Scharf, 2001. Huntorf CAES: More than 20 years ofcaverns: A case study of the Huntorf plant, Applied Energy,2001). This plant, the Huntorf CAES plant in Germany, which

  16. OESYS : a simulation tool for non-conventional energy applications analysis : theoretical and operational description with user documentation

    E-Print Network [OSTI]

    Dinwoodie, Thomas L.

    1980-01-01

    A method is developed for assessing both the operational and economic performance of variable mixes of energy conversion technologies within their specific service environments. This method is incorporated into OESYS ...

  17. Building Energy Simulation Test for Existing Homes (BESTEST-EX); Phase 1 Test Procedure: Building Thermal Fabric Cases

    SciTech Connect (OSTI)

    Judkoff, R.; Polly, B.; Bianchi, M.; Neymark, J.

    2010-08-01

    The U.S. Department of Energy tasked NREL to develop a process for testing the reliability of models that predict retrofit energy savings, including their associated calibration methods. DOE asked NREL to conduct the work in phases so that a test procedure would be ready should DOE need it to meet legislative requirements related to residential retrofits in FY 2010. This report documents the initial 'Phase 1' test procedure.

  18. Energy and cost analysis of a solar-hydrogen combined heat and power system for remote power supply using a computer simulation

    SciTech Connect (OSTI)

    Shabani, Bahman; Andrews, John; Watkins, Simon

    2010-01-15

    A simulation program, based on Visual Pascal, for sizing and techno-economic analysis of the performance of solar-hydrogen combined heat and power systems for remote applications is described. The accuracy of the submodels is checked by comparing the real performances of the system's components obtained from experimental measurements with model outputs. The use of the heat generated by the PEM fuel cell, and any unused excess hydrogen, is investigated for hot water production or space heating while the solar-hydrogen system is supplying electricity. A 5 kWh daily demand profile and the solar radiation profile of Melbourne have been used in a case study to investigate the typical techno-economic characteristics of the system to supply a remote household. The simulation shows that by harnessing both thermal load and excess hydrogen it is possible to increase the average yearly energy efficiency of the fuel cell in the solar-hydrogen system from just below 40% up to about 80% in both heat and power generation (based on the high heating value of hydrogen). The fuel cell in the system is conventionally sized to meet the peak of the demand profile. However, an economic optimisation analysis illustrates that installing a larger fuel cell could lead to up to a 15% reduction in the unit cost of the electricity to an average of just below 90 c/kWh over the assessment period of 30 years. Further, for an economically optimal size of the fuel cell, nearly a half the yearly energy demand for hot water of the remote household could be supplied by heat recovery from the fuel cell and utilising unused hydrogen in the exit stream. Such a system could then complement a conventional solar water heating system by providing the boosting energy (usually in the order of 40% of the total) normally obtained from gas or electricity. (author)

  19. International symposium on fuel rod simulators: development and application

    SciTech Connect (OSTI)

    McCulloch, R.W.

    1981-05-01

    Separate abstracts are included for each of the papers presented concerning fuel rod simulator operation and performance; simulator design and evaluation; clad heated fuel rod simulators and fuel rod simulators for cladding investigations; fuel rod simulator components and inspection; and simulator analytical modeling. Ten papers have previously been input to the Energy Data Base.

  20. Dissipation, Energy Transfer, and Spindown Luminosity in 2.5D PIC Simulations of the Pulsar Magnetosphere

    E-Print Network [OSTI]

    Belyaev, Mikhail Alexander

    2014-01-01

    We perform 2.5D axisymmetric simulations of the pulsar magnetosphere (aligned dipole rotator) using the charge conservative, relativistic, electromagnetic particle in cell code PICsar. The simulations are in the force-free regime except for dissipative regions at the polar caps, in the current layers, and at the Y-point. These dissipative regions arise self-consistently, since we do not have any explicit dissipation in the code. A minimum of $ \\approx 20\\%$ of the electromagnetic spindown luminosity is transferred to the particles in the dissipative regions, predominantly in the vicinity of the Y-point. The value of the spindown luminosity is in rough agreement with the force-free value, but can differ by tens of percent even when the characteristic magnetization at the light cylinder is high ($\\sigma \\sim 10^3-10^4$). This is because the magnetization in the vicinity of the Y-point is orders of magnitude lower than the characteristic magnetization at the light cylinder. As a result, particle inertia is impor...