Sample records for mecs energy measures

  1. Transportation Equipment (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003ToolsearchTransportation Equipment (2010 MECS)

  2. Fabricated Metals (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist. Category UC-lFederalFY 2008 FOIAFabricated Metals (2010 MECS)

  3. MECS 2006 - Cement | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomy andTermsDepartment1| DepartmentCement MECS 2006 -

  4. MECS 2006 - Chemicals | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomy andTermsDepartment1| DepartmentCement MECS 2006

  5. MECS 2006 - Glass | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomy andTermsDepartment1| DepartmentCementFoodGlass MECS

  6. MECS 2006 - Petroleum Refining | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomy andTermsDepartment1|Petroleum Refining MECS 2006 -

  7. MECS 2006 - Plastics | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomy andTermsDepartment1|Petroleum Refining MECS 2006

  8. MECS 2006 - Textiles | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomy andTermsDepartment1|Petroleum Refining MECS

  9. Manufacturing Energy Consumption Survey (MECS) - Residential - U.S. Energy

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400,Information Administration (EIA) Archive MECS Survey

  10. Manufacturing Energy Consumption Survey (MECS) - U.S. Energy Information

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400,Information Administration (EIA) Archive MECS

  11. Manufacturing Energy and Carbon Footprints (2006 MECS)

    Broader source: Energy.gov [DOE]

    Energy and Carbon Footprints provide a mapping of energy from supply to end use in manufacturing. They show us where energy is used and lost—and where greenhouse gases (GHGs) are emitted. Footprints are available below for 15 manufacturing sectors (representing 94% of all manufacturing energy use) and for U.S. manufacturing as a whole. Analysis of these footprints is also available in the U.S. Manufacturing Energy Use and Greenhouse Gas Emissions Analysis report.

  12. Foundries (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdf Flash2006-52.pdf0.pdfDepartment of Energy's2 Fossil Energy Today

  13. Fabricated Metals (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport in RepresentativeDepartment of Energy 1.DepartmentofDEPARTMENT2 DOEFabricated

  14. Cement (2010 MECS) | 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 EnergyAdministration-Desert SouthwestofDepartmentCellulosicCement (2010

  15. MECS 2006 - All Manufacturing | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomy andTermsDepartment1| Department ofEnergyFMCFCMEAAll

  16. Transportation Equipment (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideoStrategic|IndustrialCenter Gets PeopleTransmissionModelingTransportation

  17. Chemicals (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube platformBuilding RemovalCSSDepartment of Energy5-4-20129BurnerChemicals

  18. Forest Products (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdf Flash2006-52.pdf0.pdfDepartment of Energy's Financial

  19. MECS 2006 - Fabricated Metals | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomy andTermsDepartment1| DepartmentCement

  20. MECS 2006 - Forest Products | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomy andTermsDepartment1| DepartmentCementFood andForest

  1. MECS 2006 - Foundries | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomy andTermsDepartment1| DepartmentCementFood

  2. MECS 2006 - Machinery | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomy andTermsDepartment1|

  3. MECS 2006 - Transportation Equipment | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomy andTermsDepartment1|Petroleum Refining

  4. All Manufacturing (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProducts (VAP) VAP7-0973ManagedStrategic|Aljazeera story on rareAll Issues AllAll

  5. MECS 2006 - Computer, Electronics and Appliances | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomy andTermsDepartment1| DepartmentCement MECS

  6. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14 Jan-15Liquid Fuels andAssociation ofInformation

  7. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14 Jan-15Liquid Fuels andAssociation

  8. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14 Jan-15Liquid Fuels andAssociationInformation

  9. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14 Jan-15Liquid Fuels

  10. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14 Jan-15Liquid FuelsInformation Administration

  11. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14 Jan-15Liquid FuelsInformation

  12. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14 Jan-15Liquid FuelsInformationInformation

  13. Manufacturing Energy Consumption Survey (MECS) - U.S. Energy Information

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:DeploymentSite Name:24,High naturalProsperityNaturalLower

  14. Manufacturing Energy Consumption Survey (MECS) - U.S. Energy Information

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400,Information Administration (EIA) Archive

  15. Manufacturing Energy and Carbon Footprint - Sector: Machinery (NAICS 333), January 2014 (MECS 2010)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment3311, 3312), October 2012 (MECS 2006) | Department of

  16. Manufacturing Energy and Carbon Footprint - Sector: Plastics (NAICS 326), January 2014 (MECS 2010)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment3311, 3312), October 2012 (MECS 2006) | Department

  17. Manufacturing Energy Consumption Survey (MECS) - Analysis & Projections -

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYearUnderground Storage1 Energy InformationeialogoU.S.

  18. Manufacturing-Industrial Energy Consumption Survey(MECS) Historical

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYearUnderground Storage1 Energy

  19. Food and Beverage (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport inEnergy0.pdf Flash2010-60.pdf2 DOE Hydrogen andMeetingonup onFood and

  20. Plastics and Rubber Products (2010 MECS) | Department of Energy

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

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

  1. Manufacturing Energy Consumption Survey (MECS) - Analysis & Projections -

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14 Jan-15Liquid Fuels andAssociation of

  2. Plastics and Rubber Products (2010 MECS) | 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 Contamination in235-1Department of EnergyPlanned AuditsPlastics and Rubber Products

  3. Manufacturing Energy and Carbon Footprints (2010 MECS) | Department of

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

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

  4. Manufacturing Energy and Carbon Footprint - Sector: Iron and Steel (NAICS 3311, 3312), January 2014 (MECS 2010)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment3311, 3312), October 2012 (MECS 2006) | Department of Energy

  5. Iron and Steel (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetter Report: I11IG002RTC3 | 12/1/2014 | ©Iowa lab getsIron and

  6. Manufacturing Energy Consumption Survey (MECS) - Analysis & Projections -

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S.MajorMarketsNov-14Biomass feedstocksMU Eneg30U.S.

  7. Manufacturing Energy Consumption Survey (MECS) - Analysis & Projections -

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S.MajorMarketsNov-14Biomass feedstocksMU Eneg30U.S.U.S.

  8. Iron and Steel (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOil & Gas » Methane HydrateEnergy

  9. Manufacturing Energy and Carbon Footprints (2006 MECS) | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOil & Gas »ofMarketingSmart WindowsDepartmentEnergy Manufacturing

  10. Food and Beverage (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdf Flash2006-52.pdf0.pdfDepartment of Energy's Financial Assistance for

  11. MECS 2006 - Alumina and Aluminum | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomy andTermsDepartment1| Department

  12. MECS 2006 - Food and Beverage | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomy andTermsDepartment1| DepartmentCementFood and

  13. MECS 2006 - Iron and Steel | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomy andTermsDepartment1| DepartmentCementFoodGlass

  14. Alumina and Aluminum (2010 MECS) | Department of Energy

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

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

  15. Manufacturing Energy and Carbon Footprint - Sector: Petroleum Refining (NAICS 324110), January 2014 (MECS 2010)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment3311, 3312), October 2012 (MECS 2006) | Department ofPetroleum

  16. Manufacturing Energy and Carbon Footprint - Sector: Textiles (NAICS 313-316), January 2014 (MECS 2010)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment3311, 3312), October 2012 (MECS 2006) | DepartmentTextiles (NAICS

  17. Manufacturing Energy and Carbon Footprint - Sector: Transportation Equipment (NAICS 336), January 2014 (MECS 2010)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment3311, 3312), October 2012 (MECS 2006) | DepartmentTextiles

  18. Manufacturing Energy and Carbon Footprint - Sector: All Manufacturing (NAICS 31-33), January 2014 (MECS 2010)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomyDr.EnergyManufacturingAll Manufacturing (NAICS

  19. Manufacturing Energy and Carbon Footprint - Sector: Alumina and Aluminum (NAICS 3313), January 2014 (MECS 2010)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomyDr.EnergyManufacturingAll Manufacturing

  20. Manufacturing Energy and Carbon Footprint - Sector: Cement (NAICS 327310), January 2014 (MECS 2010)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomyDr.EnergyManufacturingAll ManufacturingCement

  1. Manufacturing Energy and Carbon Footprint - Sector: Chemicals (NAICS 325), January 2014 (MECS 2010)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomyDr.EnergyManufacturingAll

  2. Manufacturing Energy and Carbon Footprint - Sector: Fabricated Metals (NAICS 332), January 2014 (MECS 2010)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomyDr.EnergyManufacturingAllComputers,

  3. Manufacturing Energy and Carbon Footprint - Sector: Food and Beverage (NAICS 311, 312), January 2014 (MECS 2010)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomyDr.EnergyManufacturingAllComputers,Food and

  4. Manufacturing Energy and Carbon Footprint - Sector: Forest Products (NAICS 321, 322), January 2014 (MECS 2010)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomyDr.EnergyManufacturingAllComputers,Food

  5. Manufacturing Energy and Carbon Footprint - Sector: Foundries (NAICS 3315), January 2014 (MECS 2010)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomyDr.EnergyManufacturingAllComputers,FoodFoundries

  6. Manufacturing Energy and Carbon Footprint - Sector: Glass (NAICS 3272, 327993), January 2014 (MECS 2010)

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

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

  7. Technical support document for proposed 1994 revision of the MEC thermal envelope requirements

    SciTech Connect (OSTI)

    Conner, C.C.; Lucas, R.G.

    1994-03-01T23:59:59.000Z

    This report documents the development of the proposed revision of the Council of American Building Officials` (CABO) 1994 supplement to the 1993 Model Energy Code (MEC) building thermal envelope requirements for maximum component U{sub 0}-value. The 1994 amendments to the 1993 MEC were established in last year`s code change cycle and did not change the envelope requirements. The research underlying the proposed MEC revision was conducted by Pacific Northwest Laboratory (PNL) for the US Department of Energy (DOE) Building Energy Standards program. The goal of this research was to develop revised guidelines based on an objective methodology that determines the most cost-effective (least total cost) combination of energy conservation measures (ECMs) (insulation levels and window types) for residential buildings. This least-cost set of ECMs was used as a basis for proposing revised MEC maximum U{sub 0}-values (thermal transmittances). ECMs include window types (for example, double-pane vinyl) and insulation levels (for example, R-19) for ceilings, walls, and floors.

  8. Manufacturing Energy and Carbon Footprint - Sector: Computer, Electronics and Appliances (NAICS 334, 335), January 2014 (MECS 2010)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomyDr.EnergyManufacturingAllComputers, Electronics

  9. MECS Fuel Oil Figures

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) 3 0 07,755,432 7,466,375: Percentage of

  10. MECS Fuel Oil Tables

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) 3 0 07,755,432 7,466,375: Percentage of:

  11. restructuring_mecs94

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Building Floorspace (Square Feet) 1,001 to 5,00064,7834) DistributionChanging

  12. Measuring and Understanding Energy Efficiency Changes in Manufacturing

    E-Print Network [OSTI]

    French, D. K.; Carlson, L. T.

    from a series of industrial roundlable discussions Consumption Survey (MECS) is the survey vchicle conducted by Energy Information Administration (EIA). In specifically designed for the manufacturing industrics. addition, anticipated future data... related to efriciency, technology MECS uata have been used to assess energy efficiency in penetralion, and implementatiun of demand-side management manufacturing, and further analysis of this issue is aCI ivi tics are discussed. forthcoming...

  13. Validating Energy Measures

    E-Print Network [OSTI]

    Chari, S.; Thomas, D.

    Energy measurements play a very important role in a detailed energy analysis. The role is more important in industrial processes where wide variations of process conditions exist. Valid energy measurements make the decision making process easier...

  14. Measuring Energy Sustainability

    E-Print Network [OSTI]

    20 Measuring Energy Sustainability David L. Greene Abstract For the purpose of measurement, energy sustainability is defined as ensuring that future generations have energy resources that enable them to achieve that there are valid, more comprehensive understandings of sustainability and that energy sustainability as de- fined

  15. Manufacturing Energy and Carbon Footprint - Sector: Iron and...

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

    Iron and Steel (NAICS 3311, 3312), October 2012 (MECS 2006) Manufacturing Energy and Carbon Footprint - Sector: Iron and Steel (NAICS 3311, 3312), October 2012 (MECS 2006)...

  16. Methodology for developing Version 2.0 of the MECcheck{trademark} materials for the 1992, 1993, and 1995 Model Energy Codes

    SciTech Connect (OSTI)

    Connell, L.M.; Lucas, R.G.; Taylor, Z.T.

    1996-06-01T23:59:59.000Z

    To help builders comply with the Council of American Building Officials (CABO) Model Energy Code (MEC), and to help code officials enforce the MEC requirements, the US Department of Energy (DOE) directed Pacific Northwest National Laboratory (PNNL) to develop the MECcheck{trademark} compliance materials. The materials include a compliance and enforcement manual for all the MEC requirements, prescriptive packages, software, and a trade-off worksheet (included in the compliance manual) to help comply with the thermal envelope requirements. The materials can be used for single-family and low- rise multifamily dwellings. The materials allow building energy efficiency measures (such as insulation levels) to be ``traded off`` against each other, allowing a wide variety of building designs to comply with the MEC. The materials were developed to provide compliance methods that are easy to use and understand. MECcheck compliance materials have been developed for three different editions of the MEC: the 1992, 1993, and 1995 editions. Although some requirements contained in the 1992, 1993, and 1995 MEC changed, the methodology used to develop the MECcheck materials for these three editions is essentially identical. This document explains the methodology used to produce the three MECcheck compliance approaches for meeting the MEC`s thermal envelope requirements--the prescriptive package approach, the software approach, and the trade-off approach. The MECcheck material are largely oriented to assisting the builder in meeting the most complicated part of the MEC--the building envelope U{sub o}-, U-, and R-value requirements in Section 502 of the MEC. This document details the calculations and assumptions underlying the treatment of the MEC requirements in MECcheck, with a major emphasis on the building envelope requirements.

  17. MECS 1991 Publications and Tables

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) 3 0 07,755,432 7,466,375

  18. Cement (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube platformBuilding RemovalCSS LetterStateDepartment ofEqualityCellulosic

  19. Petroleum Refining (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOilNEWResponse(Expired) |CERCLACompensationSafety,B. Lyons AboutPetroleum

  20. Machinery (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOil & Gas »ofMarketing |PrepareMOJAVE MOJAVE MOJAVE MOJAVEMachinery

  1. Textiles (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMayDepartmentTest for Pumping System Efficiency TestMarkTechniqueTextiles

  2. Light and Energy -Daylight measurements

    E-Print Network [OSTI]

    Light and Energy - Daylight measurements #12;Light and Energy - Daylight measurements Authors: Jens;3 Title Light and Energy Subtitle Daylight measurements Authors Jens Christoffersen, Ásta Logadóttir ........................................................................................................ 5 Daylight quantity

  3. Technical support document for proposed revision of the model energy code thermal envelope requirements

    SciTech Connect (OSTI)

    Conner, C.C.; Lucas, R.G.

    1993-02-01T23:59:59.000Z

    This report documents the development of the proposed revision of the council of American Building Officials` (CABO) 1993 supplement to the 1992 Model Energy Code (MEC) (referred to as the 1993 MEC) building thermal envelope requirements for single-family and low-rise multifamily residences. The goal of this analysis was to develop revised guidelines based on an objective methodology that determined the most cost-effective (least total life-cycle cost [LCC]) combination of energy conservation measures (ECMs) for residences in different locations. The ECMs with the lowest LCC were used as a basis for proposing revised MEC maximum U{sub o}-value (thermal transmittance) curves in the MEC format. The changes proposed here affect the requirements for ``group R`` residences. The group R residences are detached one- and two-family dwellings (referred to as single-family) and all other residential buildings three stories or less (referred to as multifamily).

  4. Technical support document for proposed revision of the model energy code thermal envelope requirements

    SciTech Connect (OSTI)

    Conner, C.C.; Lucas, R.G.

    1993-02-01T23:59:59.000Z

    This report documents the development of the proposed revision of the council of American Building Officials' (CABO) 1993 supplement to the 1992 Model Energy Code (MEC) (referred to as the 1993 MEC) building thermal envelope requirements for single-family and low-rise multifamily residences. The goal of this analysis was to develop revised guidelines based on an objective methodology that determined the most cost-effective (least total life-cycle cost [LCC]) combination of energy conservation measures (ECMs) for residences in different locations. The ECMs with the lowest LCC were used as a basis for proposing revised MEC maximum U[sub o]-value (thermal transmittance) curves in the MEC format. The changes proposed here affect the requirements for group R'' residences. The group R residences are detached one- and two-family dwellings (referred to as single-family) and all other residential buildings three stories or less (referred to as multifamily).

  5. Measurements of Energy-Energy-Correlations

    E-Print Network [OSTI]

    Erdmann, Martin

    5.1 Definition of Energy-Energy-Correlations . . . . . . . . . . . . . . . . . . . 39 5Measurements of Energy-Energy-Correlations of Ultra-High-Energy Cosmic Rays with the Pierre Auger A RWTH Aachen RWTH Aachen #12;#12;Contents 1 Introduction 1 2 Physics of Ultra-High-Energy Cosmic Rays 3

  6. Measuring Energy Security

    E-Print Network [OSTI]

    Winzer, Christian

    2013-02-01T23:59:59.000Z

      reserve  margin  and  the  probability  of  having  such  a  reserve  margin.  An  overview of other statistics measuring the continuity of supply quantities, such  as  the Customer Average  Interruption Duration  Index  (CAIDI) or  the Customer  Minutes...   continuity  of  Italian  gas  and  electricity  supplies  based  on  the  DGTren  Reference  Scenario  for  Italy  in  2030  (DG  Tren,  2009) but  replacing  the nuclear capacity with 10GW concentrated solar power  imports.  The  decision  which  policy...

  7. A Comparison of Iron and Steel Production Energy Use and Energy Intensity in China and the U.S.

    E-Print Network [OSTI]

    Hasanbeigi, Ali

    2012-01-01T23:59:59.000Z

    DOE/EIA), 2010e. Manufacturing Energy Consumption Survey (Survey (MECS)-2006 (Table 1.1). Washington, DC: EIA. http://Survey (MECS)-2006 (Table 3.1). Washington, DC: EIA. http://

  8. Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Cement Sector

    E-Print Network [OSTI]

    Sathaye, J.

    2011-01-01T23:59:59.000Z

    EIA) Manufacturing Energy Consumption Survey (MECS) ModelEIA), 2005. 2002 Manufacturing Energy Consumption Survey onSurvey (MECS), such as crosscutting technologies like process controls, building controls, waste heat recovery or adjustable speed drives (EIA

  9. Posgrado en Investigacin Matemtica, Universidad Complutense de Madrid, Mencin de Calidad MEC (MDC 2006-00482)

    E-Print Network [OSTI]

    Tradacete, Pedro

    Posgrado en Investigación Matemática, Universidad Complutense de Madrid, Mención de Calidad MEC doctorados con Mención de Calidad Este curso no tiene gastos de matriculación siendo libre la asistencia

  10. Posgrado en Investigacin Matemtica, Universidad Complutense de Madrid, Mencin de Calidad MEC (MDC 2006-00482)

    E-Print Network [OSTI]

    Tradacete, Pedro

    Posgrado en Investigación Matemática, Universidad Complutense de Madrid, Mención de Calidad MEC visitantes en estudios de doctorados con Mención de Calidad Este curso no tienen gastos de matriculación

  11. MEASURING ENERGY CONSERVATION WITH UTILITY BILLS

    E-Print Network [OSTI]

    Deckel, Walter

    2013-01-01T23:59:59.000Z

    A Program of Energy Conservation for the Community CollegeLBL-7836, May 1978, Energy Conservation on Campus", FEA/D-Journal MEASURING ENERGY CONSERVATION WITH UTILITY BILLS

  12. Differences between the 1993 and 1995 CABO Model Energy Codes

    SciTech Connect (OSTI)

    Conover, D.R.; Lucas, R.G.

    1995-10-01T23:59:59.000Z

    The Energy Policy Act of 1992 requires the US DOE to determine if changes to the Council of American Building Officials` (CABO) 1993 Model Energy Code (MEC) (CABO 1993), published in the 1995 edition of the MEC (CABO 1995), will improve energy efficiency in residential buildings. The DOE, the states, and others have expressed an interest in the differences between the 1993 and 1995 editions of the MEC. This report describes each change to the 1993 MEC, and its impact. Referenced publications are also listed along with discrepancies between code changes approved in the 1994 and 1995 code-change cycles and what actually appears in the 1995 MEC.

  13. Treatability studies on different refinery wastewater samples using high-throughput microbial electrolysis cells (MECs)

    E-Print Network [OSTI]

    Treatability studies on different refinery wastewater samples using high-throughput microbial, University Park, PA 16802, USA h i g h l i g h t s Refinery wastewaters were tested as fuels in MECs effective for treatment or pre-treatment of some refinery wastewaters. The best way to start up MECs

  14. Measuring Energy Achievements | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOil & GasTechnical Publications »ofHydrogenEnergy 8,Measuring

  15. 2010 Manufacturing Energy and Carbon Footprints: Definitions...

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

    key terms and details assumptions and references used in the Manufacturing Energy and Carbon Footprints (2010 MECS) Definitions and Assumptions for the Manufacturing Energy and...

  16. Fee Title: Renewable Energy Fee Measure #: Measure 44

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    Fee Title: Renewable Energy Fee Measure #: Measure 44 Ballot Information Shall the undergraduates and graduate students of UCSC amend Measure 28, the Renewable Energy fee passed in Spring 2006 as follows: The amendment would allow funds to be used for on-site renewables and energy efficiency projects

  17. UN-Energy-Measuring Energy Access | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLC Place: Dallas,UGI Utilities ElectricEnergy-Measuring

  18. Glass and Glass Products (2010 MECS) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdf Flash2006-52.pdf0.pdfDepartmentCounselGlass Coating Makes Solar Panels MoreGlass and

  19. Sandia Energy - Phasor Measurement Units

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

    Phasor Measurement Units Home Stationary Power Grid Modernization Cyber Security for Electric Infrastructure Phasor Measurement Units Phasor Measurement Unitsashoter2015-05-11T21:0...

  20. Sensors & Measurement | Clean Energy | ORNL

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

    and Electronics Systems Research Sustainable Electricity Systems Biology Transportation Clean Energy Home | Science & Discovery | Clean Energy | Research Areas | Sensors &...

  1. Posgrado en Investigacin Matemtica, Universidad Complutense de Madrid, Mencin de Calidad MEC (MDC 2006-00482)

    E-Print Network [OSTI]

    Tradacete, Pedro

    Posgrado en Investigación Matemática, Universidad Complutense de Madrid, Mención de Calidad MEC estudios de doctorado con Mención de Calidad y por el IMI. Este curso no tiene gastos de matriculación

  2. Posgrado en Investigacin Matemtica, Universidad Complutense de Madrid, Mencin de Calidad MEC (MDC 2006-00482)

    E-Print Network [OSTI]

    Tradacete, Pedro

    Posgrado en Investigación Matemática, Universidad Complutense de Madrid, Mención de Calidad MEC visitantes en estudios de doctorado con Mención de Calidad y por el IMI. Este curso no tiene gastos de

  3. Posgrado en Investigacin Matemtica, Universidad Complutense de Madrid, Mencin de Calidad MEC (MDC 2006-00482)

    E-Print Network [OSTI]

    Tradacete, Pedro

    Posgrado en Investigación Matemática, Universidad Complutense de Madrid, Mención de Calidad MEC Mención de Calidad (pendiente de confirmación) y por el IMI. Este curso no tiene gastos de matriculación

  4. Posgrado en Investigacin Matemtica, Universidad Complutense de Madrid, Mencin de Calidad MEC (MDC 2006-00482)

    E-Print Network [OSTI]

    Tradacete, Pedro

    Posgrado en Investigación Matemática, Universidad Complutense de Madrid, Mención de Calidad MEC convocatoria de ayudas de movilidad de profesores visitantes en estudios de doctorado con Mención de Calidad y

  5. Measuring Energy Efficiency Report in Html: Table of Contents

    U.S. Energy Information Administration (EIA) Indexed Site

    Report: Measuring Energy Efficiency in the U.S. Economy Measuring Energy Efficiency In The United States' Economy: A Beginning Measuring Energy Efficiency in the United States'...

  6. Development of Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Iron and Steel Sector

    E-Print Network [OSTI]

    Xu, T.T.

    2011-01-01T23:59:59.000Z

    EIA) Manufacturing Energy Consumption Survey (MECS) ModelEIA), 2005. 2002 Manufacturing Energy Consumption Survey onEIA), 2009. 2006 Manufacturing Energy Consumption Survey on

  7. Paleomagnetic Measurements | 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, searchOfRoseConcernsCompanyPCN Technology Jump2011) | Open Energy

  8. Alternative Energy Leadership Study Measuring Performance

    E-Print Network [OSTI]

    Franssen, Michael

    Alternative Energy Leadership Study Measuring Performance Through a Multidisciplinary Lens February and a major cause of pollution, scientists and engineers have sought for decades to develop alternative energy to alternative energy-related research is critical for understanding the potential solutions emerging from

  9. Sandia Energy - Arctic Climate Measurements

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > TheNuclear Press ReleasesInApplied & Computational Math Home

  10. Manufacturing Energy Bandwidth Studies: Chemical, Peroleum Refining, Pulp and Paer, and Iron and Steel Sectors

    E-Print Network [OSTI]

    Brueske, S.; Cresko, J.; Capenter, A.

    2014-01-01T23:59:59.000Z

    on the chemical product results and other energy consumption details can be found in the bandwidth studies. MECS Data/Energy Footprints A large range of sources were consulted to provide data and insight on the manufacturing process and product energy... Consumption Survey (MECS) data, for the latest survey year of 2010 [1]. MECS is a national sample survey of U.S. manufacturing establishments conducted every four years. Information is collected and reported on U.S. manufacturing energy consumption...

  11. Measuring energy savings for modernization projects

    SciTech Connect (OSTI)

    Cowan, J.D. [Cowan Quality Buildings, Toronto, Ontario (Canada); Schiller, S. [Schiller Associates, Oakland, CA (United States)]|[Schiller Associates, Boulder, OH (United States)

    1997-08-01T23:59:59.000Z

    Energy savings are often used to help finance a facility`s modernization program. The process of determining these savings has come under the microscope as facility owners often pay energy service companies based on savings measurements. Unfortunately, financiers and facility owners usually do not appreciate that determination of savings is an Art, subject to discretion. To them, savings are determined by accountants subtracting one year`s costs from another year`s costs. For those wishing to properly quantify avoided cost, engineering judgments must be added to this simplistic subtraction process. How do you measure something you don`t have? This is the challenge in measuring energy savings. The absence of energy use cannot be measured. However, energy savings can be determined indirectly, using measurements of the presence of energy use, engineering judgment and analysis. This article summarizes the state of the art in savings measurement, particularly as it may be applied by an energy service company (ESCO) in an energy performance contract.

  12. ARM - Measurement - Surface energy balance

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadap Documentation TDMADAP : XDCnarrowbandheat flux ARM Data Discovery Browseenergy balance ARM

  13. Time-Energy Costs of Quantum Measurements

    E-Print Network [OSTI]

    Chi-Hang Fred Fung; H. F. Chau

    2014-05-08T23:59:59.000Z

    Time and energy of quantum processes are a tradeoff against each other. We propose to ascribe to any given quantum process a time-energy cost to quantify how much computation it performs. Here, we analyze the time-energy costs for general quantum measurements, along a similar line as our previous work for quantum channels, and prove exact and lower bound formulae for the costs. We use these formulae to evaluate the efficiencies of actual measurement implementations. We find that one implementation for a Bell measurement is optimal in time-energy. We also analyze the time-energy cost for unambiguous state discrimination and find evidence that only a finite time-energy cost is needed to distinguish any number of states.

  14. Sandia Energy - Phasor Measurement Units

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

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

  15. Procedure to Measure Indoor Lighting Energy Performance

    SciTech Connect (OSTI)

    Deru, M.; Blair, N.; Torcellini, P.

    2005-10-01T23:59:59.000Z

    This document provides standard definitions of performance metrics and methods to determine them for the energy performance of building interior lighting systems. It can be used for existing buildings and for proposed buildings. The primary users for whom these documents are intended are building energy analysts and technicians who design, install, and operate data acquisition systems, and who analyze and report building energy performance data. Typical results from the use of this procedure are the monthly and annual energy used for lighting, energy savings from occupancy or daylighting controls, and the percent of the total building energy use that is used by the lighting system. The document is not specifically intended for retrofit applications. However, it does complement Measurement and Verification protocols that do not provide detailed performance metrics or measurement procedures.

  16. Labor and energy impacts of energy-conservation measures

    SciTech Connect (OSTI)

    Not Available

    1980-01-01T23:59:59.000Z

    Three papers are presented discussing the labor and energy impacts of energy-conservation measures, namely: Generation of the Industry/Occupation Wage Matrix and Related Matters, by Carole Green; Job Shifts from Energy Conservation (Salary Distribution Effects), by Robert A. Herendeen; and Energy and Labor Implication of Improving Thermal Integrity of New Houses, by John Joseph Nangle. A separate abstract was prepared for each paper.

  17. How energy conservation limits our measurements

    E-Print Network [OSTI]

    Miguel Navascues; Sandu Popescu

    2014-04-25T23:59:59.000Z

    Observations in Quantum Mechanics are subject to complex restrictions arising from the principle of energy conservation. Determining such restrictions, however, has been so far an elusive task, and only partial results are known. In this paper we discuss how constraints on the energy spectrum of a measurement device translate into limitations on the measurements which we can effect on a target system with non-trivial energy operator. We provide efficient algorithms to characterize such limitations and we quantify them exactly when the target is a two-level quantum system. Our work thus identifies the boundaries between what is possible or impossible to measure, i.e., between what we can see or not, when energy conservation is at stake.

  18. INDOOR AIR QUALITY MEASUREMENTS IN ENERGY EFFICIENT BUILDINGS

    E-Print Network [OSTI]

    Hollowell, C.D.

    2011-01-01T23:59:59.000Z

    Quality Measurements in Energy Efficient Buildings Craig D.Quality ~leasurements in Energy Efficient Buildings Craig D.Gregory W. Traynor Energy Efficient Buildings Program Energy

  19. Posgrado en Investigacin Matemtica, Universidad Complutense de Madrid, Mencin de Calidad MEC (MDC 2006-00482)

    E-Print Network [OSTI]

    Tradacete, Pedro

    Posgrado en Investigación Matemática, Universidad Complutense de Madrid, Mención de Calidad MEC gran calidad y resolución. La visión por ordenador es una disciplina científica que estudia la manera Mención de Calidad Este curso no tienen gastos de matriculación siendo libre la asistencia. A los

  20. Measuring Income and Projecting Energy Use

    SciTech Connect (OSTI)

    Pitcher, Hugh M.

    2009-11-01T23:59:59.000Z

    Abstract: Energy is a key requirement for a healthy, productive life and a major driver of the emissions leading to an increasingly warm planet. The implications of a doubling and redoubling of per capita incomes over the remainder of this century for energy use are a critical input into understanding the magnitude of the carbon management problem. A substantial controversy about how the Special Report on Emssions Scenarios (SRES) measured income and the potential implications of how income was measured for long term levels of energy use is revisited again in the McKibbin, Pearce and Stegman article appearing elsewhere in this issue. The recent release of a new set of purchasing power estimates of national income, and the preparations for creating new scenarios to support the IPCC’s fifth assessment highlight the importance of the issues which have arisen surrounding income and energy use. Comparing the 1993 and 2005 ICP results on Purchasing Power Parity (PPP) based measures of income reveals that not only do the 2005 ICP estimates share the same issue of common growth rates for real income as measured by PPP and US $, but the lack of coherence in the estimates of PPP incomes, especially for developing countries raises yet another obstacle to resolving the best way to measure income. Further, the common use of an income term to mediate energy demand (as in the Kaya identity) obscures an underlying reality about per capita energy demands, leading to unreasonable estimates of the impact of changing income measures and of the recent high GDP growth rates in India and China. Significant new research is required to create both a reasonable set of GDP growth rates and long term levels of energy use.

  1. Neutron scattering measurements at intermediate energies

    E-Print Network [OSTI]

    N. Olsson; J. Blomgren; E. Ramstrom

    The study of elastic neutron scattering at intermediate energies is essential for the understanding of the isovector term in the nucleon-nucleus interaction, as well as for the development of macroscopic and microscopic optical potentials at these energies. The techniques used for neutron scattering measurements is presented in this paper, as well as the di culties encountered. The few facilities that have been used are reviewed, and a newly installed setup for such measurements in Uppsala is described. Finally, the normalization problem is speci cally addressed. 1

  2. M&V Guidelines: Measurement and Verification for Federal Energy...

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

    M&V Guidelines: Measurement and Verification for Federal Energy Projects (Version 3.0) Draft M&V Guidelines: Measurement and Verification for Federal Energy Projects...

  3. NEMVP: North American energy measurement and verification protocol

    SciTech Connect (OSTI)

    NONE

    1996-03-01T23:59:59.000Z

    This measurement and verification protocol discusses procedures that,when implemented, allow buyers, sellers, and financiers of energy projects to quantify energy conservation measure performance and savings.

  4. SciTech Connect: Energy Efficiency Measures to Incorporate into...

    Office of Scientific and Technical Information (OSTI)

    Energy Efficiency Measures to Incorporate into Remodeling Projects Citation Details In-Document Search Title: Energy Efficiency Measures to Incorporate into Remodeling Projects...

  5. Energy Savings Measure Packages: Existing Homes

    SciTech Connect (OSTI)

    Casey, S.; Booten, C.

    2011-11-01T23:59:59.000Z

    This document presents the most cost effective Energy Savings Measure Packages (ESMP) for existing mixed-fuel and all electric homes to achieve 15% and 30% savings for each BetterBuildings grantee location across the US. These packages are optimized for minimum cost to homeowners for given source energy savings given the local climate and prevalent building characteristics (i.e. foundation types). Maximum cost savings are typically found between 30% and 50% energy savings over the reference home. The dollar value of the maximum annual savings varies significantly by location but typically amounts to $300 - $700/year.

  6. Pulse energy measurement at the SXR instrument

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

    Moeller, Stefan; Brown, Garth; Dakovski, Georgi; Hill, Bruce; Holmes, Michael; Loos, Jennifer; Maida, Ricardo; Paiser, Ernesto; Schlotter, William; Turner, Joshua J.; et al

    2015-05-01T23:59:59.000Z

    A gas monitor detector was implemented and characterized at the Soft X-ray Research (SXR) instrument to measure the average, absolute and pulse-resolved photon flux of the LCLS beam in the energy range between 280 and 2000 eV. The detector is placed after the monochromator and addresses the need to provide reliable absolute pulse energy as well as pulse-resolved measurements for the various experiments at this instrument. This detector provides a reliable non-invasive measurement for determining flux levels on the samples in the downstream experimental chamber and for optimizing signal levels of secondary detectors and for the essential need of datamore »normalization. The design, integration into the instrument and operation are described, and examples of its performance are given.« less

  7. Sandia Energy - Climate Measurement & Modeling

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > TheNuclear Press ReleasesInApplied &Climate Measurement &

  8. Geothermal Properties Measurement Tool | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A PotentialJumpGermanFifeGEXAGarnetInformationProperties Measurement Tool

  9. Scheduling-shutdown-2014-MEC v4 web.xlsx

    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 PossibleRadiationImplementingnpitcheResearch Briefs TheSanketPlease contact the beamlineAug 14 1 2

  10. Computers, Electronics and Electrical Equipment (2010 MECS) | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube platformBuildingCoalComplex Flow Workshop ReportJungle | Department ofEnergy

  11. Productivity benefits of industrial energy efficiency measures

    E-Print Network [OSTI]

    Worrell, Ernst

    2011-01-01T23:59:59.000Z

    linkage between energy efficiency and productivity. Energyand increased energy efficiency in integrated paper andand Office of Energy Efficiency and Renewable Energy, 1997.

  12. Productivity benefits of industrial energy efficiency measures

    E-Print Network [OSTI]

    Worrell, Ernst

    2011-01-01T23:59:59.000Z

    the linkage between energy efficiency and productivity.and increased energy efficiency in integrated paper andand Office of Energy Efficiency and Renewable Energy, 1997.

  13. Measurable Maximal Energy and Minimal Time Interval

    E-Print Network [OSTI]

    Eiman Abou El Dahab; Abdel Nasser Tawfik

    2014-01-14T23:59:59.000Z

    The possibility of finding the measurable maximal energy and the minimal time interval is discussed in different quantum aspects. It is found that the linear generalized uncertainty principle (GUP) approach gives a non-physical result. Based on large scale Schwarzshild solution, the quadratic GUP approach is utilized. The calculations are performed at the shortest distance, at which the general relativity is assumed to be a good approximation for the quantum gravity and at larger distances, as well. It is found that both maximal energy and minimal time have the order of the Planck time. Then, the uncertainties in both quantities are accordingly bounded. Some physical insights are addressed. Also, the implications on the physics of early Universe and on quantized mass are outlined. The results are related to the existence of finite cosmological constant and minimum mass (mass quanta).

  14. Measurements of PM Traps | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment3311, 3312), October 20122Technologies |Measurements of PM Traps

  15. Industrial Geospatial Analysis Tool for Energy Evaluation

    E-Print Network [OSTI]

    Alkadi, N.; Starke, M.; Ma, O.; Nimbalkar, S.; Cox, D.; Dowling, K.; Johnson, B.; Khan, S.

    2013-01-01T23:59:59.000Z

    of manufacturing industries based on each type of industries using information from DOE's Industrial Assessment Center database (IAC-DB) and DOE's Energy Information Administration Manufacturing Energy Consumption Survey database (EIA-MECS DB), in addition...

  16. Sandia Energy - Direct Measurement of Key Molecule Will Increase...

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

    Direct Measurement of Key Molecule Will Increase Accuracy of Combustion Models Home Energy Transportation Energy CRF Facilities News News & Events Computational Modeling &...

  17. Productivity benefits of industrial energy efficiency measures

    E-Print Network [OSTI]

    Worrell, Ernst

    2011-01-01T23:59:59.000Z

    Energy Research Foundation, Petten, The Netherlands (1997).Energy Research Foundation, Petten, The Netherlands (1995).

  18. M&V Guidelines: Measurement and Verification for Federal Energy...

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

    M&V Guidelines: Measurement and Verifi cation for Federal Energy Projects Version 3.0 M&V Guidelines: Measurement and Verification for Federal Energy Projects Version 3.0 Prepared...

  19. M&V Guidelines: Measurement and Verification for Federal Energy...

    Office of Environmental Management (EM)

    M&V Guidelines: Measurement and Verification for Federal Energy Projects (Version 3.0) M&V Guidelines: Measurement and Verification for Federal Energy Projects (Version 3.0)...

  20. Plant Level Energy Performance Benchmarking

    E-Print Network [OSTI]

    Hicks, T. W.

    then be used to construct models that may act as the basis for assessing individual plant performance relative to a peer group. Database Manufacturing Energy Consumption Survey The Manufacturing Energy Consumption Survey (MECS), administered by the EIA....S. economy as defined by the Office of Management and Budget. With a sample size of 22,173 establishments, the MECS was undertaken to represent approximately 250,000 of the largest manufacturing establishments which translates to roughly 98 percent...

  1. Measured energy performance of a US-China demonstration energy-efficient office building

    E-Print Network [OSTI]

    Xu, Peng; Huang, Joe; Jin, Ruidong; Yang, Guoxiong

    2006-01-01T23:59:59.000Z

    good benchmark energy consumption data for buildings, and (total energy consumption Although the measured data arelimited data available for building energy consumption in

  2. M&V Guidelines: Measurement and Verification for Federal Energy...

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

    M&V Guidelines: Measurement and Verification for Federal Energy Projects Version 4.0 Prepared for the U.S. Department of Energy Federal Energy Management Program By

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

    E-Print Network [OSTI]

    Coakley, Daniel; Raftery, Paul; Keane, Marcus

    2014-01-01T23:59:59.000Z

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

  4. Implementation and Rejection of Industrial Steam System Energy Efficiency Measures

    SciTech Connect (OSTI)

    Therkelesen, Peter; McKane, Aimee

    2013-05-01T23:59:59.000Z

    Steam systems consume approximately one third of energy applied at U.S. industrial facilities. To reduce energy consumption, steam system energy assessments have been conducted on a wide range of industry types over the course of five years through the Energy Savings Assessment (ESA) program administered by the U.S. Department of Energy (U.S. DOE). ESA energy assessments result in energy efficiency measure recommendations that are given potential energy and energy cost savings and potential implementation cost values. Saving and cost metrics that measure the impact recommended measures will have at facilities, described as percentages of facility baseline energy and energy cost, are developed from ESA data and used in analyses. Developed savings and cost metrics are examined along with implementation and rejection rates of recommended steam system energy efficiency measures. Based on analyses, implementation of steam system energy efficiency measures is driven primarily by cost metrics: payback period and measure implementation cost as a percentage of facility baseline energy cost (implementation cost percentage). Stated reasons for rejecting recommended measures are primarily based upon economic concerns. Additionally, implementation rates of measures are not only functions of savings and cost metrics, but time as well.

  5. Energy measurement utilizing on-line chromatograph

    SciTech Connect (OSTI)

    Kizer, P.E. [Applied Automation, Inc./Hartmann and Braun, Houston, TX (United States)

    1995-12-01T23:59:59.000Z

    Most gas contracts today have at least a BTU specification and many use MMBTU (million BTU) rather than gas volume for custody transfer measurement. Gas chromatography is today being chosen more and more because the calculations of the gas volumes in modem electronic flow meters requires not only BTU{sub 5} information, but specific gravity, Mol % CO{sub 2} and Mol % N{sub 2}. The new AGA-8 supercompressibility equations also require a complete hydrocarbon analysis. What then, is a BTU? BTU is the acronym for British Thermal Unit. One BTU is the quantity of heat required to raise the temperature of one pound of water from 58.5{degrees}F to 59.5{degrees}F (about 1055.056 joules (SI))3. The higher the BTU content, the more energy can be obtained from burning the gas. It just doesn`t take as many cubic feet of gas to heat the home hot water tank if the gas is 1090 BTU instead of 940 BTU per SCF. The BTU, then, is a prime indicator of natural gas quality. An MMBTU{sup 2} is calculated by: BTU/CF * MMCF = MMBTU What is it worth to keep track of the natural gas BTU? If we postulate 1000 BTU/CF as fairly average for natural gas, and {+-} 5% error between doing a lab determination of the heating value on a spot sample of the gas and an on- line (nearly continuous) monitor of the heating value, this results in a {+-} 50 BTU difference. On a station that has 50 MMCF per day at $2.50 per MCF or MMBTU, this is $125,000.00 worth of gas per day. Five percent of this is $6,250.00 per day. If a process chromatograph, $50,000 installed cost, is used to determine the energy content a pay out of less than 10 days is obtained on a 50 MMCF/day station. Most major interconnects have on- line BTU measurement of some sort today.

  6. Measuring Energy Efficiency Improvements in Industrial Battery Chargers

    E-Print Network [OSTI]

    Matley, R.

    Measuring Energy Efficiency Improvements in Industrial Battery Chargers Ryan Matley, Sr. Program Manager, Pacific Gas and Electric Company, San Francisco, CA ABSTRACT Industrial battery chargers have provided the energy requirements... to 100 GWh per year. There are three areas of energy losses in the battery and charger system: ? Power Conversion Efficiency (energy out of charger vs. energy into charger) ? Charge Return (energy out of battery vs. energy into battery): some...

  7. Evalutaion of Energy Efficiency Measures for K-12 

    E-Print Network [OSTI]

    Hyojin, K; Haberl, J. S.; Baltazar, J.C.; Mukhopadhyay, J.; Do, S.; Kim, K.; Lewis, C.; Yazdani, B.

    2011-01-01T23:59:59.000Z

    Introduction Methodology Base-Case School Model 18 EE/RE Measures Results Summary Energy Efficiency/Renewable Energy (EE/RE) Measures for K-12 Schools CATEE 2011 Nov. 7 ? 9, 2011 3 Introduction Energy Saving Potential in High... Performance Schools ? Energy use of the most efficient schools = 1/3 of the least efficient schools (EPA 2010) ? 20% to 40% energy savings in high performance schools (Im and Haberl 2006) Elementary...

  8. From free energy measurements to free energy inference in small systems Felix Ritort

    E-Print Network [OSTI]

    Potsdam, Universität

    From free energy measurements to free energy inference in small systems the knowledge of the free energy of nucleic acid and protein structures the free energy of pure equilibrium states, FTs have been extended

  9. Ratcheting up energy by means of measurement

    E-Print Network [OSTI]

    L. S. Schulman; B. Gaveau

    2006-11-15T23:59:59.000Z

    The destruction of quantum coherence can pump energy into a system. For our examples this is paradoxical since the destroyed correlations are ordinarily considered negligible. Mathematically the explanation is straightforward and physically one can identify the degrees of freedom supplying this energy. Nevertheless, the energy input can be calculated without specific reference to those degrees of freedom.

  10. Energy Conservation Measures at an Automotive Instructional Facility 

    E-Print Network [OSTI]

    Godsey, F. W.

    1989-01-01T23:59:59.000Z

    Energy consumption and costs to operate an automotive technical training facility at Texas State Technical Institute in Waco have been significantly reduced through implementation of several energy conservation measures. This paper reviews building...

  11. A Methodology to Measure Retrofit Energy Savings in Commercial Buildings 

    E-Print Network [OSTI]

    Kissock, John Kelly

    2008-01-16T23:59:59.000Z

    . This dissertation develops a methodology to measure retrofit energy savings and the uncertainty of the savings in commercial buildings. The functional forms of empirical models of cooling and heating energy use in commercial buildings are derived from an engineering...

  12. Energy Conservation Measures at an Automotive Instructional Facility

    E-Print Network [OSTI]

    Godsey, F. W.

    1989-01-01T23:59:59.000Z

    Energy consumption and costs to operate an automotive technical training facility at Texas State Technical Institute in Waco have been significantly reduced through implementation of several energy conservation measures. This paper reviews building...

  13. Using Wireless Power Meters to Measure Energy Use of

    E-Print Network [OSTI]

    Culler, David E.

    by the Assistant Secretary for Energy Efficiency and Renewable Energy, Office of Technology Development, Building-term energy used by a large sample of devices due to the difficulty and expense of collecting deviceUsing Wireless Power Meters to Measure Energy Use of Miscellaneous and Electronic Devices

  14. Procedure for Measuring and Reporting Commercial Building Energy Performance

    SciTech Connect (OSTI)

    Barley, D.; Deru, M.; Pless, S.; Torcellini, P.

    2005-10-01T23:59:59.000Z

    This procedure is intended to provide a standard method for measuring and characterizing the energy performance of commercial buildings. The procedure determines the energy consumption, electrical energy demand, and on-site energy production in existing commercial buildings of all types. The performance metrics determined here may be compared against benchmarks to evaluate performance and verify that performance targets have been achieved.

  15. Cost effectiveness of the 1995 model energy code in Massachusetts

    SciTech Connect (OSTI)

    Lucas, R.G.

    1996-02-01T23:59:59.000Z

    This report documents an analysis of the cost effectiveness of the Council of American Building Officials` 1995 Model Energy Code (MEC) building thermal-envelope requirements for single-family houses and multifamily housing units in Massachusetts. The goal was to compare the cost effectiveness of the 1995 MEC to the energy conservation requirements of the Massachusetts State Building Code-based on a comparison of the costs and benefits associated with complying with each.. This comparison was performed for three cities representing three geographical regions of Massachusetts--Boston, Worcester, and Pittsfield. The analysis was done for two different scenarios: a ``move-up`` home buyer purchasing a single-family house and a ``first-time`` financially limited home buyer purchasing a multifamily condominium unit. Natural gas, oil, and electric resistance heating were examined. The Massachusetts state code has much more stringent requirements if electric resistance heating is used rather than other heating fuels and/or equipment types. The MEC requirements do not vary by fuel type. For single-family homes, the 1995 MEC has requirements that are more energy-efficient than the non-electric resistance requirements of the current state code. For multifamily housing, the 1995 MEC has requirements that are approximately equally energy-efficient to the non-electric resistance requirements of the current state code. The 1995 MEC is generally not more stringent than the electric resistance requirements of the state code, in fact; for multifamily buildings the 1995 MEC is much less stringent.

  16. Measurement and Verification for Federal Energy Savings Performance Contracts

    Broader source: Energy.gov [DOE]

    Measurement and verification (M&V) activities help agencies confirm that legally and contractually required savings guarantees are met in federal energy savings performance contracts (ESPCs).

  17. Policies and Measures to Realise Industrial Energy Efficiency...

    Open Energy Info (EERE)

    Resource Type: Publications Website: www.unido.orgfileadminusermediaPublicationsPubfreeUNEnergy2009P Policies and Measures to Realise Industrial Energy Efficiency and...

  18. Uncertainty Estimation Improves Energy Measurement and Verification Procedures

    SciTech Connect (OSTI)

    Walter, Travis; Price, Phillip N.; Sohn, Michael D.

    2014-05-14T23:59:59.000Z

    Implementing energy conservation measures in buildings can reduce energy costs and environmental impacts, but such measures cost money to implement so intelligent investment strategies require the ability to quantify the energy savings by comparing actual energy used to how much energy would have been used in absence of the conservation measures (known as the baseline energy use). Methods exist for predicting baseline energy use, but a limitation of most statistical methods reported in the literature is inadequate quantification of the uncertainty in baseline energy use predictions. However, estimation of uncertainty is essential for weighing the risks of investing in retrofits. Most commercial buildings have, or soon will have, electricity meters capable of providing data at short time intervals. These data provide new opportunities to quantify uncertainty in baseline predictions, and to do so after shorter measurement durations than are traditionally used. In this paper, we show that uncertainty estimation provides greater measurement and verification (M&V) information and helps to overcome some of the difficulties with deciding how much data is needed to develop baseline models and to confirm energy savings. We also show that cross-validation is an effective method for computing uncertainty. In so doing, we extend a simple regression-based method of predicting energy use using short-interval meter data. We demonstrate the methods by predicting energy use in 17 real commercial buildings. We discuss the benefits of uncertainty estimates which can provide actionable decision making information for investing in energy conservation measures.

  19. Superior Energy Performance Measurement and Verification Protocol...

    Energy Savers [EERE]

    Energy Performance SEP and ISO 50001 Certification Process The Business Case for SEP Case Studies Certified Facilities Toolbox and Expertise About SEP About ISO 50001 Contact...

  20. A New, Stochastic, Energy Model of the U.S. is Under Construction: SEDS and Its Industrial Structure

    E-Print Network [OSTI]

    Roop, J. M.

    -duty vehicles and heavy-duty vehicles. The industrial sector is currently modeled as a single sector, using the latest Manufacturing Energy Consumption Survey (MECS) to calibrate energy consumption to end-use energy categories: boilers, process heating...

  1. ACT2 Project: Measuring Energy Savings

    E-Print Network [OSTI]

    Krieg, B. L.; Baker, M.

    efficiency at the pilot demonstration site has been selected, and an energy monitoring system is being designed. The paper describes the pilot site design, the proposed monitoring system and the data processing and analysis system which will be used...

  2. Energy Measurement and Strategy for a Trigger of Ultra High Energy Cosmic

    E-Print Network [OSTI]

    Erdmann, Martin

    Energy Measurement and Strategy for a Trigger of Ultra High Energy Cosmic Rays Measured with Radio Ray induced Air Showers 3 2.1 Physics of Ultra High Energy Cosmic Rays . . . . . . . . . . . . . . . 3 2.1.1 Energy Spectrum . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.1.2 Composition

  3. Adoption of energy-efficiency measures in SMEs An empirical analysis based on energy audit data

    E-Print Network [OSTI]

    Boyer, Edmond

    Adoption of energy-efficiency measures in SMEs ­ An empirical analysis based on energy audit data;Abstract This paper empiricallyinvestigates the factors driving the adoption of energy-efficiency measures on barriers to energy efficiency in SMEs. More specifically, high investment costs, which are captured

  4. Assessment of Impacts from Updating Iowa's Residential Energy Code to Comply with the 2003 International Energy Conservation Code

    SciTech Connect (OSTI)

    Lucas, Robert G.

    2003-10-31T23:59:59.000Z

    The state of Iowa currently requires that new buildings comply with the Council of American Building Officials? (CABO) 1992 Model Energy Code (MEC) (CABO 1992). CABO has been transformed into the International Code Council (ICC) and the MEC has been renamed the International Energy Conservation Code (IECC). The most recent edition of the code is the 2003 IECC (ICC 2003). Iowa?s Department of Natural Resources requested that the U.S. Department of Energy (DOE) compare the 1992 MEC with the 2003 IECC to estimate impacts from updating Iowa?s residential energy code to comply with the new code. Under DOE's direction, Pacific Northwest National Laboratory (PNNL) completed an assessment of the impacts from this potential code upgrade, including impacts on construction and energy consumption costs. This report is an update to a similar report completed by PNNL in 2002 (Lucas 2002) that compared the 1992 MEC to the 2000 IECC.

  5. Measuring energy efficiency in the United States` economy: A beginning

    SciTech Connect (OSTI)

    NONE

    1995-10-01T23:59:59.000Z

    Energy efficiency is a vital component of the Nation`s energy strategy. One of the Department of Energy`s missions are to promote energy efficiency to help the Nation manage its energy resources. The ability to define and measure energy efficiency is essential to this objective. In the absence of consistent defensible measures, energy efficiency is a vague, subjective concept that engenders directionless speculation and confusion rather than insightful analysis. The task of defining and measuring energy efficiency and creating statistical measures as descriptors is a daunting one. This publication is not a final product, but is EIA`s first attempt to define and measure energy efficiency in a systematic and robust manner for each of the sectors and the United States economy as a whole. In this process, EIA has relied on discussions, customer reviews, in-house reviews, and seminars that have focused on energy efficiency in each of the sectors. EIA solicits the continued participation of its customers in further refining this work.

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

    SciTech Connect (OSTI)

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

    1997-12-31T23:59:59.000Z

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

  7. NREL: Technology Deployment - Net Zero Energy and Energy Security Measures

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

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

  8. Distributed Energy: Modeling Penetration in Industrial Sector Over the Long-Term

    E-Print Network [OSTI]

    Greening, L.

    2006-01-01T23:59:59.000Z

    -established industrial energy model, ITEMS (Industrial Technology and Energy Modeling System), and is calibrated to MECS 1994 and 1998. However, as compared to ITEMS, MARKAL is an optimization framework. And, this particular version of MARKAL has a forecast horizon...

  9. SEE Action Webinar on Energy Efficiency Measure Cost Studies

    Broader source: Energy.gov [DOE]

    Presented by State and Local Energy Efficiency Action Network (SEE Action), this webinar will explain the importance of measure cost studies, review the current "state of the science" of measure cost development and estimation, and explore opportunities for future collaboration and advancement of measure cost research.

  10. Category:Paleomagnetic Measurements | 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, click here. Category:Conceptual ModelLists forMercurysource History

  11. Extrans - Permeation Measurement System - Energy Innovation Portal

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist. Category UC-l 1,EnergyExploringGamma-ray Attenuation up to

  12. Measuring Standby Power | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOil & GasTechnical Publications »ofHydrogenEnergyEnergy-Efficient

  13. Standardization of Transport Properties Measurements: Internal Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideo »UsageSecretaryVideosSpring O&M UsersEnergy STD-5507-2013Agency

  14. Integrating Empirical Measures of Energy Efficiency into an Energy Modeling Framework

    E-Print Network [OSTI]

    Boyd, G.

    2006-01-01T23:59:59.000Z

    Integrating Empirical Measures of Energy Efficiency Into An Energy Modeling Framework Gale Boyd, Argonne National Laboratory Tools such as Data Envelopment Analysis and Stochastic Frontier Regressions provide a basis for empirical measures... of efficiency. The definition of efficiency these tools encompass can be as broadly defined as total factor productivity, or narrowly defined in terms of single inputs like energy. Given the ability to generate empirical measures of energy efficiency...

  15. Nuclear symmetry energy at subnormal densities from measured nuclear masses

    E-Print Network [OSTI]

    Min Liu; Ning Wang; Zhuxia Li; Fengshou Zhang

    2010-11-17T23:59:59.000Z

    The symmetry energy coefficients for nuclei with mass number A=20~250 are extracted from more than 2000 measured nuclear masses. With the semi-empirical connection between the symmetry energy coefficients of finite nuclei and the nuclear symmetry energy at reference densities, we investigate the density dependence of symmetry energy of nuclear matter at subnormal densities. The obtained results are compared with those extracted from other methods.

  16. A Framework for Comparative Assessments of Energy Efficiency Policy Measures

    SciTech Connect (OSTI)

    Blum, Helcio; Atkinson, Barbara; Lekov, Alex

    2011-05-24T23:59:59.000Z

    When policy makers propose new policies, there is a need to assess the costs and benefits of the proposed policy measures, to compare them to existing and alternative policies, and to rank them according to their effectiveness. In the case of equipment energy efficiency regulations, comparing the effects of a range of alternative policy measures requires evaluating their effects on consumers’ budgets, on national energy consumption and economics, and on the environment. Such an approach should be able to represent in a single framework the particularities of each policy measure and provide comparable results. This report presents an integrated methodological framework to assess prospectively the energy, economic, and environmental impacts of energy efficiency policy measures. The framework builds on the premise that the comparative assessment of energy efficiency policy measures should (a) rely on a common set of primary data and parameters, (b) follow a single functional approach to estimate the energy, economic, and emissions savings resulting from each assessed measure, and (c) present results through a set of comparable indicators. This framework elaborates on models that the U.S. Department of Energy (DOE) has used in support of its rulemakings on mandatory energy efficiency standards. In addition to a rigorous analysis of the impacts of mandatory standards, DOE compares the projected results of alternative policy measures to those projected to be achieved by the standards. The framework extends such an approach to provide a broad, generic methodology, with no geographic or sectoral limitations, that is useful for evaluating any type of equipment energy efficiency market intervention. The report concludes with a demonstration of how to use the framework to compare the impacts estimated for twelve policy measures focusing on increasing the energy efficiency of gas furnaces in the United States.

  17. Does the measured value of the Planck constant depend on the energy of measurements?

    E-Print Network [OSTI]

    Massa, Enrico; Jentschel, Michael

    2011-01-01T23:59:59.000Z

    The measurement of the Avogadro constant opened the way to a comparison of the watt-balance measurements of the Planck constant with the values calculated from the quotients of the Planck constant and the mass of a particle or an atom. Since the energy scales of these measurements span nine energy decades, these data provide insight into the consistency of our understanding of physics.

  18. Sandia Energy - Wake Imaging Measurement System

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

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

  19. Sensors & Measurement | Clean Energy | ORNL

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

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

  20. Performance Measurement of MEAs | 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 Contamination in235-1 TermoelectricaPaving the pathPeople'sTransient and Steady

  1. Certifying Industrial Energy Efficiency Performance: AligningManagement, Measurement, and Practice to Create Market Value

    SciTech Connect (OSTI)

    McKane, Aimee; Scheihing, Paul; Williams, Robert

    2007-07-01T23:59:59.000Z

    More than fifteen years after the launch of programs in theU.K. and U.S., industry still offers one of the largest opportunities forenergy savings worldwide. The International Energy Agency (IEA) estimatesthe savings potential from cost-optimization of industrial motor-drivensystems alone at 7 percent of global electricity use. The U.S. Departmentof Energy (USDOE) Industrial Technologies Program estimates 7 percentsavings potential in total US industrial energy use through theapplication of proven best practice. Simple paybacks for these types ofprojects are frequently two years or less. The technology required toachieve these savings is widely available; the technical skills requiredto identify energy saving opportunities are known and transferable.Although programs like USDOE's Best Practices have been highlysuccessful, most plants, as supported by 2002 MECS data, remain eitherunaware or unmotivated to improve their energy efficiency--as evidencedby the 98 percent of US industrial facilities reporting to MECS say thatthey lack a full-time energy manager. With the renewed interest in energyefficiency worldwide and the emergence of carbon trading and newfinancial instruments such as white certificates1, there is a need tointroduce greater transparency into the way that industrial facilitiesidentify, develop, and document energy efficiency projects. Historically,industrial energy efficiency projects have been developed by plantengineers, frequently with assistance from consultants and/or supplierswith highly specialized technical skills. Under this scenario,implementation of energy efficiency improvements is dependent onindividuals. These individuals typically include "champions" within anindustrial facility or corporation, working in cooperation withconsultants or suppliers who have substantial knowledge based on years ofexperience. This approach is not easily understood by others without thisspecialized technical knowledge, penetrates the market fairly slowly, andhas no assurance of persistence, since champions may leave the company orbe reassigned after project completion.This paper presents an alternatescenario that builds on the body of expert knowledge concerning energymanagement best practices and the experience of industrial champions toengage industry in continuous energy efficiency improvement at thefacility rather than the individual level. Under this scenario,standardized methodologies for applying and validating energy managementbest practices in industrial facilities will be developed through aconsensus process involving both plant personnel and specializedconsultants and suppliers. The resulting protocols will describe aprocess or framework for conducting an energy savings assessment andverifying the results that will be transparent to policymakers, managers,and the financial community, and validated by a third-party organization.Additionally, a global dialogue is being initiated by the United NationsIndustrial Development Organization (UNIDO) concerning the development ofan international industrial energy management standard that would be ISOcompatible. The proposed scenario will combine the resulting standardwith the best practice protocols for specific energy systems (i.e.,steam, process heating, compressed air, pumping systems, etc.) to formthe foundation of a third party, performance-based certification programfor the overall industrial facility that is compatible with existingmanagement systems, including ISO 9001:2000, 14001:2004 and 6 Sigma. Thelong term goal of this voluntary, industry designed certification programis to develop a transparent, globally accepted system for validatingenergy efficiency projects and management practices. This system wouldcreate a verified record of energy savings with potential market valuethat could be recognized among sectors and countries.

  2. Measuring Energy Access: Supporting a Global Target | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose Bend <StevensMcClellan,II Jump to:

  3. Measuring Energy Poverty: Focusing on What Matters | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLu an Group JumpNewMassachusettsMayo PowerMcLeodMead

  4. Negative vacuum energy densities and the causal diamond measure

    SciTech Connect (OSTI)

    Salem, Michael P. [Institute of Cosmology, Department of Physics and Astronomy, Tufts University, Medford, Massachusetts 02155 (United States)

    2009-07-15T23:59:59.000Z

    Arguably a major success of the landscape picture is the prediction of a small, nonzero vacuum energy density. The details of this prediction depend in part on how the diverging spacetime volume of the multiverse is regulated, a question that remains unresolved. One proposal, the causal diamond measure, has demonstrated many phenomenological successes, including predicting a distribution of positive vacuum energy densities in good agreement with observation. In the string landscape, however, the vacuum energy density is expected to take positive and negative values. We find the causal diamond measure gives a poor fit to observation in such a landscape - in particular, 99.6% of observers in galaxies seemingly just like ours measure a vacuum energy density smaller than we do, most of them measuring it to be negative.

  5. Evaluation of Energy Conservation Measures by Model Simulation 

    E-Print Network [OSTI]

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

    1998-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Smith, Graham

    1996-01-01T23:59:59.000Z

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

  7. Nonlinear elastic free energies and gradient Young-Gibbs measures

    E-Print Network [OSTI]

    Roman Kotecký; Stephan Luckhaus

    2012-06-26T23:59:59.000Z

    We investigate, in a fairly general setting, the limit of large volume equilibrium Gibbs measures for elasticity type Hamiltonians with clamped boundary conditions. The existence of a quasiconvex free energy, forming the large deviations rate functional, is shown using a new interpolation lemma for partition functions. The local behaviour of the Gibbs measures can be parametrized by Young measures on the space of gradient Gibbs measures. In view of unboundedness of the state space, the crucial tool here is an exponential tightness estimate that holds for a vast class of potentials and the construction of suitable compact sets of gradient Gibbs measures.

  8. activation energy measurements: Topics by E-print Network

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

    activation energy measurements First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Validating Energy...

  9. Preliminary Analysis of Energy Consumption For Cool Roofing Measures

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    decisions by offering design requirements and establishing building codes. Over the last decade, muchPreliminary Analysis of Energy Consumption For Cool Roofing Measures By Joe Mellott, Joshua New to reduce energy demand by reflecting sunlight away from structures and back into the atmosphere. By use

  10. Energy Efficiency Measures to Incorporate into Remodeling Projects

    SciTech Connect (OSTI)

    Liaukus, C.

    2014-12-01T23:59:59.000Z

    Energy improvements in a home are often approached as one concerted effort, beginning with a simple walk-through assessment or more in-depth energy audit and followed by the installation of recommended energy measures. While this approach allows for systems thinking to guide the efforts, comprehensive energy improvements of this nature are undertaken by a relatively small number of the households in our nation compared to more piecemeal remodeling efforts. Even when programs like the Weatherization Assistance Program and Home Performance with ENERGY STAR are considered, homes that have had a comprehensive energy makeover still represent a small fraction of the 111.1 million households. In this report, the U.S Department of Energy Building America Retrofit Alliance research team looks at the improvement of a home's energy performance in an opportunistic way: it examines what can be done to incorporate energy efficiency measures into general remodeling work and home repair projects. This allows for the possibility for people who would not normally pursue energy efficiency but will remodel their kitchen or re-side their home to improve their home's performance at the same time. There are challenges to this approach, not the least of which being that the work will take place over time in potentially many separate projects. The opportunity to improve a home's energy efficiency at one time expands or contracts with the scope of the remodel. As such, guidance on how to do each piece thoughtfully and with consideration for potential future projects, is critical.

  11. Near-equilibrium measurements of nonequilibrium free energy

    SciTech Connect (OSTI)

    Crooks, Gavin

    2012-04-09T23:59:59.000Z

    A central endeavor of thermodynamics is the measurement of free energy changes. Regrettably, although we can measure the free energy of a system in thermodynamic equilibrium, typically all we can say about the free energy of a nonequilibrium ensemble is that it is larger than that of the same system at equilibrium. Herein, we derive a formally exact expression for the probability distribution of a driven system, which involves path ensemble averages of the work over trajectories of the time-reversed system. From this we find a simple near-equilibrium approximation for the free energy in terms of an excess mean time-reversed work, which can be experimentally measured on real systems. With analysis and computer simulation, we demonstrate the accuracy of our approximations for several simple models.

  12. Energy and Water Conservation Measures for Hanford (2013)

    SciTech Connect (OSTI)

    Reid, Douglas J.; Butner, Ryan S.

    2013-04-01T23:59:59.000Z

    Pacific Northwest National Laboratory (PNNL) performed an energy and water evaluation of selected buildings on the Hanford Site during the months of May and June 2012. The audit was performed under the direction of the U.S. Department of Energy, Sustainability Performance Office to identify key energy conservation measures (ECMs) and water conservation measures (WCMs). The evaluations consisted of on-site facility walk-throughs conducted by PNNL staff, interviews with building-operating personnel, and an examination of building designs and layouts. Information on 38 buildings was collected to develop a list of energy and water conservation measures. Table ES.1 is a summary of the ECMs, while table ES.2 is a summary of the WCMs.

  13. MEASURED ENERGY PERFORMANCE OF ENERGY-EFFICIENT NEW COMMERCIAL BUILDINGS: RESULTS FROM THE BECA-CN DATA COMPILATION

    E-Print Network [OSTI]

    Piette, M.A.

    2010-01-01T23:59:59.000Z

    owners to share energy consumption data. In the future wecompare BECA-CN to energy consumption data for conventionalABSTRACT Measured energy consumption data have been compiled

  14. Predicted versus monitored performance of energy-efficiency measures in new commercial buildings from energy edge

    SciTech Connect (OSTI)

    Piette, M.A.; Nordman, B.; deBuen, O.; Diamond, R.

    1993-08-01T23:59:59.000Z

    Energy Edge is a research-oriented demonstration program involving 28 new commercial buildings in the Pacific Northwest. This paper discusses the energy savings and cost-effectiveness of energy-efficiency measures for the first 12 buildings evaluated using simulation models calibrated with measured end-use data. Average energy savings per building from the simulated code baseline building was 19%, less than the 30% target. The most important factor for the lower savings is that many of the installed measures differ from the measures specified in the design predictions. Only one of the first 12 buildings met the project objective of reducing energy use by more than 30% at a cost below the target of 56 mills/kWh (in 1991 dollars). Based on results from the first 12 calibrated simulation models, 29 of the 66 energy-efficiency measures, or 44%, met the levelized cost criterion. Despite the lower energy savings from individual measures, the energy-use intensities of the buildings are lower than other regional comparison data for new buildings. The authors review factors that contribute to the uncertainty regarding measured savings and suggest methods to improve future evaluations.

  15. U.S. Manufacturing Energy Use and Loss: The Big Picture

    E-Print Network [OSTI]

    Brueske, S.; Sabouni, R.

    2014-01-01T23:59:59.000Z

    developers and government groups. Many organizations have referenced the footprint results in their publications; the Energy Information Administration provides a link to the footprints on the Manufacturing Energy Consumption Survey (MECS)1 homepage... is often one of the most costly and consequential variables for manufacturing facilities. 1 EIA MECS website: http://www.eia.gov/consumption/manufacturing/ 2 The U.S. Census Bureau defines...

  16. High-Energy Laser Diagnostics (HELD) for the Measurement of Diesel...

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

    High-Energy Laser Diagnostics (HELD) for the Measurement of Diesel Particulate Matter High-Energy Laser Diagnostics (HELD) for the Measurement of Diesel Particulate Matter 2004...

  17. Evalutaion of Energy Efficiency Measures for K-12

    E-Print Network [OSTI]

    Hyojin, K; Haberl, J. S.; Baltazar, J.C.; Mukhopadhyay, J.; Do, S.; Kim, K.; Lewis, C.; Yazdani, B.

    2011-01-01T23:59:59.000Z

    Station school district Methodology N Classroom Admin Cafe Gym Energy Efficiency/Renewable Energy (EE/RE) Measures for K-12 Schools CATEE 2011 Nov. 7 ? 9, 2011 Characteristics of Base-Case Model ? Building Envelope - 1-story, 79,430 ft2... Power Density (W/ft^2) AEDG HVAC System Type EnergyPlus Benchmark Air Conditioning System Efficiency ASHRAE 90.1-1999 Table 6.2.1 A Heating System Efficiency (%) ASHRAE 90.1-1999 Table 6.2.1F Cooling Capacity (Btu/hr) Heating Capacity (Btu...

  18. Comprehensive Measures/Whole Building | 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| Open Energy Information Goff &Measures/Whole

  19. A method for Fermi energy measurements A. Tsukernik,a)

    E-Print Network [OSTI]

    Luryi, Serge

    due to the built-in field, which converts the diffusive regime of transport into thermionic emission on the analysis of thermionic emission and diffusion over a barrier with a built-in charge. The method can cannot be employed for Fermi energy measurements. As a result, the temperature dependence of thermionic

  20. Extracting the Green's function from measurements of the energy flux

    E-Print Network [OSTI]

    Snieder, Roel

    Extracting the Green's function from measurements of the energy flux Roel Sniedera) Center for Wave, Cambridge CB3 0EL, United Kingdom ivasconc@gmail.com Abstract: Existing methods for Green's function extraction give the Green's function from the correlation of field fluctuations recorded at those points

  1. A Methodology to Measure Retrofit Energy Savings in Commercial Buildings

    E-Print Network [OSTI]

    Kissock, John Kelly

    2008-01-16T23:59:59.000Z

    based on pre-retrofit data sets of less than a full year is investigated. The energy delivery efficiency is introduced to measure the efficiency of air-side systems at meeting the net building load. A preliminary investigation of the use of artificial...

  2. Minimizing Intrusiveness in Home Energy Measurement David Lachut

    E-Print Network [OSTI]

    Rollins, Sami

    management in homes. Like smart meters, most solar or other renewable deployments allow homeowners in homes. Like smart meters, most solar or other renewable deployments al- low homeowners to carefully on the market that enable measure- ment of energy usage, either at the scale of the entire home or individual

  3. Solar Energy: Impacts & Management MeasuresSolar Energy: Impacts & Management Measures Vasilis Fthenakis

    E-Print Network [OSTI]

    Ohta, Shigemi

    .pv.bnl.gov www.clca.columbia.edu #12;2 OutlineOutline Photovoltaics status & potential Life-cycle environmental impacts & comparisons with other power generation · Energy use · Emissions · Land use · Endangered species Environmental Impact Resource Availability #12;9 Affordability - Cost Reductions Prices and Production Costs

  4. Surface Energy Balance Measurements Above an Exurban Residential Neighbourhood of Kansas City, Missouri

    E-Print Network [OSTI]

    Balogun, Ahmed A.; Adegoke, Jimmy O.; Vezhapparambu, Sajith; Mauder, Matthias; McFadden, Joseph P.; Gallo, Kevin

    2009-01-01T23:59:59.000Z

    9421-3 ARTICLE Surface Energy Balance Measurements Above anmeasurements of urban energy balances generally have beenuxes · Urban surface energy balance 1 Introduction Rapid

  5. Measurement of the nucleon structure function using high energy muons

    SciTech Connect (OSTI)

    Meyers, P.D.

    1983-12-01T23:59:59.000Z

    We have measured the inclusive deep inelastic scattering of muons on nucleons in iron using beams of 93 and 215 GeV muons. To perform this measurement, we have built and operated the Multimuon Spectrometer (MMS) in the muon beam at Fermilab. The MMS is a magnetized iron target/spectrometer/calorimeter which provides 5.61 kg/cm/sup 2/ of target, 9% momentum resolution on scattered muons, and a direct measure of total hadronic energy with resolution sigma/sub nu/ = 1.4..sqrt..nu(GeV). In the distributed target, the average beam energies at the interaction are 88.0 and 209 GeV. Using the known form of the radiatively-corrected electromagnetic cross section, we extract the structure function F/sub 2/(x,Q/sup 2/) with a typical precision of 2% over the range 5 < Q/sup 2/ < 200 GeV/sup 2//c/sup 2/. We compare our measurements to the predictions of lowest order quantum chromodynamics (QCD) and find a best fit value of the QCD scale parameter ..lambda../sub LO/ = 230 +- 40/sup stat/ +- 80/sup syst/ MeV/c, assuming R = 0 and without applying Fermi motion corrections. Comparing the cross sections at the two beam energies, we measure R = -0.06 +- 0.06/sup stat/ +- 0.11/sup syst/. Our measurements show qualitative agreement with QCD, but quantitative comparison is hampered by phenomenological uncertainties. The experimental situation is quite good, with substantial agreement between our measurements and those of others. 86 references.

  6. System Energy Assessment (SEA), Defining a Standard Measure of EROI for Energy Businesses as Whole Systems

    E-Print Network [OSTI]

    Henshaw, Philip F; Zarnikau, Jay

    2011-01-01T23:59:59.000Z

    A more objective method for measuring the energy needs of businesses, System Energy Assessment (SEA), identifies the natural boundaries of businesses as self-managing net-energy systems, of controlled and self-managing parts. The method is demonstrated using a model Wind Farm case study, and applied to defining a true physical measure of its energy productivity for society (EROI-S), the global ratio of energy produced to energy cost. The traceable needs of business technology are combined with assignable energy needs for all other operating services. That serves to correct a large natural gap in energy use information. Current methods count traceable energy receipts for technology use. Self-managing services employed by businesses outsource their own energy needs to operate, and leave no records to trace. Those uncounted energy demands are often 80% of the total embodied energy of business end products. The scale of this "dark energy" was discovered from differing global accounts, and corrected so the average...

  7. Energy Savings Performance Contracting-Savings Measurement and Verification Transcript 2-24-2011.doc

    Broader source: Energy.gov [DOE]

    Energy Savings Performance Contracting-Savings Measurement and Verification Transcript 2-24-2011.doc

  8. State and Local Energy Savings Performance Contracting: Savings Measurement and Verification (M&V)

    Broader source: Energy.gov [DOE]

    State and Local Energy Savings Performance Contracting: Savings Measurement and Verification (M&V) Webinar.

  9. Developing an Evaluation Measurement and Verification Plan for Your Energy Efficiency Project/Program

    Broader source: Energy.gov [DOE]

    Developing an Evaluation Measurement and Verification Plan for Your Energy Efficiency Project/Program

  10. Coriolis Meters for Hydrogen Dispensing Measurement | 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 theJuly 30, 2013Department of EnergyCore Measure

  11. A methdology for baselining the energy use at large campus utility plants for the purpose of measuring energy savings from energy conservation retrofits 

    E-Print Network [OSTI]

    Beasley, Rodney Craig

    1999-01-01T23:59:59.000Z

    The development of the energy services industry and the implementation of energy savings retrofits by energy services companies has increased the focus on the performance of energy saving retrofits. Energy savings measurement, ...

  12. PAMELA's Measurements of Magnetospheric Effects on High Energy Solar Particles

    E-Print Network [OSTI]

    Adriani, O; Bazilevskaya, G A; Bellotti, R; Boezio, M; Bogomolov, E A; Bongi, M; Bonvicini, V; Bottai, S; Bravar, U; Bruno, A; Cafagna, F; Campana, D; Carbone, R; Carlson, P; Casolino, M; Castellini, G; Christian, E C; De Donato, C; de Nolfo, G A; De Santis, C; De Simone, N; Di Felice, V; Formato, V; Galper, A M; Karelin, A V; Koldashov, S V; Koldobskiy, S; Krutkov, S Y; Kvashnin, A N; Lee, M; Leonov, A; Malakhov, V; Marcelli, L; Martucci, M; Mayorov, A G; Menn, W; Mergé, M; Mikhailov, V V; Mocchiutti, E; Monaco, A; Mori, N; Munini, R; Osteria, G; Palma, F; Panico, B; Papini, P; Pearce, M; Picozza, P; Ricci, M; Ricciarini, S B; Ryan, J M; Sarkar, R; Scotti, V; Simon, M; Sparvoli, R; Spillantini, P; Stochaj, S; Stozhkov, Y I; Thakur, N; Vacchi, A; Vannuccini, E; Vasilyev, G I; Voronov, S A; Yurkin, Y T; Zampa, G; Zampa, N

    2015-01-01T23:59:59.000Z

    The nature of particle acceleration at the Sun, whether through flare reconnection processes or through shocks driven by coronal mass ejections (CMEs), is still under scrutiny despite decades of research. The measured properties of solar energetic particles (SEPs) have long been modeled in different particle-acceleration scenarios. The challenge has been to disentangle to the effects of transport from those of acceleration. The Payload for Antimatter Matter Exploration and Light-nuclei Astrophysics (PAMELA) instrument, enables unique observations of SEPs including composition and the angular distribution of the particles about the magnetic field, i.e. pitch angle distribution, over a broad energy range (>80 MeV) -- bridging a critical gap between space-based measurements and ground-based. We present high-energy SEP data from PAMELA acquired during the 2012 May 17 SEP event. These data exhibit differential anisotropies and thus transport features over the instrument rigidity range. SEP protons exhibit two dist...

  13. Possible Measurable Effects of Dark Energy in Rotating Superconductors

    E-Print Network [OSTI]

    Clovis Jacinto de Matos; Christian Beck

    2007-07-12T23:59:59.000Z

    We discuss recent laboratory experiments with rotating superconductors and show that three so far unexplained experimentally observed effects (anomalous acceleration signals, anomalous gyroscope signals, Cooper pair mass excess) can be physically explained in terms of a possible interaction of dark energy with Cooper pairs. Our approach is based on a Ginzburg-Landau-like model of electromagnetic dark energy, where gravitationally active photons obtain mass in the superconductor. We show that this model can account simultaneously for the anomalous acceleration and anomalous gravitomagnetic fields around rotating superconductors measured by Tajmar et al. and for the anomalous Cooper pair mass in superconductive Niobium, measured by Cabrera and Tate. It is argued that these three different physical effects are ultimately different experimental manifestations of the simultaneous spontaneous breaking of gauge invariance, and of the principle of general covariance in superconductive materials.

  14. Variable energy positron measurements at nitrogen ion bombarded steel surfaces

    SciTech Connect (OSTI)

    Brauer, G.; Kolitsch, A. [Research Centre Rossendorf, Inc., Dresden (Germany); Schut, H.; Veen, A. van [TU Delft (Netherlands). Interfaculty Reactor Inst.

    1996-12-31T23:59:59.000Z

    Nitrogen ion bombardment of steel samples has been studied by utilizing the Delft variable energy positron beam facility. The energy of the beam was varied between 250 eV and 25 keV and a line-shape parameter S describing the annihilation radiation has been measured. By use of the VEPFIT fitting program, up to five different layers, each having different densities, could be identified and characterized. The results show that carbon layers deposited during nitrogen implantation can be observed. A relation between the measured depth profiles of nitrogen, carbon and oxygen by Elastic Recoil Detection Analysis (ERDA) and the results of positron annihilation is given and discussed. The wear and friction properties of the steel surfaces before and after nitrogen implantation are presented.

  15. EFFECTS OF ENERGY CONSERVATION MEASURES ON AIR HYGIENE IN PUBLIC BUILDINGS: FINAL REPORT

    E-Print Network [OSTI]

    Dimmick, R.L.

    2013-01-01T23:59:59.000Z

    STUDIES OF EFFECTS OF ENERGY CONSERVATION r1EASURES ON AIR41 T EFFECTS OF ENERGY CONSERVATION MEASURES ON AIR HYGIENE80-2 EFFECTS OF ENERGY CONSERVATION MEASURES ON AIR HYGIENE

  16. Energy Cost Reduction Measures Identified for Texas State Agencies

    E-Print Network [OSTI]

    Grigg, T. J.; Verdict, M. E.

    1987-01-01T23:59:59.000Z

    conservation opportunities and capital intensive energy cost reduction measures. Though more square feet was audited in 1984, more utility cost savings per square foot were identified in 1986. Changes in the screening process, the audit report format... square foot for the audited facilities by building type. Maintenance and operation savings are included in this table. A sufficient number of academic buildings, medical research facilities, libraries, hospitals, and office buildings were audited...

  17. MEASURING AND EXPRESSING THE PERFORMANCE OF ENERGY STORAGE SYSTEMS

    SciTech Connect (OSTI)

    Schoenwald, David; Conover, David R.

    2013-12-03T23:59:59.000Z

    Until late 2012, there was no uniform methodology to measure and express the performance of energy storage systems (ESS). A void in this area can affect the acceptance of ESS in the marketplace because different systems cannot be equitably compared and ESS cost-benefit analysis may be challenging due to a lack of verified and relevant ESS performance. The lack of such criteria also furthers the probability that each ESS customer or user will make up their own; necessitating “custom validation” to a unique set of criteria each time an ESS is to be considered or installed. To address this need and foster the acceptance of ESS, the U.S. Department of Energy’s (DOE) Energy Storage Systems Program facilitated the development of a protocol to measure and express ESS performance and is supporting its updating, enhancement and use in formal consensus standards development. Of particular interest is the development of the document through an open and transparent process that saved considerable time.

  18. Linac4 low energy beam measurements with negative hydrogen ions

    SciTech Connect (OSTI)

    Scrivens, R., E-mail: richard.scrivens@cern.ch; Bellodi, G.; Crettiez, O.; Dimov, V.; Gerard, D.; Granemann Souza, E.; Guida, R.; Hansen, J.; Lallement, J.-B.; Lettry, J.; Lombardi, A.; Midttun, Ø.; Pasquino, C.; Raich, U.; Riffaud, B.; Roncarolo, F.; Valerio-Lizarraga, C. A.; Wallner, J.; Yarmohammadi Satri, M.; Zickler, T. [CERN, 1211 Geneva 23 (Switzerland)] [CERN, 1211 Geneva 23 (Switzerland)

    2014-02-15T23:59:59.000Z

    Linac4, a 160 MeV normal-conducting H{sup ?} linear accelerator, is the first step in the upgrade of the beam intensity available from the LHC proton injectors at CERN. The Linac4 Low Energy Beam Transport (LEBT) line from the pulsed 2 MHz RF driven ion source, to the 352 MHz RFQ (Radiofrequency Quadrupole) has been built and installed at a test stand, and has been used to transport and match to the RFQ a pulsed 14 mA H{sup ?} beam at 45 keV. A temporary slit-and-grid emittance measurement system has been put in place to characterize the beam delivered to the RFQ. In this paper a description of the LEBT and its beam diagnostics is given, and the results of beam emittance measurements and beam transmission measurements through the RFQ are compared with the expectation from simulations.

  19. Linac4 Low Energy Beam Measurements with Negative Hydrogen

    E-Print Network [OSTI]

    Scrivens, R; Crettiez, O; Dimov, V; Gerard, D; Granemann Souza, E; Guida, R; Hansen, J; Lallement, J B; Lettry, J; Lombardi, A; Midttun, O; Pasquino, C; Raich, U; Riffaud, B; Roncarolo, F; Valerio-Lizarraga, C A; Wallner, J; Yarmohammadi Satri, M; Zickler, T

    2013-01-01T23:59:59.000Z

    Linac4, a 160 MeV normal-conducting H- linear accelerator, is the first step in the upgrade of the beam intensity available from the LHC proton injectors at CERN. The Linac4 Low Energy Beam Transport (LEBT) line from the pulsed 2 MHz RF driven ion source, to the 352 MHz RFQ has been built and installed at a test stand, and has been used to transport and match to the RFQ a pulsed 14 mA H- beam at 45 keV. A temporary slit-and-grid emittance measurement system has been put in place to characterize the beam delivered to the RFQ. In this paper a description of the LEBT and its beam diagnostics is given, and the results of beam emittance measurements and beam transmission measurements through the RFQ are compared with the expectation from simulations.

  20. Potential environmental effects of energy conservation measures in northwest industries

    SciTech Connect (OSTI)

    Baechler, M C; Gygi, K F; Hendrickson, P L

    1992-01-01T23:59:59.000Z

    The Bonneville Power Administration (Bonneville) has identified 101 plants in the Pacific Northwest that account for 80% of the region's industrial electricity consumption. These plants offer a precise target for a conservation program. PNL determined that most of these 101 plants were represented by 11 major industries. We then reviewed 36 major conservation technologies used in these 11 industrial settings to determine their potential environmental impacts. Energy efficiency technologies designed for industrial use may result in direct or indirect environmental impacts. Effects may result from the production of the conservation measure technology, changes in the working environment due to different energy and material requirements, or changes to waste streams. Industry type, work-place conditions, worker training, and environmental conditions inside and outside the plant are all key variables that may affect environmental outcomes. To address these issues this report has three objectives: Describe potential conservation measures that Bonneville may employ in industrial programs and discuss potential primary impacts. Characterize industrial systems and processes where the measure may be employed and describe general environmental issues associated with each industry type. Review environmental permitting, licensing, and other regulatory actions required for industries and summarize the type of information available from these sources for further analysis.

  1. Manufacturing consumption of energy 1991

    SciTech Connect (OSTI)

    Not Available

    1994-12-01T23:59:59.000Z

    This report provides estimates on energy consumption in the manufacturing sector of the US economy. These estimates are based on data from the 1991 Manufacturing Energy Consumption Survey (MECS). This survey--administered by the Energy End Use and Integrated Statistics Division, Office of Energy Markets and End Use, Energy Information Administration (EIA)--is the most comprehensive source of national-level data on energy-related information for the manufacturing industries.

  2. A study of jet energy measurement at CDF

    SciTech Connect (OSTI)

    NONE

    1998-09-01T23:59:59.000Z

    This thesis describes the effort being made to improve the Jet Energy Reconstruction as performed by the CDF international collaboration at the Tevatron collider. This experiment studies proton-antiproton interactions at a center of mass energy of 1.8 TeV. During the three years data taking period Run 1, from 1992 to 1995 the CDF experiment collected an amount of data corresponding to a total integrated luminosity of 110 pb{sup -1}. One of the major results obtained analyzing this data sample is the discovery of the top quark. In the year 2000 a new period of data taking, Run 11, will start with a higher luminosity and a slightly higher center of mass energy giving us the chance to explore high energy physics even deeper. In preparation of this new run several upgrades are being made to adapt the CDF detector to the high luminosity foreseen and to improve its capabilities. Many signatures requested to trigger the detector aim at signaling a quark or a gluon in the final state. Unfortunately we are not able to measure quarks as free particles because they undergo a fragmentation process when turning into jets of particles. Thus it is of key importance to build up algorithms which reconstruct the energy of the initial parton starting from the jet informations. The description of the algorithm adopted till now will be given as an introduction to the new method being developed, that will be the main subject of this thesis. In Chapter I we will give a theoretical introduction on strong interactions to describe the mechanism to produce hadronic jets. In Chapter 2 we will describe some results from the experiment where the reconstruction of hadronic jets was important. Here we will also mention some important results which we think we can obtain during new the data taking period. We will give particular emphasis to those processes where an improved jet energy measured would bring to better results. In Chapter 3 we will give a description of the CDF detector including some more details on the elements which are relevant for jet energy reconstruction. The way of defining jets which has been used by CDF so far, will be the subject of chapter 4. Starting from the present CDF algorithm we studied the various problems which arise with jet reconstruction. Those problems can be grouped into two categories, the one including effects coming from physics and a second one including the effects due to a non-perfect resolution of our detector. In Chapter 5 the physics effects limiting jet energy reconstruction will be addressed. We will discuss the radiation of hard gluons both from initial state and final state partons and we will show how these problems are connected with jet definition algorithms. In Chapter 6 we will describe a new method to define jet energy making use of some detector informations which are not used in the present algorithm. The energy of each single calorimeter tower will be re-defined taking into account not only the energy released in the calorimeters, but also the informations on the shower development through it and the tracking informations coming from the Central Tracking Chamber. Finally, in Chapter 7 we apply the studies described above on photon+jet events collected during the run 1. The use of data is of key importance to claim that our corrections are working fine. We will show how a 30 % improvement in jet energy resolution, a major step towards better jet physics in Run 11, is obtained.

  3. How energy-efficient is your cloud app? Energy measurements in virtualized environments with PowerAPI

    E-Print Network [OSTI]

    Boyer, Edmond

    How energy-efficient is your cloud app? Energy measurements in virtualized environments with PowerAPI Context Energy-efficiency major concern in data centers Existing approaches work for physical servers consumption in virtualized environments Measurements are first step towards energy-efficient data centers Host

  4. Securing Wide Area Measurement Systems | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMay 2015ParentsMiddle| DepartmentAchievementEnergyWide Area Measurement

  5. Mass Measurement Using Energy Spectra in Three-body Decays

    E-Print Network [OSTI]

    Kaustubh Agashe; Roberto Franceschini; Doojin Kim; Kyle Wardlow

    2015-03-12T23:59:59.000Z

    In previous works we have demonstrated how the energy distribution of massless decay products in two body decays can be used to measure the mass of decaying particles. In this work we show how such results can be generalized to the case of multi-body decays. The key ideas that allow us to deal with multi-body final states are an extension of our previous results to the case of massive decay products and the factorization of the multi-body phase space. The mass measurement strategy that we propose is distinct from alternative methods because it does not require an accurate reconstruction of the entire event, as it does not involve, for instance, the missing transverse momentum, but rather requires measuring only the visible decay products of the decay of interest. To demonstrate the general strategy, we study a supersymmetric model wherein pair-produced gluinos each decay to a stable neutralino and a bottom quark-antiquark pair via an off-shell bottom squark. The combinatorial background stemming from the indistinguishable visible final states on both decay sides can be treated by an "event mixing" technique, the performance of which is discussed in detail. Taking into account dominant backgrounds, we are able to show that the mass of the gluino and, in favorable cases, that of the neutralino can be determined by this mass measurement strategy.

  6. The Great Building Energy Predictor Shootout II: Measuring Retrofit Energy Savings

    E-Print Network [OSTI]

    Thamilseran, S.; Haberl, J. S.

    1995-01-01T23:59:59.000Z

    series plot of measured energy use in ZEC for the period of Jan. 1,990 to Nov.27,1990 for (a) Whole-Building Electricity, (b) Motor Control Center Electricity, (c) Light and Equipment Electricity, (d) Whole-Building Cooling, and (e) Whole-Building Heating... channels. 1.2 Time series plots of predicted energy use by Entry #1 and residual energy use in ZEC for the period of Jan.1,990 to Nov.27,1990 for (a) Whole-Building Electricity, (b) Motor Control Center Electricity, (c) Light and Equipment Electricity, (d...

  7. Surface Energy Balance Measurements Above an Exurban Residential Neighbourhood of Kansas City, Missouri

    E-Print Network [OSTI]

    Balogun, Ahmed A.; Adegoke, Jimmy O.; Vezhapparambu, Sajith; Mauder, Matthias; McFadden, Joseph P.; Gallo, Kevin

    2009-01-01T23:59:59.000Z

    and energy ?ows within cities and their surrounding areas.energy balance measurements over a new exurban residential area near Kansas City,

  8. Measurement and Verification Options for Federal Energy- and Water-Saving Projects

    Broader source: Energy.gov [DOE]

    Federal Energy Management Program (FEMP) measurement and verification (M&V) guidelines and International Performance Measurement and Verification Protocol M&V methodologies are broken into four options.

  9. A Framework for Comparative Assessments of Energy Efficiency Policy Measures

    E-Print Network [OSTI]

    Blum, Helcio

    2012-01-01T23:59:59.000Z

    premise that the comparative assessment of energy efficiencypremise that the comparative assessment of energy efficiency

  10. Measurement of neutron capture on 50Ti at thermonuclear energies

    E-Print Network [OSTI]

    P. V. Sedyshev; P. Mohr; H. Beer; H. Oberhummer; Yu. P. Popov; W. Rochow

    1999-07-28T23:59:59.000Z

    At the Karlsruhe and Tuebingen 3.75 MV Van de Graaff accelerators the thermonuclear 50Ti(n,gamma)51Ti(5.8 min) cross section was measured by the fast cyclic activation technique via the 320.852 and 928.65 keV gamma-ray lines of the 51Ti-decay. Metallic Ti samples of natural isotopic composition and samples of TiO2 enriched in 50Ti by 67.53 % were irradiated between two gold foils which served as capture standards. The capture cross-section was measured at the neutron energies 25, 30, 52, and 145 keV, respectively. The direct capture cross section was determined to be 0.387 +/- 0.011 mbarn at 30 keV. We found evidence for a bound state s-wave resonance with an estimated radiative width of 0.34 eV which destructively interfers with direct capture. The strength of a suggested s-wave resonance at 146.8 keV was determined. The present data served to calculate, in addition to the directly measured Maxwellian averaged capture cross sections at 25 and 52 keV, an improved stellar 50Ti(n,gamma)51Ti rate in the thermonuclear energy region from 1 to 250 keV. The new stellar rate leads at low temperatures to much higher values than the previously recommended rate, e.g., at kT=8 keV the increase amounts to about 50 %. The new reaction rate therefore reduces the abundance of 50Ti due to s-processing in AGB stars.

  11. Mass Measurement Using Energy Spectra in Three-body Decays

    E-Print Network [OSTI]

    Agashe, Kaustubh; Kim, Doojin; Wardlow, Kyle

    2015-01-01T23:59:59.000Z

    In previous works we have demonstrated how the energy distribution of massless decay products in two body decays can be used to measure the mass of decaying particles. In this work we show how such results can be generalized to the case of multi-body decays. The key ideas that allow us to deal with multi-body final states are an extension of our previous results to the case of massive decay products and the factorization of the multi-body phase space. The mass measurement strategy that we propose is distinct from alternative methods because it does not require an accurate reconstruction of the entire event, as it does not involve, for instance, the missing transverse momentum, but rather requires measuring only the visible decay products of the decay of interest. To demonstrate the general strategy, we study a supersymmetric model wherein pair-produced gluinos each decay to a stable neutralino and a bottom quark-antiquark pair via an off-shell bottom squark. The combinatorial background stemming from the indi...

  12. High-Energy, Pulsed-Laser Diagnostics for Real-Time Measurements...

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

    High-Energy, Pulsed-Laser Diagnostics for Real-Time Measurements of Reciprocating Engine PM Emissions High-Energy, Pulsed-Laser Diagnostics for Real-Time Measurements of...

  13. Temperature Measurements Through Dust or Steam for Energy-Intensive Industries 

    E-Print Network [OSTI]

    Stephan, K. D.; Pearce, J. A.; Wang, L.; Ryza, E.

    2005-01-01T23:59:59.000Z

    The precise measurement of temperature in energy-intensive processes can lead to energy conservation and improvements in the quality and consistency of products. While temperature measurement instruments are available for a wide variety...

  14. Uncertainties in Achieving Energy Savings from HVAC Maintenance Measures in the Field

    E-Print Network [OSTI]

    California at Davis, University of

    Uncertainties in Achieving Energy Savings from HVAC Maintenance Measures in the Field Kristin Group, Davis, CA, USA 4 Southern California Edison, Irwindale, CA, USA ABSTRACT HVAC maintenance utilities across the nation to include HVAC maintenance measures in energy efficiency programs

  15. Embedded Software Energy Characterization: using non-intrusive measures for application

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Embedded Software Energy Characterization: using non-intrusive measures for application source code propose a complete system energy model based on non-intrusive measurements. This model aims at being

  16. Energy Flow Models for the Steel Industry

    E-Print Network [OSTI]

    Hyman, B.; Andersen, J. P.

    Energy patterns in the U. S. steel industry are examined using several models. First is an end-use model based on data in the 1994 Manufacturing Energy Consumption Survey (MECS). Then a seven-step process model is presented and material flow through...

  17. Measurement and Verification Activities Required in the Energy Savings Performance Contract Process

    Broader source: Energy.gov [DOE]

    There are four major measurement and verification (M&V) activities in the energy savings performance contract (ESPC) procurement process.

  18. A Framework for Comparative Assessments of Energy Efficiency Policy Measures

    E-Print Network [OSTI]

    Blum, Helcio

    2012-01-01T23:59:59.000Z

    Library, Consortium for Energy Efficiency, Boston, MA, USA.M et al (2008): Energy Efficiency: The First Fuel for a2007): Vermont Electric Energy Efficiency Potential Study -

  19. MEASURING FUSION CROSS-SECTIONS FOR THE C SYSTEM AT NEAR BARRIER ENERGIES

    E-Print Network [OSTI]

    de Souza, Romualdo T.

    MEASURING FUSION CROSS-SECTIONS FOR THE 20 O + 12 C SYSTEM AT NEAR BARRIER ENERGIES Michael Rudolph Michael Rudolph MEASURING FUSION CROSS-SECTIONS FOR THE 20 O + 12 C SYSTEM AT NEAR BARRIER ENERGIES The fusion of neutron-rich 20 O on 12 C at energies in the range of 20 MeV Elab 41 MeV was measured

  20. Assessment of Impacts from Updating North Dakota’s Residential Energy Code to Comply with the 2000 International Energy Conservation Code

    SciTech Connect (OSTI)

    Lucas, Robert G.

    2004-05-01T23:59:59.000Z

    The current North Dakota state energy code is the Council of American Building Officials (CABO) 1993 Model Energy Code (MEC) (CABO 1993). Local jurisdictions can choose to adopt this code. CABO has been transformed into the International Code Council (ICC) and the MEC has been renamed the International Energy Conservation Code (IECC). The most recent edition of the code is the 2003 IECC (ICC 2003). North Dakota's Department of Community Services requested that the U.S. Department of Energy (DOE) compare the 1993 MEC with the 2000 IECC to estimate impacts from updating North Dakota's residential energy code to comply with the new code. Under DOE's direction, Pacific Northwest National Laboratory (PNNL) completed an assessment of the impacts from this potential code upgrade, including impacts on construction and energy consumption costs.

  1. A methdology for baselining the energy use at large campus utility plants for the purpose of measuring energy savings from energy conservation retrofits

    E-Print Network [OSTI]

    Beasley, Rodney Craig

    1999-01-01T23:59:59.000Z

    modeling techniques and measured daily data for the purpose of measuring energy savings. The methodology of this thesis improves upon previous regression modeling of individual buildings by extending commercial building energy usage models to an entire...

  2. INDOOR AIR QUALITY MEASUREMENTS IN ENERGY EFFICIENT BUILDINGS

    E-Print Network [OSTI]

    Hollowell, C.D.

    2011-01-01T23:59:59.000Z

    incorporating energy efficient designs. Indoor air qualityincorporating energy efficient designs. In the future, theenergy efficient ventilation standards and ventilation designs

  3. M&V Guidelines: Measurement and Verification for Federal Energy Projects

    Broader source: Energy.gov [DOE]

    Document describes the Federal Energy Management Program's (FEMP) standard procedures and guidelines for measurement and verification (M&V) for federal energy managers, procurement officials, and energy service providers.

  4. Sequential analysis and packaging of energy-efficiency measures

    SciTech Connect (OSTI)

    Bourne, R.C.; Elberling, L.

    1994-12-31T23:59:59.000Z

    This paper describes the sequential analysis and packaging method energy-efficiency measures (EEM`s) for residential sites in the Pacific Gas & Electric Company (PG&E) Advanced Customer Technology Test (ACT) project. By November 1993 the design process was completed for two new residences and was underway on one of two existing residences selected for the program. Process and design results for the two new residences will be described in this paper. The ACT{sup 2} program objective is to test the limits of cost-efficiency measures in typical residences within PG&E`s service territory, located in northern and central California. Detailed evaluations and rankings were conducted to select representative sites from more than twenty candidates. Both new homes are 1,670-1,700 ft{sup 2}, one-story designs located in the Sacramento Valley. The Davis site, approximately 17 miles west of Sacramento, is the residential pilot project located at home for the ACT{sup 2} residential design team, in a community known for its interest in energy conservation. The Stanford Ranch site, located in Rocklin approximately 20 miles northeast of Sacramento, is more representative of typical California tract construction in a major planned community. While climates for the two locations are similar, the Stanford Ranch site typically experiences higher summer temperatures, particularly at night. The ACT{sup 2} program is further described in several prior reports and papers. For each demonstration site, a computer base case model is developed based on the existing building for retrofit projects and on the building which would have been built, for new construction projects. A data evaluation subcontractor develops base case models for use by the design/build subcontractors (both residential and commercial) and evaluates project results based on monitoring data collected after EEM implementation. Completed projects are operated and monitored for two years after completion.

  5. Measurements of sideward flow around the balance energy

    E-Print Network [OSTI]

    INDRA collaboration; D. Cussol; T. Lefort; J. Péter

    2001-11-13T23:59:59.000Z

    Sideward flow values have been determined with the INDRA multidetector for Ar+Ni, Ni+Ni and Xe+Sn systems studied at GANIL in the 30 to 100 A.MeV incident energy range. The balance energies found for Ar+Ni and Ni+Ni systems are in agreement with previous experimental results and theoretical calculations. Negative sideward flow values have been measured. The possible origins of such negative values are discussed. They could result from a more important contribution of evaporated particles with respect to the contribution of promptly emitted particles at mid-rapidity. But effects induced by the methods used to reconstruct the reaction plane cannot be totally excluded. Complete tests of these methods are presented and the origins of the ``auto-correlation'' effect have been traced back. For heavy fragments, the observed negative flow values seem to be mainly due to the reaction plane reconstruction methods. For light charged particles, these negative values could result from the dynamics of the collisions and from the reaction plane reconstruction methods as well. These effects have to be taken into account when comparisons with theoretical calculations are done.

  6. Energy Efficiency Programs for Small and Medium Sized Industry

    E-Print Network [OSTI]

    Shipley, A. M.; Elliott, R. N.

    0.24 0.28 0.24 0.25 Electronic Equipment 0.21 0.22 0.2 0.23 SIC 36 All Manufacturing 13.62 15.49 15.03 16.52 Source: http://www.ela.doe.gov/emeu/mecs/ Table 2. Energy Intensity in the Manufacturing Sector Energy Intensity (Thousand Btu per... Btu per 1992 constant dollars) 3.84 I 3.88 I 3.97 I 4.01 Change in Energy Efficiency (percent) All Manufacturing -4.43 Source:http://www.ela.doe.gov/emeu/mecs/ fluctuations in electricity and fuel pricing. According to the MECS data...

  7. INDOOR AIR QUALITY MEASUREMENTS IN ENERGY-EFFICIENT RESIDENTIAL BUILDINGS

    E-Print Network [OSTI]

    Berk, J.V.

    2011-01-01T23:59:59.000Z

    Modem RESIDENTIAL ENERGY CONSUMPTION DATA (1976) TOTAL 18.95HEATING COMMERCIAL ENERGY CONSUMPTION DATA (1976) TOTAL 10.3data on various active and pas- sive methods of reducing energy consumption

  8. Measurement of Electron Backscattering in the Energy Range of Neutron $?$-Decay

    E-Print Network [OSTI]

    J. W. Martin; J. Yuan; S. A. Hoedl; B. W. Filippone; D. Fong; T. M. Ito; E. Lin; B. Tipton; A. R. Young

    2003-10-01T23:59:59.000Z

    We report on the first detailed measurements of electron backscattering from low Z targets at energies up to 124 keV. Both energy and angular distributions of the backscattered electrons are measured and compared with electron transport simulations based on the Geant4 and Penelope Monte Carlo simulation codes. Comparisons are also made with previous, less extensive, measurements and with measurements at lower energies.

  9. Rule to Support Increased Energy Measurement and Efficient Building...

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

    related goals and to provide energy leadership to the country. Addthis Related Articles Energy Department Issues Green Building Certification System Final Rule to Support...

  10. Evaluation, Measurement, and Verification of Energy Data | Department...

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

    nonenergy impacts of energy efficiency programs. EM&V of Residential Behavior-Based Energy Efficiency Programs: Issues and Recommendations: This guide offers technically valid...

  11. Data Center Energy Efficiency Measurement Assesment Kit Guide...

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

    Improve Data Center Efficiency Energy Efficiency Opportunities in Federal High Performance Computing Data Centers Case Study: Opportunities to Improve Energy Efficiency in Three...

  12. M&V Guidelines: Measurement and Verification for Federal Energy...

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

    More Documents & Publications Introduction to Measurement & Verification for DOE Super ESPC Projects Introduction to Measurement and Verification for DOE Super ESPC Projects DRAFT...

  13. Microbial Electrolysis Cells (MECs) for High Yield Hydrogen (H2) Production

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment3311, 3312), OctoberMayEnergyInstituteMicro3

  14. Energy Measurement for the Cloud Yi Yu, Saleem Bhatti

    E-Print Network [OSTI]

    Bhatti, Saleem N.

    ' the energy costs of cloud service provision is already significant, and will continue to rise as global business policy makers and system managers move towards energy efficiency. Firstly, energy-saving equipment and energy-saving tools often add additional cost to basic ICT purchases for end users, e.g. lower power CPUs

  15. How Much Information Per Joule? Measuring the Energy Efficiency of Inferential

    E-Print Network [OSTI]

    How Much Information Per Joule? Measuring the Energy Efficiency of Inferential Wireless Sensing parameters. The inferential energy efficiency, based on the RDD, is a measure of the "fuel economy of datasets and censoring of transmissions. However, the most energy efficient algorithms often degrade data

  16. arXiv:physics/000908727Sep2000 MEASURING AND CONTROLLING ENERGY SPREAD IN CEBAF

    E-Print Network [OSTI]

    arXiv:physics/000908727Sep2000 MEASURING AND CONTROLLING ENERGY SPREAD IN CEBAF G. A. Krafft, J spread from a CEBAF-type machine to be relatively small; the measured energy spread from CEBAF at 4 Ge, the various subsystems contributing to the energy spread of a CEBAF-type accel- erator are reviewed, as well

  17. Towards measuring the ionisation and dissociation energies of molecular hydrogen with

    E-Print Network [OSTI]

    Towards measuring the ionisation and dissociation energies of molecular hydrogen with sub and dissociation energies of molecular hydrogen H2 was carried out recently by measuring three intervals independently: the X / EF interval, the EF / n ¼ 54p interval, and the electron binding energy of the n ¼ 54p

  18. The Uniform Methods Project: Methods For Determining Energy Efficiency Savings For Specific Measures

    Broader source: Energy.gov [DOE]

    This document provides a set of model protocols for determining energy and demand savings that result from specific energy efficiency measures implemented through state and utility efficiency programs. The methods described here are approaches that are?or are among?the most commonly used in the energy efficiency industry for certain measures or programs.

  19. Calculations of crystal-melt interfacial free energies by nonequilibrium work measurements

    E-Print Network [OSTI]

    Song, Xueyu

    Calculations of crystal-melt interfacial free energies by nonequilibrium work measurements Yan Mu perturbation method to compute the interfacial free energies by nonequilibrium work measurements with cleaving potential procedure. Using this method, we calculated the interfacial free energies of different crystal

  20. Comparing calculated and measured grain boundary energies in nickel Gregory S. Rohrer a

    E-Print Network [OSTI]

    Rohrer, Gregory S.

    Laboratories (SNL) [23] have utilized new, high-throughput methods to measure energy for large ensemblesComparing calculated and measured grain boundary energies in nickel Gregory S. Rohrer a , Elizabeth boundary energy data sets for Ni. Using these results, we perform the first large-scale comparison between

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

    E-Print Network [OSTI]

    Gieseler, Udo D. J.

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

  2. Energy Use in the U.S. Commercial Sector - Energy Information Administration Data, Information and Analyses 

    E-Print Network [OSTI]

    Boedecker, E.

    2001-01-01T23:59:59.000Z

    data and projections are also available from EIA. The International Energy Annual and International Petroleum Monthly are examples of EIA publications featuring historical energy data, while the International Energy Outlook provides mid...://www.eia.doe.gov/emeu/mecs/contents.html. ENERGY PROJECTIONS AND ANALYSES Short-term energy projections are published in EIA?s Short-Term Energy Outlook (STEO), which is updated monthly and contains quarterly projections for the successive two calendar years, taking into account the latest...

  3. Measuring Energy Efficiency Improvements in Industrial Battery Chargers 

    E-Print Network [OSTI]

    Matley, R.

    2009-01-01T23:59:59.000Z

    Industrial battery chargers have provided the energy requirements for motive power in industrial facilities for decades. Their reliable and durable performance, combined with their low energy consumption relative to other industrial processes, has...

  4. Evaluation of Energy Efficiency Measures in Hot and Humid Climates 

    E-Print Network [OSTI]

    Zhao, Y.; Erwine, B.; Leonard, P.; Pease, B.; Dole, A.; Lee, A.

    2010-01-01T23:59:59.000Z

    . These are usually remedied with conventional mechanical air conditioning systems, but the move toward sustainability urges designers to find less energy intensive solutions. An integrated design process coupled with energy modeling and lifecycle analysis can unite...

  5. Pumping System Measurements To Estimate Energy Savings: Why and How

    E-Print Network [OSTI]

    Casada, D.

    2007-01-01T23:59:59.000Z

    Measuring performance parameters (flow rate, pressures, and power) for existing systems is essential to understanding how both the pump(s) and system are actually performing. Examples of reasons why actual measurements are critical and practical...

  6. SEE Action Webinar – Energy Efficiency Measure Cost Studies

    Broader source: Energy.gov [DOE]

    In this webinar, leading experts will explain the importance of measure cost studies, review the current “state of the science” of measure cost development and estimation, and explore opportunities...

  7. RESIDENTIAL MANDATORY MEASURES DIVISION 4.2 ENERGY EFFFICIENCY

    E-Print Network [OSTI]

    .203.1 Energy Efficiency. Newly constructed low-rise residential buildings shall comply with Sections A4 included in the performance compliance approach for the Standard Design Building (Energy Budget certified by the Energy Commission. SECTION A4.203 PERFORMANCE APPROACH FOR NEWLY CONSTRUCTED BUILDINGS A4

  8. 1991 Tables and Spreadsheets and Answers to Frequently Asked MECS Questions

    U.S. Energy Information Administration (EIA) 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes;98,,,1999,0,0,1e+15,1469,6,01179,"WAT","HY"3,2,19,30,"BANGOR

  9. Customer Feedback during Development of 1998 MECS: Mail/Electronic Survey

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at CommercialDecadeReservesYear21CompanyS Light

  10. Monthly energy review: January 1995

    SciTech Connect (OSTI)

    Not Available

    1995-01-01T23:59:59.000Z

    Two major industry groups--the chemicals and allied products industry and the petroleum and coal products industry--accounted for more than half of US 1991 manufacturing primary energy consumption, which totaled 20.3 quadrillion Btu. Those two groups and four others (paper and allied products; primary metals; food and kindred products; and stone, clay, and glass products) accounted for 88 percent of the 1991 total. Those are among the results of the 1991 Manufacturing Energy Consumption Survey (MECS), which is one of four major energy end-use surveys conducted by the Energy Information Administration (EIA) and the only comprehensive source of national-level data on US manufacturing energy use. The 1991 MECS is the third in an ongoing series of surveys conducted at 3-year intervals through 1994.

  11. CHP Supported with Energy Efficiency Measures -- A Winning and Environmentally Sound Solution in Finland

    E-Print Network [OSTI]

    Hannunkari, E.

    CHP Supported with Energy Efficiency Measures - a Winning and Environmentally Sound Solution in Finland Erkki Hannunkari, IVO Technology Centre In the European Union Energy Progranunes, one of the most significant measures in reducing carbon... dioxides and other emissions is to build additional CHP teclmology. TIris will be implemented with measures to raise the energy efficiency. CHP technology is exceptionally widely used in Finland. At industrial sites, it accounts for more than in any...

  12. 84Unit Conversions Energy, Power, Flux Energy is measured in a number of ways depending on what property is being

    E-Print Network [OSTI]

    kilowatt- hour (1 kWh)? Problem 4 ­ How many ergs of energy are collected from a solar panel on a roof, if the sunlight provides a flux of 300 Joules/sec/meter 2 , the solar panels have an area of 27 square feet84Unit Conversions ­ Energy, Power, Flux Energy is measured in a number of ways depending on what

  13. Analysis of Energy Efficiency Measures in Rehabilitation of Multifamily Housing Units

    E-Print Network [OSTI]

    Hunn, B. D.; Silver, S. C.

    1988-01-01T23:59:59.000Z

    An apartment building in Austin, Texas, and one in Boston, Massachusetts, were analyzed to determine the cost-effectiveness of energy efficiency measures. To determine expected energy and cost savings resulting from a set of proposed retrofit...

  14. How Does Your Data Center Measure Up? Energy Efficiency Metrics and Benchmarks for Data

    E-Print Network [OSTI]

    by the New York State Energy Research and Development Authority (NYSERDA) and the Assistant Secretary Energy Commission, Pacific Gas and Electric Co., the U.S. Department of Energy and the New York StateHow Does Your Data Center Measure Up? Energy Efficiency Metrics and Benchmarks for Data Center

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

    E-Print Network [OSTI]

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

  16. A Measurement-Based Model of Energy Consumption for PLC Modems

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A Measurement-Based Model of Energy Consumption for PLC Modems Wafae Bakkali(,§), Mohamed Tlich- ysis of the energy consumption of commercial broadband PLC modems is reported. Energy consumption that quantifies the energy consumption associated to Ethernet frames and PLC Physical Blocks (PBs) processing

  17. Metrics for Measuring Progress under the Hawai`i Clean Energy Initiative

    E-Print Network [OSTI]

    ENERGY INSTITUTE School of Ocean & Earth Science & Technology ­ University of Hawai`i at Manoa #12 by Hawai`i Natural Energy Institute School of Ocean and Earth Science and Technology University of HawaiMetrics for Measuring Progress under the Hawai`i Clean Energy Initiative: Hawai`i Clean Energy

  18. Novel Photoconductive Decay Measurement System - Energy Innovation Portal

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy:Nanowire3627 Federal Register / Vol. 77, No.Portal

  19. Sandia Energy - Sandia Researchers Are First to Measure Thermoelectric...

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

    and have no moving parts, making them extremely attractive for cooling and energy harvesting applications. Thermoelectric metal-organic frameworks (MOFs) could take these...

  20. Proceedings of the Department of Energy workshop on beta measurements

    SciTech Connect (OSTI)

    Swinth, K.L.; Vallario, E.J.

    1987-09-01T23:59:59.000Z

    Participants discussed current practices, efforts to upgrade the quality of beta measurements, and initiatives necessary to improve the measurement and control of beta doses. This proceedings includes papers presented at the workshop, transcripts of panel and open discussions, and documentation of question and answer sessions. The information exchange resulting from this meeting is expected to provide a clearer focus on the problems of beta measurements.

  1. alpha energy measurements: Topics by E-print Network

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

    with ATLAS Jet Production Measurements. CERN Preprints Summary: An inclusive jet multiplicity ratio is sensitive to the strong coupling constant, alphaS and has reduced...

  2. Measurement and Verification of Low Income Energy Efficiency...

    Open Energy Info (EERE)

    Measurement and evaluation methodologies for characterizing the lighting and refrigeration programs provided in slum and peri-slum areas include household surveys, end-use...

  3. Measure Guideline: Energy-Efficient Window Performance and Selection

    SciTech Connect (OSTI)

    Carmody, J.; Haglund, K.

    2012-11-01T23:59:59.000Z

    This document provides guidelines for the selection of energy-efficient windows in new and existing residential construction in all US climate zones. It includes information on window products, their attributes and performance. It provides cost/benefit information on window energy savings as well as information on non-energy benefits such as thermal comfort and reduced HVAC demands. The document also provides information on energy impacts of design decisions such as window orientation, total glazing area and shading devices and conditions. Information on resources for proper window installation is included as well. This document is for builders, homeowners, designers and anyone making decisions about selecting energy efficient window. It is intended to complement other Building America information and efforts.

  4. Measured energy performance of a US-China demonstration energy-efficient office building

    E-Print Network [OSTI]

    Xu, Peng; Huang, Joe; Jin, Ruidong; Yang, Guoxiong

    2006-01-01T23:59:59.000Z

    China demonstration energy- efficient commercial building”,China Demonstration Energy Efficient Office Building insideUS-China demonstration energy-efficient office building Peng

  5. Measured energy performance of a US-China demonstration energy-efficient office building

    E-Print Network [OSTI]

    Xu, Peng; Huang, Joe; Jin, Ruidong; Yang, Guoxiong

    2006-01-01T23:59:59.000Z

    analysis of building energy efficiency in China. Tsinghuaand energy efficiency potential in public buildings inraise the energy-efficiency awareness of building owners and

  6. Preliminary Analysis of Energy Consumption for Cool Roofing Measures

    SciTech Connect (OSTI)

    Mellot, Joe [The Garland Company] [The Garland Company; Sanyal, Jibonananda [ORNL] [ORNL; New, Joshua Ryan [ORNL] [ORNL

    2013-01-01T23:59:59.000Z

    The spread of cool roofing has been more than prolific over the last decade. Driven by public demand and by government initiatives cool roofing has been a recognized low cost method to reduce energy demand by reflecting sunlight away from structures and back in to the atmosphere. While much of the country can benefit from the use of cool coatings it remains to be seen whether the energy savings described are appropriate in cooler climates. By use of commonly available calculators one can analyze the potential energy savings based on environmental conditions and construction practices.

  7. Evaluation, Measurement, and Verification of Energy Data | Department of

    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,OfficeEnd of Year 2010Salt | Department ofEvaluationof theEnergy Energy Data

  8. Prioritization Tool Measurement Input Form | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015of 2005UNS Electric, Inc.DepartmentFleetEnergyDepartmentMay 16,

  9. Sandia Energy - Direct Measurement of Key Molecule Will Increase Accuracy

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

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

  10. Residual Stress Measurements in Thin Coatings | 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 ofEnergy at Waste-to-Energy usingof Enhanced GeothermalInformationResidential2011 DOE

  11. Residual Stress Measurements in Thin Coatings | 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 ofEnergy at Waste-to-Energy usingof Enhanced GeothermalInformationResidential2011

  12. Residual Stress Measurements in Thin Coatings | 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 ofEnergy at Waste-to-Energy usingof Enhanced GeothermalInformationResidential201110

  13. Residual Stress Measurements in Thin Coatings | 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 ofEnergy at Waste-to-Energy usingof Enhanced GeothermalInformationResidential20111009

  14. White House Highlights New DOE Measures to Advance Renewable Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015ofDepartment of EnergyThe U.S. Department ofFebruaryNovember

  15. Policies and Measures to Realise Industrial Energy Efficiency and Mitigate

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal PwerPerkins County, Nebraska: EnergyPiratini Energia S6665°,Jump to:Pleasant, NewOhio:Climate

  16. Making Mobile Measurement Using an EEPS Spectrometer | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomyDr.Energy Maine StateEnergy MakingMaking

  17. ESPC ENABLE Measurement and Verification Protocol | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy Chinaof EnergyImpactOn July 2, 2014 in the Federal Register,describes the

  18. ENERGY MEASUREMENTS GROUP ECT FOLLOW-UP REPORT

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-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 AprilA group currentBradleyTableSelling CorpNew 1325.8.Enaineer District2,, EGsG ENERGY

  19. Sandia Energy - Improved Method to Measure Glare and Reflected Solar

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757 (1)Tara46EnergyPowerHighlights -Igal Brener Home

  20. IEA Policies and Measures Database | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup | OpenHunan Runhua New Energy DevelopmentListI SolCaribbean |IDTPolicies

  1. Brazil-Measurement and Performance Tracking (MAPT) Initiative | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof EnergyInnovation in CarbonofBiotinsBoston CollegeBrazil TimberLow

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

    E-Print Network [OSTI]

    LBNL-6184E A SOFTWARE TOOL TO COMPARE MEASURED AND SIMULATED BUILDING ENERGY PERFORMANCE DATA of California. #12;A SOFTWARE TOOL TO COMPARE MEASURED AND SIMULATED BUILDING ENERGY PERFORMANCE DATA Tobias and simulated performance data. In context of this method, we developed a software tool that provides graphing

  3. Home Performance with Energy Star High Efficiency Measure Incentive (HEMI)

    Broader source: Energy.gov [DOE]

    The New York State Research and Development Authority (NYSERDA) offers an incentive for homeowners of 1-4 homes that participate in the Home Performance with Energy Star program. The program...

  4. The significance of energy storage for renewable energy generation and the role of instrumentation and measurement.

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 The significance of energy storage for renewable energy generation and the role and Alternative Energies Commission INES: National Institute For Solar Energy ENERGY STORAGE: FROM PRESENT TO EMERGING TECHNOLOGIES Energy storage is not a new concept but is currently getting increasing importance

  5. Sandia Energy - CRF Researchers Measure Reaction Rates of Second Key

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

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

  6. Property:NumberOfMeasuringStations | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal PwerPerkins County,

  7. Cool roofs as an energy conservation measure for federal buildings

    SciTech Connect (OSTI)

    Taha, Haider; Akbari, Hashem

    2003-04-07T23:59:59.000Z

    We have developed initial estimates of the potential benefits of cool roofs on federal buildings and facilities (building scale) as well as extrapolated the results to all national facilities under the administration of the Federal Energy Management Program (FEMP). In addition, a spreadsheet ''calculator'' is devised to help FEMP estimate potential energy and cost savings of cool roof projects. Based on calculations for an average insulation level of R-11 for roofs, it is estimated that nationwide annual savings in energy costs will amount to $16M and $32M for two scenarios of increased roof albedo (moderate and high increases), respectively. These savings, corresponding to about 3.8 percent and 7.5 percent of the base energy costs for FEMP facilities, include the increased heating energy use (penalties) in winter. To keep the cost of conserved energy (CCE) under $0.08 kWh-1 as a nationwide average, the calculations suggest that the incremental cost for cool roofs should not exceed $0.06 ft-2, assuming that cool roofs have the same life span as their non-cool counterparts. However, cool roofs usually have extended life spans, e.g., 15-30 years versus 10 years for conventional roofs, and if the costs of re-roofing are also factored in, the cutoff incremental cost to keep CCE under $0.08 kWh-1 can be much higher. In between these two ends, there is of course a range of various combinations and options.

  8. Measurement of intergranular attack in stainless steel using ultrasonic energy

    DOE Patents [OSTI]

    Mott, Gerry (Pittsburgh, PA); Attaar, Mustan (Monroeville, PA); Rishel, Rick D. (Monroeville, PA)

    1989-08-08T23:59:59.000Z

    Ultrasonic test methods are used to measure the depth of intergranular attack (IGA) in a stainless steel specimen. The ultrasonic test methods include a pitch-catch surface wave technique and a through-wall pulse-echo technique. When used in combination, these techniques can establish the extent of IGA on both the front and back surfaces of a stainless steel specimen from measurements made on only one surface.

  9. Measurement and verifiction (M&V) guidelines for federal energy projects

    SciTech Connect (OSTI)

    NONE

    1996-02-01T23:59:59.000Z

    This document provides procedures and guidelines for quantifying the savings resulting from the installation of Energy Conservation Measures (ECMs) implemented with federal Energy Savings Performance Contracts (ESPCs) or task orders implemented under a federal IDIQ contract. The first section of this document provides an overview of measurement and verification (M&V) options and procedures. The second, third, and fourth sections provide standardized measurement and verification (M&V) methods for common types of ECMs.

  10. The Need to Measure Low Energy Anti-Neutrinos (E Sun

    E-Print Network [OSTI]

    O. Manuel

    2004-10-06T23:59:59.000Z

    Measurements are needed of low energy, anti-neutrinos generated by possible neutron decay at the core of the Sun. The measurement will test the validity of a proposal that solar luminosity, neutrinos, and the solar wind are products of a chain of reactions triggered by neutron emission from the solar core. Inverse beta-decay of 87-day S-35, induced by capture of low-energy anti-neutrinos on Cl-35, is a likely candidate for this measurement.

  11. Energy Storage & Delivery The goal of this project is to deliver measurement methods specific to

    E-Print Network [OSTI]

    Energy Storage & Delivery Materials The goal of this project is to deliver measurement methods specific to polymeric and organic materials needed in next generation energy storage and delivery. · The NIST team is works closely with leaders in the energy storage and delivery field, including General

  12. A New Energy Efficiency Measure for Quasi-Static MIMO Elena Veronica Belmega

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A New Energy Efficiency Measure for Quasi-Static MIMO Channels Elena Veronica Belmega LSS (joint is accounted for. We first review the existing results w.r.t energy efficiency functions (benefit per cost to the MIMO case. Then, we introduce a new energy efficiency metric based on the outage probability. We

  13. An Opportunistic Scheduler To Balance Performance Measures and Energy Consumption in Wireless Networks: Design and Implementation

    E-Print Network [OSTI]

    Yau, David K Y

    An Opportunistic Scheduler To Balance Performance Measures and Energy Consumption in Wireless scheduler that can balance the energy consumption by an idle system and the performance of motion prediction Chinese University of Hong Kong Shatin, Hong Kong cslui@cse.cuhk.edu.hk Abstract Energy management

  14. Calculations of free energies in liquid and solid phases: Fundamental measure density-functional approach

    E-Print Network [OSTI]

    Song, Xueyu

    Calculations of free energies in liquid and solid phases: Fundamental measure density, a theoretical description of the free energies and correlation functions of hard-sphere (HS) liquid and solid-Chandler-Andersen perturbation theory, free energies of liquid and solid phases with many interaction potentials can be obtained

  15. PUBLISHED ONLINE: 29 JULY 2012 | DOI: 10.1038/NPHYS2375 Experimental free-energy measurements

    E-Print Network [OSTI]

    Loss, Daniel

    ARTICLES PUBLISHED ONLINE: 29 JULY 2012 | DOI: 10.1038/NPHYS2375 Experimental free-energy-molecule technologies have made it possible to use irreversible work measurements to extract free-energy differences associated with the mechanical (un)folding of molecules. To date, free-energy recovery has been focused

  16. Energy analysis of substorms based on remote sensing techniques, solar wind measurements, and geomagnetic indices

    E-Print Network [OSTI]

    Ã?stgaard, Nikolai

    Energy analysis of substorms based on remote sensing techniques, solar wind measurements wind Citation: Ã?stgaard, N., G. Germany, J. Stadsnes, and R. R. Vondrak, Energy analysis of substorms satellite have been used to examine the energy deposition in the Northern Hemisphere by precipitating

  17. Measuring the Client Performance and Energy Consumption in Mobile Cloud Gaming

    E-Print Network [OSTI]

    Chen, Sheng-Wei

    Measuring the Client Performance and Energy Consumption in Mobile Cloud Gaming Chun-Ying Huang1, Po-constrained devices may lead to inferior performance and high energy consumption. For example, the gaming frame rate and energy consumption of mobile clients is critical to the success of the new mobile cloud gaming ecosystem

  18. EM Corporate Performance Measures - Complex Wide | 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:Revised FindingDepartmentDepartmentStatementEnergy EMEMofComplex Wide EM

  19. White House Highlights New DOE Measures to Advance Renewable 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 742EnergyOn AprilA group currentBradley NickellApril 16, 2008 TBD-0075 -In the Matter ofDeployment

  20. Trapping and Measuring Charged Particles in Liquids - Energy Innovation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2,EHSS A-Z Site Map Organization Chart EHSSEffects

  1. ENERGY MEASUREMENTS GROUP EG&G SURVEY REPORT

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-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 AprilA group currentBradleyTableSelling7111AWell: Gas productionDynamic ,

  2. ENERGY MEASUREMENTS GROUP EG&G Survey Report

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-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 AprilA group currentBradleyTableSelling7111AWell: Gas productionDynamic ,kL2' . ",-

  3. Rule to Support Increased Energy Measurement and Efficient Building Design

    Office of Environmental Management (EM)

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

  4. Superior Energy Performance Measurement and Verification Protocol for

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014,Zaleski -BlueprintThis document details theIndustry | Department of

  5. National Residential Efficiency Measures Database | 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 offOCHCO2:Introduction toManagement ofConverDyn NOPRNancy SutleyNationalOverview |Residential

  6. Paleomagnetic Measurements At Coso Geothermal Area (2006) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompanyPCN Technology Jump

  7. Operations and Maintenance Program Measurement | 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 Contamination in ManyDepartment ofOil'sEnergy 9 OperationsOperations and

  8. Securing Wide Area Measurement Systems | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideo »UsageSecretary of Energy Advisory BoardSecuring WLANs using

  9. List of Comprehensive Measures/Whole Building Incentives | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOf Kilauea Volcano,LakefrontLighthouse SolarIList

  10. India-Measurement and Performance Tracking (MAPT) Initiative | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache serverDialogue,

  11. Safety Measures a hinder for Geothermal Drilling | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |Rippey Jump to:WY) JumpLandSRT JumpSMUDSafesky

  12. Data Center Energy Efficiency Measurement Assesment Kit Guide and

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No53197 This work was performedEnergySpecification |

  13. Data Center Energy Efficiency Measurement Assesment Kit Guide and Specification

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No53197 This work was performedEnergySpecification |Data

  14. Measurement and Verification of Low Income Energy Efficiency Programs in

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose Bend <StevensMcClellan,II Jump to: navigation,MeadIIIof

  15. National Residential Efficiency Measures Database | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasoleTremor(Question)8/14/2007NCPVEnergyOpen

  16. Measuring the Resilience of Energy Distribution Systems | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaeferApril 1,(EAC) Richard2015 RD Workshop AgendaNationalWorkSome

  17. Thermal Imaging Technique for Measuring Mixing of Fluids - Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in theTheoretical Study onThermal Hydraulic

  18. Microfluidic Flow Assay for Measuring Hemostatic Phenotypes - Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighand Retrievals fromprocess used inEnergyInnovation Portal

  19. ENERGY MEASUREMENTS EGG-10282-1063 UC-41

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-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 AprilA group currentBradleyTableSelling CorpNew 1325.8.Enaineer District2,

  20. Test device for measuring permeability of a barrier material - Energy

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

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

  1. Guidelines for Software Measurement, SQAS | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(Fact Sheet), GeothermalGrid Integration0-1 March 2013EnergyFOR SELECTING

  2. Transport Activity Measurement Toolkit (TAMT) | 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 Edit withTianlin Baxin Hydropower StationTown ofTown

  3. Sensor Rapidly Measures the Concentration of Oxygen in Fluids - Energy

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

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

  4. Sandia Energy - New Polarized-Depolarized Measurement Capability Extends

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

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

  5. National Residential Efficiency Measures Database | 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 Contamination in Many DevilsForum |Energy NovemberC O OR DI N

  6. Real Time Tailpipe Emission Measurements | 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, 2012 Qualified11Department of Energy ReaffirmingReal

  7. PHYSICAL REVIEW C 81, 014607 (2010) Fission fragment mass and energy distributions as a function of incident neutron energy measured

    E-Print Network [OSTI]

    Danon, Yaron

    , and Nuclear Engineering, NES 1-25, 110 8th Street, Troy, New York 12180, USA 2 Los Alamos National Lab, Los; published 19 January 2010) A new method of measuring fission fragment mass and energy distributions as a function of incident neutron energy are necessary for accurate, detailed neutronics calculations for new

  8. Cooling Energy Measurements of Houses with Attics Containing Radiant Barriers

    E-Print Network [OSTI]

    Levins, W. P.; Karnitz, M. A.; Knight, D. K.

    1986-01-01T23:59:59.000Z

    Tests were conducted by Oak Ridge National Laboratory (ORNL) to determine the magnitude of the energy savings brought about by installing radiant barriers in the attics of single-family houses. The radiant barrier used for this test was a product...

  9. The Impact of Deregulation on Energy Conservation and DSM Measures

    E-Print Network [OSTI]

    Brasovan, M. W.

    2002-01-01T23:59:59.000Z

    in the Texas market received thus far? 5) What known market indicators can energy service companies (ESCOs) watch to know when it is a good time to propose different options to customers? 6) What regulatory changes could affect economics in the future? 7...

  10. Measured Performance of Energy-Efficient Computer Systems

    E-Print Network [OSTI]

    Floyd, D. B.; Parker, D. S.

    1996-01-01T23:59:59.000Z

    climate. Recent surveys have shown that the use of personal computer systems in commercial office buildings is expanding rapidly. The energy consumption of such a growing end-use also has a significant impact on the total building power demand. In warmer...

  11. Measured Performance of Energy-Efficient Computer Systems 

    E-Print Network [OSTI]

    Floyd, D. B.; Parker, D. S.

    1996-01-01T23:59:59.000Z

    The intent of this study is to explore the potential performance of both Energy Star computers/printers and add-on control devices individually, and their expected savings if collectively applied in a typical office building in a hot and humid...

  12. Energy Efficiency / Renewable Energy (EE/RE) Projects in Texas Public Schools: Top Four Measures 

    E-Print Network [OSTI]

    Kim, H.; Haberl, J.; Mukhopadhyay, J.; Baltazar, J.C.; Do, S.; Kim, K.; Yazdani, B.; Yarborough, J.

    2012-01-01T23:59:59.000Z

    The Energy Systems Laboratory (Laboratory) is pleased to provide our second annual report, Energy Efficiency/Renewable Energy Impact in the Texas Emissions Reduction Plan to the Texas Council on Environmental Quality (TCEQ) in fulfillment of its...

  13. Uniform Methods Project: Methods for Determining Energy Efficiency Savings for Specific Measures; January 2012 - March 2013

    SciTech Connect (OSTI)

    Jayaweera, T.; Haeri, H.

    2013-04-01T23:59:59.000Z

    Under the Uniform Methods Project, DOE is developing a framework and a set of protocols for determining the energy savings from specific energy efficiency measures and programs. The protocols provide a straightforward method for evaluating gross energy savings for common residential and commercial measures offered in ratepayer-funded initiatives in the United States. They represent a refinement of the body of knowledge supporting energy efficiency evaluation, measurement, and verification (EM&V) activities. This document deals with savings from the following measures: commercial and industrial lighting, commercial and industrial lighting controls, small commercial and residential unitary and split system HVAC cooling equipment, residential furnaces and boilers, residential lighting, refrigerator recycling, whole-building retrofit using billing analysis, metering, peak demand and time-differentiated energy savings, sample design, survey design and implementation, and assessing persistence and other evaluation issues.

  14. Measured energy performance of a US-China demonstration energy-efficient office building

    E-Print Network [OSTI]

    Xu, Peng; Huang, Joe; Jin, Ruidong; Yang, Guoxiong

    2006-01-01T23:59:59.000Z

    as well as an ice thermal energy storage (TES) system in thefrom the ice thermal energy storage system. More data on the

  15. Case studies of energy-efficient office technologies: Measured savings and user response

    SciTech Connect (OSTI)

    Piette, M.A.

    1995-12-01T23:59:59.000Z

    The primary objectives of this project are to document the energy savings and user satisfaction with new, energy-efficient office technologies and products, plus disseminate measured results to help motivate greater energy savings with proper use of these technologies and products. Secondary objectives include providing useful feedback on products, policies, and programs to industry and government energy planners and managers. In addition, there will be the exploration of low-cost methods for obtaining office technology performance data.

  16. SEEC- Regional Energy Baselines and Measurement and Verification Protocols

    E-Print Network [OSTI]

    Kim, H.; Haberl, J. S.; Verdict, M.

    1965 1970 1975 1980 1985 1990 1995 2000 2005 T o ta l E n e rg y U s e p e r C a p it a ( 1 0 6 B tu ) Y e a r Tota l Ene rgy Use per Ca pita : U.S . vs. SE EC 12 - Sta tes (1 96 0 - 2006) S E E C 1 2 - S t a t e s US Hyojin Kim Jeff... the source, selected data codes, and term definitions. The stated deliverables for the SEEC Subtask 3.1 consists of four parts: ? Energy use per capita ranked by state for 2006 (latest year data available); ? Historical energy use per capita...

  17. Measured energy performance of a US-China demonstration energy-efficient office building

    E-Print Network [OSTI]

    Xu, Peng; Huang, Joe; Jin, Ruidong; Yang, Guoxiong

    2006-01-01T23:59:59.000Z

    buildings. Measured electricity consumption Figure 3 showsthe measured total electricity consumption of the buildingmonths of 2005. The electricity consumption per floor area

  18. Measurement of Energy Distribution of Deuterium-Tritium Fusion Alpha-particles and MeV Energy Knock-on Deuterons in JET Plasmas

    E-Print Network [OSTI]

    Measurement of Energy Distribution of Deuterium-Tritium Fusion Alpha-particles and MeV Energy Knock-on Deuterons in JET Plasmas

  19. The measured energy impact of air leakage on a house

    E-Print Network [OSTI]

    Vaidya, Shilpa Arvind

    1993-01-01T23:59:59.000Z

    +mC. &(1 ? e) (3. 13) 2p and, we have UA( 7'mdoor 7'ouldoor ) Auolor solar = ( power (3 14) Asplar is deduced from the test in which the house has no air leakage, i e. , when UA = UAp In this case, A~ala~ =17Ap fu (3 ?) 7 ? 7' uuloor ouuioor where j...) & power i. e. , UAp- Ti udoor ? Touidoor ? f u 7 solar (3. 18) 21 Then UA can be determined as o&rer + VAtkfi (sol&rr UA = To&door 7 oai&ioor (3 19) 3. 2. 3. Infiltration Heat Exchange Effectiveness, IIIEE and energy saving ratio, ttc...

  20. Retail Building Guide for Entrance Energy Efficiency Measures

    SciTech Connect (OSTI)

    Stein, J.; Kung, F.

    2012-03-01T23:59:59.000Z

    This booklet is based on the findings of an infiltration analysis for supermarkets and large retail buildings without refrigerated cases. It enables retail building managers and engineers to calculate the energy savings potential for vestibule additions for supermarkets; and bay door operation changes in large retail stores without refrigerated cases. Retail managers can use initial estimates to decide whether to engage vendors or contractors of vestibules for pricing or site-specific analyses, or to decide whether to test bay door operation changes in pilot stores, respectively.

  1. Evaluation, Measurement, and Verification Overview | 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,OfficeEnd of Year 2010Salt | Department ofEvaluationof the

  2. Sandia Energy - Sandia Researchers Are First to Measure Thermoelectric

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

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

  3. DOE Resources Help Measure Building Energy Benchmarking Policy & Program

    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,Office of Policy, OAPM |TRU WasteAdministratorDeployment |ViolatingEffectiveness

  4. Data Center Energy Efficiency Measurement Assesment Kit Guide and

    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,Office of Policy, OAPMMilestone | DepartmentEA FeaturedDUFM304WDB)Specification |

  5. Sandia Energy - Measurements of Thermal Stratification in a Homogenous

    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-VoltagePowerUpdatesDevelopmentMaterials,Charge

  6. Measurement & Verification with Green Button Data | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOil & GasTechnical Publications »ofHydrogenEnergy 8,

  7. PFT Air Infiltration Measurement Technique | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)IntegratedSpeeding access toTest andOptimize832 2.860SelectedGLOWAGREEMENT ONPFT Air

  8. Prioritization Tool Measurement Input Form | 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+ Report Presentation: Hubs+DepartmentDepartment ofJAN

  9. Superior Energy Performance Measurement and Verification Protocol for Industry

    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.pdfBreakingMayDepartment of StaffingStorageEnergy 2,SuperFAQs SuperiorSuperior

  10. Improved Method to Measure Glare and Reflected Solar Irradiance - Energy

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

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

  11. Electrical Calcium Test for Measuring Barrier Permeability - Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscoveringESnetEffectiveElectric MeteringElectricA

  12. Measurement of the UHECR energy spectrum from hybrid data of the Pierre Auger Observatory

    E-Print Network [OSTI]

    Lorenzo Perrone; for the the Pierre Auger Collaboration

    2007-06-18T23:59:59.000Z

    More than two years of fluorescence detector data collected in coincidence with at least one station of the surface detector array (``hybrid data'') are used to measure the flux and energy spectrum of cosmic rays above about 10$^{18}$ eV. The hybrid measurement extends towards lower energies the spectrum measured with the surface detector data only, and provides a cross-check with an independent data set. The determination of the fluorescence detector aperture and of its live-time, which is the major aspect of this measurement, is illustrated in detail. Our current estimate of the corresponding systematic uncertainties are given.

  13. Health effects associated with energy conservation measures in commercial buildings

    SciTech Connect (OSTI)

    Stenner, R.D.; Baechler, M.C.

    1990-09-01T23:59:59.000Z

    Indoor air quality can be impacted by hundreds of different chemicals. More than 900 different organic compounds alone have been identified in indoor air. Health effects that could arise from exposure to individual pollutants or mixtures of pollutants cover the full range of acute and chronic effects, including largely reversible responses, such as rashes and irritations, to the irreversible toxic and carcinogenic effects. These indoor contaminants are emitted from a large variety of materials and substances that are widespread components of everyday life. Pacific Northwest Laboratory conducted a search of the peer-reviewed literature on health effects associated with indoor air contaminants for the Bonneville Power Administration to aid the agency in the preparation of environmental documents. Results are reported in two volumes. Volume 1 summarizes the results of the search of the peer-reviewed literature on health effects associated with a selected list of indoor air contaminants. In addition, the report discusses potential health effects of polychlorinated biphenyls and chlorofluorocarbons. All references to the literature reviewed are found in this document Volume 2. Volume 2 provides detailed information from the literature reviewed, summarizes potential health effects, reports health hazard ratings, and discusses quantitative estimates of carcinogenic risk in humans and animals. Contaminants discussed in this report are those that; have been measured in the indoor air of a public building; have been measured (significant concentrations) in test situations simulating indoor air quality (as presented in the referenced literature); and have a significant hazard rating. 38 refs., 7 figs., 23 tabs.

  14. Have You Used an Electric Meter to Measure Your Energy Use? ...

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

    of fun to put actual numbers to the various items in your home. Have you used an electric meter to measure your energy use? Tell us about your experience. Each Thursday, you have...

  15. MEASUREMENT OF THE 8 B SOLAR NEUTRINO ENERGY SPECTRUM AT THE SUDBURY NEUTRINO OBSERVATORY

    E-Print Network [OSTI]

    Waltham, Chris

    MEASUREMENT OF THE 8 B SOLAR NEUTRINO ENERGY SPECTRUM AT THE SUDBURY NEUTRINO OBSERVATORY Monica me everything from the fine details of signal extraction, iii #12; Fortran and C++ to bird watching

  16. 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...

  17. Measurement of the cosmic ray energy spectrum using hybrid events of the Pierre Auger Observatory

    E-Print Network [OSTI]

    Mariangela Settimo; for the Pierre Auger Collaboration

    2012-10-11T23:59:59.000Z

    The energy spectrum of ultra-high energy cosmic rays above 10$^{18}$ eV is measured using the hybrid events collected by the Pierre Auger Observatory between November 2005 and September 2010. The large exposure of the Observatory allows the measurement of the main features of the energy spectrum with high statistics. Full Monte Carlo simulations of the extensive air showers (based on the CORSIKA code) and of the hybrid detector response are adopted here as an independent cross check of the standard analysis (Phys. Lett. B 685, 239 (2010)). The dependence on mass composition and other systematic uncertainties are discussed in detail and, in the full Monte Carlo approach, a region of confidence for flux measurements is defined when all the uncertainties are taken into account. An update is also reported of the energy spectrum obtained by combining the hybrid spectrum and that measured using the surface detector array.

  18. 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...

  19. A small low energy cyclotron for radioisotope measurements

    SciTech Connect (OSTI)

    Bertsche, K.J.

    1989-11-01T23:59:59.000Z

    Direct detection of {sup 14}C by accelerator mass spectrometry has proved to be a much more sensitive method for radiocarbon dating than the decay counting method invented earlier by Libby. A small cyclotron (the cyclotrino'') was proposed for direct detection of radiocarbon in 1980. This combined the suppression of background through the use of negative ions, which had been used effectively in tandem accelerators, with the high intrinsic mass resolution of a cyclotron. Development of a small electrostatically-focused cyclotron for use as a mass spectrometer was previously reported but the sensitivity needed for detection of {sup 14}C at natural abundance was not achieved. The major contributions of this work are the integration of a high current external ion source with a small flat-field, electrostatically-focused cyclotron to comprise a system capable of measuring {sup 14}C at natural levels, and the analysis of ion motion in such a cyclotron, including a detailed analysis of phase bunching and its effect on mass resolution. A high current cesium sputter negative ion source generates a beam of carbon ions which is pre-separated with a Wien filter and is transported to the cyclotron via a series of electrostatic lenses. Beam is injected radially into the cyclotron using electrostatic deflectors and an electrostatic mirror. Axial focusing is entirely electrostatic. A microchannel plate detector is used with a phase-grated output. In its present form the system is capable of improving the sensitivity of detecting {sup 14}C in some biomedical experiments by a factor of 10{sup 4}. Modifications are discussed which could bring about an additional factor of 100 in sensitivity, which is important for archaeological and geological applications. Possibilities for measurements of other isotopes, such as {sup 3}H, and {sup 10}Be, and {sup 26}Al, are discussed. 70 refs.

  20. Manufacturing Energy and Carbon Footprint References | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment3311, 3312), October 2012 (MECS 2006) |

  1. Manufacturing Energy and Carbon Footprints Scope | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment3311, 3312), October 2012 (MECS 2006) |Footprints Scope

  2. Experimental techniques for measurement of available potential energy as applied to the Drake Passage region

    E-Print Network [OSTI]

    Jessen, Paul Frederik

    1986-01-01T23:59:59.000Z

    EXPERIMENTAL TECHNIQUES FOR MEASUREMENT OF AVAILABLE POTENTIAL ENERGY AS APPLIED TO THE DRAKE PASSAGE REGION A Thesis by PAUL FREDERIK JESSEN Submitted to the Graduate College of Texas A6M University in partial fulfillment of the requirement... for the degree of MASTER OF SCIENCE May 1986 Major Subject: Oceanography EXPERIMENTAL TECHNIQUES FOR MEASUREMENT OF AVAILABLE POTENTIAL ENERGY AS APPLIED TO THE DRAKE PASSAGE REGION A Thesis by PAUL FREDERIK JESSEN Approved as to style and content by...

  3. Productive Energy of Some Feeds and Foods as Measured by Gains of Energy by Growing Chickens.

    E-Print Network [OSTI]

    Fraps, G. S. (George Stronach); Carlyle, E. C. (Elmer Cardinal)

    1942-01-01T23:59:59.000Z

    by the animal. Metabolizable energy is the energy of the food less the energy in the excrement, both fecal and urinal and, in case of ruminants, in gases pro- duced by fermentation. It includes all the energy of the food which can be used by the animal... ............................ Citrus pulp, dried ----------,,--- Citrus pulp, dried ---- - ----------- Citrus pulp, dried ---------------- Cocoanut oil meal ---------------- Cocoanut oil meal ------------,--- Corn bran ---------,---------,-,, Corn bran...

  4. Manufacturing Perspective | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment3311, 3312), October 2012 (MECS 2006) |Footprints

  5. 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.

  6. Gibbs Free Energy of Formation of Zircon from Measurement of Solubility in H2O

    E-Print Network [OSTI]

    Manning, Craig

    Gibbs Free Energy of Formation of Zircon from Measurement of Solubility in H2O Robert C. Newton, the data constrain the Gibbs free energy of zircon from its oxides at 298 K, 105 Pa, to be À19.3071.16 k

  7. Thermodynamic Modeling of HVAC Plant Cooling Equipment for Quantification of Energy Savings Through Continuous Commissioning Measures

    E-Print Network [OSTI]

    Rivera, Steven

    2012-02-14T23:59:59.000Z

    , there is no means for quantifying the potential energy savings from applying plant-side CC measures. The quasi-steady-state method and a regression of EnergyPlus library data were used for chiller modeling and the Merkel method was used for cooling tower modeling...

  8. Final Map Draft Comparison Report WIND ENERGY RESOURCE MODELING AND MEASUREMENT PROJECT

    E-Print Network [OSTI]

    SOLUTIONS, LLC (now AWS Truewind LLC) 255 FULLER ROAD, SUITE 274 ALBANY, NEW YORK Michael Brower PrincipalII Final Map Draft Comparison Report #12;WIND ENERGY RESOURCE MODELING AND MEASUREMENT PROJECT Tel: 978-749-9591 Fax: 978-749-9713 mbrower@awstruewind.com August 10, 2004 #12;2 WIND ENERGY RESOURCE

  9. Radiated seismic energy from coda measurements and no scaling in apparent stress with seismic moment

    E-Print Network [OSTI]

    Prieto, Germán A.

    Radiated seismic energy from coda measurements and no scaling in apparent stress with seismic March 2010; accepted 9 April 2010; published 31 August 2010. [1] The seismic coda consists of scattered of radiated wave energy. We apply an empirical Green's function (EGF) method to the seismic coda in order

  10. American Wind Energy Association, Denver, May 2005 Uncertainties in Results of Measure-Correlate-Predict Analyses

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    American Wind Energy Association, Denver, May 2005 Uncertainties in Results of Measure-correlate-predict (MCP) algorithms are used to predict the wind resource at target sites for wind power development. MCP methods model the relationship between wind data (speed and direction) measured at the target site

  11. Nuclear fission time measurements as a function of excitation energy. A crystal blocking experiment

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    - 1 - Nuclear fission time measurements as a function of excitation energy. A crystal blocking information on nuclear dissipation, and, in particular, long fission times (>10-18 s) that cannot be predicted, France Abstract : Fission times of lead and uranium nuclei have been measured at GANIL by the crystal

  12. Measurement of the solar neutrino energy spectrum at Super-Kamiokande

    E-Print Network [OSTI]

    Tokyo, University of

    Measurement of the solar neutrino energy spectrum at Super-Kamiokande Hirokazu Ishino Doctor Thesis, University of Tokyo January 1999 #12; Abstract Measurements of solar neutrinos at Super-Kamiokande are presented. Super-Kamiokande s- tarted taking data on the 1st of April in 1996. In the present thesis, data

  13. Optics measurement algorithms and error analysis for the proton energy frontier

    E-Print Network [OSTI]

    Langner, A

    2015-01-01T23:59:59.000Z

    Optics measurement algorithms have been improved in preparation for the commissioning of the LHC at higher energy, i.e., with an increased damage potential. Due to machine protection considerations the higher energy sets tighter limits in the maximum excitation amplitude and the total beam charge, reducing the signal to noise ratio of optics measurements. Furthermore the precision in 2012 (4 TeV) was insufficient to understand beam size measurements and determine interaction point (IP) ?-functions (?). A new, more sophisticated algorithm has been developed which takes into account both the statistical and systematic errors involved in this measurement. This makes it possible to combine more beam position monitor measurements for deriving the optical parameters and demonstrates to significantly improve the accuracy and precision. Measurements from the 2012 run have been reanalyzed which, due to the improved algorithms, result in a significantly higher precision of the derived optical parameters and decreased...

  14. Measurement and Interpretation of Interaction of MeV Energy Protons with Lower Hybrid Waves in JET Plasmas

    E-Print Network [OSTI]

    Measurement and Interpretation of Interaction of MeV Energy Protons with Lower Hybrid Waves in JET Plasmas

  15. High-Energy Fuel Ion Diagnostics on ITER Derived from Neutron Emission Spectroscopy Measurements on JET DT Plasmas

    E-Print Network [OSTI]

    High-Energy Fuel Ion Diagnostics on ITER Derived from Neutron Emission Spectroscopy Measurements on JET DT Plasmas

  16. Advantages of Financing Continuous Commissioning® as an Energy Conservation Retrofit Measure

    E-Print Network [OSTI]

    Wei, G.; Verdict, M.; Martinez, J. T.

    2005-01-01T23:59:59.000Z

    a major obstacle as they attempt to replace aging ESL-IC-10/05-14 2 infrastructure through energy savings alone. Since the average payback of most CC projects performed by the Energy Systems Laboratory as a stand alone energy improvement... building automation system (BAS), allowing control strategies to be implemented quickly to reduce peak electric demand and electricity and gas usage. Major CC Activities Major CC activities are outlined below with a brief description of each measure...

  17. Measuring savings in energy savings performance contracts using in-place energy management systems -- A case study

    SciTech Connect (OSTI)

    Heinemeier, K.E.; Akbari, H.; Kromer, S. [Lawrence Berkeley National Lab., CA (United States). Energy and Environment Div.

    1996-08-01T23:59:59.000Z

    Energy Management Control Systems (EMCSs) have been used in many projects as a monitoring device to provide information necessary for estimating savings from efficiency measures. This paper discusses a case study that looked in great depth at that use for evaluating savings in Energy Savings Performance Contracting (ESPC). ESPC is one of the increasingly important mechanisms for profiting from energy efficiency in commercial buildings. With ESPC, a contractor finances and installs energy-conversion measures, and the resulting savings in energy bills are shared between the contractor and the building owner. Hence, the method used for determining savings is key to the success of this financing scheme. As a part of their effort to establish measurement and verification methods, the Federal Energy Management Program (FEMP) carried out a pilot study of ESPC, and the EMCS was used in the savings verification for this ESPC contract. This case study also serves as a detailed and quantitative comparison of EMCS and conventional monitoring techniques, according to the guidelines developed in earlier work. This paper discusses the concept of different levels of monitoring savings for ESPC and presents an assessment of the use of EMCS for these levels of monitoring.

  18. A multi-site analysis of random error2 in tower-based measurements of carbon and energy fluxes3

    E-Print Network [OSTI]

    1 A multi-site analysis of random error2 in tower-based measurements of carbon and energy fluxes3 4 Forest Service, 271 Mast Road, Durham, NH 03824 USA.25 #12;RANDOM ERRORS IN ENERGY AND CO2 FLUX MEASUREMENTS Richardson et al. 1 January 13, 2006 Abstract1 Measured surface-atmosphere fluxes of energy

  19. Analysis of Illinois Home Performance with ENERGY STAR(R) Measure Packages

    SciTech Connect (OSTI)

    Baker, J.; Yee, S.; Brand, L.

    2013-09-01T23:59:59.000Z

    Through the Chicagoland Single Family Housing Characterization and Retrofit Prioritization report, the Partnership for Advanced Residential Retrofit characterized 15 housing types in the Chicagoland region based on assessor data, utility billing history, and available data from prior energy efficiency programs. Within these 15 groups, a subset showed the greatest opportunity for energy savings based on BEopt Version 1.1 modeling of potential energy efficiency package options and the percent of the housing stock represented by each group. In this project, collected field data from a whole-home program in Illinois are utilized to compare marketplace-installed measures to the energy saving optimal packages previously developed for the 15 housing types. Housing type, conditions, energy efficiency measures installed, and retrofit cost information were collected from 19 homes that participated in the Illinois Home Performance with ENERGY STAR program in 2012, representing eight of the characterized housing groups. Two were selected for further case study analysis to provide an illustration of the differences between optimal and actually installed measures. Taken together, these homes are representative of 34.8% of the Chicagoland residential building stock. In one instance, actual installed measures closely matched optimal recommended measures.

  20. Measurement of the ortho-positronium confinement energy in mesoporous thin films

    E-Print Network [OSTI]

    Paolo Crivelli; Ulisse Gendotti; André Rubbia; Laszlo Liszkay; Patrice Perez; Catherine Corbel

    2010-05-03T23:59:59.000Z

    In this paper, we present measurements of the ortho-positronium emission energy in vacuum from mesoporous films using the time of flight technique. We show evidence of quantum mechanical confinement in the mesopores that defines the minimal energy of the emitted Ps. Two samples with different effective pore sizes, measured with positron annihilation lifetime spectroscopy, are compared for the data collected in the temperature range 50-400 K. The sample with smaller pore size exhibits a higher minimal energy ($73\\pm$5 meV), compared to the sample with bigger pores ($48\\pm$5 meV), due to the stronger confinement. The dependence of the emission energy with the temperature of the target is modeled as ortho-positronium being confined in rectangular boxes in thermodynamic equilibrium with the sample. We also measured that the yield of positronium emitted in vacuum is not affected by the temperature of the target.

  1. Measured energy performance of a US-China demonstration energy-efficient office building

    E-Print Network [OSTI]

    Xu, Peng; Huang, Joe; Jin, Ruidong; Yang, Guoxiong

    2006-01-01T23:59:59.000Z

    an energy-efficient demonstration building and design centerenergy- efficient demonstration office building and designenergy-efficient materials, space-conditioning systems, controls, and design

  2. Fat to Muscle Ratio Measurements with Dual Energy X Ray Absorbtiometry

    E-Print Network [OSTI]

    Chen, A; Broadbent, C; Zhong, J; Dilmanian, A; Zafonte, F; Zhong, Z

    2014-01-01T23:59:59.000Z

    Accurate measurement of the fat-to-muscle ratio in animal model is important for obesity research. An efficient way to measure the fat to muscle ratio in animal model using dual-energy absorptiometry is presented in this paper. A radioactive source exciting x-ray fluorescence from a target material is used to provide the two x-ray energies needed. The x-rays, after transmitting through the sample, are measured with an energy-sensitive Ge detector. Phantoms and specimens were measured. The results showed that the method was sensitive to the fat to muscle ratios with good linearity. A standard deviation of a few percent in the fat to muscle ratio could be observed with the x-ray dose of 0.001 mGy.

  3. Fat to muscle ratio measurements with dual energy x-ray absorbtiometry

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

    Chen, A.; Zhong, Z.; Luo, J.; Wang, A.; Broadbent, C.; Zhong, J.; Dilmanian, F. A.; Zafonte, F.

    2015-07-01T23:59:59.000Z

    Accurate measurement of the fat-to-muscle ratio in animal model is important for obesity research. An efficient way to measure the fat to muscle ratio in animal model using dual-energy absorptiometry is presented in this paper. A radioactive source exciting x-ray fluorescence from a target material is used to provide the two x-ray energies needed. The x-rays, after transmitting through the sample, are measured with an energy-sensitive Ge detector. Phantoms and specimens were measured. The results showed that the method was sensitive to the fat to muscle ratios with good linearity. A standard deviation of a few percent in the fatmore »to muscle ratio could be observed with the x-ray dose of 0.001 mGy.« less

  4. National Energy Efficiency Evaluation, Measurement and Verification (EM&V) Standard: Scoping Study of Issues and Implementation Requirements

    E-Print Network [OSTI]

    Schiller, Steven R.

    2011-01-01T23:59:59.000Z

    efficiency measures. These guidelines generally derive fromguidelines for verifying the persistence energy savings from conservation measures.and- guidelines Northwest Regional Technical Forum Website. "Northwest Regional Technical Forum (RTF) - Pacific Northwest Deemed Measure

  5. Energy Guideline Factors Provide a Better Measure of Refinery Energy Performance

    E-Print Network [OSTI]

    Libbers, D. D.

    1980-01-01T23:59:59.000Z

    Exxon Company, U.S.A. refineries reduced energy consumption by 25% between 1972 and 1978 compared with an 18% reduction for the U.S. Petroleum Refining Industry over the same period. The Exxon approach to conserving energy in petroleum refining...

  6. Measurement of changes in linear accelerator photon energy through flatness variation using an ion chamber array

    SciTech Connect (OSTI)

    Gao Song; Balter, Peter A. [Department of Radiation Physics, Unit 94, University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, Texas 77030 (United States); Rose, Mark; Simon, William E. [Sun Nuclear Corporation, 425-A Pineda Court, Melbourne, Florida 32940 (United States)

    2013-04-15T23:59:59.000Z

    Purpose: To compare the use of flatness versus percent depth dose (PDD) for determining changes in photon beam energy for a megavoltage linear accelerator. Methods: Energy changes were accomplished by adjusting the bending magnet current by up to {+-}15% in 5% increments away from the value used clinically. Two metrics for flatness, relative flatness in the central 80% of the field (Flat) and average maximum dose along the diagonals normalized by central axis dose (F{sub DN}), were measured using a commercially available planner ionization chamber array. PDD was measured in water at depths of 5 and 10 cm in 3 Multiplication-Sign 3 cm{sup 2} and 10 Multiplication-Sign 10 cm{sup 2} fields using a cylindrical chamber. Results: PDD was more sensitive to changes in energy when the beam energy was increased than when it was decreased. For the 18-MV beam in particular, PDD was not sensitive to energy reductions below the nominal energy. The value of Flat was found to be more sensitive to decreases in energy than to increases, with little sensitivity to energy increases above the nominal energy for 18-MV beams. F{sub DN} was the only metric that was found to be sensitive to both increases and reductions of energy for both the 6- and 18-MV beams. Conclusions: Flatness based metrics were found to be more sensitive to energy changes than PDD, In particular, F{sub DN} was found to be the most sensitive metric to energy changes for photon beams of 6 and 18 MV. The ionization chamber array allows this metric to be conveniently measured as part of routine accelerator quality assurance.

  7. Measurements of ultra-low-energy electron scattering cross sections of atoms and molecules

    SciTech Connect (OSTI)

    Kitajima, M.; Shigemura, K.; Kurokawa, M. [Department of Chemistry, Tokyo Institute of Technology, 152-8551 Tokyo (Japan); Odagiri, T. [Department of Physics, Sophia University, 102-8554 Tokyo, Japan and Department of Chemistry, Tokyo Institute of Technology, 152-8551 Tokyo (Japan); Kato, H.; Hoshino, M.; Tanaka, H. [Department of Physics, Sophia University, 102-8554 Tokyo (Japan); Ito, K. [Photon Factory, Institute of Materials Structure Science, 305-0801 Tsukuba (Japan)

    2014-03-05T23:59:59.000Z

    A new experimental technique for the total cross section measurements of ultra-low energy electron collisions with atoms and molecules utilizing the synchrotron radiation is presented. The technique employs a combination of the penetrating field technique and the threshold photoionization of rare gas atoms using the synchrotron radiation as an electron source in order to produce a high resolution electron beam at very low energy. Absolute total cross sections for electron scattering from He, Ne, Ar, Kr, and Xe in the energy region from extremely low electron energy to 20 eV are presented.

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

    E-Print Network [OSTI]

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

    2013-01-01T23:59:59.000Z

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

  9. DOE/EIA-0555(95)/2 Energy Consumption Series Measuring Energy Efficiency

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline353/06) 2Yonthly Energy : 42Q)2Q)6)2 Energy

  10. The Home Energy Score: Measuring 'MPG' For Your Home | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently AskedEnergyIssuesEnergy Solar Decathlon2001 PowerofUseResearch andThe HarnessedThe

  11. Direct Measurement of the Bubble Nucleation Energy Threshold in a CF3I Bubble Chamber

    E-Print Network [OSTI]

    Behnke, E; Brice, S J; Broemmelsiek, D; Collar, J I; Cooper, P S; Crisler, M; Dahl, C E; Fustin, D; Hall, J; Harnish, C; Levine, I; Lippincott, W H; Moan, T; Nania, T; Neilson, R; Ramberg, E; Robinson, A E; Sonnenschein, A; Vázquez-Jáuregui, E; Rivera, R A; Uplegger, L

    2013-01-01T23:59:59.000Z

    We have directly measured the energy threshold and efficiency for bubble nucleation from iodine recoils in a CF3I bubble chamber in the energy range of interest for a dark matter search. These interactions cannot be probed by standard neutron calibration methods, so we develop a new technique by observing the elastic scattering of 12 GeV/c negative pions. The pions are tracked with a silicon pixel telescope and the reconstructed scattering angle provides a measure of the nuclear recoil kinetic energy. The bubble chamber was operated with a nominal threshold of (13.6+-0.6) keV. Interpretation of the results depends on the response to fluorine and carbon recoils, but in general we find agreement with the predictions of the classical bubble nucleation theory. This measurement confirms the applicability of CF3I as a target for spin-independent dark matter interactions and represents a novel technique for calibration of superheated fluid detectors.

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

    E-Print Network [OSTI]

    Roop, J. M.

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

  13. Measurement of the energy spectrum of underground muons at Gran Sasso with a transition radiation detector

    E-Print Network [OSTI]

    The MACRO Collaboration; M. Ambrosio et al

    1998-07-09T23:59:59.000Z

    We have measured directly the residual energy of cosmic ray muons crossing the MACRO detector at the Gran Sasso Laboratory. For this measurement we have used a transition radiation detector consisting of three identical modules, each of about 12 m^2 area, operating in the energy region from 100 GeV to 1 TeV. The results presented here were obtained with the first module collecting data for more than two years. The average single muon energy is found to be 320 +/- 4 (stat.) +/- 11 (syst.) GeV in the rock depth range 3000-6500 hg/cm^2. The results are in agreement with calculations of the energy loss of muons in the rock above the detector.

  14. Solar Radiation Modeling and Measurements for Renewable Energy Applications: Data and Model Quality; Preprint

    SciTech Connect (OSTI)

    Myers, D. R.

    2003-03-01T23:59:59.000Z

    Measurement and modeling of broadband and spectral terrestrial solar radiation is important for the evaluation and deployment of solar renewable energy systems. We discuss recent developments in the calibration of broadband solar radiometric instrumentation and improving broadband solar radiation measurement accuracy. An improved diffuse sky reference and radiometer calibration and characterization software and for outdoor pyranometer calibrations is outlined. Several broadband solar radiation model approaches, including some developed at the National Renewable Energy Laboratory, for estimating direct beam, total hemispherical and diffuse sky radiation are briefly reviewed. The latter include the Bird clear sky model for global, direct beam, and diffuse terrestrial solar radiation; the Direct Insolation Simulation Code (DISC) for estimating direct beam radiation from global measurements; and the METSTAT (Meteorological and Statistical) and Climatological Solar Radiation (CSR) models that estimate solar radiation from meteorological data. We conclude that currently the best model uncertainties are representative of the uncertainty in measured data.

  15. Recommendations for 15% Above-Code Energy Efficiency Measures for Single Family Residences

    E-Print Network [OSTI]

    Malhotra, M.; Mukhopadhyay, J.; Liu, B.; Culp, C.; Yazdani, B.

    .5 43 200 600 4.7 14 DHW System Measures for Electric / Gas Building RESULTS Energy Savings square4 Tankless ? 9.3% square4 Solar Water Heater ? 15.2% square4 Removal of Pilot Light ? 5.5% Payback Period square4 Tankless Water Heater ? 13... TS RESULTS Energy Use Savings from Individual Measures for All-Electric Building Base Case Tankless Solar DHW Unit & Ducts in Cond. Improved Duct Sealing Increase Air Tightness Shading Overhang Shading & Redstrn. Window Perform. SEER...

  16. A Methodology to Measure Synergy Among Energy-Efficiency Programs at the Program Participant Level

    SciTech Connect (OSTI)

    Tonn, B.E.

    2003-11-14T23:59:59.000Z

    This paper presents a methodology designed to measure synergy among energy-efficiency programs at the program participant level (e.g., households, firms). Three different definitions of synergy are provided: strong, moderate, and weak. Data to measure synergy can be collected through simple survey questions. Straightforward mathematical techniques can be used to estimate the three types of synergy and explore relative synergistic impacts of different subsets of programs. Empirical research is needed to test the concepts and methods and to establish quantitative expectations about synergistic relationships among programs. The market for new energy-efficient motors is the context used to illustrate all the concepts and methods in this paper.

  17. Reliability measures for indexed semi-Markov chains applied to wind energy production

    E-Print Network [OSTI]

    D'Amico, Guglielmo; Prattico, Flavio

    2013-01-01T23:59:59.000Z

    The computation of the dependability measures is a crucial point in the planning and development of a wind farm. In this paper we address the issue of energy production by wind turbine by using an indexed semi-Markov chain as a model of wind speed. We present the mathematical model, we describe the data and technical characteristics of a commercial wind turbine (Aircon HAWT-10kW). We show how to compute some of the main dependability measures such as reliability, availability and maintainability functions. We compare the results of the model with real energy production obtained from data available in the Lastem station (Italy) and sampled every 10 minutes.

  18. Quality of Supply in Energy Regulation Measurement,Assessment and Experience from Norway

    E-Print Network [OSTI]

    Growitsch, Christian; Jamasb, Tooraj; Mueller, C; Wissner, M

      added,  i.e.  a  linear  correlation  is  seen  between  the  electricity  consumption of these sectors and economic output. This ratio therefore forms an  upper bound for the energy not supplied.    A  similar approach  for  the calculation of  the... in the perforrnace of the Norwegian electricity distribution utilities. Contact c.growitsch@wik.org Publication July 2009 Financial Support www.eprg.group.cam.ac.uk Quality of Supply in Energy Regulation Measurement, Assessment...

  19. Water-saving Measures: Energy and Cost Savings Calculator | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmweltVillageGraph HomeWaranaWater Power Forum - Q

  20. Invariant Gibbs measures of the energy for shell models of turbulence; the inviscid and viscous cases

    E-Print Network [OSTI]

    Hakima Bessaih; Benedetta Ferrario

    2011-03-10T23:59:59.000Z

    Gaussian measures of Gibbsian type are associated with some shell models of 3D turbulence; they are constructed by means of the energy, a conserved quantity for the 3D inviscid and unforced shell model. We prove the existence of a unique global flow for a stochastic viscous shell model and a global flow for the deterministic inviscid shell model, with the property that these Gibbs measures are invariant for these flows.

  1. Marine and Hydrokinetic Renewable Energy Devices, Potential Navigational Hazards and Mitigation Measures

    SciTech Connect (OSTI)

    Cool, Richard, M.; Hudon, Thomas, J.; Basco, David, R.; Rondorf, Neil, E.

    2009-12-01T23:59:59.000Z

    On April 15, 2008, the Department of Energy (DOE) issued a Funding Opportunity Announcement for Advanced Water Power Projects which included a Topic Area for Marine and Hydrokinetic Renewable Energy Market Acceleration Projects. Within this Topic Area, DOE identified potential navigational impacts of marine and hydrokinetic renewable energy technologies and measures to prevent adverse impacts on navigation as a sub-topic area. DOE defines marine and hydrokinetic technologies as those capable of utilizing one or more of the following resource categories for energy generation: ocean waves; tides or ocean currents; free flowing water in rivers or streams; and energy generation from the differentials in ocean temperature. PCCI was awarded Cooperative Agreement DE-FC36-08GO18177 from the DOE to identify the potential navigational impacts and mitigation measures for marine hydrokinetic technologies. A technical report addressing our findings is available on this Science and Technology Information site under the Product Title, "Marine and Hydrokinetic Renewable Energy Technologies: Potential Navigational Impacts and Mitigation Measures". This product is a brochure, primarily for project developers, that summarizes important issues in that more comprehensive report, identifies locations where that report can be downloaded, and identifies points of contact for more information.

  2. Dual-energy synchrotron X ray measurements of rapid soil density and water content changes in swelling soils

    E-Print Network [OSTI]

    Walter, M.Todd

    content and bulk density. A number of studies have used dual-energy gamma rays to investigate soilDual-energy synchrotron X ray measurements of rapid soil density and water content changes-energy synchrotron X ray to measure, for the first time, the water content and bulk density changes during the fast

  3. Measurement of electron temperatures and electron energy distribution functions in dual frequency capacitively coupled CF4/O2 plasmas using

    E-Print Network [OSTI]

    Economou, Demetre J.

    Measurement of electron temperatures and electron energy distribution functions in dual frequency and sheath was an efficient electron heating mechanism. Wu et al.12 computed ion energy distri- butions; published 31 July 2009 Measurements of electron temperatures Te and electron energy distribution functions

  4. Free energy inference from partial work measurements Fluctuation Relations (FRs) are among the few general exact results

    E-Print Network [OSTI]

    Potsdam, Universität

    Free energy inference from partial work measurements Fluctuation Relations (FRs) are among the few application is free energy recovery from non-equilibrium pulling experiments in the single molecule field. We is a "partial" work measurement): it leads to a violation of FRs and to wrong free energy estimates

  5. The Cosmic Ray Energy Spectrum and Related Measurements with the Pierre Auger Observatory

    SciTech Connect (OSTI)

    Abraham, : J.; Abreu, P.; Aglietta, M.; Aguirre, C.; Ahn, E.J.; Allard, D.; Allekotte, I.; Allen, J.; Alvarez-Muniz, J.; Ambrosio, M.; Anchordoqui, L.

    2009-06-01T23:59:59.000Z

    These are presentations to be presented at the 31st International Cosmic Ray Conference, in Lodz, Poland during July 2009. It consists of the following presentations: (1) Measurement of the cosmic ray energy spectrum above 10{sup 18} eV with the Pierre Auger Observatory; (2) The cosmic ray flux observed at zenith angles larger than 60 degrees with the Pierre Auger Observatory; (3) Energy calibration of data recorded with the surface detectors of the Pierre Auger Observatory; (4) Exposure of the Hybrid Detector of The Pierre Auger Observatory; and (5) Energy scale derived from Fluorescence Telescopes using Cherenkov Light and Shower Universality.

  6. Recommendations for 15% Above-Code Energy-Efficiency Measures for Commercial Office Buildings

    E-Print Network [OSTI]

    Mukhopadhyay, J.; Haberl, J. S.; Yazdani, B.; Culp, C.; Cho, S.

    Introduction Base-Case Building Energy Efficiency Measures Results Conclusion OUTLINE INTRODUCTION BA SECA S E EEM’S RESULTS CONC L U S I O N 3 Energy Systems Laboratory © 2007 INTRODUCTION THE 79 TH LEGISLATURE TO ENHANCE EFFECTIVENESS OF SENATE BILL 5... INTRODUCTION BA SECA S E EEM’S RESULTS CONC L U S I O N 4 Energy Systems Laboratory © 2007 BASE-CASE As per ASHRAE 90.1-1999 Building Envelope #0;? 6-story office building (89,304 ft 2 ) in Houston, TX #0;? Roof R-value: R-15 #0;? Wall R-value: R-13...

  7. Recommendations for 15% Above-Code Energy Efficiency Measures for Single-Family Residences

    E-Print Network [OSTI]

    Culp, C.; Haberl, J. S.; Mukhopadhyay, J.; Liu, J. B.; Yazdani, B.; Malhotra, M.

    -Case Building Energy Efficiency Measures Results Conclusion OUTLINE INTRODUCTION BA SECA S E EEM’S RESULTS CONC L U S I O N Energy Systems Laboratory © 2007 INTRODUCTION BA SECA S E EEM’S RESULTS CONC L U S I O N INTRODUCTION THE 79 TH LEGISLATURE TO ENHANCE... heating (Electric / Gas) Electric cooling Electric heating (All - Electric) INTRODUCTION BA SECA S E EEM’S RESULTS CONC L U S I O N Air Infiltration #0;? Conditioned space 0.47 ACH #0;? Attic 15 ACH Energy Systems Laboratory © 2007 HVAC System...

  8. Measurement of the solar neutrino energy spectrum using neutrino-electron scattering

    E-Print Network [OSTI]

    The Super-Kamiokande collaboration

    1998-12-08T23:59:59.000Z

    A measurement of the energy spectrum of recoil electrons from solar neutrino scattering in the Super--Kamiokande detector is presented. The results shown here are obtained from 504 days of data taken between the 31st of May, 1996 and the 25th of March, 1998. The shape of the measured spectrum is compared with the expectation for solar B8 neutrinos. The comparison takes into account both kinematic and detector related effects in the measurement process. The spectral shape comparison between the observation and the expectation gives a chi-square of 25.3 with 15 degrees of freedom, corresponding to a 4.6% confidence level.

  9. Gibbs measures and free energies of the Ising-Vannimenus Model on the Cayley tree

    E-Print Network [OSTI]

    Farrukh Mukhamedov; Hasan Akin

    2015-04-03T23:59:59.000Z

    In this paper, we consider Ising-Vannimenus model on a Cayley tree for order two with competing nearest-neighbor, prolonged next-nearest neighbor interactions. We stress that the mentioned model was investigated only numerically, without rigorous (mathematical) proofs. One of the main point of this paper is to propose a measure-theoretical approach the considered model. We find certain conditions for the existence of Gibbs measures corresponding to the model. Then we establish the existence of the phase transition. Moreover, the free energies of the found Gibbs measures are calculated.

  10. 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...

  11. Measurements of high energy density electrons via observation of Cherenkov radiation

    SciTech Connect (OSTI)

    Habara, Hideaki; Ohta, Kazuhide; Tanaka, Kazuo A. [Graduate School of Engineering, Osaka University, 2-1, Yamada-oka, Suita, Osaka 565-0871, Japan and Laser Institute of Engineering, Osaka University, 2-6, Yamada-oka, Suita, Osaka 565-0871 (Japan); Kumar, G. Ravindra; Krishnamurthy, M.; Kahaly, Subhendu; Mondal, Sudipta; Bhuyan, Manoj Kumar; Rajeev, R. [Tata Institute of Fundamental Research, Homi Bhabha Road, Mumbai 400-005 (India); Zheng Jian [Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026 (China)

    2010-05-15T23:59:59.000Z

    Direct measurement of extremely high energy density electrons created in ultraintense laser-plasma interactions is crucial issue for fast ignition. Recently Cherenkov radiation has been studied to obtain the energy distribution of electrons because the emission angle depends on the electron energy. However in the previous studies [F. Brandl et al., Europhys. Lett. 61, 632 (2003); M. Manclossi et al., Phys. Rev. Lett. 96, 125002 (2006)], the experimental configurations using a planar target raised issues of spatial overlapping among the light from the different energy electrons as well as from the other emissions, such as transition radiation. A novel prism shaped target is developed in which Cherenkov lights emitted from different energy electrons are spatially separated, realizing an absolute measurement of the energy spectrum by counting the light intensities in each observed position. The observed image clearly shows the horseshoe pattern as expected in fully three-dimensional ray-trace calculations, and the image is successfully converted into the electron spectrum inside the target. In addition, it is found from the blur of the outer edge of the Cherenkov pattern that the electrons have a small beam divergence. The calibrated energy spectrum well agrees with particle simulations.

  12. Costs and benefits from utility-funded commissioning of energy- efficiency measures in 16 buildings

    SciTech Connect (OSTI)

    Piette, M.A.; Nordman, B.

    1995-10-01T23:59:59.000Z

    This paper describes the costs and savings of commissioning of energy- efficiency measures in 16 buildings. A total of 46 EEMs were commissioned for all 16 buildings and 73 deficiencies were corrected. On average, commissioning was marginally cost effective on energy savings alone, although the results were mixed among all 16 buildings. When considered as a stand-alone measure, the median simple payback time of 6.5 years under the low energy prices in the Pacific Northwest. Under national average prices the median payback time is about three years. In estimating the present value of the energy savings from commissioning we considered low and high lifetimes for the persistence of savings from deficiency corrections. Under the low- lifetime case the average present value of the energy savings ($0. 21/ft{sup 2}) were about equal to the average commissioning costs ($0. 23/ft{sup 2}). Under the high-lifetime case the savings ($0.51/ft{sup 2}) were about twice the costs. Again, the savings would be about twice as large under national average prices. The results are subject to significant uncertainty because of the small sample size and lack of metered data in the evaluation. However, the findings suggest that investments in commissioning pay off. Building owners want buildings that work as intended, and are comfortable, healthy, and efficient. It is likely that the non-energy benefits, which are difficult to quantify, are larger than the energy-savings benefits.

  13. Measuring energy-saving retrofits: Experiences from the Texas LoanSTAR program

    SciTech Connect (OSTI)

    Haberl, J.S.; Reddy, T.A.; Claridge, D.E.; Turner, W.D.; O`Neal, D.L.; Heffington, W.M. [Texas A and M Univ., College Station, TX (United States). Energy Systems Lab.] [Texas A and M Univ., College Station, TX (United States). Energy Systems Lab.

    1996-02-01T23:59:59.000Z

    In 1988 the Governor`s Energy Management Center of Texas received approval from the US Department of Energy to establish a $98.6 million state-wide retrofit demonstration revolving loan program to fund energy-conserving retrofits in state, public school, and local government buildings. As part of this program, a first-of-its-kind, statewide Monitoring and Analysis Program (MAP) was established to verify energy and dollar savings of the retrofits, reduce energy costs by identifying operational and maintenance improvements, improve retrofit selection in future rounds of the LoanSTAR program, and initiate a data base of energy use in institutional and commercial buildings located in Texas. This report discusses the LoanSTAR MAP with an emphasis on the process of acquiring and analyzing data to measure savings from energy conservation retrofits when budgets are a constraint. This report includes a discussion of the program structure, basic measurement techniques, data archiving and handling, data reporting and analysis, and includes selected examples from LoanSTAR agencies. A summary of the program results for the first two years of monitoring is also included.

  14. Techniques and tools for measuring energy efficiency of scientific software applications

    E-Print Network [OSTI]

    Abdurachmanov, David; Eulisse, Giulio; Knight, Robert; Niemi, Tapio; Nurminen, Jukka K; Nyback, Filip; Pestana, Goncalo; Ou, Zhonghong; Khan, Kashif

    2014-01-01T23:59:59.000Z

    The scale of scientific High Performance Computing (HPC) and High Throughput Computing (HTC) has increased significantly in recent years, and is becoming sensitive to total energy use and cost. Energy-efficiency has thus become an important concern in scientific fields such as High Energy Physics (HEP). There has been a growing interest in utilizing alternate architectures, such as low power ARM processors, to replace traditional Intel x86 architectures. Nevertheless, even though such solutions have been successfully used in mobile applications with low I/O and memory demands, it is unclear if they are suitable and more energy-efficient in the scientific computing environment. Furthermore, there is a lack of tools and experience to derive and compare power consumption between the architectures for various workloads, and eventually to support software optimizations for energy efficiency. To that end, we have performed several physical and software-based measurements of workloads from HEP applications running o...

  15. The Cross Section of 3He(3He,2p)4He measured at Solar Energies

    E-Print Network [OSTI]

    The LUNA Collaboration; M. Junker; A. D'Alessandro; S. Zavatarelli; C. Arpesella; E. Bellotti; C. Broggini; P. Corvisiero; G. Fiorentini; A. Fubini; G. Gervino; U. Greife; C. Gustavino; J. Lambert; P. Prati; W. S. Rodney; C. Rolfs; F. Strieder; H. P. Trautvetter; D. Zahnow

    1998-02-06T23:59:59.000Z

    We report on the results of the \\hethet\\ experiment at the underground accelerator facility LUNA (Gran Sasso). For the first time the lowest projectile energies utilized for the cross section measurement correspond to energies below the center of the solar Gamow peak ($E_{\\rm 0}$=22 keV). The data provide no evidence for the existence of a hypothetical resonance in the energy range investigated. Although no extrapolation is needed anymore (except for energies at the low-energy tail of the Gamow peak), the data must be corrected for the effects of electron screening, clearly observed the first time for the \\hethet\\ reaction. The effects are however larger than expected and not understood, leading presently to the largest uncertainty on the quoted $S_{\\rm b}(E_{\\rm 0})$ value for bare nuclides (=5.40 MeV b).

  16. High Energy Particle Measurement using Compact Neutral Particle Energy Analyzer in Large Helical Device

    SciTech Connect (OSTI)

    Ozaki, T.; Goncharov, P.; Tamura, N.; Sudo, S.; Matsubara, A.; Sato, K. [National Institute for Fusion Science, Oroshi-cho 322-6, Toki 509-5292 (Japan); Kalinina, D. [Graduate Univ. for Advanced Studies, Hayama, Kanagawa, 240-0193 (Japan)

    2006-01-15T23:59:59.000Z

    The pellet charge exchange technique, which can enhance the charge exchange reaction in plasma core, is utilized. Although there is no fusion reaction in the Large Helical Device (LHD), the simulation experiment can be expected by using the ion cyclotron resonance heated plasma. We newly install CNPA (0.8-168keV, 40 channels) to obtain the high-energy particle spectra in LHD. In pellet experiments, the time resolution of 0.1 ms is equal to 5 cm spatial resolution at the pellet speed of 500 m/s. Pellet penetration depth determines the possible observable area of the energy spectra. In our experiment, the penetration depth (up to {rho}=0.2) can be obtained at 1 mm diameter pellet. The spectra in three different plasmas can be compared.

  17. Observable measures of critical behavior in high-energy nuclear collisions

    E-Print Network [OSTI]

    Rudolph C. Hwa

    2000-07-19T23:59:59.000Z

    Critical behaviors of quark-hadron phase transition in high-energy heavy-ion collisions are investigated with the aim of identifying hadronic observables. The surface of the plasma cylinder is mapped onto a 2D lattice. The Ising model is used to simulate configurations corresponding to cross-over transitions in accordance to the findings of QCD lattice gauge theory. Hadrons are formed in clusters of all sizes. Various measures are examined to quantify the fluctuations of the cluster sizes and of the voids among the clusters. The canonical power-law behaviors near the critical temperature are found for appropriately chosen measures. Since the temperature is not directly observable, attention is given to the problem of finding observable measures. It is demonstrated that for the measures considered the dependence on the final-state randomization is weak. Thus the critical behavior of the measures proposed is likely to survive the scattering effect of the hadron gas in the final state.

  18. Measuring proton energies and fluxes using EIT (SOHO) CCD areas outside the solar disk images

    E-Print Network [OSTI]

    L. V. Didkovsky; D. L. Judge; A. R. Jones; E. J. Rhodes, Jr.; J. B. Gurman

    2006-04-20T23:59:59.000Z

    An indirect proton flux measuring tool based on discrimination of the energy deposited by protons in 128 x 128 pixel EIT CCD areas outside the solar disk images is presented. Single pixel intensity events are converted into proton incident energy flux using modeled energy deposition curves for angles of incidence 60 deg in four EIT spatial areas with different proton stopping power. The extracted proton flux is corrected for both the loss of one-pixel events in the range of angles of incidence as well as for the contribution to the single pixel events resulting from scattered middle-energy protons (low-energy or high-energy particles are stopped by the EIT components or pass through them, accordingly). A simple geometrical approach was found and applied to correct for a non-unique relation between the proton-associated CCD output signal and the incident proton energy. With this geometrical approximation four unique proton incident energy ranges were determined as 45--49, 145--154, 297--335, and 390--440 MeV. The indirect proton flux measuring tool has been tested by comparing Solar Energetic Particles (SEP) flux temporal profiles extracted from the EIT CCD frames and downloaded from the GOES database for the Bastille Day (BD) of 2000 July 14 and the more recent 2005 January 20 events. The SEP flux temporal profiles and proton spectra extracted from the EIT in the relatively narrow energy ranges between 45 and 440 MeV reported here are consistent with the related GOES profiles. The four additional EIT extracted ranges provide higher energy resolution of the SEP data.

  19. Importance of Measurement: The Impact of Power Quality in Energy Efficiency 

    E-Print Network [OSTI]

    Qazi, T.; Roy, S.

    2010-01-01T23:59:59.000Z

    To implement sustainable and green initiatives in a building it is vital to have a means of measuring and verifying its performance. This is done by the introduction of intelligent utility and energy metering to the facility that would become its...

  20. European Wind Energy Conference 2007 Milan Measurement based analysis of active and reactive power

    E-Print Network [OSTI]

    European Wind Energy Conference 2007 ­ Milan 1 Measurement based analysis of active and reactive of the electricity is produced by wind turbines and combined heat and power plants (CHPs). Most of them are connected of reactive power between the 60 kV and the 150 kV networks. Further, the TSO is obligated to compensate

  1. Review of Methods for Measuring and Verifying Savings from Energy Conservation Retrofits to Existing Buildings

    E-Print Network [OSTI]

    Haberl, J. S.; Culp, C.

    2003-01-01T23:59:59.000Z

    The Measurement & Verification (M&V) process has evolved in the last 15 years to provide a high confidence approach for determining the resulting savings from a variety of retrofits and energy efficiency enhancements. M&V has a dual role. First...

  2. Energy Provisions of the California Green Building Standards Code Page 2 CHAPTER 4, RESIDENTIAL MANDATORY MEASURES

    E-Print Network [OSTI]

    Energy Provisions of the California Green Building Standards Code Page 2 CHAPTER 4, RESIDENTIAL of the California Green Building Standards Code Page 3 APPENDIX A4, RESIDENTIAL VOLUNTARY MEASURES APPENDIX A4 of the California Green Building Standards Code Page 4 1. Night lights which comply with Title 24, Part 6 Section

  3. Using Measurement and Verification to Manage Risk in Federal Energy- and Water-Saving Projects

    Broader source: Energy.gov [DOE]

    "Risk," in the context of measurement and verification (M&V), refers to the uncertainty that expected savings will be realized. Assumption of risk implies acceptance of the potential monetary consequences. Energy service companies (ESCOs) and agencies are each reluctant to assume responsibility for factors they cannot control, and holding certain parameters fixed in the M&V plan can match up responsibilities.

  4. Revised: March 6, 2013 2013 Residential Building Energy Efficiency Standards Measures Summary

    E-Print Network [OSTI]

    1 Revised: March 6, 2013 2013 Residential Building Energy Efficiency Standards Measures; allows Smart Vents and Night Breeze as alternatives in CZs 814. (Section 150.1(c)12) 4. Adding for all residential buildings including kitchens, bathrooms, dining rooms, utility rooms, garages, hall

  5. Models and measurements of energy-dependent quenching Julia Zaks Kapil Amarnath

    E-Print Network [OSTI]

    Fleming, Graham R.

    REVIEW Models and measurements of energy-dependent quenching Julia Zaks · Kapil Amarnath · Emily J of electron transport reactions that ultimately lead to the reduction of Julia Zaks, Kapil Amarnath, Emily J. Sylak-Glassman have contributed equally. J. Zaks Á K. Amarnath Á E. J. Sylak-Glassman Á G. R. Fleming

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

    SciTech Connect (OSTI)

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

    1986-01-01T23:59:59.000Z

    X-ray energy spectra of the Maxwell Laboratories MBS and Physics International Pulserad 737 were measured using an eight-channel filter-fluorescer array. The PHOSCAT computer code was used to calculate channel response functions, and the UFO code to unfold spectrum.

  7. Improve Industrial Temperature Measurement Precision for Cost-Effective Energy Usage

    E-Print Network [OSTI]

    Lewis, C. W.

    setting, errors between any two measurement instruments of 0.1 OF can result in an error of 4 Megawatts of energy! You do not want to have too many Megawatts disappearing from a nuclear power station before you start to do something about it. FIGURE...

  8. DEMAND SIDE ENERGY MANAGEMENT AND CONSERVATION PROGRAM Measurement and Verification Program

    E-Print Network [OSTI]

    Hofmann, Hans A.

    DEMAND SIDE ENERGY MANAGEMENT AND CONSERVATION PROGRAM Measurement and Verification Program 4 operating hours for the lights in each room a. Assign a usage category to each room in all buildings (e electrical usage and savings in room by room spreadsheet d. Subtotal savings by building

  9. DEMAND SIDE ENERGY MANAGEMENT AND CONSERVATION PROGRAM Measurement and Verification Program

    E-Print Network [OSTI]

    Hofmann, Hans A.

    DEMAND SIDE ENERGY MANAGEMENT AND CONSERVATION PROGRAM Measurement and Verification Program 4 Works Association Research Foundation (AwwaRF) and building demographics for savings calculations 4-retrofit; calculate savings in room by room spreadsheet 5. Pre-retrofit (Process water audit) ­ Walk buildings

  10. S. KHANNA, S. SARKAR, I. SHIN 1 An Energy Measurement Based Collision

    E-Print Network [OSTI]

    Sarkar, Saswati

    S. KHANNA, S. SARKAR, I. SHIN 1 An Energy Measurement Based Collision Resolution Protocol Sanjeev Khanna, Saswati Sarkar, Insik Shin Abstract--- A central problem in wireless packet networks is the ef@cis.upenn.edu . S. Sarkar, Dept. of Electrical Engineering, University of Pennsylva­ nia, PA, USA. E­mail: swati

  11. Techniques and tools for measuring energy efficiency of scientific software applications

    E-Print Network [OSTI]

    David Abdurachmanov; Peter Elmer; Giulio Eulisse; Robert Knight; Tapio Niemi; Jukka K. Nurminen; Filip Nyback; Goncalo Pestana; Zhonghong Ou; Kashif Khan

    2014-10-10T23:59:59.000Z

    The scale of scientific High Performance Computing (HPC) and High Throughput Computing (HTC) has increased significantly in recent years, and is becoming sensitive to total energy use and cost. Energy-efficiency has thus become an important concern in scientific fields such as High Energy Physics (HEP). There has been a growing interest in utilizing alternate architectures, such as low power ARM processors, to replace traditional Intel x86 architectures. Nevertheless, even though such solutions have been successfully used in mobile applications with low I/O and memory demands, it is unclear if they are suitable and more energy-efficient in the scientific computing environment. Furthermore, there is a lack of tools and experience to derive and compare power consumption between the architectures for various workloads, and eventually to support software optimizations for energy efficiency. To that end, we have performed several physical and software-based measurements of workloads from HEP applications running on ARM and Intel architectures, and compare their power consumption and performance. We leverage several profiling tools (both in hardware and software) to extract different characteristics of the power use. We report the results of these measurements and the experience gained in developing a set of measurement techniques and profiling tools to accurately assess the power consumption for scientific workloads.

  12. Manufacturing Innovation Topics Workshop | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment3311, 3312), October 2012 (MECS 2006) |Footprints Scopeto

  13. Optical and Electrical Measurement of Energy Transfer between Nanocrystalline Quantum Dots and Photosystem I

    SciTech Connect (OSTI)

    Jung, H.; Gulis, G.; Gupta, S.; Redding, K.; Gosztola, D. J.; Wiederrecht, Gary P; Stroscio, M. A.; Dutta, M.

    2010-01-01T23:59:59.000Z

    In the natural photosynthesis process, light harvesting complexes (LHCs) absorb light and pass excitation energy to photosystem I (PSI) and photosystem II (PSII). In this study, we have used nanocrystalline quantum dots (NQDs) as an artificial LHC by integrating them with PSI to extend their spectral range. We have performed photoluminescence (PL) and ultrafast time-resolved absorption measurements to investigate this process. Our PL experiments showed that emission from the NQDs is quenched, and the fluorescence from PSI is enhanced. Transient absorption and bleaching results can be explained by fluorescence resonance energy transfer (FRET) from the NQDs to the PSI. This nonradiative energy transfer occurs in ?6 ps. Current?voltage (I?V) measurements on the composite NQD-PSI samples demonstrate a clear photoresponse.

  14. Protocol for Uniformly Measuring and Expressing the Performance of Energy Storage Systems

    SciTech Connect (OSTI)

    Conover, David R.; Crawford, Aladsair J.; Viswanathan, Vilayanur V.; Ferreira, Summer; Schoenwald, David

    2014-06-01T23:59:59.000Z

    The Protocol for Uniformly Measuring and Expressing the Performance of Energy Storage Systems (PNNL-22010) was first issued in November 2012 as a first step toward providing a foundational basis for developing an initial standard for the uniform measurement and expression of energy storage system (ESS) performance. Its subsequent use in the field and review by the protocol working group and most importantly the users’ subgroup and the thermal subgroup has led to the fundamental modifications reflected in this update of the 2012 Protocol. As an update of the 2012 Protocol, this document (the June 2014 Protocol) is intended to supersede its predecessor and be used as the basis for measuring and expressing ESS performance. The foreword provides general and specific details about what additions, revisions, and enhancements have been made to the 2012 Protocol and the rationale for them in arriving at the June 2014 Protocol.

  15. A Simple Method to Continuous Measurement of Energy Consumption of Tank Less Gas Water Heaters for Commercial Buildings

    E-Print Network [OSTI]

    Yamaha, M.; Fujita, M.; Miyoshi, T.

    2006-01-01T23:59:59.000Z

    energy consumptions of hot water supply in restaurants or residential houses are large amount, guidelines for optimal design are not presented. measurements of energy consumption of tank less gas water heaters very difficult unless gas flow meters...

  16. Evaluation of Model Results and Measured Performance of Net-Zero Energy Homes in Hawaii: Preprint

    SciTech Connect (OSTI)

    Norton, P.; Kiatreungwattana, K.; Kelly, K. J.

    2013-03-01T23:59:59.000Z

    The Kaupuni community consists of 19 affordable net-zero energy homes that were built within the Waianae Valley of Oahu, Hawaii in 2011. The project was developed for the native Hawaiian community led by the Department of Hawaiian Homelands. This paper presents a comparison of the modeled and measured energy performance of the homes. Over the first year of occupancy, the community as a whole performed within 1% of the net-zero energy goals. The data show a range of performance from house to house with the majority of the homes consistently near or exceeding net-zero, while a few fall short of the predicted net-zero energy performance. The impact of building floor plan, weather, and cooling set point on this comparison is discussed. The project demonstrates the value of using building energy simulations as a tool to assist the project to achieve energy performance goals. Lessons learned from the energy performance monitoring has had immediate benefits in providing feedback to the homeowners, and will be used to influence future energy efficient designs in Hawaii and other tropical climates.

  17. Measuring the Social Rate of Return to R&D in the Energy Industry: A Study of the OECD Countries

    E-Print Network [OSTI]

    Lin, C.-Y. Cynthia

    for biomass energy R&D, with clearly demarcated support for both pre-commercial research devoted to innovation for renewable energy and energy efficiency, and has declined for fossil fuel and nuclear technology. The 20051 Measuring the Social Rate of Return to R&D in the Energy Industry: A Study of the OECD Countries

  18. Improvements and Applications of the Methodology for Potential Energy Savings Estimation from Retro-commissioning/Retrofit Measures 

    E-Print Network [OSTI]

    Liu, Jingjing

    2010-03-24T23:59:59.000Z

    This thesis has improved Baltazar's methodology for potential energy savings estimation from retro-commissioning/retrofits measures. Important improvements and discussions are made on optimization parameters, limits on ...

  19. National Energy Efficiency Evaluation, Measurement and Verification (EM&V) Standard: Scoping Study of Issues and Implementation Requirements

    E-Print Network [OSTI]

    Schiller, Steven R.

    2011-01-01T23:59:59.000Z

    rebatesincentives/ief/ PJM Forward Market Operations 2010. "PJM Manual 18B: Energy Efficiency Measurement &Independent System Operator 13 and PJM Regional Transmission

  20. A monetary comparison of energy recovered from microbial fuel cells and microbial electrolysis cells fed winery or

    E-Print Network [OSTI]

    as electricity or hydrogen from organic matter. Organic removal efficiencies and values of the different energy the predominance of Geobacter species in anodic microbial communities in MECs for both wastewaters, suggesting low. An AS process typically uses 1 kWh of electricity and produces w0.4 kg of sludge per kg of oxidized COD [2

  1. Evaluation of Modeled and Measured Energy Savings in Existing All Electric Public Housing in the Pacific Northwest

    SciTech Connect (OSTI)

    Gordon, A.; Lubliner, M.; Howard, L.; Kunkle, R.; Salzberg, E.

    2014-04-01T23:59:59.000Z

    This project analyzes the cost effectiveness of energy savings measures installed by a large public housing authority in Salishan, a community in Tacoma Washington. Research focuses on the modeled and measured energy usage of the first six phases of construction, and compares the energy usage of those phases to phase 7. Market-ready energy solutions were also evaluated to improve the efficiency of affordable housing for new and existing (built since 2001) affordable housing in the marine climate of Washington State.

  2. Protocol for Uniformly Measuring and Expressing the Performance of Energy Storage Systems

    SciTech Connect (OSTI)

    Bray, Kathryn L.; Conover, David R.; Kintner-Meyer, Michael CW; Viswanathan, Vijayganesh; Ferreira, Summer; Rose, David; Schoenwald, David

    2012-10-01T23:59:59.000Z

    The U.S. Department of Energy’s Energy Storage Systems (ESS) Program, through the support of Pacific Northwest National Laboratory (PNNL) and Sandia National Laboratories (SNL), facilitated the development of the protocol provided in this report. The focus of the protocol is to provide a uniform way of measuring, quantifying, and reporting the performance of EESs in various applications; something that does not exist today and, as such, is hampering the consideration and use of this technology in the market. The availability of an application-specific protocol for use in measuring and expressing performance-related metrics of ESSs will allow technology developers, power-grid operators and other end-users to evaluate the performance of energy storage technologies on a uniform and comparable basis. This will help differentiate technologies and products for specific application(s) and provide transparency in how performance is measured. It also will assist utilities and other consumers of ESSs make more informed decisions as they consider the potential application and use of ESSs, as well as form the basis for documentation that might be required to justify utility investment in such technologies.

  3. Transverse energy measurement in sqrt{s_{NN}} = 62.4 GeV Au+Au collisions at RHIC

    E-Print Network [OSTI]

    Raghunath Sahoo; Subhasis Chattopadhaya; Alexandre A. P. Suaide; Marcia Maria de Moura; D. P. Mahapatra

    2005-10-20T23:59:59.000Z

    The transverse energy distributions ($E_{T}$) have been measured for Au + Au collisions at $\\sqrt{s_{NN}} = 62.4$ GeV by the STAR experiment at RHIC. They have been obtained from two measurements, the hadronic transverse energy ($E_{T}^{had}$) and the electromagnetic transverse energy($E_{T}^{em}$). $E_{T}^{had}$ has been measured from the tracks obtained by Time Projection Chamber (TPC) excluding the electrons and positrons. $E_{T}^{em}$ has been obtained by the STAR Barrel Electromagetic Calorimeter (BEMC) which measures the energy of electrons, positrons and photons. The measure of transverse energy gives an estimate of the energy density of the fireball produced in heavy ion collisions. $E_{T}$ per participant pair gives information about the production mechanism of particles.

  4. Measurement of the Cosmic Ray Energy Spectrum with ARGO-YBJ

    E-Print Network [OSTI]

    G. Di Sciascio; for the ARGO-YBJ Collaboration

    2014-08-28T23:59:59.000Z

    The ARGO-YBJ detector, located at high altitude in the Cosmic Ray Observatory of Yangbajing in Tibet (4300 m asl, about 600 g/cm2 of atmospheric depth) provides the opportunity to study, with unprecedented resolution, the cosmic ray physics in the primary energy region between 10^{12} and 10^{16} eV. The preliminary results of the measurement of all-particle and light-component (i.e. protons and helium) energy spectra between approximately 5 TeV and 5 PeV are reported and discussed. The study of such energy region is particularly interesting because not only it allows a better understanding of the so called 'knee' of the energy spectrum and of its origin, but also provides a powerful cross-check among very different experimental techniques. The comparison between direct measurements by balloons/satellites and the results by surface detectors, implying the knowledge of shower development in the atmosphere, also allows to test the hadronic interaction models currently used for understanding particle and cosmic ray physics up the highest energies.

  5. 15% Above-Code Energy Efficiency Measures for Residential Buildings in Texas

    E-Print Network [OSTI]

    Haberl, J. S.; Culp, C.; Yazdani, B.

    Emissions Savings (lbs/year) Combined Estimated Cost ($) Simple Estimated Payback (yrs) 0.025 11.1 30.1- Combined Ozone Season Period NOx Emissions Savings (lbs/day) 28.5-16.3 6.7 - 34.9 ESL-TR-07-08-02 Energy Systems Laboratory - August 2007 7... individual measures above for specific savings * Energy Cost: Electricity cost = $0.15/kWh Natural gas cost = $1.00/therm 4. Savings depend on fuel mix used. See detailed writeup (Building Description) * Building type: Residential * Gross area: 2...

  6. Recommendations for 15% Above-Code Energy Efficiency Measures for Commercial Office Building

    E-Print Network [OSTI]

    Cho, S.; Mukhopadhyay, J.; Culp, C.; Haberl, J.; Yazdani, B.

    1 RECOMMENDATIONS FOR 15% ABOVE-CODE ENERGY EFFICIENCY MEASURES FOR COMMERCIAL OFFICE BUILDINGS Soolyeon Cho Graduate Research Assistant Jaya Mukhopadhyay Research Associate Charles Culp, Ph.D., P.E. Associate Director Jeff Haberl, Ph... CL US IO N Energy Systems Laboratory @2007 BASE-CASE As per ASHRAE 90.1-1999 Building Envelope square4 6-story office building (89,304 ft2) in Houston, TX square4 Roof R-value: R-15 square4 Wall R-value: R-13 Fenestration square4 50...

  7. Noninvasive measurement of micron electron beam size of high energy using diffraction radiation

    E-Print Network [OSTI]

    G. Naumenko

    2004-05-31T23:59:59.000Z

    Treatments of the usage of optical diffraction radiation from the relativistic electrons moving though a conductive slit for the noninvasive transverse beam size measurement encounter hard limitation of the method sensitivity for the electron energy larger than 1 GeV. We consider in this article a possibility of application in a diffraction radiation technique the artificial phase shift, which can take place when transverse electron position varies. This allows us to realize the nonivasive measurements of transverse size of supper-relativistic electron beams with the small emittance.

  8. Measurements of continuous mix evolution in a high energy density shear flow

    SciTech Connect (OSTI)

    Loomis, E., E-mail: loomis@lanl.gov; Doss, F.; Flippo, K.; Fincke, J. [Los Alamos National Laboratory, Los Alamos, New Mexico 87545 (United States)] [Los Alamos National Laboratory, Los Alamos, New Mexico 87545 (United States)

    2014-04-15T23:59:59.000Z

    We report on the novel integration of streaked radiography into a counter-flowing High Energy Density (HED) shear environment that continually measures a growing mix layer of Al separating two low-density CH foams. Measurements of the mix width allow us to validate compressible turbulence models and with streaked imaging, make this possible with a minimal number of experiments on large laser facilities. In this paper, we describe how the HED counter-flowing shear layer is created and diagnosed with streaked radiography. We then compare the streaked data to previous two-dimensional, single frame radiography and radiation hydrodynamic simulations of the experiment with inline compressible turbulent mix models.

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

    E-Print Network [OSTI]

    Yuehong Xie

    2009-04-29T23:59:59.000Z

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

  10. Analysis of the Thermal Performance of Tierra I--A Low-Energy High-Mass Residence

    SciTech Connect (OSTI)

    Smith, M. W.

    2001-05-31T23:59:59.000Z

    A low-energy concrete house was designed using passive solar strategies to consume 70% less heating and cooling energy than a base case that conformed to the 1996 Home Energy Rating System (HERS) and the 1995 Model Energy Code (MEC). The performance of this house was then evaluated using computer simulations and measured data. The house, Tierra I, was monitored from July 22, 1996, through October 14, 1997. A Short Term Energy Monitoring (STEM) test was done November 19 to December 10, 1996. Computer simulations of the house were done using SUNREL, an updated version of the hourly data simulation package SERI-RES. The SUNREL model of the house was calibrated using both short- and long-term data. The house achieved energy savings of 56%, below the goal of 70%. The lower than expected savings resulted from problems with the window modeling. As a result, during the design phase the solar gains were overestimated causing an underestimate in the level of insulation necessary to achieve the savings goal. For very low-energy passive solar buildings, it is apparent that very accurate window modeling is required. It also became apparent that accurate ground models are required as well because ground-heat loss accounts for a significant portion of the total heat loss in low-energy buildings.

  11. Marine and Hydrokinetic Renewable Energy Technologies: Potential Navigational Impacts and Mitigation Measures

    SciTech Connect (OSTI)

    Cool, Richard, M.; Hudon, Thomas, J.; Basco, David, R.; Rondorf, Neil, E.

    2009-12-10T23:59:59.000Z

    On April 15, 2008, the Department of Energy (DOE) issued a Funding Opportunity Announcement for Advanced Water Power Projects which included a Topic Area for Marine and Hydrokinetic Renewable Energy Market Acceleration Projects. Within this Topic Area, DOE identified potential navigational impacts of marine and hydrokinetic renewable energy technologies and measures to prevent adverse impacts on navigation as a sub-topic area. DOE defines marine and hydrokinetic technologies as those capable of utilizing one or more of the following resource categories for energy generation: ocean waves; tides or ocean currents; free flowing water in rivers or streams; and energy generation from the differentials in ocean temperature. PCCI was awarded Cooperative Agreement DE-FC36-08GO18177 from the DOE to identify the potential navigational impacts and mitigation measures for marine hydrokinetic technologies, as summarized herein. The contract also required cooperation with the U.S. Coast Guard (USCG) and two recipients of awards (Pacific Energy Ventures and reVision) in a sub-topic area to develop a protocol to identify streamlined, best-siting practices. Over the period of this contract, PCCI and our sub-consultants, David Basco, Ph.D., and Neil Rondorf of Science Applications International Corporation, met with USCG headquarters personnel, with U.S. Army Corps of Engineers headquarters and regional personnel, with U.S. Navy regional personnel and other ocean users in order to develop an understanding of existing practices for the identification of navigational impacts that might occur during construction, operation, maintenance, and decommissioning. At these same meetings, “standard” and potential mitigation measures were discussed so that guidance could be prepared for project developers. Concurrently, PCCI reviewed navigation guidance published by the USCG and international community. This report summarizes the results of this effort, provides guidance in the form of a checklist for assessing the navigational impacts of potential marine and hydrokinetic projects, and provides guidance for improving the existing navigational guidance promulgated by the USCG in Navigation Vessel Inspection Circular 02 07. At the request of the USCG, our checklist and mitigation guidance was written in a generic nature so that it could be equally applied to offshore wind projects. PCCI teleconferenced on a monthly basis with DOE, Pacific Energy Ventures and reVision in order to share information and review work products. Although the focus of our effort was on marine and hydrokinetic technologies, as defined above, this effort drew upon earlier work by the USCG on offshore wind renewable energy installations. The guidance provided herein can be applied equally to marine and hydrokinetic technologies and to offshore wind, which are collectively referred to by the USCG as Renewable Energy Installations.

  12. Measuring and tuning energy efficiency on large scale high performance computing platforms.

    SciTech Connect (OSTI)

    Laros, James H., III

    2011-08-01T23:59:59.000Z

    Recognition of the importance of power in the field of High Performance Computing, whether it be as an obstacle, expense or design consideration, has never been greater and more pervasive. While research has been conducted on many related aspects, there is a stark absence of work focused on large scale High Performance Computing. Part of the reason is the lack of measurement capability currently available on small or large platforms. Typically, research is conducted using coarse methods of measurement such as inserting a power meter between the power source and the platform, or fine grained measurements using custom instrumented boards (with obvious limitations in scale). To collect the measurements necessary to analyze real scientific computing applications at large scale, an in-situ measurement capability must exist on a large scale capability class platform. In response to this challenge, we exploit the unique power measurement capabilities of the Cray XT architecture to gain an understanding of power use and the effects of tuning. We apply these capabilities at the operating system level by deterministically halting cores when idle. At the application level, we gain an understanding of the power requirements of a range of important DOE/NNSA production scientific computing applications running at large scale (thousands of nodes), while simultaneously collecting current and voltage measurements on the hosting nodes. We examine the effects of both CPU and network bandwidth tuning and demonstrate energy savings opportunities of up to 39% with little or no impact on run-time performance. Capturing scale effects in our experimental results was key. Our results provide strong evidence that next generation large-scale platforms should not only approach CPU frequency scaling differently, but could also benefit from the capability to tune other platform components, such as the network, to achieve energy efficient performance.

  13. Exclusive Measurements of b -> s gamma Transition Rate and Photon Energy Spectrum

    E-Print Network [OSTI]

    The BABAR Collaboration

    2012-08-30T23:59:59.000Z

    We use 429 fb$^{-1}$ of $e^+e^-$ collision data collected at the $\\Upsilon(4S)$ resonance with the BABAR detector to measure the radiative transition rate of $b\\rightarrow s\\gamma$ with a sum of 38 exclusive final states. The inclusive branching fraction with a minimum photon energy of 1.9 GeV is found to be $\\mathcal{B}(\\bar B \\rightarrow X_{s}\\gamma)=(3.29\\pm 0.19\\pm 0.48)\\times 10^{-4}$ where the first uncertainty is statistical and the second is systematic. We also measure the first and second moments of the photon energy spectrum and extract the best fit values for the heavy-quark parameters, $m_{b}$ and $\\mu_{\\pi}^{2}$, in the kinetic and shape function models.

  14. Measurement of the direct energy gap of coherently strained SnxGe1x Ge,,001... heterostructures

    E-Print Network [OSTI]

    Atwater, Harry

    Measurement of the direct energy gap of coherently strained SnxGe1Àx ÕGe,,001... heterostructures The direct energy gap has been measured for coherently strained SnxGe1 x alloys on Ge 001 substrates with 0 for coherently strained SnxGe1 x alloys indicates a large alloy contribution and a small strain contribution

  15. Ion distribution dynamics near the Earth's bow shock: rst measurements with the 2D ion energy spectrometer CORALL on

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    of supra- thermal ion populations upstream and downstream from the bow shock do not depend on the solarIon distribution dynamics near the Earth's bow shock: ®rst measurements with the 2D ion energy the Earth's bow shock is studied on the basis of quasi-3D measurements of ion energy spectra in the range

  16. Society of Automotive Engineers World Congress and Exposition, Detroit, MI, April, 2006 (draft) 1 MEASURING INDUSTRIAL ENERGY SAVINGS

    E-Print Network [OSTI]

    Kissock, Kelly

    Society of Automotive Engineers World Congress and Exposition, Detroit, MI, April, 2006 (draft) 1 MEASURING INDUSTRIAL ENERGY SAVINGS Kelly Kissock and Carl Eger Department of Mechanical and Aerospace a general method for measuring industrial energy savings and demonstrates the method using a case study from

  17. A multi-site analysis of random error in tower-based measurements of carbon and energy fluxes

    E-Print Network [OSTI]

    A multi-site analysis of random error in tower-based measurements of carbon and energy fluxes 2006 Abstract Measured surface-atmosphere fluxes of energy (sensible heat, H, and latent heat, LE of which include ``tall tower'' instrumentation), one grassland site, and one agricultural site, to conduct

  18. Protocol for uniformly measuring and expressing the performance of energy storage systems.

    SciTech Connect (OSTI)

    Ferreira, Summer Rhodes; Rose, David Martin; Schoenwald, David Alan; Bray, Kathy [Pacific Northwest National Laboratory, Richland, WA; Conover, David [Pacific Northwest National Laboratory, Richland, WA; Kintner-Meyer, Michael [Pacific Northwest National Laboratory, Richland, WA; Viswanathan, Vilayanur [Pacific Northwest National Laboratory, Richland, WA

    2013-08-01T23:59:59.000Z

    The U.S. Department of Energy's Energy Storage Systems (ESS) Program, through the support of Pacific Northwest National Laboratory (PNNL) and Sandia National Laboratories (SNL), facilitated the development of the protocol provided in this report. The focus of the protocol is to provide a uniform way of measuring, quantifying, and reporting the performance of ESSs in various applications; something that does not exist today and, as such, is hampering the consideration and use of this technology in the market. The availability of an application-specific protocol for use in measuring and expressing performance-related metrics of ESSs will allow technology developers, power-grid operators and other end-users to evaluate the performance of energy storage technologies on a uniform and comparable basis. This will help differentiate technologies and products for specific application(s) and provide transparency in how performance is measured. It also will assist utilities and other consumers of ESSs to make more informed decisions as they consider the potential application and use of ESSs, as well as form the basis for documentation that might be required to justify utility investment in such technologies.

  19. Cost effectiveness of the 1993 model energy code in New Jersey

    SciTech Connect (OSTI)

    Lucas, R.G.

    1995-09-01T23:59:59.000Z

    This is an analysis of cost effectiveness the Council of American Building Officials` 1993 Model Energy Code (MEC) building thermal-envelope requirements for single-family houses and multifamily housing units in New Jersey. Goal was to compare the cost effectiveness of the 1993 MEC to the alternate allowed in the 1993 Building Officials & Code Administrators (BOCA) National Energy Conservation Code -- American Society of Heating, Refrigerating, and Air-Conditioning Engineers (ASHRAE) Standard 90A-1980 -- based on a comparison of the costs and benefits associated with complying with each. This comparison was performed for Camden, New Brunswick; Somerville, and Sparta. The analysis was done for two different scenarios: a ``move-up`` home buyer purchasing a single-family house and a ``first-time`` financially limited home buyer purchasing a multifamily unit. For the single-family home buyer, compliance with the 1993 MEC was estimated to increase first costs by $1028 to $1564, resulting in an incremental down payment increase of $206 to $313 (at 20% down). The time when the homeowner realizes net cash savings (net positive cash flow) for houses built in accordance with the 1993 MEC was from 1 to 5 years. The home buyer who paid 20% down had recovered increases in down payments and mortgage payments in energy cost savings by the end of the fifth year or sooner and thereafter will save more money each year. For the multifamily unit home buyer first costs were estimated to increase by $121 to $223, resulting in an incremental down payment increase of $12 to $22 (at 10% down). The time when the homeowner realizes net cash savings (net positive cash flow) for houses built in accordance with the 1993 MEC was 1 to 3 years.

  20. Recommendations for 15% Above-Code Energy Efficiency Measures for Single Family Residences 

    E-Print Network [OSTI]

    Malhotra, M.; Mukhopadhyay, J.; Liu, B.; Culp, C.; Yazdani, B.

    2007-01-01T23:59:59.000Z

    15 TOTAL 63.7 62.7 56.7 58.2 60.6 62.5 61.3 60.5 61.6 61.1 SAVINGS% 1.5 10.9 8.7 4.8 1.8 3.7 5.0 3.3 4.1 Energy Systems Laboratory @2007 RESULTS IN TR O D UC TI O N BA SE CA SE CO N CL US IO N EE M ?S R ES UL TS $0 $1... Hot Water System 10.9% 13 Years Most Effective Individual Measures Combination 1 ENERGY SAVINGS PAYBACK Solar Hot Water System 15.7% 7.6 ? 13.5 Years Improved Duct Sealing Energy Systems Laboratory @2007 ESL CONTACT INFORMATION minimalhotra...

  1. Measurement of Exterior Foundation Insulation to Assess Durability in Energy-Saving Performance

    SciTech Connect (OSTI)

    Kehrer, Manfred [ORNL; Christian, Jeff [Oak Ridge National Laboratory (ORNL)

    2012-04-01T23:59:59.000Z

    The foundation of a house is a sometimes ignored component of the building because of its low visibility. It is increasingly evident, however, that attention to good foundation design and construction significantly benefits the homeowner and the builder by mitigating future problems. Good foundation design and construction practice involves not only insulating to save energy but also providing effective structural design as well as moisture, termite, and radon control techniques as appropriate. Energy efficiency in housing is augmented by use of exterior slab and basement insulation, but high moisture content in the insulation material has led to concerns about its durability. The activity under this task was to extract six different exterior insulation systems that were characterized at installation and have been in the ground for 9 months to 15 years. R-value and moisture content were measured and inspections conducted for evidence of termite intrusion or deterioration. Based on the results, the durability of the various systems has been documented and assessments made of which systems appear to be best practice. Heat flux and temperature measurement data had been archived for some of the exterior insulation tests, thereby providing a unique opportunity to assess energy-saving performance and durability over the long term. The results show that the durability of foundation insulation systems depends on insulation type as well as on foundation type and local boundary conditions, the latter of which may have a marked influence on the durability of energy-saving performance.

  2. In-Flight Measurement of the Absolute Energy Scale of the Fermi Large Area Telescope

    SciTech Connect (OSTI)

    Ackermann, M.; /Stanford U., HEPL /SLAC /KIPAC, Menlo Park; Ajello, M.; /Stanford U., HEPL /SLAC /KIPAC, Menlo Park; Allafort, A.; /Stanford U., HEPL /SLAC /KIPAC, Menlo Park; Atwood, W.B.; /UC, Santa Cruz; Axelsson, M.; /Stockholm U. /Stockholm U., OKC /Royal Inst. Tech., Stockholm; Baldini, L.; /INFN, Pisa; Barbiellini, G.; /INFN, Trieste /Trieste U.; Bastieri, D.; /INFN, Padua /Padua U.; Bechtol, K.; /Stanford U., HEPL /SLAC /KIPAC, Menlo Park; Bellazzini, R.; /INFN, Pisa; Berenji, B.; /Stanford U., HEPL /SLAC /KIPAC, Menlo Park; Bloom, E.D.; /Stanford U., HEPL /SLAC /KIPAC, Menlo Park; Bonamente, E.; /INFN, Perugia /Perugia U.; Borgland, A.W.; /Stanford U., HEPL /SLAC /KIPAC, Menlo Park; Bouvier, A.; /UC, Santa Cruz; Bregeon, J.; /INFN, Pisa; Brez, A.; /INFN, Pisa; Brigida, M.; /Bari Polytechnic /INFN, Bari; Bruel, P.; /Ecole Polytechnique; Buehler, R.; /Stanford U., HEPL /SLAC /KIPAC, Menlo Park; Buson, S.; /INFN, Padua /Padua U. /CSIC, Catalunya /Stanford U., HEPL /SLAC /KIPAC, Menlo Park /IASF, Milan /DAPNIA, Saclay /INFN, Perugia /Perugia U. /Stanford U., HEPL /SLAC /KIPAC, Menlo Park /Unlisted, US /Stanford U., HEPL /SLAC /KIPAC, Menlo Park /ASDC, Frascati /Perugia U. /Stanford U., HEPL /SLAC /KIPAC, Menlo Park /Montpellier U. /ASDC, Frascati /Bari Polytechnic /INFN, Bari /Naval Research Lab, Wash., D.C. /Stanford U., HEPL /SLAC /KIPAC, Menlo Park /Stanford U., HEPL /SLAC /KIPAC, Menlo Park /Stanford U., HEPL /SLAC /KIPAC, Menlo Park /Stanford U., HEPL /SLAC /KIPAC, Menlo Park /Stanford U., HEPL /SLAC /KIPAC, Menlo Park /Stanford U., HEPL /SLAC /KIPAC, Menlo Park /Montpellier U. /Bari Polytechnic /INFN, Bari /Ecole Polytechnique /Stanford U., HEPL /SLAC /KIPAC, Menlo Park /Ecole Polytechnique /Hiroshima U. /Stanford U., HEPL /SLAC /KIPAC, Menlo Park /Bari Polytechnic /INFN, Bari /INFN, Bari /NASA, Goddard /INFN, Perugia /Perugia U.; /more authors..

    2012-09-20T23:59:59.000Z

    The Large Area Telescope (LAT) on-board the Fermi Gamma-ray Space Telescope is a pair-conversion telescope designed to survey the gamma-ray sky from 20 MeV to several hundreds of GeV. In this energy band there are no astronomical sources with sufficiently well known and sharp spectral features to allow an absolute calibration of the LAT energy scale. However, the geomagnetic cutoff in the cosmic ray electron-plus-positron (CRE) spectrum in low Earth orbit does provide such a spectral feature. The energy and spectral shape of this cutoff can be calculated with the aid of a numerical code tracing charged particles in the Earth's magnetic field. By comparing the cutoff value with that measured by the LAT in different geomagnetic positions, we have obtained several calibration points between {approx}6 and {approx}13 GeV with an estimated uncertainty of {approx}2%. An energy calibration with such high accuracy reduces the systematic uncertainty in LAT measurements of, for example, the spectral cutoff in the emission from gamma ray pulsars.

  3. Average Neutron Total Cross Sections in the Unresolved Energy Range From ORELA High Resolutio Transmission Measurements

    SciTech Connect (OSTI)

    Derrien, H

    2004-05-27T23:59:59.000Z

    Average values of the neutron total cross sections of {sup 233}U, {sup 235}U, {sup 238}U, and {sup 239}Pu have been obtained in the unresolved resonance energy range from high-resolution transmission measurements performed at ORELA in the past two decades. The cross sections were generated by correcting the effective total cross sections for the self-shielding effects due to the resonance structure of the data. The self-shielding factors were found by calculating the effective and true cross sections with the computer code SAMMY for the same Doppler and resolution conditions as for the transmission measurements, using an appropriate set of resonance parameters. Our results are compared to results of previous measurements and to the current ENDF/B-VI data.

  4. Correlation measurements in nuclear {beta}-decay using traps and polarized low energy beams

    SciTech Connect (OSTI)

    Naviliat-Cuncic, Oscar [National Superconducting Cyclotron Laboratory and Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824 (United States)

    2013-05-06T23:59:59.000Z

    Precision measurements in nuclear {beta}-decay provide sensitive means to test discrete symmetries in the weak interaction and to determine some of the fundamental constants in semi-leptonic decays, like the coupling of the lightest quarks to charged weak bosons. The main motivation of such measurements is to find deviations from Standard Model predictions as possible indications of new physics. In this contribution I will focus on two topics related to precision measurements in nuclear {beta}-decay: i) the determination of the V{sub ud} element of the Cabibbo-Kobayashi-Maskawa quark mixing matrix from nuclear mirror transitions and ii) the search for exotic scalar or tensor contributions from {beta}{nu} angular correlations. The purpose is to underline the role being played by experimental techniques based on the confinement of radioactive species with atom and ion traps as well as the plans to use low energy polarized beams.

  5. A Measurement Study of GPU DVFS on Energy Conservation Xinxin Mei, Ling Sing Yung, Kaiyong Zhao, Xiaowen Chu

    E-Print Network [OSTI]

    Chu, Xiaowen

    A Measurement Study of GPU DVFS on Energy Conservation Xinxin Mei, Ling Sing Yung, Kaiyong Zhao}@comp.hkbu.edu.hk Abstract Energy conservation on computing systems has become an important research topic in recent years, there is a lack of study on the effectiveness of GPU DVFS on energy conservation. This paper presents a thorough

  6. Global analysis of Fo rster resonance energy transfer in live cells measured by fluorescence lifetime imaging microscopy exploiting

    E-Print Network [OSTI]

    van Stokkum, Ivo

    Global analysis of Fo¨ rster resonance energy transfer in live cells measured by fluorescence of Fo¨ rster resonance energy transfer (FRET) in live cells using the rise time of acceptor fluorescence those molecules that are involved in the energy-transfer process are monitored. This contrasts

  7. Impact of Control System Technologies on Industrial Energy Savings

    E-Print Network [OSTI]

    Parikh, P.; Pasmussen, B. P.

    2014-01-01T23:59:59.000Z

    to 2010 Image: U.S. Energy Information Administration's (EIA) Manufacturing Energy Consumption Survey (MECS) ESL-IE-14-05-40 Proceedings of the Thrity-Sixth Industrial Energy Technology Conference New Orleans, LA. May 20-23, 2014 INDUSTRIAL ENERGY... CONSUMPTION However, there’s still a need to look for newer energy saving ideas Image: U.S. Energy Information Administration's (EIA) http://www.eia.gov/forecasts/ieo/industrial.cfm Fresher energy saving ideas can be realized by focusing on the Control...

  8. Boundary displacement measurements using multi-energy soft x-rays

    SciTech Connect (OSTI)

    Tritz, K., E-mail: ktritz@pppl.gov; Stutman, D. [Department of Physics and Astronomy, Johns Hopkins University, Baltimore, Maryland 21218 (United States); Diallo, A.; LeBlanc, B. P. [Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543 (United States); Sabbagh, S. [Department of Applied Physics and Mathematics, Columbia University, New York City, New York 10027 (United States)

    2014-11-15T23:59:59.000Z

    The Multi-Energy Soft X-ray (ME-SXR) system on NSTX provides radial profiles of soft X-ray emission, measured through a set of filters with varying thickness, which have been used to reconstruct the electron temperature on fast time scales (?10?kHz). In addition to this functionality, here we show that the ME-SXR system can be used to measure the boundary displacement of the NSTX plasma with a few mm spatial resolution during magnetohydrodyamic (MHD) activity. Boundary displacement measurements can serve to inform theoretical predictions of neoclassical toroidal viscosity, and will be used to investigate other edge phenomena on NSTX-U. For example, boundary measurements using filtered SXR measurements can provide information on pedestal steepness and dynamic evolution leading up to and during edge localized modes (ELMs). Future applications include an assessment of a simplified, filtered SXR edge detection system as well as its suitability for real-time non-magnetic boundary feedback for ELMs, MHD, and equilibrium position control.

  9. State Level Analysis of Industrial Energy Use

    E-Print Network [OSTI]

    Elliott, R. N.; Shipley, A. M.; Brown, E.

    industrial energy use data is not readily available. The only data available is at the national or census regional level (DOE/EIA 200Ia). As a result, a methodology was developed based upon state-level economic activity data and national energy intensity... data reported in the 1998 Manufacturing Energy Consumption Survey (MECS)(DOE/EIA 2001a) and value of shipments data reported in the 1998 Annual Survey of Manufacturing (ASM)(Department of Commerce 2000) are used to estimate energy data from...

  10. A simplified spectrometer based on a fast digital oscilloscope for the measurement of high energy $?$-rays

    E-Print Network [OSTI]

    S. S. Markochev; N. V. Eremin

    2014-05-28T23:59:59.000Z

    A simplified digital spectrometer for the study of $\\gamma$-rays with energies up to $\\sim100$ MeV is presented and tested. The spectrometer is only consisted of a fast digital oscilloscope and three scintillation detectors which can work in single or in coincidence modes: two BGO-detectors comprising $\\varnothing\\,7.62\\times7.62$ cm BGO-crystalls and one plastic detector which includes an organic polystyrene-based scintillator. The basic properties of the spectrometer (energy resolution, time resolution, $\\gamma$-rays detection efficiency) were studied exhaustively also using a Geant4-based Monte-Carlo simulation. Several numerical algorithms for processing of waveforms in offline mode were proposed and tested to perform digital timing, pulse area measurement and processing of pile-up events without rejection. As a result, the spectrometer demonstrated $\\sim10\\%$ better energy resolution than was obtained by a common 10-bit CAMAC ADC with the same detectors. And the developed algorithm based on the pulse shape analysis for processing of pile-up events showed high efficiency under severe conditions (the portion of pile-ups contained $\\sim30\\%$). The measured maximum counting rate of the spectrometer was $1.8\\times10^5$ waveforms/sec.

  11. Upstream Measurements of Wind Profiles with Doppler Lidar for Improved Wind Energy Integration

    SciTech Connect (OSTI)

    Rodney Frehlich

    2012-10-30T23:59:59.000Z

    New upstream measurements of wind profiles over the altitude range of wind turbines will be produced using a scanning Doppler lidar. These long range high quality measurements will provide improved wind power forecasts for wind energy integration into the power grid. The main goal of the project is to develop the optimal Doppler lidar operating parameters and data processing algorithms for improved wind energy integration by enhancing the wind power forecasts in the 30 to 60 minute time frame, especially for the large wind power ramps. Currently, there is very little upstream data at large wind farms, especially accurate wind profiles over the full height of the turbine blades. The potential of scanning Doppler lidar will be determined by rigorous computer modeling and evaluation of actual Doppler lidar data from the WindTracer system produced by Lockheed Martin Coherent Technologies, Inc. of Louisville, Colorado. Various data products will be investigated for input into numerical weather prediction models and statistically based nowcasting algorithms. Successful implementation of the proposed research will provide the required information for a full cost benefit analysis of the improved forecasts of wind power for energy integration as well as the added benefit of high quality wind and turbulence information for optimal control of the wind turbines at large wind farms.

  12. Measuring kinetic energy changes in the mesoscale with low acquisition rates

    SciTech Connect (OSTI)

    Roldán, É. [ICFO–Institut de Ciències Fotòniques, Mediterranean Technology Park, Av. Carl Friedrich Gauss 3, 08860 Castelldefels (Barcelona) (Spain); GISC–Grupo Interdisciplinar de Sistemas Complejos, Madrid (Spain); Martínez, I. A.; Rica, R. A., E-mail: rul@ugr.es [ICFO–Institut de Ciències Fotòniques, Mediterranean Technology Park, Av. Carl Friedrich Gauss 3, 08860 Castelldefels (Barcelona) (Spain); Dinis, L. [GISC–Grupo Interdisciplinar de Sistemas Complejos, Madrid (Spain); Departamento de Física Atómica, Molecular y Nuclear, Universidad Complutense de Madrid, 28040 Madrid (Spain)

    2014-06-09T23:59:59.000Z

    We report on the measurement of the average kinetic energy changes in isothermal and non-isothermal quasistatic processes in the mesoscale, realized with a Brownian particle trapped with optical tweezers. Our estimation of the kinetic energy change allows to access to the full energetic description of the Brownian particle. Kinetic energy estimates are obtained from measurements of the mean square velocity of the trapped bead sampled at frequencies several orders of magnitude smaller than the momentum relaxation frequency. The velocity is tuned applying a noisy electric field that modulates the amplitude of the fluctuations of the position and velocity of the Brownian particle, whose motion is equivalent to that of a particle in a higher temperature reservoir. Additionally, we show that the dependence of the variance of the time-averaged velocity on the sampling frequency can be used to quantify properties of the electrophoretic mobility of a charged colloid. Our method could be applied to detect temperature gradients in inhomogeneous media and to characterize the complete thermodynamics of biological motors and of artificial micro and nanoscopic heat engines.

  13. Electroweak Measurements in Electron-Positron Collisions at W-Boson-Pair Energies at LEP

    E-Print Network [OSTI]

    Schael, S; Bruneliere, R; Buskulic, D; De Bonis, I; Decamp, D; Ghez, P; Goy, C; Jezequel, S; Lees, J P; Lucotte, A; Martin, F; Merle, E; Minard, M N; Nief, J Y; Odier, P; Pietrzyk, B; Trocme, B; Bravo, S; Casado, M P; Chmeissani, M; Comas, P; Crespo, J M; Fernandez, E; Fernandez-Bosman, M; Garrido, Ll; Grauges, E; Juste, A; Martinez, M; Merino, G; Miquel, R; Mir, Ll. M; Orteu, S; Pacheco, A; Park, I C; Perlas, J; Riu, I; Ruiz, H; Sanchez, F; Colaleo, A; Creanza, D; De Filippis, N; De Palma, M; Iaselli, G; Maggi, G; Maggi, M; Nuzzo, S; Ranieri, A; Raso, G; Ruggieri, F; Selvaggi, G; Silvestris, L; Tempesta, P; Tricomi, A; Zito, G; Huang, X; Lin, J; Ouyang, Q; Wang, T; Xie, Y; Xu, R; Xue, S; Zhang, J; Zhang, L; Zhao, W; Abbaneo, D; Bazarko, A; Becker, U; Boix, G; Bird, F; Blucher, E; Bonvicini, B; Bright-Thomas, P; Barklow, T; Buchmuller, O; Cattaneo, M; Cerutti, F; Ciulli, V; Clerbaux, B; Drevermann, H; Forty, R W; Frank, M; Greening, T C; Hagelberg, R; Halley, A W; Gianotti, F; Girone, M; Hansen, J B; Harvey, J; Jacobsen, R; Hutchcroft, D E; Janot, P; Jost, B; Knobloch, J; Kado, M; Lehraus, I; Lazeyras, P; Maley, P; Mato, P; May, J; Moutoussi, A; Pepe-Altarelli, M; Ranjard, F; Rolandi, L; Schlatter, D; Schmitt, B; Schneider, O; Tejessy, W; Teubert, F; Tomalin, I R; Tournefier, E; Veenhof, R; Valassi, A; Wiedenmann, W; Wright, A E; Ajaltouni, Z; Badaud, F; Chazelle, G; Deschamps, O; Dessagne, S; Falvard, A; Ferdi, C; Fayolle, D; Gay, P; Guicheney, C; Henrard, P; Jousset, J; Michel, B; Monteil, S; Montret, J C; Pallin, D; Pascolo, J M; Perret, P; Podlyski, F; Bertelsen, H; Fernley, T; Hansen, J D; Hansen, J R; Hansen, P H; Kraan, A C; Lindahl, A; Mollerud, R; Nilsson, B S; Rensch, B; Waananen, A; Daskalakis, G; Kyriakis, A; Markou, C; Simopoulou, E; Siotis, I; Vayaki, A; Zachariadou, K; Blondel, A; Bonneaud, G; Brient, J C; Machefert, F; Rouge, A; Rumpf, M; Swynghedauw, M; Tanaka, R; Verderi, M; Videau, H; Ciulli, V; Focardi, E; Parrini, G; Zachariadou, K; Corden, M; Georgiopoulos, C; Antonelli, A; Antonelli, M; Bencivenni, G; Bologna, G; Bossi, F; Campana, P; Capon, G; Cerutti, F; Chiarella, V; Felici, G; Laurelli, P; Mannocchi, G; Murtas, G P; Passalacqua, L; Picchi, P; Colrain, P; Have, I. ten; Hughes, I S; Kennedy, J; Knowles, I G; Lynch, J G; Morton, W T; Negus, P; O'Shea, V; Raine, C; Reeves, P; Scarr, J M; Smith, K; Thompson, A S; Turnbull, R M; Wasserbaech, S; Buchmuller, O; Cavanaugh, R; Dhamotharan, S; Geweniger, C; Hanke, P; Hansper, G; Hepp, V; Kluge, E E; Putzer, A; Sommer, J; Stenzel, H; Tittel, K; Werner, W; Wunsch, M; Beuselinck, R; Binnie, D M; Cameron, W; Davies, G; Dornan, P J; Goodsir, S; Marinelli, N; Martin, E B; Nash, J; Nowell, J; Rutherford, S A; Sedgbeer, J K; Thompson, J C; White, R; Williams, M D; Ghete, V M; Girtler, P; Kneringer, E; Kuhn, D; Rudolph, G; Bouhova-Thacker, E; Bowdery, C K; Buck, P G; Clarke, D P; Ellis, G; Finch, A J; Foster, F; Hughes, G; Jones, R.W L; Keemer, N R; Pearson, M R; Robertson, N A; Sloan, T; Smizanska, M; Snow, S W; Williams, M I; van der Aa, O; Delaere, C; Leibenguth, G; Lemaitre, V; Bauerdick, L.A T; Blumenschein, U; van Gemmeren, P; Giehl, I; Holldorfer, F; Jakobs, K; Kasemann, M; Kayser, F; Kleinknecht, K; Muller, A S; Quast, G; Renk, B; Rohne, E; Sander, H G; Schmeling, S; Wachsmuth, H; Wanke, R; Zeitnitz, C; Ziegler, T; Aubert, J J; Benchouk, C; Bonissent, A; Carr, J; Coyle, P; Curtil, C; Ealet, A; Etienne, F; Fouchez, D; Motsch, F; Payre, P; Rousseau, D; Tilquin, A; Talby, M; Thulasidas, M; Aleppo, M; Antonelli, M; Ragusa, F; Buscher, V; David, A; Dietl, H; Ganis, G; Huttmann, K; Lutjens, G; Mannert, C; Manner, W; Moser, H G; Settles, R; Seywerd, H; Stenzel, H; Villegas, M; Wiedenmann, W; Wolf, G; Azzurri, P; Boucrot, J; Callot, O; Chen, S; Cordier, A; Davier, M; Duflot, L; Grivaz, J F; Heusse, Ph; Jacholkowska, A; Le Diberder, F; Lefrancois, J; Mutz, A M; Schune, M H; Serin, L; Veillet, J J; Videau, I; Zerwas, D; Azzurri, P; Bagliesi, G; Bettarini, S; Boccali, T; Bozzi, C; Calderini, G; Dell'Orso, R; Fantechi, R; Ferrante, I; Fidecaro, F; Foa, L; Giammanco, A; Giassi, A; Gregorio, A; Ligabue, F; Lusiani, A; Marrocchesi, P S; Messineo, A; Palla, F; Rizzo, G; Sanguinetti, G; Sciaba, A; Sguazzoni, G; Spagnolo, P; Steinberger, J; Tenchini, R; Vannini, C; Venturi, A; Verdini, P G; Awunor, O; Blair, G A; Cowan, G; Garcia-Bellido, A; Green, M G; Medcalf, T; Misiejuk, A; Strong, J A; Teixeira-Dias, P; Botterill, D R; Clifft, R W; Edgecock, T R; Edwards, M; Haywood, S J; Norton, P R; Tomalin, I R; Ward, J J; Bloch-Devaux, B; Boumediene, D; Colas, P; Emery, S; Fabbro, B; Kozanecki, W; Lancon, E; Lemaire, M C; Locci, E; Perez, P; Rander, J; Renardy, J F; Roussarie, A; Schuller, J P; Schwindling, J; Tuchming, B; Vallage, B; Black, S N; Dann, J H; Kim, H Y; Konstantinidis, N; Litke, A M; McNeil, M A; Taylor, G; Booth, C N; Cartwright, S

    2013-01-01T23:59:59.000Z

    Electroweak measurements performed with data taken at the electron-positron collider LEP at CERN from 1995 to 2000 are reported. The combined data set considered in this report corresponds to a total luminosity of about 3~fb$^{-1}$ collected by the four LEP experiments ALEPH, DELPHI, L3 and OPAL, at centre-of-mass energies ranging from $130~GeV$ to $209~GeV$. Combining the published results of the four LEP experiments, the measurements include total and differential cross-sections in photon-pair, fermion-pair and four-fermion production, the latter resulting from both double-resonant WW and ZZ production as well as singly resonant production. Total and differential cross-sections are measured precisely, providing a stringent test of the Standard Model at centre-of-mass energies never explored before in electron-positron collisions. Final-state interaction effects in four-fermion production, such as those arising from colour reconnection and Bose-Einstein correlations between the two W decay systems arising ...

  14. Turning Bacteria into Biofuel: Development of an Integrated Microbial Electrocatalytic (MEC) System for Liquid Biofuel Production from CO2

    SciTech Connect (OSTI)

    None

    2010-08-01T23:59:59.000Z

    Electrofuels Project: LBNL is improving the natural ability of a common soil bacteria called Ralstonia eutropha to use hydrogen and carbon dioxide for biofuel production. First, LBNL is genetically modifying the bacteria to produce biofuel at higher concentrations. Then, LBNL is using renewable electricity obtained from solar, wind, or wave power to produce high amounts of hydrogen in the presence of the bacteria—increasing the organism’s access to its energy source and improving the efficiency of the biofuel-creation process. Finally, LBNL is tethering electrocatalysts to the bacteria’s surface which will further accelerate the rate at which the organism creates biofuel. LBNL is also developing a chemical method to transform the biofuel that the bacteria produce into ready-to-use jet fuel.

  15. Cost-Effective Energy Efficiency Measures for Above Code (2003 and 2009 IECC) Residential Buildings in the City of Arlington

    E-Print Network [OSTI]

    2011-01-01T23:59:59.000Z

    -code approaches that have been made in the CoA during the 2008-2010. #1; Results of the current project: Recommendations of 17 energy efficiency measures (EEMs) to maximize energy savings for residential buildings in the CoA with #1; estimated cost... energy savings from heating, cooling, lighting, equipment and DHW for emissions reductions determination. * Building type: Residential 2. Savings depend on fuel mix used. * Gross area: 2,325 sq-ft * Energy Cost: Electricity = $0.11/k...

  16. Energy Efficiency Improvement by Measurement and Control: A Case Study of Reheating Furnaces in the Steel Industry

    E-Print Network [OSTI]

    Martensson, A.

    , April 22-23, 1992 Table I. Furnace energy use in Sweden, 1989. Source: Jemkontoret, Stockholm, Sweden. Fuel Energy use a [GWh) ([10 9 Btu)) aI 1680 (5732) Propane 1272 (4340) Natural gas 48 (164) Coke oven gas 400 (1365) Electricity (induction...ENERGY EFFICIENCY IMPROVEMENT BY MEASUREMENT AND CONTROL A case study of reheating furnaces in the steel industry Anders Mlirtensson Department of Environmental and Energy Systems Studies Lund University S-22362 Lund Sweden ABSTRACT...

  17. Certifying Industrial Energy Efficiency Performance: Aligning Management, Measurement, and Practice to Create Market Value

    E-Print Network [OSTI]

    McKane, Aimee; Scheihing, Paul; Williams, Robert

    2008-01-01T23:59:59.000Z

    knowledge concerning energy management best practices andapplying and validating energy management best practices inan international industrial energy management standard that

  18. Measurement of neutron capture on $^{48}$Ca at thermal and thermonuclear energies

    E-Print Network [OSTI]

    H. Beer; C. Coceva; P. V. Sedyshev; Yu. P. Popov; H. Herndl; R. Hofinger; P. Mohr; H. Oberhummer

    1996-08-07T23:59:59.000Z

    At the Karlsruhe pulsed 3.75\\,MV Van de Graaff accelerator the thermonuclear $^{48}$Ca(n,$\\gamma$)$^{49}$Ca(8.72\\,min) cross section was measured by the fast cyclic activation technique via the 3084.5\\,keV $\\gamma$-ray line of the $^{49}$Ca-decay. Samples of CaCO$_3$ enriched in $^{48}$Ca by 77.87\\,\\% were irradiated between two gold foils which served as capture standards. The capture cross-section was measured at the neutron energies 25, 151, 176, and 218\\,keV, respectively. Additionally, the thermal capture cross-section was measured at the reactor BR1 in Mol, Belgium, via the prompt and decay $\\gamma$-ray lines using the same target material. The $^{48}$Ca(n,$\\gamma$)$^{49}$Ca cross-section in the thermonuclear and thermal energy range has been calculated using the direct-capture model combined with folding potentials. The potential strengths are adjusted to the scattering length and the binding energies of the final states in $^{49}$Ca. The small coherent elastic cross section of $^{48}$Ca+n is explained through the nuclear Ramsauer effect. Spectroscopic factors of $^{49}$Ca have been extracted from the thermal capture cross-section with better accuracy than from a recent (d,p) experiment. Within the uncertainties both results are in agreement. The non-resonant thermal and thermonuclear experimental data for this reaction can be reproduced using the direct-capture model. A possible interference with a resonant contribution is discussed. The neutron spectroscopic factors of $^{49}$Ca determined from shell-model calculations are compared with the values extracted from the experimental cross sections for $^{48}$Ca(d,p)$^{49}$Ca and $^{48}$Ca(n,$\\gamma$)$^{49}$Ca.

  19. ENERGY-EFFICIENT NEW COMMERCIAL BUILDINGS IN THE NORTHWEST REGION: A COMPILATION OF MEASURED DATA

    E-Print Network [OSTI]

    Piette, M.A.

    2010-01-01T23:59:59.000Z

    use for ten categories of new, energy- efficient commercialto the estimates for new energy-efficient buildings, weof energy use for new energy-efficient all-electric

  20. 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