Sample records for openstudio energy simulation

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

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

    OpenStudio 1.7.0 OpenStudio is DOE's open-source software development kit for whole-building energy modeling using EnergyPlus and daylight analysis using Radiance. DOE...

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

    SciTech Connect (OSTI)

    Not Available

    2014-07-01T23:59:59.000Z

    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 | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil andOpenEITODO Jump to: navigation,

  4. Rapid Application Development with OpenStudio: Preprint

    SciTech Connect (OSTI)

    Weaver, E.; Long, N.; Fleming, K.; Schott, M.; Benne, K.; Hale, E.

    2012-05-01T23:59:59.000Z

    This paper presents several case studies of rapidly implemented, audience-specific applications for whole building energy modeling and standards analysis. By tailoring each application to the audience and the task at hand, the required learning curve for new users was greatly reduced. Each case study used OpenStudio, the U.S. Department of Energy's middleware software development kit (SDK). OpenStudio provides an easy interface to the EnergyPlus whole building simulation engine, while extending its capability and providing higher-level functionality such as software interoperability, standards, analysis, and optimization. Each case study is unique in the technology employed to interface with OpenStudio as well as the methods used for user interaction and data presentation. Four case studies are presented.

  5. OpenStudio: An Open Source Integrated Analysis Platform; Preprint

    SciTech Connect (OSTI)

    Guglielmetti, R.; Macumber, D.; Long, N.

    2011-12-01T23:59:59.000Z

    High-performance buildings require an integrated design approach for all systems to work together optimally; systems integration needs to be incorporated in the earliest stages of design for efforts to be cost and energy-use effective. Building designers need a full-featured software framework to support rigorous, multidisciplinary building simulation. An open source framework - the OpenStudio Software Development Kit (SDK) - is being developed to address this need. In this paper, we discuss the needs that drive OpenStudio's system architecture and goals, provide a development status report (the SDK is currently in alpha release), and present a brief case study that illustrates its utility and flexibility.

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

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

    aims to boost retrofit projects and enable project teams to easily integrate energy, daylight, and airflow modeling into their design workflows. View the Presentation OpenStudio...

  7. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympia GreenThe community Energy Tools

  8. 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.

    2014-03-01T23:59:59.000Z

    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.

  9. OpenStudio - 2013 Peer Review | 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 onYouTube YouTube Note: Since the.pdfBreaking ofOilNEWResponse toOctober 2014Funds for CleanAbout Energy.govOpenEI- 2013

  10. 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.

  11. Building Technologies Office: EnergyPlus Energy Simulation Software

    Energy Savers [EERE]

    tools to support whole building energy modeling using EnergyPlus and advanced daylight analysis using Radiance. OpenStudio is an open source project to facilitate community...

  12. 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 DataDepartment of Energy Your Density Isn'tOrigin of Contamination in ManyDepartment ofOil's Impact onDepartment ofStorageOpenMortar.io:

  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 DataDepartment of Energy Your Density Isn'tOrigin of Contamination in ManyDepartment ofOil's Impact onDepartment

  14. OpenStudio Core Development and Deployment Support - 2014 BTO...

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

    The OpenStudio software development kit (SDK) also enables national laboratory and university researchers, along with private-sector tool developers, to effectively create...

  15. 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 DataDepartment of Energy Your Density Isn'tOrigin of Contamination in ManyDepartment ofOil's Impact onDepartmentDepartment of Energy

  16. 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...

  17. Scripted Building Energy Modeling and Analysis (Presentation)

    SciTech Connect (OSTI)

    Macumber, D.

    2012-10-01T23:59:59.000Z

    Building energy analysis is often time-intensive, error-prone, and non-reproducible. Entire energy analyses can be scripted end-to-end using the OpenStudio Ruby API. Common tasks within an analysis can be automated using OpenStudio Measures. Graphical user interfaces (GUI's) and component libraries reduce time, decrease errors, and improve repeatability in energy modeling.

  18. OpenStudio | Department of Energy

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

    CO -- Argonne National Lab (ANL) - Argonne, IL -- Lawrence Berkeley National Lab (LBNL) - Berkeley, CA -- Oak Ridge National Lab (ORNL) - Oak Ridge, TN -- Pacific Northwest...

  19. Scripted Building Energy Modeling and Analysis: Preprint

    SciTech Connect (OSTI)

    Hale, E.; Macumber, D.; Benne, K.; Goldwasser, D.

    2012-08-01T23:59:59.000Z

    Building energy modeling and analysis is currently a time-intensive, error-prone, and nonreproducible process. This paper describes the scripting platform of the OpenStudio tool suite (http://openstudio.nrel.gov) and demonstrates its use in several contexts. Two classes of scripts are described and demonstrated: measures and free-form scripts. Measures are small, single-purpose scripts that conform to a predefined interface. Because measures are fairly simple, they can be written or modified by inexperienced programmers.

  20. 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...

  1. CBEI - Enhancing OpenStudio for Airflow and Daylight Modeling

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: Theof Energy FutureDepartmentCAIRS Registration Formof EnergyDepartment

  2. Software interoperability for energy simulation

    E-Print Network [OSTI]

    Hitchcock, Robert J.

    2002-01-01T23:59:59.000Z

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

  3. Flexible Framework for Building Energy Analysis: Preprint

    SciTech Connect (OSTI)

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

    2012-09-01T23:59:59.000Z

    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.

  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

    2013-09-01T23:59:59.000Z

    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. 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 onYouTube YouTube Note: Since the YouTube|6721 Federal RegisterHydrogen and FuelDefense as PartFrameworkDepartment of

  6. 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 onYouTube YouTube Note: Since the.pdfBreaking ofOilNEWResponse toOctober 2014Funds for CleanAbout

  7. 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...

  8. More Issues of Building Energy Simulation 

    E-Print Network [OSTI]

    Kang, Z.; Zhao, J.

    2006-01-01T23:59:59.000Z

    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...

  9. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJune 2,The BigSidingState6 (2-91)A2015 Peer Review | Department

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of Contamination in ManyDepartment ofOil's Impact onDepartmentDepartment of Energy

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

    E-Print Network [OSTI]

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

    2001-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bazjanac, Vladimir

    2001-01-01T23:59:59.000Z

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

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOilNEWResponse toOctober 2014Funds for CleanAbout Energy.govOpenEI-

  14. Low Energy Quantum System Simulation

    E-Print Network [OSTI]

    Peter Cho; Karl Berggren

    2003-10-26T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    O'Donnell, James

    2013-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Pang, Xiufeng

    2013-01-01T23:59:59.000Z

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

  17. Sandia National Laboratories: Offshore Wind Energy Simulation...

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

    Offshore Wind Energy Simulation Toolkit Sandia Vertical-Axis Wind-Turbine Research Presented at Science of Making Torque from Wind Conference On July 8, 2014, in Computational...

  18. Molecular dynamics simulation of threshold displacement energies...

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

    experimental estimates in ceramics. Citation: Moreira PA, R Devanathan, J Yu, and WJ Weber.2009."Molecular dynamics simulation of threshold displacement energies in...

  19. Uncalibrated Building Energy Simulation Modeling Results 

    E-Print Network [OSTI]

    Ahmad, M.; Culp, C.H.

    2006-01-01T23:59:59.000Z

    VOLUME 12, NUMBER 4 HVAC&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... the uncalibrated simulations were completed. The dis- crepancies between the simulated and measured total yearly building energy use varied over ±30% with one outlier. The results show that discrepancies ranged over ±90% between the sim- ulations and the measured...

  20. Energy Simulation for Buildings: Development and Training

    E-Print Network [OSTI]

    .5: Energy Efficiency April 2013 HAWAI`I NATURAL ENERGY INSTITUTE School of Ocean & Earth Science`i Natural Energy Institute School of Ocean and Earth Science and Technology University of Hawai`i April 2013Energy Simulation for Buildings: Development and Training This report presents an architectural

  1. Activation Energies from Transition Path Sampling Simulations

    E-Print Network [OSTI]

    Dellago, Christoph

    unavailable for processes occurring in complex systems. Since in this method activation energies diatomic immersed in a bath of repulsive soft particles. Keywords: Activation energy; Computer simulation on the transition path sampling methodology, our approach to determine activation energies does not require full

  2. 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

  3. 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...

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

    Energy Savers [EERE]

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

  5. 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

  6. Predictive Simulation | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah ProjectPRE-AWARD ACCOUNTING SYSTEMMeso-Scale duringPredictive

  7. Computer simulation | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:PowerCER.png ElColumbia,2005) | Open(Thompson,2006)air Jump

  8. Energy Choice Simulator | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision|LLC Place: Ketchum, Idaho Zip: ID 83340Choice

  9. 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...

  10. Uncalibrated Building Energy Simulation Modeling Results

    E-Print Network [OSTI]

    Ahmad, M.; Culp, C.H.

    for the Level 1 and Level 2 models with measured data for WERC (2004 post-commissioning data). ESL-PA-06-10-01 VOLUME 12, NUMBER 4, OCTOBER 2006 1151 Figure 6. Comparison of simulated daily total energy consumption for the Level 1 and Level 2 models with 1999...,450 m2]), the simulation using 1999 data underestimates the energy use in all categories except the whole building electrical usage. Table 3 identifies the magnitude of these discrepancies for a full year’s consumption. The Level 1 model actually per...

  11. 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...

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

    E-Print Network [OSTI]

    Coakley, Daniel; Raftery, Paul; Keane, Marcus

    2014-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Sun, Kaiyu

    2014-01-01T23:59:59.000Z

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

  14. Methodology for Validating Building Energy Analysis Simulations

    SciTech Connect (OSTI)

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

    2008-04-01T23:59:59.000Z

    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.

  15. Vehicle Modeling and 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 DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and03/02 TUEValidation of& Systems Simulation|Modeling and

  16. Property:Simulated Beach | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to:This property is setSimulated Beach Jump to:

  17. Sandia Energy - Investigating the Value of Simulated Wind Data...

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

    for Wave Resource Characterization at US Test Sites Home Renewable Energy Energy Water Power News News & Events Systems Analysis Computational Modeling & Simulation...

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

    E-Print Network [OSTI]

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

    2002-01-01T23:59:59.000Z

    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 ...

  19. 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

  20. 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-dimensional direct simulations due to obvious numerical difficulties. We will present energy distributions and other;3D Simulation of Parker's model · Magnetic energy limited by disruptions. ==0.000625(64x64x16) =0

  1. 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

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

    E-Print Network [OSTI]

    Bazjanac, Vladimir

    2008-01-01T23:59:59.000Z

    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

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

    E-Print Network [OSTI]

    Maile, Tobias

    2014-01-01T23:59:59.000Z

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

  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

    2007-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Hong, Tianzhen

    2009-01-01T23:59:59.000Z

    ABORATORY Comparisons of HVAC Simulations between EnergyPlusemployer. Comparisons of HVAC Simulations between EnergyPlusThis paper compares HVAC simulations between EnergyPlus and

  6. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home Distribution GridDocumentsInstitute of AdvancedSecuritySensorsSimulating

  7. Virtual Simulation of Vision 21 Energy Plants

    SciTech Connect (OSTI)

    Syamlal, Madhava; Felix, Paul E.; Osawe, Maxwell O. (Fluent Inc.); Fiveland, Woodrow A.; Sloan, David G. (ALSTOM Power); Zitney, Stephen E. (Aspen Technology, Inc.); Joop, Frank (Intergraph Corporation); Cleetus, Joseph; Lapshin, Igor B. (Concurrent Engineering Research Center, West Virginia University)

    2001-11-06T23:59:59.000Z

    The Vision 21 Energy plants will be designed by combining several individual power, chemical, and fuel-conversion technologies. These independently developed technologies or technology modules can be interchanged and combined to form the complete Vision 21 plant that achieves the needed level of efficiency and environmental performance at affordable costs. The knowledge about each technology module must be captured in computer models so that the models can be linked together to simulate the entire Vision 21 power plant in a Virtual Simulation environment. Eventually the Virtual Simulation will find application in conceptual design, final design, plant operation and control, and operator training. In this project we take the first step towards developing such a Vision 21 Simulator. There are two main knowledge domains of a plant--the process domain (what is in the pipes), and the physical domain (the pipes and equipment that make up the plant). Over the past few decades, commercial software tools have been developed for each of these functions. However, there are three main problems that inhibit the design and operation of power plants: (1) Many of these tools, largely developed for chemicals and refining, have not been widely adopted in the power industry. (2) Tools are not integrated across functions. For example, the knowledge represented by computational fluid dynamics (CFD) models of equipment is not used in process-level simulations. (3) No tool exists for readily integrating the design and behavioral knowledge about components. These problems must be overcome to develop the Vision 21 Simulator. In this project our major objective is to achieve a seamless integration of equipment-level and process-level models and apply the integrated software to power plant simulations. Specifically we are developing user-friendly tools for linking process models (Aspen Plus) with detailed equipment models (FLUENT CFD and other proprietary models). Such integration will ensure that consistent and complete knowledge about the process is used for design and optimization. The technical objectives of the current project are the following: Develop a software integration tool called the V21-Controller to mediate the information exchange between FLUENT, other detailed equipment models, and Aspen Plus. Define and publish software interfaces so that software and equipment vendors may integrate their computer models into the software developed in this project. Demonstrate the application of the integrated software with two power plant simulations, one for a conventional steam plant and another for an advanced power cycle. The project was started in October 2000. Highlights of the accomplishments during the first year of the project are the following: Formed a multi-disciplinary project team consisting of chemical and mechanical engineers; computer scientists; CFD, process simulation, and plant design software developers; and power plant designers. Developed a prototype of CFD and process model integration: a stirred tank reactor model based on FLUENT was inserted into a flow sheet model based on Aspen Plus. The prototype was used to show the effect of shaft speed (a parameter in the CFD model) on the product yield and purity (results of process simulation). This demonstrated the optimization of an equipment item in the context of the entire plant rather than in isolation. Conducted a user survey and wrote the User Requirements, Software Requirements and Software Design documents for the V21-Controller. Adopted CAPE-OPEN standard interfaces for communications between equipment and process models. Developed a preliminary version of the V21-Controller based on CAPE-OPEN interfaces. Selected one unit of an existing conventional steam plant (Richmond Power & Light) as the first demonstration case and developed an Aspen Plus model of the steam-side of the unit. A model for the gas-side of the unit, based on ALSTOM's proprietary model INDVU, was integrated with the Aspen Plus model. An industrial Advisory Board was formed to guide the software deve

  8. Simulated Quantum Computation of Molecular Energies

    E-Print Network [OSTI]

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

    2006-04-26T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    2012-08-01T23:59:59.000Z

    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.

  10. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8, 2000Consumption SurveyEnergy Storage

  11. Modeling and simulation of HVAC Results in EnergyPlus

    E-Print Network [OSTI]

    LBNL-5564E Modeling and simulation of HVAC Results in EnergyPlus Mangesh Basarkar, Xiufeng Pang;MODELING AND SIMULATION OF HVAC FAULTS IN ENERGYPLUS Mangesh Basarkar, Xiufeng Pang, Liping Wang, Philip

  12. Sandia Energy - Simulating Turbine-Turbine Interaction

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

    of wind-turbine wakes within a turbulent atmospheric boundary layer using a large eddy simulation (LES) method. Current and ongoing work aims to leverage the simulation...

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

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

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

  14. 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 ...

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

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

    PPPL physicists win supercomputing time to simulate key energy and astrophysical phenomena By John Greenwald January 8, 2013 Tweet Widget Google Plus One Share on Facebook A...

  16. 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

    2011-03-31T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Pang, Xiufeng

    2013-01-01T23:59:59.000Z

    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

  18. Simulating Urban Environments for Energy Analysis

    E-Print Network [OSTI]

    Weber, Gunther H.

    2014-01-01T23:59:59.000Z

    to offset peak energy demand. However, in addition it can beespecially solar and wind energy), demand response, elec-policy decisions for energy supply and demand response. The

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

    E-Print Network [OSTI]

    Hybrid Simulation Modeling to Estimate U.S. Energy Elasticities by Adam C. Baylin-Stern B.A. & Sc in the estimation of ESUBs from CIMS. Keywords: Elasticity of substitution; hybrid energy-economy model; translog-Stern Degree: Project No.: Master of Resource Management 535 Title of Thesis: Hybrid Simulation Modeling

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

    E-Print Network [OSTI]

    Wetter, Michael

    2010-01-01T23:59:59.000Z

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

  1. 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

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

    E-Print Network [OSTI]

    Diamond, Richard

    monitored system outputs for performance validation and energy analysis. The paper presents results from1 Performance Validation and Energy Analysis of HVAC Systems using Simulation Tim Salsbury and Rick Francisco. 1 Introduction Significant potential exists with the current technology of energy management

  3. Ab Initio Molecular Dynamics Simulations of Low-Energy Recoil...

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

    than the ions on lattice sites in perfect MO2. Citation: Xiao HY, Y Zhang, and WJ Weber.2012."Ab Initio Molecular Dynamics Simulations of Low-Energy Recoil Eventsin ThO2,...

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

    E-Print Network [OSTI]

    2012-01-01T23:59:59.000Z

    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

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

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

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

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

    Energy Savers [EERE]

    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...

  7. Energy Simulation Training Prepared for the

    E-Print Network [OSTI]

    `i Natural Energy Institute University of Hawai`i Manoa #12;#12;TABLE OF CONTENTS HNEI FUNDING Program Subtask 3.5.1: Residential Energy Efficiency Deliverable 3 Prepared by The University of Hawai and Earth Science and Technology University of Hawai`i April 2013 #12;Acknowledgement: This material

  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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983)(Roberts,(Laney,| Jump

  9. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof EnergyInnovation in Carbon CaptureAtria Power CorporationAutonomie Automotive

  10. Sandia Energy - Computational Modeling & Simulation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection245C Unlimited ReleaseWelcomeLong Lifetime ofColin

  11. Radio Channel Simulator - Energy Innovation Portal

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection Radiation Protection Regulations: TheCompetition » Radiator

  12. EMPIRICAL VALIDATION OF BUILDING ENERGY SIMULATION SOFTWARE: ENERGYPLUS

    SciTech Connect (OSTI)

    Shrestha, Som S [ORNL] [ORNL; Maxwell, Dr. Gregory [Iowa State University] [Iowa State University

    2011-01-01T23:59:59.000Z

    This paper compares the results from a study conducted at Iowa Energy Center s Energy Resource Station with EnergyPlus simulation results. The building consists of controlled test rooms, dedicated air handling units and air-cooled chillers for the purpose of obtaining quality data suitable for empirical validation studies. Weather data were also collected at the facility and used for the simulation. Empirical validation can be performed on various levels of the program such as zone level, systems level, and plant level. This study is unique in the sense that it integrates the zones, system, and plant into one analysis. For this study, the difference between empirical and EnergyPlus predicted zone cooling loads varied from 1.7% to 10.2%, but the difference for the compressor power was as much as 22.4%. The paper also describes the potential reasons why simulation results might not match field data.

  13. 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.

    2006-01-01T23:59:59.000Z

    This paper proposes a method of estimating the adjusted energy baseline using simulation models, which can calculate the energy baseline with various conditions, such as conditions of weather, occupancy and equipment operations. Especially...

  14. House Simulation Protocols Report | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaefer To:Department ofOral Testimony of Secretary Samuel W. BodmanReport cover

  15. Sandia Energy - Computational Modeling & Simulation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection245C Unlimited ReleaseWelcomeLong Lifetime ofColinMELCOR Permalink

  16. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > TheNuclear PressLaboratory FellowsPolariton Lasing Home

  17. Distributed Energy Technology Simulator: Microturbine Demonstration,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No53197E T ADRAFTJanuary 2004 | Department of EnergyOctober

  18. Sandia Energy » Computational Modeling & Simulation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementingnpitche Home About npitche This author has notExpansion ofNewDigital

  19. More Issues of Building Energy Simulation

    E-Print Network [OSTI]

    Kang, Z.; Zhao, J.

    2006-01-01T23:59:59.000Z

    and compared, and the predominance of the Z-transfer function method is indicated on dynamic calculation of energy consumption of heating and air-conditioning systems. The paper discusses the means to deal with several complex problems, such as thermal bridge...

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed off Energy.gov. Are you sureReportsofDepartmentSeries |Attacksof Energy Wave Energy Simulation

  1. Tunneling through high energy barriers in simulated quantum annealing

    E-Print Network [OSTI]

    Elizabeth Crosson; Mingkai Deng

    2014-10-30T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Not Available

    2014-08-01T23:59:59.000Z

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

  3. 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

  4. 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

  5. Sandia Energy - Computational Modeling & Simulation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand RequirementsCoatings Initiated at PNNL's Sequim BayCaptureCloud Computingfor

  6. 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 DataEnergyDepartment ofATVM LoanActiveMission »Advanced Modeling &

  7. House Simulation Protocols Report | 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 DataDepartment of Energy Your Density Isn't YourTransport(Fact Sheet), GeothermalGridHYDROGEND D e e p pofHon. DanielHoteliersHouseTopHouse

  8. Solar Cell 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 DataDepartment of Energy Your Density Isn'tOriginEducationVideo »UsageSecretary ofSmallConfidential,2 Solar Background Document 2Solar Cell

  9. Simulating a Nationally Representative Housing Sample Using EnergyPlus

    SciTech Connect (OSTI)

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

    2011-03-04T23:59:59.000Z

    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.

  10. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of EnergySimulations Activity Date

  11. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of EnergySimulations Activity

  12. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of EnergySimulations

  13. Mobile Building Energy Audit and Modeling Tools: Cooperative Research and Development Final Report, CRADA Number CRD-11-00441

    SciTech Connect (OSTI)

    Brackney, L.

    2013-04-01T23:59:59.000Z

    Broadly accessible, low cost, accurate, and easy-to-use energy auditing tools remain out of reach for managers of the aging U.S. building population (over 80% of U.S. commercial buildings are more than 10 years old*). concept3D and NREL's commercial buildings group will work to translate and extend NREL's existing spreadsheet-based energy auditing tool for a browser-friendly and mobile-computing platform. NREL will also work with concept3D to further develop a prototype geometry capture and materials inference tool operable on a smart phone/pad platform. These tools will be developed to interoperate with NREL's Building Component Library and OpenStudio energy modeling platforms, and will be marketed by concept3D to commercial developers, academic institutions and governmental agencies. concept3D is NREL's lead developer and subcontractor of the Building Component Library.

  14. Hydrodynamic and hydromagnetic energy spectra from large eddy simulations

    E-Print Network [OSTI]

    N. E. L. Haugen; A. Brandenburg

    2006-06-29T23:59:59.000Z

    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.

  15. A High Energy Electron and Photon Detector Simulation System

    E-Print Network [OSTI]

    Srikanta Sinha

    2008-10-02T23:59:59.000Z

    A detailed Monte-Carlo code has been developed from basic principles that simulates almost all of the basic photon and charged particle interactions. The code is used to derive the response functions of a high energy photon detector to incident beams of photons of various energies. The detector response matrices (DRMs) are calculated using this code. Deconvolution of an artificially generated spectrum is presented.

  16. Calibrated Ultra Fast Image Simulations for the Dark Energy Survey

    E-Print Network [OSTI]

    Bruderer, Claudio; Refregier, Alexandre; Amara, Adam; Berge, Joel; Gamper, Lukas

    2015-01-01T23:59:59.000Z

    Weak lensing by large-scale structure is a powerful technique to probe the dark components of the universe. To understand the measurement process of weak lensing and the associated systematic effects, image simulations are becoming increasingly important. For this purpose we present a first implementation of the $\\textit{Monte Carlo Control Loops}$ ($\\textit{MCCL}$; Refregier & Amara 2014), a coherent framework for studying systematic effects in weak lensing. It allows us to model and calibrate the shear measurement process using image simulations from the Ultra Fast Image Generator (UFig; Berge et al. 2013). We apply this framework to a subset of the data taken during the Science Verification period (SV) of the Dark Energy Survey (DES). We calibrate the UFig simulations to be statistically consistent with DES images. We then perform tolerance analyses by perturbing the simulation parameters and study their impact on the shear measurement at the one-point level. This allows us to determine the relative im...

  17. Building Energy Simulation & Modeling | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO OverviewAttachments EnergyFebruary 29 - MarchCodes Resources BuildingInnovation |Building

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

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently AskedEnergyIssuesEnergy Solar Decathlon DOE-HDBK-1046-2008 AugustTermsTest

  19. 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.

    1996-01-01T23:59:59.000Z

    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...

  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. 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

  2. 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.

    2010-08-01T23:59:59.000Z

    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.

  3. Simulation and Big Data Challenges in Tuning Building Energy Models

    SciTech Connect (OSTI)

    Sanyal, Jibonananda [ORNL] [ORNL; New, Joshua Ryan [ORNL] [ORNL

    2013-01-01T23:59:59.000Z

    EnergyPlus is the flagship building energy simulation software used to model whole building energy consumption for residential and commercial establishments. A typical input to the program often has hundreds, sometimes thousands of parameters which are typically tweaked by a buildings expert to get it right . This process can sometimes take months. Autotune is an ongoing research effort employing machine learning techniques to automate the tuning of the input parameters for an EnergyPlus input description of a building. Even with automation, the computational challenge faced to run the tuning simulation ensemble is daunting and requires the use of supercomputers to make it tractable in time. In this proposal, we describe the scope of the problem, the technical challenges faced and overcome, the machine learning techniques developed and employed, and the software infrastructure developed/in development when taking the EnergyPlus engine, which was primarily designed to run on desktops, and scaling it to run on shared memory supercomputers (Nautilus) and distributed memory supercomputers (Frost and Titan). The parametric simulations produce data in the order of tens to a couple of hundred terabytes.We describe the approaches employed to streamline and reduce bottlenecks in the workflow for this data, which is subsequently being made available for the tuning effort as well as made available publicly for open-science.

  4. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJune 2,The BigSiding RetrofitforCamberlyDepartment BEopt

  5. 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

    2014-03-30T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Chaisuparasmikul, P.

    2006-01-01T23:59:59.000Z

    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...

  7. 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

  8. 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

  9. 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

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home DistributionTransportation Safety Home StationaryUpper RioVideos

  11. Mesoscale and Large-Eddy Simulations for Wind Energy

    SciTech Connect (OSTI)

    Marjanovic, N

    2011-02-22T23:59:59.000Z

    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. Simulation and High-Performance Computing | 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 DataDepartment of Energy Your Density Isn'tOriginEducationVideo »UsageSecretary of EnergyFocus GroupSherrell R. GreeneTianyueonSimulation

  13. 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 DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and03/02 TUEValidation of& Systems Simulation & Testing

  14. Automatic Calibration of a Building Energy Simulation Model Using a Global Optimization Program 

    E-Print Network [OSTI]

    Lee, S. U.; Claridge, D.

    2002-01-01T23:59:59.000Z

    A simulation model used to analyze the energy performance of an existing building should be calibrated to measured consumption data from the building so the simulation output closely follows the measured time series energy consumption data and shows...

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

    SciTech Connect (OSTI)

    Pang, Xiufeng; Bhattachayra, Prajesh; O'Neill, Zheng; Haves, Philip; Wetter, Michael; Bailey, Trevor

    2011-11-01T23:59:59.000Z

    Most commercial buildings do not perform as well in practice as intended by the design and their performances often deteriorate over time. Reasons include faulty construction, malfunctioning equipment, incorrectly configured control systems and inappropriate operating procedures (Haves et al., 2001, Lee et al., 2007). To address this problem, the paper presents a simulation-based whole building performance monitoring tool that allows a comparison of building actual performance and expected performance in real time. The tool continuously acquires relevant building model input variables from existing Energy Management and Control System (EMCS). It then reports expected energy consumption as simulated of EnergyPlus. The Building Control Virtual Test Bed (BCVTB) is used as the software platform to provide data linkage between the EMCS, an EnergyPlus model, and a database. This paper describes the integrated real-time simulation environment. A proof-of-concept demonstration is also presented in the paper.

  16. 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 modeling technique, domain specific modeling, and a methodology for energy-efficient design of application

  17. Survey and Analysis of Weather Data for Building Energy Simulations Mahabir Bhandari, Som Shrestha, Joshua New

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    potential energy savings measures in compliance with building code trade-offs and new legislationPage 1 Survey and Analysis of Weather Data for Building Energy Simulations Mahabir Bhandari, Som, climate, building energy simulation, EnergyPlus ABSTRACT In recent years, calibrated energy modeling

  18. 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

  19. 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

  20. Ion beam heated target simulations for warm dense matter physics and inertial fusion energy$

    E-Print Network [OSTI]

    Wurtele, Jonathan

    Ion beam heated target simulations for warm dense matter physics and inertial fusion energy$ J Keywords: Ion beam heating Warm dense matter Inertial fusion energy targets Hydrodynamic simulation a b fusion energy-related beam-target coupling. Simulations of various target materials (including solids

  1. 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

  2. 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

  3. 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 dynamics simulation. The kinetic energy relaxation was found to be a biphasic exponential decay process in the heme protein myoglobin. Computer simulation of vibrational energy relaxation in heme proteins began

  4. 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

  5. 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

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

    E-Print Network [OSTI]

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

    2009-02-12T23:59:59.000Z

    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.

  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. Simulating a Nationally Representative Housing Sample Using EnergyPlus

    E-Print Network [OSTI]

    Hopkins, Asa S.

    2011-01-01T23:59:59.000Z

    Simulating a Nationally Representative Housing Sample UsingSimulating a Nationally Representative Housing Sample Usingcalibrated, nationally representative set of simulated homes

  9. 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

    2012-01-01T23:59:59.000Z

    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 

  10. SIMULATIONS OF THE AGS MMPS STORING ENERGY IN CAPACITOR BANKS

    SciTech Connect (OSTI)

    MARNERIS,I.; BADEA, V.S.; BONATI, R.; ROSER, T.; SANDBERG, J.

    2007-06-25T23:59:59.000Z

    The Brookhaven AGS Main Magnet Power Supply (MMPS) is a thyristor control supply rated at 5500 Amps, +/-9000 Volts. The peak magnet power is 50 MWatts. The power supply is fed from a motor/generator manufactured by Siemens. The generator is 3 phase 7500 Volts rated at 50 MVA. The peak power requirements come from the stored energy in the rotor of the motor/generator. The motor generator is about 45 years old, made by Siemens and it is not clear if companies will be manufacturing similar machines in the future. We are therefore investigating different ways of storing energy for future AGS MMPS operations. This paper will present simulations of a power supply where energy is stored in capacitor banks. Two dc to dc converters will be presented along with the control system of the power section. The switching elements will be IGCT's made by ABB. The simulation program used is called PSIM version 6.1. The average power from the local power authority into the power supply will be kept constant during the pulsing of the magnets at +/-50 MW. The reactive power will also be kept constant below 1.5 MVAR. Waveforms will be presented.

  11. WINS: Market Simulation Tool for Facilitating Wind Energy Integration

    SciTech Connect (OSTI)

    Shahidehpour, Mohammad [Illinois Institute of Technology

    2012-10-30T23:59:59.000Z

    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. (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.

  12. 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

  13. 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 and simulated performance data. In context of this method, we developed a software tool that provides graphing

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

    E-Print Network [OSTI]

    Fuster, Daniel

    An energy preserving formulation for the simulation of multiphase turbulent flows. Abstract In this manuscript we propose an energy preserving formulation for the simulation of multiphase flows. The new jumps across the interface including surface tension effects. 1 Introduction Nowadays the simulation

  15. 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

  16. 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

  17. 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

    2012-01-01T23:59:59.000Z

    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.

  18. 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.

    2013-04-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Urban, Bryan J. (Bryan James)

    2007-01-01T23:59:59.000Z

    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 ...

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

    E-Print Network [OSTI]

    Oh, Sukjoon

    2013-08-19T23:59:59.000Z

    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 systems and, in some cases...

  1. 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.

    2014-09-01T23:59:59.000Z

    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.

  2. NUMERICAL DETERMINATION AND TREATMENT OF CONVECTIVE HEAT TRANSFER COEFFICIENT IN THE COUPLED BUILDING ENERGY AND CFD SIMULATION

    E-Print Network [OSTI]

    Chen, Qingyan "Yan"

    BUILDING ENERGY AND CFD SIMULATION Zhiqiang Zhai* Department of Civil, Environmental and Architectural, IN 47907-2088, USA ABSTRACT The integration of building Energy Simulation (ES) and Computational Fluid, Energy Simulation, CFD, Coupling INTRODUCTION A building energy simulation (ES) program predicts building

  3. 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

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

    E-Print Network [OSTI]

    Li, Tim

    2000-01-01T23:59:59.000Z

    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. 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

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

    E-Print Network [OSTI]

    Simunic, Tajana

    HomeSim: Comprehensive, Smart, Residential Electrical Energy Simulation and Scheduling J. Venkatesh.edu + {jc.junqua, phmorin} @us.panasonic.com Abstract-- Residential energy constitutes 38% of the total energy consumption in the United States [1]. Although a number of building simulators have been proposed

  7. 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

  8. 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.

    2013-01-01T23:59:59.000Z

    Building Energy Simulation (BES) models play a significant role in the design and optimisation of buildings. Simulation models may be used to compare the cost-effectiveness of Energy- Conservation Measures (ECMs) in the design stage as well...

  9. 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.

    2002-01-01T23:59:59.000Z

    of EnergyGauge USA with significant impact on measures that effect sensible loads. The development of the new correlations is described in Henderson (1998a) and is based on empirical assessment of current generation heating and cooling equipment... moisture capacitance model for the simulation to damp out unrealistic variations in air enthalpy that were observed with the current model. The model, described in Henderson (1998b) assumes that the building has a moisture capacitance that is twenty...

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

    E-Print Network [OSTI]

    Simunic, Tajana

    Residential Energy Simulation and Scheduling: A Case Study Approach Jagannathan Venkatesh, Baris, baksanli, tajana}@ucsd.edu Abstract-- Residential energy contributes to 38% of the total energy consumption or by providing energy information to consumers. Industrial innovations are focused on energy efficiency

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

    E-Print Network [OSTI]

    Wang, Hainan

    2013-01-01T23:59:59.000Z

    and Asymmetric Supercapacitors . . . . 1.3 Materials ofModeling of Supercapacitors . . . . . . . . . . . . 226 Ain simulating asymmetric supercapacitors with planar elec-

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

    E-Print Network [OSTI]

    Zhai, Zhiqiang, 1971-

    2003-01-01T23:59:59.000Z

    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 ...

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

    E-Print Network [OSTI]

    McKenzie, Jeffrey M.

    saturated, coupled porewater-energy transport, with freezing and melting porewater, and includes propor transport; Freezing; Cold regions; Benchmark; Modelling 1. Introduction The freezing and thawingGroundwater flow with energy transport and water­ice phase change: Numerical simulations

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

    E-Print Network [OSTI]

    Wang, Hainan

    2013-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Wang, Hainan

    2013-01-01T23:59:59.000Z

    electrochemical capacitor energy storage systems. 1.2 Energyto electrochemical energy storage in TiO 2 (anatase)3D nanoarchitec- tures for energy storage and conversion,”

  16. 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 5Simulating the energy savings potential in domestic heating scenarios in Switzerland Wilhelm a new methodology to prepare weather data for simulating the energy consumption of a heating system when

  17. 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

  18. 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

  19. 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

  20. 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

  1. The energy injection and losses in the Monte Carlo simulations of a diffusive shock

    E-Print Network [OSTI]

    Wang, Xin

    2011-01-01T23:59:59.000Z

    Although diffusive shock acceleration (DSA) could be simulated by some well-established models, the assumption of the injection rate from the thermal particles to the superthermal population is still a contentious problem. But in the self-consistent Monte Carlo simulations, because of the prescribed scattering law instead of the assumption of the injected function, hence particle injection rate is intrinsically defined by the prescribed scattering law. We expect to examine the correlation of the energy injection with the prescribed multiple scattering angular distributions. According to the Rankine-Hugoniot conditions, the energy injection and the losses in the simulation system can directly decide the shock energy spectrum slope. By the simulations performed with multiple scattering law in the dynamical Monte Carlo model, the energy injection and energy loss functions are obtained. As results, the case applying anisotropic scattering law produce a small energy injection and large energy losses leading to a s...

  2. Cooling energy demand evaluation by means of regression models obtained from dynamic simulations

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Cooling energy demand evaluation by means of regression models obtained from dynamic simulations Ph, Université Lyon1, FRANCE ABSTRACT The forecast of the energy heating/cooling demand would be a good indicator between simple and complex methods of evaluating the cooling energy demand we have proposed to use energy

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

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

    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...

  5. 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

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

    E-Print Network [OSTI]

    Sekhon, Jasjeet S.

    -4337 | www.funginstitute.berkeley.edu #12;Abstract: The search for renewable and clean energies is one to lack of credits for renewable energy sources and improper incineration technologies with high CO2 in renewable energies, with very low CO2 emis- sions, making waste- to- energy a clean source of energy

  7. 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 density function ! Host energy model ! Computation energy: power consumption of SP, EPIC, LPIC ! Communication energy: power consumption for SR transmission and reception ! Data transmission energy

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

    E-Print Network [OSTI]

    Stadler, Michael

    2011-01-01T23:59:59.000Z

    Importance Total off- site energy demand (2030) 20% decreaseImportance Total off-site energy demand (2030) 20% decreaseImportance Total off-site energy demand (2030) 20% decrease

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

    E-Print Network [OSTI]

    2009-01-01T23:59:59.000Z

    of demand response actions on baseline-buildingDemand Response and Energy Efficiency in Commercial Buildings”Demand Response Performance Results California Energy Commission Building

  10. Practical experience in achieving high levels of accuracy in energy simulations of existing buildings

    SciTech Connect (OSTI)

    Waltz, J.P. [Energy Resource Associates, Livermore, CA (United States)

    1995-12-01T23:59:59.000Z

    The computer simulation of existing buildings presents unique problems and opportunities. A high level of accuracy can only be achieved through optimization of three factors: (1) an intimate understanding of the simulation tool; (2) an intimate understanding of the building to be simulated; (3) careful analysis and critique of output data. Optimization of these factors regularly produces computer simulations within 5% of the measured consumption. Examples of the optimization means are provided in this article. The values of computerized simulation in an energy services (ESCO) contract are also discussed.

  11. Reactor Subsystem Simulation for Nuclear Hybrid Energy Systems

    SciTech Connect (OSTI)

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

    2012-09-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Wang, Hainan

    2013-01-01T23:59:59.000Z

    spectroscopy (EIS) in microbial fuel cell studies,” Energy &de- velopment of microbial fuel cells: an electrochemical

  13. Simulation Models to Optimize the Energy Consumption of Buildings 

    E-Print Network [OSTI]

    Burhenne, S.; Jacob, D.

    2008-01-01T23:59:59.000Z

    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...

  14. 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

  15. A Flexible simulation and verification framework for next generation hybrid pixel readout chips in High Energy Physics

    E-Print Network [OSTI]

    Marconi, Sara

    A Flexible simulation and verification framework for next generation hybrid pixel readout chips in High Energy Physics

  16. 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

  17. Monte Carlo Simulation of Electrodeposition of Copper: A Multistep Free Energy Calculation

    E-Print Network [OSTI]

    Subramanian, Venkat

    Monte Carlo Simulation of Electrodeposition of Copper: A Multistep Free Energy Calculation S is carried out to evaluate the step wise free energy change in the process of electrochemical copper the number of species (CuCl2 or CuSO4 or Cu as the case may be) and in turn the free energy. The effect

  18. Solar Energy, 2006, 80, 3, 361-367 SIMULATING METEOSAT-7 BROADBAND RADIANCES USING TWO

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Solar Energy, 2006, 80, 3, 361-367 SIMULATING METEOSAT-7 BROADBAND RADIANCES USING TWO VISIBLE-00361360,version1-13Feb2009 Author manuscript, published in "Solar Energy 80, 3 (2006) 361-367" DOI : 10.1016/j.solener.2005.01.012 #12;Solar Energy, 2006, 80, 3, 361-367 · Imet-7 the maximum irradiance

  19. 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 and energy of the electrons, coupled to the Poisson equation for the electrostatic potential. The movement

  20. 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 unanswered. We discuss the general principles for defining curvature- based energy on discrete surfaces based

  1. 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 frictional dissipation rate balances the energy production rate near the radius of maximum wind (RMW

  2. 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 frictional dissipation rate balances the energy production rate near the radius of maximum wind (RMW

  3. 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

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

    E-Print Network [OSTI]

    Statistical Simulation to Estimate Uncertain Behavioral Parameters of Hybrid Energy-Economy Models 2011 # Springer Science+Business Media B.V. 2011 Abstract In energy-economy modeling, new hybrid models) backcasting a hybrid energy- economy model over a historical time period; and (3) the application of Markov

  5. 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 Carlo model is presented to evaluate the clinical benefits of optimal energy bins in spectral X-ray imaging, using the BEAMnrc code system. While energy resolving photon counting detectors have been

  6. 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

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

    E-Print Network [OSTI]

    Chen, Qingyan "Yan"

    , West Lafayette, IN 47907-2088, USA Abstract The integration of building energy simulation (ES efficiency, and energy consumption. Based on the information, a building designer is able to modify his and accurate convective heat transfers that help ES to calculate more accurately total energy consumption

  8. COMBINED THERMAL MEASUREMENT AND SIMULATION FOR THE DETAILED ANALYSIS OF FOUR OCCUPIED LOW-ENERGY BUILDINGS

    E-Print Network [OSTI]

    Gieseler, Udo D. J.

    COMBINED THERMAL MEASUREMENT AND SIMULATION FOR THE DETAILED ANALYSIS OF FOUR OCCUPIED LOW-ENERGY BUILDINGS U.D.J. Gieseler, F.D. Heidt1 , W. Bier Division of Building Physics and Solar Energy, University energy and temperature measurements of occupied buildings very well. These buildings repre- sent small

  9. 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

  10. 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 by the user). Apart from thinning, a number of papers treats about techniques to simulate ultra high energy30TH INTERNATIONAL COSMIC RAY CONFERENCE A Fast and Accurate Monte Carlo EAS Simulation Scheme

  11. 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 reserves resulting in increased system production costs. Consequently, there is an acute need production simulation tool with the capability to quantify the variable effects of systems with varying wind

  12. Home energy rating system building energy simulation test (HERS BESTEST). Volume 2, Tier 1 and Tier 2 tests reference results

    SciTech Connect (OSTI)

    Judkoff, R.; Neymark, J.

    1995-11-01T23:59:59.000Z

    The Home Energy Rating System (HERS) Building Energy Simulation Test (BESTEST) is a method for evaluating the credibility of software used by HERS to model energy use in buildings. The method provides the technical foundation for ''certification of the technical accuracy of building energy analysis tools used to determine energy efficiency ratings,'' as called for in the Energy Policy Act of 1992 (Title I, Subtitle A, Section 102, Title II, Part 6, Section 271). Certification is accomplished with a uniform set of test cases that Facilitate the comparison of a software tool with several of the best public-domain, state-of-the-art building energy simulation programs available in the United States. The HERS BESTEST work is divided into two volumes. Volume 1 contains the test case specifications and is a user's manual for anyone wishing to test a computer program. Volume 2 contains the reference results and suggestions for accrediting agencies on how to use and interpret the results.

  13. Refrigerator/freezer energy use: Measured values vs. simulation results

    SciTech Connect (OSTI)

    Hakim, S.H.; Turiel, I. [Lawrence Berkeley National Lab., CA (United States). Energy and Environment Div.

    1997-12-31T23:59:59.000Z

    The EPA Refrigerator Analysis (ERA) program was utilized in the engineering analysis performed to support the proposed refrigerator/freezer standards in the United States. In this paper the accuracy of the ERA program for predicting the energy consumption of domestic refrigerators, freezers, and refrigerator-freezers is studied by comparing the predicted energy consumption with the measured energy consumption.

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

    E-Print Network [OSTI]

    Upadhyaya, K.; McLean, D.

    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...

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

    E-Print Network [OSTI]

    Kim, Hagkwen

    2013-05-24T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

    Ohannessian, Mesrob I., 1981-

    2005-01-01T23:59:59.000Z

    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 ...

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

    E-Print Network [OSTI]

    Cho, S.; Haberl, J.

    2010-01-01T23:59:59.000Z

    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 then can be available to analyze...

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

    E-Print Network [OSTI]

    Kim, Hagkwen

    2013-05-24T23:59:59.000Z

    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...

  19. 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

    2008-09-08T23:59:59.000Z

    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.

  20. Cleaning Inefficiency of the LHC Collimation System During the Energy Ramp: Simulations and Measurements

    E-Print Network [OSTI]

    Quaranta, E; Lari, L; Mirarchi, D; Redaelli, S; Rossi, A; Salvachua, B; Valentino, G

    2013-01-01T23:59:59.000Z

    The cleaning inefficiency of the LHC collimation system for the operational scenarios in 2010-12 has already been studied in detail at injection and top energy (450 GeV and 4 TeV respectively). In this paper, results are presented for the cleaning inefficiency at intermediate energies, simulated using the SixTrack code. The first comparisons with measured provoked losses are discussed. This study helps in benchmarking the energy dependence of the simulated inefficiency and is thus important for the extrapolation to future operation at higher energies.

  1. Energy Efficient Biomolecular Simulations with FPGA-based Reconfigurable Computing

    SciTech Connect (OSTI)

    Hampton, Scott S [ORNL; Agarwal, Pratul K [ORNL

    2010-05-01T23:59:59.000Z

    Reconfigurable computing (RC) is being investigated as a hardware solution for improving time-to-solution for biomolecular simulations. A number of popular molecular dynamics (MD) codes are used to study various aspects of biomolecules. These codes are now capable of simulating nanosecond time-scale trajectories per day on conventional microprocessor-based hardware, but biomolecular processes often occur at the microsecond time-scale or longer. A wide gap exists between the desired and achievable simulation capability; therefore, there is considerable interest in alternative algorithms and hardware for improving the time-to-solution of MD codes. The fine-grain parallelism provided by Field Programmable Gate Arrays (FPGA) combined with their low power consumption make them an attractive solution for improving the performance of MD simulations. In this work, we use an FPGA-based coprocessor to accelerate the compute-intensive calculations of LAMMPS, a popular MD code, achieving up to 5.5 fold speed-up on the non-bonded force computations of the particle mesh Ewald method and up to 2.2 fold speed-up in overall time-to-solution, and potentially an increase by a factor of 9 in power-performance efficiencies for the pair-wise computations. The results presented here provide an example of the multi-faceted benefits to an application in a heterogeneous computing environment.

  2. Simulation-assisted evaluation of potential energy savings: Application to an administrative building in France 

    E-Print Network [OSTI]

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

    2012-01-01T23:59:59.000Z

    CONSUMPTION 17 MWh kWh/m? Total per year 3172 166 25 Oct 2012 RETROFIT OPTIONS SIMULATION (1) ? Implementation of energy efficient schedule, fresh air rate and new setpoint for air handling units and fan coils into the BMS: ? New indoor setpoint (occ... that only 28% of the annual energy consumption comes from the working period. These observations lead to various energy savings scenarios. Table 3: 2009 Electricty consumption period disaggregation according to SIMAUDIT model % MWh Primary Energy [MWh...

  3. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757 (1)Tara46EnergyPowerHighlights -

  4. Sandia Energy - Molecular Dynamics Simulations Predict Fate of Uranium in

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757Kelley Ruehl Home KelleyMaryEnergyCapabilities

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

    SciTech Connect (OSTI)

    Denholm, P.; Hummon, M.

    2012-11-01T23:59:59.000Z

    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.

  6. 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

    2007-04-08T23:59:59.000Z

    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.

  7. Simulating the Next Generation of Energy Technologies | Department...

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

    That's why the Department of Energy has and will continue to invest in high performance computing, software, and algorithm development, to ensure that the US has the...

  8. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of Energy Demand

  9. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of Energy DemandModeling-Computer

  10. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of Energy

  11. 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

    2005-03-24T23:59:59.000Z

    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.

  12. NREL Improves Building Energy Simulation Programs Through Diagnostic Testing (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-01-01T23:59:59.000Z

    This technical highlight describes NREL research to develop Building Energy Simulation Test for Existing Homes (BESTEST-EX) to increase the quality and accuracy of energy analysis tools for the building retrofit market. Researchers at the National Renewable Energy Laboratory (NREL) have developed a new test procedure to increase the quality and accuracy of energy analysis tools for the building retrofit market. The Building Energy Simulation Test for Existing Homes (BESTEST-EX) is a test procedure that enables software developers to evaluate the performance of their audit tools in modeling energy use and savings in existing homes when utility bills are available for model calibration. Similar to NREL's previous energy analysis tests, such as HERS BESTEST and other BESTEST suites included in ANSI/ASHRAE Standard 140, BESTEST-EX compares software simulation findings to reference results generated with state-of-the-art simulation tools such as EnergyPlus, SUNREL, and DOE-2.1E. The BESTEST-EX methodology: (1) Tests software predictions of retrofit energy savings in existing homes; (2) Ensures building physics calculations and utility bill calibration procedures perform to a minimum standard; and (3) Quantifies impacts of uncertainties in input audit data and occupant behavior. BESTEST-EX includes building physics and utility bill calibration test cases. The diagram illustrates the utility bill calibration test cases. Participants are given input ranges and synthetic utility bills. Software tools use the utility bills to calibrate key model inputs and predict energy savings for the retrofit cases. Participant energy savings predictions using calibrated models are compared to NREL predictions using state-of-the-art building energy simulation programs.

  13. Analyzing Two Federal Building-Integrated Photovoltaic Projects Using ENERGY-10 Simulations: Preprint

    SciTech Connect (OSTI)

    Walker, A.; Balcomb, D.; Weaver, N.; Kiss, G.; Becker-Humphry, M.

    2002-03-01T23:59:59.000Z

    A new version of the ENERGY-10 computer program simulates the performance of photovoltaic systems, in addition to presenting a wide range of opportunities to improve energy efficiency in buildings. This paper describes two test cases in which the beta release of ENERGY-10 version 1.4 was used to evaluate energy efficiency and building-integrated photovoltaics (BIPV) for two Federal building projects: an office and laboratory building at the Smithsonian Astrophysical Laboratory in Hilo, Hawaii, and housing for visiting scientists at the Smithsonian Environmental Research Center in Edgewater, Maryland. The paper describes the capabilities of the software, the method in which ENERGY-10 was used to assist in the design, and the results. ENERGY-10 appears to be an effective tool for evaluating BIPV options early in the building design process. By simulating both the building electrical load and simultaneous PV performance for each hour of the year, the ENERGY-10 program facilitates a highly accurate, integrated analysis.

  14. NREL Develops Diagnostic Test Cases to Improve Building Energy Simulation Programs (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-12-01T23:59:59.000Z

    This technical highlight describes NREL research to develop a set of diagnostic test cases for building energy simulations in order to achieve more accurate energy use and savings predictions. The National Renewable Energy Laboratory (NREL) Residential and Commercial Buildings research groups developed a set of diagnostic test cases for building energy simulations. Eight test cases were developed to test surface conduction heat transfer algorithms of building envelopes in building energy simulation programs. These algorithms are used to predict energy flow through external opaque surfaces such as walls, ceilings, and floors. The test cases consist of analytical and vetted numerical heat transfer solutions that have been available for decades, which increases confidence in test results. NREL researchers adapted these solutions for comparisons with building energy simulation results. Testing the new cases with EnergyPlus identified issues with the conduction finite difference (CondFD) heat transfer algorithm in versions 5 and 6. NREL researchers resolved these issues for EnergyPlus version 7. The new test cases will help users and developers of EnergyPlus and other building energy tools to identify and fix problems associated with solid conduction heat transfer algorithms of building envelopes and their boundary conditions. In the long term, improvements to software algorithms will result in more accurate energy use and savings predictions. NREL researchers plan to document the set of test cases and make them available for future consideration by validation standards such as ASHRAE Standard 140: Standard Method of Test for the Evaluation of Building Energy Analysis Computer Programs. EnergyPlus users will also have access to the improved CondFD model in version 7 after its next scheduled release.

  15. Building America 2014 House Simulation Protocols | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJune 2,The Big Green372 Room 4F-033 E-mailof EnergyThe

  16. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaefer To:Department of EnergySeacrist,theA QualifiedThe U.S.Version)

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaefer To:Department of EnergySeacrist,theA QualifiedThe

  18. Advanced Modeling and Simulation Documents | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed off Energy.gov. Are you0 ARRA Newsletters 20103-03 AUDITProductsletterInitiatives » Advanced

  19. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEIHesperia, California:Project JumpHyEnergy Systems IncCar

  20. Vehicle Technologies Office: Modeling and Simulation | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015ofDepartment of Energy MicrosoftVOLUME I AThe Vehicle Technologies Office

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

    SciTech Connect (OSTI)

    Wetter, Michael

    2010-08-22T23:59:59.000Z

    This article describes the implementation of the Building Controls Virtual Test Bed (BCVTB). The BCVTB is a software environment that allows connecting different simulation programs to exchange data during the time integration, and that allows conducting hardware in the loop simulation. The software architecture is a modular design based on Ptolemy II, a software environment for design and analysis of heterogeneous systems. Ptolemy II provides a graphical model building environment, synchronizes the exchanged data and visualizes the system evolution during run-time. The BCVTB provides additions to Ptolemy II that allow the run-time coupling of different simulation programs for data exchange, including EnergyPlus, MATLAB, Simulink and the Modelica modelling and simulation environment Dymola. The additions also allow executing system commands, such as a script that executes a Radiance simulation. In this article, the software architecture is presented and the mathematical model used to implement the co-simulation is discussed. The simulation program interface that the BCVTB provides is explained. The article concludes by presenting applications in which different state of the art simulation programs are linked for run-time data exchange. This link allows the use of the simulation program that is best suited for the particular problem to model building heat transfer, HVAC system dynamics and control algorithms, and to compute a solution to the coupled problem using co-simulation.

  2. 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

  3. 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.

    This paper describes an energy audit performed in a 97,760 ft2 (9082 m2) academic building at the University of Texas at San Antonio (UTSA). The paper describes the building survey and a simulation of the building’s energy use using eQUEST software...

  4. ReRack: Power Simulation for Data Centers with Renewable Energy Generation

    E-Print Network [OSTI]

    Renau, Jose

    ReRack: Power Simulation for Data Centers with Renewable Energy Generation Michael Brown and Jose://masc.cse.ucsc.edu ABSTRACT Data centers operating cost are dominated by their power consump- tion. Renewable energy sources factors, but the model should be extensive to consider other factors like power gating support. This paper

  5. problem that seller prosumers actually supply insufficient energy Simulation results have shown that this strategy significantly

    E-Print Network [OSTI]

    Liu, K. J. Ray

    problem that seller prosumers actually supply insufficient energy Simulation results have shown user cooperation [18], [19]. Among them, a seller prosumer in a trade is likely to have insufficient sufficient energy to the buyer as it has owners, the autonomous prosumers are assumed to be selfish levels

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

    E-Print Network [OSTI]

    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

  7. 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.

    2008-01-01T23:59:59.000Z

    This paper describes an energy audit performed in a 97,760 ft2 (9082 m2) academic building at the University of Texas at San Antonio (UTSA). The paper describes the building survey and a simulation of the building’s energy use using eQUEST software...

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

    E-Print Network [OSTI]

    Zhai, John Z.

    States, building services consume more than one third of the primary energy consumption and twoSolution characters of iterative coupling between energy simulation and CFD programs Zhiqiang Zhaia Massachusetts Avenue, Cambridge, MA 02139-4307, USA b School of Mechanical Engineering, Purdue University, 1288

  9. Simulation for the Optimal Design of a Biped Robot: Analysis of Energy Consumption

    E-Print Network [OSTI]

    Gini, Giuseppina

    Simulation for the Optimal Design of a Biped Robot: Analysis of Energy Consumption Federico Moro1 at Chicago, USA 3 University of Belgrade, Institute Mihajlo Pupin, Robotics Laboratory, Serbia Abstract. Our first aim is to develop a systematic method to estimate energy consumption of bipedal locomotion

  10. Evaluation of Energy Conservation Measures by Model Simulation 

    E-Print Network [OSTI]

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

    1998-01-01T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

    Smith, Graham

    1996-01-01T23:59:59.000Z

    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 ...

  12. Thermal Simulation of Advanced Powertrain Systems | 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 DataDepartment of Energy Your Density Isn'tOriginEducationVideoStrategic|Industrial Sector,Department of Energy (DOE)

  13. ThermoElectric Power System Simulator (TEPSS) | 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 DataDepartment of Energy Your Density Isn'tOriginEducationVideoStrategic|Industrial Sector,Department of Energy (DOE)Department

  14. Sandia Energy - Simulations Reveal Ion Dynamics in Polymer Electrolyte

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757KelleyEffectson the Cover ofSeminars Home

  15. 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

  16. Evaluation of Energy Conservation Measures by Model Simulation

    E-Print Network [OSTI]

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

    1998-01-01T23:59:59.000Z

    study. There was no real benefit from an economizer cycle for this building. Had simulation or some other studies been conducted, the additional cost of a temperature economizer might have been avoided. Reset of the hot and cold supply air... DDVAV air handler unit (see Figure 2) is housed in the basement, with a 200 hp motor producing up to 138,000 cfm of air for the second through eighth floors, as well as portions of the basement and first floor On the upper floors, the hot and cold...

  17. Simulation Models to Optimize the Energy Consumption of Buildings

    E-Print Network [OSTI]

    Burhenne, S.; Jacob, D.

    of building simulation important parameters are the occupancy and the control parameters. For a simple zone model the simple hourly method (SHM) according to ISO 13790 is used. This zone model is based on a five resistances and one capacitance (5R1C...) model (Figure 5). Figure 5. Five resistances, one capacitance (5R1C) model [ISO 13790:2007, p. 29] According to ISO 13790 the intention of the simple hourly method is to have a transparent, reproducible and robust model with a limited...

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

    SciTech Connect (OSTI)

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

    2008-08-13T23:59:59.000Z

    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.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of Contamination in ManyDepartment of Energy NorthB O|Work ForceNovemberofDepartment

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of Contamination in ManyDepartment of Energy NorthB O|Work

  1. Plasma Turbulence Simulations Reveal Promising Insight for Fusion Energy |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for RenewableSpeedingBiomassPPPOPetroleum38 (1996) A213-A225. Printed in thePrinceton

  2. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEE Jump to:Ohio:Ads-tec GmbH

  3. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEE Jump to:Ohio:Ads-tec GmbH

  4. PPPL physicists win supercomputing time to simulate key energy and

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for RenewableSpeedingBiomass and4/26/11:Tel.:162Physics| Princeton Plasma

  5. MOtor Vehicle Emission Simulator (MOVES) | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose Bend < MHKconverter <WAG BuoyYOG <

  6. Simulation Problem Analysis and Research Kernel | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |Rippey JumpAirPowerSilcio SA JumpProjectProblem Analysis

  7. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole IncMinuteman WindMoana Geothermal AreaImpactsGritto

  8. Motor Vehicle Emission Simulator (MOVES) | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLu anMicrogreenMoon Lake ElectricInformationMoserVehicle

  9. Vehicle and Systems Simulation and 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 DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and03/02Report | Department of| Department ofReportProgram

  10. Vehicle and Systems Simulation and 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 DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and03/02Report | Department of| Department ofReportProgram10 DOE

  11. Vehicle and Systems Simulation and 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 DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and03/02Report | Department of| Department ofReportProgram10

  12. Sandia Energy - Numerical Simulations of Hydrokinetics in the Roza Canal,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757Kelley RuehlReport Posted North AmericanStudy

  13. GridLab Power Distribution System Simulation | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating AGeothermal/ExplorationGoods | OpenInformation BestInformationGridLab

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

    SciTech Connect (OSTI)

    Hong, T.; Shen, E.

    2009-11-01T23:59:59.000Z

    The purpose of this study is to use existing simulation tools to quantify the energy savings benefits of integrated control in office buildings. An EnergyPlus medium office benchmark simulation model (V1.0_3.0) developed by the Department of Energy (DOE) was used as a baseline model for this study. The baseline model was modified to examine the energy savings benefits of three possible control strategies compared to a benchmark case across 16 DOE climate zones. Two controllable subsystems were examined: (1) dimming of electric lighting, and (2) controllable window transmission. Simulation cases were run in EnergyPlus V3.0.0 for building window-to-wall ratios (WWR) of 33percent and 66percent. All three strategies employed electric lighting dimming resulting in lighting energy savings in building perimeter zones ranging from 64percent to 84percent. Integrated control of electric lighting and window transmission resulted in heating, ventilation, and air conditioning (HVAC) energy savings ranging from ?1percent to 40percent. Control of electric lighting and window transmission with HVAC integration (seasonal schedule of window transmission control) resulted in HVAC energy savings ranging from 3percent to 43percent. HVAC energy savings decreased moving from warm climates to cold climates and increased when moving from humid, to dry, to marine climates.

  15. Simulations of slow positron production using a low-energy electron accelerator

    SciTech Connect (OSTI)

    O'Rourke, B. E.; Kinomura, A.; Kuroda, R.; Ohdaira, T.; Oshima, N.; Suzuki, R. [National Institute of Advanced Industrial Science and Technology (AIST), AIST-Central 2, 1-1-1 Umezono, Tsukuba, Ibaraki 305-8568 (Japan); Hayashizaki, N. [Tokyo Institute of Technology, Research Laboratory for Nuclear Reactors, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8550 (Japan); Minehara, E. J. [The Wakasa Wan Energy Research Centre, 64-52-1 Nagatani, Tsuruga, Fukui 941-0821 (Japan)

    2011-06-15T23:59:59.000Z

    Monte Carlo simulations of slow positron production via energetic electron interaction with a solid target have been performed. The aim of the simulations was to determine the expected slow positron beam intensity from a low-energy, high-current electron accelerator. By simulating (a) the fast positron production from a tantalum electron-positron converter and (b) the positron depth deposition profile in a tungsten moderator, the slow positron production probability per incident electron was estimated. Normalizing the calculated result to the measured slow positron yield at the present AIST linear accelerator, the expected slow positron yield as a function of energy was determined. For an electron beam energy of 5 MeV (10 MeV) and current 240 {mu}A (30 {mu}A), production of a slow positron beam of intensity 5 x 10{sup 6} s{sup -1} is predicted. The simulation also calculates the average energy deposited in the converter per electron, allowing an estimate of the beam heating at a given electron energy and current. For low-energy, high-current operation the maximum obtainable positron beam intensity will be limited by this beam heating.

  16. 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.

    1996-01-01T23:59:59.000Z

    using the DOE-2.1E building enegy simulation program to model a 1,000 bed case study correctional unit located in Texas. INTRODUCTION The Texas Department of Criminal Justice (TDCJ) Stephenson unit located in Cuero, Texas was N. Saman, Ph.D., P... building enegy simulation program (LBL 1980; 1981; 1982; 1989; 1994). The second part of the project included evaluating the energy consumption of this prototype unit. This paper presents a methodology that may be used to view and improve simulation...

  17. Computer simulation studies of high energy collision cascades

    SciTech Connect (OSTI)

    Robinson, M.T.

    1991-07-01T23:59:59.000Z

    A modified binary collision approximation allowing the proper order of the collisions in time was used to study cascades in Cu and Au at primary kinetic energies up to 100 keV. Nonlinearities were approximated by letting already-stopped cascade atoms become targets in later collisions, using an improved method of locating potential targets to extend the calculations to energies much higher than heretofore. Beside the effect of the approximate nonlinearity, the effect of thermal disorder in the targets was examined. Target redisplacements reduce the damage in Cu by 3% at most, but in Au they reduce it by amounts up to 20% at 100 keV. Thermal disorder is also important: by disrupting crystal effects, the damage is reduced significantly. 11 refs., 4 figs.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand RequirementsCoatings Initiated at PNNL's Sequim

  19. 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 DataDepartment of Energy Your Density Isn't Your Destiny: The Future of1Albuquerque, NMPerformance |Should KnowCompressorDepartment

  20. 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 DataDepartment of Energy Your Density Isn't Your Destiny: The Future of1Albuquerque, NMPerformance |Should

  1. Macroscopic/microscopic simulation of nuclear reactions at intermediate energies. Denis Lacroix, Aymeric Van Lauwe and Dominique Durand

    E-Print Network [OSTI]

    Boyer, Edmond

    Macroscopic/microscopic simulation of nuclear reactions at intermediate energies. Denis Lacroix- tion of nuclear collisions in the intermediate energy range is presented. The model simulates events for reactions close to the fusion barrier (5-10 MeV/A) up to higher energy (100 MeV/A) and it gives access

  2. Review of simulation techniques for aquifer thermal energy storage (ATES)

    SciTech Connect (OSTI)

    Mercer, J.W.; Faust, C.R.; Miller, W.J.; Pearson, F.J. Jr.

    1981-03-01T23:59:59.000Z

    The storage of thermal energy in aquifers has recently received considerable attention as a means to conserve and more efficiently use energy supplies. The analysis of aquifer thermal energy storage (ATES) systems will rely on the results from mathematical and geochemical models. Therefore, the state-of-the-art models relevant to ATES was reviewed and evaluated. These models describe important processes active in ATES including ground-water flow, heat transport (heat flow), solute transport (movement of contaminants), and geochemical reactions. In general, available models of the saturated ground-water environment are adequate to address most concerns associated with ATES; that is, design, operation, and environmental assessment. In those cases where models are not adequate, development should be preceded by efforts to identify significant physical phenomena and relate model parameters to measurable quantities. Model development can then proceed with the expectation of an adequate data base existing for the model's eventual use. Review of model applications to ATES shows that the major emphasis has been on generic sensitivity analysis and site characterization. Assuming that models are applied appropriately, the primary limitation on model calculations is the data base used to construct the model. Numerical transport models are limited by the uncertainty of subsurface data and the lack of long-term historical data for calibration. Geochemical models are limited by the lack of thermodynamic data for the temperature ranges applicable to ATES. Model applications undertaken with data collection activities on ATES sites should provide the most important contributions to the understanding and utilization of ATES. Therefore, the primary conclusion of this review is that model application to field sites in conjunction with data collection activities is essential to the development of this technology.

  3. Fact Sheet on NCAR Simulations | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic Plan| Department of.pdf6-OPAMDepartment6 FY 2007FYFacility SoftwareSNL OnSheet

  4. Revamped Simulation Tool to Power Up Wave Energy Development | Department

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM615_CostNSAR -DepartmentRetail Demand Response in SouthwestReturn

  5. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home Distribution GridDocuments Home StationaryFAQs

  6. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home DistributionTransportation Safety Home StationaryUpper Rio Grande

  7. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebookScholarship Fund3 Outlook for Gulf

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

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial602 1,39732onMake Your NextHow EMMinutes: EMMission MissionRidge

  9. Lab Breakthrough: Asteroid Killer Simulation | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |Is Your Home asLCLS Experimental RunProcedure Doc.LTSAsteroid Killer

  10. Fact Sheet on NCAR Simulations | 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 DataDepartment of Energy Your Density Isn't YourTransport in RepresentativeDepartment ofDepartmentLast TenPrice of|SNL On May 27,

  11. Sandia Energy - CINT Computer Simulation Guide for Designing Polymeric

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand RequirementsCoatings Initiated at PNNL's Sequim Bay CoatingsBuilding

  12. Sandia Energy - Computational Fluid Dynamics Simulations Provide Insight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand RequirementsCoatings Initiated at PNNL's Sequim BayCaptureCloud Computingfor Rotor

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand RequirementsCoatings Initiated at PNNL's SequimReactors To Receive Up To $121.5M Over

  14. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand RequirementsCoatingsUltra-High-VoltagePower Company's (ORPC's) TidGen®

  15. NREL: Energy Storage - Battery Lifetime Analysis and Simulation Tool Suite

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Saleshttp://www.fnal.gov/directorate/nalcal/nalcal02_07_05_files/nalcal.gifNRELPowerNewsletterAcademy AlumniNewsLifetime

  16. Heavy Duty Vehicle 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 DataDepartment of Energy Your Density Isn't YourTransport(Fact Sheet), GeothermalGridHYDROGEN TO THEHudson HazleRyanCombustion (HECC)&

  17. Heavy Duty Vehicle Modeling and 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 DataDepartment of Energy Your Density Isn't YourTransport(Fact Sheet), GeothermalGridHYDROGEN TO THEHudson HazleRyanCombustion

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(Fact Sheet), GeothermalGridHYDROGEND D e e p p aDepartmentUpdate Webinarfor

  19. 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 onYouTube YouTube Note: Since the.pdfBreaking ofOil &315_ArnibanPriorityof Energy Poneman ||

  20. Simulations of slow positron production using a low energy electron accelerator

    E-Print Network [OSTI]

    O'Rourke, B E; Kinomura, A; Kuroda, R; Minehara, E; Ohdaira, T; Oshima, N; Suzuki, R

    2011-01-01T23:59:59.000Z

    Monte Carlo simulations of slow positron production via energetic electron interaction with a solid target have been performed. The aim of the simulations was to determine the expected slow positron beam intensity from a low energy, high current electron accelerator. By simulating (a) the fast positron production from a tantalum electron-positron converter and (b) the positron depth deposition profile in a tungsten moderator, the slow positron production probability per incident electron was estimated. Normalizing the calculated result to the measured slow positron yield at the present AIST LINAC the expected slow positron yield as a function of energy was determined. For an electron beam energy of 5 MeV (10 MeV) and current 240 $\\mu$A (30 $\\mu$A) production of a slow positron beam of intensity 5 $\\times$ 10$^{6}$ s$^{-1}$ is predicted. The simulation also calculates the average energy deposited in the converter per electron, allowing an estimate of the beam heating at a given electron energy and current. For...

  1. Automatic Calibration of a Building Energy Simulation Model Using a Global Optimization Program

    E-Print Network [OSTI]

    Lee, S. U.; Claridge, D.

    2002-01-01T23:59:59.000Z

    buildings, Proceedings of the ACEEE 1992 Summer Study on Energy Efficiency in Buildings, 1, 137-147. Kaplan, M.B., Jones, B., Jansen, J., 1990. DOE- 2.1C Model calibration with monitored end-use data, Proceedings of the ACEEE 1990 Summer Study on Energy....E. Professor Texas A&M University Energy Systems Laboratory College Station, TX ABSTRACT A simulation model used to analyze the energy performance of an existing building should be calibrated to measured consumption data from...

  2. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of EnergySimulations2010)Et

  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.

    2013-01-02T23:59:59.000Z

    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. 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.

    2002-01-01T23:59:59.000Z

    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...

  5. Home energy rating system building energy simulation test (HERS BESTEST): Volume 1, Tier 1 and Tier 2 tests user's manual

    SciTech Connect (OSTI)

    Judkoff, R.; Neymark, J.

    1995-11-01T23:59:59.000Z

    The Home Energy Rating System (HERS) Building Energy Simulation Test (BESTEST) is a method for evaluating the credibility of software used by HERS to model energy use in buildings. The method provides the technical foundation for ''certification of the technical accuracy of building energy analysis tools used to determine energy efficiency ratings,'' as called for in the Energy Policy Act of 1992 (Title I, subtitle A,l Section 102, Title II, Part 6, Section 271). Certification is accomplished with a uniform set of test cases that facilitate the comparison of a software tool with several of the best public-domain, state-of-the-art building energy simulation programs available in the United States. This set of test cases represents the Tier 1 and Tier 2 Tests for Certification of Rating Tools as described in DOE 10 CFR Part 437 and the HERS Council Guidelines for Uniformity (HERS Council). A third Tier of tests not included in this document is also planned.

  6. Energy Spectra of Quantum Turbulence: Large-scale Simulation and Modeling

    E-Print Network [OSTI]

    Machida, Masahiko; Kano, Takuma; L'vov, Victor S; Rudenko, Oleksii; Tsubota, Makoto

    2010-01-01T23:59:59.000Z

    In 2048^3 simulation of quantum turbulence within the Gross-Pitaevskii equation we demonstrate that the large scale motions have a classical Kolmogorov-1941 energy spectrum E(k) ~ k^{-5/3}, followed by an energy accumulation with E(k) ~ const at 1/k about the mean intervortex distance. This behavior was predicted by the L'vov-Nazarenko-Rudenko bottleneck model [Phys.Rev.B 76, 024520 (2007)], further developed in the Letter.

  7. MAGNETOACOUSTIC WAVE ENERGY FROM NUMERICAL SIMULATIONS OF AN OBSERVED SUNSPOT UMBRA

    SciTech Connect (OSTI)

    Felipe, T.; Khomenko, E.; Collados, M., E-mail: tobias@iac.es [Instituto de Astrofisica de Canarias, 38205, C/Via Lactea, s/n, La Laguna, Tenerife (Spain)

    2011-07-01T23:59:59.000Z

    We aim at reproducing the height dependence of sunspot wave signatures obtained from spectropolarimetric observations through three-dimensional MHD numerical simulations. A magnetostatic sunspot model based on the properties of the observed sunspot is constructed and perturbed at the photosphere, introducing the fluctuations measured with the Si I {lambda}10827 line. The results of the simulations are compared with the oscillations observed simultaneously at different heights from the He I {lambda}10830 line, the Ca II H core, and the Fe I blends in the wings of the Ca II H line. The simulations show a remarkable agreement with the observations. They reproduce the velocity maps and power spectra at the formation heights of the observed lines, as well as the phase and amplification spectra between several pairs of lines. We find that the stronger shocks at the chromosphere are accompanied with a delay between the observed signal and the simulated one at the corresponding height, indicating that shocks shift the formation height of the chromospheric lines to higher layers. Since the simulated wave propagation matches very well the properties of the observed one, we are able to use the numerical calculations to quantify the energy contribution of the magnetoacoustic waves to the chromospheric heating in sunspots. Our findings indicate that the energy supplied by these waves is too low to balance the chromospheric radiative losses. The energy contained at the formation height of the lowermost Si I {lambda}10827 line in the form of slow magnetoacoustic waves is already insufficient to heat the higher layers, and the acoustic energy which reaches the chromosphere is around 3-9 times lower than the required amount of energy. The contribution of the magnetic energy is even lower.

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

    E-Print Network [OSTI]

    Ahmed Ibrahim; Kazunari Shibata

    2007-04-23T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    the wall cavities were not insulated during construction or where the insulating material has settled properties of building materials, insulation levels, and the temperature dependence of conduction throughNREL researchers discover ways to increase accuracy in building energy simulations tools to improve

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

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    in the modelling language Modelica. The library contains a mixture of models developed from physical principles: Automotive Control, Energy Management Systems, Computer Simulation, Modelica. 1 This work is supported the ideas behind development and maintenance of a comprehensive model library are presented. The Modelica

  11. 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, a model library is developed in the modelling language Modelica. The library contains a mixture of models library are presented. The Modelica language is used to build models with a modular structure. Figure 1

  12. 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

  13. 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

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

    E-Print Network [OSTI]

    Ford, Andrew

    2007-01-01T23:59:59.000Z

    Energy Policy 35 (2007) 91­111 Simulating price patterns for tradable green certificates to promote to these high prices with construction of new wind capacity. After a few years, wind generation meets the market opens. Investors react to these high prices with construction of new wind capacity, and total

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

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

    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...

  17. 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 The resulting data is presented from a variety of angles, including the relative impacts of water heater ratingSimulation of energy use in residential water heating systems by Carolyn Dianarose Schneyer B

  18. 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.

    2006-01-01T23:59:59.000Z

    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...

  19. 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.

    2010-01-01T23:59:59.000Z

    increasing the cooling load due to its heat dissipation. Proper design for the maximization of natural light helps reduce the use of artificial lights and results in reduction in the buildings energy consumption. Computer simulation of the lighting and energy...

  20. 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.

    2006-01-01T23:59:59.000Z

    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...

  1. Simulations Data Simulation Type

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    to request different simulations data. The flow chart above demonstrates the different steps and options@ornl.gov) Autotune Drupal 7 CMS Current building energy models (BEMs), using EnergyPlus or other simulations, are unreliable because they have to constantly be calibrated to match actual energy usage data. Currently

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

    SciTech Connect (OSTI)

    Rhodes, M; Lundquist, J K

    2011-09-21T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Bourassa, Norman; Haves, Philip; Huang, Joe

    2002-05-17T23:59:59.000Z

    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.

  4. 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.

    2006-01-01T23:59:59.000Z

    of simulated energy consumption can match the measured data. The simulation accuracy of room air temperature and energy consumption during the air-conditioner start-up period is not good and needs to be improved in future research. But in general...

  5. 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-rate Pontryagin's minimum principle Simulated annealing State of health a b s t r a c t In this paper, an energy

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

    SciTech Connect (OSTI)

    Gary, S Peter [Los Alamos National Laboratory; Winske, Dan [Los Alamos National Laboratory; Wu, Pin [BOSTON UNIV.; Schwadron, N A [BOSTON UNIV.; Lee, M [UNIV OF NEW HAMPSHIRE

    2009-01-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Belzer, David B.

    2010-08-01T23:59:59.000Z

    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.

  8. 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

    2014-02-28T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Cho, S.; Haberl, J.

    to achieve further energy consumption reductions. To accomplish this, the F- Chart program was used for the solar thermal system analysis and the PV F-Chart program for the solar photovoltaic (PV) system analysis. Authors show how DOE-2.1e simulation... Time series plots of space heating and service hot water loads from SYSTEMS and PLANT simulation runs Due to the fact that the solar thermal systems analysis program, F-Chart, takes into account the system efficiencies in its loads calculation...

  10. 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.

    2012-01-01T23:59:59.000Z

    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...

  11. 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)

    2014-01-01T23:59:59.000Z

    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.

  12. 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

    2013-06-13T23:59:59.000Z

    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.

  13. 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.

    2005-01-01T23:59:59.000Z

    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...

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

    SciTech Connect (OSTI)

    Schultz, Peter Andrew

    2011-12-01T23:59:59.000Z

    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.

  15. 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

    2013-09-26T23:59:59.000Z

    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.

  16. 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

    2008-12-20T23:59:59.000Z

    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.

  17. 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

    2004-03-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    2011-11-01T23:59:59.000Z

    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).

  19. 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

    2011-06-13T23:59:59.000Z

    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.

  20. 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

    2009-07-22T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Kimberlyn C. Mousseau

    2011-10-01T23:59:59.000Z

    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.

  2. 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.

    2010-08-01T23:59:59.000Z

    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.

  3. Social Game for Building Energy Efficiency: Utility Learning, Simulation, and Analysis

    E-Print Network [OSTI]

    Konstantakopoulos, Ioannis C; Ratliff, Lillian J; Jin, Ming; Sastry, S. Shankar; Spanos, Costas J

    2014-01-01T23:59:59.000Z

    Efficiency: Utility Learning, Simulation, and Analysisthe utility learning problem as well as simulation of the

  4. Expand the Modeling Capabilities of DOE's EnergyPlus Building Energy Simulation Program

    SciTech Connect (OSTI)

    Don Shirey

    2008-02-28T23:59:59.000Z

    EnergyPlus{trademark} is a new generation computer software analysis tool that has been developed, tested, and commercialized to support DOE'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. Version 1.0 of EnergyPlus was released in April 2001, followed by semiannual updated versions over the ensuing seven-year period. This report summarizes work performed by the University of Central Florida's Florida Solar Energy Center (UCF/FSEC) to expand the modeling capabilities of EnergyPlus. The project tasks involved implementing, testing, and documenting the following new features or enhancement of existing features: (1) A model for packaged terminal heat pumps; (2) A model for gas engine-driven heat pumps with waste heat recovery; (3) Proper modeling of window screens; (4) Integrating and streamlining EnergyPlus air flow modeling capabilities; (5) Comfort-based controls for cooling and heating systems; and (6) An improved model for microturbine power generation with heat recovery. UCF/FSEC located existing mathematical models or generated new model for these features and incorporated them into EnergyPlus. The existing or new models were (re)written using Fortran 90/95 programming language and were integrated within EnergyPlus in accordance with the EnergyPlus Programming Standard and Module Developer's Guide. Each model/feature was thoroughly tested and identified errors were repaired. Upon completion of each model implementation, the existing EnergyPlus documentation (e.g., Input Output Reference and Engineering Document) was updated with information describing the new or enhanced feature. Reference data sets were generated for several of the features to aid program users in selecting proper model inputs. An example input data file, suitable for distribution to EnergyPlus users, was created for each new or improved feature to illustrate the input requirements for the model.

  5. 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.

    2006-01-01T23:59:59.000Z

    is about 3% more accurate than the model of Level 1 and 2. 1. INTRODUCTION It is important to propose an objective and rational method to evaluate energy savings caused by the implementation of Commissioning or the retrofit conducted by ESCO (Energy... be calibrated using measured data in order to make them accurate enough. Because the accuracy calibration needs detailed operational data in general and it seems difficult to obtain such data before the implementation of commissioning or ESCO retrofit...

  6. 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.

    2012-08-01T23:59:59.000Z

    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.

  7. 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 the value and usefulness of SIMES for designing energy-aware facili- ties and products. Keywords Hybrid State-of-the-art electrical energy storage (EES) systems are mainly homogeneous, i.e., they consist

  8. 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 energy-aware network transaction protocol that dynamically redistributes the computational workload among for detailed evaluation of the performance of different energy management policies in a MANET. Next it presents

  9. 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

  10. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries PvtStratosolarTharaldson Ethanol LLC Jump to:Uncertainty of1801Finance | OpenQuick

  11. Simulation of wind-speed time series for wind-energy conversion analysis.

    SciTech Connect (OSTI)

    Corotis, R.B.

    1982-06-01T23:59:59.000Z

    In order to investigate operating characteristics of a wind energy conversion system it is often desirable to have a sequential record of wind speeds. Sometimes a long enough actual data record is not available at the time an analysis is needed. This may be the case if, e.g., data are recorded three times a day at a candidate wind turbine site, and then the hourly performance of generated power is desired. In such cases it is often possible to use statistical characteristics of the wind speed data to calibrate a stochastic model and then generate a simulated wind speed time series. Any length of record may be simulated by this method, and desired system characteristics may be studied. A simple wind speed simulation model, WEISIM, is developed based on the Weibull probability distribution for wind speeds with a correction based on the lag-one autocorrelation value. The model can simulate at rates from one a second to one an hour, and wind speeds can represent short-term averages (e.g., 1-sec averages) or longer-term averages (e.g., 1-min or 1 hr averages). The validity of the model is verified with PNL data for both histogram characteristics and persistance characteristics.

  12. 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

    2008-02-18T23:59:59.000Z

    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.

  13. Varying trends in surface energy fluxes and associated climate between 1960 and 2002 based on transient climate simulations

    E-Print Network [OSTI]

    Varying trends in surface energy fluxes and associated climate between 1960 and 2002 based have analyzed transient climate simulations from 1960 to 2002 with and without anthropogenic aerosols and associated climate between 1960 and 2002 based on transient climate simulations, Geophys. Res. Lett., 32, L

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

    E-Print Network [OSTI]

    James M. Polson; Logan G. Montgomery

    2014-10-09T23:59:59.000Z

    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.

  15. 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.

    2006-01-01T23:59:59.000Z

    For the purpose of developing optimized control algorithm for room air-conditioners to ensure their energy efficiency, a short time interval (i.e., one minute) simulation of building thermal performance is necessary because the sampling time...

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

    E-Print Network [OSTI]

    Estupińán, A; Núńez, L A

    2015-01-01T23:59:59.000Z

    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 $10^{15} < E/\\mathrm{eV} < 10^{17}$.

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

    SciTech Connect (OSTI)

    K. Gering

    2014-09-01T23:59:59.000Z

    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

  18. Simulation of a STOL airlifter in wind shear, using total energy and glideslope angular error methods for glidepath control

    E-Print Network [OSTI]

    Johnson, Eric William

    1988-01-01T23:59:59.000Z

    SIMULATION OF A STOL AIRLIFTER IN WIND SHEAR, USING TOTAL ENERGY AND GLIDESLOPE ANGULAR ERROR METHODS FOR GLIDEPATH CONTROL A Thesis by ERIC WILLIAM JOHNSON Submitted to the Graduate College of Texas A&M University in partial fulfillment... of the requirements for the degree of MASTER OF SCIENCE May 1988 Major Subject: Aerospace Engineering SIMULATION OF A STOL AIRLIFTER IN WIND SHEAR, USING TOTAL ENERGY AND GLIDESLOPE ANGULAR ERROR METHODS FOR GLIDEPATH CONTROL A Thesis by ERIC WILLIAM JOHNSON...

  19. System Modeling and Building Energy Simulations of Gas Engine Driven Heat Pump

    SciTech Connect (OSTI)

    Mahderekal, Isaac [Oak Ridge National Laboratory (ORNL); Vineyard, Edward [Oak Ridge National Laboratory (ORNL)

    2013-01-01T23:59:59.000Z

    To improve the system performance of a gas engine driven heat pump (GHP) system, an analytical modeling and experimental study has been made by using desiccant system in cooling operation (particularly in high humidity operations) and suction line waste heat recovery to augment heating capacity and efficiency. The performance of overall GHP system has been simulated with a detailed vapor compression heat pump system design model. The modeling includes: (1) GHP cycle without any performance improvements (suction liquid heat exchange and heat recovery) as a baseline (both in cooling and heating mode), (2) the GHP cycle in cooling mode with desiccant system regenerated by waste heat from engine incorporated, (3) GHP cycle in heating mode with heat recovery (recovered heat from engine). According to the system modeling results, by using the desiccant system the sensible heat ratio (SHR- sensible heat ratio) can be lowered to 40%. The waste heat of the gas engine can boost the space heating efficiency by 25% at rated operating conditions. In addtion,using EnergyPlus, building energy simulations have been conducted to assess annual energy consumptions of GHP in sixteen US cities, and the performances are compared to a baseline unit, which has a electrically-driven air conditioner with the seasonal COP of 4.1 for space cooling and a gas funace with 90% fuel efficiency for space heating.

  20. Energy Simulation of Integrated Multiple-Zone Variable Refrigerant Flow System

    SciTech Connect (OSTI)

    Shen, Bo [ORNL] [ORNL; Rice, C Keith [ORNL] [ORNL; Baxter, Van D [ORNL] [ORNL

    2013-01-01T23:59:59.000Z

    We developed a detailed steady-state system model, to simulate the performance of an integrated five-zone variable refrigerant flow (VRF)heat pump system. The system is multi-functional, capable of space cooling, space heating, combined space cooling and water heating, and dedicated water heating. Methods were developed to map the VRF performance in each mode, based on the abundant data produced by the equipment system model. The performance maps were used in TRNSYS annual energy simulations. Using TRNSYS, we have successfully setup and run cases for a multiple-split, VRF heat pump and dehumidifier combination in 5-zone houses in 5 climates that control indoor dry-bulb temperature and relative humidity. We compared the calculated energy consumptions for the VRF heat pump against that of a baseline central air source heat pump, coupled with electric water heating and the standalone dehumidifiers. In addition, we investigated multiple control scenarios for the VRF heat pump, i.e. on/off control, variable indoor air flow rate, and using different zone temperature setting schedules, etc. The energy savings for the multiple scenarios were assessed.

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

    SciTech Connect (OSTI)

    Rich Johnson; Kimberlyn C. Mousseau; Hyung Lee

    2011-09-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Rydzewski, Jakub; Nowak, Wieslaw

    2015-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Yuehong Xie

    2009-04-29T23:59:59.000Z

    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.

  4. 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.

    2013-02-01T23:59:59.000Z

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

    SciTech Connect (OSTI)

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

    2014-11-01T23:59:59.000Z

    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.

  6. The Global Nuclear Futures Model: A Dynamic Simulation Tool for Energy Strategies

    SciTech Connect (OSTI)

    Bixler, N.E. [Sandia National Laboratories, Albuquerque, NM 87185-0748 (United States)

    2002-07-01T23:59:59.000Z

    The Global Nuclear Futures Model (GNFM) is a dynamic simulation tool that provides an integrated framework to model key aspects of nuclear energy, nuclear materials storage and disposition, global nuclear materials management, and nuclear proliferation risk. It links nuclear energy and other energy shares dynamically to greenhouse gas emissions and twelve other measures of environmental impact. It presents historical data from 1990 to 2000 and extrapolates energy demand through the year 2050. More specifically, it contains separate modules for energy, the nuclear fuel cycle front end, the nuclear fuel cycle back end, defense nuclear materials, environmental impacts, and measures of the potential for nuclear proliferation. It is globally integrated but also breaks out five regions of the world so that environmental impacts and nuclear proliferation concerns can be evaluated on a regional basis. The five regions are the United States of America (USA), The Peoples Republic of China (China), the former Soviet Union (FSU), the OECD nations excluding the USA, and the rest of the world (ROW). (author)

  7. 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.

    2012-02-01T23:59:59.000Z

    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).

  8. Virtually simulating the next generation of clean energy technologies: NETL's AVESTAR Center is dedicated to the safe, reliable and efficient operation of advanced energy plants with carbon capture

    SciTech Connect (OSTI)

    Zitney, S.

    2012-01-01T23:59:59.000Z

    Imagine using a real-time virtual simulator to learn to fly a space shuttle or rebuild your car's transmission without touching a piece of equipment or getting your hands dirty. Now, apply this concept to learning how to operate and control a state-of-the-art, electricity-producing power plant capable of carbon dioxide (CO{sub 2}) capture. That's what the National Energy Technology Laboratory's (NETL) Advanced Virtual Energy Simulation Training and Research (AVESTAR) Center (www.netl.doe.gov/avestar) is designed to do. Established as part of the Department of Energy's (DOE) initiative to advance new clean energy technology for power generation, the AVESTAR Center focuses primarily on providing simulation-based training for process engineers and energy plant operators, starting with the deployment of a first-of-a-kind operator training simulator for an integrated gasification combined cycle (IGCC) power plant with CO{sub 2} capture. 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. Based on Invensys Operations Management's SimSci-Esscor DYNSIM software, the high-fidelity dynamic simulator provides realistic training on IGCC plant operations, including normal and faulted operations, as well as plant start-up, shutdown and power demand load changes. The highly flexible simulator also allows for testing of different types of fuel sources, such as petcoke and biomass, as well as co-firing fuel mixtures. The IGCC dynamic simulator is available at AVESTAR's two locations, NETL (Figure 1) and West Virginia University's National Research Center for Coal and Energy (www.nrcce.wvu.edu), both in Morgantown, W.Va. By offering a comprehensive IGCC training program, AVESTAR aims to develop a workforce well prepared to operate, control and manage commercial-scale gasification-based power plants with CO{sub 2} capture. The facility and simulator at West Virginia University promotes NETL's outreach mission by offering hands-on simulator training and education to researchers and university students.

  9. 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.

    2006-01-01T23:59:59.000Z

    - performance glazing technology pushed researchers at LBNL to develop new and more sophisticated algorithms for fenestration simulation software (Arasteh et al. 1998). Research by Rubin (1982a, 1982b) and later Arasteh et al. (1989) played a key role... performance of fenestration systems under realistic conditions and compared the results with those obtained from the Lawrence Berkeley National Laboratories (LBNL) simulation models (Klems 1989; Klems et al. 1995). DOE-2.1e gives several options...

  10. SIMULATION RESULTS OF RUNNING THE AGS MMPS, BY STORING ENERGY IN CAPACITOR BANKS.

    SciTech Connect (OSTI)

    MARNERIS, I.

    2006-09-01T23:59:59.000Z

    The Brookhaven AGS is a strong focusing accelerator which is used to accelerate protons and various heavy ion species to equivalent maximum proton energy of 29 GeV. The AGS Main Magnet Power Supply (MMPS) is a thyristor control supply rated at 5500 Amps, +/-go00 Volts. The peak magnet power is 49.5 Mwatts. The power supply is fed from a motor/generator manufactured by Siemens. The motor is rated at 9 MW, input voltage 3 phase 13.8 KV 60 Hz. The generator is rated at 50 MVA its output voltage is 3 phase 7500 Volts. Thus the peak power requirements come from the stored energy in the rotor of the motor/generator. The rotor changes speed by about +/-2.5% of its nominal speed of 1200 Revolutions per Minute. The reason the power supply is powered by the Generator is that the local power company (LIPA) can not sustain power swings of +/- 50 MW in 0.5 sec if the power supply were to be interfaced directly with the AC lines. The Motor Generator is about 45 years old and Siemens is not manufacturing similar machines in the future. As a result we are looking at different ways of storing energy and being able to utilize it for our application. This paper will present simulations of a power supply where energy is stored in capacitor banks. The simulation program used is called PSIM Version 6.1. The control system of the power supply will also be presented. The average power from LIPA into the power supply will be kept constant during the pulsing of the magnets at +/-50 MW. The reactive power will also be kept constant below 1.5 MVAR. Waveforms will be presented.

  11. Sputtering of lunar regolith simulant by protons and singly and multicharged Ar ions at solar wind energies

    E-Print Network [OSTI]

    for solar wind multi- charged ions having similar neutralization potential energies [1]. WeightedSputtering of lunar regolith simulant by protons and singly and multicharged Ar ions at solar wind energies F.W. Meyer a, , P.R. Harris a , C.N. Taylor a,1 , H.M. Meyer III b , A.F. Barghouty c , J.H. Adams

  12. InAs/InAsSb strain balanced superlattices for optical detectors: Material properties and energy band simulations

    E-Print Network [OSTI]

    Krishna, Sanjay

    InAs/InAsSb strain balanced superlattices for optical detectors: Material properties and energyAs/InAsSb strain balanced superlattices for optical detectors: Material properties and energy band simulations D February 2012) InAsSb/InAs type II strain balanced superlattices lattice matched to GaSb have recently been

  13. Monte-Carlo simulation for fragment mass and kinetic energy distributions from neutron induced fission of 235U

    E-Print Network [OSTI]

    Montoya, M; Rojas, J

    2007-01-01T23:59:59.000Z

    The mass and kinetic energy distribution of nuclear fragments from thermal neutron induced fission of 235U have been studied using a Monte-Carlo simulation. Besides reproducing the pronounced broadening on the standard deviation of the final fragment kinetic energy distribution $\\sigma_{e}(m)$ around the mass number m = 109, our simulation also produces a second broadening around m = 125, that is in agreement with the experimental data obtained by Belhafaf et al. These results are consequence of the characteristics of the neutron emission, the variation in the primary fragment mean kinetic energy and the yield as a function of the mass.

  14. Whole-Building Energy Simulation with a Three-Dimensional Ground-Coupled Heat Transfer Model: Preprint

    SciTech Connect (OSTI)

    Deru, M.; Judkoff, R.; Neymark, J.

    2002-08-01T23:59:59.000Z

    A three-dimensional, finite-element, heat-transfer computer program was developed to study ground-coupled heat transfer from buildings. It was used in conjunction with the SUNREL whole-building energy simulation program to analyze ground-coupled heat transfer from buildings, and the results were compared with the simple ground-coupled heat transfer models used in whole-building energy simulation programs. The detailed model provides another method of testing and refining the simple models and analyzing complex problems. This work is part of an effort to improve the analysis of the ground-coupled heat transfer in building energy simulation programs. The output from this detailed model and several others will form a set of reference results for use with the BESTEST diagnostic procedure. We anticipate that the results from the work will be incorporated into ANSI/ASHRAE 140-2001, Standard Method of Test for the Evaluation of Building Energy Analysis Computer Programs.

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

    E-Print Network [OSTI]

    Dong, Suchuan

    2015-01-01T23:59:59.000Z

    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...

  16. NREL Evaluates the Thermal Performance of Uninsulated Walls to Improve the Accuracy of Building Energy Simulation Tools (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-01-01T23:59:59.000Z

    This technical highlight describes NREL research to develop models of uninsulated wall assemblies that help to improve the accuracy of building energy simulation tools when modeling potential energy savings in older homes. Researchers at the National Renewable Energy Laboratory (NREL) have developed models for evaluating the thermal performance of walls in existing homes that will improve the accuracy of building energy simulation tools when predicting potential energy savings of existing homes. Uninsulated walls are typical in older homes where the wall cavities were not insulated during construction or where the insulating material has settled. Accurate calculation of heat transfer through building enclosures will help determine the benefit of energy efficiency upgrades in order to reduce energy consumption in older American homes. NREL performed detailed computational fluid dynamics (CFD) analysis to quantify the energy loss/gain through the walls and to visualize different airflow regimes within the uninsulated cavities. The effects of ambient outdoor temperature, radiative properties of building materials, and insulation level were investigated. The study showed that multi-dimensional airflows occur in walls with uninsulated cavities and that the thermal resistance is a function of the outdoor temperature - an effect not accounted for in existing building energy simulation tools. The study quantified the difference between CFD prediction and the approach currently used in building energy simulation tools over a wide range of conditions. For example, researchers found that CFD predicted lower heating loads and slightly higher cooling loads. Implementation of CFD results into building energy simulation tools such as DOE2 and EnergyPlus will likely reduce the predicted heating load of homes. Researchers also determined that a small air gap in a partially insulated cavity can lead to a significant reduction in thermal resistance. For instance, a 4-in. tall air gap (Figure 1a) led to a 15% reduction in resistance. Similarly, a 2-ft tall air gap (Figure 1c) led to 54% reduction in thermal resistance. NREL researchers plan to extend this study to include additional wall configurations, and also to evaluate the performance of attic spaces with different insulation levels. NREL's objective is to address each potential issue that leads to inaccuracies in building energy simulation tools to improve the predictions.

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

    SciTech Connect (OSTI)

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

    2013-09-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    David, Mathieu; Garde, Francois; Boyer, Harry

    2014-01-01T23:59:59.000Z

    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...

  19. 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

    2009-10-12T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    , Simulink and the Modelica modeling and simulation environment Dy- mola. The additions also allow executing

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

    SciTech Connect (OSTI)

    Bazjanac, Vladimir

    2007-08-01T23:59:59.000Z

    The U.S. National Institute for Building Sciences (NIBS) started the development of the National Building Information Model Standard (NBIMS). Its goal is to define standard sets of data required to describe any given building in necessary detail so that any given AECO industry discipline application can find needed data at any point in the building lifecycle. This will include all data that are used in or are pertinent to building energy performance simulation and analysis. This paper describes the background that lead to the development of NBIMS, its goals and development methodology, its Part 1 (Version 1.0), and its probable impact on building energy performance simulation and analysis.

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

    E-Print Network [OSTI]

    Coakley, Daniel; Raftery, Paul; Keane, Marcus

    2014-01-01T23:59:59.000Z

    2002: measurement of energy and demand savings. Atlanta, GAML. Measured and predicted energy demand of a low energy

  3. 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

  4. Numerical simulation of the plasma current quench following a disruptive energy loss

    SciTech Connect (OSTI)

    Strickler, D.J.; Peng, Y.K.M.; Holmes, J.A.; Miller, J.B.; Rothe, K.E.

    1983-11-01T23:59:59.000Z

    The plasma electromagnetic interaction with poloidal field coils and nearby passive conductor loops during the current quench following a disruptive loss of plasma energy is simulated. By solving a differential/algebraic system consisting of a set of circuit equations (including the plasma circuit) coupled to a plasma energy balance equation and an equilibrium condition, the electromagnetic consequences of an abrupt thermal quench are observed. Limiters on the small and large major radium sides of the plasma are assumed to define the plasma cross section. The presence of good conductors near the plasma and a small initial distance (i.e., 5 to 10% of the plasma minor radius) between the plasma edge and an inboard limiter are shown to lead to long current decay times. For a plasma with an initial major radius R/sub o/ = 4.3 m, aspect ratio A = 3.6, and current I/sub P/ = 4.0 MA, introducing nearby passive conductors lengthens the current decay from milliseconds to hundreds of milliseconds.

  5. Simulated Building Energy Performance of Single Family Detached Residences Designed for Off-Grid, Off-Pipe Operation 

    E-Print Network [OSTI]

    Malhotra, M.; Haberl, J.

    2010-01-01T23:59:59.000Z

    that are essential for its offgrid, off-pipe (i.e., utility-independent) operation. The analysis used a DOE-2.1e simulation model of a 2000/ 2001 IECC (International Energy Conservation Code) standard house as a base case in three climate locations: Minneapolis, MN...

  6. 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"

    for office buildings, but were limited for industrial buildings, where lighting is a major electricity [2]. For office buildings, artificial lighting consumes about 20-35% of the total building with EnergyPlus simulation program. The electricity saving potential for the On/Off control and the dimming

  7. 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

    2010-09-03T23:59:59.000Z

    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.

  8. BREATH Version 1.1, Coupled flow and energy transport in porous media: Simulator description and user guide

    SciTech Connect (OSTI)

    Stothoff, S.A.

    1995-07-01T23:59:59.000Z

    This document describes the BREATH computer code, including the mathematical and numerical formulation for the simulator, usage description, and sample input files with corresponding output files. The BREATH computer code is designed to simulate one-dimensional flow of a liquid phase and dispersive transport of the corresponding vapor species, coupled with energy transfer, in a heterogeneous porous medium. The BREATH simulator has been developed for use in auxiliary analyses which are a part of the Nuclear Regulatory Commission Iterative Performance Assessment program. The simulator was developed in response to the observation from Total System Performance Assessments by both the Nuclear Regulatory Commission and the US Department of Energy that total-system performance at the Yucca Mountain site in Nevada is highly sensitive to the infiltration rate. Accordingly, this first version of the code is primarily intended to simulate processes important to infiltration and evaporation in climatic and hydrologic near-surface environments representative of the Yucca Mountain site. The simulation model assumes that there is an immobile solid phase, a mobile liquid phase, and an optional infinitely mobile gas phase. The liquid may have an associated vapor species, assumed to be in equilibrium with the liquid phase. The vapor phase may only move via diffusion within the gas phase. Energy may be transported in the form of enthalpy, thermal conduction, and latent heat. The temperature range is assumed to be between 0 and 100{degree}C. Available boundary conditions include six liquid-phase conditions, four vapor-species conditions, and three energy conditions, all of which may be applied independently to either end of the domain. Meteorological conditions may also be input, thereby providing additional control over boundary fluxes. Boundary conditions may be updated as often as desired.

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

    E-Print Network [OSTI]

    -based whole building simulation program that displays graphi- cally the gas and electricity cost of building to deliver powerful build- ing performance simulation tools to precisely targeted audiences. Using interface design, the web has the potential to deliver powerful new building performance simulation tools

  10. 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

    2002-01-14T23:59:59.000Z

    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.

  11. A Monte-Carlo simulation of the equilibrium beam polarization in ultra-high energy electron(positron) storage rings

    E-Print Network [OSTI]

    Duan, Zhe; Barber, Desmond P; Qin, Qing

    2015-01-01T23:59:59.000Z

    With the recently emerging global interest in building a next generation of circular electron-positron colliders to study the properties of the Higgs boson, and other important topics in particle physics at ultra-high beam energies, it is also important to pursue the possibility of implementing polarized beams at this energy scale. It is therefore necessary to set up simulation tools to evaluate the beam polarization at these ultra-high beam energies. In this paper, a Monte-Carlo simulation of the equilibrium beam polarization based on the Polymorphic Tracking Code(PTC) is described. The simulations are for a model storage ring with parameters similar to those of proposed circular colliders in this energy range, and they are compared with the suggestion that there are different regimes for the spin dynamics underlying the polarization of a beam in the presence of synchrotron radiation at ultra-high beam energies. In particular, it has been suggested that the so-called "correlated" crossing of spin resonances ...

  12. 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

    2008-12-15T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Coakley, Daniel; Raftery, Paul; Keane, Marcus

    2014-01-01T23:59:59.000Z

    D. Coakley et al. / Renewable and Sustainable Energy Reviewsmodels. D. Coakley et al. / Renewable and Sustainable EnergyManual D. Coakley et al. / Renewable and Sustainable Energy

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

    E-Print Network [OSTI]

    Tsang, Chin Fu

    2013-01-01T23:59:59.000Z

    Auburn University Thermal Energy Storage , LBL No. 10194.Mathematical modeling of thermal energy storage in aquifers,of Current Aquifer Thermal Energy Storage Programs (in

  15. 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

    2006-01-01T23:59:59.000Z

    Schemes for sustainable energy systems”. InternationalPaths to promote Sustainable Energy Systems - The dynamicmoney - for promoting sustainable energy systems - be spent

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

    E-Print Network [OSTI]

    Bourassa, Norman; Haves, Philip; Huang, Joe

    2002-01-01T23:59:59.000Z

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

  17. Experiment and Simulation of Dynamic Voltage Regulation in Multiple Distributed Energy Resources Systems

    SciTech Connect (OSTI)

    Xu, Yan [ORNL; Li, Fangxing [ORNL; Kueck, John D [ORNL; Rizy, D Tom [ORNL

    2007-01-01T23:59:59.000Z

    Distributed energy (DE) resources are power sources located near load centers and equipped with power electronics converters to interface with the grid, therefore it is feasible for DE to provide reactive power (along with active power) locally for dynamic voltage regulation. In this paper, a synchronous condenser and a microturbine with an inverter interface are implemented in parallel in a distribution system to regulate the local voltage. Developed voltage control schemes for the inverter and the synchronous condenser are presented. Experimental results show that both the inverter and the synchronous condenser can regulate the local voltage instantaneously although the dynamic response of the inverter is much faster than the synchronous condenser. In a system with multiple DEs performing local voltage regulation, the interaction between the DEs is studied. The simulation results show the relationship between the voltages in the system and the reactive power required for the voltage regulation. Also, integrated voltage regulation (multiple DEs performing voltage regulation) can increase the voltage regulation capability of DEs and reduce the capital and operating costs.

  18. TAUOLA for simulation of tau decay and production: perspectives for precision low energy and LHC applications

    E-Print Network [OSTI]

    Zbigniew Was

    2011-01-09T23:59:59.000Z

    The status of Monte Carlo system for the simulation of tau-lepton production and decay in high-energy accelerator experiments is reviewed. Since previous tau-lepton conference in 2008 some practical modifications have been introduced: (i) For the TAUOLA Monte Carlo generator of tau-lepton decays, automated and simultaneous use of many versions of form-factors for the calculation of optional weights for fits was developped and checked to work in Belle and BaBar software environment. Work on alternative paramterizations of hadronic decays is advanced. (ii) the TAUOLA universal interface based on HepMC (the C++ event record) is now public. A similar interface for PHOTOS is now also public. (iii) Extension of PHOTOS Monte Carlo for QED bremsstrahlung in decays featuring kernels based on complete first order matrix element are gradually becoming widely available thanks to properites of the new, HepMC based interface. (iv) Tests of the programs systematized with the help of MC-TESTER are now available for FORTRAN and C++ users. Presented here results illustrate the status of the projects performed in collaboration with Nadia Davidson, Piotr Golonka, Gizo Nanava, Tomasz Przedzinski, Olga Shekhovtsova, El zbieta Richter-Was, Pablo Roig, Qingjun Xu and others.

  19. Using regression equations to determine the relative importance of inputs to energy simulation tools

    SciTech Connect (OSTI)

    O'Neill, P.J.; Crawley, D.B.; Schliesing, J.S.

    1991-08-01T23:59:59.000Z

    A set of statistical regression equations was developed to predict relative heating and cooling loads of external zones of commercial buildings. The equations were derived from the coil loads predicted by several thousand DOE-2 simulations. These equations formed the basis for the building envelope criteria in ASHRAE/IES Standard 90.1-1989, Energy Efficient Design of New Commercial Buildings Except Low-Rise Residential Buildings.'' Because these equations predict relative loads, they can be used to determine the relative importance of a broad range of envelope parameters across a variety of climate types. This paper presents the procedure used to develop the equations. The relative importance of all the major loads input variables are discussed for a sample office building, for a broad range of climates. A load sensitivity analysis is then performed, which permits direct comparison of key envelope parameters. The analysis results provide general guidance to DOE-2 users as to the relative importance of specific loads input variables. 6 refs., 8 figs.

  20. G. Vlad et al. 21st IAEA Fusion Energy Conference, 16 -21 October 2006 -Chengdu, China -paper TH/P6-4 1 Particle Simulation Analysis of

    E-Print Network [OSTI]

    Vlad, Gregorio

    simulations performed by the Hybrid MHD-Gyrokinetic Code (HMGC). #12;G. Vlad et al. 21st IAEA Fusion EnergyG. Vlad et al. 21st IAEA Fusion Energy Conference, 16 - 21 October 2006 - Chengdu, China - paper TH/P6-4 1 Particle Simulation Analysis of Energetic-Particle and Alfvén-Mode Dynamics in JT-60U

  1. Energy Efficiency in the Pulp and Paper Industry: Simulation of Steam Challenge and CHP Incentives with ITEMS

    E-Print Network [OSTI]

    Roop, J. M.

    in manufacturing as reported in the 1991 Manufacturing Energy Consumption Survey (MECS) (6). For simulation of the model, the major drivers are industry output and fuel prices (the latter may be taken from any of a number of publications; the simulations... for this paper use [7]). Output forecasts are derived from the technical appendix to the same source. The MECS data are used to calibrate the end uses for each industry and the fuel types for each industry. This is done with varying success. Food processing...

  2. 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.

    2012-08-01T23:59:59.000Z

    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.

  3. 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

    2009-09-16T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Wetter, Michael

    2012-01-01T23:59:59.000Z

    Michael Wetter, and Jan Hensen. Comparison of co-simulationTransactions, 104(1), Jan L. M. Hensen. A comparison of

  5. NREL Developing a Numerical Simulation Tool to Study Hydrokinetic Energy Conversion Devices and Arrays (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-02-01T23:59:59.000Z

    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.

  6. Energetics of Ion Permeation, Rejection, Binding, and Block in Gramicidin A from Free Energy Simulations

    E-Print Network [OSTI]

    Kuyucak, Serdar

    - tial way. Due to lack of structural information on membrane proteins, the initial efforts were mostly are optimized for globular proteins. Whether they can also be used in MD simulations of membrane proteins concentrated on simulations of globular proteins. An important exception here is the gramicidin A (gA) channel

  7. Vehicle Modeling and Simulation

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

    Vehicle Modeling and Simulation Vehicle Modeling and Simulation Matthew Thornton National Renewable Energy Laboratory matthewthornton@nrel.gov phone: 303.275.4273 Principal...

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

    E-Print Network [OSTI]

    Hong, T.

    2011-01-01T23:59:59.000Z

    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.

  9. ION BEAM HEATED TARGET SIMULATIONS FOR WARM DENSE MATTER PHYSICS AND INERTIAL FUSION ENERGY

    E-Print Network [OSTI]

    Barnard, J.J.

    2008-01-01T23:59:59.000Z

    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

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

    E-Print Network [OSTI]

    Tsang, Chin Fu

    2013-01-01T23:59:59.000Z

    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 ~~~~~~~

  11. 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

    2009-03-03T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Wetter, Michael

    2009-02-12T23:59:59.000Z

    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.

  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

    2011-09-01T23:59:59.000Z

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

    E-Print Network [OSTI]

    Wetter, Michael

    2012-01-01T23:59:59.000Z

    are Synchronous Data Flow (SDF) and Finite State Machines (FSM). We use SDF to control the communication of actors thatto simulation programs. In SDF, each actor is ?red when a ?

  15. 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.

    2006-01-01T23:59:59.000Z

    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 radiator heating room...

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

    E-Print Network [OSTI]

    Oh, Sukjoon

    2013-08-19T23:59:59.000Z

    , special features such as active and passive solar systems, photovoltaic systems, and lighting and daylighting systems. Unfortunately, many high performance buildings today do not perform the way they were simulated. One potential reason...

  17. Conservation of Energy Through The Use of a Predictive Performance Simulator of Operating Cooling Water Systems

    E-Print Network [OSTI]

    Schell, C. J.

    1981-01-01T23:59:59.000Z

    chemical treatment program for the prevention of corrosion, scale and deposit accumulations. Calgon has made available a computerized performance simulator of operating cooling water systems which reliably predicts system corrosion rates, percent scale...

  18. 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.

    2015-03-01T23:59:59.000Z

    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

  19. 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

    2011-02-01T23:59:59.000Z

    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.

  20. PSTAR: Primary and secondary terms analysis and renormalization: A unified approach to building energy simulations and short-term monitoring

    SciTech Connect (OSTI)

    Subbarao, K.

    1988-09-01T23:59:59.000Z

    This report presents a unified method of hourly simulation of a building and analysis of performance data. The method is called Primary and Secondary Terms Analysis and Renormalization (PSTAR). In the PSTAR method, renormalized parameters are introduced for the primary terms such that the renormalized energy balance equation is best satisfied in the least squares sense, hence, the name PSTAR. PSTAR allows extraction of building characteristics from short-term tests on a small number of data channels. These can be used for long-term performance prediction (''ratings''), diagnostics, and control of heating, ventilating, and air conditioning systems (HVAC), comparison of design versus actual performance, etc. By combining realistic building models, simple test procedures, and analysis involving linear equations, PSTAR provides a powerful tool for analyzing building energy as well as testing and monitoring. It forms the basis for the Short-Term Energy Monitoring (STEM) project at SERI.

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

    E-Print Network [OSTI]

    Zareen, Hadiba

    1996-01-01T23:59:59.000Z

    and responsive design solutions. Explicit representation of building design parameters are needed if computers are to be used to aid energy conscious design and evaluation. Energy calculation programs require data relating to building materials, occupancy...

  2. Determination of Retrofit Savings Using a Calibrated Building Energy Simulation Model

    E-Print Network [OSTI]

    Reddy, S. N.; Hunn, B. D.; Hood, D. B.

    1994-01-01T23:59:59.000Z

    This paper presents the development of a methodology to determine retrofit energy savings in buildings when few measured preretrofit data are available. Calibration of the DOE-2 building energy analysis computer program for a 250,000 ft2 building...

  3. Determination of Retrofit Savings Using a Calibrated Building Energy Simulation Model 

    E-Print Network [OSTI]

    Reddy, S. N.; Hunn, B. D.; Hood, D. B.

    1994-01-01T23:59:59.000Z

    This paper presents the development of a methodology to determine retrofit energy savings in buildings when few measured preretrofit data are available. Calibration of the DOE-2 building energy analysis computer program for a 250,000 ft2 building...

  4. Particle simulation of energetic particle driven Alfvn modes TH/5-1K. Shinohara, M. Ishikawa, M. Takechi Japan Atomic Energy Agency, Naka, Ibaraki 311-0193, Japan

    E-Print Network [OSTI]

    Vlad, Gregorio

    Particle simulation of energetic particle driven Alfvén modes TH/5-1K. Shinohara, M. Ishikawa, M. Takechi Japan Atomic Energy Agency, Naka, Ibaraki 311-0193, Japan W.W. Heidbrink, A. Bierwage University-day tokamaks and comparison between simulation and experiment before ALE after ALE (experimental) relaxed

  5. Loop Current Mixed Layer Energy Response to Hurricane Lili (2002). Part II: Idealized Numerical Simulations

    E-Print Network [OSTI]

    Miami, University of

    Loop Current Mixed Layer Energy Response to Hurricane Lili (2002). Part II: Idealized Numerical horizontal pressure gradient, wind energy transfer to the mixed layer can be more efficient in such a regime as compared to the case of an initially horizontally homogeneous ocean. However, nearly all energy is removed

  6. 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

    2003-04-22T23:59:59.000Z

    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.

  7. An Energy Aware Admission Control With Traffic Class Differentiation: From Theory to NS-2 Simulation

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    An Energy Aware Admission Control With Traffic Class Differentiation: From Theory to NS-2 for computer networks is called green networking. The proposed paper aims to de- velop and test an energy-aware solution. EAAC-MQ, an Energy-Aware Admission Control for wired networks, has been created and tested

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

    E-Print Network [OSTI]

    Kim, Myung Soo

    Rotational energy analysis for rotating­vibrating linear molecules in classical trajectory-specific vibrational energy analysis reported previously, the present method allows a reliable separation of the total calculation,6 one wishes to carry out mode-specific energy analysis at the end of each trajectory run

  9. 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 A method for the mode-specific energy analysis in a classical trajectory calculation is developed. The pure, suggesting that the present method is adequate for the mode-specific energy analysis of classical trajectory

  10. 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.

    2011-08-01T23:59:59.000Z

    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.

  11. Use of Calibrated Simulation for the Evaluation of Residential Energy Conservation Options of Two Habitat for Humanity Houses in Houston, Texas 

    E-Print Network [OSTI]

    Soebarto, V.; Reddy, A.; Bou-Saada, T. E.; Haberl, J. S.

    1998-01-01T23:59:59.000Z

    This paper describes a project where selected energy conservation measures in two Habitat for Humanity houses in Houston, Texas were measured using side-by- side measurements of identical houses and calibrated simulation. The measures include shell...

  12. Method and apparatus for simulating atmospheric absorption of solar energy due to water vapor and CO{sub 2}

    DOE Patents [OSTI]

    Sopori, B.L.

    1995-06-20T23:59:59.000Z

    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.

  13. 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)

    1995-01-01T23:59:59.000Z

    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.

  14. Simulations for experimental study of warm dense matter and inertial fusion energy applications on NDCX-II

    SciTech Connect (OSTI)

    Barnard, J J; Armijo, J; Bieniosek, F M; Friedman, A; Hay, M J; Henestroza, E; Logan, B G; More, R M; Ni, P A; Perkins, L J; Ng, S; Wurtele, J S; Yu, S S; Zylstra, A B

    2010-03-19T23:59:59.000Z

    The Neutralized Drift Compression Experiment II (NDCX II) is an induction accelerator planned for initial commissioning in 2012. The final design calls for a {approx}3 MeV, {approx}30 A Li{sup +} ion beam, delivered in a bunch with characteristic pulse duration of 1 ns, and transverse dimension of order 1 mm. The purpose of NDCX II is to carry out experimental studies of material in the warm dense matter regime, and ion beam/hydrodynamic coupling experiments relevant to heavy ion based inertial fusion energy. In preparation for this new machine, we have carried out hydrodynamic simulations of ion-beam-heated, metallic solid targets, connecting quantities related to observables, such as brightness temperature and expansion velocity at the critical frequency, with the simulated fluid density, temperature, and velocity. We examine how these quantities depend on two commonly used equations of state.

  15. 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

    1999-08-19T23:59:59.000Z

    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.

  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.

    2010-08-01T23:59:59.000Z

    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. Magneto-acoustic wave energy from numerical simulations of an observed sunspot umbra

    E-Print Network [OSTI]

    Felipe, T; Collados, M

    2011-01-01T23:59:59.000Z

    We aim at reproducing the height dependence of sunspot wave signatures obtained from spectropolarimetric observations through 3D MHD numerical simulations. A magneto-static sunspot model based on the properties of the observed sunspot is constructed and perturbed at the photosphere introducing the fluctuations measured with the \\SiI\\ $\\lambda$ 10827 \\AA\\ line. The results of the simulations are compared with the oscillations observed simultaneously at different heights from the \\HeI\\ $\\lambda$ 10830 \\AA\\ line, the \\CaIIH\\ core and the \\FeI\\ blends in the wings of the \\CaIIH\\ line. The simulations show a remarkable agreement with the observations. They reproduce the velocity maps and power spectra at the formation heights of the observed lines, as well as the phase and amplification spectra between several pair of lines. We find that the stronger shocks at the chromosphere are accompanied with a delay between the observed signal and the simulated one at the corresponding height, indicating that shocks shift th...

  18. Origins of Analysis Methods Used to Design High Performance Commercial Buildings: Part I, Whole-Building Energy Simulation

    E-Print Network [OSTI]

    Oh, S.; Haberl, J.S.

    loads. In this study, EnergyPlus (Crawley et al. 2001), DOE-2.1e (Winkelmann et al. 1993), eQUEST/DOE2.2 (LBNL and JJH 1998), TRACE (Trane 2013), HAP (Carrier 2013), and TRNSYS (Klein 1976) were studied as whole-building analysis simulation programs... 1987; Ouyang and Haghighat 1991; UIUC and LBNL 2012). The original WFs developed in 1967 and 1971, were also called pre-calculated WFs, which were pre-calculated for specific rooms such as light, medium, and heavy-weight constructions to be used...

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

    E-Print Network [OSTI]

    Hong, T.

    2011-01-01T23:59:59.000Z

    Energy-Savings Potential of Electrochromic Windows in the USPerformance Analysis of Electrochromic Windows in New Yorkthe effects of electrochromic windows and daylighting

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

    E-Print Network [OSTI]

    Microprocessor Energy Characterization and Optimization through Fast, Accurate, and Flexible. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Arthur C. Smith Chairman, Department Committee on Graduate Students #12;2 #12;Microprocessor Energy dissipation is emerging as a key constraint for both high-performance and embed- ded microprocessor designs

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

    E-Print Network [OSTI]

    Chhajed, Shreyans

    2014-08-01T23:59:59.000Z

    of Texas A&M University. The energy model for the building was created using the DOE-2 engine and validated with actual energy consumption data. As constructed building characteristics and occupancy loading data were used in the DOE-2 model. Parametric runs...

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

    E-Print Network [OSTI]

    Chhajed, Shreyans

    2014-08-01T23:59:59.000Z

    of Texas A&M University. The energy model for the building was created using the DOE-2 engine and validated with actual energy consumption data. As constructed building characteristics and occupancy loading data were used in the DOE-2 model. Parametric runs...

  3. 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

    1999-08-23T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Lin, G.; Claridge, D.

    2012-01-01T23:59:59.000Z

    ?or? Emea?Esim Eller?Building ? HVAC?system:?DDVAV ? Baseline?period:?March?August,1997 Simulation?Data?Sets 8 0...?ID Eller 1 Outside?airflow?ratio??increase?of??3.1% 2 Outside?airflow?ratio??decrease?of??3.1% 3 Cold?deck?leaving?temperature??increase?of?4?F 4 Cold?deck?leaving?temperature??decrease?of?4.5?F 5 Hot?deck?leaving?temperature??increase?of?10?F 6 Hot...

  5. Probing dark energy models with extreme pairwise velocities of galaxy clusters from the DEUS-FUR simulations

    E-Print Network [OSTI]

    Bouillot, Vincent R; Corasaniti, Pier-Stefano; Rasera, Yann

    2015-01-01T23:59:59.000Z

    Observations of colliding galaxy clusters with high relative velocity probe the tail of the halo pairwise velocity distribution with the potential of providing a powerful test of cosmology. As an example it has been argued that the discovery of the Bullet Cluster challenges standard $\\Lambda$CDM model predictions. Halo catalogs from N-body simulations have been used to estimate the probability of Bullet-like clusters. However, due to simulation volume effects previous studies had to rely on a Gaussian extrapolation of the pairwise velocity distribution to high velocities. Here, we perform a detail analysis using the halo catalogs from the Dark Energy Universe Simulation Full Universe Runs (DEUS-FUR), which enables us to resolve the high-velocity tail of the distribution and study its dependence on the halo mass definition, redshift and cosmology. Building upon these results we estimate the probability of Bullet-like systems in the framework of Extreme Value Statistics. We show that the tail of extreme pairwis...

  6. ADVISOR (ADvanced VehIcle SimulatOR) | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDITCaliforniaWeifangwiki Home Jweers's APTAPFinal ReportAD

  7. Computation & Simulation > Theory & Computation > Research > The Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMForms AboutRESEARCHHydrosilylation Catalystsframeworks M2(dobdc)

  8. 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

    2009-05-01T23:59:59.000Z

    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.

  9. 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.

    2010-09-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Hong, Tianzhen

    2009-01-01T23:59:59.000Z

    total cooling capacity, sensible heat ratio, and supply airair economizer cooling hours, but the supply fan energy willsupply fan has a draw-through configuration (downstream of the DX cooling

  11. Cooling Energy Demand Evaluation by Meansof Regression Models Obtained From Dynamic Simulations

    E-Print Network [OSTI]

    Catalina, T.; Virgone, J.

    2011-01-01T23:59:59.000Z

    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...

  12. Dynamic Simulation and Analysis of Factors Impacting the Energy Consumption of Residential Buildings

    E-Print Network [OSTI]

    Lian, Y.; Hao, Y.

    2006-01-01T23:59:59.000Z

    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...

  13. Simulation-assisted evaluation of potential energy savings: Application to an administrative building in France

    E-Print Network [OSTI]

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

    2012-01-01T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

    Bambrook, S.; Jacob, D.

    2008-01-01T23:59:59.000Z

    -ICE for the same building. The dataset collected at the demonstration building consists of total energy consumption, weather data, indoor conditions and HVAC system parameters, measured in at least hourly time steps. This paper presents the first steps in modelling...

  15. Dynamic Simulation and Analysis of Factors Impacting the Energy Consumption of Residential Buildings 

    E-Print Network [OSTI]

    Lian, Y.; Hao, Y.

    2006-01-01T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

    Bambrook, S.; Jacob, D.

    -ICE for the same building. The dataset collected at the demonstration building consists of total energy consumption, weather data, indoor conditions and HVAC system parameters, measured in at least hourly time steps. This paper presents the first steps in modelling...

  17. The Use of Simulation Techniques for Improving Energy Consumption of Industrial Processes

    E-Print Network [OSTI]

    Gourlia, J. P.; Jamen, R.

    1984-01-01T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

    Brennan, Sean

    provides the electrical propulsion and energy storage, but provides additional spare storage space to carry than automobiles, and only marginally more dangerous than conventional bicycles. In urban China, both

  19. A technical framework to describe occupant behavior for building energy simulations

    SciTech Connect (OSTI)

    Turner , William; Hong , Tianzhen

    2013-12-20T23:59:59.000Z

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757KelleyEffects

  1. Exergy and Energy analysis of a ground-source heat pump for domestic water heating under simulated occupancy conditions

    SciTech Connect (OSTI)

    Ally, Moonis Raza [ORNL; Munk, Jeffrey D [ORNL; Baxter, Van D [ORNL; Gehl, Anthony C [ORNL

    2012-01-01T23:59:59.000Z

    This paper presents detailed analysis of a water to water ground source heat pump (WW-GSHP) to provide all the hot water needs in a 345 m2 house located in DOE climate zone 4 (mixed-humid). The protocol for hot water use is based on the Building America Research Benchmark Definition (Hendron 2008; Hendron and Engebrecht 2010) which aims to capture the living habits of the average American household and its impact on energy consumption. The entire house was operated under simulated occupancy conditions. Detailed energy and exergy analysis provides a complete set of information on system efficiency and sources of irreversibility, the main cause of wasted energy. The WW-GSHP was sized at 5.275 kW (1.5-ton) for this house and supplied hot water to a 303 L (80 gal) water storage tank. The WW-GSHP shared the same ground loop with a 7.56 kW (2.1-ton) water to air ground source heat pump (WA-GSHP) which provided space conditioning needs to the entire house. Data, analyses, and measures of performance for the WW-GSHP in this paper complements the results of the WA-GSHP published in this journal (Ally, Munk et al. 2012). Understanding the performance of GSHPs is vital if the ground is to be used as a viable renewable energy resource.

  2. Overview of validation procedures for building energy-analysis simulation codes. [SUNCAT 2. 4, DEROB 4, DOE 2. 1, BLAST

    SciTech Connect (OSTI)

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

    1981-03-01T23:59:59.000Z

    SERI is developing a procedure for the validation of Building Energy Analysis Simulation Codes (BEAS). These codes are being used increasingly in the building design process, both directly and as the basis for simplified design tools and guidelines. The importance of the validity of the BEAS in predicting building energy performance is obvious when one considers the money and energy which could be wasted by energy-inefficient designs. However, to date, little or no systematic effort has been made to ensure the validity of the various BEAS. The validation work at SERI consists of three distinct parts: Comparative Study, Analytical Verification, and Empirical Validation. The procedures have been developed for the first two parts, and these procedures have been implemented on a sampling of the major BEAS. Results from this work have shown major problems in two of the BEAS tested. Furthermore, when one building design was run on several of the BEAS, there were large differences in the predicted annual heating loads. The empirical validation procedure will be developed when high quality empirical data become available.

  3. Monte-Carlo Simulation of Exclusive Channels in e+e- Annihilation at Low Energy

    E-Print Network [OSTI]

    D. Anipko; S. Eidelman; A. Pak

    2003-12-25T23:59:59.000Z

    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.

  4. Numerical simulation of material and energy flow in an e-beam melt furnace

    SciTech Connect (OSTI)

    Westerberg, K.W.; McClelland, M.A. [Lawrence Livermore National Lab., CA (United States); Finlayson, B.A. [Washington Univ., Seattle, WA (United States). Dept. of Chemical Engineering

    1993-12-01T23:59:59.000Z

    A numerical analysis is made of the material and energy flow in an electron-beam furnace. Energy from an electron beam vaporizes metal confined in a water-cooled crucible. At the beam impact site a. recirculating liquid metal pool is surrounded by a shell of its own solid. A Galerkin finite element method is modified to solve for the flow and temperature fields along with interface locations. The deforming mesh is parameterized using spines that pivot and stretch as the interfaces move. Results are given for an aluminum vaporizer in which parametric variations are made in the e-beam power and liquid viscosity. The calculations reveal the importance of the coupling between the free boundaries and the flow and energy fields.

  5. File:Wind-farm-policy-simulation lp-HS.pdf | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 NoEuropeStrat.pdf JumpNotificationWhiskey flats

  6. Combustion Energy Frontier Research Center Post-Doctoral Position in Advanced Combustion Simulations

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced. C o w l i tCollaboration MarchCanadian2016 AnnualEnergy

  7. Combustion Energy Frontier Research Center Post-Doctoral Position in Advanced Combustion Simulations

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced. C o w l i tCollaboration MarchCanadian2016 AnnualEnergyEFRC seeks

  8. DOE Launches World-Class Virtual Energy Simulation Training and Research

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: Theof"Wave theJulyD&DDepartment offorEnergy LabSmart Grid WebofCenter

  9. 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 DataDepartment of Energy Your Density Isn'tOriginEducationVideo »UsageSecretary of EnergyFocus GroupSherrell R.Chemical Kinetic

  10. SolOPT: PV and Solar Hot Water Hourly Simulation Software Tool - Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9MorganYou areInnovation PortalInnovation

  11. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole IncMinuteman WindMoana Geothermal

  12. Modeling-Computer Simulations At Coso Geothermal Area (2000) | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole IncMinuteman WindMoana GeothermalInformation 0

  13. Role of Computer Simulation in Designing an Energy Efficient Building: Preprint

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection TechnicalResonantNovember 15 toAdvancesRockSodium Natrolite |Role of

  14. BESTEST: Test Procedures ÂŤBuilding Energy SimulationÂŽ Tools

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The FutureComments fromof Energy Automationj. IndirectDepartmentBENEFIT: A

  15. File:Wind-farm-policy-simulation lp.pdf | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdf Jump to:ar-80m.pdf JumpUsgs.9.2010.Fig01.pdfWATER CODE

  16. Functional Mock-Up Unit Import in EnergyPlus For Co-Simulation

    E-Print Network [OSTI]

    Plus. After that, we present two use cases. The first use case is to model a HVAC system in Modelica, export where a shading controller is modeled in Modelica, exported as an FMU, and used in the EnergyPlus room

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

    E-Print Network [OSTI]

    of opportunistic ad hoc communication scenarios is unlikely on a large scale. Part of it is due to business models and application layer services, such as security, can be designed (offline) to do an efficient use of the resources. Real- time adaptation can further minimise their impact on the energy consumption, increasing

  18. 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

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

    E-Print Network [OSTI]

    Picco, Gian Pietro

    panels. I. INTRODUCTION The market value of wireless sensor networks (WSNs) is growing steadily problem. Indeed, in many cases the energy density--whether solar, wind, vibrational or thermal in nature the influence of given environmental parameters, and finally to observe the WSN behavior over extended periods

  20. Filter-fluorescer measurement of low-voltage simulator x-ray energy spectra

    SciTech Connect (OSTI)

    Baldwin, G.T.; Craven, R.E.

    1986-01-01T23:59:59.000Z

    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.

  1. 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)

    2014-05-21T23:59:59.000Z

    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.

  2. Energy performance of underfloor air distribution systems

    E-Print Network [OSTI]

    Bauman, Fred; Webster, Tom; Linden, Paul; Buhl, Fred

    2007-01-01T23:59:59.000Z

    whole? building energy simulation program EnergyPlus that whole?building energy simulation program, to allow design validated whole?building energy simulation program of its 

  3. Neutrino and anti-neutrino energy loss rates due to iron isotopes suitable for core-collapse simulations

    E-Print Network [OSTI]

    Jameel-Un Nabi

    2014-08-19T23:59:59.000Z

    Accurate estimate of neutrino energy loss rates are needed for the study of the late stages of the stellar evolution, in particular for cooling of neutron stars and white dwarfs. The energy spectra of neutrinos and antineutrinos arriving at the Earth can also provide useful information on the primary neutrino fluxes as well as neutrino mixing scenario (it is to be noted that these supernova neutrinos are emitted after the supernova explosion which is a much later stage of stellar evolution than that considered in this paper). Recently an improved microscopic calculation of weak-interaction mediated rates for iron isotopes was introduced using the proton-neutron quasiparticle random phase approximation (pn-QRPA) theory. Here I present for the first time the fine-grid calculation of the neutrino and anti-neutrino energy loss rates due to $^{54,55,56}$Fe in stellar matter. In the core of massive stars isotopes of iron, $^{54,55,56}$Fe, are considered to be key players in decreasing the electron-to-baryon ratio ($Y_{e}$) mainly via electron capture on these nuclide. Core-collapse simulators may find this calculation suitable for interpolation purposes and for necessary incorporation in the stellar evolution codes. The calculated cooling rates are also compared with previous calculations.

  4. 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

    2015-01-01T23:59:59.000Z

    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 ...

  5. SU-E-I-67: X-Ray Fluorescence for Energy Response Calibration of a Photon Counting Detector: A Simulation Study

    SciTech Connect (OSTI)

    Cho, H; Ding, H; Ziemer, B; Molloi, S [University of California, Irvine, CA (United States)

    2014-06-01T23:59:59.000Z

    Purpose: To investigate the feasibility of energy calibration and energy response characterization of a photon counting detector using x-ray fluorescence. Methods: A comprehensive Monte Carlo simulation study was done to investigate the influence of various geometric components on the x-ray fluorescence measurement. Different materials, sizes, and detection angles were simulated using Geant4 Application for Tomographic Emission (GATE) Monte Carlo package. Simulations were conducted using 100 kVp tungsten-anode spectra with 2 mm Al filter for a single pixel cadmium telluride (CdTe) detector with 3 × 3 mm2 in detection area. The fluorescence material was placed 300 mm away from both the x-ray source and the detector. For angular dependence measurement, the distance was decreased to 30 mm to reduce the simulation time. Compound materials, containing silver, barium, gadolinium, hafnium, and gold in cylindrical shape, were simulated. The object size varied from 5 to 100 mm in diameter. The angular dependence of fluorescence and scatter were simulated from 20° to 170° with an incremental step of 10° to optimize the fluorescence to scatter ratio. Furthermore, the angular dependence was also experimentally measured using a spectrometer (X-123CdTe, Amptek Inc., MA) to validate the simulation results. Results: The detection angle between 120° to 160° resulted in more optimal x-ray fluorescence to scatter ratio. At a detection angle of 120°, the object size did not have a significant effect on the fluorescence to scatter ratio. The experimental results of fluorescence angular dependence are in good agreement with the simulation results. The K? and K? peaks of five materials could be identified. Conclusion: The simulation results show that the x-ray fluorescence procedure has the potential to be used for detector energy calibration and detector response characteristics by using the optimal system geometry.

  6. Event simulations in a transport model for intermediate energy heavy ion collisions: Applications to multiplicity distributions

    E-Print Network [OSTI]

    Mallik, S; Chaudhuri, G

    2015-01-01T23:59:59.000Z

    We perform transport model calculations for central collisions of mass 120 on mass 120 at laboratory beam energy in the range 20 MeV/nucleon to 200 MeV/nucleon. A simplified yet accurate method allows calculation of fluctuations in systems much larger than what was considered feasible in a well-known and already existing model. The calculations produce clusters. The distribution of clusters is remarkably similar to that obtained in equilibrium statistical model.

  7. Event simulations in a transport model for intermediate energy heavy ion collisions: Applications to multiplicity distributions

    E-Print Network [OSTI]

    S. Mallik; S. Das Gupta; G. Chaudhuri

    2015-03-19T23:59:59.000Z

    We perform transport model calculations for central collisions of mass 120 on mass 120 at laboratory beam energy in the range 20 MeV/nucleon to 200 MeV/nucleon. A simplified yet accurate method allows calculation of fluctuations in systems much larger than what was considered feasible in a well-known and already existing model. The calculations produce clusters. The distribution of clusters is remarkably similar to that obtained in equilibrium statistical model.

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

    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 FuelsNovember 13, 2014ContributingDOEDepartment of EnergySmallDesignDetecting

  9. Modeling a thermionic energy converter using finite-difference time-domain particle-in-cell simulations

    SciTech Connect (OSTI)

    Lo, F. S.; Lee, T. H. [Department of Mechanical Engineering, National Central University, Jhongli City, Taoyuan County 32001, Taiwan (China)] [Department of Mechanical Engineering, National Central University, Jhongli City, Taoyuan County 32001, Taiwan (China); Lu, P. S. [NanoScience Simulation Laboratory, Fu Jen Catholic University, Xinzhuang Dist., New Taipei City 24205, Taiwan (China)] [NanoScience Simulation Laboratory, Fu Jen Catholic University, Xinzhuang Dist., New Taipei City 24205, Taiwan (China); Ragan-Kelley, B. [Applied Science and Technology, University of California, Berkeley, California 94720 (United States) [Applied Science and Technology, University of California, Berkeley, California 94720 (United States); Plasma Theory and Simulation Group, University of California, Berkeley, California 94720 (United States); Minnich, A. [Plasma Theory and Simulation Group, University of California, Berkeley, California 94720 (United States) [Plasma Theory and Simulation Group, University of California, Berkeley, California 94720 (United States); Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California 91125 (United States); Lin, M. C., E-mail: mingchiehlin@gmail.com [NanoScience Simulation Laboratory, Fu Jen Catholic University, Xinzhuang Dist., New Taipei City 24205, Taiwan (China); Plasma Theory and Simulation Group, University of California, Berkeley, California 94720 (United States); Verboncoeur, J. P. [Plasma Theory and Simulation Group, University of California, Berkeley, California 94720 (United States) [Plasma Theory and Simulation Group, University of California, Berkeley, California 94720 (United States); Department of Electrical and Computing Engineering, Michigan State University, East Lansing, Michigan 48824 (United States)

    2014-02-15T23:59:59.000Z

    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.

  10. Computer simulation of the energy gap in ZnO- and TiO{sub 2}-based semiconductor photocatalysts

    SciTech Connect (OSTI)

    Skorikov, N. A., E-mail: nskorikov@gmail.com; Korotin, M. A.; Kurmaev, E. Z. [Russian Academy of Sciences, Institute of Metal Physics, Ural Branch (Russian Federation); Cholakh, S. O. [Ural Federal University (Russian Federation)

    2012-12-15T23:59:59.000Z

    Ab initio calculations of the electronic structures of binary ZnO- and TiO{sub 2}-based oxides are performed to search for optimum dopants for efficient absorption of the visible part of solar radiation. Light elements B, C, and N are chosen for anion substitution. Cation substitution is simulated by 3d elements (Cr, Mn, Fe, Co) and heavy metals (Sn, Sb, Pb, Bi). The electronic structures are calculated by the full-potential linearized augmented plane wave method using the modified Becke-Johnson exchange-correlation potential. Doping is simulated by calculating supercells Zn{sub 15}D{sub 1}O{sub 16}, Zn{sub 16}O{sub 15}D{sub 1}, Ti{sub 15}D{sub 1}O{sub 32}, and Ti{sub 8}O{sub 15}D{sub 1}, where one-sixteenth of the metal (Ti, Zn) or oxygen atoms is replaced by dopant atoms. Carbon and antimony are found to be most effective dopants for ZnO: they form an energy gap {Delta}E = 1.78 and 1.67 eV, respectively. For TiO{sub 2}, nitrogen is the most effective dopant ({Delta}E = 1.76 eV).

  11. Sandia National Laboratories: combustion simulation

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

    combustion simulation Direct Measurement of Key Molecule Will Increase Accuracy of Combustion Models On March 3, 2015, in Computational Modeling & Simulation, CRF, Energy,...

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

    E-Print Network [OSTI]

    Feng, Xiaobing; Laird, Brian Bostian

    2006-01-30T23:59:59.000Z

    in de- termining both the magnitude and anisotropy of #2; for simple result, SCN is used as a model material for the study of the solidification kinetics of bcc-forming systems. Also, the succinonitrile-acetone alloy is used as a model material...,22,23 and metal alloys.24 In this work, we apply the fluctuation method to calculate the interfacial free energy for a molecular system, namely, the organic compound succino- nitrile. In recent years, succinonitrile #1;SCN#2; Nw C – #1;CH2#2;2 – Cw N has become a...

  13. Light Water Reactors A DOE Energy Innovation Hub for Modeling and Simulation of Nuclear

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |Is Your HomeLatest Newsbiomass toInsurance | National

  14. Large-Eddy Simulation for Green Energy and Propulsion Systems | Argonne

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn12electron 9 5 - -/e),,sand CERNLandLargefor High

  15. Appending High-Resolution Elevation Data to GPS Speed Traces for Vehicle Energy Modeling and Simulation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternative FuelsSanta3 TableimpurityAppeals by Website`Appending

  16. 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 DataDepartment of Energy Your Density Isn't YourTransport(Fact Sheet), GeothermalGridHYDROGEND D e e p p aDepartmentUpdate WebinarforHome

  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.

    2013-08-28T23:59:59.000Z

    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. Full-f Neoclassical Simulations toward a Predictive Model for H-mode Pedestal Ion Energy, Particle and Momentum Transport

    SciTech Connect (OSTI)

    Battaglia, D. J. [PPPL; Boedo, J. A. [University of California San Diego; Burrell, K. H. [General Atomics; Chang, C. S. [PPPL; Canik, J. M. [ORNL; deGrassie, J. S. [General Atomics; Gerhardt, S. P. [PPPL; Grierson, B. A. [General Atomics; Groebner, R. J. [General Atomics; Maingi, Rajesh [PPPL; Smith, S. P. [General Atomics

    2014-09-01T23:59:59.000Z

    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.

  19. 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

    2013-07-01T23:59:59.000Z

    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.

  20. 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