Sample records for reference building models

  1. U.S. Department of Energy Commercial Reference Building Models of the National Building Stock

    SciTech Connect (OSTI)

    Deru, M.; Field, K.; Studer, D.; Benne, K.; Griffith, B.; Torcellini, P.; Liu, B.; Halverson, M.; Winiarski, D.; Rosenberg, M.; Yazdanian, M.; Huang, J.; Crawley, D.

    2011-02-01T23:59:59.000Z

    The U.S. Department of Energy (DOE) Building Technologies Program has set the aggressive goal of producing marketable net-zero energy buildings by 2025. This goal will require collaboration between the DOE laboratories and the building industry. We developed standard or reference energy models for the most common commercial buildings to serve as starting points for energy efficiency research. These models represent fairly realistic buildings and typical construction practices. Fifteen commercial building types and one multifamily residential building were determined by consensus between DOE, the National Renewable Energy Laboratory, Pacific Northwest National Laboratory, and Lawrence Berkeley National Laboratory, and represent approximately two-thirds of the commercial building stock.

  2. Archive Reference Buildings by Building Type: Supermarket

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

  3. Archive Reference Buildings by Building Type: Warehouse

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

  4. Archived Reference Building Type: Primary school

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  5. Archived Reference Building Type: Outpatient health care

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  6. Archived Reference Building Type: Strip mall

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  7. Archived Reference Building Type: Medium office

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  8. Archived Reference Building Type: Secondary school

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  9. Archived Reference Building Type: Primary school

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  10. Archived Reference Building Type: Outpatient health care

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  11. Archived Reference Building Type: Strip mall

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  12. Archived Reference Building Type: Medium office

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  13. Archived Reference Building Type: Secondary school

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  14. Archive Reference Buildings by Building Type: Primary school

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

  15. Archive Reference Buildings by Building Type: Stand-alone retail

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

  16. Archive Reference Buildings by Building Type: Small office

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

  17. Archive Reference Buildings by Building Type: Large office

    Office of Energy Efficiency and Renewable Energy (EERE)

    Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

  18. Archive Reference Buildings by Building Type: Fast food

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

  19. Archive Reference Buildings by Building Type: Strip mall

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

  20. Archive Reference Buildings by Building Type: Secondary school

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

  1. Reference Buildings by Building Type: Small Hotel

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  2. Reference Buildings by Building Type: Large Hotel

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  3. Reference Buildings by Climate Zone and Representative City:...

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

    Reference Buildings by Climate Zone and Representative City: 4B Albuquerque, New Mexico Reference Buildings by Climate Zone and Representative City: 4B Albuquerque, New...

  4. Reference Buildings by Climate Zone and Representative City:...

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

    More Documents & Publications Reference Buildings by Climate Zone and Representative City: 5B Boulder, Colorado Reference Buildings by Climate Zone and Representative...

  5. Reference Buildings by Climate Zone and Representative City:...

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

    More Documents & Publications Reference Buildings by Climate Zone and Representative City: 4C Seattle, Washington Reference Buildings by Climate Zone and Representative...

  6. Reference Buildings by Climate Zone and Representative City:...

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

    More Documents & Publications Reference Buildings by Climate Zone and Representative City: 6B Helena, Montana Reference Buildings by Climate Zone and Representative...

  7. Reference Buildings by Climate Zone and Representative City:...

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

    More Documents & Publications Reference Buildings by Climate Zone and Representative City: 8 Fairbanks, Alaska Reference Buildings by Climate Zone and Representative...

  8. Reference Buildings by Climate Zone and Representative City:...

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

    More Documents & Publications Reference Buildings by Climate Zone and Representative City: 5A Chicago, Illinois Reference Buildings by Climate Zone and Representative...

  9. Reference Buildings by Climate Zone and Representative City:...

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

    More Documents & Publications Reference Buildings by Climate Zone and Representative City: 3B Las Vegas, Nevada Reference Buildings by Climate Zone and Representative...

  10. Reference Buildings by Climate Zone and Representative City:...

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

    More Documents & Publications Reference Buildings by Climate Zone and Representative City: 4A Baltimore, Maryland Reference Buildings by Climate Zone and Representative...

  11. Reference Buildings by Climate Zone and Representative City:...

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

    akfairbankspre1980v1-47-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 8 Fairbanks, Alaska Reference Buildings by Climate Zone...

  12. Reference Buildings by Climate Zone and Representative City:...

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

    minneapolispre1980v1-47-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 6A Minneapolis, Minnesota Reference Buildings by...

  13. Reference Buildings by Building Type: Medium office | 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'tOrigin of ContaminationHubs+18, 2012EnergyBuilding Type: Medium office Reference Buildings by

  14. Reference Buildings by Building Type: Medium office | 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'tOrigin of ContaminationHubs+18, 2012EnergyBuilding Type: Medium office Reference Buildings

  15. Reference Buildings by Building Type: Medium office | 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'tOrigin of ContaminationHubs+18, 2012EnergyBuilding Type: Medium office Reference

  16. Reference Buildings by Building Type: Midrise Apartment | 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'tOrigin of ContaminationHubs+18, 2012EnergyBuilding Type: Medium office ReferenceEnergy

  17. Reference Buildings by Climate Zone and Representative City:...

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

    A Baltimore, Maryland Reference Buildings by Climate Zone and Representative City: 4A Baltimore, Maryland In addition to the ZIP file for each building type, you can directly view...

  18. Reference Buildings by Climate Zone and Representative City:...

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

    A Chicago, Illinois Reference Buildings by Climate Zone and Representative City: 5A Chicago, Illinois In addition to the ZIP file for each building type, you can directly view the...

  19. Reference Buildings by Climate Zone and Representative City:...

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

    B Helena, Montana Reference Buildings by Climate Zone and Representative City: 6B Helena, Montana In addition to the ZIP file for each building type, you can directly view the...

  20. Reference Buildings by Climate Zone and Representative City:...

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

    B Boulder, Colorado Reference Buildings by Climate Zone and Representative City: 5B Boulder, Colorado In addition to the ZIP file for each building type, you can directly view the...

  1. Reference Buildings by Climate Zone and Representative City:...

    Energy Savers [EERE]

    1A Miami, Florida Reference Buildings by Climate Zone and Representative City: 1A Miami, Florida In addition to the ZIP file for each building type, you can directly view the...

  2. Reference Buildings by Climate Zone and Representative City:...

    Energy Savers [EERE]

    7 Duluth, Minnesota Reference Buildings by Climate Zone and Representative City: 7 Duluth, Minnesota In addition to the ZIP file for each building type, you can directly view the...

  3. Reference Buildings by Climate Zone and Representative City:...

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

    B Phoenix, Arizona Reference Buildings by Climate Zone and Representative City: 2B Phoenix, Arizona In addition to the ZIP file for each building type, you can directly view the...

  4. Reference Buildings by Climate Zone and Representative City:...

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

    B Las Vegas, Nevada Reference Buildings by Climate Zone and Representative City: 3B Las Vegas, Nevada In addition to the ZIP file for each building type, you can directly view the...

  5. Reference Buildings by Climate Zone and Representative City:...

    Energy Savers [EERE]

    B Los Angeles, California Reference Buildings by Climate Zone and Representative City: 3B Los Angeles, California In addition to the ZIP file for each building type, you can...

  6. Reference Buildings by Climate Zone and Representative City:...

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

    C San Francisco, California Reference Buildings by Climate Zone and Representative City: 3C San Francisco, California In addition to the ZIP file for each building type, you can...

  7. Reference Buildings by Climate Zone and Representative City:...

    Energy Savers [EERE]

    A Atlanta, Georgia Reference Buildings by Climate Zone and Representative City: 3A Atlanta, Georgia In addition to the ZIP file for each building type, you can directly view the...

  8. Reference Buildings by Climate Zone and Representative City:...

    Energy Savers [EERE]

    A Houston, Texas Reference Buildings by Climate Zone and Representative City: 2A Houston, Texas In addition to the ZIP file for each building type, you can directly view the...

  9. Reference Buildings by Climate Zone and Representative City:...

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

    C Seattle, Washington Reference Buildings by Climate Zone and Representative City: 4C Seattle, Washington In addition to the ZIP file for each building type, you can directly view...

  10. Reference Buildings by Climate Zone and Representative City:...

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

    B Albuquerque, New Mexico Reference Buildings by Climate Zone and Representative City: 4B Albuquerque, New Mexico In addition to the ZIP file for each building type, you can...

  11. Commercial Reference Buildings | 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 JumpConceptual Model, clickInformationNew York:Governor s(RedirectedColusaCommack,Reference

  12. Reference Buildings by Climate Zone and Representative City:...

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

    new2004v1.35.0.zip refbldg3ausagaatlantanew2004v1-47-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 3A Atlanta, Georgia...

  13. Reference Buildings by Climate Zone and Representative City:...

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

    new2004v1.35.0.zip refbldg1ausaflmiaminew2004v1-47-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 1A Miami, Florida...

  14. Reference Buildings by Climate Zone and Representative City:...

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

    new2004v1.35.0.zip refbldg2ausatxhoustonnew2004v1-47-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 2A Houston, Texas...

  15. Reference Buildings by Building Type: Outpatient health care

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  16. Reference Buildings by Building Type: Midrise Apartment | 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'tOrigin of ContaminationHubs+18, 2012EnergyBuilding Type: Medium office

  17. Reference Buildings by Building Type: Primary school | 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'tOrigin of ContaminationHubs+18, 2012EnergyBuilding Type: Medium

  18. Reference Buildings by Building Type: Secondary school | 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'tOrigin of ContaminationHubs+18, 2012EnergyBuilding Type:

  19. Reference Buildings by Building Type: Small office | 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'tOrigin of ContaminationHubs+18, 2012EnergyBuilding

  20. Reference Buildings by Building Type: Small office | 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'tOrigin of ContaminationHubs+18, 2012EnergyBuilding

  1. Reference Buildings by Building Type: Small office | 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'tOrigin of ContaminationHubs+18, 2012EnergyBuilding

  2. Reference Buildings by Building Type: Midrise Apartment | 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'tOrigin of ContaminationHubs+18, 2012EnergyBuilding Type: Medium officeEnergy

  3. Reference Buildings by Building Type: Outpatient health care | Department

    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 ContaminationHubs+18, 2012EnergyBuilding Type: Medium officeEnergyof Energy

  4. Reference Buildings by Building Type: Outpatient health care | Department

    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 ContaminationHubs+18, 2012EnergyBuilding Type: Medium officeEnergyof Energyof

  5. Reference Buildings by Building Type: Primary school | 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'tOrigin of ContaminationHubs+18, 2012EnergyBuilding Type: Medium officeEnergyof

  6. Reference Buildings by Building Type: Primary school | 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'tOrigin of ContaminationHubs+18, 2012EnergyBuilding Type: Mediumpre1980_v1.3_5.0.zip

  7. Reference Buildings by Building Type: Quick service restaurant | Department

    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 ContaminationHubs+18, 2012EnergyBuilding Type: Mediumpre1980_v1.3_5.0.zipof Energy

  8. Reference Buildings by Building Type: Quick service restaurant | Department

    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 ContaminationHubs+18, 2012EnergyBuilding Type: Mediumpre1980_v1.3_5.0.zipof

  9. Reference Buildings by Building Type: Quick service restaurant | Department

    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 ContaminationHubs+18, 2012EnergyBuilding Type: Mediumpre1980_v1.3_5.0.zipofof

  10. Reference Buildings by Building Type: Secondary school | 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'tOrigin of ContaminationHubs+18, 2012EnergyBuilding Type: Mediumpre1980_v1.3_5.0.zipofofEnergy

  11. Reference Buildings by Building Type: Secondary school | 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'tOrigin of ContaminationHubs+18, 2012EnergyBuilding Type:Energy pre1980_v1.3_5.0.zip

  12. Reference Buildings by Building Type: Small Hotel | 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'tOrigin of ContaminationHubs+18, 2012EnergyBuilding Type:Energy

  13. Reference Buildings by Building Type: Small Hotel | 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'tOrigin of ContaminationHubs+18, 2012EnergyBuilding Type:Energypost1980_v1.3_5.0.zip

  14. Reference Buildings by Building Type: Strip mall | 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'tOrigin of ContaminationHubs+18, 2012EnergyBuildingEnergynew2004_v1.3_5.0.zip

  15. SUSY Model Building

    E-Print Network [OSTI]

    Stuart Raby

    2007-10-19T23:59:59.000Z

    I review some of the latest directions in supersymmetric model building, focusing on SUSY breaking mechanisms in the minimal supersymmetric standard model [MSSM], the "little" hierarchy and $\\mu$ problems, etc. I then discuss SUSY GUTs and UV completions in string theory.

  16. String Model Building

    E-Print Network [OSTI]

    Stuart Raby

    2009-11-06T23:59:59.000Z

    In this talk I review some recent progress in heterotic and F theory model building. I then consider work in progress attempting to find the F theory dual to a class of heterotic orbifold models which come quite close to the MSSM.

  17. Using DOE Commercial Reference Buildings for Simulation Studies: Preprint

    SciTech Connect (OSTI)

    Field, K.; Deru, M.; Studer, D.

    2010-08-01T23:59:59.000Z

    The U.S. Department of Energy developed 256 EnergyPlus models for use in studies that aim to characterize about 70% of the U.S. commercial building stock. Sixteen building types - including restaurants, health care, schools, offices, supermarkets, retail, lodging, and warehouses - are modeled across 16 cities to represent the diversity of U.S. climate zones. Weighting factors have been developed to combine the models in proportions similar to those of the McGraw-Hill Construction Projects Starts Database for 2003-2007. This paper reviews the development and contents of these models and their applications in simulation studies.

  18. SUSY GUT Model Building

    E-Print Network [OSTI]

    Stuart Raby

    2008-08-27T23:59:59.000Z

    I discuss an evolution of SUSY GUT model building, starting with the construction of 4d GUTs, to orbifold GUTs and finally to orbifold GUTs within the heterotic string. This evolution is an attempt to obtain realistic string models, perhaps relevant for the LHC. This review is in memory of the sudden loss of Julius Wess, a leader in the field, who will be sorely missed.

  19. Anomaly for Model Building

    E-Print Network [OSTI]

    Utpal Sarkar

    2006-06-19T23:59:59.000Z

    A simple algorithm to calculate the group theory factor entering in anomalies at four and six dimensions for SU(N) and SO(N) groups in terms of the Casimir invariants of their subgroups is presented. Explicit examples of some of the lower dimensional representations of $SU(n), n \\leq 5$ and SO(10) groups are presented, which could be used for model building in four and six dimensions.

  20. Sandia National Laboratories: Reference Model 3

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

    Reference Model 3 Sandia, NREL Release Wave Energy Converter Modeling and Simulation Code: WEC-Sim On July 29, 2014, in Computational Modeling & Simulation, Energy, News, News &...

  1. Model Building Energy Code

    Broader source: Energy.gov [DOE]

    ''Much of the information presented in this summary is drawn from the U.S. Department of Energy’s (DOE) Building Energy Codes Program and the Building Codes Assistance Project (BCAP). For more...

  2. Comparison of Building Energy Modeling Programs: Building Loads

    E-Print Network [OSTI]

    LBNL-6034E Comparison of Building Energy Modeling Programs: Building Loads Dandan Zhu1 , Tianzhen Energy, the U.S.-China Clean Energy Research Center for Building Energy Efficiency, of the U;Comparison of Building Energy Modeling Programs: Building Loads A joint effort between Lawrence Berkeley

  3. Technical Meeting: Reference Guide for a Transaction-Based Building...

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

    Building Technologies Office (DOE-BTO) vision for a transaction-rich buildings energy ecosystem that will unlock the energy efficiency and grid services values and deliver them...

  4. Sandia National Laboratories: Reference Model Project

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

    marine hydrokinetic (MHK) reference models (RMs) for wave energy converters and tidal, ocean, and river current energy converters. The RMP team includes a partnership between...

  5. Sandia National Laboratories: marine hydrokinetic reference models

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

    marine hydrokinetic (MHK) reference models (RMs) for wave energy converters and tidal, ocean, and river current energy converters. The RMP team includes a partnership between...

  6. Transaction-Based Building Controls Framework, Volume 1: Reference Guide

    SciTech Connect (OSTI)

    Somasundaram, Sriram; Pratt, Robert G.; Akyol, Bora A.; Fernandez, Nicholas; Foster, Nikolas AF; Katipamula, Srinivas; Mayhorn, Ebony T.; Somani, Abhishek; Steckley, Andrew C.; Taylor, Zachary T.

    2014-04-28T23:59:59.000Z

    This document proposes a framework concept to achieve the objectives of raising buildings’ efficiency and energy savings potential benefitting building owners and operators. We call it a transaction-based framework, wherein mutually-beneficial and cost-effective market-based transactions can be enabled between multiple players across different domains. Transaction-based building controls are one part of the transactional energy framework. While these controls realize benefits by enabling automatic, market-based intra-building efficiency optimizations, the transactional energy framework provides similar benefits using the same market -based structure, yet on a larger scale and beyond just buildings, to the society at large.

  7. Better Buildings Neighborhood Program Business Models Guide:...

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

    Guide: HVAC Contractor Business Model Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model HVAC contractor business model...

  8. An expectation model of referring expressions

    E-Print Network [OSTI]

    Krćmer, John, Ph. D. Massachusetts Institute of Technology

    2010-01-01T23:59:59.000Z

    This thesis introduces EMRE, an expectation-based model of referring expressions. EMRE is proposed as a model of non-syntactic dependencies - in particular, discourse-level semantic dependencies that bridge sentence gaps. ...

  9. Reference Inflow Characterization for River Resource Reference Model (RM2)

    SciTech Connect (OSTI)

    Neary, Vincent S [ORNL

    2011-12-01T23:59:59.000Z

    Sandia National Laboratory (SNL) is leading an effort to develop reference models for marine and hydrokinetic technologies and wave and current energy resources. This effort will allow the refinement of technology design tools, accurate estimates of a baseline levelized cost of energy (LCoE), and the identification of the main cost drivers that need to be addressed to achieve a competitive LCoE. As part of this effort, Oak Ridge National Laboratory was charged with examining and reporting reference river inflow characteristics for reference model 2 (RM2). Published turbulent flow data from large rivers, a water supply canal and laboratory flumes, are reviewed to determine the range of velocities, turbulence intensities and turbulent stresses acting on hydrokinetic technologies, and also to evaluate the validity of classical models that describe the depth variation of the time-mean velocity and turbulent normal Reynolds stresses. The classical models are found to generally perform well in describing river inflow characteristics. A potential challenge in river inflow characterization, however, is the high variability of depth and flow over the design life of a hydrokinetic device. This variation can have significant effects on the inflow mean velocity and turbulence intensity experienced by stationary and bottom mounted hydrokinetic energy conversion devices, which requires further investigation, but are expected to have minimal effects on surface mounted devices like the vertical axis turbine device designed for RM2. A simple methodology for obtaining an approximate inflow characterization for surface deployed devices is developed using the relation umax=(7/6)V where V is the bulk velocity and umax is assumed to be the near-surface velocity. The application of this expression is recommended for deriving the local inflow velocity acting on the energy extraction planes of the RM2 vertical axis rotors, where V=Q/A can be calculated given a USGS gage flow time-series and stage vs. cross-section area rating relationship.

  10. DOE Commercial Reference Buildings Summary of Changes Between...

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

    Energy Commercial Building Benchmarks (New Construction): Summary of Changes from v1.03.0 to v1.13.1, May 5, 2009 Tax Deduction Qualified Software: EnergyPlus version 5.0.0.031...

  11. Building Information Modeling - A Minimum Mathematical Configuration 

    E-Print Network [OSTI]

    Bhandare, Ruchika

    2012-10-19T23:59:59.000Z

    information, whether it is in the form of drawings or documents. Building Information Modeling is the latest transformational technology that supports interactive development of design information for buildings. No single Building Information Modeling...

  12. Building Energy Modeling Library

    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 Future ofHydronicBuildingDepartmentDavidDepartment ofAmir

  13. Autotune Building Energy Models

    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 Automation WorldofAutotune Building Energy

  14. Autotune E+ Building Energy Models

    SciTech Connect (OSTI)

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

    2012-01-01T23:59:59.000Z

    This paper introduces a novel Autotune methodology under development for calibrating building energy models (BEM). It is aimed at developing an automated BEM tuning methodology that enables models to reproduce measured data such as utility bills, sub-meter, and/or sensor data accurately and robustly by selecting best-match E+ input parameters in a systematic, automated, and repeatable fashion. The approach is applicable to a building retrofit scenario and aims to quantify the trade-offs between tuning accuracy and the minimal amount of ground truth data required to calibrate the model. Autotune will use a suite of machine-learning algorithms developed and run on supercomputers to generate calibration functions. Specifically, the project will begin with a de-tuned model and then perform Monte Carlo simulations on the model by perturbing the uncertain parameters within permitted ranges. Machine learning algorithms will then extract minimal perturbation combinations that result in modeled results that most closely track sensor data. A large database of parametric EnergyPlus (E+) simulations has been made publicly available. Autotune is currently being applied to a heavily instrumented residential building as well as three light commercial buildings in which a de-tuned model is autotuned using faux sensor data from the corresponding target E+ model.

  15. Better Buildings Neighborhood Program Business Models Guide ...

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

    Guide Better Buildings Neighborhood Program Business Models Guide Uses lessons learned from Better Buildings grantees, existing data, and private sector insights to highlight...

  16. Environmental engineering (buildings): a bibliography. [Over 400 references

    SciTech Connect (OSTI)

    Vance, M.

    1983-01-01T23:59:59.000Z

    The international references listed in this bibliography address energy-efficient design in the built environment in economic and human terms. Other aspects of the built environment are seating arrangements in public vehicles, urban and underground architecture, and the social impacts of new designs and technologies. (DCK)

  17. DOE Commercial Reference Buildings Summary of Changes Between Versions |

    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&D Project forDepartment ofCurriculumII Building

  18. Building statistical models by visualization

    E-Print Network [OSTI]

    Minka,Tom

    books · "The Elements of Graphing Data", William Cleveland, 2nd Ed. · "Visualizing Data", WilliamBuilding statistical models by visualization Tom Minka CMU Statistics Dept #12;Outline-scatterplot for unpaired data · Quantile of x = fraction of points

  19. Iterative model-building, structure refinement, and density modification with the PHENIX AutoBuild Wizard

    E-Print Network [OSTI]

    Terwilliger, T. C.; Los Alamos National Laboratory, Mailstop M888, Los Alamos, NM 87545, USA; Lawrence Berkeley National Laboratory, One Cyclotron Road, Building 64R0121, Berkeley, CA 94720, USA; Department of Haematology, University of Cambridge, Cambridge CB2 0XY, England

    2008-01-01T23:59:59.000Z

    Iterative model-building, structure refinement, and densitytool for iterative model- building, structure refinement andusing RESOLVE or TEXTAL model- building, RESOLVE statistical

  20. A View on Future Building System Modeling and Simulation

    SciTech Connect (OSTI)

    Wetter, Michael

    2011-04-01T23:59:59.000Z

    This chapter presents what a future environment for building system modeling and simulation may look like. As buildings continue to require increased performance and better comfort, their energy and control systems are becoming more integrated and complex. We therefore focus in this chapter on the modeling, simulation and analysis of building energy and control systems. Such systems can be classified as heterogeneous systems because they involve multiple domains, such as thermodynamics, fluid dynamics, heat and mass transfer, electrical systems, control systems and communication systems. Also, they typically involve multiple temporal and spatial scales, and their evolution can be described by coupled differential equations, discrete equations and events. Modeling and simulating such systems requires a higher level of abstraction and modularisation to manage the increased complexity compared to what is used in today's building simulation programs. Therefore, the trend towards more integrated building systems is likely to be a driving force for changing the status quo of today's building simulation programs. Thischapter discusses evolving modeling requirements and outlines a path toward a future environment for modeling and simulation of heterogeneous building systems.A range of topics that would require many additional pages of discussion has been omitted. Examples include computational fluid dynamics for air and particle flow in and around buildings, people movement, daylight simulation, uncertainty propagation and optimisation methods for building design and controls. For different discussions and perspectives on the future of building modeling and simulation, we refer to Sahlin (2000), Augenbroe (2001) and Malkawi and Augenbroe (2004).

  1. Better Buildings Neighborhood Program Business Models Guide:...

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

    Non-Utility Program Administrator Business Model Better Buildings Neighborhood Program Business Models Guide: Non-Utility Program Administrator Business Model Non-utility program...

  2. 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.

  3. Better Buildings Neighborhood Program Business Models Guide:...

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

    Utility program administrator market utilityprogramadministratormarket.pdf More Documents & Publications Better Buildings Neighborhood Program Business Models Guide: Utility...

  4. The Structure of Tradeoffs in Model Building

    E-Print Network [OSTI]

    Weisberg, Michael

    The Structure of Tradeoffs in Model Building John Matthewson Australia National University Michael of model building depending on their theoretical goals (1966). His own discussion argued that a three three types of tradeoff relevant for model building. After giving definitions for these, we investigate

  5. Modeling of Residential Buildings and Heating Systems

    E-Print Network [OSTI]

    Masy, G.; Lebrun, J.

    2004-01-01T23:59:59.000Z

    -zone building model is used in each case. A model of the heating system is also used for the multi-storey building. Both co-heating and tracer gas measurements are used in order to adjust the parameters of each building model. A complete monitoring...

  6. Modeling of Residential Buildings and Heating Systems 

    E-Print Network [OSTI]

    Masy, G.; Lebrun, J.

    2004-01-01T23:59:59.000Z

    -zone building model is used in each case. A model of the heating system is also used for the multi-storey building. Both co-heating and tracer gas measurements are used in order to adjust the parameters of each building model. A complete monitoring...

  7. Calibrating Building Energy Models Using Supercomputer Trained Machine Learning Agents

    SciTech Connect (OSTI)

    Sanyal, Jibonananda [ORNL] [ORNL; New, Joshua Ryan [ORNL] [ORNL; Edwards, Richard [ORNL] [ORNL; Parker, Lynne Edwards [ORNL] [ORNL

    2014-01-01T23:59:59.000Z

    Building Energy Modeling (BEM) is an approach to model the energy usage in buildings for design and retrofit purposes. EnergyPlus is the flagship Department of Energy software that performs BEM for different types of buildings. The input to EnergyPlus can often extend in the order of a few thousand parameters which have to be calibrated manually by an expert for realistic energy modeling. This makes it challenging and expensive thereby making building energy modeling unfeasible for smaller projects. In this paper, we describe the Autotune research which employs machine learning algorithms to generate agents for the different kinds of standard reference buildings in the U.S. building stock. The parametric space and the variety of building locations and types make this a challenging computational problem necessitating the use of supercomputers. Millions of EnergyPlus simulations are run on supercomputers which are subsequently used to train machine learning algorithms to generate agents. These agents, once created, can then run in a fraction of the time thereby allowing cost-effective calibration of building models.

  8. Sandia Energy - Marine Hydrokinetics Technology: Reference Model

    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-VoltagePowerUpdatesDevelopment Reference Model

  9. Reference Buildings by Building Type: Stand-alone retail | 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'tOrigin of ContaminationHubs+18, 2012EnergyBuildingEnergy

  10. NREL's Building Component Library for Use with Energy Models

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

    The Building Component Library (BCL) is the U.S. Department of Energy’s comprehensive online searchable library of energy modeling building blocks and descriptive metadata. Novice users and seasoned practitioners can use the freely available and uniquely identifiable components to create energy models and cite the sources of input data, which will increase the credibility and reproducibility of their simulations. The BCL contains components which are the building blocks of an energy model. They can represent physical characteristics of the building such as roofs, walls, and windows, or can refer to related operational information such as occupancy and equipment schedules and weather information. Each component is identified through a set of attributes that are specific to its type, as well as other metadata such as provenance information and associated files. The BCL also contains energy conservation measures (ECM), referred to as measures, which describe a change to a building and its associated model. For the BCL, this description attempts to define a measure for reproducible application, either to compare it to a baseline model, to estimate potential energy savings, or to examine the effects of a particular implementation. The BCL currently contains more than 30,000 components and measures. A faceted search mechanism has been implemented on the BCL that allows users to filter through the search results using various facets. Facet categories include component and measure types, data source, and energy modeling software type. All attributes of a component or measure can also be used to filter the results.

  11. Model Reference Adaptive Control Framework for Real Time Traffic

    E-Print Network [OSTI]

    Minnesota, University of

    Adaptive Control #12;12 Prescriptive Dynamic Traffic Assignment A Prediction Model and the Reference ModelModel Reference Adaptive Control Framework for Real Time Traffic Management Under Emergency Movement Volume Adaptive Controller Model Reference Adaptive Control (MRAC) Assumptions Super Zone Concept

  12. Reference Buildings by Building Type: Stand-alone retail | 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'tOrigin of ContaminationHubs+18, 2012EnergyBuildingEnergy new2004_v1.3_5.0.zip

  13. Reference Buildings by Building Type: Stand-alone retail | 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'tOrigin of ContaminationHubs+18, 2012EnergyBuildingEnergy new2004_v1.3_5.0.zipEnergy

  14. Better Buildings Neighborhood Program Business Models Guide

    Broader source: Energy.gov [DOE]

    Uses lessons learned from Better Buildings grantees, existing data, and private sector insights to highlight business models that can help develop a sustainable residential energy efficiency market.

  15. Reference worldwide model for antineutrinos from reactors

    E-Print Network [OSTI]

    Marica Baldoncini; Ivan Callegari; Giovanni Fiorentini; Fabio Mantovani; Barbara Ricci; Virginia Strati; Gerti Xhixha

    2015-02-16T23:59:59.000Z

    Antineutrinos produced at nuclear reactors constitute a severe source of background for the detection of geoneutrinos, which bring to the Earth's surface information about natural radioactivity in the whole planet. In this framework we provide a reference worldwide model for antineutrinos from reactors, in view of reactors operational records yearly published by the International Atomic Energy Agency (IAEA). We evaluate the expected signal from commercial reactors for ongoing (KamLAND and Borexino), planned (SNO+) and proposed (Juno, RENO-50, LENA and Hanohano) experimental sites. Uncertainties related to reactor antineutrino production, propagation and detection processes are estimated using a Monte Carlo based approach, which provides an overall site dependent uncertainty on the signal in the geoneutrino energy window on the order of 3%. We also implement the off-equilibrium correction to the reference reactor spectra associated with the long-lived isotopes and we estimate a 2.4% increase of the unoscillated event rate in the geoneutrino energy window due to the storage of spent nuclear fuels in the cooling pools. We predict that the research reactors contribute to less than 0.2% to the commercial reactor signal in the investigated 14 sites. We perform a multitemporal analysis of the expected reactor signal over a time lapse of 10 years using reactor operational records collected in a comprehensive database published at www.fe.infn.it/antineutrino.

  16. Using Enterprise Reference Models for Automated ISO 9000 Compliance Evaluation

    E-Print Network [OSTI]

    Fox, Mark S.

    1 Using Enterprise Reference Models for Automated ISO 9000 Compliance Evaluation Henry M. Kim1, and then compared to a reference model of "good" processes and structures, such as the ISO 9000 standards. In this paper, the TOVE ISO 9000 Micro-Theory is presented as a formal reference model of quality goodness. ISO

  17. Reference Model for Control and Automation Systems in Electrical...

    Office of Environmental Management (EM)

    Model for Control and Automation Systems in Electrical Power (October 2005) Reference Model for Control and Automation Systems in Electrical Power (October 2005) Modern...

  18. DOE Commercial Building Benchmark Models: Preprint

    SciTech Connect (OSTI)

    Torcelini, P.; Deru, M.; Griffith, B.; Benne, K.; Halverson, M.; Winiarski, D.; Crawley, D. B.

    2008-07-01T23:59:59.000Z

    To provide a consistent baseline of comparison and save time conducting such simulations, the U.S. Department of Energy (DOE) has developed a set of standard benchmark building models. This paper will provide an executive summary overview of these benchmark buildings, and how they can save building analysts valuable time. Fully documented and implemented to use with the EnergyPlus energy simulation program, the benchmark models are publicly available and new versions will be created to maintain compatibility with new releases of EnergyPlus. The benchmark buildings will form the basis for research on specific building technologies, energy code development, appliance standards, and measurement of progress toward DOE energy goals. Having a common starting point allows us to better share and compare research results and move forward to make more energy efficient buildings.

  19. Better Buildings Neighborhood Program Business Models Guide: Program Administrator Description

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Business Models Guide: Program Administrator Business Models, Program Administrator Description.

  20. From Clinical Practice Guideline to Clinical Pathway Issues of Reference Model-Based Approach

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    From Clinical Practice Guideline to Clinical Pathway­ Issues of Reference Model-Based Approach. Building Health networks and standardization of clinical processes are the main trend facing these challenges. Actually, the main instrument for documentation and managing of clinical processes are Clinical

  1. Automatic building modeling from terrestrial laser scanning

    E-Print Network [OSTI]

    Pu, Shi

    Automatic building modeling from terrestrial laser scanning Shi Pu International Institute for Geo hard to recover 3D building structures from 2D image. Recent studies ([2] [6]) show that laser scanning imagery, airborne and terrestrial laser scanning give explicit 3D information, which enables the rapid

  2. Reference Model for Control and Automation Systems in Electrical...

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

    Reference Model for Control and Automation Systems in Electrical Power Version 1.2 October 12, 2005 Prepared by: Sandia National Laboratories' Center for SCADA Security Jason...

  3. Model Simulating Real Domestic Hot Water Use - Building America...

    Energy Savers [EERE]

    Model Simulating Real Domestic Hot Water Use - Building America Top Innovation Model Simulating Real Domestic Hot Water Use - Building America Top Innovation Image of a pipe...

  4. Integrating Building Information Modeling with Object-Oriented Physical Modeling for Building Thermal Simulation

    E-Print Network [OSTI]

    Jeong, Woon Seong

    2014-09-05T23:59:59.000Z

    the framework, and (2) the model manually created using Lawrence Berkeley National Laboratory’s Modelica Buildings library. The results show that the framework: (1) enables BIM models to be translated into ModelicaBEM models, (2) enables system interface...

  5. Building Distributed Energy Performance Optimization for China a Regional Analysis of Building Energy Costs and CO2 Emissions

    E-Print Network [OSTI]

    Feng, Wei

    2013-01-01T23:59:59.000Z

    Department of Energy Commercial Reference Building Models ofthe National Building Stock. Golden, Colorado: Nationaland Renewable Energy, Building Technologies Program, of the

  6. Towards a Very Low Energy Building Stock: Modeling the US Commercial Building Sector

    E-Print Network [OSTI]

    Towards a Very Low Energy Building Stock: Modeling the US Commercial Building Sector to Support and continuing development of a model of time varying energy consumption in the US commercial building stock targeting very low future energy consumption in the building stock. Model use has highlighted the scale

  7. Building Energy Modeling (BEM) Overview

    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 Future ofHydronicBuildingDepartmentDavidDepartment of

  8. 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...

  9. Comprehensive Evaluation Model of Building Energy Efficiency Based on Rough Sets Theory

    E-Print Network [OSTI]

    Ding, L.; Ruan, X.; Huang, J.; Li, Y.

    2006-01-01T23:59:59.000Z

    of building the paper precedes energy evaluation. There is method of ambiguity synthesis evaluation chiefly, but ambiguity optimization model gets weight normalization indicator by adopting commonly expert evaluation or empirical evidence method, so... and Comfort, Vol. VI-3-1 The evaluation of building energy efficiency evaluation subentry index and establishment of reference grade table The value of building energy efficiency subentry index evaluation should be graded by authoritative experts...

  10. Preview Draft References for Modeling the Environment

    E-Print Network [OSTI]

    Ford, Andrew

    River, NJ, Prentice Hall. Claussen, M and multiple co-autors. 2000. Earth system models of intermediate

  11. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01T23:59:59.000Z

    Building thermal loadThe building thermal load predictor. . . . . . . .of Figures 1.1 Classification schematic for building MPC

  12. Distributed Probabilistic Model-Building Genetic Algorithm

    E-Print Network [OSTI]

    Dongarra, Jack

    is considered by Principal Component Analysis (PCA) when the off- springs are generated. The island modelDistributed Probabilistic Model-Building Genetic Algorithm Tomoyuki Hiroyasu1 , Mitsunori Miki1), Distributed PMBGA (DPMBGA), is proposed. In the DPMBGA, the correlation among the design variables

  13. Supersymmetric Model Building (and Sweet Spot Supersymmetry)

    E-Print Network [OSTI]

    Masahiro Ibe; Ryuichiro Kitano

    2007-12-19T23:59:59.000Z

    It has been more than twenty years since theorists started discussing supersymmetric model building/phenomenology. We review mechanisms of supersymmetry breaking/mediation and problems in each scenario. We propose a simple model to address those problems and discuss its phenomenology.

  14. Model building techniques for analysis.

    SciTech Connect (OSTI)

    Walther, Howard P.; McDaniel, Karen Lynn; Keener, Donald; Cordova, Theresa Elena; Henry, Ronald C.; Brooks, Sean; Martin, Wilbur D.

    2009-09-01T23:59:59.000Z

    The practice of mechanical engineering for product development has evolved into a complex activity that requires a team of specialists for success. Sandia National Laboratories (SNL) has product engineers, mechanical designers, design engineers, manufacturing engineers, mechanical analysts and experimentalists, qualification engineers, and others that contribute through product realization teams to develop new mechanical hardware. The goal of SNL's Design Group is to change product development by enabling design teams to collaborate within a virtual model-based environment whereby analysis is used to guide design decisions. Computer-aided design (CAD) models using PTC's Pro/ENGINEER software tools are heavily relied upon in the product definition stage of parts and assemblies at SNL. The three-dimensional CAD solid model acts as the design solid model that is filled with all of the detailed design definition needed to manufacture the parts. Analysis is an important part of the product development process. The CAD design solid model (DSM) is the foundation for the creation of the analysis solid model (ASM). Creating an ASM from the DSM currently is a time-consuming effort; the turnaround time for results of a design needs to be decreased to have an impact on the overall product development. This effort can be decreased immensely through simple Pro/ENGINEER modeling techniques that summarize to the method features are created in a part model. This document contains recommended modeling techniques that increase the efficiency of the creation of the ASM from the DSM.

  15. Report on High Performance Building's Energy Modeling, Physical Building Information Modeling for Solar Building Design and Simulation

    E-Print Network [OSTI]

    Alcocer, J.; Haberl, J. S.

    2012-01-01T23:59:59.000Z

    This report was created for the National Science Foundation-Physical Building Information Modeling (NSF-PBIM) project. This report describes the analysis of a solar office building using the following software: the legacy tools (DOE 2.1e, the F...

  16. Report on High Performance Building's Energy Modeling, Physical Building Information Modeling for Solar Building Design and Simulation 

    E-Print Network [OSTI]

    Alcocer, J.; Haberl, J. S.

    2012-01-01T23:59:59.000Z

    This report was created for the National Science Foundation-Physical Building Information Modeling (NSF-PBIM) project. This report describes the analysis of a solar office building using the following software: the legacy tools (DOE 2.1e, the F...

  17. Heterotic Model Building: 16 Special Manifolds

    E-Print Network [OSTI]

    Yang-Hui He; Seung-Joo Lee; Andre Lukas; Chuang Sun

    2014-05-13T23:59:59.000Z

    We study heterotic model building on 16 specific Calabi-Yau manifolds constructed as hypersurfaces in toric four-folds. These 16 manifolds are the only ones among the more than half a billion manifolds in the Kreuzer-Skarke list with a non-trivial first fundamental group. We classify the line bundle models on these manifolds, both for SU(5) and SO(10) GUTs, which lead to consistent supersymmetric string vacua and have three chiral families. A total of about 29000 models is found, most of them corresponding to SO(10) GUTs. These models constitute a starting point for detailed heterotic model building on Calabi-Yau manifolds in the Kreuzer-Skarke list. The data for these models can be downloaded here: http://www-thphys.physics.ox.ac.uk/projects/CalabiYau/toricdata/index.html

  18. Hybrid Model of Existing Buildings for Transient Thermal Performance Estimation

    E-Print Network [OSTI]

    Xu, X.; Wang, S.

    2006-01-01T23:59:59.000Z

    Building level energy models are important to provide accurate prediction of energy consumption for building performance diagnosis and energy efficiency assessment of retrofitting alternatives for building performance upgrading. Simplified...

  19. Evaluating Energy Performance and Improvement Potential of China Office Buildings in the Hot Humid Climate Against U.S. Reference Buildings: Preprint

    SciTech Connect (OSTI)

    Herrman, L.; Deru, M.; Zhai, J.

    2010-08-01T23:59:59.000Z

    This study compares the building code standards for office buildings in hot humid climates of China and the USA. A benchmark office building model is developed for Guangzhou, China that meets China's minimum national and regional building codes with incorporation of common design and construction practices for the area. The Guangzhou office benchmark model is compared to the ASHRAE standard based US model for Houston, Texas which has similar climate conditions. The research further uses a building energy optimization tool to optimize the Chinese benchmark with existing US products to identify the primary areas for potential energy savings. The most significant energy-saving options are then presented as recommendations for potential improvements to current China building codes.

  20. 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.

  1. Iterative-build OMIT maps: map improvement by iterative model building and refinement without model bias

    SciTech Connect (OSTI)

    Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Los Alamos National Laboratory, Los Alamos, NM 87545 (United States); Grosse-Kunstleve, Ralf W.; Afonine, Pavel V.; Moriarty, Nigel W.; Adams, Paul D. [Lawrence Berkeley National Laboratory, One Cyclotron Road, Building 64R0121, Berkeley, CA 94720 (United States); Read, Randy J. [Department of Haematology, University of Cambridge, Cambridge CB2 0XY (United Kingdom); Zwart, Peter H. [Lawrence Berkeley National Laboratory, One Cyclotron Road, Building 64R0121, Berkeley, CA 94720 (United States); Hung, Li-Wei [Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)

    2008-05-01T23:59:59.000Z

    An OMIT procedure is presented that has the benefits of iterative model building density modification and refinement yet is essentially unbiased by the atomic model that is built. A procedure for carrying out iterative model building, density modification and refinement is presented in which the density in an OMIT region is essentially unbiased by an atomic model. Density from a set of overlapping OMIT regions can be combined to create a composite ‘iterative-build’ OMIT map that is everywhere unbiased by an atomic model but also everywhere benefiting from the model-based information present elsewhere in the unit cell. The procedure may have applications in the validation of specific features in atomic models as well as in overall model validation. The procedure is demonstrated with a molecular-replacement structure and with an experimentally phased structure and a variation on the method is demonstrated by removing model bias from a structure from the Protein Data Bank.

  2. 3457, Page, 1 Coupled CFD/Building Envelope Model

    E-Print Network [OSTI]

    Gugercin, Serkan

    ) for the building thermal network. The final form of the state-space building envelope system is: x(t) = A x(t) + Bw3457, Page, 1 Coupled CFD/Building Envelope Model for the Purdue Living Lab Donghun KIM (kim1077 features. In the present case we develop a procedure for coupling a building envelope model to a CFD

  3. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01T23:59:59.000Z

    more sophisticated building automation systems and buildingthrough the building automation system “Automated Logic Websystem. ALC is a building automation system, offering a user

  4. Functional Testing Protocols for Commercial Building Efficiency Baseline Modeling Software

    SciTech Connect (OSTI)

    Jump, David; Price, Phillip N.; Granderson, Jessica; Sohn, Michael

    2013-09-06T23:59:59.000Z

    This document describes procedures for testing and validating proprietary baseline energy modeling software accuracy in predicting energy use over the period of interest, such as a month or a year. The procedures are designed according to the methodology used for public domain baselining software in another LBNL report that was (like the present report) prepared for Pacific Gas and Electric Company: ?Commercial Building Energy Baseline Modeling Software: Performance Metrics and Method Testing with Open Source Models and Implications for Proprietary Software Testing Protocols? (referred to here as the ?Model Analysis Report?). The test procedure focuses on the quality of the software?s predictions rather than on the specific algorithms used to predict energy use. In this way the software vendor is not required to divulge or share proprietary information about how their software works, while enabling stakeholders to assess its performance.

  5. 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...

  6. Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model Introduction

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model Introduction.

  7. Model Building with F-Theory

    E-Print Network [OSTI]

    Ron Donagi; Martijn Wijnholt

    2012-04-03T23:59:59.000Z

    Despite much recent progress in model building with D-branes, it has been problematic to find a completely convincing explanation of gauge coupling unification. We extend the class of models by considering F-theory compactifications, which may incorporate unification more naturally. We explain how to derive the charged chiral spectrum and Yukawa couplings in N=1 compactifications of F-theory with G-flux. In a class of models which admit perturbative heterotic duals, we show that the F-theory and heterotic computations match.

  8. 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...

  9. Estimation of Building Parameters Using Simplified Energy Balance Model and Metered Whole Building Energy Use

    E-Print Network [OSTI]

    Masuda, H.; Claridge, D.

    2012-01-01T23:59:59.000Z

    , cooling and heating and weather data using multiple linear regression models based on the simplified steady-state energy balance for a whole building. Two approaches using different response variables: the energy balance load (EBL) and the building thermal...

  10. Estimation of Building Parameters Using Simplified Energy Balance Model and Metered Whole Building Energy Use 

    E-Print Network [OSTI]

    Masuda, H.; Claridge, D.

    2012-01-01T23:59:59.000Z

    , cooling and heating and weather data using multiple linear regression models based on the simplified steady-state energy balance for a whole building. Two approaches using different response variables: the energy balance load (EBL) and the building thermal...

  11. Progress in D-brane model building

    E-Print Network [OSTI]

    Fernando Marchesano

    2007-03-05T23:59:59.000Z

    The state of the art in D-brane model building is briefly reviewed, focusing on recent achievements in the construction of D=4 N = 1 type II string vacua with semi-realistic gauge sectors. Such progress relies on a better understanding of the spectrum of BPS D-branes, the effective field theory obtained from them and the explicit construction of vacua. We first consider D-branes in standard Calabi-Yau compactifications, and then the more involved case of compactifications with fluxes. We discuss how the non-trivial interplay between D-branes and fluxes modifies the previous model-building rules, as well as provides new possibilities to connect string theory to particle physics.

  12. 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.

  13. Methodology for Modeling Building Energy Performance across the Commercial Sector

    SciTech Connect (OSTI)

    Griffith, B.; Long, N.; Torcellini, P.; Judkoff, R.; Crawley, D.; Ryan, J.

    2008-03-01T23:59:59.000Z

    This report uses EnergyPlus simulations of each building in the 2003 Commercial Buildings Energy Consumption Survey (CBECS) to document and demonstrate bottom-up methods of modeling the entire U.S. commercial buildings sector (EIA 2006). The ability to use a whole-building simulation tool to model the entire sector is of interest because the energy models enable us to answer subsequent 'what-if' questions that involve technologies and practices related to energy. This report documents how the whole-building models were generated from the building characteristics in 2003 CBECS and compares the simulation results to the survey data for energy use.

  14. Evolutionary Tuning of Building Models to Monthly Electrical Consumption

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    % of the world's primary energy and contributes 21% of the world's greenhouse gas emissions (DOE Buildings Data Book 2011). The largest sector of energy consumption is the ~119 million buildings in the US which New, PhD Theodore Chandler Member ASHRAE ABSTRACT Building energy models of existing buildings

  15. Markovian Models for Electrical Load Prediction in Smart Buildings

    E-Print Network [OSTI]

    California at Santa Barbara, University of

    Markovian Models for Electrical Load Prediction in Smart Buildings Muhammad Kumail Haider, Asad,13100004,ihsan.qazi}@lums.edu.pk Abstract. Developing energy consumption models for smart buildings is important develop parsimo- nious Markovian models of smart buildings for different periods in a day for predicting

  16. BUILDING SURROGATE MODELS BASED ON DETAILED AND APPROXIMATE SIMULATIONS

    E-Print Network [OSTI]

    Seepersad, Carolyn Conner

    - Page 1 - BUILDING SURROGATE MODELS BASED ON DETAILED AND APPROXIMATE SIMULATIONS Zhiguang Qian is taken to integrate data from approximate and detailed simulations to build a surrogate model approximate simulations form the bulk of the data, and they are used to build a model based on a Gaussian

  17. Validation of the Window Model of the Modelica Buildings Library

    E-Print Network [OSTI]

    LBNL-5735E Validation of the Window Model of the Modelica Buildings Library Thierry Stephane MODEL OF THE MODELICA BUILDINGS LIBRARY Thierry Stephane Nouidui, Michael Wetter, and Wangda Zuo the validation of the window model of the free open-source Modelica Buildings library. This paper starts

  18. JEDI Marine and Hydrokinetic Model: User Reference Guide

    SciTech Connect (OSTI)

    Goldberg, M.; Previsic, M.

    2011-04-01T23:59:59.000Z

    The Jobs and Economic Development Impact Model (JEDI) for Marine and Hydrokinetics (MHK) is a user-friendly spreadsheet-based tool designed to demonstrate the economic impacts associated with developing and operating MHK power systems in the United States. The JEDI MHK User Reference Guide was developed to assist users in using and understanding the model. This guide provides information on the model's underlying methodology, as well as the sources and parameters used to develop the cost data utilized in the model. This guide also provides basic instruction on model add-in features, operation of the model, and a discussion of how the results should be interpreted.

  19. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01T23:59:59.000Z

    solution”. In: Energy and Buildings 52.0 (2012), pp. 39–49.with GenOpt”. In: Energy and Buildings 42.7 (2010), pp.lation Program”. In: Energy and Buildings 33.4 (2001), pp.

  20. Modeling the Arterial System with Reference to an Anesthesia Simulator

    E-Print Network [OSTI]

    Olufsen, Mette Sofie

    Modeling the Arterial System with Reference to an Anesthesia Simulator Ph.D. Thesis 1 by Mette), and at the Department of Anesthesia, Herlev University Hospital. The study has been organized as an industrial Ph S.A. Pedersen, Roskilde University, and M.D. P.F. Jensen, Ph.D., Department of Anesthesia, Herlev

  1. Reference wind farm selection for regional wind power prediction models

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Reference wind farm selection for regional wind power prediction models Nils Siebert George.siebert@ensmp.fr, georges.kariniotakis@ensmp.fr Abstract Short-term wind power forecasting is recognized today as a major requirement for a secure and economic integration of wind generation in power systems. This paper deals

  2. A Configurable Reference Modelling Language1 M. Rosemanna

    E-Print Network [OSTI]

    van der Aalst, Wil

    , Configuration, Event-driven Process Chains 1 This research project is financially supported by SAP Corporate reference models "just" depict the possible system capabilities and cannot sufficiently guide the project, Eindhoven, The Netherlands, w.m.p.v.d.aalst@tm.tue.nl Abstract Enterprise Systems (ES) are comprehensive off

  3. Iterative build OMIT maps: Map improvement by iterative model-building and refinement without model bias

    SciTech Connect (OSTI)

    Los Alamos National Laboratory, Mailstop M888, Los Alamos, NM 87545, USA; Lawrence Berkeley National Laboratory, One Cyclotron Road, Building 64R0121, Berkeley, CA 94720, USA; Department of Haematology, University of Cambridge, Cambridge CB2 0XY, England; Terwilliger, Thomas; Terwilliger, T.C.; Grosse-Kunstleve, Ralf Wilhelm; Afonine, P.V.; Moriarty, N.W.; Zwart, P.H.; Hung, L.-W.; Read, R.J.; Adams, P.D.

    2008-02-12T23:59:59.000Z

    A procedure for carrying out iterative model-building, density modification and refinement is presented in which the density in an OMIT region is essentially unbiased by an atomic model. Density from a set of overlapping OMIT regions can be combined to create a composite 'Iterative-Build' OMIT map that is everywhere unbiased by an atomic model but also everywhere benefiting from the model-based information present elsewhere in the unit cell. The procedure may have applications in the validation of specific features in atomic models as well as in overall model validation. The procedure is demonstrated with a molecular replacement structure and with an experimentally-phased structure, and a variation on the method is demonstrated by removing model bias from a structure from the Protein Data Bank.

  4. Gauge symmetry breaking in orbifold model building

    E-Print Network [OSTI]

    Michele Trapletti

    2006-11-02T23:59:59.000Z

    We review the gauge symmetry breaking mechanism due to orbifold projections in orbifold model building. We explicitly show the existence of a scale of breaking if such a symmetry breaking is due to freely-acting orbifold operators only, i.e. in case the breaking is realized non-locally in the internal space. We show that such a scale is related to the compactification moduli only, and that there are no extra continuous parameters, at least in semirealistic models with N=1 SUSY in four dimensions. In this sense, the mechanism is peculiarly different from the standard Higgs (or Hosotani) symmetry breaking mechanism. We show that the mechanism also differs from that present in standard orbifold models where, even in presence of discrete Wilson lines, a scale of breaking is generically missing, since the breaking is localized in specific points in the internal space. We review a set of background geometries where the described non-local breaking is realized, both in the case of two and six extra dimensions. In the latter case, relevant in string model building, we consider both heterotic and open string compactifications.

  5. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01T23:59:59.000Z

    control logic for building energy systems. Most moderncontrol actuators. Modern digital building automation systemssystem in the lab. The lab is equipped with a modern digital control

  6. Physical Building Information Modeling for Solar Building Design and Simulation- Annual Report 2011

    E-Print Network [OSTI]

    Yan, W.; Haberl, J.; Clayton, M.; Jeong, W.; Kim, J.; Kota, S.; Alcocer, J.; Dixit, M.

    2011-01-01T23:59:59.000Z

    information from BIM to Radiance. For Building Integrated Photovoltaic (BIPV), we have researched on how to build solar models in BIM that can calculate solar position and solar insolation. 1.2 Research on BIM simplification methods, BIM topology, and data... we will continue investigating the use of Modelica to integrate the daylighting modeling with thermal modeling. 4 c) BIPV prototypes We have developed a Building Integrated Photovoltaic (BIPV) prototype in the BIM (Autodesk Revit) platform...

  7. Reference Model 6 (RM6): Oscillating Wave Energy Converter.

    SciTech Connect (OSTI)

    Bull, Diana L; Smith, Chris; Jenne, Dale Scott; Jacob, Paul; Copping, Andrea; Willits, Steve; Fontaine, Arnold; Brefort, Dorian; Gordon, Margaret Ellen; Copeland, Robert; Jepsen, Richard A.

    2014-10-01T23:59:59.000Z

    This report is an addendum to SAND2013-9040: Methodology for Design and Economic Analysis of Marine Energy Conversion (MEC) Technologies. This report describes an Oscillating Water Column Wave Energy Converter reference model design in a complementary manner to Reference Models 1-4 contained in the above report. In this report, a conceptual design for an Oscillating Water Column Wave Energy Converter (WEC) device appropriate for the modeled reference resource site was identified, and a detailed backward bent duct buoy (BBDB) device design was developed using a combination of numerical modeling tools and scaled physical models. Our team used the methodology in SAND2013-9040 for the economic analysis that included costs for designing, manufacturing, deploying, and operating commercial-scale MEC arrays, up to 100 devices. The methodology was applied to identify key cost drivers and to estimate levelized cost of energy (LCOE) for this RM6 Oscillating Water Column device in dollars per kilowatt-hour (%24/kWh). Although many costs were difficult to estimate at this time due to the lack of operational experience, the main contribution of this work was to disseminate a detailed set of methodologies and models that allow for an initial cost analysis of this emerging technology. This project is sponsored by the U.S. Department of Energy's (DOE) Wind and Water Power Technologies Program Office (WWPTO), within the Office of Energy Efficiency & Renewable Energy (EERE). Sandia National Laboratories, the lead in this effort, collaborated with partners from National Laboratories, industry, and universities to design and test this reference model.

  8. Building a Network Simulation Model of the Teragrid Network

    E-Print Network [OSTI]

    Jiang, Wen

    Building a Network Simulation Model of the Teragrid Network Thomas Hacker Preston Smith* Computer are building largescale cyberinfrastructure systems, which couple computing, storage, data publishing is increasingly powered by simulation and analysis that combines high performance computers

  9. Hybrid Model for Building Performance Diagnosis and Optimal Control 

    E-Print Network [OSTI]

    Wang, S.; Xu, X.

    2003-01-01T23:59:59.000Z

    Modern buildings require continuous performance monitoring, automatic diagnostics and optimal supervisory control. For these applications, simplified dynamic building models are needed to predict the cooling and heating requirement viewing...

  10. Supercomputer Assisted Generation of Machine Learning Agents for the Calibration of Building Energy Models

    SciTech Connect (OSTI)

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

    2013-01-01T23:59:59.000Z

    Building Energy Modeling (BEM) is an approach to model the energy usage in buildings for design and retrot pur- poses. EnergyPlus is the agship Department of Energy software that performs BEM for dierent types of buildings. The input to EnergyPlus can often extend in the order of a few thousand parameters which have to be calibrated manu- ally by an expert for realistic energy modeling. This makes it challenging and expensive thereby making building en- ergy modeling unfeasible for smaller projects. In this paper, we describe the \\Autotune" research which employs machine learning algorithms to generate agents for the dierent kinds of standard reference buildings in the U.S. building stock. The parametric space and the variety of building locations and types make this a challenging computational problem necessitating the use of supercomputers. Millions of En- ergyPlus simulations are run on supercomputers which are subsequently used to train machine learning algorithms to generate agents. These agents, once created, can then run in a fraction of the time thereby allowing cost-eective cali- bration of building models.

  11. Reference Model 5 (RM5): Oscillating Surge Wave Energy Converter

    SciTech Connect (OSTI)

    Yu, Y. H.; Jenne, D. S.; Thresher, R.; Copping, A.; Geerlofs, S.; Hanna, L. A.

    2015-01-01T23:59:59.000Z

    This report is an addendum to SAND2013-9040: Methodology for Design and Economic Analysis of Marine Energy Conversion (MEC) Technologies. This report describes an Oscillating Water Column Wave Energy Converter (OSWEC) reference model design in a complementary manner to Reference Models 1-4 contained in the above report. A conceptual design for a taut moored oscillating surge wave energy converter was developed. The design had an annual electrical power of 108 kilowatts (kW), rated power of 360 kW, and intended deployment at water depths between 50 m and 100 m. The study includes structural analysis, power output estimation, a hydraulic power conversion chain system, and mooring designs. The results were used to estimate device capital cost and annual operation and maintenance costs. The device performance and costs were used for the economic analysis, following the methodology presented in SAND2013-9040 that included costs for designing, manufacturing, deploying, and operating commercial-scale MEC arrays up to 100 devices. The levelized cost of energy estimated for the Reference Model 5 OSWEC, presented in this report, was for a single device and arrays of 10, 50, and 100 units, and it enabled the economic analysis to account for cost reductions associated with economies of scale. The baseline commercial levelized cost of energy estimate for the Reference Model 5 device in an array comprised of 10 units is $1.44/kilowatt-hour (kWh), and the value drops to approximately $0.69/kWh for an array of 100 units.

  12. Thermal building simulation and computer generation of nodal models

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Thermal building simulation and computer generation of nodal models H. BOYER, J.P. CHABRIAT, B in the development of several packages simulating the dynamic behaviour of buildings. This paper shows the adaptation. This article shows the chosen method in the case of our thermal simulation program for buildings, CODYRUN. #12

  13. Iterative model building, structure refinement and density modification with the PHENIX AutoBuild wizard

    SciTech Connect (OSTI)

    Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Los Alamos National Laboratory, Mailstop M888, Los Alamos, NM 87545 (United States); Grosse-Kunstleve, Ralf W.; Afonine, Pavel V.; Moriarty, Nigel W.; Zwart, Peter H. [Lawrence Berkeley National Laboratory, One Cyclotron Road, Building 64R0121, Berkeley, CA 94720 (United States); Hung, Li-Wei [Los Alamos National Laboratory, Mailstop M888, Los Alamos, NM 87545 (United States); Read, Randy J. [Department of Haematology, University of Cambridge, Cambridge CB2 0XY (United Kingdom); Adams, Paul D., E-mail: terwilliger@lanl.gov [Lawrence Berkeley National Laboratory, One Cyclotron Road, Building 64R0121, Berkeley, CA 94720 (United States); Los Alamos National Laboratory, Mailstop M888, Los Alamos, NM 87545 (United States)

    2008-01-01T23:59:59.000Z

    The highly automated PHENIX AutoBuild wizard is described. The procedure can be applied equally well to phases derived from isomorphous/anomalous and molecular-replacement methods. The PHENIX AutoBuild wizard is a highly automated tool for iterative model building, structure refinement and density modification using RESOLVE model building, RESOLVE statistical density modification and phenix.refine structure refinement. Recent advances in the AutoBuild wizard and phenix.refine include automated detection and application of NCS from models as they are built, extensive model-completion algorithms and automated solvent-molecule picking. Model-completion algorithms in the AutoBuild wizard include loop building, crossovers between chains in different models of a structure and side-chain optimization. The AutoBuild wizard has been applied to a set of 48 structures at resolutions ranging from 1.1 to 3.2 Ĺ, resulting in a mean R factor of 0.24 and a mean free R factor of 0.29. The R factor of the final model is dependent on the quality of the starting electron density and is relatively independent of resolution.

  14. Building Information Modeling (BIM)-Based Daylighting Simulation and Analysis

    E-Print Network [OSTI]

    Kota, S.; Haberl, J.S.; Clayton, M.; Yan, W.

    tools Radiance and DAYSIM. Keywords: Building Information Modeling, BIM, Daylighting Simulation, Radiance, DAYSIM 1 Introduction Building performance analyses are important aspects of designing sustainable buildings. One of the performance analyses...) with daylighting analysis tools (Radiance and DAYSIM as sample simulation tools, which are widely used to study the daylighting performance of buildings). 2 Literature review 2.1 Daylighting simulation tools Over the years many analysis tools have been...

  15. Archived Reference Climate Zone: 3B Los Angeles, California

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  16. Archived Reference Climate Zone: 3B Las Vegas, Nevada

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  17. Archived Reference Climate Zone: TMY2 Weather Data

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  18. Archived Reference Climate Zone: 2A Houston, Texas

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  19. Better Buildings Neighborhood Program Business Models Guide: Executive Summary

    Broader source: Energy.gov [DOE]

    Uses lessons learned from Better Buildings grantees, existing data, and private sector insights to highlight business models that can help develop a sustainable residential energy efficiency market.

  20. Better Buildings Neighborhood Program Business Models Guide: Introduction

    Broader source: Energy.gov [DOE]

    Uses lessons learned from Better Buildings grantees, existing data, and private sector insights to highlight business models that can help develop a sustainable residential energy efficiency market.

  1. Greensburg, Kansas: Building a Model Green Community, How Would...

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

    Greensburg, Kansas: Building a Model Green Community, How Would You Rebuild a Town - Green? April 2009 (Brochure) This brochure describes the rebuilding of Greensburg, Kansas,...

  2. A Hybrid Model and MIMO Control for Intelligent Buildings Temperature

    E-Print Network [OSTI]

    Boyer, Edmond

    A Hybrid Model and MIMO Control for Intelligent Buildings Temperature Regulation over WSN Emmanuel is to propose a model-based feedback control strategy for indoor temperature regulation in buildings equipped. In order to set a model-based Fig. 1. UFAD ventilation control approach, we first investigate

  3. A reference worldwide model for antineutrinos from reactors

    E-Print Network [OSTI]

    Baldoncini, Marica; Fiorentini, Giovanni; Mantovani, Fabio; Ricci, Barbara; Strati, Virginia; Xhixha, Gerti

    2014-01-01T23:59:59.000Z

    Antineutrinos produced at nuclear reactors constitute a severe source of background for the detection of geoneutrinos, which bring to the Earth's surface information about natural radioactivity in the whole planet. In this framework we provide a reference worldwide model for antineutrinos from reactors, in view of reactors operational records yearly published by the International Atomic Energy Agency (IAEA). We evaluate the expected signal from commercial reactors for ongoing (KamLAND and Borexino), planned (SNO+) and proposed (Juno, RENO-50, LENA and Hanohano) experimental sites. Uncertainties related to reactor antineutrino production, propagation and detection processes are estimated using a Monte Carlo based approach, which provides an overall site dependent uncertainty on the signal in the geoneutrino energy window on the order of 3%. We also implement the off-equilibrium correction to the reference reactor spectra associated with the long-lived isotopes and we estimate a 2.4% increase of the unoscillate...

  4. 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.

  5. 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.

  6. Iterative model-building, structure refinement, and density modification with the PHENIX AutoBuild Wizard

    SciTech Connect (OSTI)

    Los Alamos National Laboratory, Mailstop M888, Los Alamos, NM 87545, USA; Lawrence Berkeley National Laboratory, One Cyclotron Road, Building 64R0121, Berkeley, CA 94720, USA; Department of Haematology, University of Cambridge, Cambridge CB2 0XY, England; Terwilliger, Thomas; Terwilliger, T.C.; Grosse-Kunstleve, Ralf Wilhelm; Afonine, P.V.; Moriarty, N.W.; Zwart, P.H.; Hung, L.-W.; Read, R.J.; Adams, P.D.

    2007-04-29T23:59:59.000Z

    The PHENIX AutoBuild Wizard is a highly automated tool for iterative model-building, structure refinement and density modification using RESOLVE or TEXTAL model-building, RESOLVE statistical density modification, and phenix.refine structure refinement. Recent advances in the AutoBuild Wizard and phenix.refine include automated detection and application of NCS from models as they are built, extensive model completion algorithms, and automated solvent molecule picking. Model completion algorithms in the AutoBuild Wizard include loop-building, crossovers between chains in different models of a structure, and side-chain optimization. The AutoBuild Wizard has been applied to a set of 48 structures at resolutions ranging from 1.1 {angstrom} to 3.2 {angstrom}, resulting in a mean R-factor of 0.24 and a mean free R factor of 0.29. The R-factor of the final model is dependent on the quality of the starting electron density, and relatively independent of resolution.

  7. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01T23:59:59.000Z

    Learning Control for Thermal Energy Storage Systems”. In:Predictive Control of Thermal Energy Storage in Buildingmaking use of building thermal energy storage, and this work

  8. MODELING PASSIVE SOLAR BUILDINGS WITH HAND CALCULATIONS

    E-Print Network [OSTI]

    Goldstein, David B.

    2011-01-01T23:59:59.000Z

    California ABSTRACT Passive solar design can be encouragedpassive solar buildings and the a b i l i t y to predict the thermal response of various designs.

  9. Building Energy Modeling (BEM) Program Overview

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

    effective application of advanced BEM 3 DOE's Role BEM differs from windows, heat pumps & sensors * Information technology with no "unit" cost DOE can build it * An evaluation...

  10. Study of a model for reference-free plasticity

    E-Print Network [OSTI]

    Stephan Luckhaus; Jens Wohlgemuth

    2014-08-06T23:59:59.000Z

    We investigate a Kac-type many particle model that allows a reference-free description of plastic deformation. In the framework of the model a solid body is described by a set of particle positions. A lattice is fitted to the particle configuration around each point on a mesoscopic scale. The lattice parameters are used as an argument of a non-linear elasticity energy functional. There are two main results in this paper. First, we prove an estimate for the difference between the fitted lattice parameters of points of low energy density that are sufficiently close to each other. Sequences of these points can be used for homotopy type arguments. In particular it is possible to identify dislocations as topological defects in this framework. Furthermore, we use the fitted lattice parameters as local Lagrangian coordinates and bound the energy from below with a functional of these coordinates.

  11. Drawing interfaces : building geometric models with hand-drawn sketches

    E-Print Network [OSTI]

    Branda, Ewan E. (Ewan Edward), 1964-

    1998-01-01T23:59:59.000Z

    Architects work on drawings and models, not buildings. Today, in many architectural practices, drawings and models are produced in digital format using Computer-aided Design (CAD) tools. Unquestionably, digital media have ...

  12. Building Energy Model Development for Retrofit Homes

    SciTech Connect (OSTI)

    Chasar, David; McIlvaine, Janet; Blanchard, Jeremy; Widder, Sarah H.; Baechler, Michael C.

    2012-09-30T23:59:59.000Z

    Based on previous research conducted by Pacific Northwest National Laboratory and Florida Solar Energy Center providing technical assistance to implement 22 deep energy retrofits across the nation, 6 homes were selected in Florida and Texas for detailed post-retrofit energy modeling to assess realized energy savings (Chandra et al, 2012). However, assessing realized savings can be difficult for some homes where pre-retrofit occupancy and energy performance are unknown. Initially, savings had been estimated using a HERS Index comparison for these homes. However, this does not account for confounding factors such as occupancy and weather. This research addresses a method to more reliably assess energy savings achieved in deep energy retrofits for which pre-retrofit utility bills or occupancy information in not available. A metered home, Riverdale, was selected as a test case for development of a modeling procedure to account occupancy and weather factors, potentially creating more accurate estimates of energy savings. This “true up” procedure was developed using Energy Gauge USA software and post-retrofit homeowner information and utility bills. The 12 step process adjusts the post-retrofit modeling results to correlate with post-retrofit utility bills and known occupancy information. The “trued” post retrofit model is then used to estimate pre-retrofit energy consumption by changing the building efficiency characteristics to reflect the pre-retrofit condition, but keeping all weather and occupancy-related factors the same. This creates a pre-retrofit model that is more comparable to the post-retrofit energy use profile and can improve energy savings estimates. For this test case, a home for which pre- and post- retrofit utility bills were available was selected for comparison and assessment of the accuracy of the “true up” procedure. Based on the current method, this procedure is quite time intensive. However, streamlined processing spreadsheets or incorporation into existing software tools would improve the efficiency of the process. Retrofit activity appears to be gaining market share, and this would be a potentially valuable capability with relevance to marketing, program management, and retrofit success metrics.

  13. A HYGROTHERMAL BUILDING MODEL BASED ON THE OBJECT-ORIENTED MODELING LANGUAGE MODELICA

    E-Print Network [OSTI]

    A HYGROTHERMAL BUILDING MODEL BASED ON THE OBJECT-ORIENTED MODELING LANGUAGE MODELICA Christoph modeling language Modelica. As a starting point for the development of the new building model (thermal building simulation). The first results of this research are Modelica-implementations of a thermal

  14. Reference Model 2: %22Rev 0%22 Rotor Design.

    SciTech Connect (OSTI)

    Barone, Matthew F.; Berg, Jonathan Charles; Griffith, Daniel

    2011-12-01T23:59:59.000Z

    The preliminary design for a three-bladed cross-flow rotor for a reference marine hydrokinetic turbine is presented. A rotor performance design code is described, along with modifications to the code to allow prediction of blade support strut drag as well as interference between two counter-rotating rotors. The rotor is designed to operate in a reference site corresponding to a riverine environment. Basic rotor performance and rigid-body loads calculations are performed to size the rotor elements and select the operating speed range. The preliminary design is verified with a simple finite element model that provides estimates of bending stresses during operation. A concept for joining the blades and support struts is developed and analyzed with a separate finite element analysis. Rotor mass, production costs, and annual energy capture are estimated in order to allow calculations of system cost-of-energy. Evaluation Only. Created with Aspose.Pdf.Kit. Copyright 2002-2011 Aspose Pty Ltd Evaluation Only. Created with Aspose.Pdf.Kit. Copyright 2002-2011 Aspose Pty Ltd

  15. Using Simulation Models for Building Commissioning

    E-Print Network [OSTI]

    Claridge, D. E.

    2004-01-01T23:59:59.000Z

    , Sweden. This building utilizes multiple innovative HVAC systems. They used the IDA simulation environment to assess these untested HVAC-solutions and for dimensioning. During the initial commissioning they evaluated the performance using extensive... D2 is titled Use of Whole Building Simulation in Commissioning. Regular participants of the subtask meetings have included Oliver Baumann (Germany), David Claridge, Chair (USA), Jorgen Eriksson (Sweden), Nestor Fonseca, Johnny Holst (Norway), Per...

  16. It's Complicated!: The Continuing Evolution of the Reference Service Model

    E-Print Network [OSTI]

    Devlin, Frances A.; Ellis, Erin L.

    2010-08-06T23:59:59.000Z

    Digital resources and technologies have brought new dimensions to librarianship and traditional reference services. At the University of Kansas (KU) Libraries, reference services have been evolving and reconfigured several ...

  17. Energy Savings Modeling of Standard Commercial Building Re-tuning Measures: Large Office Buildings

    SciTech Connect (OSTI)

    Fernandez, Nicholas; Katipamula, Srinivas; Wang, Weimin; Huang, Yunzhi; Liu, Guopeng

    2012-06-01T23:59:59.000Z

    Today, many large commercial buildings use sophisticated building automation systems (BASs) to manage a wide range of building equipment. While the capabilities of BASs have increased over time, many buildings still do not fully use the BAS's capabilities and are not properly commissioned, operated or maintained, which leads to inefficient operation, increased energy use, and reduced lifetimes of the equipment. This report investigates the energy savings potential of several common HVAC system retuning measures on a typical large office building prototype model, using the Department of Energy's building energy modeling software, EnergyPlus. The baseline prototype model uses roughly as much energy as an average large office building in existing building stock, but does not utilize any re-tuning measures. Individual re-tuning measures simulated against this baseline include automatic schedule adjustments, damper minimum flow adjustments, thermostat adjustments, as well as dynamic resets (set points that change continuously with building and/or outdoor conditions) to static pressure, supply air temperature, condenser water temperature, chilled and hot water temperature, and chilled and hot water differential pressure set points. Six combinations of these individual measures have been formulated - each designed to conform to limitations to implementation of certain individual measures that might exist in typical buildings. All of these measures and combinations were simulated in 16 cities representative of specific U.S. climate zones. The modeling results suggest that the most effective energy savings measures are those that affect the demand-side of the building (air-systems and schedules). Many of the demand-side individual measures were capable of reducing annual HVAC system energy consumption by over 20% in most cities that were modeled. Supply side measures affecting HVAC plant conditions were only modestly successful (less than 5% annual HVAC energy savings for most cities for all measures). Combining many of the retuning measures revealed deep savings potential. Some of the more aggressive combinations revealed 35-75% reductions in annual HVAC energy consumption, depending on climate and building vintage.

  18. Inclusion of Building Envelope Thermal Lag Effects in Linear Regression Models of Daily Basis Building Energy Use Data 

    E-Print Network [OSTI]

    Masuda, H.; Claridge, D. E.

    2012-01-01T23:59:59.000Z

    Inclusion?of?Building?Envelope?Thermal?Lag? Effects?in?Linear?Regression?Models?of?Daily? Basis?Building?Energy?Use?Data The?12th International?Conference?for?Enhanced?Building?Operations October?22nd?26th,?2012 Manchester,?UK Hiroko...?enhanced?building?operations. October?18?20,?2011,? Brooklyn,?NY. Rabl,?A.?and?Rialhe,?A.?(1992).?Energy?Signature?Models?for?Commercial?Buildings:?Test?with?Measured?Data?and?Interpretation. Energy?and?Buildings,?19,?143?154. Shao,?X.?and?Claridge,?D.E.?(2006).?Use?of?first?law?energy?balance?as?a?screening?tool?for?building?energy...

  19. Towards a Very Low Energy Building Stock: Modeling the U.S. Commercial Building Sector to Support Policy and Innovation Planning

    E-Print Network [OSTI]

    Coffey, Brian

    2010-01-01T23:59:59.000Z

    Towards a Very Low Energy Building Stock: Modeling the USconditioning. Very low energy buildings in particular tendand customization in most low energy buildings, the best

  20. Building Component Library: An Online Repository to Facilitate Building Energy Model Creation; Preprint

    SciTech Connect (OSTI)

    Fleming, K.; Long, N.; Swindler, A.

    2012-05-01T23:59:59.000Z

    This paper describes the Building Component Library (BCL), the U.S. Department of Energy's (DOE) online repository of building components that can be directly used to create energy models. This comprehensive, searchable library consists of components and measures as well as the metadata which describes them. The library is also designed to allow contributors to easily add new components, providing a continuously growing, standardized list of components for users to draw upon.

  1. Legal Issues and Risks Associated with Building Information Modeling Technology

    E-Print Network [OSTI]

    Foster, Leon Lewis

    2008-07-22T23:59:59.000Z

    Building Information Modeling (BIM) is a tool that has already changed the ways projects are conceived, designed, communicated and constructed by integrating the fragmented Architecture, Engineering, and Construction (AEC) industry. BIM has proven...

  2. 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...

  3. Conversion of three-dimensional graphic building models into input data for building energy calculation program

    E-Print Network [OSTI]

    Hayek, Raja Fares

    1994-01-01T23:59:59.000Z

    the Reliability of the Translator . . DEVELOPMENT OF TRANSLATION PROGRAM Vl Vl1 1X Xl 13 17 17 18 18 18 19 20 CHAPTER The Modelling Pmgram . . Modelling Progratns Criteria for Selection of a Modelling Program Selection of a Modelling Program... APPENDICES . . APPENDIX I ELINK USER'S MANUAL II ELINK TUTORIAL III ADDITIONAL RELIABILITY TESTING RUNS IV ELINK PROGRAM LISTING VITA 60 60 61 64 65 67 69 70 81 91 96 133 LIST OF FIGURES FIGURE 1. Sequence of building project phases 2...

  4. Interfacing BIM with Building Thermal and Daylighting Modeling

    E-Print Network [OSTI]

    Yan, Wei; Clayton, Mark; Haberl, Jeff; WoonSeong, Jeong; Bun Kim, Jong; Sandeep, Kota; Bermudez, Jose; Dixit, Manish

    INTERFACING BIM WITH BUILDING THERMAL AND DAYLIGHTING MODELING Wei Yan, Mark Clayton, Jeff Haberl, WoonSeong Jeong, Jong Bum Kim, Sandeep Kota, Jose Luis Bermudez Alcocer, and Manish Dixit Texas A&M University, College Station, USA... the BIM authoring tools’ Application Programming Interface (API) to translate BIM into Object-Oriented Physical Models (in Modelica) for building thermal simulation, and input files of ray-tracing software (Radiance) for daylighting simulation. Based...

  5. Building environment modeling and minimum-energy control

    E-Print Network [OSTI]

    Godfrey, James Bradford

    1980-01-01T23:59:59.000Z

    be expanded to study energy loss due to vapor condensation. The mathematical model of the building environment is simplified so that optimal temperature control can be studied. Simulations of the building environment heating system using feed- back.... Heating System Simulation. . OPTIMAL TEMPERATURE CONTROL. . . A. Def i ni ti ons 8, Model for the Dynamic Programming Algorithm C. The Dynamic Programming Algorithm. . D. Stochastic External Forcing Terms. . E. Optimal Stochastic Heating Control...

  6. Archived Reference Climate Zone: 3B Los Angeles, California

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  7. Archived Reference Climate Zone: 3B Las Vegas, Nevada

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  8. Archived Reference Climate Zone: TMY2 Weather Data

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  9. Archived Reference Climate Zone: 2A Houston, Texas

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  10. Modeling and Analysis of Solar Radiation Potentials on Building Rooftops

    SciTech Connect (OSTI)

    Omitaomu, Olufemi A [ORNL; Kodysh, Jeffrey B [ORNL; Bhaduri, Budhendra L [ORNL

    2012-01-01T23:59:59.000Z

    The active application of photovoltaic for electricity generation could effectively transform neighborhoods and commercial districts into small, localized power plants. This application, however, relies heavily on an accurate estimation of the amount of solar radiation that is available on individual building rooftops. While many solar energy maps exist at higher spatial resolution for concentrated solar energy applications, the data from these maps are not suitable for roof-mounted photovoltaic for several reasons, including lack of data at the appropriate spatial resolution and lack of integration of building-specific characteristics into the models used to generate the maps. To address this problem, we have developed a modeling framework for estimating solar radiation potentials on individual building rooftops that is suitable for utility-scale applications as well as building-specific applications. The framework uses light detection and ranging (LIDAR) data at approximately 1-meter horizontal resolution and 0.3-meter vertical resolution as input for modeling a large number of buildings quickly. One of the strengths of this framework is the ability to parallelize its implementation. Furthermore, the framework accounts for building specific characteristics, such as roof slope, roof aspect, and shadowing effects, that are critical to roof-mounted photovoltaic systems. The resulting data has helped us to identify the so-called solar panel sweet spots on individual building rooftops and obtain accurate statistics of the variation in solar radiation as a function of time of year and geographical location.

  11. Inclusion of Building Envelope Thermal Lag Effects in Linear Regression Models of Daily Basis Building Energy Use Data

    E-Print Network [OSTI]

    Masuda, H.; Claridge, D. E.

    2012-01-01T23:59:59.000Z

    Inclusion?of?Building?Envelope?Thermal?Lag? Effects?in?Linear?Regression?Models?of?Daily? Basis?Building?Energy?Use?Data The?12th International?Conference?for?Enhanced?Building?Operations October?22nd?26th,?2012 Manchester,?UK Hiroko...?enhanced?building?operations. October?18?20,?2011,? Brooklyn,?NY. Rabl,?A.?and?Rialhe,?A.?(1992).?Energy?Signature?Models?for?Commercial?Buildings:?Test?with?Measured?Data?and?Interpretation. Energy?and?Buildings,?19,?143?154. Shao,?X.?and?Claridge,?D.E.?(2006).?Use?of?first?law...

  12. Mountain building in the Nepal Himalaya: Thermal and kinematic model

    E-Print Network [OSTI]

    Avouac, Jean-Philippe

    Mountain building in the Nepal Himalaya: Thermal and kinematic model L. Bollinger a,, P. Henry b. Courtillot Abstract We model crustal deformation and the resulting thermal structure across the Nepal: thermal model; temperature-time paths; inverted metamorphism; underplating; Himalayan orogen; Nepal

  13. Development of a Model Specification for Performance Monitoring Systems for Commercial Buildings

    E-Print Network [OSTI]

    Development of a Model Specification for Performance Monitoring Systems for Commercial Buildings the development of a model specification for performance monitoring systems for commercial buildings capabilities in #12;commercial buildings by demonstrating the capabilities of commercially available technology

  14. Duct thermal performance models for large commercial buildings

    SciTech Connect (OSTI)

    Wray, Craig P.

    2003-10-01T23:59:59.000Z

    Despite the potential for significant energy savings by reducing duct leakage or other thermal losses from duct systems in large commercial buildings, California Title 24 has no provisions to credit energy-efficient duct systems in these buildings. A substantial reason is the lack of readily available simulation tools to demonstrate the energy-saving benefits associated with efficient duct systems in large commercial buildings. The overall goal of the Efficient Distribution Systems (EDS) project within the PIER High Performance Commercial Building Systems Program is to bridge the gaps in current duct thermal performance modeling capabilities, and to expand our understanding of duct thermal performance in California large commercial buildings. As steps toward this goal, our strategy in the EDS project involves two parts: (1) developing a whole-building energy simulation approach for analyzing duct thermal performance in large commercial buildings, and (2) using the tool to identify the energy impacts of duct leakage in California large commercial buildings, in support of future recommendations to address duct performance in the Title 24 Energy Efficiency Standards for Nonresidential Buildings. The specific technical objectives for the EDS project were to: (1) Identify a near-term whole-building energy simulation approach that can be used in the impacts analysis task of this project (see Objective 3), with little or no modification. A secondary objective is to recommend how to proceed with long-term development of an improved compliance tool for Title 24 that addresses duct thermal performance. (2) Develop an Alternative Calculation Method (ACM) change proposal to include a new metric for thermal distribution system efficiency in the reporting requirements for the 2005 Title 24 Standards. The metric will facilitate future comparisons of different system types using a common ''yardstick''. (3) Using the selected near-term simulation approach, assess the impacts of duct system improvements in California large commercial buildings, over a range of building vintages and climates. This assessment will provide a solid foundation for future efforts that address the energy efficiency of large commercial duct systems in Title 24. This report describes our work to address Objective 1, which includes a review of past modeling efforts related to duct thermal performance, and recommends near- and long-term modeling approaches for analyzing duct thermal performance in large commercial buildings.

  15. Building Energy Modeling (BEM) Program Overview

    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 Future ofHydronicBuildingDepartmentDavidDepartment ofAmir Roth,

  16. Building Energy Modeling Projects | 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 1,006 492 742 33Frequently20,000 RussianBy:WhetherNovember 13,National RenewableEnergyView the Building

  17. Building Energy 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 Building CodesofDepartment

  18. 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.

  19. Physical Building Information Modeling for Solar Building Design and Simulation- Annual Report 2012

    E-Print Network [OSTI]

    Yan, W.; Haberl, J.; Clayton, M.; Jeong, W.; Kim, J.; Kota, S.; Alcocer, J.; Dixit, M.

    2012-01-01T23:59:59.000Z

    . 6 Figure 6. Radiance rendering of the wall. c) BIM to BiPV We developed a Building Integrated Photovoltaic (BiPV) prototype in a BIM platform (Autodesk Revit) to calculate solar position and determine the amount of solar insolation from given... as the weather file. ? The room is lifted up from the earth, so the floor slab is not attached to the ground. ? This one room model consists of a roof, a floor, and four walls. ? No windows and doors are installed. ? All building components are made up of a...

  20. Detection and Prediction of Errors in EPCs of the SAP Reference Model

    E-Print Network [OSTI]

    van der Aalst, Wil

    as a blueprint for roll-out projects of SAP's ERP system. It reflects Version18 4.6 of SAP R/3 which was marketedDetection and Prediction of Errors in EPCs of the SAP Reference Model J. Mendling a, H.M.W. Verbeek provide empirical evidence for these questions based on the SAP reference model. This model collection

  1. A Climate Modelling Primer Building an EBM with Excel

    E-Print Network [OSTI]

    McCready, Mark J.

    A Climate Modelling Primer Building an EBM with Excel 1. Introduction This document tells you how this guide to get the EBM coded up in whatever programming language you have available. To get a fuller understanding of where the equations come from, you'll need a copy of the book handy. 2. The model domain

  2. Building Statistical Models and Scoring with UDFs Carlos Ordonez

    E-Print Network [OSTI]

    Ordonez, Carlos

    77204, USA ABSTRACT Multidimensional statistical models are generally computed outside a relational DBMS are computed inside the DBMS in a single table scan exploiting SQL and User-Defined Functions (UDFs into the Teradata DBMS. Two major database processing tasks are discussed: building a model and scoring a data set

  3. 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.

  4. Submission of manuscript to Energy and Buildings A thermal model for Phase Change Materials in a building roof for a

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Submission of manuscript to Energy and Buildings A thermal model for Phase Change Materials in "Energy and Buildings 70 (2014) http://www.sciencedirect.com/science/article/pii/ S0378778813007962" DOI : 10.1016/j.enbuild.2013.11.079 #12;Manuscript submitted to Energy and Buildings S.GUICHARD 2013 2

  5. SOME ANALYTIC MODELS OF PASSIVE SOLAR BUILDING PERFORMANCE: A THEORETICAL APPROACH TO THE DESIGN OF ENERGY-CONSERVING BUILDINGS

    E-Print Network [OSTI]

    Goldstein, David Baird

    2011-01-01T23:59:59.000Z

    PASSIVE SOLAR BUILDING PERFORMANCE: A THEORETICAL APPROACH TO THE DESIGNpassive solar buildings, and the concommitant inability to predict the results of various designs.Passive solar modelling is worthwhile as a tool for imple- menting one important conservative strategy -- the use of building design

  6. Model Reference Sliding Mode Control for Bioreactor Benchmark Mehmet Onder Efe

    E-Print Network [OSTI]

    Efe, Mehmet Önder

    Model Reference Sliding Mode Control for Bioreactor Benchmark Problem Mehmet ¨Onder Efe Abstract on relevant control challenges displayed by chemical processes. In [2], Ungar defines a Bioreactor Benchmark

  7. Reference Model 5 (RM5): Oscillating Surge Wave Energy Converter

    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 RadiationRecord-SettingHead ofReference-Documents Sign InReference

  8. Evolutionary Tuning of Building Models to Monthly Electrical Consumption

    SciTech Connect (OSTI)

    Garrett, Aaron [Jacksonville State University] [Jacksonville State University; New, Joshua Ryan [ORNL] [ORNL; Chandler, Theodore [Jacksonville State University] [Jacksonville State University

    2013-01-01T23:59:59.000Z

    Building energy models of existing buildings are unreliable unless calibrated so they correlate well with actual energy usage. Calibrating models is costly because it is currently an art which requires significant manual effort by an experienced and skilled professional. An automated methodology could significantly decrease this cost and facilitate greater adoption of energy simulation capabilities into the marketplace. The Autotune project is a novel methodology which leverages supercomputing, large databases of simulation data, and machine learning to allow automatic calibration of simulations to match measured experimental data on commodity hardware. This paper shares initial results from the automated methodology applied to the calibration of building energy models (BEM) for EnergyPlus (E+) to reproduce measured monthly electrical data.

  9. Building Qualitative Models of Thermodynamic Processes

    E-Print Network [OSTI]

    Forbus, Kenneth D.

    of typical fluid and thermal systems, such as refrigerators and power plants . We use explicit modeling simplified versions of a refrigerator, a steam plant, and a thermal control system . Finally, we describe a Refrigerator 66 5 .5 Modeling a shipboard propulsion plant 70 5 .6 Summary of Examples 70 6 Discussion 72 7

  10. A toolkit for building earth system models

    SciTech Connect (OSTI)

    Foster, I.

    1993-03-01T23:59:59.000Z

    An earth system model is a computer code designed to simulate the interrelated processes that determine the earth's weather and climate, such as atmospheric circulation, atmospheric physics, atmospheric chemistry, oceanic circulation, and biosphere. I propose a toolkit that would support a modular, or object-oriented, approach to the implementation of such models.

  11. A toolkit for building earth system models

    SciTech Connect (OSTI)

    Foster, I.

    1993-03-01T23:59:59.000Z

    An earth system model is a computer code designed to simulate the interrelated processes that determine the earth`s weather and climate, such as atmospheric circulation, atmospheric physics, atmospheric chemistry, oceanic circulation, and biosphere. I propose a toolkit that would support a modular, or object-oriented, approach to the implementation of such models.

  12. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01T23:59:59.000Z

    T mixed T amb d OA ?T supply Cooling Fan Heating 20 Time (models for supply fan (5.6), cooling and heating coils (5.7)Solar radiation u cooling/heating coils supply fan dampers

  13. Property:Buildings/Models | 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,Pillar GroupInformationInformationYearConstruction1ModelNameModelYear

  14. HCCI experiments with toluene reference fuels modeled by a semidetailed chemical kinetic model

    SciTech Connect (OSTI)

    Andrae, J.C.G. [Department of Chemical Engineering and Technology, Royal Institute of Technology (KTH), SE-100 44 Stockholm (Sweden); Brinck, T. [Department of Physical Chemistry, Royal Institute of Technology (KTH), SE-100 44 Stockholm (Sweden); Kalghatgi, G.T. [Shell Global Solutions (UK), P.O. Box 1, Chester CH1 3SH (United Kingdom)

    2008-12-15T23:59:59.000Z

    A semidetailed mechanism (137 species and 633 reactions) and new experiments in a homogeneous charge compression ignition (HCCI) engine on the autoignition of toluene reference fuels are presented. Skeletal mechanisms for isooctane and n-heptane were added to a detailed toluene submechanism. The model shows generally good agreement with ignition delay times measured in a shock tube and a rapid compression machine and is sensitive to changes in temperature, pressure, and mixture strength. The addition of reactions involving the formation and destruction of benzylperoxide radical was crucial to modeling toluene shock tube data. Laminar burning velocities for benzene and toluene were well predicted by the model after some revision of the high-temperature chemistry. Moreover, laminar burning velocities of a real gasoline at 353 and 500 K could be predicted by the model using a toluene reference fuel as a surrogate. The model also captures the experimentally observed differences in combustion phasing of toluene/n-heptane mixtures, compared to a primary reference fuel of the same research octane number, in HCCI engines as the intake pressure and temperature are changed. For high intake pressures and low intake temperatures, a sensitivity analysis at the moment of maximum heat release rate shows that the consumption of phenoxy radicals is rate-limiting when a toluene/n-heptane fuel is used, which makes this fuel more resistant to autoignition than the primary reference fuel. Typical CPU times encountered in zero-dimensional calculations were on the order of seconds and minutes in laminar flame speed calculations. Cross reactions between benzylperoxy radicals and n-heptane improved the model predictions of shock tube experiments for {phi}=1.0 and temperatures lower than 800 K for an n-heptane/toluene fuel mixture, but cross reactions had no influence on HCCI simulations. (author)

  15. Building a WIM Data Archive for Improved Modeling, Design, and

    E-Print Network [OSTI]

    Bertini, Robert L.

    Building a WIM Data Archive for Improved Modeling, Design, and Rating Christopher Monsere Assistant, Washington, D.C. August 6, 2008 #12;Outline Data Almanac PORTAL WIM Archive Quality Control Sample Uses Redundant Array of Independent Disks (RAID) Web Interface #12;QUALITY CONTROL 14 #12;WIM Archive Quality

  16. MODEL BUILDING FOR INTERACTIVE SEGMENTATION OF THE FEMORAL HEAD

    E-Print Network [OSTI]

    McKenzie, Rick

    MODEL BUILDING FOR INTERACTIVE SEGMENTATION OF THE FEMORAL HEAD G ZSEMLYE 1 , G SZÉKELY 1 1 by the user. Our first #12;study concentrates on the femoral head, containing only two well defined point the femoral neck at its smallest perimeter with a circle and the femoral head with a half-sphere. After

  17. Model Predictive Control For Wind Excited Buildings: A Benchmark Problem

    E-Print Network [OSTI]

    Kareem, Ahsan

    control force; W is the wind excitation vector of dimension 24; and are control output vec- tor , , , , , , , and were given by Yang et al (1999) and have appropriate dimensions. The wind force data acting1 Model Predictive Control For Wind Excited Buildings: A Benchmark Problem Gang Mei, Student M

  18. UNEDITED PREPRINT Building a dynamic growth model for trembling

    E-Print Network [OSTI]

    García, Oscar

    UNEDITED PREPRINT Building a dynamic growth model for trembling aspen in Western Canada without age for even-aged thinned or unthinned stands dominated by trembling aspen. Estimation used permanent sample words: Forest growth and yield, Populus tremuloides, quacking aspen, thinning, dynamical systems, TAG. 1

  19. Comparison of Building Energy Modeling Programs: HVAC Systems

    E-Print Network [OSTI]

    LBNL-6432E Comparison of Building Energy Modeling Programs: HVAC Systems Xin Zhou1 , Tianzhen Hong2 programs (BEMPs) for HVAC calculations: EnergyPlus, DeST, and DOE-2.1E. This is a joint effort between purposes, BEMPs can be divided into load modules and HVAC system modules. This technical report

  20. Model building for flavor changing Higgs couplings

    E-Print Network [OSTI]

    Avital Dery; Aielet Efrati; Yosef Nir; Yotam Soreq; Vasja Susi?

    2014-09-21T23:59:59.000Z

    If $t\\rightarrow hq$ ($q=c,u$) or $h\\rightarrow\\tau\\ell$ ($\\ell=\\mu,e$) decays are observed, it will be a clear signal of new physics. We investigate whether natural and viable flavor models can saturate the present direct upper bounds without violating the indirect constraints from low energy loop processes. We carry out our analysis in two theoretical frameworks: minimal flavor violation (MFV) and Froggatt-Nielsen symmetry (FN). The simplest models in either framework predict flavor changing couplings that are too small to be directly observed. Yet, in the MFV framework, it is possible to have lepton flavor changing Higgs couplings close to the bound if spurions related to heavy singlet neutrinos play a role. In the FN framework, it is possible to have large flavor changing couplings in both the up and the charged lepton sectors if supersymmetry plays a role.

  1. 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...

  2. Reference Model for Control and Automation Systems in Electrical Power

    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 742EnergyOn April 23, 2014, an OHASeptember 2010InJanuary 29, 2013RedbirdThis hybridThisReference

  3. Reference Model #1 - Tidal Energy: Resource Dr. Brian Polagye

    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 Requirements Recently Approved JustificationBio-Inspired Solar FuelReduceReference

  4. Category:Building Models | 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:EzfeedflagBiomassSustainableCSLInformationMissouri:Catalyst2-Mpage?Brophy OccurrenceModel.

  5. Modeling distributed generation in the buildings sectors

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'. William Hirst HirstModelingAssessing the

  6. Enhancements to ASHRAE Standard 90.1 Prototype Building Models

    SciTech Connect (OSTI)

    Goel, Supriya; Athalye, Rahul A.; Wang, Weimin; Zhang, Jian; Rosenberg, Michael I.; Xie, YuLong; Hart, Philip R.; Mendon, Vrushali V.

    2014-04-16T23:59:59.000Z

    This report focuses on enhancements to prototype building models used to determine the energy impact of various versions of ANSI/ASHRAE/IES Standard 90.1. Since the last publication of the prototype building models, PNNL has made numerous enhancements to the original prototype models compliant with the 2004, 2007, and 2010 editions of Standard 90.1. Those enhancements are described here and were made for several reasons: (1) to change or improve prototype design assumptions; (2) to improve the simulation accuracy; (3) to improve the simulation infrastructure; and (4) to add additional detail to the models needed to capture certain energy impacts from Standard 90.1 improvements. These enhancements impact simulated prototype energy use, and consequently impact the savings estimated from edition to edition of Standard 90.1.

  7. Inter-organizational Reference Modeling -A Position Statement

    E-Print Network [OSTI]

    a company's profit. In addition to revenue estimates, a resulting business model - on the first layer. A business model must be supported by a set of business process specifica- tions. The process perspective manifested in the business process models - on the second layer of Figure 1 - specifies a flow of business

  8. On the geometry of cosmological model building

    E-Print Network [OSTI]

    Erhard Scholz

    2005-11-21T23:59:59.000Z

    This article analyzes the present anomalies of cosmology from the point of view of integrable Weyl geometry. It uses P.A.M. Dirac's proposal for a weak extension of general relativity, with some small adaptations. Simple models with interesting geometrical and physical properties, not belonging to the Friedmann-Lema\\^{\\i}tre class, are studied in this frame. Those with positive spatial curvature (Einstein-Weyl universes) go well together with observed mass density $\\Omega_m$, CMB, supernovae Ia data, and quasar frequencies. They suggest a physical role for an equilibrium state of the Maxwell field proposed by I.E. Segal in the 1980s (Segal background) and for a time invariant balancing condition of vacuum energy density. The latter leads to a surprising agreement with the BF-theoretical calculation proposed by C. Castro (2002).

  9. Model Predictive Control for the Operation of Building Cooling Systems

    E-Print Network [OSTI]

    Ma, Yudong

    2010-01-01T23:59:59.000Z

    storage in building cooling systems. Technical report,storage in building cooling systems. Decision and Control,for the Operation of Building Cooling Systems Yudong Ma ? ,

  10. 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)

  11. Duct thermal performance models for large commercial buildings

    E-Print Network [OSTI]

    Wray, Craig P.

    2003-01-01T23:59:59.000Z

    Energy Efficiency in Buildings, Efficiency and Sustainability,Energy Efficiency in Buildings, Efficiency and Sustainability,Energy Efficiency in Buildings, Efficiency and Sustainability,

  12. Reference genome sequence of the model plant Setaria

    SciTech Connect (OSTI)

    Bennetzen, Jeffrey L [ORNL; Schmutz, Jeremy [Hudson Alpha Institute of Biotechnology; Wang, Hao [University of Georgia, Athens, GA; Percifield, Ryan [University of Georgia, Athens, GA; Hawkins, Jennifer [University of Georgia, Athens, GA; Pontaroli, Ana C. [University of Georgia, Athens, GA; Estep, Matt [University of Georgia, Athens, GA; Feng, Liang [University of Georgia, Athens, GA; Vaughn, Justin N [ORNL; Grimwood, Jane [Hudson Alpha Institute of Biotechnology; Jenkins, Jerry [Hudson Alpha Institute of Biotechnology; Barry, Kerrie [U.S. Department of Energy, Joint Genome Institute; Lindquist, Erika [U.S. Department of Energy, Joint Genome Institute; Hellsten, Uffe [U.S. Department of Energy, Joint Genome Institute; Deshpande, Shweta [U.S. Department of Energy, Joint Genome Institute; Wang, Xuewen [University of Georgia, Athens, GA; Wu, Xiaomei [University of Georgia, Athens, GA; Mitros, Therese [University of California, Berkeley; Triplett, Jimmy [University of Missouri, St. Louis; Yang, Xiaohan [ORNL; Ye, Chuyu [ORNL; Mauro-Herrera, Margarita [Oklahoma State University; Wang, Lin [Cornell University; Li, Pinghua [Cornell University; Sharma, Manoj [University of California, Davis; Sharma, Rita [University of California, Davis; Ronald, Pamela [University of California, Davis; Panaud, Olivier [Universite de Perpignan, Perpignan, France; Kellogg, Elizabeth A. [University of Missouri, St. Louis; Brutnell, Thomas P. [Cornell University; Doust, Andrew N. [Oklahoma State University; Tuskan, Gerald A [ORNL; Rokhsar, Daniel [U.S. Department of Energy, Joint Genome Institute; Devos, Katrien M [ORNL

    2012-01-01T23:59:59.000Z

    We generated a high-quality reference genome sequence for foxtail millet (Setaria italica). The ~400-Mb assembly covers ~80% of the genome and >95% of the gene space. The assembly was anchored to a 992-locus genetic map and was annotated by comparison with >1.3 million expressed sequence tag reads. We produced more than 580 million RNA-Seq reads to facilitate expression analyses. We also sequenced Setaria viridis, the ancestral wild relative of S. italica, and identified regions of differential single-nucleotide polymorphism density, distribution of transposable elements, small RNA content, chromosomal rearrangement and segregation distortion. The genus Setaria includes natural and cultivated species that demonstrate a wide capacity for adaptation. The genetic basis of this adaptation was investigated by comparing five sequenced grass genomes. We also used the diploid Setaria genome to evaluate the ongoing genome assembly of a related polyploid, switchgrass (Panicum virgatum).

  13. Speeding Up the Process of Modeling Temporary Structures in a Building Information Model Using Predefined Families

    E-Print Network [OSTI]

    Sabahi, Parsa

    2012-02-14T23:59:59.000Z

    It has been less than a decade that Building Information Modeling (BIM) has been used in construction industries. During this short period of time the application of this new modeling approach has increased significantly, but still the main users...

  14. Solid waste projection model: Model version 1. 0 technical reference manual

    SciTech Connect (OSTI)

    Wilkins, M.L.; Crow, V.L.; Buska, D.E. (Pacific Northwest Lab., Richland, WA (USA)); Ouderkirk, S.J. (Boeing Computer Services Co., Richland, WA (USA))

    1990-11-01T23:59:59.000Z

    The Solid Waste Projection Model (SWPM) system is an analytical tool developed by Pacific Northwest Laboratory (PNL) for Westinghouse Hanford Company (WHC). The SWPM system provides a modeling and analysis environment that supports decisions in the process of evaluating various solid waste management alternatives. This document, one of a series describing the SWPM system, contains detailed information regarding the software utilized in developing Version 1.0 of the modeling unit of SWPM. This document is intended for use by experienced software engineers and supports programming, code maintenance, and model enhancement. Those interested in using SWPM should refer to the SWPM Model User's Guide. This document is available from either the PNL project manager (D. L. Stiles, 509-376-4154) or the WHC program monitor (B. C. Anderson, 509-373-2796). 8 figs.

  15. Infiltration modeling guidelines for commercial building energy analysis

    SciTech Connect (OSTI)

    Gowri, Krishnan; Winiarski, David W.; Jarnagin, Ronald E.

    2009-09-30T23:59:59.000Z

    This report presents a methodology for modeling air infiltration in EnergyPlus to account for envelope air barrier characteristics. Based on a review of various infiltration modeling options available in EnergyPlus and sensitivity analysis, the linear wind velocity coefficient based on DOE-2 infiltration model is recommended. The methodology described in this report can be used to calculate the EnergyPlus infiltration input for any given building level infiltration rate specified at known pressure difference. The sensitivity analysis shows that EnergyPlus calculates the wind speed based on zone altitude, and the linear wind velocity coefficient represents the variation in infiltration heat loss consistent with building location and weather data.

  16. Water Rights Analysis Package (WRAP) Modeling System Reference Manual

    E-Print Network [OSTI]

    Wurbs, R.

    2012-10-01T23:59:59.000Z

    The Texas Water Resources Institute (TWRI), and many other agencies and organizations, have worked with Ralph Wurbs over the years to develop WRAP (the Water Rights Analysis Package). The WRAP model simulates management of the water resources of a...

  17. Reference genome sequence of the model plant Setaria

    E-Print Network [OSTI]

    2012-01-01T23:59:59.000Z

    method for rapid multiple sequence alignment based on fastJ.L. Foxtail millet: A sequence-driven grass model system.of Large Biological Sequence Datasets under the Maximum

  18. Agents and artefacts for multiple models co-evolution Building complex system simulation as a set of interacting models

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Agents and artefacts for multiple models co-evolution Building complex system simulation as a set of modelling style. [...] Thus the distinction in Cite as: AA4MM: Building complex system simulation as a set. The challenge is then to allow those scientists to build a complex simulation from their own building blocks

  19. Building 235-F Goldsim Fate And Transport Model

    SciTech Connect (OSTI)

    Taylor, G. A.; Phifer, M. A.

    2012-09-14T23:59:59.000Z

    Savannah River National Laboratory (SRNL) personnel, at the request of Area Completion Projects (ACP), evaluated In-Situ Disposal (ISD) alternatives that are under consideration for deactivation and decommissioning (D&D) of Building 235-F and the Building 294-2F Sand Filter. SRNL personnel developed and used a GoldSim fate and transport model, which is consistent with Musall 2012, to evaluate relative to groundwater protection, ISD alternatives that involve either source removal and/or the grouting of portions or all of 235-F. This evaluation was conducted through the development and use of a Building 235-F GoldSim fate and transport model. The model simulates contaminant release from four 235-F process areas and the 294-2F Sand Filter. In addition, it simulates the fate and transport through the vadose zone, the Upper Three Runs (UTR) aquifer, and the Upper Three Runs (UTR) creek. The model is designed as a stochastic model, and as such it can provide both deterministic and stochastic (probabilistic) results. The results show that the median radium activity concentrations exceed the 5 ?Ci/L radium MCL at the edge of the building for all ISD alternatives after 10,000 years, except those with a sufficient amount of inventory removed. A very interesting result was that grouting was shown to basically have minimal effect on the radium activity concentration. During the first 1,000 years grouting may have some small positive benefit relative to radium, however after that it may have a slightly deleterious effect. The Pb-210 results, relative to its 0.06 ?Ci/L PRG, are essentially identical to the radium results, but the Pb-210 results exhibit a lesser degree of exceedance. In summary, some level of inventory removal will be required to ensure that groundwater standards are met.

  20. Air Dispersion Modeling for Building 3026C/D Demolition

    SciTech Connect (OSTI)

    Ward, Richard C [ORNL; Sjoreen, Andrea L [ORNL; Eckerman, Keith F [ORNL

    2010-06-01T23:59:59.000Z

    This report presents estimates of dispersion coefficients and effective dose for potential air dispersion scenarios of uncontrolled releases from Oak Ridge National Laboratory (ORNL) buildings 3026C, 3026D, and 3140 prior to or during the demolition of the 3026 Complex. The Environmental Protection Agency (EPA) AERMOD system1-6 was used to compute these estimates. AERMOD stands for AERMIC Model, where AERMIC is the American Meteorological Society-EPA Regulatory Model Improvement Committee. Five source locations (three in building 3026D and one each in building 3026C and the filter house 3140) and associated source characteristics were determined with the customer. In addition, the area of study was determined and building footprints and intake locations of air-handling systems were obtained. In addition to the air intakes, receptor sites consisting of ground level locations on four polar grids (50 m, 100 m, 200 m, and 500 m) and two intersecting lines of points (50 m separation), corresponding to sidewalks along Central Avenue and Fifth Street. Three years of meteorological data (2006 2008) were used each consisting of three datasets: 1) National Weather Service data; 2) upper air data for the Knoxville-Oak Ridge area; and 3) local weather data from Tower C (10 m, 30 m and 100 m) on the ORNL reservation. Annual average air concentration, highest 1 h average and highest 3 h average air concentrations were computed using AERMOD for the five source locations for the three years of meteorological data. The highest 1 h average air concentrations were converted to dispersion coefficients to characterize the atmospheric dispersion as the customer was interested in the most significant response and the highest 1 h average data reflects the best time-averaged values available from the AERMOD code. Results are presented in tabular and graphical form. The results for dose were obtained using radionuclide activities for each of the buildings provided by the customer.7 Radiation dose was calculated assuming complete release of the building inventory as information was lacking regarding the portion of the building inventory expected to be released. Thus the results are derived using an extremely conservative release as documented in the Preliminary Hazard Screening report.7 To more closely approximate the result of a release, one must estimate the fraction of the total inventory released and multiply the results described above by that fraction. An example of how this calculation is accomplished is provided. Should an actual uncontrolled release occur, the results of this modeling effort could only be used to establish a rough order-of-magnitude for the event.

  1. Parabolic Trough Reference Plant for Cost Modeling with the Solar Advisor Model (SAM)

    SciTech Connect (OSTI)

    Turchi, C.

    2010-07-01T23:59:59.000Z

    This report describes a component-based cost model developed for parabolic trough solar power plants. The cost model was developed by the National Renewable Energy Laboratory (NREL), assisted by WorleyParsons Group Inc., for use with NREL's Solar Advisor Model (SAM). This report includes an overview and explanation of the model, two summary contract reports from WorleyParsons, and an Excel spreadsheet for use with SAM. The cost study uses a reference plant with a 100-MWe capacity and six hours of thermal energy storage. Wet-cooling and dry-cooling configurations are considered. The spreadsheet includes capital and operating cost by component to allow users to estimate the impact of changes in component costs.

  2. Hybrid Model for Building Performance Diagnosis and Optimal Control

    E-Print Network [OSTI]

    Wang, S.; Xu, X.

    2003-01-01T23:59:59.000Z

    simulation model is based on first principles, either a detailed first principles model, such as EnergyPlus (Crawley and Drury 2000), DOE-2 (Ed Kidd et al. 2001), or a simplified first principles model, such as AIRMODEL (Giebler et al. 1998) which....D. (1999). Whole building diagnostics. http://poet.lbl.gov/diagworkshop/proceedings Crawley, Drury B. (2000). EnergyPlus: energy simulation program; ASHRAE Journal Apr 2000; Vol. 42(4):49-56. Davis L. (1991). Handbook of genetic algorithms. New...

  3. Experiences of Using Models and Information of Building Automation System in Commissioning

    E-Print Network [OSTI]

    Keranen, H.; Kalema, T.; Pesonen, A.

    2004-01-01T23:59:59.000Z

    Simulation programs are widely used in the design of heating and cooling devices. However, modeling of the whole building with simulation programs is exceptional at least in Finland. We have built and utilized whole building models in a...

  4. Model for thermally driven heat and air transport in passive solar buildings

    SciTech Connect (OSTI)

    Jones, G.F.; Balcomb, J.D.; Otis, D.R.

    1985-01-01T23:59:59.000Z

    A model for transient interzone heat and air flow transport in passive solar buildings is presented incorporating wall boundary layers in stratified zones, and with interzone transport via apertures (doors and windows). The model includes features that have been observed in measurements taken in more than a dozen passive solar buildings. The model includes integral formulations of the laminar and turbulent boundary layer equations for the vertical walls which are then coupled to a one-dimensional core model for each zone. The cores in each zone exchange mass and energy through apertures that are modeled by an orifice type equation. The procedure is transient in that time dependence is retained only in the core equations which are solved by an explicit method. The model predicts room stratification of about 2/sup 0/C/m (1.1/sup 0/F/ft) for a room-to-room temperature difference of 0.56/sup 0/C(1/sup 0/F) which is in general agreement with the data. 38 references, 10 figures, 1 table.

  5. Studio Education for Integrated Practice Using Building Information Modeling

    E-Print Network [OSTI]

    O?zener, Ozan O?zener

    2011-02-22T23:59:59.000Z

    ; M.Arch., Istanbul Technical University Chair of Advisory Committee: Dr. Mark J. Clayton This research study posits that an altered educational approach to design studio can produce future professionals who apply Building Information Modeling... (BIM) in the context of Integrated Project Delivery (IPD) to execute designs faster and produce designs that have demonstrably higher performance. The combination of new technologies and social/contractual constructs represents an alternative...

  6. FORTRAN M as a language for building earth system models

    SciTech Connect (OSTI)

    Foster, I.

    1992-12-31T23:59:59.000Z

    FORTRAN M is a small set of extensions to FORTRAN 77 that supports a modular or object-oriented approach to the development of parallel programs. In this paper, I discuss the use of FORTRAN M as a tool for building earth system models on massively parallel computers. I hypothesize that the use of FORTRAN M has software engineering advantages and outline experiments that we are conducting to investigate this hypothesis.

  7. FORTRAN M as a language for building earth system models

    SciTech Connect (OSTI)

    Foster, I.

    1992-01-01T23:59:59.000Z

    FORTRAN M is a small set of extensions to FORTRAN 77 that supports a modular or object-oriented approach to the development of parallel programs. In this paper, I discuss the use of FORTRAN M as a tool for building earth system models on massively parallel computers. I hypothesize that the use of FORTRAN M has software engineering advantages and outline experiments that we are conducting to investigate this hypothesis.

  8. Product and Process Modeling for Functional Performance Testing in Low-Energy Building Embedded Commissioning Cases 

    E-Print Network [OSTI]

    Akcamete, A.; Garrett, J.; Akinci, B.; Akin, O.; Lee, K. J.

    2007-01-01T23:59:59.000Z

    Our work deals with creating information assistance for commissioning (Cx) low-energy buildings throughout their life-cycle. We call this Embedded Commissioning in reference to the integration of persistent and reliable Cx information. We have...

  9. MODELING OF HEAT TRANSFER IN ROOMS IN THE MODELICA "BUILDINGS" LIBRARY

    E-Print Network [OSTI]

    describes the implementation of the room heat transfer model in the free open-source Modelica "Buildings

  10. 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.

  11. Model Reduction for Indoor-Air Behavior in Control Design for Energy-Efficient Buildings

    E-Print Network [OSTI]

    Gugercin, Serkan

    Model Reduction for Indoor-Air Behavior in Control Design for Energy-Efficient Buildings Jeff models for the indoor-air environment in control design for energy efficient buildings. In one method by a desire to incorporate models of the indoor-air environment in the design of energy efficient buildings

  12. Developing a Model for Planning and Controlling Production in Small Sized Building Firms Proceedings IGLC `98

    E-Print Network [OSTI]

    Tommelein, Iris D.

    Developing a Model for Planning and Controlling Production in Small Sized Building Firms Proceedings IGLC `98 DEVELOPING A MODEL FOR PLANNING AND CONTROLLING PRODUCTION IN SMALL SIZED BUILDING FIRMS process of a model for planning and controlling production in small sized building companies, as well

  13. Model building in neural networks with hidden Markov models 

    E-Print Network [OSTI]

    Wynne-Jones, Michael

    This thesis concerns the automatic generation of architectures for neural networks and other pattern recognition models comprising many elements of the same type. The requirement for such models, with automatically ...

  14. An Instanton Toolbox for F-Theory Model Building

    E-Print Network [OSTI]

    Joseph Marsano; Natalia Saulina; Sakura Schafer-Nameki

    2009-07-23T23:59:59.000Z

    Several dimensionful parameters needed for model building can be engineered in a certain class of SU(5) F-theory GUTs by adding extra singlet fields which are localized along pairwise intersections of D7-branes. The values of these parameters, however, depend on dynamics external to the GUT which causes the singlets to acquire suitable masses or expectation values. In this note, we demonstrate that D3-instantons which wrap the same 4-cycle as one of the intersecting D7's can provide precisely the needed dynamics to generate several important scales, including the supersymmetry-breaking scale and the right-handed neutrino mass. Furthermore, these instantons seem unable to directly generate the \\mu term suggesting that, at least in this class of models, it should perhaps be tied to one of the other scales in the problem. More specifically, we study the simple system consisting of a pair of D7-branes wrapping del Pezzo surfaces which intersect along a curve $\\Sigma$ of genus 0 or 1 and classify all instanton configurations which can potentially contribute to the superpotential. This allows one to formulate topological conditions which must be imposed on \\Sigma for various model-building applications. Along the way, we also observe that the construction of arXiv:0808.1286 which engineers a linear superpotential in fact realizes an O'Raifeartaigh model at the KK scale whose 1-loop Coleman-Weinberg potential generically leads to a metastable, long-lived SUSY-breaking vacuum.

  15. Building Scientific Workflows for Earth System Modelling with Windows Workflow Foundation

    E-Print Network [OSTI]

    Building Scientific Workflows for Earth System Modelling with Windows Workflow Foundation Matthew J developed a framework for the composition, execution and management of integrated Earth system models

  16. Greensburg, Kansas: Building a Model Green Community, How Would...

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

    Study Database The Greensburg High Performance Buildings Database highlights building case studies that include design details and energy information for the town's new...

  17. Validation of the Window Model of the Modelica Buildings Library

    E-Print Network [OSTI]

    Nouidui, Thierry Stephane

    2014-01-01T23:59:59.000Z

    Recent developments of the Modelica buildings library forthe 8th International Modelica Conference. Dresden, Germany,transfer in rooms in the Modelica "Buildings" library. Proc.

  18. Computer Modeling VRF Heat Pumps in Commercial Buildings using EnergyPlus

    SciTech Connect (OSTI)

    Raustad, Richard

    2013-06-01T23:59:59.000Z

    Variable Refrigerant Flow (VRF) heat pumps are increasingly used in commercial buildings in the United States. Monitored energy use of field installations have shown, in some cases, savings exceeding 30% compared to conventional heating, ventilating, and air-conditioning (HVAC) systems. A simulation study was conducted to identify the installation or operational characteristics that lead to energy savings for VRF systems. The study used the Department of Energy EnergyPlus? building simulation software and four reference building models. Computer simulations were performed in eight U.S. climate zones. The baseline reference HVAC system incorporated packaged single-zone direct-expansion cooling with gas heating (PSZ-AC) or variable-air-volume systems (VAV with reheat). An alternate baseline HVAC system using a heat pump (PSZ-HP) was included for some buildings to directly compare gas and electric heating results. These baseline systems were compared to a VRF heat pump model to identify differences in energy use. VRF systems combine multiple indoor units with one or more outdoor unit(s). These systems move refrigerant between the outdoor and indoor units which eliminates the need for duct work in most cases. Since many applications install duct work in unconditioned spaces, this leads to installation differences between VRF systems and conventional HVAC systems. To characterize installation differences, a duct heat gain model was included to identify the energy impacts of installing ducts in unconditioned spaces. The configuration of variable refrigerant flow heat pumps will ultimately eliminate or significantly reduce energy use due to duct heat transfer. Fan energy is also studied to identify savings associated with non-ducted VRF terminal units. VRF systems incorporate a variable-speed compressor which may lead to operational differences compared to single-speed compression systems. To characterize operational differences, the computer model performance curves used to simulate cooling operation are also evaluated. The information in this paper is intended to provide a relative difference in system energy use and compare various installation practices that can impact performance. Comparative results of VRF versus conventional HVAC systems include energy use differences due to duct location, differences in fan energy when ducts are eliminated, and differences associated with electric versus fossil fuel type heating systems.

  19. 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...

  20. TIME-VARYING LINEAR MODEL APPROXIMATION: APPLICATION TO THERMAL AND AIRFLOW BUILDING SIMULATION

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    TIME-VARYING LINEAR MODEL APPROXIMATION: APPLICATION TO THERMAL AND AIRFLOW BUILDING SIMULATION Nowadays, most of the numerical tools dedicated to simulating the thermal behavior of buildings, consider is demonstrated by its application to the simulation of a multi-zones building. THERMAL AND AIRFLOW MODELS

  1. State-based Modeling of Buildings and Facilities 

    E-Print Network [OSTI]

    Fisch, M.N.; Pinkernell, C.; Look, M.; Plesser, S.; Rumpe, B.

    2011-01-01T23:59:59.000Z

    State-Based Modeling of Buildings and Facilities Univ.-Prof. Dr. Ing. M. Norbert Fisch IGS TU Braunschweig http://www.igs.bau.tu-bs.de Dipl.-Inform. Claas Pinkernell synavision GmbH http://www.synavision.de Dipl.-Inform. Markus... Look Software Engineering RWTH Aachen University http://www.se-rwth.de Dipl.-Ing. Architekt Stefan Plesser synavision GmbH http://www.synavision.de Univ.-Prof. Dr. Bernhard Rumpe Software Engineering RWTH Aachen University http...

  2. Rapid model building of ?-sheets in electron-density maps

    SciTech Connect (OSTI)

    Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)

    2010-03-01T23:59:59.000Z

    A method for rapid model building of ?-sheets at moderate resolution is presented. A method for rapidly building ?-sheets into electron-density maps is presented. ?-Strands are identified as tubes of high density adjacent to and nearly parallel to other tubes of density. The alignment and direction of each strand are identified from the pattern of high density corresponding to carbonyl and C{sup ?} atoms along the strand averaged over all repeats present in the strand. The ?-strands obtained are then assembled into a single atomic model of the ?-sheet regions. The method was tested on a set of 42 experimental electron-density maps at resolutions ranging from 1.5 to 3.8 Ĺ. The ?-sheet regions were nearly completely built in all but two cases, the exceptions being one structure at 2.5 Ĺ resolution in which a third of the residues in ?-sheets were built and a structure at 3.8 Ĺ in which under 10% were built. The overall average r.m.s.d. of main-chain atoms in the residues built using this method compared with refined models of the structures was 1.5 Ĺ.

  3. 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...

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

    E-Print Network [OSTI]

    Lee, S. U.; Claridge, D.

    2002-01-01T23:59:59.000Z

    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...

  5. 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...

  6. Jobs and Economic Development Impact (JEDI) Model Geothermal User Reference Guide

    SciTech Connect (OSTI)

    Johnson, C.; Augustine, C.; Goldberg, M.

    2012-09-01T23:59:59.000Z

    The Geothermal Jobs and Economic Development Impact (JEDI) model, developed through the National Renewable Energy Laboratory (NREL), is an Excel-based user-friendly tools that estimates the economic impacts of constructing and operating hydrothermal and Enhanced Geothermal System (EGS) power generation projects at the local level for a range of conventional and renewable energy technologies. The JEDI Model Geothermal User Reference Guide was developed to assist users in using and understanding the model. This guide provides information on the model's underlying methodology, as well as the parameters and references used to develop the cost data utilized in the model. This guide also provides basic instruction on model add-in features, operation of the model, and a discussion of how the results should be interpreted.

  7. Comparison of Demand Response Performance with an EnergyPlus Model in a Low Energy Campus Building

    E-Print Network [OSTI]

    Dudley, Junqiao Han

    2010-01-01T23:59:59.000Z

    We have studied a low energy building on a campus of theEnergyPlus Model in a Low Energy Campus Building Junqiao HanEnergyPlus Model in a Low Energy Campus Building Junqiao Han

  8. How much do helioseismological inferences depend upon the assumed reference model?

    E-Print Network [OSTI]

    Sarbani Basu; M. H. Pinsonneault; John N. Bahcall

    1999-09-14T23:59:59.000Z

    We investigate systematic uncertainties in determining the profiles of the solar sound speed, density, and adiabatic index by helioseismological techniques. We find that rms uncertainties-averaged over the sun of ~ 0.2%-0.4% are contributed to the sound speed profile by each of three sources: 1)the choice of assumed reference model, 2) the width of the inversion kernel, and 3) the measurements errors. The density profile is about an order of magnitude less well determined by the helioseismological measurements. The profile of the adiabatic index is determined to an accuracy of about 0.2% . We find that even relatively crude reference models yield reasonably accurate solar parameters.

  9. Modeling National Impacts for the Building America Program

    SciTech Connect (OSTI)

    Coughlin, Katie M.; McNeil, Michael A.

    2006-06-15T23:59:59.000Z

    In this paper we present a model to estimate the nationalenergy and economic impacts of the Department of Energy Building Americaprogram. The program goal is to improve energy performance in newresidential construction, by working with builders to design andconstruct energy-efficient homes at minimal cost. The model is anadaptation of the method used to calculate the national energy savingsfor appliance energy efficiency standards. The main difference is thatthe key decision here is not the consumer decision to buy anefficienthouse, but rather the builder decision to offer such a house inthe market. The builder decision is treated by developing a number ofscenarios in which the relative importance of first costs vs. energysavings is varied.

  10. FORTRAN M AS A LANGUAGE FOR BUILDING EARTH SYSTEM MODELS \\Lambda

    E-Print Network [OSTI]

    FORTRAN M AS A LANGUAGE FOR BUILDING EARTH SYSTEM MODELS \\Lambda Ian Foster Mathematics as a tool for building earth system models on massively parallel computers. I hypothesize that the use to investigate this hypothe­ sis. 2. Earth System Models An earth system model is a computer code designed

  11. Transmission Line Jobs and Economic Development Impact (JEDI) Model User Reference Guide

    SciTech Connect (OSTI)

    Goldberg, M.; Keyser, D.

    2013-10-01T23:59:59.000Z

    The Jobs and Economic Development Impact (JEDI) models, developed through the National Renewable Energy Laboratory (NREL), are freely available, user-friendly tools that estimate the potential economic impacts of constructing and operating power generation projects for a range of conventional and renewable energy technologies. The Transmission Line JEDI model can be used to field questions about the economic impacts of transmission lines in a given state, region, or local community. This Transmission Line JEDI User Reference Guide was developed to provide basic instruction on operating the model and understanding the results. This guide also provides information on the model's underlying methodology, as well as the parameters and references used to develop the cost data contained in the model.

  12. A Study of Building Information Modeling Usage through the Perceived Utilization of Facilities Management Training, Building Information Modeling Technical Specifications, and a Quality Building Information Model for Facilities Management at Higher Educational Institutions in Texas

    E-Print Network [OSTI]

    Thompson, Darrell

    2014-12-15T23:59:59.000Z

    The research for this study investigated the correlation between the perceived usage of Building Information Modeling in Facilities Management and; the perceived training level of the FM personnel, the perceived specification requirement...

  13. Modeling Zero Energy Building: technical and economical optimization Maria Ferrara1-2

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Modeling Zero Energy Building: technical and economical optimization Maria Ferrara1-2 , Joseph by the recast of Energy Performance of Buildings. The aim of this work is to provide a useful method to deal combines the use of TRNSYS, building energy simulation program, with GenOpt, Generic Optimization program

  14. Ventilation performance prediction for buildings: Model Assessment Qingyan Chena,b,*

    E-Print Network [OSTI]

    Chen, Qingyan "Yan"

    1 Ventilation performance prediction for buildings: Model Assessment Qingyan Chena,b,* , Kisup Leeb ventilation systems for buildings requires a suitable tool to assess the system performance-scale experimental, multizone network, zonal, and CFD) for predicting ventilation performance in buildings, which can

  15. PENMAN Upper Model Building a LargeScale Knowledge Base for Machine Translation

    E-Print Network [OSTI]

    Knight, Kevin

    f g et al. Abstract PENMAN Upper Model Building a Large­Scale Knowledge Base for Machine­ gineer to build up an index to a KB in a second language, such as Spanish or Japanese. USC is a three­site collabora­ tive effort to build a large­scale knowledge­based ma­ chine translation system

  16. Pseudo Dynamic Transitional Modeling of Building Heating Energy Demand Using Artificial1 Neural Network2

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Transitional Modeling of Building Heating Energy Demand Using Artificial1 Neural Network2 Subodh Paudel a, it is39 essential to know energy flows and energy demand of the buildings for the control of heating and40 cooling energy production from plant systems. The energy demand of the building system, thus,41

  17. Buildings and corporate strategy : towards a management system model

    E-Print Network [OSTI]

    Brana, Rodrigo

    1985-01-01T23:59:59.000Z

    This thesis focuses on buildings as a subject of attention and inquiry in a corporate setting. It attempts to draw implications for the design of a management system to deal with the special nature of buildings as a resource. ...

  18. Model-based benchmarking with application to laboratory buildings

    E-Print Network [OSTI]

    Federspiel, Clifford Ph.D.; Zhang, Qiang; Arens, Edward Ph.D

    2002-01-01T23:59:59.000Z

    hydraulic elevators more than buildings with counterweighted elevators. Efficient air distribution VAV laboratories will use considerably less energy

  19. A Taxonomy of Visualization Techniques using the Data State Reference Model

    E-Print Network [OSTI]

    Indiana University

    A Taxonomy of Visualization Techniques using the Data State Reference Model Ed H. Chi Xerox Palo In previous work, researchers have attempted to construct taxonomies of information visualization techniques, these taxonomies do not help the implementers understand how to apply and implement these techniques. In this paper

  20. A Model Reference Adaptive PID Control for Electromagnetic Actuated Micro-positioning Stage

    E-Print Network [OSTI]

    Li, Yangmin

    , a model reference adaptive PID controller design process is introduced. Then control parameters the process for controlling the micro- positioning stage, which shows that the adopted controller can drive between the moving platform and the stator. Several kinds of actuators can realize non

  1. Building Simulation Modelers Are we big data ready?

    E-Print Network [OSTI]

    Tennessee, University of

    · Plugs · Lights · Range · Washer · Radiated heat · Dryer · Refrigerator · Dishwasher · Heat pump air flow buildings during the development process. Fleet of Residential `Test Buildings' Two Light Commercial `Test Buildings' #12;7 Real demonstration facilities Residential homes 2800 ft2 residence 269 sensors @ 15-minutes

  2. Rapid model building of ?-helices in electron-density maps

    SciTech Connect (OSTI)

    Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)

    2010-03-01T23:59:59.000Z

    A method for rapid model building of ?-helices at moderate resolution is presented. A method for the identification of ?-helices in electron-density maps at low resolution followed by interpretation at moderate to high resolution is presented. Rapid identification is achieved at low resolution, where ?-helices appear as tubes of density. The positioning and direction of the ?-helices is obtained at moderate to high resolution, where the positions of side chains can be seen. The method was tested on a set of 42 experimental electron-density maps at resolutions ranging from 1.5 to 3.8 Ĺ. An average of 63% of the ?-helical residues in these proteins were built and an average of 76% of the residues built matched helical residues in the refined models of the proteins. The overall average r.m.s.d. between main-chain atoms in the modeled ?-helices and the nearest atom with the same name in the refined models of the proteins was 1.3 Ĺ.

  3. Building Simulation Modelers are we big-data ready?

    SciTech Connect (OSTI)

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

    2014-01-01T23:59:59.000Z

    Recent advances in computing and sensor technologies have pushed the amount of data we collect or generate to limits previously unheard of. Sub-minute resolution data from dozens of channels is becoming increasingly common and is expected to increase with the prevalence of non-intrusive load monitoring. Experts are running larger building simulation experiments and are faced with an increasingly complex data set to analyze and derive meaningful insight. This paper focuses on the data management challenges that building modeling experts may face in data collected from a large array of sensors, or generated from running a large number of building energy/performance simulations. The paper highlights the technical difficulties that were encountered and overcome in order to run 3.5 million EnergyPlus simulations on supercomputers and generating over 200 TBs of simulation output. This extreme case involved development of technologies and insights that will be beneficial to modelers in the immediate future. The paper discusses different database technologies (including relational databases, columnar storage, and schema-less Hadoop) in order to contrast the advantages and disadvantages of employing each for storage of EnergyPlus output. Scalability, analysis requirements, and the adaptability of these database technologies are discussed. Additionally, unique attributes of EnergyPlus output are highlighted which make data-entry non-trivial for multiple simulations. Practical experience regarding cost-effective strategies for big-data storage is provided. The paper also discusses network performance issues when transferring large amounts of data across a network to different computing devices. Practical issues involving lag, bandwidth, and methods for synchronizing or transferring logical portions of the data are presented. A cornerstone of big-data is its use for analytics; data is useless unless information can be meaningfully derived from it. In addition to technical aspects of managing big data, the paper details design of experiments in anticipation of large volumes of data. The cost of re-reading output into an analysis program is elaborated and analysis techniques that perform analysis in-situ with the simulations as they are run are discussed. The paper concludes with an example and elaboration of the tipping point where it becomes more expensive to store the output than re-running a set of simulations.

  4. Modeling of Heat Transfer in Rooms in the Modelica Buildings Library

    E-Print Network [OSTI]

    Wetter, Michael

    2013-01-01T23:59:59.000Z

    Multizone Air- flow Model in Modelica. ” Edited by ChristianRecent developments of the Modelica buildings library forof the 8-th International Modelica Conference. Modelica

  5. Influence of two dynamic predictive clothing insulation models on building energy performance

    E-Print Network [OSTI]

    Lee, Kwang Ho; Schiavon, Stefano

    2013-01-01T23:59:59.000Z

    Predictive Clothing Insulation Models on Building Energyunnecessarily higher clothing insulation and lower heatingthat the constant clothing insulation assumption lead to the

  6. Petroleum Refinery Jobs and Economic Development Impact (JEDI) Model User Reference Guide

    SciTech Connect (OSTI)

    Goldberg, M.

    2013-12-31T23:59:59.000Z

    The Jobs and Economic Development Impact (JEDI) models, developed through the National Renewable Energy Laboratory (NREL), are user-friendly tools utilized to estimate the economic impacts at the local level of constructing and operating fuel and power generation projects for a range of conventional and renewable energy technologies. The JEDI Petroleum Refinery Model User Reference Guide was developed to assist users in employing and understanding the model. This guide provides information on the model's underlying methodology, as well as the parameters and references used to develop the cost data utilized in the model. This guide also provides basic instruction on model add-in features, operation of the model, and a discussion of how the results should be interpreted. Based on project-specific inputs from the user, the model estimates job creation, earning and output (total economic activity) for a given petroleum refinery. This includes the direct, indirect and induced economic impacts to the local economy associated with the refinery's construction and operation phases. Project cost and job data used in the model are derived from the most current cost estimations available. Local direct and indirect economic impacts are estimated using economic multipliers derived from IMPLAN software. By determining the regional economic impacts and job creation for a proposed refinery, the JEDI Petroleum Refinery model can be used to field questions about the added value refineries may bring to the local community.

  7. Comparison of Demand Response Performance with an EnergyPlus Model in a Low Energy Campus Building

    E-Print Network [OSTI]

    Dudley, Junqiao Han

    2010-01-01T23:59:59.000Z

    of Automated Demand Response in a Large Office Building”, inBuilding Control Strategies and Techniques for Demand Response.Demand Response Performance with an EnergyPlus Model in a Low Energy Campus Building

  8. Tools for macromolecular model building and refinement into electron cryo-microscopy reconstructions

    SciTech Connect (OSTI)

    Brown, Alan; Long, Fei; Nicholls, Robert A.; Toots, Jaan; Emsley, Paul; Murshudov, Garib, E-mail: garib@mrc-lmb.cam.ac.uk [MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH (United Kingdom)

    2015-01-01T23:59:59.000Z

    A description is given of new tools to facilitate model building and refinement into electron cryo-microscopy reconstructions. The recent rapid development of single-particle electron cryo-microscopy (cryo-EM) now allows structures to be solved by this method at resolutions close to 3 Ĺ. Here, a number of tools to facilitate the interpretation of EM reconstructions with stereochemically reasonable all-atom models are described. The BALBES database has been repurposed as a tool for identifying protein folds from density maps. Modifications to Coot, including new Jiggle Fit and morphing tools and improved handling of nucleic acids, enhance its functionality for interpreting EM maps. REFMAC has been modified for optimal fitting of atomic models into EM maps. As external structural information can enhance the reliability of the derived atomic models, stabilize refinement and reduce overfitting, ProSMART has been extended to generate interatomic distance restraints from nucleic acid reference structures, and a new tool, LIBG, has been developed to generate nucleic acid base-pair and parallel-plane restraints. Furthermore, restraint generation has been integrated with visualization and editing in Coot, and these restraints have been applied to both real-space refinement in Coot and reciprocal-space refinement in REFMAC.

  9. Autoignition of toluene reference fuels at high pressures modeled with detailed chemical kinetics

    SciTech Connect (OSTI)

    Andrae, J.C.G. [Department of Chemical Engineering and Technology, Royal Institute of Technology, SE-100 44 Stockholm (Sweden); Shell Global Solutions, P.O. Box 1, Chester CH1 3SH (United Kingdom); Bjoernbom, P. [Department of Chemical Engineering and Technology, Royal Institute of Technology, SE-100 44 Stockholm (Sweden); Cracknell, R.F.; Kalghatgi, G.T. [Shell Global Solutions, P.O. Box 1, Chester CH1 3SH (United Kingdom)

    2007-04-15T23:59:59.000Z

    A detailed chemical kinetic model for the autoignition of toluene reference fuels (TRF) is presented. The toluene submechanism added to the Lawrence Livermore Primary Reference Fuel (PRF) mechanism was developed using recent shock tube autoignition delay time data under conditions relevant to HCCI combustion. For two-component fuels the model was validated against recent high-pressure shock tube autoignition delay time data for a mixture consisting of 35% n-heptane and 65% toluene by liquid volume. Important features of the autoignition of the mixture proved to be cross-acceleration effects, where hydroperoxy radicals produced during n-heptane oxidation dramatically increased the oxidation rate of toluene compared to the case when toluene alone was oxidized. Rate constants for the reaction of benzyl and hydroperoxyl radicals previously used in the modeling of the oxidation of toluene alone were untenably high for modeling of the mixture. To model both systems it was found necessary to use a lower rate and introduce an additional branching route in the reaction between benzyl radicals and O{sub 2}. Good agreement between experiments and predictions was found when the model was validated against shock tube autoignition delay data for gasoline surrogate fuels consisting of mixtures of 63-69% isooctane, 14-20% toluene, and 17% n-heptane by liquid volume. Cross reactions such as hydrogen abstractions between toluene and alkyl and alkylperoxy radicals and between the PRF were introduced for completion of chemical description. They were only of small importance for modeling autoignition delays from shock tube experiments, even at low temperatures. A single-zone engine model was used to evaluate how well the validated mechanism could capture autoignition behavior of toluene reference fuels in a homogeneous charge compression ignition (HCCI) engine. The model could qualitatively predict the experiments, except in the case with boosted intake pressure, where the initial temperature had to be increased significantly in order to predict the point of autoignition. (author)

  10. Building an Efficient Model for Afterburn Energy Release

    SciTech Connect (OSTI)

    Alves, S; Kuhl, A; Najjar, F; Tringe, J; McMichael, L; Glascoe, L

    2012-02-03T23:59:59.000Z

    Many explosives will release additional energy after detonation as the detonation products mix with the ambient environment. This additional energy release, referred to as afterburn, is due to combustion of undetonated fuel with ambient oxygen. While the detonation energy release occurs on a time scale of microseconds, the afterburn energy release occurs on a time scale of milliseconds with a potentially varying energy release rate depending upon the local temperature and pressure. This afterburn energy release is not accounted for in typical equations of state, such as the Jones-Wilkins-Lee (JWL) model, used for modeling the detonation of explosives. Here we construct a straightforward and efficient approach, based on experiments and theory, to account for this additional energy release in a way that is tractable for large finite element fluid-structure problems. Barometric calorimeter experiments have been executed in both nitrogen and air environments to investigate the characteristics of afterburn for C-4 and other materials. These tests, which provide pressure time histories, along with theoretical and analytical solutions provide an engineering basis for modeling afterburn with numerical hydrocodes. It is toward this end that we have constructed a modified JWL equation of state to account for afterburn effects on the response of structures to blast. The modified equation of state includes a two phase afterburn energy release to represent variations in the energy release rate and an afterburn energy cutoff to account for partial reaction of the undetonated fuel.

  11. Model Predictive Control for the Operation of Building Cooling Systems

    E-Print Network [OSTI]

    Ma, Yudong

    2010-01-01T23:59:59.000Z

    predictive control of thermal energy storage in buildingsystems which use thermal energy storage. In particular thepredictive control of thermal energy storage in building

  12. Development of model reference adaptive control theory for electric power plant control applications

    SciTech Connect (OSTI)

    Mabius, L.E.

    1982-09-15T23:59:59.000Z

    The scope of this effort includes the theoretical development of a multi-input, multi-output (MIMO) Model Reference Control (MRC) algorithm, (i.e., model following control law), Model Reference Adaptive Control (MRAC) algorithm and the formulation of a nonlinear model of a typical electric power plant. Previous single-input, single-output MRAC algorithm designs have been generalized to MIMO MRAC designs using the MIMO MRC algorithm. This MRC algorithm, which has been developed using Command Generator Tracker methodologies, represents the steady state behavior (in the adaptive sense) of the MRAC algorithm. The MRC algorithm is a fundamental component in the MRAC design and stability analysis. An enhanced MRC algorithm, which has been developed for systems with more controls than regulated outputs, alleviates the MRC stability constraint of stable plant transmission zeroes. The nonlinear power plant model is based on the Cromby model with the addition of a governor valve management algorithm, turbine dynamics and turbine interactions with extraction flows. An application of the MRC algorithm to a linearization of this model demonstrates its applicability to power plant systems. In particular, the generated power changes at 7% per minute while throttle pressure and temperature, reheat temperature and drum level are held constant with a reasonable level of control. The enhanced algorithm reduces significantly control fluctuations without modifying the output response.

  13. A Fiber Tracking Method for Building Patient Specific Dynamic Musculoskeletal Models from

    E-Print Network [OSTI]

    Gilles, Benjamin

    A Fiber Tracking Method for Building Patient Specific Dynamic Musculoskeletal Models from Diffusion tracking algorithm based on an energy minimizing active curve that is well suited for building these strand and FEM models are complex to construct and time intensive to simulate. Recently a new simulation

  14. Computational Science Technical Note CSTN-052 Simulation Modelling and Visualisation: Toolkits for Building Artificial Worlds

    E-Print Network [OSTI]

    Hawick, Ken

    }, title = {Simulation Modelling and Visualisation: Toolkits for Building Artificial Worlds}, journal0 Computational Science Technical Note CSTN-052 Simulation Modelling and Visualisation: Toolkits for Building Artificial Worlds Daniel Peter Playne and Anton P Gerdelan and Arno Leist and Chris J Scogings

  15. A New Empirical Model for Predicting Single-Sided, Wind-Driven Natural Ventilation in Buildings

    E-Print Network [OSTI]

    Chen, Qingyan "Yan"

    A New Empirical Model for Predicting Single-Sided, Wind-Driven Natural Ventilation in Buildings-sided natural ventilation is difficult due to the bi-directional flow at the opening and the complex flow around buildings. A new empirical model was developed that can predict the mean ventilation rate and fluctuating

  16. Validation and Application of the Room Model of the Modelica Buildings Library

    E-Print Network [OSTI]

    LBNL-5932E Validation and Application of the Room Model of the Modelica Buildings Library Authors and Technologies Division September 2012 Presented at the 9th International Modelica Conference 2012 #12;DISCLAIMER of California. #12;Validation and Application of the Room Model of the Modelica Buildings Library Thierry

  17. ThreadedComposite: A Mechanism for Building Concurrent and Parallel Ptolemy II Models

    E-Print Network [OSTI]

    ThreadedComposite: A Mechanism for Building Concurrent and Parallel Ptolemy II Models Edward A. Lee Electrical Engineering and Computer Sciences University of California at Berkeley Technical Report No. UCBComposite: A Mechanism for Building Concurrent and Parallel Ptolemy II Models Edward A. Lee UC Berkeley eal

  18. Model for Naturally Ventilated Cavities on the Exteriors of Opaque Building Thermal Envelopes

    SciTech Connect (OSTI)

    Griffith, B.

    2006-11-01T23:59:59.000Z

    This paper describes a model for naturally ventilated cavities on the exterior of opaque building thermal envelopes that are formed by the presence of a lightweight baffle. The model can be used for building components that are slightly detached from the main envelope (but do not connect to the interior).

  19. Development of a High-Performance Office Building Simulation Model for a Hot and Humid Climate 

    E-Print Network [OSTI]

    Cho, S.; Haberl, J.

    2009-01-01T23:59:59.000Z

    applicable to office buildings in hot and humid climates and to develop a high-performance (maximum energy-efficient) building model that only uses technologies readily available in the contemporary market. The high-performance model showed 48% total energy...

  20. TRNSYS MODELING OF A HYBRID LIGHTING SYSTEM: BUILDING ENERGY LOADS AND CHROMATICITY ANALYSIS

    E-Print Network [OSTI]

    Wisconsin at Madison, University of

    TRNSYS MODELING OF A HYBRID LIGHTING SYSTEM: BUILDING ENERGY LOADS AND CHROMATICITY ANALYSIS Frank-Solar Energy Laboratory 1500 Engineering Drive Madison, WI, 53706 USA fwburkholder@wisc.edu ABSTRACT The TRNSYS of the spectral model was necessary to perform building illumination and energy load analyses on a 2500 m2 office

  1. A Data Mining Framework for Building Intrusion Detection Models # Salvatore J. Stolfo

    E-Print Network [OSTI]

    Lee, Wenke

    A Data Mining Framework for Building Intrusion Detection Models # Wenke Lee Salvatore J. Stolfo Kui. In this paper, we describe a data mining framework for adaptively building Intrusion Detection (ID) models each network connection or host ses­ sion, and apply data mining programs to learn rules

  2. AHAM: A Dexterbased Reference Model for Adaptive Paul De Bra \\Lambda , GeertJan Houben y and Hongjing Wu

    E-Print Network [OSTI]

    Houben, Geert-Jan

    AHAM: A Dexter­based Reference Model for Adaptive Hypermedia Paul De Bra \\Lambda , Geert­Jan Houben applications. In this paper we describe a reference model for adaptive hy­ permedia applications, called AHAM to be able to explain AHAM rather than formally specify it. AHAM aug­ ments Dexter with features for doing

  3. A simplified software architecture for self-updating Building Information Models (BIM)

    E-Print Network [OSTI]

    Fuller, Pierre (Pierre Henri)

    2009-01-01T23:59:59.000Z

    Building Information Modeling (BIM) is an emerging software technology that is revolutionizing the architecture, engineering, and construction (A/E/C) industry. BIM technology employs "object-based 3D models-containing the ...

  4. Statistical Modeling of Daily Energy Consumption in Commercial Buildings Using Multiple Regression and Principal Component Analysis

    E-Print Network [OSTI]

    Reddy, T. A.; Claridge, D.; Wu, J.

    analysis to identify these models. However, such models tend to suffer from physically unreasonable regression coefficients and instability due to the fact that the predictor variables (i.e., climatic parameters, building internal loads, etc...

  5. Towards a Very Low Energy Building Stock: Modeling the U.S. Commercial Building Sector to Support Policy and Innovation Planning

    E-Print Network [OSTI]

    Coffey, Brian

    2010-01-01T23:59:59.000Z

    World Energy Outlook (IEA 2008), the bottom up models supporting IPCC “economic mitigation potentials” (IPCC 2007), the buildings chapter of the US assessment

  6. Creative agencies : a model for building community capacity

    E-Print Network [OSTI]

    Ramaccia, Elizabeth M. (Elizabeth Marie)

    2011-01-01T23:59:59.000Z

    This research investigates how existing initiatives based in artistic and non-artistic disciplines build indigenous capacity for leadership in disenfranchised communities through the application of the creative process. ...

  7. Design and thermal modeling of a residential building

    E-Print Network [OSTI]

    Yeh, Alice Su-Chin

    2009-01-01T23:59:59.000Z

    Recent trends of green energy upgrade in commercial buildings show promise for application to residential houses as well, where there are potential energy-saving benefits of retrofitting the residential heating system from ...

  8. Experiences with Modelling Issues in Building Probabilistic Networks

    E-Print Network [OSTI]

    Utrecht, Universiteit

    and Eveline M. Helsper Institute of Information and Computing Sciences, Utrecht University, P.O. Box 80.089, 3508 TB Utrecht, The Netherlands {linda,eveline}@cs.uu.nl Abstract. Building a probabilistic network

  9. An improved procedure for developing a calibrated hourly simulation model of an electrically heated and cooled commercial building

    E-Print Network [OSTI]

    Bou-Saada, Tarek Edmond

    1994-01-01T23:59:59.000Z

    With the increased use of building energy simulation programs, calibration of simulated data to measured data has been recognized as an important factor in substantiating how well the model fits a real building. Model calibration to measured monthly...

  10. A COMPARISON BETWEEN CODYRUN AND TRNSYS, SIMULATION MODELS FOR THERMAL BUILDINGS BEHAVIOUR.

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A COMPARISON BETWEEN CODYRUN AND TRNSYS, SIMULATION MODELS FOR THERMAL BUILDINGS BEHAVIOUR. F different configurations and were build for different purposes. Simulations have been carried out on two; E.Mail : lucas@iremia.univ-reunion.fr ABSTRACT: Simulation codes of thermal behaviour could

  11. Occupancy Modeling and Prediction for Building Energy Varick L. Erickson, University of California, Merced

    E-Print Network [OSTI]

    Cerpa, Alberto E.

    A Occupancy Modeling and Prediction for Building Energy Management Varick L. Erickson, University.Cerpa, University of California, Merced Heating, cooling and ventilation accounts for 35% energy usage in the United and Prediction for Building Energy Management and Auditing. ACM Trans. Sensor Netw. V, N, Article A (August 2012

  12. Building sector: state of the market and two models on how to reach it

    SciTech Connect (OSTI)

    Holtz, M.J.

    1980-08-30T23:59:59.000Z

    Two subjects related to marketing solar energy in the buildings sector are discussed: first, the market size defined in terms of number of housing units and square feet of commercial floor space and their energy use characteristics and, second, several models SERI has developed and is using to move solar energy/energy efficiency into the mainstream of residential and commercial building construction. (MHR)

  13. Building ventilation : a pressure airflow model computer generation and elements of

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Building ventilation : a pressure airflow model computer generation and elements of validation H when heating a residential building, approximately 30% of the energy loss is due to air renewal[1. Thus in tropical climates, natural ventilation affects essentially the inside comfort by favouring

  14. Object-Oriented Database for Managing Building Modeling Components and Metadata: Preprint

    SciTech Connect (OSTI)

    Long, N.; Fleming, K.; Brackney, L.

    2011-12-01T23:59:59.000Z

    Building simulation enables users to explore and evaluate multiple building designs. When tools for optimization, parametrics, and uncertainty analysis are combined with analysis engines, the sheer number of discrete simulation datasets makes it difficult to keep track of the inputs. The integrity of the input data is critical to designers, engineers, and researchers for code compliance, validation, and building commissioning long after the simulations are finished. This paper discusses an application that stores inputs needed for building energy modeling in a searchable, indexable, flexible, and scalable database to help address the problem of managing simulation input data.

  15. 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.

  16. Real-Time Building Energy Modeling, fault Detection and Diagnostic for a DoD Building

    E-Print Network [OSTI]

    Dong, B.

    2013-01-01T23:59:59.000Z

    distributed Direct Digital Control System (DDC) 4 7114 7113 ESL-KT-13-12-18 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas Dec. 16-18 Technology Approaches 5 Core Layer: BIM-based Database BIM to BEM Real-time Data Acquisition... Technologies Research Center ESL-KT-13-12-18 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas Dec. 16-18 Introduction • Motivation Source: NBI report 2008 Energy Performance of LEED For New Construction Buildings ESL-KT-13...

  17. Experimental Wave Tank Test for Reference Model 3 Floating-Point Absorber Wave Energy Converter Project

    SciTech Connect (OSTI)

    Yu, Y. H.; Lawson, M.; Li, Y.; Previsic, M.; Epler, J.; Lou, J.

    2015-01-01T23:59:59.000Z

    The U.S. Department of Energy established a reference model project to benchmark a set of marine and hydrokinetic technologies including current (tidal, open-ocean, and river) turbines and wave energy converters. The objectives of the project were to first evaluate the status of these technologies and their readiness for commercial applications. Second, to evaluate the potential cost of energy and identify cost-reduction pathways and areas where additional research could be best applied to accelerate technology development to market readiness.

  18. U.S. Department of Energy Reference Model Program RM2: Experimental Results

    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 OurThe Iron Spin Transition in2,EHSS A-Zandofpoint motional%^6 AnnualReference Model

  19. 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

  20. Evaluation of the Effective Moisture Penetration Depth Model for Estimating Moisture Buffering in Buildings

    SciTech Connect (OSTI)

    Woods, J.; Winkler, J.; Christensen, D.

    2013-01-01T23:59:59.000Z

    This study examines the effective moisture penetration depth (EMPD) model, and its suitability for building simulations. The EMPD model is a compromise between the simple, inaccurate effective capacitance approach and the complex, yet accurate, finite-difference approach. Two formulations of the EMPD model were examined, including the model used in the EnergyPlus building simulation software. An error in the EMPD model we uncovered was fixed with the release of EnergyPlus version 7.2, and the EMPD model in earlier versions of EnergyPlus should not be used.

  1. EIA models and capacity building in Viet Nam: an analysis of development aid programs

    SciTech Connect (OSTI)

    Doberstein, Brent

    2004-04-01T23:59:59.000Z

    There has been a decided lack of empirical research examining development aid agencies as 'agents of change' in environmental impact assessment (EIA) systems in developing countries, particularly research examining the model of environmental planning practice promoted by aid agencies as part of capacity building. This paper briefly traces a conceptual framework of EIA, then introduces the concept of 'EIA capacity building'. Using Viet Nam as a case study, the paper then outlines the empirical results of the research, focusing on the extent to which aid agency capacity-building programs promoted a Technical vs. Planning Model of EIA and on the coherence of capacity-building efforts across all aid programs. A discussion follows, where research results are interpreted within the Vietnamese context, and implications of research results are identified for three main groups of actors. The paper concludes by calling for development aid agencies to reconceptualise EIA capacity building as an opportunity to transform developing countries' development planning processes.

  2. Land-Use History and Contemporary Management Inform an Ecological Reference Model for Longleaf Pine Woodland Understory Plant Communities.

    SciTech Connect (OSTI)

    Brudvig, Lars A. [Department of Plant Biology, Michigan State University; Orrock, John L. [Department of Zoology, University of Wisconsin; Damschen, Ellen I. [Department of Zoology, University of Wisconsin; et al, et al

    2014-01-23T23:59:59.000Z

    Ecological restoration is frequently guided by reference conditions describing a successfully restored ecosystem; however, the causes and magnitude of ecosystem degradation vary, making simple knowledge of reference conditions insufficient for prioritizing and guiding restoration. Ecological reference models provide further guidance by quantifying reference conditions, as well as conditions at degraded states that deviate from reference conditions. Many reference models remain qualitative, however, limiting their utility. We quantified and evaluated a reference model for southeastern U.S. longleaf pine woodland understory plant communities. We used regression trees to classify 232 longleaf pine woodland sites at three locations along the Atlantic coastal plain based on relationships between understory plant community composition, soils lol(which broadly structure these communities), and factors associated with understory degradation, including fire frequency, agricultural history, and tree basal area. To understand the spatial generality of this model, we classified all sites together. and for each of three study locations separately. Both the regional and location-specific models produced quantifiable degradation gradients–i.e., progressive deviation from conditions at 38 reference sites, based on understory species composition, diversity and total cover, litter depth, and other attributes. Regionally, fire suppression was the most important degrading factor, followed by agricultural history, but at individual locations, agricultural history or tree basal area was most important. At one location, the influence of a degrading factor depended on soil attributes. We suggest that our regional model can help prioritize longleaf pine woodland restoration across our study region; however, due to substantial landscape-to-landscape variation, local management decisions should take into account additional factors (e.g., soil attributes). Our study demonstrates the utility of quantifying degraded states and provides a series of hypotheses for future experimental restoration work. More broadly, our work provides a framework for developing and evaluating reference models that incorporate multiple, interactive anthropogenic drivers of ecosystem degradation.

  3. Reference Manual for the System Advisor Model's Wind Power Performance Model

    SciTech Connect (OSTI)

    Freeman, J.; Jorgenson, J.; Gilman, P.; Ferguson, T.

    2014-08-01T23:59:59.000Z

    This manual describes the National Renewable Energy Laboratory's System Advisor Model (SAM) wind power performance model. The model calculates the hourly electrical output of a single wind turbine or of a wind farm. The wind power performance model requires information about the wind resource, wind turbine specifications, wind farm layout (if applicable), and costs. In SAM, the performance model can be coupled to one of the financial models to calculate economic metrics for residential, commercial, or utility-scale wind projects. This manual describes the algorithms used by the wind power performance model, which is available in the SAM user interface and as part of the SAM Simulation Core (SSC) library, and is intended to supplement the user documentation that comes with the software.

  4. Modeling Ventilation in Multifamily Buildings John Markley, University of California, Davis -Western Cooling Efficiency Center

    E-Print Network [OSTI]

    California at Davis, University of

    Modeling Ventilation in Multifamily Buildings John Markley, University of California, Davis Efficiency Center Garth Torvestad, Benningfield Group, inc. ABSTRACT Proper ventilation is an essential that require special consideration in order to avoid excessive ventilation and energy waste. Two issues

  5. Webcast of the Renewable Energy Competency Model: An Aid to Build a Renewable Energy Skilled Workforce

    Broader source: Energy.gov [DOE]

    The Department of Energy held a webcast titled "Renewable Energy Competency Model: An Aid to Build a Renewable Energy Skilled Workforce" on Monday, October 22, 2012. The Renewable Energy Competency...

  6. A FAST MODEL-BUILDING METHOD FOR TIME SERIES USING GENETIC PROGRAMMING

    E-Print Network [OSTI]

    Fernandez, Thomas

    A FAST MODEL-BUILDING METHOD FOR TIME SERIES USING GENETIC PROGRAMMING I. Yoshihara Faculty) financial problems e.g. stock price indices and gold prices. The experiments lead us to the conclusion

  7. Using Fourier Series to Model Hourly Energy Use in Commercial Buildings

    E-Print Network [OSTI]

    Dhar, A.; Reddy, T. A.; Claridge, D. E.

    1993-01-01T23:59:59.000Z

    Fourier series analysis is eminently suitable for modeling strongly periodic data. Weather independent energy use such as lighting and equipment load in commercial buildings is strongly periodic and is thus appropriate for Fourier series treatment...

  8. Building robust chemical reaction mechanisms : next generation of automatic model construction software

    E-Print Network [OSTI]

    Song, Jing, 1972-

    2004-01-01T23:59:59.000Z

    Building proper reaction mechanisms is crucial to model the system dynamic properties for many industrial processes with complex chemical reaction phenomena. Because of the complexity of a reaction mechanism, computer-aided ...

  9. Modelling Urban scale Retrofit, Pathways to 2050 Low Carbon Residential Building Stock 

    E-Print Network [OSTI]

    Lannon, Simon; Georgakaki, Aliki; Macdonald, Stuart

    A bottom up engineering modelling approach has been used to investigate the pathways to 2050 low carbon residential building stock. The impact of housing retrofit, renewable technologies, occupant behaviour, and grid decarbonisation is measured at a...

  10. Fire modeling for Building 221-T - T Plant Canyon Deck and Railroad Tunnel

    SciTech Connect (OSTI)

    Oar, D.L.

    1994-09-29T23:59:59.000Z

    This report was prepared by Hughes Associates, Inc. to document the results of fire models for building 221-T Canyon Deck and Railroad Tunnel. Backup data is contained in document No. WHC-SD-CP-ANAL-010, Rev. 0.

  11. Improvements to building energy usage modeling during early design stages and retrofits

    E-Print Network [OSTI]

    Mandelbaum, Andrew (Andrew Joseph)

    2014-01-01T23:59:59.000Z

    A variety of improvements to the MIT Design Advisor, a whole-building energy usage modeling tool intended for use during early design stages, are investigated. These include changes to the thermal mass temperature distribution ...

  12. Generic Models in the Design of Solar Commercial Buildings , N. ISAACS1

    E-Print Network [OSTI]

    Amor, Robert

    Generic Models in the Design of Solar Commercial Buildings M. DONN1 , N. ISAACS1 School). While it is relatively simple to encapsulate the mathematical expertise of a services engineer

  13. Building Dynamic Models of Service Compositions with Simulation of Provision Resources

    E-Print Network [OSTI]

    Dustdar, Schahram

    Building Dynamic Models of Service Compositions with Simulation of Provision Resources Dragan compositions depends both on the composition structure, and on planning and management of compu- tational resources necessary for provision. Resource constraints on the service provider side have impact

  14. Duct Thermal Performance Models for Large Commercial Buildings

    E-Print Network [OSTI]

    , and Don Shirey of the Florida Solar Energy Center and Pete Jacobs of the Architectural Energy Corporation buildings, and the author is grateful for their input. Advice from Michaël Kummert of the Solar Energy and EnergyPlus. This project evolved from the ideas and work of Mark Modera (LBNL), who was the original

  15. Modeling Building Thermal Response to HVAC Zoning Virginia Smith

    E-Print Network [OSTI]

    Whitehouse, Kamin

    . Much of this wasted energy is used to heat or cool unoccupied spaces during long periods when people HVAC systems account for 38% of building energy usage. Studies have indicated at least 5-15% waste due to unoccu- pied spaces being conditioned. Our goal is to minimize this waste by retrofitting HVAC systems

  16. Solid Waste Projection Model: Database (Version 1.4). Technical reference manual

    SciTech Connect (OSTI)

    Blackburn, C.; Cillan, T.

    1993-09-01T23:59:59.000Z

    The Solid Waste Projection Model (SWPM) system is an analytical tool developed by Pacific Northwest Laboratory (PNL) for Westinghouse Hanford Company (WHC). The SWPM system provides a modeling and analysis environment that supports decisions in the process of evaluating various solid waste management alternatives. This document, one of a series describing the SWPM system, contains detailed information regarding the software and data structures utilized in developing the SWPM Version 1.4 Database. This document is intended for use by experienced database specialists and supports database maintenance, utility development, and database enhancement. Those interested in using the SWPM database should refer to the SWPM Database User`s Guide. This document is available from the PNL Task M Project Manager (D. L. Stiles, 509-372-4358), the PNL Task L Project Manager (L. L. Armacost, 509-372-4304), the WHC Restoration Projects Section Manager (509-372-1443), or the WHC Waste Characterization Manager (509-372-1193).

  17. Towards a Very Low Energy Building Stock: Modeling the U.S. Commercial Building Sector to Support Policy and Innovation Planning

    SciTech Connect (OSTI)

    Coffey, Brian; Borgeson, Sam; Selkowitz, Stephen; Apte, Josh; Mathew, Paul; Haves, Philip

    2009-07-01T23:59:59.000Z

    This paper describes the origin, structure and continuing development of a model of time varying energy consumption in the US commercial building stock. The model is based on a flexible structure that disaggregates the stock into various categories (e.g. by building type, climate, vintage and life-cycle stage) and assigns attributes to each of these (e.g. floor area and energy use intensity by fuel type and end use), based on historical data and user-defined scenarios for future projections. In addition to supporting the interactive exploration of building stock dynamics, the model has been used to study the likely outcomes of specific policy and innovation scenarios targeting very low future energy consumption in the building stock. Model use has highlighted the scale of the challenge of meeting targets stated by various government and professional bodies, and the importance of considering both new construction and existing buildings.

  18. Handling model uncertainty in model predictive control for energy efficient buildings

    E-Print Network [OSTI]

    Maasoumy, Mehdi; Razmara, M; Shahbakhti, M; Sangiovanni-Vincentelli, Alberto

    2014-01-01T23:59:59.000Z

    trol for the operation of building cooling systems, IEEEK. Wirth, Energy ef?cient building climate control usingSagerschnig, E. Z ? á?ceková, Building [8] J. Prí vara, S.

  19. 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...

  20. Influence Of Three Dynamic Predictive Clothing Insulation Models On Building Energy Use, HVAC Sizing And Thermal Comfort

    E-Print Network [OSTI]

    Schiavon, Stefano; Lee, Kwang Ho

    2013-01-01T23:59:59.000Z

    Predictive Clothing Insulation Models based on Outdoor AirPREDICTIVE CLOTHING INSULATION MODELS ON BUILDING ENERGYthat the clothing insulation is equal to a constant value of

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

    E-Print Network [OSTI]

    , product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by its trade name, trademark, Berkeley, CA, 94720 ­ U.S.A. 2 Digital Alchemy Pro Seattle, WA, 98119 ­ USA ABSTRACT Many inadequacies

  2. 2.5D Dual Contouring: A Robust Approach to Creating Building Models from Aerial LiDAR

    E-Print Network [OSTI]

    Southern California, University of

    thank Tao Ju, Suya You, and anonymous reviewers for their valuable comments. #12;2 Qian-Yi Zhou, Ulrich Neumann Fig. 2. Manually created models [3] show the 2.5D nature of building structures. The aerial Li few points on building walls connecting roof boundaries. In addition, manually created building models

  3. HyperKhaler Metrics Building and Integrable Models

    E-Print Network [OSTI]

    E. H. Saidi; M. B. Sedra

    2005-12-18T23:59:59.000Z

    Methods developed for the analysis of integrable systems are used to study the problem of hyperK\\"ahler metrics building as formulated in D=2 N=4 supersymmetric harmonic superspace. We show, in particular, that the constraint equation $\\beta\\partial^{++2}\\omega -\\xi^{++2}\\exp 2\\beta\\omega =0$ and its Toda like generalizations are integrable. Explicit solutions together with the conserved currents generating the symmetry responsible of the integrability of these equations are given. Other features are also discussed

  4. AHAM: A Reference Model to Support Adaptive Hypermedia Hongjing Wu, Geert-Jan Houben, Paul De Bra

    E-Print Network [OSTI]

    De Bra, Paul

    AHAM: A Reference Model to Support Adaptive Hypermedia Authoring Hongjing Wu, Geert-Jan Houben for adaptive hypermedia applications, called AHAM, which encompasses most adaptive features supported of applications. Key aspects in AHAM are: · The adaptation is based on a domain model, a user model and a teaching

  5. Using models of nucleotide evolution to build phylogenetic trees David H. Bosa,*, David Posadab

    E-Print Network [OSTI]

    Posada, David

    Using models of nucleotide evolution to build phylogenetic trees David H. Bosa,*, David Posadab. Some phylogenetic estimators use an explicit model of nucleotide evolution to estimate evolutionary statistical methods of selecting a particular model of nucleotide evolution, and provide an empirical example

  6. Real-Time Forcast Model Analysis of Daily Average Building Load for a Thermal Storage System Control

    E-Print Network [OSTI]

    Song, L.; Joo, I. S.; Guwana, S.

    of a building and three real-time building load forecasting models were developed. They are first-order autogressive model, random walk model and linear regression model. Finally, the comparison of results show the random walk model provides the best...

  7. EIA model documentation: World oil refining logistics demand model,``WORLD`` reference manual. Version 1.1

    SciTech Connect (OSTI)

    Not Available

    1994-04-11T23:59:59.000Z

    This manual is intended primarily for use as a reference by analysts applying the WORLD model to regional studies. It also provides overview information on WORLD features of potential interest to managers and analysts. Broadly, the manual covers WORLD model features in progressively increasing detail. Section 2 provides an overview of the WORLD model, how it has evolved, what its design goals are, what it produces, and where it can be taken with further enhancements. Section 3 reviews model management covering data sources, managing over-optimization, calibration and seasonality, check-points for case construction and common errors. Section 4 describes in detail the WORLD system, including: data and program systems in overview; details of mainframe and PC program control and files;model generation, size management, debugging and error analysis; use with different optimizers; and reporting and results analysis. Section 5 provides a detailed description of every WORLD model data table, covering model controls, case and technology data. Section 6 goes into the details of WORLD matrix structure. It provides an overview, describes how regional definitions are controlled and defines the naming conventions for-all model rows, columns, right-hand sides, and bounds. It also includes a discussion of the formulation of product blending and specifications in WORLD. Several Appendices supplement the main sections.

  8. Data Warehouse Model to Support Optimized Operation and Energy Savings in Buildings

    E-Print Network [OSTI]

    Stack, P.; Cahill, B.; Manzoor, F.; Menzel, K.

    2011-01-01T23:59:59.000Z

    University College Cork (Ireland) Department of Civil and Environmental Engineering Data Warehouse Model to support Optimized Operation and Energy Savings in Buildings Paul Stack, Brian Cahill, Farhan Manzoor, Prof. Karsten Menzel 20... October 2011 page 1ICEBO 2011 Session 10 - Brian Cahill University College Cork (Ireland) Department of Civil and Environmental Engineering ICT for Optimised Building Operation (ITOBO) 20 October 2011 ICEBO 2011 Session 10 - Brian Cahill page 2...

  9. Development of a High-Performance Office Building Simulation Model for a Hot and Humid Climate

    E-Print Network [OSTI]

    Cho, S.; Haberl, J.

    -performance measures applicable to office buildings in hot and humid climates and to develop a high-performance (maximum energy-efficient) building model that only uses technologies readily available in the contemporary market. The high-performance model showed... requirements. This base-case model consumed a total of 7,721 GJ/yr. As shown in Figure 22, the implementation of occupancy sensors impacted the energy consumption the most, saving 11.2% of the total energy consumption. By this measure, indoor lights were...

  10. RESRAD-BUILD: A computer model for analyzing the radiological doses resulting from the remediation and occupancy of buildings contaminated with radioactive material

    SciTech Connect (OSTI)

    Yu, C.; LePoire, D.J.; Jones, L.G. [and others

    1994-11-01T23:59:59.000Z

    The RESRAD-BUILD computer code is a pathway analysis model designed to evaluate the potential radiological dose incurred by an individual who works or lives in a building contaminated with radioactive material. The transport of radioactive material inside the building from one compartment to another is calculated with an indoor air quality model. The air quality model considers the transport of radioactive dust particulates and radon progeny due to air exchange, deposition and resuspension, and radioactive decay and ingrowth. A single run of the RESRAD-BUILD code can model a building with up to: three compartments, 10 distinct source geometries, and 10 receptor locations. A shielding material can be specified between each source-receptor pair for external gamma dose calculations. Six exposure pathways are considered in the RESRAD-BUILD code: (1) external exposure directly from the source; (2) external exposure to materials deposited on the floor; (3) external exposure due to air submersion; (4) inhalation of airborne radioactive particulates; (5) inhalation of aerosol indoor radon progeny; and (6) inadvertent ingestion of radioactive material, either directly from the sources or from materials deposited on the surfaces of the building compartments. 4 refs., 23 figs., 4 tabs.

  11. 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

  12. Critical Simulation Based Evaluation of Thermally Activated Building Systems (TABS) Design Models

    E-Print Network [OSTI]

    Basu, Chandrayee

    2012-01-01T23:59:59.000Z

    building systems for low energy buildings: System analysismeasurement of six low energy buildings in different partspointed out that low energy buildings may under- perform

  13. Integrated canopy, building energy and radiosity model for 3D urban design

    E-Print Network [OSTI]

    Burdet, Etienne; Morand, Denis; Diab, Youssef

    2014-01-01T23:59:59.000Z

    We present an integrated, three dimensional, model of urban canopy, building energy and radiosity, for early stage urban designs and test it on four urban morphologies. All sub-models share a common descriptions of the urban morphology, similar to 3D urban design master plans and have simple parameters. The canopy model is a multilayer model, with a new discrete layer approach that does not rely on simplified geometry such as canyon or regular arrays. The building energy model is a simplified RC equivalent model, with no hypotheses on internal zoning or wall composition. We use the CitySim software for the radiosity model. We study the effects of convexity, the number of buildings and building height, at constant density and thermal characteristics. Our results suggest that careful three dimensional morphology design can reduce heat demand by a factor of 2, especially by improving insolation of lower levels. The most energy efficient morphology in our simulations has both the highest surface/volume ratio and ...

  14. Development of a Model Specification for Performance MonitoringSystems for Commercial Buildings

    SciTech Connect (OSTI)

    Haves, Philip; Hitchcock, Robert J.; Gillespie, Kenneth L.; Brook, Martha; Shockman, Christine; Deringer, Joseph J.; Kinney,Kristopher L.

    2006-08-01T23:59:59.000Z

    The paper describes the development of a model specification for performance monitoring systems for commercial buildings. The specification focuses on four key aspects of performance monitoring: (1) performance metrics; (2) measurement system requirements; (3) data acquisition and archiving; and (4) data visualization and reporting. The aim is to assist building owners in specifying the extensions to their control systems that are required to provide building operators with the information needed to operate their buildings more efficiently and to provide automated diagnostic tools with the information required to detect and diagnose faults and problems that degrade energy performance. The paper reviews the potential benefits of performance monitoring, describes the specification guide and discusses briefly the ways in which it could be implemented. A prototype advanced visualization tool is also described, along with its application to performance monitoring. The paper concludes with a description of the ways in which the specification and the visualization tool are being disseminated and deployed.

  15. Model Predictive Control for the Operation of Building Cooling Systems

    E-Print Network [OSTI]

    Ma, Yudong

    2010-01-01T23:59:59.000Z

    of the cooling towers while consuming less energy. Duringtowers, the thermal storage tank and the electricity energytowers, the thermal storage tank, the campus model and the electricity energy

  16. A reduced chemical kinetic model for IC engine combustion simulations with primary reference fuels

    SciTech Connect (OSTI)

    Ra, Youngchul; Reitz, Rolf D. [Engine Research Center, University of Wisconsin-Madison, 1500 Engineering Drive, ERB 1016B, Madison, WI 53706 (United States)

    2008-12-15T23:59:59.000Z

    A reduced chemical kinetic mechanism for the oxidation of primary reference fuel (PRF) has been developed and applied to model internal combustion engines. Starting from an existing reduced reaction mechanism for n-heptane oxidation, a new reduced n-heptane mechanism was generated by including an additional five species and their relevant reactions, by updating the reaction rate constants of several reactions pertaining to oxidation of carbon monoxide and hydrogen, and by optimizing reaction rate constants of selected reactions. Using a similar approach, a reduced mechanism for iso-octane oxidation was built and combined with the n-heptane mechanism to form a PRF mechanism. The final version of the PRF mechanism consists of 41 species and 130 reactions. Validation of the present PRF mechanism was performed with measurements from shock tube tests, and HCCI and direct injection engine experiments available in the literature. The results show that the present PRF mechanism gives reliable performance for combustion predictions, as well as computational efficiency improvements for multidimensional CFD simulations. (author)

  17. Modelling Residential-Scale Combustion-Based Cogeneration in Building Simulation

    SciTech Connect (OSTI)

    Ferguson, A.; Kelly, N.; Weber, A.; Griffith, B.

    2009-03-01T23:59:59.000Z

    This article describes the development, calibration and validation of a combustion-cogeneration model for whole-building simulation. As part of IEA Annex 42, we proposed a parametric model for studying residentialscale cogeneration systems based on both Stirling and internal combustion engines. The model can predict the fuel use, thermal output and electrical generation of a cogeneration device in response to changing loads, coolant temperatures and flow rates, and control strategies. The model is now implemented in the publicly-available EnergyPlus, ESP-r and TRNSYS building simulation programs. We vetted all three implementations using a comprehensive comparative testing suite, and validated the model's theoretical basis through comparison to measured data. The results demonstrate acceptable-to-excellent agreement, and suggest the model can be used with confidence when studying the energy performance of cogeneration equipment in non-condensing operation.

  18. Hawaii demand-side management resource assessment. Final report, Reference Volume 3 -- Residential and commercial sector DSM analyses: Detailed results from the DBEDT DSM assessment model; Part 1, Technical potential

    SciTech Connect (OSTI)

    NONE

    1995-04-01T23:59:59.000Z

    The Hawaii Demand-Side Management Resource Assessment was the fourth of seven projects in the Hawaii Energy Strategy (HES) program. HES was designed by the Department of Business, Economic Development, and Tourism (DBEDT) to produce an integrated energy strategy for the State of Hawaii. The purpose of Project 4 was to develop a comprehensive assessment of Hawaii`s demand-side management (DSM) resources. To meet this objective, the project was divided into two phases. The first phase included development of a DSM technology database and the identification of Hawaii commercial building characteristics through on-site audits. These Phase 1 products were then used in Phase 2 to identify expected energy impacts from DSM measures in typical residential and commercial buildings in Hawaii. The building energy simulation model DOE-2.1E was utilized to identify the DSM energy impacts. More detailed information on the typical buildings and the DOE-2.1E modeling effort is available in Reference Volume 1, ``Building Prototype Analysis``. In addition to the DOE-2.1E analysis, estimates of residential and commercial sector gas and electric DSM potential for the four counties of Honolulu, Hawaii, Maui, and Kauai through 2014 were forecasted by the new DBEDT DSM Assessment Model. Results from DBEDTs energy forecasting model, ENERGY 2020, were linked with results from DOE-2.1E building energy simulation runs and estimates of DSM measure impacts, costs, lifetime, and anticipated market penetration rates in the DBEDT DSM Model. Through its algorithms, estimates of DSM potential for each forecast year were developed. Using the load shape information from the DOE-2.1E simulation runs, estimates of electric peak demand impacts were developed. Numerous tables and figures illustrating the technical potential for demand-side management are included.

  19. Building Information Modeling (BIM)-Based Daylighting Simulation and Analysis 

    E-Print Network [OSTI]

    Kota, S.; Haberl, J.S.; Clayton, M.; Yan, W.

    2014-01-01T23:59:59.000Z

    will be converted into daylighting models to run on the daylighting simulation engines. Once the architect defines the architectural model in CAD, a simulation expert creates the simulation input file to perform daylighting analysis. Each tool has its own way... the Radiance input file is created, different Radiance utilities are called using MS Windows BATCH scripting for doing a daylighting analysis [15]. In addition to AutoCAD, Radiance also has many utility programs that help in converting different geometry...

  20. Modeling of Heat Transfer in Rooms in the Modelica Buildings Library

    E-Print Network [OSTI]

    Wetter, Michael

    2013-01-01T23:59:59.000Z

    for building heating, ventilation and air-conditioningfor Building Heating, Ventilation and Air- Conditioning

  1. Application of the Software as a Service Model to the Control of Complex Building Systems

    SciTech Connect (OSTI)

    Stadler, Michael; Donadee, Jonathan; Marnay, Chris; Mendes, Goncalo; Appen, Jan von; Megel, Oliver; Bhattacharya, Prajesh; DeForest, Nicholas; Lai, Judy

    2011-03-17T23:59:59.000Z

    In an effort to create broad access to its optimization software, Lawrence Berkeley National Laboratory (LBNL), in collaboration with the University of California at Davis (UC Davis) and OSISoft, has recently developed a Software as a Service (SaaS) Model for reducing energy costs, cutting peak power demand, and reducing carbon emissions for multipurpose buildings. UC Davis currently collects and stores energy usage data from buildings on its campus. Researchers at LBNL sought to demonstrate that a SaaS application architecture could be built on top of this data system to optimize the scheduling of electricity and heat delivery in the building. The SaaS interface, known as WebOpt, consists of two major parts: a) the investment& planning and b) the operations module, which builds on the investment& planning module. The operational scheduling and load shifting optimization models within the operations module use data from load prediction and electrical grid emissions models to create an optimal operating schedule for the next week, reducing peak electricity consumption while maintaining quality of energy services. LBNL's application also provides facility managers with suggested energy infrastructure investments for achieving their energy cost and emission goals based on historical data collected with OSISoft's system. This paper describes these models as well as the SaaS architecture employed by LBNL researchers to provide asset scheduling services to UC Davis. The peak demand, emissions, and cost implications of the asset operation schedule and investments suggested by this optimization model are analysed.

  2. Application of the Software as a Service Model to the Control of Complex Building Systems

    SciTech Connect (OSTI)

    Stadler, Michael; Donadee, Jon; Marnay, Chris; Lai, Judy; Mendes, Goncalo; Appen, Jan von; M& #233; gel, Oliver; Bhattacharya, Prajesh; DeForest, Nicholas; Lai, Judy

    2011-03-18T23:59:59.000Z

    In an effort to create broad access to its optimization software, Lawrence Berkeley National Laboratory (LBNL), in collaboration with the University of California at Davis (UC Davis) and OSISoft, has recently developed a Software as a Service (SaaS) Model for reducing energy costs, cutting peak power demand, and reducing carbon emissions for multipurpose buildings. UC Davis currently collects and stores energy usage data from buildings on its campus. Researchers at LBNL sought to demonstrate that a SaaS application architecture could be built on top of this data system to optimize the scheduling of electricity and heat delivery in the building. The SaaS interface, known as WebOpt, consists of two major parts: a) the investment& planning and b) the operations module, which builds on the investment& planning module. The operational scheduling and load shifting optimization models within the operations module use data from load prediction and electrical grid emissions models to create an optimal operating schedule for the next week, reducing peak electricity consumption while maintaining quality of energy services. LBNL's application also provides facility managers with suggested energy infrastructure investments for achieving their energy cost and emission goals based on historical data collected with OSISoft's system. This paper describes these models as well as the SaaS architecture employed by LBNL researchers to provide asset scheduling services to UC Davis. The peak demand, emissions, and cost implications of the asset operation schedule and investments suggested by this optimization model are analyzed.

  3. Improving macromolecular atomic models at moderate resolution by automated iterative model building, statistical density modification and refinement

    SciTech Connect (OSTI)

    Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Mail Stop M888, Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)

    2003-07-01T23:59:59.000Z

    A procedure for iterative model-building, statistical density modification and refinement at moderate resolution (up to about 2.8 Ĺ) is described. An iterative process for improving the completeness and quality of atomic models automatically built at moderate resolution (up to about 2.8 Ĺ) is described. The process consists of cycles of model building interspersed with cycles of refinement and combining phase information from the model with experimental phase information (if any) using statistical density modification. The process can lead to substantial improvements in both the accuracy and completeness of the model compared with a single cycle of model building. For eight test cases solved by MAD or SAD at resolutions ranging from 2.0 to 2.8 Ĺ, the fraction of models built and assigned to sequence was 46–91% (mean of 65%) after the first cycle of building and refinement, and 78-95% (mean of 87%) after 20 cycles. In an additional test case, an incorrect model of gene 5 protein (PDB code 2gn5; r.m.s.d. of main-chain atoms from the more recent refined structure 1vqb at 1.56 Ĺ) was rebuilt using only structure-factor amplitude information at varying resolutions from 2.0 to 3.0 Ĺ. Rebuilding was effective at resolutions up to about 2.5 Ĺ. The resulting models had 60-80% of the residues built and an r.m.s.d. of main-chain atoms from the refined structure of 0.20 to 0.62 Ĺ. The algorithm is useful for building preliminary models of macromolecules suitable for an experienced crystallographer to extend, correct and fully refine.

  4. Building ventilation: A pressure airflow model computer generation and elements of validation

    E-Print Network [OSTI]

    Boyer, H; Adelard, L; Mara, T A

    2012-01-01T23:59:59.000Z

    The calculation of airflows is of great importance for detailed building thermal simulation computer codes, these airflows most frequently constituting an important thermal coupling between the building and the outside on one hand, and the different thermal zones on the other. The driving effects of air movement, which are the wind and the thermal buoyancy, are briefly outlined and we look closely at their coupling in the case of buildings, by exploring the difficulties associated with large openings. Some numerical problems tied to the resolving of the non-linear system established are also covered. Part of a detailled simulation software (CODYRUN), the numerical implementation of this airflow model is explained, insisting on data organization and processing allowing the calculation of the airflows. Comparisons are then made between the model results and in one hand analytical expressions and in another and experimental measurements in case of a collective dwelling.

  5. A Caveat on Building Nonlocal Models of Cosmology

    E-Print Network [OSTI]

    N. C. Tsamis; R. P. Woodard

    2014-05-18T23:59:59.000Z

    Nonlocal models of cosmology might derive from graviton loop corrections to the effective field equations from the epoch of primordial inflation. Although the Schwinger-Keldysh formalism would automatically produce causal and conserved effective field equations, the models so far proposed have been purely phenomenological. Two techniques have been employed to generate causal and conserved field equations: either varying an invariant nonlocal effective action and then enforcing causality by the ad hoc replacement of any advanced Green's function with its retarded counterpart, or else introducing causal nonlocality into a general ansatz for the field equations and then enforcing conservation. We point out here that the two techniques access very different classes of models, and that neither one of them may represent what would actually arise from fundamental theory.

  6. Property:Buildings/ModelType | 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,Pillar GroupInformationInformationYearConstruction1ModelName JumpModelType

  7. Property:Buildings/ModelYear | 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,Pillar GroupInformationInformationYearConstruction1ModelNameModelYear Jump

  8. State-based Modeling of Buildings and Facilities

    E-Print Network [OSTI]

    Fisch, M.N.; Pinkernell, C.; Look, M.; Plesser, S.; Rumpe, B.

    2011-01-01T23:59:59.000Z

    to an intelligent monitoring. DIN EN ISO 16484 proposes a method to describe functional requirements in an easy to understand way. We extended its use of state machines to our proposed concept of state based modeling. This proved to be a wholesome approach to easily...

  9. AHAM: A Dexterbased Reference Model for Adaptive Paul De Bra \\Lambda , GeertJan Houben y and Hongjing Wu

    E-Print Network [OSTI]

    De Bra, Paul

    AHAM: A Dexter­based Reference Model for Adaptive Hypermedia Paul De Bra \\Lambda , Geert­Jan Houben, called AHAM, which encompasses most features supported by adaptive systems that exist today in order to be able to explain AHAM rather than formally specify it. AHAM augments Dex­ ter with features

  10. Modeling of Emergency Fire Evacuation Routes of UMass Buildings Dana Evernden

    E-Print Network [OSTI]

    Mountziaris, T. J.

    : Professor James M. Smith, Mechanical & Industrial Engineering This project is concerned with modeling review of the output and input files. Lastly, the research work is transferred to a web site displaying and the overall design of the building. Industrial Engineering has yet to be applied to evacuation routes

  11. Segmentation of building models from dense 3D point-clouds Joachim Bauer

    E-Print Network [OSTI]

    Schindler, Konrad

    , Institute for Computer Graphics and Vision, Graz University of Technology {bauer,karner,klausSegmentation of building models from dense 3D point-clouds Joachim Bauer , Konrad Karner , Konrad Schindler , Andreas Klaus , Christopher Zach VRVis Research Center for Virtual Reality and Visualization

  12. PHOTOREALISTIC BUILDING MODELING AND VISUALIZATION IN 3-D GEOSPATIAL INFORMATION SYSTEM

    E-Print Network [OSTI]

    Shan, Jie

    PHOTOREALISTIC BUILDING MODELING AND VISUALIZATION IN 3-D GEOSPATIAL INFORMATION SYSTEM Yonghak: Despite geospatial information systems are widely used in many different fields as a powerful tool in geospatial information system (GIS). Such 3-D photorealistic visualization is able to provide geospatial

  13. Extending ER Models to Capture Database Transformations to Build Data Sets for Data Mining

    E-Print Network [OSTI]

    Ordonez, Carlos

    transformation tables in abstract form can be useful not only for optimizing the generation of new data sets stages of data transformation, mathematical functions and the powerful SQL CASE statement, which doesExtending ER Models to Capture Database Transformations to Build Data Sets for Data Mining Carlos

  14. Automated main-chain model building by template matching and iterative fragment extension

    SciTech Connect (OSTI)

    Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Mail Stop M888, Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)

    2003-01-01T23:59:59.000Z

    A method for automated macromolecular main-chain model building is described. An algorithm for the automated macromolecular model building of polypeptide backbones is described. The procedure is hierarchical. In the initial stages, many overlapping polypeptide fragments are built. In subsequent stages, the fragments are extended and then connected. Identification of the locations of helical and ?-strand regions is carried out by FFT-based template matching. Fragment libraries of helices and ?-strands from refined protein structures are then positioned at the potential locations of helices and strands and the longest segments that fit the electron-density map are chosen. The helices and strands are then extended using fragment libraries consisting of sequences three amino acids long derived from refined protein structures. The resulting segments of polypeptide chain are then connected by choosing those which overlap at two or more C{sup ?} positions. The fully automated procedure has been implemented in RESOLVE and is capable of model building at resolutions as low as 3.5 Ĺ. The algorithm is useful for building a preliminary main-chain model that can serve as a basis for refinement and side-chain addition.

  15. A Data Mining Framework for Building Intrusion Detection Models Salvatore J. Stolfo

    E-Print Network [OSTI]

    Yang, Junfeng

    A Data Mining Framework for Building Intrusion Detection Models Wenke Lee Salvatore J. Stolfo Kui W of expert knowledge, changes to IDSs are expensive and slow. In this paper, we describe a data mining, and apply data mining programs to learn rules that accurately capture the behavior of intrusions and normal

  16. Building Dynamic Models of Service Compositions With Simulation of Provision Resources

    E-Print Network [OSTI]

    Politécnica de Madrid, Universidad

    Building Dynamic Models of Service Compositions With Simulation of Provision Resources Dragan of service compositions depends both on the composition structure, and on planning and management of compu- tational resources necessary for provision. Resource constraints on the service provider side have impact

  17. QUANTITATIVE ASSESSMENT OF THE IMPACT OF 3D MODELLING OF BUILDING STRUCTURES ON

    E-Print Network [OSTI]

    Sacks, Rafael

    to the firm's overall activity, because the greatest increase in productivity is achieved in this area; that construction companies can leverage the benefits in error reduction and logistics improvements that result PRODUCTIVITY Rafael Sacks1 and Ronen Barak2 ABSTRACT Parametric three-dimensional modelling of buildings

  18. Property:Buildings/ModelClimateZone | 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,Pillar GroupInformationInformationYearConstruction1 JumpModelClimateZone

  19. Property:Buildings/ModelName | 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,Pillar GroupInformationInformationYearConstruction1ModelName Jump to:

  20. Property:Buildings/ModelTargetType | 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,Pillar GroupInformationInformationYearConstruction1ModelName Jump

  1. Property:Buildings/ModelXmlFile | 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,Pillar GroupInformationInformationYearConstruction1ModelName

  2. 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...

  3. DEVELOPMENT OF A PILED-FOUNDATION MODEL The models discussed in Chapter 3 illustrated the importance of modelling a building's foundation

    E-Print Network [OSTI]

    Talbot, James P.

    85 Chapter 4 DEVELOPMENT OF A PILED-FOUNDATION MODEL The models discussed in Chapter 3 illustrated-isolation. It was concluded that a generic base- isolated building model requires a comprehensive model of a piled foundation of the pile head due to longitudinal and transverse motion of the pile; · interaction between neighbouring

  4. Automated side-chain model building and sequence assignment by template matching

    SciTech Connect (OSTI)

    Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Mail Stop M888, Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)

    2003-01-01T23:59:59.000Z

    A method for automated macromolecular side-chain model building and for aligning the sequence to the map is described. An algorithm is described for automated building of side chains in an electron-density map once a main-chain model is built and for alignment of the protein sequence to the map. The procedure is based on a comparison of electron density at the expected side-chain positions with electron-density templates. The templates are constructed from average amino-acid side-chain densities in 574 refined protein structures. For each contiguous segment of main chain, a matrix with entries corresponding to an estimate of the probability that each of the 20 amino acids is located at each position of the main-chain model is obtained. The probability that this segment corresponds to each possible alignment with the sequence of the protein is estimated using a Bayesian approach and high-confidence matches are kept. Once side-chain identities are determined, the most probable rotamer for each side chain is built into the model. The automated procedure has been implemented in the RESOLVE software. Combined with automated main-chain model building, the procedure produces a preliminary model suitable for refinement and extension by an experienced crystallographer.

  5. 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

  6. Critical Simulation Based Evaluation of Thermally Activated Building Systems (TABS) Design Models

    E-Print Network [OSTI]

    Basu, Chandrayee

    2012-01-01T23:59:59.000Z

    supply temperature Zero energy buildings vi MS Thesis, Dept.marketable zero-energy commercial buildings (ZEBs) by 2025securing net zero energy commercial buildings is development

  7. Validation and Application of the Room Model of the Modelica Buildings Library

    E-Print Network [OSTI]

    Nouidui, Thierry Stephane

    2014-01-01T23:59:59.000Z

    Digital Interfaces of the Building Controls Virtual Test5] M. Wetter, "Co-simulation of building energy and controlsystems with the Building Controls Virtual Test Bed,"

  8. Better Buildings Neighborhood Program

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy Better Buildings Neighborhood Program: Business Models Guide, October 27, 2011.

  9. A Modelica-based Model Library for Building Energy and Control Systems

    SciTech Connect (OSTI)

    Wetter, Michael

    2009-04-07T23:59:59.000Z

    This paper describes an open-source library with component models for building energy and control systems that is based on Modelica, an equation-based objectoriented language that is well positioned to become the standard for modeling of dynamic systems in various industrial sectors. The library is currently developed to support computational science and engineering for innovative building energy and control systems. Early applications will include controls design and analysis, rapid prototyping to support innovation of new building systems and the use of models during operation for controls, fault detection and diagnostics. This paper discusses the motivation for selecting an equation-based object-oriented language. It presents the architecture of the library and explains how base models can be used to rapidly implement new models. To demonstrate the capability of analyzing novel energy and control systems, the paper closes with an example where we compare the dynamic performance of a conventional hydronic heating system with thermostatic radiator valves to an innovative heating system. In the new system, instead of a centralized circulation pump, each of the 18 radiators has a pump whose speed is controlled using a room temperature feedback loop, and the temperature of the boiler is controlled based on the speed of the radiator pump. All flows are computed by solving for the pressure distribution in the piping network, and the controls include continuous and discrete time controls.

  10. Model building with the non-supersymmetric heterotic SO(16)xSO(16) string

    E-Print Network [OSTI]

    Stefan Groot Nibbelink

    2015-02-12T23:59:59.000Z

    In this talk we review recent investigations of the non-supersymmetric heterotic SO(16)xSO(16) string on orbifolds and smooth Calabi-Yaus. Using such supersymmetry preserving backgrounds allows one to re-employ commonly known model building techniques. We will argue that tachyons do not appear on smooth Calabi-Yaus to leading order in alpha' and g_s. Twisted tachyons may arise on singular orbifolds, where some of these approximations break down. However, they get lifted in full blow-up. Finally, we show that model searches is viable by identifying over 12,000 of SM-like models on various orbifold geometries.

  11. GetBonNie for building, analyzing and sharing rule-based models

    SciTech Connect (OSTI)

    Hu, Bin [Los Alamos National Laboratory

    2008-01-01T23:59:59.000Z

    GetBonNie is a suite of web-based services for building, analyzing, and sharing rule-based models specified according to the conventions of the BioNetGen language (BNGL). Services include (1) an applet for drawing, editing, and viewing graphs of BNGL; (2) a network-generation engine for translating a set of rules into a chemical reaction network; (3) simulation engines that implement generate-first, on-the-fly, and network-free methods for simulating rule-based models; and (4) a database for sharing models, parameter values, annotations, simulation tasks and results.

  12. Model building with the non-supersymmetric heterotic SO(16)xSO(16) string

    E-Print Network [OSTI]

    Nibbelink, Stefan Groot

    2015-01-01T23:59:59.000Z

    In this talk we review recent investigations of the non-supersymmetric heterotic SO(16)xSO(16) string on orbifolds and smooth Calabi-Yaus. Using such supersymmetry preserving backgrounds allows one to re-employ commonly known model building techniques. We will argue that tachyons do not appear on smooth Calabi-Yaus to leading order in alpha' and g_s. Twisted tachyons may arise on singular orbifolds, where some of these approximations break down. However, they get lifted in full blow-up. Finally, we show that model searches is viable by identifying over 12,000 of SM-like models on various orbifold geometries.

  13. Buildings Interoperability Landscape ? DRAFT

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

    of Heating, Refrigerating, and Air-Conditioning Engineers BACS building automation and control system BCHP building-cooling-heating-power BPM Business Process Modeling BTO...

  14. Quantum control and the challenge of non-Hermitian model-building

    E-Print Network [OSTI]

    Miloslav Znojil

    2015-04-13T23:59:59.000Z

    In the context of traditional quantum-control considerations it is conjectured that one of the promising new strategies of the constructive model building could be sought in a non-stationary upgrade of the formalism of PT-symmetric quantum mechanics. This upgrade is briefly reviewed and characterized by the simultaneous participation of a triplet of Hilbert spaces in the representation of a single quantum system.

  15. Statistical Analysis of Baseline Load Models for Non-Residential Buildings

    SciTech Connect (OSTI)

    Coughlin, Katie; Piette, Mary Ann; Goldman, Charles; Kiliccote, Sila

    2008-11-10T23:59:59.000Z

    Policymakers are encouraging the development of standardized and consistent methods to quantify the electric load impacts of demand response programs. For load impacts, an essential part of the analysis is the estimation of the baseline load profile. In this paper, we present a statistical evaluation of the performance of several different models used to calculate baselines for commercial buildings participating in a demand response program in California. In our approach, we use the model to estimate baseline loads for a large set of proxy event days for which the actual load data are also available. Measures of the accuracy and bias of different models, the importance of weather effects, and the effect of applying morning adjustment factors (which use data from the day of the event to adjust the estimated baseline) are presented. Our results suggest that (1) the accuracy of baseline load models can be improved substantially by applying a morning adjustment, (2) the characterization of building loads by variability and weather sensitivity is a useful indicator of which types of baseline models will perform well, and (3) models that incorporate temperature either improve the accuracy of the model fit or do not change it.

  16. Research utilization in the building industry: decision model and preliminary assessment

    SciTech Connect (OSTI)

    Watts, R.L.; Johnson, D.R.; Smith, S.A.; Westergard, E.J.

    1985-10-01T23:59:59.000Z

    The Research Utilization Program was conceived as a far-reaching means for managing the interactions of the private sector and the federal research sector as they deal with energy conservation in buildings. The program emphasizes a private-public partnership in planning a research agenda and in applying the results of ongoing and completed research. The results of this task support the hypothesis that the transfer of R and D results to the buildings industry can be accomplished more efficiently and quickly by a systematic approach to technology transfer. This systematic approach involves targeting decision makers, assessing research and information needs, properly formating information, and then transmitting the information through trusted channels. The purpose of this report is to introduce elements of a market-oriented knowledge base, which would be useful to the Building Systems Division, the Office of Buildings and Community Systems and their associated laboratories in managing a private-public research partnership on a rational systematic basis. This report presents conceptual models and data bases that can be used in formulating a technology transfer strategy and in planning technology transfer programs.

  17. Building accurate initial models using gain functions for waveform inversion in the Laplace domain

    E-Print Network [OSTI]

    Wansoo Ha; Changsoo Shin

    2014-08-20T23:59:59.000Z

    We suggest an initial model building technique using time gain functions in the Laplace domain. Applying the gain expressed as a power of time is equivalent to taking the partial derivative of the Laplace-domain wavefield with respect to a damping constant. We construct an objective function, which minimizes the logarithmic differences between the gained field data and the partial derivative of the modeled data with respect to the damping constant. We calculate the modeled wavefield, the partial derivative wavefield, and the gradient direction in the Laplace domain using the analytic Green's function starting from a constant velocity model. This is an efficient method to generate an accurate initial model for a following Laplace-domain inversion. Numerical examples using two marine field datasets confirm that a starting model updated once from a scratch using the gradient direction calculated with the proposed method can be successfully used for a subsequent Laplace-domain inversion.

  18. A model for thermally driven heat and air transport in passive solar buildings

    SciTech Connect (OSTI)

    Jones, G.F.; Balcomb, J.D.; Otis, D.R.

    1985-01-01T23:59:59.000Z

    A model for transient interzone heat and air flow transport in passive solar buildings is presented incorporating wall boundary layers in stratified zones, and with interzone transport via apertures (doors and windows). The model includes features that have been observed in measurements taken in more than a dozen passive solar buildings. The model includes integral formulations of the laminar and turbulent boundary layer equations for the vertical walls which are then coupled to a one-dimensional core model for each zone. The cores in each zone exchange mass and energy through apertures that are modeled by an orifice type equation. The procedure is transient in that time dependence is retained only in the core equations which are solved by an explicit method. The model predicts room stratification of about 2/sup 0/C/m (1.1/sup 0/F/ft) for a room-to-room temperature difference of 0.56/sup 0/C(1/sup 0/F) which is in general agreement with the data.

  19. Role of Modeling When Designing for Absolute Energy Use Intensity Requirements in a Design-Build Framework: Preprint

    SciTech Connect (OSTI)

    Hirsch, A.; Pless, S.; Guglielmetti, R.; Torcellini, P. A.; Okada, D.; Antia, P.

    2011-03-01T23:59:59.000Z

    The Research Support Facility was designed to use half the energy of an equivalent minimally code-compliant building, and to produce as much renewable energy as it consumes on an annual basis. These energy goals and their substantiation through simulation were explicitly included in the project's fixed firm price design-build contract. The energy model had to be continuously updated during the design process and to match the final building as-built to the greatest degree possible. Computer modeling played a key role throughout the design process and in verifying that the contractual energy goals would be met within the specified budget. The main tool was a whole building energy simulation program. Other models were used to provide more detail or to complement the whole building simulation tool. Results from these specialized models were fed back into the main whole building simulation tool to provide the most accurate possible inputs for annual simulations. This paper will detail the models used in the design process and how they informed important program and design decisions on the path from preliminary design to the completed building.

  20. (1) Likelihood mode of inference: definitions and results (i) Reference population and model.

    E-Print Network [OSTI]

    Frangakis, Constantine

    linear regression model with non additive effect. pr" ` "! CU# ` sr)¤ P u X }|e5 ~ ra 5 ¤ A B pr models. (1) Normal linear regression model with additive effect. pr"a`"! sU# ` sr)¤ P u X }| 5~ rf 5

  1. 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

    Physical Modeling with Modelica. Kluwer Academic Publisher,Using SPARK as a solver for modelica. In Proc. of SimBuild,Proceedings of the 2nd Modelica conference, pages 55–1 – 55–

  2. A Methodology to Develop Monthly Energy Use Models From Utility Billing Data For Seasonally Scheduled Buildings: Application to Schools

    E-Print Network [OSTI]

    Wang, W.

    A METHODOLOGY TO DEVELOP MONTHLY ENERGY USE MODELS FROM UTILITY BILLING DATA FOR SEASONALLY SCHEDULED BUILDINGS: APPLICATION TO SCHOOLS A Thesis by WENYAN WANG Submitted to the Office of Graduate Studies of Texas A&M University in partial... fulfillment of the requirements for the degree of MASTER OF SCIENCE December 1998 Major Subject: Mechanical Engineering A METHODOLOGY TO DEVELOP MONTHLY ENERGY USE MODELS FROM UTILITY BILLING DATA FOR SEASONALLY SCHEDULED BUILDINGS: APPLICATION TO SCHOOLS A...

  3. Calibration of an EnergyPlus Building Energy Model to Assess the Impact of Demand Response Measures

    E-Print Network [OSTI]

    Lavigne, K.; Sansregret, S.; Daoud, A.; Leclair, L. A.

    2013-01-01T23:59:59.000Z

    1 Karine Lavigne Simon Sansregret Ahmed DaoudLouis-Alexandre Leclaire CALIBRATION OF AN ENERGYPLUS BUILDING ENERGY MODEL TO ASSESS THE IMPACT OF DEMAND RESPONSE MEASURES ICEBO 2013, Montr?al Groupe ? Technologie2 ICEBO-2013 Contextualization... ICEBO-2013 Groupe ? Technologie Calibrated Results 22 ICEBO-2013 12 Groupe ? Technologie Conclusion 23 ICEBO-2013 > Calibrating model for a demand response objective : Challenging and High Effort > Capturing building and human erratic behaviour...

  4. 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...

  5. Comparison of simplified models of urban climate for improved prediction of building energy use in cities

    E-Print Network [OSTI]

    Street, Michael A. (Michael Anthony)

    2013-01-01T23:59:59.000Z

    Thermal simulation of buildings is a requisite tool in the design of low-energy buildings, yet, definition of weather boundary conditions during simulation of urban buildings suffers from a lack of data that accounts for ...

  6. Residential building energy analysis : development and uncertainty assessment of a simplified model

    E-Print Network [OSTI]

    Spindler, Henry C. (Henry Carlton), 1970-

    1998-01-01T23:59:59.000Z

    Effective design of energy-efficient buildings requires attention to energy issues during the preliminary stages of design. To aid in the early consideration of a building's future energy usage, a simplified building energy ...

  7. 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...

  8. Seismic Performance, Modeling, and Failure Assessment of Reinforced Concrete Shear Wall Buildings

    E-Print Network [OSTI]

    Tuna, Zeynep

    2012-01-01T23:59:59.000Z

    Post- Tensioned Concrete Buildings,” PEER Report 2011/104,RC shear walls in high-rise buildings,” The Young ResearcherExtended 3D Analysis of Building Structures, Computers and

  9. SEISMIC RESPONSE PREDICTION OF NUPEC'S FIELD MODEL TESTS OF NPP STRUCTURES WITH ADJACENT BUILDING EFFECT.

    SciTech Connect (OSTI)

    XU,J.COSTANTINO,C.HOFMAYER,C.ALI,S.

    2004-03-04T23:59:59.000Z

    As part of a verification test program for seismic analysis computer codes for Nuclear Power Plant (NPP) structures, the Nuclear Power Engineering Corporation (NUPEC) of Japan has conducted a series of field model tests to address the dynamic cross interaction (DCI) effect on the seismic response of NPP structures built in close proximity to each other. The program provided field data to study the methodologies commonly associated with seismic analyses considering the DCI effect. As part of a collaborative program between the United States and Japan on seismic issues related to NPP applications, the U.S. Nuclear Regulatory Commission sponsored a program at Brookhaven National Laboratory (BNL) to perform independent seismic analyses which applied common analysis procedures to predict the building response to recorded earthquake events for the test models with DCI effect. In this study, two large-scale DCI test model configurations were analyzed: (1) twin reactor buildings in close proximity and (2) adjacent reactor and turbine buildings. This paper describes the NUPEC DCI test models, the BNL analysis using the SASSI 2000 program, and comparisons between the BNL analysis results and recorded field responses. To account for large variability in the soil properties, the conventional approach of computing seismic responses with the mean, mean plus and minus one-standard deviation soil profiles is adopted in the BNL analysis and the three sets of analysis results were used in the comparisons with the test data. A discussion is also provided in the paper to address (1) the capability of the analysis methods to capture the DCI effect, and (2) the conservatism of the practice for considering soil variability in seismic response analysis for adjacent NPP structures.

  10. Greensburg, Kansas: Building a Model Green Community, How Would You Rebuild a Town - Green? (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2009-04-01T23:59:59.000Z

    This brochure describes the rebuilding of Greensburg, Kansas, highlighting the Greensburg High Performance Buildings Database as a source of information for energy-efficient building techniques.

  11. Greensburg, Kansas: Building a Model Green Community, How Would You Rebuild a Town - Green?

    SciTech Connect (OSTI)

    Not Available

    2008-10-01T23:59:59.000Z

    This brochure describes the rebuilding of Greensburg, Kansas, highlighting the Greensburg High Performance Buildings Database as a source of information for energy-efficient building techniques.

  12. Model Predictive Control of Regulation Services from Commercial Buildings to the Smart Grid

    E-Print Network [OSTI]

    Maasoumy, Mehdi

    2014-01-01T23:59:59.000Z

    Services from Commercial Buildings to the Smart Grid Mehdicommercial building hvac fan as ancillary service for smartbuildings flexibility can be utilized for frequency regulation provision in the smart

  13. Validation and Application of the Room Model of the Modelica Buildings Library

    E-Print Network [OSTI]

    Nouidui, Thierry Stephane

    2014-01-01T23:59:59.000Z

    Recent developments of the Modelica buildings library forthe 8th International Modelica Conference. Dresden, Germany,Transfer in Rooms in the Modelica "Buildings" Library," in

  14. Pseudo dynamic transitional modeling of building heating energy demand using artificial neural network

    E-Print Network [OSTI]

    Paudel, Subodh; Elmtiri, Mohamed; Kling, Wil L; Corre, Olivier Le; Lacarriere, Bruno

    2014-01-01T23:59:59.000Z

    R. Satake, Prediction of energy demands using neural networkof Building Heating Energy Demand Using Artificial Neuralknow energy flows and energy demand of the buildings for the

  15. Statistical Analysis of Baseline Load Models for Non-Residential Buildings

    E-Print Network [OSTI]

    Coughlin, Katie

    2012-01-01T23:59:59.000Z

    Building Control Strategies and Techniques for Demand Response,for commercial buildings participating in a demand responsebuildings participating in an event-driven demand response

  16. Sensor Characteristics Reference Guide

    SciTech Connect (OSTI)

    Cree, Johnathan V.; Dansu, A.; Fuhr, P.; Lanzisera, Steven M.; McIntyre, T.; Muehleisen, Ralph T.; Starke, M.; Banerjee, Pranab; Kuruganti, T.; Castello, C.

    2013-04-01T23:59:59.000Z

    The Buildings Technologies Office (BTO), within the U.S. Department of Energy (DOE), Office of Energy Efficiency and Renewable Energy (EERE), is initiating a new program in Sensor and Controls. The vision of this program is: • Buildings operating automatically and continuously at peak energy efficiency over their lifetimes and interoperating effectively with the electric power grid. • Buildings that are self-configuring, self-commissioning, self-learning, self-diagnosing, self-healing, and self-transacting to enable continuous peak performance. • Lower overall building operating costs and higher asset valuation. The overarching goal is to capture 30% energy savings by enhanced management of energy consuming assets and systems through development of cost-effective sensors and controls. One step in achieving this vision is the publication of this Sensor Characteristics Reference Guide. The purpose of the guide is to inform building owners and operators of the current status, capabilities, and limitations of sensor technologies. It is hoped that this guide will aid in the design and procurement process and result in successful implementation of building sensor and control systems. DOE will also use this guide to identify research priorities, develop future specifications for potential market adoption, and provide market clarity through unbiased information

  17. Jobs and Economic Development Impact (JEDI) Model: Offshore Wind User Reference Guide

    SciTech Connect (OSTI)

    Lantz, E.; Goldberg, M.; Keyser, D.

    2013-06-01T23:59:59.000Z

    The Offshore Wind Jobs and Economic Development Impact (JEDI) model, developed by NREL and MRG & Associates, is a spreadsheet based input-output tool. JEDI is meant to be a user friendly and transparent tool to estimate potential economic impacts supported by the development and operation of offshore wind projects. This guide describes how to use the model as well as technical information such as methodology, limitations, and data sources.

  18. 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.

  19. A Review of Ground Coupled Heat Pump Models Used in Whole-Building Computer Simulation Programs

    E-Print Network [OSTI]

    Do, S. L.; Haberl, J. S.

    system simulation module. The DOE-2.2 is the simulation engine of eQUEST. The eQUEST/DOE- 2.2 program uses an enhanced g-function algorithm, which was proposed by Eskilson (1987) at Lund University, Sweden, for fast calculation of the borehole wall... & Renewable Energy: http://apps1.eere.energy.gov/buildings/energyplus/ Eskilson, P. 1987. Thermal analysis of heat extraction boreholes. Lund, Sweden: Doctoral thesis, University of Lund, Dept. of Mathmatics. Fisher, D., & Rees, S. 2005. Modeling ground...

  20. Hawaii demand-side management resource assessment. Final report, Reference Volume 2: Final residential and commercial building prototypes and DOE-2.1E developed UECs and EUIs; Part 2

    SciTech Connect (OSTI)

    NONE

    1995-04-01T23:59:59.000Z

    This section contains the detailed measured impact results and market segment data for each DSM case examined for this building type. A complete index of all base and measure cases defined for this building type is shown first. This index represents an expansion of the base and measure matrix presented in Table 1 (residential) or Table 2 (commercial) for the applicable sector. Following this index, a summary report sheet is provided for each DSM measure case in the order shown in the index. The summary report sheet contains a host of information and selected graphs which define and depict the measure impacts and outline the market segment data assumptions utilized for each case in the DBEDT DSM Forecasting models. The variables and figures included in the summary report sheet are described. Numerous tables and figures are included.

  1. Solid Waste Projection Model: Database (Version 1.3). Technical reference manual

    SciTech Connect (OSTI)

    Blackburn, C.L.

    1991-11-01T23:59:59.000Z

    The Solid Waste Projection Model (SWPM) system is an analytical tool developed by Pacific Northwest Laboratory (PNL) for Westinghouse Hanford Company (WHC). The SWPM system provides a modeling and analysis environment that supports decisions in the process of evaluating various solid waste management alternatives. This document, one of a series describing the SWPM system, contains detailed information regarding the software and data structures utilized in developing the SWPM Version 1.3 Database. This document is intended for use by experienced database specialists and supports database maintenance, utility development, and database enhancement.

  2. Comparison of Demand Response Performance with an EnergyPlus Model in a Low Energy Campus Building

    SciTech Connect (OSTI)

    Dudley, Junqiao Han; Black, Doug; Apte, Mike; Piette, Mary Ann; Berkeley, Pam

    2010-05-14T23:59:59.000Z

    We have studied a low energy building on a campus of the University of California. It has efficient heating, ventilation, and air conditioning (HVAC) systems, consisting of a dual-fan/dual-duct variable air volume (VAV) system. As a major building on the campus, it was included in two demand response (DR) events in the summers of 2008 and 2009. With chilled water supplied by thermal energy storage in the central plant, cooling fans played a critical role during DR events. In this paper, an EnergyPlus model of the building was developed and calibrated. We compared both whole-building and HVAC fan energy consumption with model predictions to understand why demand savings in 2009 were much lower than in 2008. We also used model simulations of the study building to assess pre-cooling, a strategy that has been shown to improve demand saving and thermal comfort in many types of building. This study indicates a properly calibrated EnergyPlus model can reasonably predict demand savings from DR events and can be useful for designing or optimizing DR strategies.

  3. Commercial Building Energy Baseline Modeling Software: Performance Metrics and Method Testing with Open Source Models and Implications for Proprietary Software Testing

    SciTech Connect (OSTI)

    Price, Phillip N.; Granderson, Jessica; Sohn, Michael; Addy, Nathan; Jump, David

    2013-09-01T23:59:59.000Z

    The overarching goal of this work is to advance the capabilities of technology evaluators in evaluating the building-level baseline modeling capabilities of Energy Management and Information System (EMIS) software. Through their customer engagement platforms and products, EMIS software products have the potential to produce whole-building energy savings through multiple strategies: building system operation improvements, equipment efficiency upgrades and replacements, and inducement of behavioral change among the occupants and operations personnel. Some offerings may also automate the quantification of whole-building energy savings, relative to a baseline period, using empirical models that relate energy consumption to key influencing parameters, such as ambient weather conditions and building operation schedule. These automated baseline models can be used to streamline the whole-building measurement and verification (M&V) process, and therefore are of critical importance in the context of multi-measure whole-building focused utility efficiency programs. This report documents the findings of a study that was conducted to begin answering critical questions regarding quantification of savings at the whole-building level, and the use of automated and commercial software tools. To evaluate the modeling capabilities of EMIS software particular to the use case of whole-building savings estimation, four research questions were addressed: 1. What is a general methodology that can be used to evaluate baseline model performance, both in terms of a) overall robustness, and b) relative to other models? 2. How can that general methodology be applied to evaluate proprietary models that are embedded in commercial EMIS tools? How might one handle practical issues associated with data security, intellectual property, appropriate testing ‘blinds’, and large data sets? 3. How can buildings be pre-screened to identify those that are the most model-predictable, and therefore those whose savings can be calculated with least error? 4. What is the state of public domain models, that is, how well do they perform, and what are the associated implications for whole-building measurement and verification (M&V)? Additional project objectives that were addressed as part of this study include: (1) clarification of the use cases and conditions for baseline modeling performance metrics, benchmarks and evaluation criteria, (2) providing guidance for determining customer suitability for baseline modeling, (3) describing the portfolio level effects of baseline model estimation errors, (4) informing PG&E’s development of EMIS technology product specifications, and (5) providing the analytical foundation for future studies about baseline modeling and saving effects of EMIS technologies. A final objective of this project was to demonstrate the application of the methodology, performance metrics, and test protocols with participating EMIS product vendors.

  4. Product and Process Modeling for Functional Performance Testing in Low-Energy Building Embedded Commissioning Cases

    E-Print Network [OSTI]

    Akcamete, A.; Garrett, J.; Akinci, B.; Akin, O.; Lee, K. J.

    2007-01-01T23:59:59.000Z

    building life-cycle. during the Cx process shou evaluation procedures throug building. We call this the Embedde Approach (ECxA). In this ap defined as a building delive which persistently verifies intent throughout the building this viewpoint, buildings... plan for the ECxA of the radiant mullion system, and are in the initial shadowing stages of the installation of the new fan coil system. During recent meetings with IW staff including their controls specialist, Research Technician James Jarrett...

  5. Assessing the Potential of Developing a Tool for Residential Facility Management Using Building Information Modeling Software

    E-Print Network [OSTI]

    Madhani, Himanshu 1986-

    2012-11-29T23:59:59.000Z

    for scheduled, proactive and (when necessary) reactive maintenance work. Globally, use of smart phones and various applications for home and office security has amplified. With increase in use of smart phones and applications by owners, such a tool would... that the building is a smart building which is synced with the system. Smart Buildings LLC (a US-based engineering and design firm) offers this definition: ?A smart building is the integration of building, technology, and energy systems. These systems may include...

  6. Evaluation of Energy Concepts for Office Buildings

    E-Print Network [OSTI]

    Fisch, M.; Norbert, M.; Plesser, S.

    2005-01-01T23:59:59.000Z

    ) Figure 2 Average Annual Consumption of Primary Energy for 16 EVA-buildings and Reference-Studies Reference studies: Schweiz [2], EG-Audit [5], Stadt Frankfurt [6], enerkenn [3] EVA glassed buildings includes 4 buildings with existing data... buildings and analysed existing data on energy consumption suggest that glassed office buildings do not generally have a significantly higher energy consumption than regular office buildings. Introduction Over the last 10 years, some research...

  7. Investigation of techniques to build generation system models for reliability evaluation 

    E-Print Network [OSTI]

    Gubbala, Nagalakshmi V.

    1994-01-01T23:59:59.000Z

    of the Proposed Method 1. Two State Unit 2. Three State Unit . 3. n State Unit B. Results and Discussion 1. Case Studies Using IEEE-RTS 2. Case Studies Using EPRI Synthetic System 3. The System Described in Reference [8] 4. CPU Times for Different Models... Transform 1. Count of Operations 3 7 10 11 12 13 16 16 17 20 24 25 27 30 33 39 39 40 43 44 46 48 50 VJn CHAPTER Page 2. Derivation D. Mathematical Comparison E. System Studies 1. IEEE-RTS 2. EPRI Synthetic 3. Results 4...

  8. Investigation of techniques to build generation system models for reliability evaluation

    E-Print Network [OSTI]

    Gubbala, Nagalakshmi V.

    1994-01-01T23:59:59.000Z

    of the Proposed Method 1. Two State Unit 2. Three State Unit . 3. n State Unit B. Results and Discussion 1. Case Studies Using IEEE-RTS 2. Case Studies Using EPRI Synthetic System 3. The System Described in Reference [8] 4. CPU Times for Different Models... Transform 1. Count of Operations 3 7 10 11 12 13 16 16 17 20 24 25 27 30 33 39 39 40 43 44 46 48 50 VJn CHAPTER Page 2. Derivation D. Mathematical Comparison E. System Studies 1. IEEE-RTS 2. EPRI Synthetic 3. Results 4...

  9. Biomass Scenario Model Documentation: Data and References | SciTech Connect

    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 Materials Find Find MoreTechnical Report: Biomass Scenario Model

  10. 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

    An experimental study, Energy and Buildings 43 (2011) 573?and  nthropogenic heat, Energy and  Buildings 25 (1997) 99?in  an  urban context, Energy and Buildings 43 (2011) 1549?

  11. 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 

  12. Towards a Very Low Energy Building Stock: Modeling the U.S. Commercial Building Sector to Support Policy and Innovation Planning

    E-Print Network [OSTI]

    Coffey, Brian

    2010-01-01T23:59:59.000Z

    for Achieving Net Zero-Energy Buildings in the CommercialD. Crawley (2006) Zero Energy Buildings: A Critical Look atcalls for net-zero energy commercial buildings by 2030 (

  13. Definition of a 5MW/61.5m wind turbine blade reference model.

    SciTech Connect (OSTI)

    Resor, Brian Ray

    2013-04-01T23:59:59.000Z

    A basic structural concept of the blade design that is associated with the frequently utilized %E2%80%9CNREL offshore 5-MW baseline wind turbine%E2%80%9D is needed for studies involving blade structural design and blade structural design tools. The blade structural design documented in this report represents a concept that meets basic design criteria set forth by IEC standards for the onshore turbine. The design documented in this report is not a fully vetted blade design which is ready for manufacture. The intent of the structural concept described by this report is to provide a good starting point for more detailed and targeted investigations such as blade design optimization, blade design tool verification, blade materials and structures investigations, and blade design standards evaluation. This report documents the information used to create the current model as well as the analyses used to verify that the blade structural performance meets reasonable blade design criteria.

  14. Better Buildings Neighborhood Program Business Models Guide: Contractor/Retailer Business Models

    Broader source: Energy.gov [DOE]

    Business models information focused on remodelers, HVAC (heating, ventilation, and air conditioning) contractors, home performance contractors, or retailers.

  15. Better Buildings Neighborhood Program Business Models Guide: Home Performance Contractor Business Model

    Broader source: Energy.gov [DOE]

    The home performance contractor model walks through the “one-stop-shop” model for home energy upgrades. It illustrates both the opportunities and barriers for starting as a home performance contractor company from the beginning, rather than expanding from an existing model, such as a remodeler.

  16. ghMulti-Level Approach for Model-Based Predictive Control (MPC) in Buildings: A Preliminary Overview

    E-Print Network [OSTI]

    Candanedo, J. A.; Dehkordi, V. R.

    2013-01-01T23:59:59.000Z

    Model-based predictive control (MPC) has emerged in recent years as a promising approach to building operation. MPC uses models of the system(s) under control -and knowledge about future disturbances- to select an optimal set of actions. Despite its...

  17. Los Alamos Waste Management Cost Estimation Model; Final report: Documentation of waste management process, development of Cost Estimation Model, and model reference manual

    SciTech Connect (OSTI)

    Matysiak, L.M.; Burns, M.L.

    1994-03-01T23:59:59.000Z

    This final report completes the Los Alamos Waste Management Cost Estimation Project, and includes the documentation of the waste management processes at Los Alamos National Laboratory (LANL) for hazardous, mixed, low-level radioactive solid and transuranic waste, development of the cost estimation model and a user reference manual. The ultimate goal of this effort was to develop an estimate of the life cycle costs for the aforementioned waste types. The Cost Estimation Model is a tool that can be used to calculate the costs of waste management at LANL for the aforementioned waste types, under several different scenarios. Each waste category at LANL is managed in a separate fashion, according to Department of Energy requirements and state and federal regulations. The cost of the waste management process for each waste category has not previously been well documented. In particular, the costs associated with the handling, treatment and storage of the waste have not been well understood. It is anticipated that greater knowledge of these costs will encourage waste generators at the Laboratory to apply waste minimization techniques to current operations. Expected benefits of waste minimization are a reduction in waste volume, decrease in liability and lower waste management costs.

  18. Methodology for Analyzing the Technical Potential for Energy Performance in the U.S. Commercial Buildings Sector with Detailed Energy Modeling: Preprint

    SciTech Connect (OSTI)

    Griffith, B.; Crawley, D.

    2006-11-01T23:59:59.000Z

    This paper summarizes a methodology for developing quantitative answers to the question, ''How low can energy use go within the commercial buildings sector''? The basic process is to take each building in the 1999 CBECS public use data files and create a baseline building energy model for it as if it were being built new in 2005 with code-minimum energy performance.

  19. Modeling VOC sorption of building materials and its impact on indoor air quality

    E-Print Network [OSTI]

    Zhang, Jinsong, 1975-

    2001-01-01T23:59:59.000Z

    Sorption of volatile organic compounds (VOCs) by building materials can have significant effect on the indoor VOC concentration levels and indoor air quality in buildings. The objective of this study was to investigate ...

  20. Accounting for the Occupancy Variable in Inverse Building Energy Baselining Models

    E-Print Network [OSTI]

    Claridge, D. E.

    2001-01-01T23:59:59.000Z

    .1-1989, Energy Efficient Design of New Buildings Except Low-Rise Residential Buildings. American Society of Heating, Refrigerating and Air-conditioning Engineers. Atlanta, Georgia. Bronson, D., 1992, ?Calibrated Computer Simulations for the Analysis of Retrofit...

  1. Identification, Model Updating, and Response Prediction of an Instrumented 15-Story Steel-Frame Building

    E-Print Network [OSTI]

    Skolnik, Derek; Lei, Ying; Yu, Eunjong; Wallace, J W

    2006-01-01T23:59:59.000Z

    A. , 1998. Ductile Design of Steel Structure, McGraw Hill,monitoring of the steel-frame UCLA Factor Building,an Instrumented 15-Story Steel-Frame Building Derek Skolnik,

  2. Sizing Thermally Activated Building Systems (TABS): A Brief Literature Review and Model Evaluation

    E-Print Network [OSTI]

    Basu, Chandrayee; Schiavon, Stefano; Bauman, Fred

    2012-01-01T23:59:59.000Z

    m 2 /W Thermal resistance of the building envelope, K-m 2 /Wtemperature, envelope, slab and tubing thermal resistance,

  3. Proceedings of ASHRAE-DOE-BTECC Conference on Building Thermal Envelopes Simplified Modeling for

    E-Print Network [OSTI]

    LBL-31305 Proceedings of ASHRAE-DOE-BTECC Conference on Building Thermal Envelopes Simplified in the envelopes of residential buildings is the primary mechanism to pro- vide ventilation to those buildings and exposure to be made and demonstrates how changes in the envelope or ventilation system would affect it

  4. Modeling the Air Flow in the 3410 Building Filtered Exhaust Stack System

    SciTech Connect (OSTI)

    Recknagle, Kurtis P.; Barnett, J. M.; Suffield, Sarah R.

    2013-01-23T23:59:59.000Z

    Additional ventilation capacity has been designed for the 3410 Building filtered exhaust stack system. The updated system will increase the number of fans from two to three and will include ductwork to incorporate the new fan into the existing stack. Stack operations will involve running various two-fan combinations at any given time. The air monitoring system of the existing two-fan stack was previously found to be in compliance with the ANSI/HPS N13.1-1999 standard, however it is not known if the modified (three-fan) system will comply. Subsequently, a full-scale three-dimensional (3-D) computational fluid dynamics (CFD) model of the modified stack system has been created to examine the sampling location for compliance with the standard. The CFD modeling results show good agreement with testing data collected from the existing 3410 Building stack and suggest that velocity uniformity and flow angles will remain well within acceptance criteria when the third fan and associated ductwork is installed. This includes two-fan flow rates up to 31,840 cfm for any of the two-fan combinations. For simulation cases in which tracer gas and particles are introduced in the main duct, the model predicts that both particle and tracer gas coefficients of variance (COVs) may be larger than the acceptable 20 percent criterion of the ANSI/HPS N13.1-1999 standard for each of the two-fan, 31,840 cfm combinations. Simulations in which the tracers are introduced near the fans result in improved, though marginally acceptable, COV values for the tracers. Due to the remaining uncertainty that the stack will qualify with the addition of the third fan and high flow rates, a stationary air blender from Blender Products, Inc. is considered for inclusion in the stack system. A model of the air blender has been developed and incorporated into the CFD model. Simulation results from the CFD model that includes the air blender show striking improvements in tracer gas mixing and tracer particle dispersion. The results of these simulations suggest the air blender should be included in the stack system to ensure qualification of the stack.

  5. 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.

  6. Automated Continuous Commissioning of Commercial Buildings

    E-Print Network [OSTI]

    Bailey, Trevor

    2013-01-01T23:59:59.000Z

    P. “Real Time Model-based Energy Diagnostics in Buildings. ”Proc. Building Simulation ’11, Sydney, Australia, Novemberhttp://www.eere.energy.gov/buildings/energyplus/. 7. http://

  7. Poroelastic references

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

    Christina Morency

    This file contains a list of relevant references on the Biot theory (forward and inverse approaches), the double-porosity and dual-permeability theory, and seismic wave propagation in fracture porous media, in RIS format, to approach seismic monitoring in a complex fractured porous medium such as Brady?s Geothermal Field.

  8. Poroelastic references

    SciTech Connect (OSTI)

    Christina Morency

    2014-12-12T23:59:59.000Z

    This file contains a list of relevant references on the Biot theory (forward and inverse approaches), the double-porosity and dual-permeability theory, and seismic wave propagation in fracture porous media, in RIS format, to approach seismic monitoring in a complex fractured porous medium such as Brady?s Geothermal Field.

  9. An arena for model building in the Cohen-Glashow very special relativity

    SciTech Connect (OSTI)

    Sheikh-Jabbari, M. M., E-mail: jabbari@theory.ipm.ac.i [Institute for Research in Fundamental Sciences, School of Physics (Iran, Islamic Republic of); Tureanu, A., E-mail: anca.tureanu@helsinki.f [University of Helsinki and Helsinki Institute of Physics, Department of Physics (Finland)

    2010-02-15T23:59:59.000Z

    The Cohen-Glashow Very Special Relativity (VSR) algebra is defined as the part of the Lorentz algebra which upon addition of CP or T invariance enhances to the full Lorentz group, plus the space-time translations. We show that noncommutative space-time, in particular noncommutative Moyal plane, with light- like noncommutativity provides a robust mathematical setting for quantum field theories which are VSR invariant and hence set the stage for building VSR invariant particle physics models. In our setting the VSR invariant theories are specified with a single deformation parameter, the noncommutativity scale {Lambda}{sub NC}. Preliminary analysis with the available data leads to {Lambda}{sub NC} {>=} 1-10 TeV.

  10. From coronal observations to MHD simulations, the building blocks for 3D models of solar flares

    E-Print Network [OSTI]

    Janvier, Miho; Demoulin, Pascal

    2015-01-01T23:59:59.000Z

    Solar flares are energetic events taking place in the Sun's atmosphere, and their effects can greatly impact the environment of the surrounding planets. In particular, eruptive flares, as opposed to confined flares, launch coronal mass ejections into the interplanetary medium, and as such, are one of the main drivers of space weather. After briefly reviewing the main characteristics of solar flares, we summarize the processes that can account for the build up and release of energy during their evolution. In particular, we focus on the development of recent 3D numerical simulations that explain many of the observed flare features. These simulations can also provide predictions of the dynamical evolution of coronal and photospheric magnetic field. Here we present a few observational examples that, together with numerical modelling, point to the underlying physical mechanisms of the eruptions.

  11. Commercial Reference Buildings | 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 1112011AT&T, Inc.'sEnergyTexas1.Space Data CorporationPast Projects » Commercial

  12. Existing Commercial Reference Buildings Constructed Before 1980 |

    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 FederalTexas EnergyofIdahoExceptions to DOEDepartment ofJanuary -

  13. DOE Commercial Reference Buildings | 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 Your Destiny: Theof"Wave theJulyD&D Project forDepartment ofCurriculumII

  14. Category:Buildings References | 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:Power LPInformationCashton Greens Jump Lease. Add.png Addnew

  15. Better Buildings Neighborhood Program Business Models Guide: Utility Program Administrator Business Model

    Broader source: Energy.gov [DOE]

    The following sections focus on the five core components of a utility’s business model, highlighting the critical elements of how utilities function within the market and how other organizations within the market can best collaborate with them.

  16. Efficient implementation of the three-dimensional reference interaction site model method in the fragment molecular orbital method

    SciTech Connect (OSTI)

    Yoshida, Norio, E-mail: noriwo@chem.kyushu-univ.jp [Department of Chemistry, Graduate School of Sciences, Kyushu University, 6-10-1, Hakozaki, Higashi-ku, Fukuoka 812-8581 (Japan)

    2014-06-07T23:59:59.000Z

    The three-dimensional reference interaction site model (3D-RISM) method was efficiently implemented in the fragment molecular orbital (FMO) method. The method is referred to as the FMO/3D-RISM method, and allows us to treat electronic structure of the whole of a macromolecule, such as a protein, as well as the solvent distribution around a solute macromolecule. The formalism of the FMO/3D-RISM method, for the computationally available form and variational expressions, are proposed in detail. A major concern leading to the implementation of the method was decreasing the computational costs involved in calculating the electrostatic potential, because the electrostatic potential is calculated on numerous grid points in three-dimensional real space in the 3D-RISM method. In this article, we propose a procedure for decreasing the computational costs involved in calculating the electrostatic potential in the FMO method framework. The strategy involved in this procedure is to evaluate the electrostatic potential and the solvated Fock matrix in different manners, depending on the distance between the solute and the solvent. The electrostatic potential is evaluated directly in the vicinity of the solute molecule by integrating the molecular orbitals of monomer fragments of the solute molecule, whereas the electrostatic potential is described as the sum of multipole interactions when an analog of the fast multipole method is used. The efficiency of our method was demonstrated by applying it to a water trimer system and three biomolecular systems. The FMO/3D-RISM calculation can be performed within a reasonable computational time, retaining the accuracy of some physical properties.

  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. Reference Material

    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 RadiationRecord-SettingHead ofReference-Documents Sign In

  19. Building Long-Term Sustained Capacity and Influencing Decisions: The U.S. DOE SEP Capacity Model

    SciTech Connect (OSTI)

    McCarthy, Patrick [TecMarket Works; Hall, Nick [TecMarket Works; Schweitzer, Martin [ORNL; Lambert, Faith [U.S. Department of Energy

    2011-01-01T23:59:59.000Z

    This paper presents a state-level systems model that incorporates traditional behavior change models into a more extensive framework for explaining energy efficiency and renewable energy impacts. The model was developed from a seminal national study of state energy programs covering a broad array of programmatic topic areas. The study examined a wide range of program offerings within 24 states, involving over 25 years of state efforts. While specific priorities and outcomes varied greatly across the states for each of the topic areas, consistent systems-level capacity-building patterns were revealed. This model demonstrates how the U.S. Department of Energy s (DOE s) State Energy Program (SEP) and non-SEP resources, when incorporated into a framework of essential capacity-building components, can lead to energy efficiency and renewable energy achievements. This paper then features two case study illustrations of the model.

  20. 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.

  1. area operations building: Topics by E-print Network

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

    reference of the suitable plans for the energy efficient reconstruction of buildings in cold area. 2. ANALYSIS ON HEATING ENERGY CONSUMPTION 2.1 Building Situation Based... on...

  2. Reference Buildings by Building Type: Full service restaurant | Department

    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 ContaminationHubs+18, 2012Energy ReliabilityNewsEnergy VehicleofIndustry Doesof

  3. Reference Buildings by Building Type: Full service restaurant | Department

    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 ContaminationHubs+18, 2012Energy ReliabilityNewsEnergy VehicleofIndustry Doesofof

  4. Reference Buildings by Building Type: Full service restaurant | Department

    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 ContaminationHubs+18, 2012Energy ReliabilityNewsEnergy VehicleofIndustry Doesofofof

  5. Reference Buildings by Building Type: Hospital | 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'tOrigin of ContaminationHubs+18, 2012Energy ReliabilityNewsEnergy VehicleofIndustry

  6. Reference Buildings by Building Type: Hospital | 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'tOrigin of ContaminationHubs+18, 2012Energy ReliabilityNewsEnergy

  7. Reference Buildings by Building Type: Hospital | 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'tOrigin of ContaminationHubs+18, 2012Energy ReliabilityNewsEnergypre1980_v1.3_5.0.zip

  8. Reference Buildings by Building Type: Large Hotel | 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'tOrigin of ContaminationHubs+18, 2012Energy

  9. Reference Buildings by Building Type: Large Hotel | 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'tOrigin of ContaminationHubs+18, 2012Energy

  10. Reference Buildings by Building Type: Large office | 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'tOrigin of ContaminationHubs+18, 2012Energy

  11. Reference Buildings by Building Type: Large office | 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'tOrigin of ContaminationHubs+18, 2012Energy

  12. Reference Buildings by Building Type: Large office | 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'tOrigin of ContaminationHubs+18, 2012Energy

  13. Reference Buildings by Building Type: Strip mall | 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'tOrigin of ContaminationHubs+18,

  14. Reference Buildings by Building Type: Strip mall | 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'tOrigin of ContaminationHubs+18,

  15. Reference Buildings by Building Type: Supermarket | 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'tOrigin of ContaminationHubs+18,

  16. Reference Buildings by Building Type: Supermarket | 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'tOrigin of ContaminationHubs+18,

  17. Reference Buildings by Building Type: Supermarket | 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'tOrigin of ContaminationHubs+18,

  18. Reference Buildings by Building Type: Warehouse | 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'tOrigin of ContaminationHubs+18,new2004_v1.3_5.0.zip refbldg_warehouse_new2004_v1-4_7-2.zip More

  19. Reference Buildings by Building Type: Warehouse | 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'tOrigin of ContaminationHubs+18,new2004_v1.3_5.0.zip refbldg_warehouse_new2004_v1-4_7-2.zip

  20. Reference Buildings by Building Type: Warehouse | 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'tOrigin of ContaminationHubs+18,new2004_v1.3_5.0.zip