Sample records for appliances usage indicators

  1. "Table HC9.10 Home Appliances Usage Indicators by Climate Zone...

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

    0 Home Appliances Usage Indicators by Climate Zone, 2005" " Million U.S. Housing Units" ,,"Climate Zone1" ,,"Less than 2,000 CDD and --",,,,"2,000 CDD or More and Less than 4,000...

  2. "Table HC15.10 Home Appliances Usage Indicators by Four Most...

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

    AppliancesTools",56.2,5,3.4,4.3,6.2 "Other Appliances Used" "Auto BlockEngineBattery Heater",0.8,"Q","N","N","N" "Hot Tub or Spa",6.7,"Q",0.7,0.5,1.2 "Swimming Pool with...

  3. "Table HC11.10 Home Appliances Usage Indicators by Northeast...

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

    AppliancesTools",56.2,12.2,9.4,2.8 "Other Appliances Used" "Auto BlockEngineBattery Heater",0.8,"Q","Q","Q" "Hot Tub or Spa",6.7,1,0.8,0.2 "Swimming Pool with...

  4. "Table HC12.10 Home Appliances Usage Indicators by Midwest Census...

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

    AppliancesTools",56.2,12,9,3.1 "Other Appliances Used" "Auto BlockEngineBattery Heater",0.8,0.4,"Q","Q" "Hot Tub or Spa",6.7,1.3,0.9,0.4 "Swimming Pool with...

  5. "Table HC14.10 Home Appliances Usage Indicators by West Census...

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

    AppliancesTools",56.2,11.6,3.3,8.2 "Other Appliances Used" "Auto BlockEngineBattery Heater",0.8,0.2,"Q",0.1 "Hot Tub or Spa",6.7,2.2,0.6,1.7 "Swimming Pool with...

  6. Table HC15.10 Home Appliances Usage Indicators by Four Most...

    Gasoline and Diesel Fuel Update (EIA)

    Tools... 56.2 5.0 3.4 4.3 6.2 Other Appliances Used Auto BlockEngineBattery Heater... 0.8 Q N N N Hot Tub or Spa......

  7. "Table HC13.10 Home Appliances Usage Indicators by South Census...

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

    Tools",56.2,20.5,10.8,3.6,6.1 "Other Appliances Used" "Auto BlockEngineBattery Heater",0.8,"N","N","N","N" "Hot Tub or Spa",6.7,2.1,1.2,0.2,0.7 "Swimming Pool with...

  8. "Table HC4.10 Home Appliances Usage Indicators by Renter-Occupied...

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

    Tools",56.2,23.6,4.4,2.4,4.6,11.3,0.8 "Other Appliances Used" "Auto BlockEngineBattery Heater",0.8,"Q","Q","Q","Q","N","N" "Hot Tub or Spa",6.7,"Q","Q","Q","N","N","Q" "Swimming...

  9. "Table HC3.10 Home Appliances Usage Indicators by Owner-Occupied...

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

    Tools",56.2,32.6,25,2.2,1.1,1.5,2.8 "Other Appliances Used" "Auto BlockEngineBattery Heater",0.8,0.7,0.7,"N","Q","N","Q" "Hot Tub or Spa",6.7,6.5,6.2,"Q","N","N","Q" "Swimming...

  10. "Table HC8.10 Home Appliances Usage Indicators by Urban/Rural...

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

    Tools",56.2,27.2,10.6,9.3,9.2 "Other Appliances Used" "Auto BlockEngineBattery Heater",0.8,"Q","Q","Q",0.4 "Hot Tub or Spa",6.7,1.7,1.2,2.2,1.6 "Swimming Pool with...

  11. Table HC6.10 Home Appliances Usage Indicators by Number of Household...

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

    Tools..... 56.2 20.1 14.4 8.6 6.9 6.2 Other Appliances Used Auto BlockEngineBattery Heater... 0.8 Q 0.4 Q Q Q Hot Tub or Spa......

  12. "Table HC10.10 Home Appliances Usage Indicators by U.S. Census...

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

    Tools",56.2,12.2,12,20.5,11.6 "Other Appliances Used" "Auto BlockEngineBattery Heater",0.8,"Q",0.4,"N",0.2 "Hot Tub or Spa",6.7,1,1.3,2.1,2.2 "Swimming Pool with...

  13. "Table HC13.10 Home Appliances Usage Indicators by South Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances Housing

  14. "Table HC14.10 Home Appliances Usage Indicators by West Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances78 Water3.90

  15. "Table HC15.10 Home Appliances Usage Indicators by Four Most Populated States, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7835 Housing0

  16. "Table HC3.10 Home Appliances Usage Indicators by Owner-Occupied Housing Unit, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances78352580 Home

  17. "Table HC10.5 Space Heating Usage Indicators by U.S. Census...

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

    5 Space Heating Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Space Heating Usage...

  18. "Table HC7.10 Home Appliances Usage Indicators by Household...

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

    Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than...

  19. Table HC15.10 Home Appliances Usage Indicators by Four Most Populated States, 2005

    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-14Total DeliveredPrincipal shale gas:14:9a.0 Home

  20. Table HC6.10 Home Appliances Usage Indicators by Number of Household Members, 2005

    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-14Total DeliveredPrincipal shale gas:14:9a.0 Home7.4

  1. Table HC15.10 Home Appliances Usage Indicators by Four Most Populated States, 2005

    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 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a.

  2. Table HC6.10 Home Appliances Usage Indicators by Number of Household Members, 2005

    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 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a.7 Million0 Home

  3. "Table HC7.10 Home Appliances Usage Indicators by Household Income, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home8 Water0 Home

  4. "Table HC9.10 Home Appliances Usage Indicators by Climate Zone, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home8 Water00 Home

  5. "Table HC8.5 Space Heating Usage Indicators by Urban/Rural Location...

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

    5 Space Heating Usage Indicators by UrbanRural Location, 2005" " Million U.S. Housing Units" ,,"UrbanRural Location (as Self-Reported)" ,"Housing Units (millions)" "Space Heating...

  6. "Table HC9.5 Space Heating Usage Indicators by Climate Zone...

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

    5 Space Heating Usage Indicators by Climate Zone, 2005" " Million U.S. Housing Units" ,,"Climate Zone1" ,,"Less than 2,000 CDD and --",,,,"2,000 CDD or More and Less than 4,000...

  7. "Table HC4.5 Space Heating Usage Indicators by Renter-Occupied...

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

    5 Space Heating Usage Indicators by Renter-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Renter-Occupied Housing Units (millions)","Type of Renter-Occupied Housing...

  8. "Table HC3.5 Space Heating Usage Indicators by Owner-Occupied...

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

    5 Space Heating Usage Indicators by Owner-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Owner-Occupied Housing Units (millions)","Type of Owner-Occupied Housing...

  9. "Table HC15.13 Lighting Usage Indicators by Four Most Populated...

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

    Units (millions)","Four Most Populated States" "Lighting Usage Indicators",,"New York","Florida","Texas","California" "Total U.S. Housing Units",111.1,7.1,7,8,12.1 "Indoor...

  10. A study of the validity of language usage as an indicator of ethnic identification

    E-Print Network [OSTI]

    Patella, Victoria Morrow

    1971-01-01T23:59:59.000Z

    for Index by Sex Analysis of Variance With Respect to Index of Language Usage Mean Index by Sex, Place of Residence, and Border/Non-Border Residence Results of Anova and Mean Index of Language Usage of Mexican American Males and Females With Respect... by Sex: Total Column Indicates What Percent of all R's had Each Index, and Sex Columns Indicate for Each Index, What the Sex Ratio was 7J 1 1 li 21 L Frequency Distribution for Index by Border/ Non-Border Residence Table Page( 22 Percentage...

  11. "Table HC10.10 Home Appliances Usage Indicators by U.S. Census Regions, 2005"

    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,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4 Cooled0.10

  12. "Table HC11.10 Home Appliances Usage Indicators by Northeast Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436 Air780.90

  13. "Table HC12.10 Home Appliances Usage Indicators by Midwest Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362780 Home

  14. "Table HC4.10 Home Appliances Usage Indicators by Renter-Occupied Housing Unit, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home7 Air-ConditioningHC3.90

  15. "Table HC8.10 Home Appliances Usage Indicators by Urban/Rural Location, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home8 Water0 Home250

  16. Usage based indicators to assess the impact of scholarly works: architecture and method

    DOE Patents [OSTI]

    Bollen, Johan (Santa Fe, NM); Van De Sompel, Herbert (Santa Fe, NM)

    2012-03-13T23:59:59.000Z

    Although recording of usage data is common in scholarly information services, its exploitation for the creation of value-added services remains limited due to concerns regarding, among others, user privacy, data validity, and the lack of accepted standards for the representation, sharing and aggregation of usage data. A technical, standards-based architecture for sharing usage information is presented. In this architecture, OpenURL-compliant linking servers aggregate usage information of a specific user community as it navigates the distributed information environment that it has access to. This usage information is made OAI-PMH harvestable so that usage information exposed by many linking servers can be aggregated to facilitate the creation of value-added services with a reach beyond that of a single community or a single information service.

  17. Table HC15.7 Air-Conditioning Usage Indicators by Four Most...

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

    or More Units... 5.4 0.7 Q 0.5 Q Central Air-Conditioning Usage Air-Conditioned Floorspace (Square Feet)...

  18. "Table HC13.13 Lighting Usage Indicators by South Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances Housing13

  19. "Table HC14.13 Lighting Usage Indicators by West Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances783 Lighting

  20. APPLIANCE STANDARDS

    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(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20ALSNewstt^APPLIANCE STANDARDS How they

  1. Arnold Schwarzenegger 2010 APPLIANCE

    E-Print Network [OSTI]

    : Appliance Efficiency Regulations, appliance standards, refrigerators, air conditioners, space heaters, water heaters, pool heaters, pool pumps, electric spas, pool pump motors, plumbing fittings, plumbing fixtures, showerheads, spray valves, faucets, tub spout diverters, water closets, urinals, ceiling fans, ceiling fan

  2. "Table HC13.5 Space Heating Usage Indicators by South Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances Housing13245

  3. "Table HC13.7 Air-Conditioning Usage Indicators by South Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7

  4. "Table HC14.12 Home Electronics Usage Indicators by West Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances78

  5. "Table HC14.5 Space Heating Usage Indicators by West Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7835 Space

  6. "Table HC14.7 Air-Conditioning Usage Indicators by West Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7835 Space67

  7. "Table HC15.12 Home Electronics Usage Indicators by Four Most Populated States, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances78352 Home

  8. "Table HC15.13 Lighting Usage Indicators by Four Most Populated States, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances78352 Home3

  9. "Table HC15.5 Space Heating Usage Indicators by Four Most Populated States, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances783525 Space

  10. "Table HC15.7 Air-Conditioning Usage Indicators by Four Most Populated States, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances783525

  11. "Table HC3.12 Home Electronics Usage Indicators by Owner-Occupied Housing Unit, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances783525802

  12. "Table HC3.13 Lighting Usage Indicators by Owner-Occupied Housing Unit Zone, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7835258023

  13. "Table HC3.5 Space Heating Usage Indicators by Owner-Occupied Housing Unit, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7835258023245

  14. Appliance Efficiency Regulations

    Broader source: Energy.gov [DOE]

    Note: The federal government has imposed and updated appliance efficiency standards through several legislative acts,* and now has standards in place or under development for 30 classes of...

  15. "Table HC3.7 Air-Conditioning Usage Indicators by Owner-Occupied Housing Unit, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home7 Air-Conditioning Usage

  16. An intelligent appliance control

    SciTech Connect (OSTI)

    Maher, C.A. Jr. [Tridelta Industries, Inc., Mentor, OH (United States)] [Tridelta Industries, Inc., Mentor, OH (United States); McMahon, G. [Pitco Frialator, Inc., Concord, NH (United States)] [Pitco Frialator, Inc., Concord, NH (United States)

    1998-05-01T23:59:59.000Z

    This paper describes the use of a microcontroller to implement an adaptive form of an ON/OFF-type control system. The principal benefits that this technique offers are the ability to self adjust automatically to the dynamics of the appliance being controlled and to minimize the cyclic wear and tear on the final heat-control elements. This technique is best applied to those systems with at least one large energy storage element (e.g., thermal mass), not needing fine control of the controlled variable, and ones using ON/OFF (relay type) rather than continuous final control outputs. This profile encompasses a large number of potential applications, particularly in the appliance field.

  17. Energy Efficiency Standards for Appliances

    Broader source: Energy.gov [DOE]

    '' Note: The federal government has imposed and updated appliance efficiency standards through several legislative acts,* and now has standards in place or under development for 30 classes of...

  18. Appliance and Equipment Efficiency Standards

    Broader source: Energy.gov [DOE]

    '' Note: The federal government has imposed and updated appliance efficiency standards through several legislative acts,* and now has standards in place or under development for 30 classes of...

  19. Streamlining ENERGY STAR Appliance Testing

    Broader source: Energy.gov [DOE]

    To save taxpayer dollars and help lower the costs of innovative energy-efficient technologies, the Energy Department is streamlining ENERGY STAR testing for appliances.

  20. usage_household2001.pdf

    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,1Stocksa. Appliances by Climate Zone,8,1996and8.1 64.1 4.2 1.8Usage

  1. Appliance and Equipment Standards

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The Future of1Albuquerque,APPENDIX A: Technical Support DocumentAppliance and

  2. Appliances, Lighting, Electronics, and Miscellaneous Equipment Electricity Use in New Homes

    E-Print Network [OSTI]

    Brown, Richard E.; Rittelman, William; Parker, Danny; Homan, Gregory

    2007-01-01T23:59:59.000Z

    62440 Appliances, Lighting, Electronics, and Miscellaneousof California. Appliances, Lighting, Electronics, anduses (appliances, lighting, electronics, and miscellaneous

  3. Remote repair appliance

    DOE Patents [OSTI]

    Heumann, F.K.; Wilkinson, J.C.; Wooding, D.R.

    1997-12-16T23:59:59.000Z

    A remote appliance for supporting a tool for performing work at a work site on a substantially circular bore of a work piece and for providing video signals of the work site to a remote monitor comprises: a base plate having an inner face and an outer face; a plurality of rollers, wherein each roller is rotatably and adjustably attached to the inner face of the base plate and positioned to roll against the bore of the work piece when the base plate is positioned against the mouth of the bore such that the appliance may be rotated about the bore in a plane substantially parallel to the base plate; a tool holding means for supporting the tool, the tool holding means being adjustably attached to the outer face of the base plate such that the working end of the tool is positioned on the inner face side of the base plate; a camera for providing video signals of the work site to the remote monitor; and a camera holding means for supporting the camera on the inner face side of the base plate, the camera holding means being adjustably attached to the outer face of the base plate. In a preferred embodiment, roller guards are provided to protect the rollers from debris and a bore guard is provided to protect the bore from wear by the rollers and damage from debris. 5 figs.

  4. Remote repair appliance

    DOE Patents [OSTI]

    Heumann, Frederick K. (Ballston Spa, NY); Wilkinson, Jay C. (Ballston Spa, NY); Wooding, David R. (Saratoga Springs, NY)

    1997-01-01T23:59:59.000Z

    A remote appliance for supporting a tool for performing work at a worksite on a substantially circular bore of a workpiece and for providing video signals of the worksite to a remote monitor comprising: a baseplate having an inner face and an outer face; a plurality of rollers, wherein each roller is rotatably and adjustably attached to the inner face of the baseplate and positioned to roll against the bore of the workpiece when the baseplate is positioned against the mouth of the bore such that the appliance may be rotated about the bore in a plane substantially parallel to the baseplate; a tool holding means for supporting the tool, the tool holding means being adjustably attached to the outer face of the baseplate such that the working end of the tool is positioned on the inner face side of the baseplate; a camera for providing video signals of the worksite to the remote monitor; and a camera holding means for supporting the camera on the inner face side of the baseplate, the camera holding means being adjustably attached to the outer face of the baseplate. In a preferred embodiment, roller guards are provided to protect the rollers from debris and a bore guard is provided to protect the bore from wear by the rollers and damage from debris.

  5. Energy Star Appliances 1 Texas A&M AgriLife Extension Service ENERGY STAR Appliances

    E-Print Network [OSTI]

    Energy Star® Appliances 1 Texas A&M AgriLife Extension Service ENERGY STAR® Appliances ENERGY STAR®-labeled appliances save you money by using less electricity and water than other appliances. Better appliance energy efficiency comes from quality materials and technologically advanced materials. Although energy efficient

  6. Incorporating Experience Curves in Appliance Standards Analysis

    E-Print Network [OSTI]

    Desroches, Louis-Benoit

    2012-01-01T23:59:59.000Z

    appliance price projections than the assumption-basedrepresentative projection of future prices than the constant

  7. Less Watts, More Performance: An Intelligent Storage Engine for Data Appliances

    E-Print Network [OSTI]

    Teubner, Jens

    how Ibex reduces data movement, CPU usage, and overall energy consumption in database appliances27, 2013, New York, New York, USA. Copyright 2013 ACM 978-1-4503-2037-5/13/06 ...$10.00. MySQL Server M y- proves performance and also reduces energy consumption. Query processing in relational databases may

  8. From Measurements to Sustainable Choices: Non-intrusive Fine-grained Sensing of Resource Usage in Buildings

    E-Print Network [OSTI]

    Jalali. Bahram

    From Measurements to Sustainable Choices: Non-intrusive Fine- grained Sensing of Resource Usage. Example pictures of non-intrusive pipe level water monitoring test-bed and non- intrusive appliance power

  9. GE Appliances: Order (2010-CE-2113)

    Broader source: Energy.gov [DOE]

    DOE issued an Order after entering into a Compromise Agreement with General Electric Appliances after finding GE Appliances had failed to certify that certain models of dehumidifiers comply with the applicable energy conservation standards.

  10. Catalog of DC Appliances and Power Systems

    E-Print Network [OSTI]

    Garbesi, Karina

    2012-01-01T23:59:59.000Z

    DC Conversion Loss Savings of Appliances Running on DirectConversion Loss Savings of Appliances Running on Direct DCrunning on AC and, in column B, the avoided AC-DC conversions losses

  11. Appliance Standards and Rulemaking Federal Advisory Committee...

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

    Issuance Appliance Standards and Rulemaking Federal Advisory Committee (ASRAC) - Central Air Conditioner Regional Standards Enforcement Working Group; Notice of Open...

  12. Appliance Standards and Rulemaking Federal Advisory Committee...

    Energy Savers [EERE]

    of the National Energy Laboratories Buildings Home About Emerging Technologies Residential Buildings Commercial Buildings Appliance & Equipment Standards Building Energy Codes...

  13. Modeling of GE Appliances: Final Presentation

    SciTech Connect (OSTI)

    Fuller, Jason C.; Vyakaranam, Bharat; Leistritz, Sean M.; Parker, Graham B.

    2013-01-31T23:59:59.000Z

    This report is the final in a series of three reports funded by U.S. Department of Energy Office of Electricity Delivery and Energy Reliability (DOE-OE) in collaboration with GE Appliances through a Cooperative Research and Development Agreement (CRADA) to describe the potential of GE Appliances DR-enabled appliances to provide benefits to the utility grid.

  14. Laboratory Testing of Demand-Response Enabled Household Appliances

    SciTech Connect (OSTI)

    Sparn, B.; Jin, X.; Earle, L.

    2013-10-01T23:59:59.000Z

    With the advent of the Advanced Metering Infrastructure (AMI) systems capable of two-way communications between the utility's grid and the building, there has been significant effort in the Automated Home Energy Management (AHEM) industry to develop capabilities that allow residential building systems to respond to utility demand events by temporarily reducing their electricity usage. Major appliance manufacturers are following suit by developing Home Area Network (HAN)-tied appliance suites that can take signals from the home's 'smart meter,' a.k.a. AMI meter, and adjust their run cycles accordingly. There are numerous strategies that can be employed by household appliances to respond to demand-side management opportunities, and they could result in substantial reductions in electricity bills for the residents depending on the pricing structures used by the utilities to incent these types of responses.The first step to quantifying these end effects is to test these systems and their responses in simulated demand-response (DR) conditions while monitoring energy use and overall system performance.

  15. Appliances, Lighting, Electronics, and Miscellaneous Equipment Electricity Use in New Homes

    E-Print Network [OSTI]

    Brown, Richard E.; Rittelman, William; Parker, Danny; Homan, Gregory

    2007-01-01T23:59:59.000Z

    62440 Appliances, Lighting, Electronics, and MiscellaneousAppliances, Lighting, Electronics, and Miscellaneoususes (appliances, lighting, electronics, and miscellaneous

  16. Usage by Job Size

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

    Usage by Job Size Table Usage by Job Size Table page loading animation Usage Query Interface System All Hopper Edison Carver Planck Matgen Franklin Hopper 1 Magellan Dirac Bassi...

  17. Distinctive Appliances: Proposed Penalty (2014-CE-23020)

    Broader source: Energy.gov [DOE]

    DOE alleged in a Notice of Proposed Civil Penalty that Distinctive Appliances Distributing Inc. failed to certify cooking products as compliant with the applicable energy conservation standards.

  18. Smart Domestic Appliances Provide Flexibility for Sustainable...

    Open Energy Info (EERE)

    benefits and difficulties associated with smart grid appliances. The presenter discusses demand response and load management and how users of smart grid can benefit renewable...

  19. Appliance and Equipment Energy Efficiency Standards

    Broader source: Energy.gov [DOE]

    '' Note: The federal government has imposed and updated appliance efficiency standards through several legislative acts,* and now has standards in place or under development for 30 classes of...

  20. Earthjustice, Appliance Standards Awareness Project, Natural...

    Energy Savers [EERE]

    Council - Comments in response to DOE solicitation of views on the implementation of test procedure waivers for large capacity clothes washers Earthjustice, Appliance Standards...

  1. GE Appliances: Proposed Penalty (2010-CE-2113)

    Broader source: Energy.gov [DOE]

    DOE alleged in a Notice of Proposed Civil Penalty that General Electric Appliances failed to certify a variety of dehumidifiers as compliant with the applicable energy conservation standards.

  2. Appliance remanufacturing and life cycle energy and economic savings

    E-Print Network [OSTI]

    Boustani, Avid

    In this paper we evaluate the energy and economic consequences of appliance remanufacturing relative to purchasing new. The appliances presented in this report constitute major residential appliances: refrigerator, dishwasher, ...

  3. Energy Efficiency Indicators Methodology Booklet

    E-Print Network [OSTI]

    Sathaye, Jayant

    2010-01-01T23:59:59.000Z

    Lighting Appliance Definition Energy use per householdE/employee Indicator E/m Definition Energy use per squarem 2 per building type Definition Energy per square meter for

  4. State Energy Efficient Appliance Rebate Program (SEEARP) American...

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

    State Energy Efficient Appliance Rebate Program (SEEARP) American Recovery and Reinvestment Act (ARRA) Funding Opportunity Number: DE-FOA-0000119 State Energy Efficient Appliance...

  5. Sales Tax Holiday for Energy-Efficient Appliances

    Broader source: Energy.gov [DOE]

    In November 2007, Maryland enacted legislation creating a sales and use tax "holiday" for certain energy-efficient appliances, beginning in 2011. Under the law, qualifying appliances purchased...

  6. Secretary Chu Announces More Stringent Appliance Standards for...

    Energy Savers [EERE]

    Secretary Chu Announces More Stringent Appliance Standards for Home Water Heaters and Other Heating Products Secretary Chu Announces More Stringent Appliance Standards for Home...

  7. Four-County EMC- Residential Energy Efficiency Appliance Rebate Program

    Broader source: Energy.gov [DOE]

    Four-County EMC offers its customers $50 rebates for purchasing certain Energy Star appliances. Eligible appliances include refrigerators, dishwashers, clothes washers and freezers. The rebates are...

  8. MC Appliance: Order (2012-CE-1508)

    Broader source: Energy.gov [DOE]

    DOE ordered CNA International Inc. d/b/a MC Appliance Corporation to pay a $8,000 civil penalty after finding MC Appliance had failed to certify that certain models of room air conditioners comply with the applicable energy conservation standards.

  9. APPLIANCE EFFICIENCY REGULATIONS FOR REFRIGERATORS AND FREEZERS

    E-Print Network [OSTI]

    CENTRAL AIR CONDITIONERS GAS SPACE HEATERS WATER HEATERS PLUMBING FITTINGS FLUORESCENT LAMP BALLASTS LUMINAIRES GAS COOKING APPLIANCES AND GAS POOL HEATERS SEPTEMBER 1992 #12;TABLE OF CONTENTS APPLIANCE) Gas space heaters, excluding the following types: (1) gravity type central furnaces; (2) heaters

  10. Retrospective Evaluation of Appliance Price Trends

    SciTech Connect (OSTI)

    Dale, Larry; Antinori, Camille; McNeil, Michael; McMahon, James E.; Fujita, K. Sydny

    2008-07-20T23:59:59.000Z

    Real prices of major appliances (refrigerators, dishwashers, heating and cooling equipment) have been falling since the late 1970s despite increases in appliance efficiency and other quality variables. This paper demonstrates that historic increases in efficiency over time, including those resulting from minimum efficiency standards, incur smaller price increases than were expected by Department of Energy (DOE) forecasts made in conjunction with standards. This effect can be explained by technological innovation, which lowers the cost of efficiency, and by market changes contributing to lower markups and economies of scale in production of higher efficiency units. We reach four principal conclusions about appliance trends and retail price setting: 1. For the past several decades, the retail price of appliances has been steadily falling while efficiency has been increasing. 2. Past retail price predictions made by DOE analyses of efficiency standards, assuming constant prices over time, have tended to overestimate retail prices. 3. The average incremental price to increase appliance efficiency has declined over time. DOE technical support documents have typically overestimated this incremental price and retail prices. 4. Changes in retail markups and economies of scale in production of more efficient appliances may have contributed to declines in prices of efficient appliances.

  11. West Virginia Consumers Have Appliance Rebate 'Trifecta'

    Broader source: Energy.gov [DOE]

    West Virginians didnt waste any time in taking advantage of the Energy Efficient Appliance Rebate Program. Only three months in, and almost half of the available $1.7 million is already spoken for.

  12. Catalog of DC Appliances and Power Systems

    E-Print Network [OSTI]

    Garbesi, Karina

    2012-01-01T23:59:59.000Z

    main conclusions about off-grid markets for DC appliances,and power systems. Mature Off-Grid Markets for DC Appliancesapplications include off-grid residential, telecom, remote

  13. 2009 CALIFORNIA RESIDENTIAL APPLIANCE SATURATION STUDY

    E-Print Network [OSTI]

    data, household energy consumption data and weather information to calculate average annual information on appliances, equipment, and general consumption patterns. Data collection was completed in early 2010. The study yielded energy consumption estimates for 27 electric and 10 natural gas

  14. Equator Appliance: ENERGY STAR Referral (EZ 3720)

    Broader source: Energy.gov [DOE]

    DOE referred Equator Appliance clothes washer EZ 3720 to EPA, brand manager of the ENERGY STAR program, for appropriate action after DOE testing revealed that the model does not meet ENERGY STAR requirements.

  15. Energy-Efficient Appliance Manufacturing Tax Credit

    Broader source: Energy.gov [DOE]

    '''''Note: This tax credit expired at the end of 2011. The American Taxpayer Relief Act of 2012 retroactively renewed this tax credit for certain appliances manufactured in 2012 and 2013. '''''

  16. MC Appliance: Proposed Penalty (2014-CE-20002)

    Broader source: Energy.gov [DOE]

    DOE alleged in a Notice of Proposed Civil Penalty that MC Appliance Corporation failed to certify residential clothes washers and residential clothes dryers as compliant with the applicable energy conservation standards.

  17. Pollutant Emission Factors from Residential Natural Gas Appliances: A Literature Review

    E-Print Network [OSTI]

    Traynor, G.W.

    2011-01-01T23:59:59.000Z

    distributions from residential natural gas appliances. CH 4ng/J) distribution from residential natural gas appliances.from Residential Natural Gas Appliances: A Literature Review

  18. Impact of Natural Gas Appliances on Pollutant Levels in California Homes

    E-Print Network [OSTI]

    Mullen, Nasim A.

    2014-01-01T23:59:59.000Z

    35): 5661-67. Impact of Natural Gas Appliances on PollutantO-. ! Natural Gas Appliances on PollutantA! =? >7! =::! Impact of Natural Gas Appliances on Pollutant

  19. State Appliance Standards (released in AEO2009)

    Reports and Publications (EIA)

    2009-01-01T23:59:59.000Z

    State appliance standards have existed for decades, starting with Californias enforcement of minimum efficiency requirements for refrigerators and several other products in 1979. In 1987, recognizing that different efficiency standards for the same products in different states could create problems for manufacturers, Congress enacted the National Appliance Energy Conservation Act (NAECA), which initially covered 12 products. The Energy Policy Act of 1992 (EPACT92), EPACT2005, and EISA2007 added additional residential and commercial products to the 12 products originally specified under NAECA.

  20. Non-intrusive appliance monitor apparatus

    DOE Patents [OSTI]

    Hart, George W. (Natick, MA); Kern, Jr., Edward C. (Lincoln, MA); Schweppe, Fred C. (Carlisle, MA)

    1989-08-15T23:59:59.000Z

    A non-intrusive monitor of energy consumption of residential appliances is described in which sensors, coupled to the power circuits entering a residence, supply analog voltage and current signals which are converted to digital format and processed to detect changes in certain residential load parameters, i.e., admittance. Cluster analysis techniques are employed to group change measurements into certain categories, and logic is applied to identify individual appliances and the energy consumed by each.

  1. Non-intrusive appliance monitor apparatus

    DOE Patents [OSTI]

    Hart, G.W.; Kern, E.C. Jr.; Schweppe, F.C.

    1989-08-15T23:59:59.000Z

    A non-intrusive monitor of energy consumption of residential appliances is described in which sensors, coupled to the power circuits entering a residence, supply analog voltage and current signals which are converted to digital format and processed to detect changes in certain residential load parameters, i.e., admittance. Cluster analysis techniques are employed to group change measurements into certain categories, and logic is applied to identify individual appliances and the energy consumed by each. 9 figs.

  2. Appliance energy efficiency in new home construction. Final report

    SciTech Connect (OSTI)

    Not Available

    1980-11-30T23:59:59.000Z

    A survey of 224 builders was conducted to which 160 builders responded. Each respondent completed between one and seven separate questionnaires. Each of the seven questionnaires were designed to collect information about one type of equipment or major appliance. These are: heat pump; heating system; air conditioner; domestic water heater; dishwasher; range; and refrigerator. Analysis of the resulting 406 questionnaires indicated that builders were primarily responsible for brand selection. These choices were made primarily without regard for the energy efficiency of the product. A similar apparent lack of consideration of energy efficiency during brand and model selection was found among home buyers and specialized subcontractors.

  3. Predicting Backdrafting and Spillage for Natural-Draft Gas Combustion Appliances: Validating VENT-II

    E-Print Network [OSTI]

    Rapp, Vi H.

    2014-01-01T23:59:59.000Z

    and Spillage for Natural-Draft Gas Combustion Appliances:and Spillage for Natural-Draft Gas Combustion Appliances: A

  4. Energy Efficient Appliance Sales Soar in North Carolina | Department...

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

    Energy Efficient Appliance Sales Soar in North Carolina Energy Efficient Appliance Sales Soar in North Carolina July 23, 2010 - 11:00am Addthis Joshua DeLung What does this mean...

  5. Reading Municipal Light Department- Residential ENERGY STAR Appliance Rebate Program

    Broader source: Energy.gov [DOE]

    Reading Municipal Light Department (RMLD) offers rebates to residential customers who install Energy Star appliances in eligible homes. The offer is limited to one rebate per appliance or a maximum...

  6. 2012 APPLIANCE EFFICIENCY REGULATIONS Edmund G. Brown Jr., Governor

    E-Print Network [OSTI]

    : Appliance Efficiency Regulations, appliance standards, refrigerators, air conditioners, space heaters, water heaters, pool heaters, pool pumps, electric spas, pool pump motors, plumbing fittings, plumbing fixtures, showerheads, spray valves, faucets, tub spout diverters, water closets, urinals, ceiling fans, ceiling fan

  7. 2014-08-19 Issuance Appliance Standards and Rulemaking Federal...

    Energy Savers [EERE]

    Issuance Appliance Standards and Rulemaking Federal Advisory Committee (ASRAC) - Central Air Conditioner Regional Standards Enforcement Working Group; Notice of Open...

  8. Low-cost Appliance State Sensing for Energy Disaggregation

    E-Print Network [OSTI]

    Wu, Tianji

    2012-01-01T23:59:59.000Z

    and Steven B. Leeb. Non-intrusive electrical load monitor-in recent years, namely non-intrusive appliance load

  9. Assessment of Literature Related to Combustion Appliance Venting

    E-Print Network [OSTI]

    1 Assessment of Literature Related to Combustion Appliance Venting Systems V.H. Rapp, B.C. Singer., Assessment of Literature Related to Combustion Appliance Venting Systems. LBNL-5798E 3 ABSTRACT In many by concerns about related impacts on the safety of naturally vented combustion appliances. Tighter housing

  10. Results of the Grid Friendly Appliance Project

    SciTech Connect (OSTI)

    Hammerstrom, Donald J.

    2010-04-14T23:59:59.000Z

    As part of the Pacific Northwest GridWise Testbed Demonstration funded by the U.S. Department of Energy and others, Pacific Northwest National Laboratory (PNNL) collaborated with Whirlpool Corporation, Invensys Controls, the Bonneville Power Administration, PacifiCorp, Portland General Electric and several smaller utilities to install 150 new Sears Kenmore clothes dryers and to retrofit 50 existing electric water heaters in homes in Washington and Oregon. Each dryer and water heater was configured to respond to the Grid Friendly appliance controller, a small electronic circuit that sensed underfrequency grid conditions and requested that electric load be shed by the appliances. These controllers and appliances were observed for over a year in residences spread over a wide geographic area. The controllers were found to respond predictably and reliably despite their geographic separation. Over 350 minor underfrequency events were observed during the experiment. This paper presents the distributions of these events by season and by time of day. Based on measured load profiles for the dryers and water heaters, the average electrical load that can be shed by each of the two appliance types was estimated by time of day and by season. Battelle Memorial Institute and PNNL have been assembling a suite of grid-responsive functions and benefits that can be achieved through the control of relatively small, distributed loads and resources on a power grid. These controllers should eventually receive acceptance for the opportunities they offer for circuit protection, regulation services, facilitation of demand responsiveness, and even power quality.

  11. Federal Water Use Indices

    Broader source: Energy.gov [DOE]

    FEMP provides water use indices as a guide for Federal agencies. Note that each is a rough estimate of water usage at different types of sites. Your site may vary considerably.

  12. Appliances & Electronics | Department of Energy

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

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

  13. Hydrophilic structures for condensation management in refrigerator appliances

    DOE Patents [OSTI]

    Kuehl, Steven John; Vonderhaar, John J; Wu, Guolian; Wu, Mianxue

    2014-10-21T23:59:59.000Z

    A refrigerator appliance that includes a freezer compartment having a freezer compartment door, and a refrigeration compartment having at least one refrigeration compartment door. The appliance further includes a mullion with an exterior surface. The mullion divides the compartments and the exterior surface directs condensation toward a transfer point. The appliance may also include a cabinet that houses the compartments and has two sides, each with an exterior surface. Further, at least one exterior surface directs condensation toward a transfer point.

  14. Measure Guideline: Combustion Safety for Natural Draft Appliances Through Appliance Zone Isolation

    SciTech Connect (OSTI)

    Fitzgerald, J.; Bohac, D.

    2014-04-01T23:59:59.000Z

    This measure guideline covers how to assess and carry out the isolation of natural draft combustion appliances from the conditioned space of low-rise residential buildings. It deals with combustion appliances located either within the living space in enclosed closets or side rooms or outside the living space in an adjacent area like an attic or garage. This subset of houses does not require comprehensive combustion safety tests and simplified prescriptive procedures can be used to address safety concerns. This allows residential energy retrofit contractors inexperienced in advanced combustion safety testing to effectively address combustion safety issues and allow energy retrofits including tightening and changes to distribution and ventilation systems to proceed.

  15. appliances current situation: Topics by E-print Network

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

    for copies of this document are available from: Public Reference Action Final Rule 66 Smart Meter Deployment Optimization for Efficient Electrical Appliance State Monitoring...

  16. appliance ownership survey: Topics by E-print Network

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

    day's events and weather. The system stores information on the user Takahashi, Shin 87 Smart Meter Deployment Optimization for Efficient Electrical Appliance State Monitoring...

  17. appliance labeling rule: Topics by E-print Network

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

    day's events and weather. The system stores information on the user Takahashi, Shin 54 Smart Meter Deployment Optimization for Efficient Electrical Appliance State Monitoring...

  18. appliances maeleudstyr og: Topics by E-print Network

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

    day's events and weather. The system stores information on the user Takahashi, Shin 129 Smart Meter Deployment Optimization for Efficient Electrical Appliance State Monitoring...

  19. appliance markettransformation program: Topics by E-print Network

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

    day's events and weather. The system stores information on the user Takahashi, Shin 42 Smart Meter Deployment Optimization for Efficient Electrical Appliance State Monitoring...

  20. ISSUANCE 2015-06-30: Appliance Standards and Rulemaking Federal...

    Energy Savers [EERE]

    Standards and Rulemaking Federal Advisory Committee: Notice of Intent to Establish the Central Air Conditioners and Heat Pumps Working Group ISSUANCE 2015-06-30: Appliance...

  1. HVAC, Water Heating, and Appliances Overview - 2015 BTO Peer...

    Office of Environmental Management (EM)

    HVAC, Water Heater and Appliance R&D - 2014 BTO Peer Review Research & Development Roadmap: Emerging HVAC Technologies This thermoelastic system provides a promising...

  2. appliance efficiency program: Topics by E-print Network

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

    of California eScholarship Repository Summary: 2002. Commercial Cooking Appliance Technology Assessment.technology costs reported in Table 1 are not included in these plots...

  3. Appliance Standards Program Schedule - CCE Overview and Update...

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

    Meeting CCE Overview and Update Presenation, dated April 13, 2011 NEMA Distribution Transformers, CCE Overview and Update presentation, dated 05242011 Appliance Standards Program...

  4. Orange and Rockland Utilities (Electric)- Residential Appliance Recycling Program

    Broader source: Energy.gov [DOE]

    Orange and Rockland Utilities provides rebates for residential customers for recycling older, inefficient refrigerators and freezers. All appliances must meet the program requirements listed on the...

  5. appliances walking sticks: Topics by E-print Network

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

    themselves and adolescents, children and adolescents have not provided any substantial data. (more) Walton, Daniel K. 2010-01-01 23 Appliance remanufacturing and life cycle...

  6. Kitchen Appliance Upgrades Improve Water Efficiency at DOD Exchange...

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

    Kitchen Appliance Upgrades Improve Water Efficiency at DOD Exchange Facilities Case study details the U.S. Department of Defense (DOD) Exchange (formerly the Army and Air Force...

  7. Webinar: Appliance Standards and Rulemaking Federal Advisory Committee

    Broader source: Energy.gov [DOE]

    DOE is conducting a public meeting and webinar regarding the Appliance Standards and Rulemaking Federal Advisory Committee (ASRAC). For more information, please visit the ASRAC page.

  8. State Energy Efficient Appliance Rebate Program (SEEARP) reports...

    Open Energy Info (EERE)

    The successes and challenges of SEEARP provide valuable lessons for designing and running a consumer-focused appliance rebate program. In addition to the SEEARP reports...

  9. BSH Home Appliances: Proposed Penalty (2014-CE-23013)

    Broader source: Energy.gov [DOE]

    DOE alleged in a Notice of Proposed Civil Penalty that BSH Home Appliances Corporation failed to certify cooking products as compliant with the applicable energy conservation standards.

  10. T-588: HP Virtual SAN Appliance Stack Overflow

    Broader source: Energy.gov [DOE]

    A vulnerability has been reported in HP StorageWorks P4000 Virtual SAN Appliance Software, which can be exploited by malicious people to compromise a vulnerable system.

  11. Microwave vs. Electric Kettle: Which Appliance Is in Hot Water...

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

    is more efficient? Tell Us Addthis Microwave or electric kettle, which appliance should win the honor of heating your water? | Graphic by Stacy Buchanan, National Renewable Energy...

  12. Buying an Appliance this Holiday Season? ENERGY STAR Products...

    Office of Environmental Management (EM)

    Freezers Room air conditioners Televisions Clothes washers Dishwashers Battery chargers Water heaters Fluorescent lamp ballasts Incandescent reflector lamps If your appliance has...

  13. PROJECT GOALS Assess the extent of hidden energy usage, through appliances

    E-Print Network [OSTI]

    % 80% 100% Electric toothbrush Ipod charger Battery charger Vido cam era charger com puterspeakers M

  14. 9th Semi-Annual Report to Congress on Appliance Energy Efficiency...

    Office of Environmental Management (EM)

    to Congress on Appliance Energy Efficiency Rulemakings - Implementation Report: Energy Conservation Standards Activities 9th Semi-Annual Report to Congress on Appliance Energy...

  15. 3rd Semi-Annual Report to Congress on Appliance Energy-Efficiency...

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

    to Congress on Appliance Energy-Efficiency Rulemakings - Implementation Report: Energy Conservation Standards Activities 3rd Semi-Annual Report to Congress on Appliance...

  16. 17TH SEMI-ANNUAL REPORT TO CONGRESS ON APPLIANCE ENERGY EFFICIENCY...

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

    TO CONGRESS ON APPLIANCE ENERGY EFFICIENCY RULEMAKINGS - IMPLEMENTATION REPORT: ENERGY CONSERVATION STANDARDS ACTIVITIES 17TH SEMI-ANNUAL REPORT TO CONGRESS ON APPLIANCE ENERGY...

  17. 16th Semi-Annual Report to Congress on Appliance Energy Efficiency...

    Office of Environmental Management (EM)

    to Congress on Appliance Energy Efficiency Rulemakings - Implementation Report: Energy Conservation Standards Activities 16th Semi-Annual Report to Congress on Appliance Energy...

  18. 5th Semi-Annual Report to Congress on Appliance Energy-Efficiency...

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

    to Congress on Appliance Energy-Efficiency Rulemakings - Implementation Report: Energy Conservation Standards Activities 5th Semi-Annual Report to Congress on Appliance...

  19. 7th Semi-Annual Report to Congress on Appliance Energy Efficiency...

    Office of Environmental Management (EM)

    to Congress on Appliance Energy Efficiency Rulemakings - Implementation Report: Energy Conservation Standards Activities 7th Semi-Annual Report to Congress on Appliance Energy...

  20. 14th Semi-Annual Report to Congress on Appliance Energy Efficiency...

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

    to Congress on Appliance Energy Efficiency Rulemakings Implementation Report: Energy Conservation Standards Activities 14th Semi-Annual Report to Congress on Appliance Energy...

  1. Predicting Backdrafting and Spillage for Natural-Draft Gas Combustion Appliances: Validating VENT-II

    E-Print Network [OSTI]

    Rapp, Vi H.

    2014-01-01T23:59:59.000Z

    for Natural-Draft Gas Combustion Appliances: Validatingfor Natural-Draft Gas Combustion Appliances: A Validation ofs ability to predict combustion gas spillage events due to

  2. Data Availability in Appliance Standards and Labeling Program Development and Evaluation

    E-Print Network [OSTI]

    Romankiewicz, John

    2014-01-01T23:59:59.000Z

    by design option) Data Availability and Use InternationallyData Availability in Appliance Standards and Labelingemployer. Data Availability in Appliance Standards and

  3. Trends in the cost of efficiency for appliances and consumer electronics

    E-Print Network [OSTI]

    Desroches, Louis-Benoit

    2013-01-01T23:59:59.000Z

    appliances and consumer electronics Louis-Benoit Desroches,appliances and consumer electronics have decreased in realappliances and consumer electronics are likely to diminish

  4. U-247: EMC Cloud Tiering Appliance Flaw Lets Remote Users Bypass...

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

    7: EMC Cloud Tiering Appliance Flaw Lets Remote Users Bypass Authentication and Gain Administrative Access U-247: EMC Cloud Tiering Appliance Flaw Lets Remote Users Bypass...

  5. Tips: Shopping for Appliances | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed off Energy.gov. Are you sure you want toworldPower 2010 1 TNews &Appliances Tips: Shopping for

  6. Tips: Smart Appliances | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed off Energy.gov. Are you sure you want toworldPower 2010 1 TNews &Appliances Tips:

  7. Appliance Standards Awareness Project | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed off Energy.gov. Are you0 ARRA NewslettersPartnership of the Americasfor a Clean EnergyAppliance

  8. Appliance Equipment Standards Northwest Impact Study

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternative FuelsSanta3 TableimpurityAppeals8I.1,,AttachmentAppliance

  9. Appliances and Commercial Equipment Standards: Guidance

    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 FuelsSanta3Appliance and Equipment Standards Fact

  10. appliance energy testing: Topics by E-print Network

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

    appliance energy testing 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 Energy Star Appliances 1 Texas...

  11. Utility Rebates for ENERGY STAR Appliances: Are They Effective?

    E-Print Network [OSTI]

    cost. The World Energy Outlook 2009, published by the International Energy Agency (IEA), highlightsUtility Rebates for ENERGY STAR Appliances: Are They Effective? Souvik Datta Sumeet Gulati CEPE;UTILITY REBATES FOR ENERGY STAR APPLIANCES: ARE THEY EFFECTIVE? SOUVIK DATTA ETH Zurich SUMEET GULATI

  12. Introducing a digital library reading appliance into a reading group

    E-Print Network [OSTI]

    Marshall, Cathy

    Introducing a digital library reading appliance into a reading group Catherine C. Marshall, Morgan will we read digital library materials? This paper describes the reading practices of an on-going reading group, and how these practices changed when we introduced XLibris, a digital library reading appliance

  13. Load Component Database of Household Appliances and Small Office Equipment

    SciTech Connect (OSTI)

    Lu, Ning; Xie, YuLong; Huang, Zhenyu; Puyleart, Francis; Yang, Steve

    2008-07-24T23:59:59.000Z

    This paper discusses the development of a load component database for household appliances and office equipment. To develop more accurate load models at both transmission and distribution level, a better understanding on the individual behaviors of home appliances and office equipment under power system voltage and frequency variations becomes more and more critical. Bonneville Power Administration (BPA) has begun a series of voltage and frequency tests against home appliances and office equipments since 2005. Since 2006, Researchers at Pacific Northwest National Laboratory has collaborated with BPA personnel and developed a load component database based on these appliance testing results to facilitate the load model validation work for the Western Electricity Coordinating Council (WECC). In this paper, the testing procedure and testing results are first presented. The load model parameters are then derived and grouped. Recommendations are given for aggregating the individual appliance models to feeder level, the models of which are used for distribution and transmission level studies.

  14. Waste water heat recovery appliance. Final report

    SciTech Connect (OSTI)

    Chapin, H.D.; Armstrong, P.R.; Chapin, F.A.W.

    1983-11-21T23:59:59.000Z

    An efficient convective waste heat recovery heat exchanger was designed and tested. The prototype appliance was designed for use in laundromats and other small commercial operations which use large amounts of hot water. Information on general characteristics of the coin-op laundry business, energy use in laundromats, energy saving resources already in use, and the potential market for energy saving devices in laundromats was collected through a literature search and interviews with local laundromat operators in Fort Collins, Colorado. A brief survey of time-use patterns in two local laundromats was conducted. The results were used, with additional information from interviews with owners, as the basis for the statistical model developed. Mathematical models for the advanced and conventional types were developed and the resulting computer program listed. Computer simulations were made using a variety of parameters; for example, different load profiles, hold-up volumes, wall resistances, and wall areas. The computer simulation results are discussed with regard to the overall conclusions. Various materials were explored for use in fabricating the appliance. Resistance to corrosion, workability, and overall suitability for laundromat installations were considered for each material.

  15. Incorporating Experience Curves in Appliance Standards Analysis

    SciTech Connect (OSTI)

    Garbesi, Karina; Chan, Peter; Greenblatt, Jeffery; Kantner, Colleen; Lekov, Alex; Meyers, Stephen; Rosenquist, Gregory; Buskirk, Robert Van; Yang, Hung-Chia; Desroches, Louis-Benoit

    2011-10-31T23:59:59.000Z

    The technical analyses in support of U.S. energy conservation standards for residential appliances and commercial equipment have typically assumed that manufacturing costs and retail prices remain constant during the projected 30-year analysis period. There is, however, considerable evidence that this assumption does not reflect real market prices. Costs and prices generally fall in relation to cumulative production, a phenomenon known as experience and modeled by a fairly robust empirical experience curve. Using price data from the Bureau of Labor Statistics, and shipment data obtained as part of the standards analysis process, we present U.S. experience curves for room air conditioners, clothes dryers, central air conditioners, furnaces, and refrigerators and freezers. These allow us to develop more representative appliance price projections than the assumption-based approach of constant prices. These experience curves were incorporated into recent energy conservation standards for these products. The impact on the national modeling can be significant, often increasing the net present value of potential standard levels in the analysis. In some cases a previously cost-negative potential standard level demonstrates a benefit when incorporating experience. These results imply that past energy conservation standards analyses may have undervalued the economic benefits of potential standard levels.

  16. Usage Demographics 2010

    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 SolStrengthening aTurbulence mayUndergraduateAbout Us Updatesproject0 NERSC Usage

  17. Usage Demographics 2011

    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 SolStrengthening aTurbulence mayUndergraduateAbout Us Updatesproject0 NERSC Usage1

  18. Usage Demographics 2011

    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 SolStrengthening aTurbulence mayUndergraduateAbout Us Updatesproject0 NERSC Usage12

  19. Using Hidden Markov Models for Iterative Non-intrusive Appliance Monitoring

    E-Print Network [OSTI]

    Southampton, University of

    Using Hidden Markov Models for Iterative Non-intrusive Appliance Monitoring Oliver Parson, Hampshire, SO17 1BJ, UK {op106,sg2,mjw,acr}@ecs.soton.ac.uk Abstract Non-intrusive appliance load monitoring appliances. 1 Introduction Non-intrusive appliance load monitoring (NIALM), or energy disaggregation, aims

  20. HYDROGEN USAGE AND STORAGE

    E-Print Network [OSTI]

    It is thought that it will be useful to inform society and people who are interested in hydrogen energy. The study below has been prepared due to this aim can be accepted as an article to exchange of information between people working on this subject. This study has been presented to reader to be utilized as a technical note. Main Energy sources coal, petroleum and natural gas are the fossil fuels we use today. They are going to be exhausted since careless usage in last decades through out the world, and human being is going to face the lack of energy sources in the near future. On the other hand as the fossil fuels pollute the environment makes the hydrogen important for an alternative energy source against to the fossil fuels. Due to the slow progress in hydrogens production, storage and converting into electrical energy experience, extensive usage of Hydrogen can not find chance for applications in wide technological practices. Hydrogen storage stands on an important point in the development of Hydrogen energy Technologies. Hydrogen is volumetrically low energy concentration fuel. Hydrogen energy, to meet the energy quantity necessary for the nowadays technologies and to be accepted economically and physically against fossil fuels, Hydrogen storage technologies have to be developed in this manner. Today the most common method in hydrogen storage may be accepted as the high pressurized composite tanks. Hydrogen is stored as liquid or gaseous phases. Liquid hydrogen phase can be stored by using composite tanks under very high pressure conditions. High technology composite material products which are durable to high pressures, which should not be affected by hydrogen embrittlement and chemical conditions.[1

  1. Nebraska Appliance Rebate Program opens | Department of Energy

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

    Appliance Rebate Program opens July 12, 2010 - 4:00pm Addthis Lindsay Gsell Nearly 500 people lined up outside of Omaha's Nebraska Furniture Mart on July 6, waiting to get ENERGY...

  2. Innovative Concept Appliances: Proposed Penalty (2010-CE-03/0415)

    Broader source: Energy.gov [DOE]

    DOE alleged in a Notice of Proposed Civil Penalty that Innovative Concept Appliances, LLC, failed to certify a variety of residential clothes washers and clothes dryers as compliant with the applicable energy conservation standards.

  3. ASKO Appliances: Proposed Penalty (2010-CE-04/0614)

    Broader source: Energy.gov [DOE]

    DOE alleged in a Notice of Proposed Civil Penalty that ASKO Appliances, Inc. failed to certify a variety of residential dishwashers and clothes dryers as compliant with the applicable energy conservation standards.

  4. Midea Washing Appliance: Proposed Penalty (2011-CE-1903)

    Broader source: Energy.gov [DOE]

    DOE alleged in a Notice of Proposed Civil Penalty that Midea Washing Appliances Mfg. Co., Ltd. failed to certify a variety of dishwashers as compliant with the applicable water and energy conservation standards.

  5. Sales Tax Holiday for Energy-Efficient Appliances

    Broader source: Energy.gov [DOE]

    The state of Missouri offers consumers a seven-day ''exemption from state sales taxes'' on certain Energy Star certified new appliances. The state sales tax holiday, known as the "Show-Me Green...

  6. Detailed Modeling and Response of Demand Response Enabled Appliances

    SciTech Connect (OSTI)

    Vyakaranam, Bharat; Fuller, Jason C.

    2014-04-14T23:59:59.000Z

    Proper modeling of end use loads is very important in order to predict their behavior, and how they interact with the power system, including voltage and temperature dependencies, power system and load control functions, and the complex interactions that occur between devices in such an interconnected system. This paper develops multi-state time variant residential appliance models with demand response enabled capabilities in the GridLAB-DTM simulation environment. These models represent not only the baseline instantaneous power demand and energy consumption, but the control systems developed by GE Appliances to enable response to demand response signals and the change in behavior of the appliance in response to the signal. These DR enabled appliances are simulated to estimate their capability to reduce peak demand and energy consumption.

  7. Modeling diffusion of electrical appliances in the residential sector

    SciTech Connect (OSTI)

    McNeil, Michael A.; Letschert, Virginie E.

    2009-11-22T23:59:59.000Z

    This paper presents a methodology for modeling residential appliance uptake as a function of root macroeconomic drivers. The analysis concentrates on four major energy end uses in the residential sector: refrigerators, washing machines, televisions and air conditioners. The model employs linear regression analysis to parameterize appliance ownership in terms of household income, urbanization and electrification rates according to a standard binary choice (logistic) function. The underlying household appliance ownership data are gathered from a variety of sources including energy consumption and more general standard of living surveys. These data span a wide range of countries, including many developing countries for which appliance ownership is currently low, but likely to grow significantly over the next decades as a result of economic development. The result is a 'global' parameterization of appliance ownership rates as a function of widely available macroeconomic variables for the four appliances studied, which provides a reliable basis for interpolation where data are not available, and forecasting of ownership rates on a global scale. The main value of this method is to form the foundation of bottom-up energy demand forecasts, project energy-related greenhouse gas emissions, and allow for the construction of detailed emissions mitigation scenarios.

  8. Electrical appliance energy consumption control methods and electrical energy consumption systems

    DOE Patents [OSTI]

    Donnelly, Matthew K. (Kennewick, WA); Chassin, David P. (Pasco, WA); Dagle, Jeffery E. (Richland, WA); Kintner-Meyer, Michael (Richland, WA); Winiarski, David W. (Kennewick, WA); Pratt, Robert G. (Kennewick, WA); Boberly-Bartis, Anne Marie (Alexandria, VA)

    2008-09-02T23:59:59.000Z

    Electrical appliance energy consumption control methods and electrical energy consumption systems are described. In one aspect, an electrical appliance energy consumption control method includes providing an electrical appliance coupled with a power distribution system, receiving electrical energy within the appliance from the power distribution system, consuming the received electrical energy using a plurality of loads of the appliance, monitoring electrical energy of the power distribution system, and adjusting an amount of consumption of the received electrical energy via one of the loads of the appliance from an initial level of consumption to an other level of consumption different than the initial level of consumption responsive to the monitoring.

  9. Electrical appliance energy consumption control methods and electrical energy consumption systems

    DOE Patents [OSTI]

    Donnelly, Matthew K. (Kennewick, WA); Chassin, David P. (Pasco, WA); Dagle, Jeffery E. (Richland, WA); Kintner-Meyer, Michael (Richland, WA); Winiarski, David W. (Kennewick, WA); Pratt, Robert G. (Kennewick, WA); Boberly-Bartis, Anne Marie (Alexandria, VA)

    2006-03-07T23:59:59.000Z

    Electrical appliance energy consumption control methods and electrical energy consumption systems are described. In one aspect, an electrical appliance energy consumption control method includes providing an electrical appliance coupled with a power distribution system, receiving electrical energy within the appliance from the power distribution system, consuming the received electrical energy using a plurality of loads of the appliance, monitoring electrical energy of the power distribution system, and adjusting an amount of consumption of the received electrical energy via one of the loads of the appliance from an initial level of consumption to an other level of consumption different than the initial level of consumption responsive to the monitoring.

  10. Predicting Backdrafting and Spillage for Natural-Draft Gas Combustion Appliances: Validating VENT-II

    E-Print Network [OSTI]

    1 Predicting Backdrafting and Spillage for Natural-Draft Gas Combustion Appliances: Validating VENT. "Predicting Backdrafting and Spillage for Natural-Draft Gas Combustion Appliances: A Validation of VENT

  11. V-021: Cisco IronPort Web / Email Security Appliance Sophos Anti...

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

    1: Cisco IronPort Web Email Security Appliance Sophos Anti-Virus Multiple Vulnerabilities V-021: Cisco IronPort Web Email Security Appliance Sophos Anti-Virus Multiple...

  12. Scholarly E-Book Use across Disciplines: Content Analysis of Usage Reports and Search Terms

    E-Print Network [OSTI]

    Rosen, Jay

    community. In response to this demand, Columbia University Libraries (CUL) #12;2 | B a k k a l b a s i & G o the aggregate results indicate that e-book use continues to increase, usage rates are not uniform across the aggregate results indicate that e-book use continues to increase, usage rates are not uniform across

  13. Impacts of China's Current Appliance Standards and Labeling Program to 2020

    E-Print Network [OSTI]

    Fridley, David; Aden, Nathaniel; Zhou, Nan; Lin, Jiang

    2007-01-01T23:59:59.000Z

    coal-fired electricity generation in China, appliance standards and labeling programs also help to mitigate air-pollution

  14. 11th Semi-Annual Report to Congress on Appliance Energy Efficiency...

    Office of Environmental Management (EM)

    Energy Conservation Standards Activities Buildings Home About Emerging Technologies Residential Buildings Commercial Buildings Appliance & Equipment Standards Building Energy Codes...

  15. Comment submitted by BSH Home Appliances Corporation regarding the Energy Star Verification Testing Program

    Broader source: Energy.gov [DOE]

    This document is a comment submitted by BSH Home Appliances Corporation regarding the Energy Star Verification Testing Program

  16. COMPRESSIVE SAMPLING FOR NON-INTRUSIVE APPLIANCE LOAD MONITORING (NALM) USING CURRENT WAVEFORMS

    E-Print Network [OSTI]

    Leus, Geert

    COMPRESSIVE SAMPLING FOR NON-INTRUSIVE APPLIANCE LOAD MONITORING (NALM) USING CURRENT WAVEFORMS advanced services like dynamic electricity pricing. The non-intrusive appliance load monitoring (NALM) [1/off status of each appliance from the compressed measurement as if the original non-compressed measurement

  17. Nonserial Dynamic Programming with Applications in Smart Home Appliances Scheduling Part I: Precedence Graph Simplification

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Nonserial Dynamic Programming with Applications in Smart Home Appliances Scheduling Part I-- In this and a companion paper a dynamic pro- gramming (DP) approach to solve a smart home appliances scheduling problem to the smart home appliances scheduling problem considered in [1], [2]. The problem seeks to determine

  18. COOKING APPLIANCE USE IN CALIFORNIA HOMES--DATA

    E-Print Network [OSTI]

    COOKING APPLIANCE USE IN CALIFORNIA HOMES--DATA COLLECTED FROM A WEB-BASED SURVEY Victoria L. Klug, Agnes B. Lobscheid, and Brett C. Singer Environmental Energy Technologies Division August 2011 LBNL-5028 FROM A WEB-BASED SURVEY Victoria L. Klug, Agnes B. Lobscheid, and Brett C. Singer Indoor Environment

  19. Smart Meter Deployment Optimization for Efficient Electrical Appliance State Monitoring

    E-Print Network [OSTI]

    Wang, Yongcai

    appliances in buildings has attracted great attentions for smart, green and sustainable living. Traditional hard, greedy algorithm, approxi- mation ratio, smart building, sensor network I. INTRODUCTION in such buildings, researches in the field of smart building and smart grid are exploring an efficient energy

  20. Monitoring Massive Appliances by a Minimal Number of Smart Meters

    E-Print Network [OSTI]

    Wang, Yongcai

    56 Monitoring Massive Appliances by a Minimal Number of Smart Meters YONGCAI WANG, XIAOHONG HAO. This article presents a framework for deploying a minimal number of smart meters to accurately track the ON of required smart meters is studied by an entropy-based approach, which qualifies the impact of meter

  1. Leveraging smart meter data to recognize home appliances Markus Weiss+#

    E-Print Network [OSTI]

    Leveraging smart meter data to recognize home appliances Markus Weiss+# , Adrian Helfenstein -- The worldwide adoption of smart meters that measure and communicate residential electricity consumption gives demand. In this paper we present an infrastructure and a set of algorithms that make use of smart meters

  2. Rebound Effect in Energy Efficient Appliance Adopting Households

    E-Print Network [OSTI]

    Glenn, Jacob Matthew

    2014-12-10T23:59:59.000Z

    This paper uses data from smart meter technology to estimate the occurrence of energy rebound, a substitution and income effect where the price-per-use of an appliance falls relative to its energy efficiency. This causes households to have more...

  3. Combustion Safety for Appliances Using Indoor Air (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2014-05-01T23:59:59.000Z

    This measure guideline covers how to assess and carry out the combustion safety procedures for appliances and heating equipment that uses indoor air for combustion in low-rise residential buildings. Only appliances installed in the living space, or in an area freely communicating with the living space, vented alone or in tandem with another appliance are considered here. A separate measure guideline addresses combustion appliances located either within the living space in enclosed closets or side rooms or outside the living space in an adjacent area like an attic or garage that use outdoor air for combustion. This document is for inspectors, auditors, and technicians working in homes where energy upgrades are being conducted whether or not air infiltration control is included in the package of measures being applied. In the indoor combustion air case, guidelines summarized here are based on language provided in several of the codes to establish minimum requirements for the space using simplified prescriptive measures. In addition, building performance testing procedures are provided by testing agencies. The codes in combination with the test procedures offer comprehensive combustion safety coverage to address safety concerns, allowing inexperienced residential energy retrofit inspectors to effectively address combustion safety issues and allow energy retrofits to proceed.

  4. ISSUANCE 2015-06-08: Solicitation of Nominations for Membership on the Appliance Standards and Rulemaking Federal Advisory Committee

    Broader source: Energy.gov [DOE]

    Solicitation of Nominations for Membership on the Appliance Standards and Rulemaking Federal Advisory Committee

  5. A System for Smart Home Control of Appliances based on Timer and Speech Interaction

    E-Print Network [OSTI]

    Haque, S M Anamul; Islam, Md Ashraful

    2010-01-01T23:59:59.000Z

    The main objective of this work is to design and construct a microcomputer based system: to control electric appliances such as light, fan, heater, washing machine, motor, TV, etc. The paper discusses two major approaches to control home appliances. The first involves controlling home appliances using timer option. The second approach is to control home appliances using voice command. Moreover, it is also possible to control appliances using Graphical User Interface. The parallel port is used to transfer data from computer to the particular device to be controlled. An interface box is designed to connect the high power loads to the parallel port. This system will play an important role for the elderly and physically disable people to control their home appliances in intuitive and flexible way. We have developed a system, which is able to control eight electric appliances properly in these three modes.

  6. Modeling of GE Appliances: Cost Benefit Study of Smart Appliances in Wholesale Energy, Frequency Regulation, and Spinning Reserve Markets

    SciTech Connect (OSTI)

    Fuller, Jason C.; Parker, Graham B.

    2012-12-31T23:59:59.000Z

    This report is the second in a series of three reports describing the potential of GEs DR-enabled appliances to provide benefits to the utility grid. The first report described the modeling methodology used to represent the GE appliances in the GridLAB-D simulation environment and the estimated potential for peak demand reduction at various deployment levels. The third report will explore the technical capability of aggregated group actions to positively impact grid stability, including frequency and voltage regulation and spinning reserves, and the impacts on distribution feeder voltage regulation, including mitigation of fluctuations caused by high penetration of photovoltaic distributed generation. In this report, a series of analytical methods were presented to estimate the potential cost benefit of smart appliances while utilizing demand response. Previous work estimated the potential technical benefit (i.e., peak reduction) of smart appliances, while this report focuses on the monetary value of that participation. The effects on wholesale energy cost and possible additional revenue available by participating in frequency regulation and spinning reserve markets were explored.

  7. Reducing the Energy Usage of Oce Applications

    E-Print Network [OSTI]

    Flinn, Jason

    Reducing the Energy Usage of Oce Applications Jason Flinn 1 , Eyal de Lara 2 , M. Satyanarayanan 1 of the energy usage of Microsoft's PowerPoint application and show that adaptive policies can reduce energy research e#11;ort, no silver bullet for reducing energy usage has yet been found. Instead, a comprehensive

  8. Design Considerations for Frequency Responsive Grid Friendly Appliances

    SciTech Connect (OSTI)

    Lu, Ning; Hammerstrom, Donald J.

    2006-05-24T23:59:59.000Z

    The paper addresses design considerations for frequency responsive Grid FriendlyTM appliances (FR-GFAs). Case studies have been done based on the frequency data collected in 2003 in Western Electricity Coordinating Council (WECC) systems. An FR-GFA can turn on/off based on frequency signals and make selective low-frequency load shedding possible at appliance level. FR-GFAs can also be treated as an spinning reserve to maintain a load-to-generation balance under power system normal operation states. The triggering frequency and duration of the FR-GFA device with different frequency setting schemes are simulated. Design considerations of the FR-GFA are then discussed based on simulation results.

  9. Progress toward Producing Demand-Response-Ready Appliances

    SciTech Connect (OSTI)

    Hammerstrom, Donald J.; Sastry, Chellury

    2009-12-01T23:59:59.000Z

    This report summarizes several historical and ongoing efforts to make small electrical demand-side devices like home appliances more responsive to the dynamic needs of electric power grids. Whereas the utility community often reserves the word demand response for infrequent 2 to 6 hour curtailments that reduce total electrical system peak load, other beneficial responses and ancillary services that may be provided by responsive electrical demand are of interest. Historically, demand responses from the demand side have been obtained by applying external, retrofitted, controlled switches to existing electrical demand. This report is directed instead toward those manufactured products, including appliances, that are able to provide demand responses as soon as they are purchased and that require few, or no, after-market modifications to make them responsive to needs of power grids. Efforts to be summarized include Open Automated Demand Response, the Association of Home Appliance Manufacturer standard CHA 1, a simple interface being developed by the U-SNAP Alliance, various emerging autonomous responses, and the recent PinBus interface that was developed at Pacific Northwest National Laboratory.

  10. An Analysis of the Price Elasticity of Demand for Household Appliances

    SciTech Connect (OSTI)

    Fujita, Kimberly; Dale, Larry; Fujita, K. Sydny

    2008-01-25T23:59:59.000Z

    This report summarizes our study of the price elasticity of demand for home appliances, including refrigerators, clothes washers, and dishwashers. In the context of increasingly stringent appliance standards, we are interested in what kind of impact the increased manufacturing costs caused by higher efficiency requirements will have on appliance sales. We begin with a review of existing economics literature describing the impact of economic variables on the sale of durable goods.We then describe the market for home appliances and changes in this market over the past 20 years, performing regression analysis on the shipments of home appliances and relevant economic variables including changes to operating cost and household income. Based on our analysis, we conclude that the demand for home appliances is price inelastic.

  11. Pacific Northwest GridWise Testbed Demonstration Projects; Part II. Grid Friendly Appliance Project

    SciTech Connect (OSTI)

    Hammerstrom, Donald J.; Brous, Jerry; Chassin, David P.; Horst, Gale R.; Kajfasz, Robert; Michie, Preston; Oliver, Terry V.; Carlon, Teresa A.; Eustis, Conrad; Jarvegren, Olof M.; Marek, W.; Munson, Ryan L.; Pratt, Robert G.

    2007-10-01T23:59:59.000Z

    Fifty residential electric water heaters and 150 new residential clothes dryers were modified to respond to signals received from underfrequency, load-shedding appliance controllers. Each controller monitored the power-grid voltage signal and requested that electrical load be shed by its appliance whenever electric power-grid frequency fell below 59.95 Hz. The controllers and their appliances were installed and monitored for more than a year at residential sites at three locations in Washington and Oregon. The controllers and their appliances responded reliably to each shallow underfrequency eventan average of one event per dayand shed their loads for the durations of these events. Appliance owners reported that the appliance responses were unnoticed and caused little or no inconvenience for the homes occupants.

  12. Load control in low voltage level of the electricity grid using CHP appliances

    E-Print Network [OSTI]

    Al Hanbali, Ahmad

    1 Load control in low voltage level of the electricity grid using µCHP appliances M.G.C. Bosman, V.g.c.bosman@utwente.nl Abstract--The introduction of µCHP (Combined Heat and Power) appliances and other means of distributed on the transformers and, thus, on the grid. In this work we study the influence of introducing µCHP appliances

  13. 6th Semi-Annual Report to Congress on Appliance Energy Efficiency...

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

    to Congress on Appliance Energy Efficiency Rulemakings - Implementation Report: Energy Conservation Standards Activities, as issued by the Assistant Secretary on February 2009....

  14. 8th Semi-Annual Report to Congress on Appliance Energy Efficiency...

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

    to Congress on Appliance Energy Efficiency Rulemakings - Implementation Report: Energy Conservation Standards Activities, as issued by the Deputy Assistant Secretary on February...

  15. 2nd Semi-Annual Report to Congress on Appliance Energy-Efficiency...

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

    to Congress on Appliance Energy-Efficiency Rulemakings - Implementation Report: Energy Conservation Standards Activities, as issued by the Assistant Secretary on February 2007....

  16. 15th Semi-Annual Report to Congress on Appliance Energy Efficiency...

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

    Congress on Appliance Energy Efficiency Rulemakings - Implementation Report: Energy Conservation Standards Activities, as issued by the Assistant Secretary on February 2014....

  17. 4th Semi-Annual Report to Congress on Appliance Energy-Efficiency...

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

    to Congress on Appliance Energy-Efficiency Rulemakings - Implementation Report: Energy Conservation Standards Activities, as issued by the Assistant Secretary on February 2008....

  18. 10th Semi-Annual Report to Congress on Appliance Energy Efficiency...

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

    to Congress on Appliance Energy Efficiency Rulemakings - Implementation Report: Energy Conservation Standards Activities, as issued by the Assistant Secretary on August 2011....

  19. 1st Semi-Annual Report to Congress on Appliance Energy-Efficiency...

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

    to Congress on Appliance Energy-Efficiency Rulemakings - Implementation Report: Energy Conservation Standards Activities, as issued by the Assistant Secretary on August 2006....

  20. Pollutant Emission Factors from Residential Natural Gas Appliances: A Literature Review

    E-Print Network [OSTI]

    Traynor, G.W.

    2011-01-01T23:59:59.000Z

    journals related to natural gas combustion and air pollutionemitted from natural gas combustion are predominately lessNatural Gas- fired Appliances," Proceedings: How Significant Are Residential Combustion

  1. Impacts of Imported Liquefied Natural Gas on Residential Appliance Components: Literature Review

    E-Print Network [OSTI]

    Lekov, Alex

    2010-01-01T23:59:59.000Z

    Fundamentals of Gas Combustion. 2001: Washington, DC. 131Components A gas appliance combustion system accomplishestransfers energy from hot combustion gases to water or air

  2. Pollutant Emission Factors from Residential Natural Gas Appliances: A Literature Review

    E-Print Network [OSTI]

    Traynor, G.W.

    2011-01-01T23:59:59.000Z

    related to natural gas combustion and air pollution wereemitted from natural gas combustion are predominately lessGas- fired Appliances," Proceedings: How Significant Are Residential Combustion

  3. Impacts of Imported Liquefied Natural Gas on Residential Appliance Components: Literature Review

    E-Print Network [OSTI]

    Lekov, Alex

    2010-01-01T23:59:59.000Z

    which, in the case of home heating appliances, could resultHeaters, Direct Heating Equipment, Mobile Home Furnaces,Heaters, Direct Heating Equipment, Mobile Home Furnaces,

  4. Million U.S. Housing Units Total...............................

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

    1960 to 1969 1970 to 1979 Table HC5.10 Home Appliances Usage Indicators by Year of Construction, 2005 Year of Construction 1980 to 1989 1990 to 1999 2000 to 2005 Home Appliances...

  5. New energy test procedures for refrigerators and other appliances

    SciTech Connect (OSTI)

    Meier, Alan; Ernebrant, Stefan; Kawamoto, Kaoru; Wihlborg, Mats

    1999-04-01T23:59:59.000Z

    Many innovations in refrigerator design rely on microprocessors, sensors, and algorithms to control automatic defrost, variable speed,and other features. Even though these features strongly influence energy consumption, the major energy test procedures presently test only a refrigerator's mechanical efficiency and ignore the ''software'' aspects. We describe a new test procedure where both ''hardware'' and ''software'' tests are fed into a dynamic simulation model. A wide range of conditions can be tested and simulated. This approach promotes international harmonization because the simulation model can also be programmed to estimate energy use for the ISO, DOE, or JIS test. The approach outlined for refrigerators can also be applied to other appliances.

  6. A State-Queueing Model of Thermostatically Controlled Appliances

    SciTech Connect (OSTI)

    Lu, Ning; Chassin, David P.

    2004-08-01T23:59:59.000Z

    This paper develops a new method to analyze the price response of aggregated loads consisting of thermostatically controlled appliances (TCAs). Assuming a perfectly diversified load before the price response, we show that TCA setpoint changes in response to the market price will result in a redistribution of TCAs in on/off states and therefore change the probabilities for a unit to reside in each state. A randomly distributed load can be partially synchronized and the aggregated diversity lost. The lost of the load diversity can then create unexpected dynamics in the aggregated load profile. Raising issues such as restoring load diversity and damping the peak loads are also addressed in the paper.

  7. GE Appliances: Order (2012-SE-1403) | 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: FinalOffers3.pdf0-45.pdf0 Budget Fossil EnergyFull Text ManagementDOEGE Appliances: Order

  8. DOE Issues Final Appliance Test Procedure Rule | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613PortsmouthBartlesvilleAbout »Department of2 DOE F 1300.2Million) GoDOEMedicalAppliance

  9. Appliance and Equipment Standards Program | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed off Energy.gov. Are you sure you want toworldPower 2010 1A PotentialAllison CaseyAnnualAppliance and

  10. Research & Development Roadmap: Next-Generation Appliances | 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 1112011 Strategic2 OPAM615_CostNSAR -Department ofEMSpent NuclearEnergy Appliances Research

  11. Save Energy on Appliances this Holiday Season | 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 ScienceandMesa del Sol HomeFacebook Twitter Principal InvestigatorsSave Energy on Appliances this

  12. Estimating Appliance and Home Electronic Energy Use | 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|6721 FederalTexas EnergyofIdaho | Department of EnergyEstimating Appliance

  13. Appliance Rebates: Frequently Asked Questions | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO Overview OCHCOSystemsProgram OverviewAdvocate -AmirAnnual ReportAppliance Rebates:

  14. Section 6 -Facilities Usage and Maintenance A. Facilities Usage and Maintenance

    E-Print Network [OSTI]

    Pantaleone, Jim

    Section 6 - Facilities Usage and Maintenance A. Facilities Usage and Maintenance 1 be held financially responsible. Financial responsibility extends to abandoned belongings, excessive is not permitted under any circumstances. Storage facilities are provided in most student housing units for storing

  15. Recently a lot of multimedia applications are emerging on portable appliances. They require both the flexibility of

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Abstract Recently a lot of multimedia applications are emerging on portable appliances and not only prototypes. Reconfigurable FPGA's are particularly suited for multimedia applications on portable appliances. In fact, tomorrow's multimedia applications will require both the flexibility of upgradeable

  16. Computer Science MAPO: Mining API Usages from

    E-Print Network [OSTI]

    Xie, Tao

    Computer Science MAPO: Mining API Usages from Open Source Repositories Tao Xie Department of Computer Science North Carolina State University, USA Jian Pei Department of Computer Science Simon Fraser University, Canada ·http://ase.csc.ncsu.edu/ #12;Computer Science Learning API Usages is Challenging ·org

  17. Cal Poly, San Luis Obispo | University Housing Update to Appliance and Electronic Device Guidelines for Residence Halls

    E-Print Network [OSTI]

    Sze, Lawrence

    Cal Poly, San Luis Obispo | University Housing Update to Appliance and Electronic Device Guidelines guidelines. This guideline notice serves as a campus update to the Appliance and Electronic Device Community appliances and personal care devices being used in the rooms. Often these items are not energy efficient

  18. " Million U.S. Housing Units"

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

    0 Home Appliances Usage Indicators by Year of Construction, 2005" " Million U.S. Housing Units" ,,"Year of Construction" ,"Housing Units (millions)" ,,"Before 1940","1940 to...

  19. The Demand Reduction Potential of Smart Appliances in U.S. Homes

    SciTech Connect (OSTI)

    Makhmalbaf, Atefe; Srivastava, Viraj; Parker, Graham B.

    2013-08-14T23:59:59.000Z

    The widespread deployment of demand respond (DR) enabled home appliances is expected to have significant reduction in the demand of electricity during peak hours. The work documented in this paper focuses on estimating the energy shift resulting from the installation of DR enabled smart appliances in the U.S. This estimation is based on analyzing the market for smart appliances and calculating the total energy demand that can potentially be shifted by DR control in appliances. Appliance operation is examined by considering their sub components individually to identify their energy consumptions and savings resulting from interrupting and shifting their load, e.g., by delaying the refrigerator defrost cycle. In addition to major residential appliances, residential pool pumps are also included in this study given their energy consumption profiles that make them favorable for DR applications. In the market analysis study documented in this paper, the U.S. Energy Information Administration's (EIA) Residential Energy Consumption Survey (RECS) and National Association of Home Builders (NAHB) databases are used to examine the expected life of an appliance, the number of appliances installed in homes constructed in 10 year intervals after 1940 and home owner income. Conclusions about the effectiveness of the smart appliances in reducing electrical demand have been drawn and a ranking of appliances in terms of their contribution to load shift is presented. E.g., it was concluded that DR enabled water heaters result in the maximum load shift; whereas, dishwashers have the highest user elasticity and hence the highest potential for load shifting through DR. This work is part of a larger effort to bring novel home energy management concepts and technologies to reduce energy consumption, reduce peak electricity demand, integrate renewables and storage technology, and change homeowner behavior to manage and consume less energy and potentially save consumer energy costs.

  20. Issues in federal preemption of state appliance energy efficiency regulations

    SciTech Connect (OSTI)

    Fang, J.M.; Balistocky, S.; Schaefler, A.M.

    1982-12-01T23:59:59.000Z

    The findings and conclusions of the analysis of the various issues involved in the federal preemption of state regulations for the DOE no standard rule on covered appliances are summarized. The covered products are: refrigerators, refrigerator-freezers, freezers, clothes dryers, kitchen ranges and ovens, water heaters (excluding heat pump water heaters), room air conditioners, central air conditioners (excluding heat pumps), and furnaces. A detailed discussion of the rationale for the positions of groups offering comment for the record is presneted. The pertinent categories of state and local regulations and programs are explained, then detailed analysis is conducted on the covered products and regulations. Issues relating to the timing of preemption of state regulations are discussed, as well as issues relating to burden of proof, contents of petitions for exemptions from preemption, criteria for evaluating petitions, and procedural and other issues. (LEW)

  1. Efficiency of appliance models on the market before and after DOE standards

    SciTech Connect (OSTI)

    Meyers, Stephen

    2004-06-15T23:59:59.000Z

    Energy efficiency standards for appliances mandate that appliance manufacturers not manufacture or import models that have a test energy efficiency below a specified level after the standard effective date. Thus, appliance standards set a floor for energy efficiency. But do they also induce more significant changes in the efficiencies that manufacturers offer after the standard becomes effective? To address this question, we undertook an examination of before-standard and after-standard efficiency of models on the market for three products: (1) Refrigerators (1990, 1993, and 2001 standards); (2) Room air conditioners (1990 and 2000 standards); and (3) Gas furnaces (1992 standard).

  2. Recent Trends in Car Usage in Advanced Economies - Slower Growth...

    Open Energy Info (EERE)

    Trends in Car Usage in Advanced Economies - Slower Growth Ahead? Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Recent Trends in Car Usage in Advanced Economies -...

  3. Style and Usage Guidelines for Written Communications

    E-Print Network [OSTI]

    Rose, Michael R.

    Style and Usage Guidelines for Written Communications Administrative and Business Services #12 Construction Commas Capitalization and the "Uniqueness Rule" Selected Style Guidelines Apostrophes Colons Fonts of Comparative Statements Indented Bullets Communicating Using Numbers ZotMail Messages #12;- 1 - Introduction

  4. Material impacts on operational energy usage

    E-Print Network [OSTI]

    Love, Andrea, S.M. Massachusetts Institute of Technology

    2011-01-01T23:59:59.000Z

    Decisions regarding materials and construction of a building are made all the time in the architectural process, but thought is not always given to how those choices may affect the buildings ultimate energy usage and the ...

  5. Mitigating Carbon Emissions: the Potential of Improving Efficiency of Household Appliances in China

    E-Print Network [OSTI]

    Lin, Jiang

    2006-01-01T23:59:59.000Z

    in the next 20-30 years as China builds large quantity ofof power generation in China from 0.230 in 2003 to 0.164 kgHousehold Appliances in China Jiang Lin Environmental Energy

  6. Impacts of China's Current Appliance Standards and Labeling Program to 2020

    E-Print Network [OSTI]

    Fridley, David; Aden, Nathaniel; Zhou, Nan; Lin, Jiang

    2007-01-01T23:59:59.000Z

    58: Historical and Forecast China Average Household Size,P ROGRAM Impacts of Chinas Current Appliance Standards and68 Implications for Chinas Current Energy Policy and

  7. Impacts of Imported Liquefied Natural Gas on Residential Appliance Components: Literature Review

    SciTech Connect (OSTI)

    Lekov, Alex; Sturges, Andy; Wong-Parodi, Gabrielle

    2009-12-09T23:59:59.000Z

    An increasing share of natural gas supplies distributed to residential appliances in the U.S. may come from liquefied natural gas (LNG) imports. The imported gas will be of a higher Wobbe number than domestic gas, and there is concern that it could produce more pollutant emissions at the point of use. This report will review recently undertaken studies, some of which have observed substantial effects on various appliances when operated on different mixtures of imported LNG. While we will summarize findings of major studies, we will not try to characterize broad effects of LNG, but describe how different components of the appliance itself will be affected by imported LNG. This paper considers how the operation of each major component of the gas appliances may be impacted by a switch to LNG, and how this local impact may affect overall safety, performance and pollutant emissions.

  8. 0 + 0 = 1 : the appliance model of selling software bundled with hardware

    E-Print Network [OSTI]

    Hein, Bettina

    2007-01-01T23:59:59.000Z

    The business model of selling software bundled with hardware is called the appliance model. As hardware becomes less and less expensive and open source software is being offered for free, the traditional business model of ...

  9. Estimation of the Energy and Capacity Savings in Texas from Appliance Efficiency Standards

    E-Print Network [OSTI]

    Verdict, M.

    1986-01-01T23:59:59.000Z

    The purpose of this presentation will be to assess the technical potential for energy and capacity savings in Texas by the year 2006 by the statewide adoption of minimum appliance efficiency standards equivalent to those recently adopted...

  10. Max Tech and Beyond: Maximizing Appliance and Equipment Efficiency by Design

    E-Print Network [OSTI]

    Desroches, Louis-Benoit

    2012-01-01T23:59:59.000Z

    heat pump applications for which energy usage data are available in detail. Commercial and industrial

  11. Evaluation of advanced technologies for residential appliances and residential and commercial lighting

    SciTech Connect (OSTI)

    Turiel, I.; Atkinson, B.; Boghosian, S.; Chan, P.; Jennings, J.; Lutz, J.; McMahon, J.; Rosenquist, G.

    1995-01-01T23:59:59.000Z

    Section 127 of the Energy Policy Act requires that the Department of Energy (DOE) prepare a report to Congress on the potential for the development and commercialization of appliances that substantially exceed the present federal or state efficiency standards. Candidate high-efficiency appliances must meet several criteria including: the potential exists for substantial improvement (beyond the minimum established in law) of the appliance`s energy efficiency; electric, water, or gas utilities are prepared to support and promote the commercialization of such appliances; manufacturers are unlikely to undertake development and commercialization of such appliances on their own, or development and production would be substantially accelerated by support to manufacturers. This report describes options to improve the efficiency of residential appliances, including water heaters, clothes washers and dryers, refrigerator/freezers, dishwashers, space heating and cooling devices, as well as residential and commercial lighting products. Data from this report (particularly Appendix 1)were used to prepare the report to Congress mentioned previously. For the residential sector, national energy savings are calculated using the LBL Residential Energy Model. This model projects the number of households and appliance saturations over time. First, end-use consumption is calculated for a base case where models that only meet the standard replace existing models as these reach the end of their lifetime. Second, models with efficiencies equal to the technology under consideration replace existing models that reach the end of their lifetime. For the commercial sector, the COMMEND model was utilized to project national energy savings from new technologies. In this report, energy savings are shown for the period 1988 to 2015.

  12. Use of Residential Smart Appliances for Peak Load Shifting & Spinning Reserves: Cost Benefit Analysis

    SciTech Connect (OSTI)

    Sastry, Chellury; Pratt, Robert G.

    2010-12-01T23:59:59.000Z

    Abstract In this paper, we present the results of an analytical cost-benefit study of residential smart appliances in support of a joint stakeholder petition to the EPA and DOE to provide a 5% credit to meet ENERGY STAR eligibility criteria for products that meet the definition of a smart appliance. The underlying hypothesis is that smart appliances can play a critical role in addressing some of the challenges associated with increased electricity demand, and increased penetration of renewable sources of power. Our analytical model utilizes current annual appliance electricity consumption data, and estimates what the wholesale grid operating cost savings would be if some percentage of appliance loads were shifted away from peak hours to run during off-peak hours, and appliance loads serve power system balancing needs such as spinning reserves that would otherwise have to be provided by generators. Historical wholesale market clearing prices (location marginal and spinning reserve) from major wholesale power markets in the United States are used to estimate savings. The savings are then compared with the five percent credit, to determine if the savings in grid operating costs (benefits) are at least as high as the credit (cost) if not higher.

  13. Comment submitted by the Association of Home Appliance Manufacturers (AHAM) regarding the Energy Star Verification Testing Program

    Broader source: Energy.gov [DOE]

    This document is a comment submitted by the Association of Home Appliance Manufacturers (AHAM) regarding the Energy Star Verification Testing Program

  14. What can we learn from high-frequency appliance-level energy metering? Results from a field experiment

    E-Print Network [OSTI]

    Chen, VL; Delmas, MA; Kaiser, WJ; Locke, SL

    2015-01-01T23:59:59.000Z

    Newborough, M. , 2003. Dynamic energy-consumption indicatorsbehaviour and design. Energy Build. 35 (8), Please cite thisfrequency appliance-level energy metering? Results from a ?

  15. USAGE-BASED PRICING DIFFERENTIATION FOR

    E-Print Network [OSTI]

    Huang, Jianwei

    cost, complex pricing schemes are not "customer- friendly" and discourage customers from usingCHAPTER 1 USAGE-BASED PRICING DIFFERENTIATION FOR COMMUNICATION NETWORKS: INCOMPLETE INFORMATION AND LIMITED PRICING CHOICES Shuqin Li, Ph.D.1 and Jianwei Huang, Ph.D.2 1 Research and Innovation, Alcatel

  16. VEHICLE USAGE AGREEMENT DEPARTMENT OF BIOLOGICAL SCIENCE

    E-Print Network [OSTI]

    Ronquist, Fredrik

    VEHICLE USAGE AGREEMENT DEPARTMENT OF BIOLOGICAL SCIENCE All drivers of vehicles must certify to the following: 1. I certify that I have a valid driver's license appropriate for the vehicle type and will abide belts. 2. I have read and understand the vehicle operating policies and procedures as defined

  17. Balanced Codon Usage Optimizes Eukaryotic Translational Efficiency

    E-Print Network [OSTI]

    Zhang, Jianzhi

    Balanced Codon Usage Optimizes Eukaryotic Translational Efficiency Wenfeng Qian1 , Jian-Rong Yang1, Guangzhou, China Abstract Cellular efficiency in protein translation is an important fitness determinant and that translational efficiency is maximized by the exclusive use of rapidly translated codons. Here we estimate

  18. University Town Management Office Town Green Usage

    E-Print Network [OSTI]

    Chaudhuri, Sanjay

    University Town Management Office Town Green Usage Background The UTown Management Office (UTMO the sustainability of the Green as the Office of Estate & Development (OED) has highlighted that the landscape consultant has advised that it would require about one year period for the soil to settle to its final level

  19. Report on Activities And Usage Statistics of

    E-Print Network [OSTI]

    Patzek, Tadeusz W.

    of the Mobile Learning Portal, at mobilelearningportal.org. This Web site is a #12;Learning Technology CenterReport on Activities And Usage Statistics of Learning Technology Center Services and Facilities 2009-2010 #12;Learning Technology Center Review 2009-2010 December 2010 2 Report on Activities

  20. Material World: Forecasting Household Appliance Ownership in a Growing Global Economy

    SciTech Connect (OSTI)

    Letschert, Virginie; McNeil, Michael A.

    2009-03-23T23:59:59.000Z

    Over the past years the Lawrence Berkeley National Laboratory (LBNL) has developed an econometric model that predicts appliance ownership at the household level based on macroeconomic variables such as household income (corrected for purchase power parity), electrification, urbanization and climate variables. Hundreds of data points from around the world were collected in order to understand trends in acquisition of new appliances by households, especially in developing countries. The appliances covered by this model are refrigerators, lighting fixtures, air conditioners, washing machines and televisions. The approach followed allows the modeler to construct a bottom-up analysis based at the end use and the household level. It captures the appliance uptake and the saturation effect which will affect the energy demand growth in the residential sector. With this approach, the modeler can also account for stock changes in technology and efficiency as a function of time. This serves two important functions with regard to evaluation of the impact of energy efficiency policies. First, it provides insight into which end uses will be responsible for the largest share of demand growth, and therefore should be policy priorities. Second, it provides a characterization of the rate at which policies affecting new equipment penetrate the appliance stock. Over the past 3 years, this method has been used to support the development of energy demand forecasts at the country, region or global level.

  1. Recovery and separation of high-value plastics from discarded household appliances

    SciTech Connect (OSTI)

    Karvelas, D.E.; Jody, B.J.; Poykala, J.A. Jr.; Daniels, E.J. [Argonne National Lab., IL (United States). Energy Systems Div.; Arman, B. [Argonne National Lab., IL (United States). Energy Systems Div.]|[Praxair, Inc., Tarrytown, NY (United States)

    1996-03-01T23:59:59.000Z

    Argonne National Laboratory is conducting research to develop a cost- effective and environmentally acceptable process for the separation of high-value plastics from discarded household appliances. The process under development has separated individual high purity (greater than 99.5%) acrylonitrile-butadiene-styrene (ABS) and high- impact polystyrene (HIPS) from commingled plastics generated by appliance-shredding and metal-recovery operations. The process consists of size-reduction steps for the commingled plastics, followed by a series of gravity-separation techniques to separate plastic materials of different densities. Individual plastics of similar densities, such as ABS and HIPS, are further separated by using a chemical solution. By controlling the surface tension, the density, and the temperature of the chemical solution we are able to selectively float/separate plastics that have different surface energies. This separation technique has proven to be highly effective in recovering high-purity plastics materials from discarded household appliances. A conceptual design of a continuous process to recover high-value plastics from discarded appliances is also discussed. In addition to plastics separation research, Argonne National Laboratory is conducting research to develop cost-effective techniques for improving the mechanical properties of plastics recovered from appliances.

  2. Supervised start system for microprocessor based appliance controls

    SciTech Connect (OSTI)

    Fowler, D.L.; Kadwell, B.J.

    1986-12-09T23:59:59.000Z

    A supervisory start system is described for an appliance control that includes a microprocessor, manually actuatable keyboard switch means, and first and second relay means; the microprocessor including first, second and third input means and first, second and third output means and being conditioned to generate control signals at the output means upon receipt of electrical signals at the input means; the supervisory start circuit comprising, in combination, first, second and third transistors each having a base, an emitter and a collector. The first transistor means controls energization of the first relay means and is controlled by the manually actuatable switch means; the manually actuatable switch means being electrically connected to the first output means of the microprocessor and the base of the first transistor; the base of the second transistor being connected to the second output means of the microprocessor, the emitter of the second transistor being connected to a source of potential, the collector of the second transistor being connected to the emitter of the first transistor; the collector of the first transistor being connected to the first relay means; the second transistor being operable to connect the emitter of the first transistor to the source of potential when a signal from the second output means of the microprocessor is applied to the base of the second transistor; the microprocessor being conditioned to emit a signal at the second output means upon receipt of a signal at the first input means; means for latching the first transistor in a conducting condition upon being energized; and means for applying an electrical signal to the second input means when the first transistor means is in a conducting condition.

  3. Abstract-In this paper we evaluate the energy and economic consequences of appliance remanufacturing relative to purchasing

    E-Print Network [OSTI]

    Gutowski, Timothy

    Abstract- In this paper we evaluate the energy and economic consequences of appliance that economic incentives can be an influential driver for consumers to remanufacture and re-use old appliances washer. There is considerable amount of literature regarding policy, economics, and efficiency impacts

  4. Building Storage Appliances for the Grid and Beyond John Bent, Andrea Arpaci-Dusseau, Remzi Arpaci-Dusseau, Miron Livny

    E-Print Network [OSTI]

    Wisconsin at Madison, University of

    Building Storage Appliances for the Grid and Beyond John Bent, Andrea Arpaci-Dusseau, Remzi Arpaci,dusseau,remzi,miron@cs.wisc.edu Abstract Current storage appliances have been traditionally de- signed to meet either the storage demands challenges to storage ap- pliances that would be used on the grid. NeST is a user-level software-only storage

  5. Building Storage Appliances for the Grid and Beyond John Bent, Andrea ArpaciDusseau, Remzi ArpaciDusseau, Miron Livny

    E-Print Network [OSTI]

    Wisconsin at Madison, University of

    Building Storage Appliances for the Grid and Beyond John Bent, Andrea ArpaciDusseau, Remzi Arpaci,dusseau,remzi,miron@cs.wisc.edu Abstract Current storage appliances have been traditionally de signed to meet either the storage demands challenges to storage ap pliances that would be used on the grid. NeST is a userlevel softwareonly storage

  6. Mitigating Carbon Emissions: the Potential of Improving Efficiencyof Household Appliances in China

    SciTech Connect (OSTI)

    Lin, Jiang

    2006-07-10T23:59:59.000Z

    China is already the second's largest energy consumer in the world after the United States, and its demand for energy is expected to continue to grow rapidly in the foreseeable future, due to its fast economic growth and its low level of energy use per capita. From 2001 to 2005, the growth rate of energy consumption in China has exceeded the growth rate of its economy (NBS, 2006), raising serious concerns about the consequences of such energy use on local environment and global climate. It is widely expected that China is likely to overtake the US in energy consumption and greenhouse gas (GHG) emissions during the first half of the 21st century. Therefore, there is considerable interest in the international community in searching for options that may help China slow down its growth in energy consumption and GHG emissions through improving energy efficiency and adopting more environmentally friendly fuel supplies such as renewable energy. This study examines the energy saving potential of three major residential energy end uses: household refrigeration, air-conditioning, and water heating. China is already the largest consumer market in the world for household appliances, and increasingly the global production base for consumer appliances. Sales of household refrigerators, room air-conditioners, and water heaters are growing rapidly due to rising incomes and booming housing market. At the same time, the energy use of Chinese appliances is relatively inefficient compared to similar products in the developed economies. Therefore, the potential for energy savings through improving appliance efficiency is substantial. This study focuses particularly on the impact of more stringent energy efficiency standards for household appliances, given that such policies are found to be very effective in improving the efficiency of household appliances, and are well established both in China and around world (CLASP, 2006).

  7. Modeling of GE Appliances in GridLAB-D: Peak Demand Reduction

    SciTech Connect (OSTI)

    Fuller, Jason C.; Vyakaranam, Bharat GNVSR; Prakash Kumar, Nirupama; Leistritz, Sean M.; Parker, Graham B.

    2012-04-29T23:59:59.000Z

    The widespread adoption of demand response enabled appliances and thermostats can result in significant reduction to peak electrical demand and provide potential grid stabilization benefits. GE has developed a line of appliances that will have the capability of offering several levels of demand reduction actions based on information from the utility grid, often in the form of price. However due to a number of factors, including the number of demand response enabled appliances available at any given time, the reduction of diversity factor due to the synchronizing control signal, and the percentage of consumers who may override the utility signal, it can be difficult to predict the aggregate response of a large number of residences. The effects of these behaviors can be modeled and simulated in open-source software, GridLAB-D, including evaluation of appliance controls, improvement to current algorithms, and development of aggregate control methodologies. This report is the first in a series of three reports describing the potential of GE's demand response enabled appliances to provide benefits to the utility grid. The first report will describe the modeling methodology used to represent the GE appliances in the GridLAB-D simulation environment and the estimated potential for peak demand reduction at various deployment levels. The second and third reports will explore the potential of aggregated group actions to positively impact grid stability, including frequency and voltage regulation and spinning reserves, and the impacts on distribution feeder voltage regulation, including mitigation of fluctuations caused by high penetration of photovoltaic distributed generation and the effects on volt-var control schemes.

  8. Monitoring the usage of a computer system

    SciTech Connect (OSTI)

    Bailey, D.J.

    1987-11-01T23:59:59.000Z

    Controlling the usage of computer systems particularly those operated for the federal government, is an important topic today. Audit requirements have grown to the point where they can be a significant burden to the proprietors of the system. The paper briefly mentions several proposals for responding to increased audit requirements and for monitoring a system to detect unauthorized activity. A technique is proposed for situations where the proscribed or the intended activity can be characterized in terms of program or system performance parameters. The design of a usage monitoring system is outlined. The design is based on enhancing the audit data provided by the monitored system, capturing the audit data in a separate system to protect it from user access, and implementing one of the audit trail analysis systems currently under development.

  9. Reducing Energy Usage in Extractive Distillation

    E-Print Network [OSTI]

    Saxena, A. C.; Bhandari, V. A.

    , .. ~ REDUCING ENERGY USAGE IN,EXTRACTIVE DISTILLATION A. C. Saxena V. A. Bhandari Polysar Limited Sarnia, Ontario, Canada Abstract Butadiene 1:3 is separated from other C. hydrocarbons by extractive distillation in a sieve plate tower.... To improve the energy efficiency, butadiene recovery and productivity of the extractive distillation process, many process changes have been made. Their rationale, the methodology used to implement the various changes, and how they affected the process...

  10. Predicting energy usage in a supermarket

    E-Print Network [OSTI]

    Schrock, Derek Wayne

    1989-01-01T23:59:59.000Z

    PREDICTING ENERGY USAGE IN A SUPERMARKET A Thesis by DEREK WAYNE SCHROCK Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE December 1989 Major...), which consuine 24. 8% of the energy used by all commercial buildings [1]. This thesis reports on work intended to identify conservation opportunities in the mercantile services category by focusing on operational and maintenance problems. A major...

  11. Cognitive Structures Underlying Gendered Language Usage in Germany: Narration and Linguistic Fieldwork

    E-Print Network [OSTI]

    Kolar, Meredith

    2011-01-01T23:59:59.000Z

    Gendered Language Usage in Germany: Narration and LinguisticGendered Language Usage in Germany: Narration and LinguisticGendered Language Usage in Germany: Narration and Linguistic

  12. Similarity measure to identify users' profiles in web usage mining

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Similarity measure to identify users' profiles in web usage mining Firas Abou Latif -- Nicolas information. It makes the website browsing process even harder. This paper addresses the web usage mining problmatique r- currente. Le Web Usage Mining, qui tente de rsoudre ce problme, propose des techniques

  13. Electrical Appliances Students may use clocks, sound equipment, computers, electric razors, hair dryers,

    E-Print Network [OSTI]

    Aalberts, Daniel P.

    with a heating coil *Torchiere type lamps with a halogen bulb, and other lamps with a halogen bulb greater than there is specific UL approval for a higher wattage. Violators of any of the above policies will be charged $50, Prohibited Appliances, and Halogen Torchiere Lamps 1st offense: $50.00 fine and the student will be called

  14. Tracking States of Massive Electrical Appliances by Lightweight Metering and Sequence Decoding

    E-Print Network [OSTI]

    Wang, Yongcai

    to track the on/off states of N appliances by deploying only m smart meters on the power load tree, where m demonstrate some interesting structures of the problem. Keywords Energy auditing, Smart meter, Deployment smart meter networks, and thus suffer from the high deploy- ment, maintenance and data collection costs

  15. T-531: The WebVPN implementation on Cisco Adaptive Security Appliances (ASA) 5500

    Broader source: Energy.gov [DOE]

    The WebVPN implementation on Cisco Adaptive Security Appliances (ASA) 5500 series devices with software before 8.2(3) permits the viewing of CIFS shares even when CIFS file browsing has been disabled, which allows remote authenticated users to bypass intended access restrictions via CIFS requests, aka Bug ID CSCsz80777.

  16. @scale: Insights from a Large, Long-Lived Appliance Stephen Dawson-Haggerty

    E-Print Network [OSTI]

    Culler, David E.

    Design, Measurement, Performance Keywords Energy, Audit, Building, Power, Wireless, Sensor Network 1@scale: Insights from a Large, Long-Lived Appliance Energy WSN Stephen Dawson-Haggerty , Steven Lanzisera , Jay Taneja , Richard Brown , and David Culler Computer Science Division Environmental Energy

  17. Design Techniques for Sensor Appliances: Foundations and Light Compass Case Study

    E-Print Network [OSTI]

    Potkonjak, Miodrag

    sensors of the appliance, and (2) error minimization-based sensor data interpretation middleware. We have University of California, Los Angeles jwong@cs.ucla.edu Seapahn Megerian University of California, Los Angeles seapahn@cs.ucla.edu Miodrag Potkonjak University of California, Los Angeles miodrag

  18. Energy-Harvesting Thermoelectric Sensing for Unobtrusive Water and Appliance Metering

    E-Print Network [OSTI]

    Dutta, Prabal

    Energy-Harvesting Thermoelectric Sensing for Unobtrusive Water and Appliance Metering Bradford that meters using the same thermoelectric generator with which it powers itself. In short, the rate at which be harvested with a thermoelectric generator (TEG) to power a sensor node. TEGs utilize the Seebeck effect

  19. Energy and CO2 efficient scheduling of smart appliances in active houses equipped with batteries

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Energy and CO2 efficient scheduling of smart appliances in active houses equipped with batteries the electricity bill and the CO2 emissions. Mathematically, the scheduling problem is posed as a multi that the new formulation can decrease both the CO2 emissions and the electricity bill. Furthermore, a survey

  20. A Texas Study of the Effects of the National Appliance Energy Conservation Act of 1987

    E-Print Network [OSTI]

    Bachmeier, R.

    1987-01-01T23:59:59.000Z

    on the amount of energy which can be consumed by major new household appliances. The efficiency standards mandated by the NAECA will be phased in between 1988 and 1993 and will focus on space heating equipment, air conditioners, water heaters, refrigerators...

  1. Impact of domestic woodburning appliances on indoor air quality Corinne Mandin1

    E-Print Network [OSTI]

    Boyer, Edmond

    air pollution study (CITEPA), France * Corresponding email: Eva.Leoz@ineris.fr SUMMARY Data pollutants in ambient air. Consequently our study aims at describing both emission factors and inerisImpact of domestic woodburning appliances on indoor air quality Corinne Mandin1 , Jacques Ribron2

  2. Measure Guideline: Combustion Safety for Natural Draft Appliances Using Indoor Air

    SciTech Connect (OSTI)

    Brand, L.

    2014-04-01T23:59:59.000Z

    This measure guideline covers how to assess and carry out the combustion safety procedures for appliances and heating equipment that uses indoor air for combustion in low-rise residential buildings. Only appliances installed in the living space, or in an area freely communicating with the living space, vented alone or in tandem with another appliance are considered here. A separate measure guideline addresses combustion appliances located either within the living space in enclosed closets or side rooms or outside the living space in an adjacent area like an attic or garage that use outdoor air for combustion. This document is for inspectors, auditors, and technicians working in homes where energy upgrades are being conducted whether or not air infiltration control is included in the package of measures being applied. In the indoor combustion air case, guidelines summarized here are based on language provided in several of the codes to establish minimum requirements for the space using simplified prescriptive measures. In addition, building performance testing procedures are provided by testing agencies. The codes in combination with the test procedures offer comprehensive combustion safety coverage to address safety concerns, allowing inexperienced residential energy retrofit inspectors to effectively address combustion safety issues and allow energy retrofits to proceed.

  3. An Appliance-driven Approach to Detection of Corrupted Load Curve Data

    E-Print Network [OSTI]

    Pei, Jian

    An Appliance-driven Approach to Detection of Corrupted Load Curve Data Guoming Tang1,3 , Kui Wu1@sfu.ca, jiuyang_tang@nudt.edu.cn, jshlei@shiep.edu.cn ABSTRACT Load curve data in power systems refers to users discov- ered in the data. Load curve data, however, usually suffers from corruptions caused by various

  4. A Communication-Based Appliance Scheduling Scheme for Consumer-Premise Energy Management Systems

    E-Print Network [OSTI]

    Snyder, Larry

    of electricity prices and distributed wind power uncertainty. We model the evolution of the protocol as a two is an energy management controller that incorporates prices and user preferences to providA Communication-Based Appliance Scheduling Scheme for Consumer-Premise Energy Management Systems

  5. 2014-06-06 Appliance Standards and Rulemaking Federal Advisory Committee; Preliminary Agenda

    Broader source: Energy.gov [DOE]

    This document is a preliminary agenda for the Appliance Standards and Rulemaking Federal Advisory Committee open meeting being held on June 6, 2014 from 1:00 p.m.-5:00 p.m. (EST) at the U.S. Department of Energy, Forrestal Building, Room 8E-089, 1000 Independence Avenue SW., Washington, DC 20585.

  6. Experience from Building Industry Strength Agent-Based Appliances Leon Sterling

    E-Print Network [OSTI]

    Taveter, Kuldar

    Experience from Building Industry Strength Agent-Based Appliances Leon Sterling The University of Melbourne Department of Computer Science and Software Engineering Victoria, 3010, Australia leon@cs.mu.oz.au Kuldar Taveter The University of Melbourne Department of Computer Science and Software Engineering

  7. Standby and off-mode power demand of new appliances in the Anbal de Almeida

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Standby and off-mode power demand of new appliances in the market Anbal de Almeida ISR regulation to limit the standby and off-mode power consumption of non-networked household electronic involved in the project. Standby and off-mode values by product categories are analyzed and compared

  8. Optimization of the Energy Usage at CERN

    E-Print Network [OSTI]

    Burckhart, H J; Caspers, F; Dor, V; Gatignon, L; Martel, C; Nonis, M; Tommasini, D

    2013-01-01T23:59:59.000Z

    Some of the efforts of CERN to optimize its energy usage are presented. Work is proceeding in several areas: campus and infrastructure, accelerators and beam lines, as well as R&D for future accelerators. The existing building stock is being renovated and new buildings apply an integrated energy concept. The energy efficiency of the accelerators and beam lines can be further enhanced by powering more equipment dynamically only during the time it is really needed. For designing new accelerators novel approaches are being investigated to re-use energy which in todays installations gets dumped thermally.

  9. An assessment of worldwide supercomputer usage

    SciTech Connect (OSTI)

    Wasserman, H.J.; Simmons, M.L.; Hayes, A.H.

    1995-01-01T23:59:59.000Z

    This report provides a comparative study of advanced supercomputing usage in Japan and the United States as of Spring 1994. It is based on the findings of a group of US scientists whose careers have centered on programming, evaluating, and designing high-performance supercomputers for over ten years. The report is a follow-on to an assessment of supercomputing technology in Europe and Japan that was published in 1993. Whereas the previous study focused on supercomputer manufacturing capabilities, the primary focus of the current work was to compare where and how supercomputers are used. Research for this report was conducted through both literature studies and field research in Japan.

  10. How Usage is Charged at NERSC

    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) EnvironmentalGyroSolé(tm) HarmonicbetandEnergy 2010 ABringof Energyusage is

  11. Gene expression level influences amino acid usage, but not codon usage, in the tsetse fly

    E-Print Network [OSTI]

    Herbeck, Joshua

    and configuration of amino acid differences between Wigglesworthia and Escherichia coli were compared to test and Evolution, Marine Biological Laboratory, 7 MBL Street, Woods Hole, MA 02543, USA 2 Department of Biological to distinct patterns of genome evolu- tion. Synonymous codon usage in the free-living bacteria Escherichia

  12. Mitigating Carbon Emissions: the Potential of Improving Efficiency of Household Appliances in China

    E-Print Network [OSTI]

    Lin, Jiang

    2006-01-01T23:59:59.000Z

    3 natural gas per unit in south China, with an average usagebaseline usage is estimated to be 182 m 3 of natural gas per

  13. Impacts of China's Current Appliance Standards and Labeling Program to 2020

    E-Print Network [OSTI]

    Fridley, David; Aden, Nathaniel; Zhou, Nan; Lin, Jiang

    2007-01-01T23:59:59.000Z

    3 natural gas per unit in south China, with an average usagebaseline usage is estimated to be 182 m 3 of natural gas per

  14. July 11 Public Meeting: Physical Characterization of Grid-Connected Commercial And Residential Building End-Use Equipment And Appliances

    Broader source: Energy.gov [DOE]

    These documents contain the three slide decks presented at the public meeting on the Physical Characterization of Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances, held on July 11, 2014 in Washington, DC.

  15. Use of Residential Smart Appliances for Peak-Load Shifting and Spinning Reserves Cost/Benefit Analysis

    SciTech Connect (OSTI)

    Sastry, Chellury; Pratt, Robert G.; Srivastava, Viraj; Li, Shun

    2010-12-01T23:59:59.000Z

    In this report, we present the results of an analytical cost/benefit study of residential smart appliances from a utility/grid perspective in support of a joint stakeholder petition to the ENERGY STAR program within the Environmental Protection Agency (EPA) and Department of Energy (DOE). The goal of the petition is in part to provide appliance manufacturers incentives to hasten the production of smart appliances. The underlying hypothesis is that smart appliances can play a critical role in addressing some of the societal challenges, such as anthropogenic global warming, associated with increased electricity demand, and facilitate increased penetration of renewable sources of power. The appliances we consider include refrigerator/freezers, clothes washers, clothes dryers, room air-conditioners, and dishwashers. The petition requests the recognition that providing an appliance with smart grid capability, i.e., products that meet the definition of a smart appliance, is at least equivalent to a corresponding five percent in operational machine efficiencies. It is then expected that given sufficient incentives and value propositions, and suitable automation capabilities built into smart appliances, residential consumers will be adopting these smart appliances and will be willing participants in addressing the aforementioned societal challenges by more effectively managing their home electricity consumption. The analytical model we utilize in our cost/benefit analysis consists of a set of user-definable assumptions such as the definition of on-peak (hours of day, days of week, months of year), the expected percentage of normal consumer electricity consumption (also referred to as appliance loads) that can shifted from peak hours to off-peak hours, the average power rating of each appliance, etc. Based on these assumptions, we then formulate what the wholesale grid operating-cost savings, or benefits, would be if the smart capabilities of appliances were invoked, and some percentage of appliance loads were shifted away from peak hours to run during off-peak hours, and appliance loads served power-system balancing needs such as spinning reserves that would otherwise have to be provided by generators. The rationale is that appliance loads can be curtailed for about ten minutes or less in response to a grid contingency without any diminution in the quality of service to the consumer. We then estimate the wholesale grid operating-cost savings based on historical wholesale-market clearing prices (location marginal and spinning reserve) from major wholesale power markets in the United States. The savings derived from the smart grid capabilities of an appliance are then compared to the savings derived from a five percent increase in traditional operational machine efficiencies, referred to as cost in this report, to determine whether the savings in grid operating costs (benefits) are at least as high as or higher than the operational machine efficiency credit (cost).

  16. adjunctive antimetabolite usage: Topics by E-print Network

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

    Libraries (CUL). While Rosen, Jay 397 Mining Usage Data and Development Artifacts Olga Baysal, Reid Holmes, and Michael W. Godfrey Computer Technologies and Information...

  17. anthelmintic usage perspectives: Topics by E-print Network

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

    Libraries (CUL). While Rosen, Jay 380 Mining Usage Data and Development Artifacts Olga Baysal, Reid Holmes, and Michael W. Godfrey Computer Technologies and Information...

  18. Energy usage in oil and gas extraction

    SciTech Connect (OSTI)

    Honeycutt, B.D.

    1991-05-01T23:59:59.000Z

    This report was prepared in partial fulfillment of Subcontract No. C90-103207 by Baxter D. Honeycutt, P.E., Richardson Texas, for the Idaho National Engineering Laboratory (INEL) and the US DOE, INEL requirements, for the requested report were outlined by letter dated September 4, 1990, included the following: process flow diagrams and descriptive discussions of technical operations; mass and energy balances; a summary of energy-saving opportunities with the cross-cutting technologies emphasized; trends of oil and gas production versus energy expended to achieve new production; conclusions and recommendations for future research. The National Energy Account (NEA) data on energy usage in oil and gas related extraction processes are reproduced for reference. Energy cost and production are given for oil and gas well drilling, crude oil and production, national gas production, and natural gas liquid production.

  19. Table HC6.7 Air-Conditioning Usage Indicators by Number of Household...

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

    9.7 Have Equipment But Do Not Use it... 1.9 0.6 0.5 Q 0.2 0.4 Type of Air-Conditioning Equipment 1, 2 Central System......

  20. Table HC6.12 Home Electronics Usage Indicators by Number of...

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

    111.1 30.0 34.8 18.4 15.9 12.0 Personal Computers Do Not Use a Personal Computer... 35.5 16.3 9.4 4.0 2.7 3.2 Use a Personal...

  1. "Table HC15.12 Home Electronics Usage Indicators by Four Most...

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

    PC(s) " "Personal Use",39.8,2.7,2.7,3.4,4.7 "Recreation",14.4,0.6,0.6,0.8,1 "EducationSchool",10.3,0.5,0.9,0.5,1.8 "Home Business",7.6,0.3,0.6,0.5,1 "Telecommuting",3.5,"Q","Q","Q...

  2. "Table HC12.12 Home Electronics Usage Indicators by Midwest...

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

    of PC(s) " "Personal Use",39.8,9.2,6.4,2.7 "Recreation",14.4,4.1,2.8,1.3 "EducationSchool",10.3,1.9,1.4,0.5 "Home Business",7.6,1.7,1.1,0.6 "Telecommuting",3.5,0.6,0.4,"Q"...

  3. "Table HC10.12 Home Electronics Usage Indicators by U.S. Census...

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

    PC(s) " "Personal Use",39.8,7.3,9.2,14.4,9 "Recreation",14.4,3,4.1,4.8,2.5 "EducationSchool",10.3,1.7,1.9,3.8,3 "Home Business",7.6,1.1,1.7,2.7,2.2 "Telecommuting",3.5,0.7,0.6,1,...

  4. "Table HC9.12 Home Electronics Usage Indicators by Climate Zone...

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

    " "Personal Use",39.8,4,9.2,9.7,8.3,8.6 "Recreation",14.4,1.6,4,4,2.7,2.1 "EducationSchool",10.3,0.8,2.4,2,2.8,2.3 "Home Business",7.6,1,1.5,1.7,1.6,1.7 "Telecommuting",3.5,0.3,...

  5. "Table HC4.12 Home Electronics Usage Indicators by Renter-Occupied...

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

    Use",39.8,8.2,2.2,0.5,1.2,4.1,"Q" "Recreation",14.4,3.9,1.2,0.6,0.7,1.4,"Q" "EducationSchool",10.3,3.6,0.9,0.3,0.5,1.8,"Q" "Home Business",7.6,1.3,0.5,"Q","Q",0.5,"Q"...

  6. "Table HC11.12 Home Electronics Usage Indicators by Northeast...

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

    Use of PC(s) " "Personal Use",39.8,7.3,5.7,1.6 "Recreation",14.4,3,2,1 "EducationSchool",10.3,1.7,1,0.6 "Home Business",7.6,1.1,0.7,0.3 "Telecommuting",3.5,0.7,0.3,0.3...

  7. "Table HC3.12 Home Electronics Usage Indicators by Owner-Occupied...

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

    ",39.8,31.6,26.7,1.6,0.8,0.9,1.6 "Recreation",14.4,10.5,8.9,0.7,"Q",0.3,0.6 "EducationSchool",10.3,6.7,5.8,0.2,"Q","N",0.5 "Home Business",7.6,6.3,5.5,"Q","Q","Q",0.3...

  8. "Table HC14.12 Home Electronics Usage Indicators by West Census...

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

    Use of PC(s) " "Personal Use",39.8,9,2.6,6.4 "Recreation",14.4,2.5,0.8,1.7 "EducationSchool",10.3,3,0.8,2.2 "Home Business",7.6,2.2,0.7,1.4 "Telecommuting",3.5,1.2,0.3,0.9...

  9. "Table HC8.12 Home Electronics Usage Indicators by Urban/Rural...

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

    " "Personal Use",39.8,16.5,5.8,10.4,7.2 "Recreation",14.4,5,3.2,3.1,3.1 "EducationSchool",10.3,4.9,1.8,1.7,1.9 "Home Business",7.6,2.5,1.2,1.9,1.9 "Telecommuting",3.5,1.4,0.4,...

  10. "Table HC7.12 Home Electronics Usage Indicators by Household...

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

    39.8,4.4,9.7,8.8,6,11,2.7,8.5 "Recreation",14.4,2.2,3.7,3.4,2.4,2.7,1.3,3.9 "EducationSchool",10.3,1.9,2.6,2.4,1.4,2,1.6,3.7 "Home Business",7.6,0.7,1.1,1.2,1.1,3.3,0.5,1.3...

  11. "Table HC12.7 Air-Conditioning Usage Indicators by Midwest Census...

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

    "Type of Air-Conditioning Equipment1, 2" "Central System",65.9,17.3,11.3,6 "Without a Heat Pump",53.5,16.2,10.6,5.6 "With a Heat Pump",12.3,1.1,0.8,0.4 "WindowWall...

  12. "Table HC11.7 Air-Conditioning Usage Indicators by Northeast...

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

    "Type of Air-Conditioning Equipment1, 2" "Central System",65.9,6,5.2,0.8 "Without a Heat Pump",53.5,5.5,4.8,0.7 "With a Heat Pump",12.3,0.5,0.4,"Q" "WindowWall...

  13. "Table HC10.7 Air-Conditioning Usage Indicators by U.S. Census...

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

    of Air-Conditioning Equipment1, 2" "Central System",65.9,6,17.3,32.1,10.5 "Without a Heat Pump",53.5,5.5,16.2,23.2,8.7 "With a Heat Pump",12.3,0.5,1.1,9,1.7 "WindowWall...

  14. "Table HC13.7 Air-Conditioning Usage Indicators by South Census...

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

    of Air-Conditioning Equipment1, 2" "Central System",65.9,32.1,17.6,5.2,9.3 "Without a Heat Pump",53.5,23.2,10.9,3.8,8.4 "With a Heat Pump",12.3,9,6.7,1.4,0.9 "WindowWall...

  15. "Table HC14.7 Air-Conditioning Usage Indicators by West Census...

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

    of Air-Conditioning Equipment1, 2" "Central System",65.9,10.5,3.9,6.5 "Without a Heat Pump",53.5,8.7,3.2,5.5 "With a Heat Pump",12.3,1.7,0.7,1 "WindowWall...

  16. "Table HC3.7 Air-Conditioning Usage Indicators by Owner-Occupied...

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

    Equipment1, 2" "Central System",65.9,51.7,43.9,2.5,0.7,1.6,3.1 "Without a Heat Pump",53.5,41.1,34.8,2.1,0.5,1.2,2.6 "With a Heat Pump",12.3,10.6,9.1,0.4,"Q",0.3,0.6...

  17. "Table HC15.7 Air-Conditioning Usage Indicators by Four Most...

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

    of Air-Conditioning Equipment1, 2" "Central System",65.9,1.1,6.4,6.4,5.4 "Without a Heat Pump",53.5,1.1,3.5,5.7,4.9 "With a Heat Pump",12.3,"Q",2.9,0.7,0.5 "WindowWall...

  18. "Table HC4.7 Air-Conditioning Usage Indicators by Renter-Occupied...

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

    Equipment1, 2" "Central System",65.9,14.1,3.6,1.5,2.1,6.4,0.6 "Without a Heat Pump",53.5,12.4,3.1,1.3,1.8,5.7,0.6 "With a Heat Pump",12.3,1.7,0.6,"Q",0.3,0.6,"Q"...

  19. A study of the validity of language usage as an indicator of ethnic identification

    E-Print Network [OSTI]

    Patella, Victoria Morrow

    1971-01-01T23:59:59.000Z

    answer to numerous local and long-distance pleas for, help w1th the computer analysis; Mr. Brad Lisenbe, Mr. Peter Liu, and Mr. Edward Lindstrom for the1 r programing. Janet Tedford, for typ1ng and help in so many ways and the other departmental... Each of the Poss ible Pairs of Responses to Items 29b, Language Used With Parents, and 29c, Language Used !lith Close Friends in Neighborhood Page[ 3BI Numbers of Respondents Giving Each of the Possible Pa1rs of Responses to Items 29b, Language...

  20. "Table HC12.13 Lighting Usage Indicators by Midwest Census Region...

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

    Central","West North Central" "Total U.S. Housing Units",111.1,25.6,17.7,7.9 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per...

  1. "Table HC11.13 Lighting Usage Indicators by Northeast Census...

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

    Atlantic","New England" "Total U.S. Housing Units",111.1,20.6,15.1,5.5 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per...

  2. "Table HC14.13 Lighting Usage Indicators by West Census Region...

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

    icators",,,"Mountain","Pacific" "Total U.S. Housing Units",111.1,24.2,7.6,16.6 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per...

  3. "Table HC13.13 Lighting Usage Indicators by South Census Region...

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

    South Central" "Total U.S. Housing Units",111.1,40.7,21.7,6.9,12.1 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per...

  4. "Table HC10.13 Lighting Usage Indicators by U.S. Census Region...

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

    ,"Midwest","South","West" "Total U.S. Housing Units",111.1,20.6,25.6,40.7,24.2 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per...

  5. "Table HC7.5 Space Heating Usage Indicators by Household Income...

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

    Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than...

  6. "Table HC14.5 Space Heating Usage Indicators by West Census...

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

    Used" "Heat Pump",0.6,"Q","N","Q" "Central Warm-Air Furnace",2.3,0.6,"Q",0.5 "SteamHot Water System","Q","Q","N","Q" "Built-in Electric Units",2.2,0.7,"Q",0.5 "Built-in Pipeless...

  7. "Table HC12.5 Space Heating Usage Indicators by Midwest Census...

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

    Used" "Heat Pump",0.6,"Q","Q","Q" "Central Warm-Air Furnace",2.3,0.9,0.5,0.3 "SteamHot Water System","Q","Q","Q","N" "Built-in Electric Units",2.2,0.6,0.4,0.3 "Built-in Pipeless...

  8. "Table HC13.5 Space Heating Usage Indicators by South Census...

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

    "Heat Pump",0.6,0.4,0.3,"Q","N" "Central Warm-Air Furnace",2.3,0.7,0.3,0.2,"Q" "SteamHot Water System","Q","N","N","N","N" "Built-in Electric Units",2.2,0.4,0.3,"Q","N" "Built-in...

  9. "Table HC15.5 Space Heating Usage Indicators by Four Most Populated...

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

    "Heat Pump",0.6,"N","N","N","Q" "Central Warm-Air Furnace",2.3,"Q","Q","Q",0.3 "SteamHot Water System","Q","N","N","N","N" "Built-in Electric Units",2.2,"Q","Q","N",0.3 "Built-in...

  10. "Table HC11.5 Space Heating Usage Indicators by Northeast Census...

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

    Used" "Heat Pump",0.6,"N","N","N" "Central Warm-Air Furnace",2.3,"Q","Q","Q" "SteamHot Water System","Q","Q","Q","Q" "Built-in Electric Units",2.2,0.4,"Q",0.2 "Built-in Pipeless...

  11. Table HC15.7 Air-Conditioning Usage Indicators by Four Most Populated States, 2005

    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-14Total DeliveredPrincipal shale gas:14:9a.0 Home7

  12. Table HC6.12 Home Electronics Usage Indicators by Number of Household Members, 2005

    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-14Total DeliveredPrincipal shale gas:14:9a.0 Home7.41

  13. Table HC6.5 Space Heating Usage Indicators by Number of Household Members, 2005

    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-14Total DeliveredPrincipal shale gas:14:9a.0 Home7.41245

  14. Table HC6.7 Air-Conditioning Usage Indicators by Number of Household Members, 2005

    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-14Total DeliveredPrincipal shale gas:14:9a.0 Home7.412457

  15. Table HC15.7 Air-Conditioning Usage Indicators by Four Most Populated States, 2005

    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 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a.7

  16. Table HC6.12 Home Electronics Usage Indicators by Number of Household Members, 2005

    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 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a.7 Million0 Home12

  17. Table HC6.5 Space Heating Usage Indicators by Number of Household Members, 2005

    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 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a.7 Million04

  18. Table HC6.7 Air-Conditioning Usage Indicators by Number of Household Members, 2005

    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 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a.7 Million047

  19. "Table HC11.13 Lighting Usage Indicators by Northeast Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362 Home3

  20. "Table HC12.13 Lighting Usage Indicators by Midwest Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal43627803

  1. "Table HC7.12 Home Electronics Usage Indicators by Household Income, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home8 Water0 Home2

  2. "Table HC7.5 Space Heating Usage Indicators by Household Income, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home8 Water0 Home25

  3. "Table HC9.12 Home Electronics Usage Indicators by Climate Zone, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home8 Water00 Home2

  4. "Table HC9.5 Space Heating Usage Indicators by Climate Zone, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home8 Water00 Home25

  5. New analysis techniques for estimating impacts of federal appliance efficiency standards

    SciTech Connect (OSTI)

    McMahon, James E.

    2003-06-24T23:59:59.000Z

    Impacts of U.S. appliance and equipment standards have been described previously. Since 2000, the U.S. Department of Energy (DOE) has updated standards for clothes washers, water heaters, and residential central air conditioners and heat pumps. A revised estimate of the aggregate impacts of all the residential appliance standards in the United States shows that existing standards will reduce residential primary energy consumption and associated carbon dioxide (CO{sub 2}) emissions by 89 percent in 2020 compared to the levels expected without any standards. Studies of possible new standards are underway for residential furnaces and boilers, as well as a number of products in the commercial (tertiary) sector, such as distribution transformers and unitary air conditioners. The analysis of standards has evolved in response to critiques and in an attempt to develop more precise estimates of costs and benefits of these regulations. The newer analysis elements include: (1) valuing energy savings by using marginal (rather than average) energy prices specific to an end-use; (2) simulating the impacts of energy efficiency increases over a sample population of consumers to quantify the proportion of households having net benefits or net costs over the life of the appliance; and (3) calculating marginal markups in distribution channels to derive the incremental change in retail prices associated with increased manufacturing costs for improving energy efficiency.

  6. KOINOTITES: A Web Usage Mining Tool for Personalization

    E-Print Network [OSTI]

    Paliouras, George

    KOINOTITES: A Web Usage Mining Tool for Personalization Dimitrios Pierrakos Inst. of Informatics@iit.demokritos.gr SUMMARY This paper presents the Web Usage Mining system KOINOTITES, which uses data mining techniques for the construction of user communities on the Web. User communities model groups of visitors in a Web site, who have

  7. A MOOS MODULE FOR MONITORING ENERGY USAGE OF AUTONOMOUS VEHICLES

    E-Print Network [OSTI]

    Idaho, University of

    A MOOS MODULE FOR MONITORING ENERGY USAGE OF AUTONOMOUS VEHICLES Anthony Kanago, Kevin Roos, James--Tracking the energy usage of an autonomous underwater vehicle (AUV) and making accurate data available provides is particularly relevant in the context of long, open-sea missions: energy consumption. A vehicle operating

  8. Research article Statistics usage by French academic libraries a

    E-Print Network [OSTI]

    Boyer, Edmond

    1/15 Research article Statistics usage by French academic libraries ­ a survey Chérifa BOUKACEM of digital resources in academic libraries, the small number of articles dedicated to the processing of usage-ZEGHMOURI Université Lyon 1 Joachim SCH?PFEL Université Charles-de-Gaulle Lille 3 Abstract The article presents

  9. Agenda for Public Meeting on the Physical Characterization of Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances

    Broader source: Energy.gov [DOE]

    Download the agenda below for the July 11 Public Meeting on the Physical Characterization of Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances.

  10. Assembling Appliances Standards from a Basket of Functions

    SciTech Connect (OSTI)

    Siderious, Hans-Paul; Meier, Alan

    2014-08-11T23:59:59.000Z

    Rapid innovation in product design challenges the current methodology for setting standards and labels, especially for electronics, software and networking. Major problems include defining the product, measuring its energy consumption, and choosing the appropriate metric and level for the standard. Most governments have tried to solve these problems by defining ever more specific product subcategories, along with their corresponding test methods and metrics. An alternative approach would treat each energy-using product as something that delivers a basket of functions. Then separate standards would be constructed for the individual functions that can be defined, tested, and evaluated. Case studies of thermostats, displays and network equipment are presented to illustrate the problems with the classical approach for setting standards and indicate the merits and drawbacks of the alternative. The functional approach appears best suited to products whose primary purpose is processing information and that have multiple functions.

  11. The Impact of Residential Density on Vehicle Usage and Energy Consumption

    E-Print Network [OSTI]

    Golob, Thomas F; Brownstone, David

    2005-01-01T23:59:59.000Z

    on Vehicle Usage and Energy Consumption References Bento,Vehicle Usage and Energy Consumption UCI-ITS-WP-05-1 Thomason Vehicle Usage and Energy Consumption Thomas F. Golob

  12. Mining data on usage of electronic nicotine delivery systems (ENDS) from YouTube videos

    E-Print Network [OSTI]

    Talbot, Prue

    2013-01-01T23:59:59.000Z

    by group.bmj.com Research paper Mining data on usage of2013 - Published by group.bmj.com Mining data on usage of

  13. The impact of residential density on vehicle usage and fuel consumption

    E-Print Network [OSTI]

    Kim, Jinwon; Brownstone, David

    2010-01-01T23:59:59.000Z

    characteristics on household residential choice and auto2009. The impact of residential density on vehicle usage and2010-05) The impact of residential density on vehicle usage

  14. The Impact of Residential Density on Vehicle Usage and Energy Consumption

    E-Print Network [OSTI]

    Golob, Thomas F.; Brownstone, David

    2005-01-01T23:59:59.000Z

    Vehicle Usage and Energy Consumption Table 2 Housing Unitsresidential vehicular energy consumption is graphed as aon Vehicle Usage and Energy Consumption with vehicles, but

  15. VEHICLE USAGE LOG Department ________________________________________ Vehicle Homebase ____________________________ Week Ended (Sunday) _________________

    E-Print Network [OSTI]

    Yang, Zong-Liang

    VEHICLE USAGE LOG Department ________________________________________ Vehicle Homebase ____________________________ Week Ended (Sunday) _________________ Door #____________ License Plate ____________________ Vehicle/Supplies (Enter Description such as grade sheets, artifacts, money, etc.) 6. Taking vehicle to Automotive Shop

  16. Max Tech and Beyond: Maximizing Appliance and Equipment Efficiency by Design

    SciTech Connect (OSTI)

    Desroches, Louis-Benoit; Garbesi, Karina

    2011-07-20T23:59:59.000Z

    It is well established that energy efficiency is most often the lowest cost approach to reducing national energy use and minimizing carbon emissions. National investments in energy efficiency to date have been highly cost-effective. The cumulative impacts (out to 2050) of residential energy efficiency standards are expected to have a benefit-to-cost ratio of 2.71:1. This project examined energy end-uses in the residential, commercial, and in some cases the industrial sectors. The scope is limited to appliances and equipment, and does not include building materials, building envelopes, and system designs. This scope is consistent with the scope of DOE's appliance standards program, although many products considered here are not currently subject to energy efficiency standards. How much energy could the United States save if the most efficient design options currently feasible were adopted universally? What design features could produce those savings? How would the savings from various technologies compare? With an eye toward identifying promising candidates and strategies for potential energy efficiency standards, the Max Tech and Beyond project aims to answer these questions. The analysis attempts to consolidate, in one document, the energy savings potential and design characteristics of best-on-market products, best-engineered products (i.e., hypothetical products produced using best-on-market components and technologies), and emerging technologies in research & development. As defined here, emerging technologies are fundamentally new and are as yet unproven in the market, although laboratory studies and/or emerging niche applications offer persuasive evidence of major energy-savings potential. The term 'max tech' is used to describe both best-engineered and emerging technologies (whichever appears to offer larger savings). Few best-on-market products currently qualify as max tech, since few apply all available best practices and components. The three primary analyses presented in this report are: Nevertheless, it is important to analyze best-on-market products, since data on truly max tech technologies are limited. (1) an analysis of the cross-cutting strategies most promising for reducing appliance and equipment energy use in the U.S.; (2) a macro-analysis of the U.S. energy-saving potential inherent in promising ultra-efficient appliance technologies; and (3) a product-level analysis of the energy-saving potential.

  17. "Table HC12.9 Home Appliances Characteristics by Midwest Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances

  18. "Table HC13.9 Home Appliances Characteristics by South Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances78 Water3.9

  19. "Table HC14.9 Home Appliances Characteristics by West Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7835

  20. Mthodes et outils pour l'observation et l'analyse des usages tudier les usages pdagogiques

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    l'ducation, Min. de l'ducation : yves.laborey@education.gouv.fr, Sommaire PNER #12;2 Table des...................................................................................... 5 1. Les enjeux des tudes d'usages des TICs en ducation et en formation

  1. EPA ENERGY STAR: Tackling Growth in Home Electronics and Small Appliances

    SciTech Connect (OSTI)

    Sanchez, Marla Christine; Brown, Richard; Homan, Gregory

    2008-11-17T23:59:59.000Z

    Over a decade ago, the electricity consumption associated with home electronics and other small appliances emerged onto the global energy policy landscape as one of the fastest growing residential end uses with the opportunity to deliver significant energy savings. As our knowledge of this end use matures, it is essential to step back and evaluate the degree to which energy efficiency programs have successfully realized energy savings and where savings opportunities have been missed.For the past fifteen years, we have quantified energy, utility bill, and carbon savings for US EPA?s ENERGY STAR voluntary product labeling program. In this paper, we present a unique look into the US residential program savings claimed to date for EPA?s ENERGY STAR office equipment, consumer electronics, and other small household appliances as well as EPA?s projected program savings over the next five years. We present a top-level discussion identifying program areas where EPA?s ENERGY STAR efforts have succeeded and program areas where ENERGY STAR efforts did not successfully address underlying market factors, technology issues and/or consumer behavior. We end by presenting the magnitude of ?overlooked? savings.

  2. Appliances, Lighting, Electronics, and Miscellaneous EquipmentElectricity Use in New Homes

    SciTech Connect (OSTI)

    Brown, Richard E.; Rittelman, William; Parker, Danny; Homan,Gregory

    2007-02-28T23:59:59.000Z

    The "Other" end-uses (appliances, lighting, electronics, andmiscellaneous equipment) continue to grow. This is particularly true innew homes, where increasing floor area and amenities are leading tohigher saturation of these types of devices. This paper combines thefindings of several field studies to assess the current state ofknowledge about the "Other" end-uses in new homes. The field studiesinclude sub-metered measurements of occupied houses in Arizona, Florida,and Colorado, as well as device-level surveys and power measurements inunoccupied new homes. We find that appliances, lighting, electronics, andmiscellaneous equipment can consume from 46 percent to 88 percent ofwhole-house electricity use in current low-energy homes. Moreover, theannual consumption for the "Other" end-uses is not significantly lower innew homes (even those designed for low energy use) compared to existinghomes. The device-level surveys show that builder-installed equipment isa significant contributor to annual electricity consumption, and certaindevices that are becoming more common in new homes, such as structuredwiring systems, contribute significantly to this power consumption. Thesefindings suggest that energy consumption by these "Other" end uses isstill too large to allow cost-effective zero-energy homes.

  3. Usage Mining for the World Wide Web WenChen Hu, wenchen@cs.und.edu

    E-Print Network [OSTI]

    Hu, Wen-Chen

    Usage Mining for the World Wide Web WenChen Hu, wenchen@cs.und.edu Department of Computer Science@mail.tku.edu.tw Department of Information Engineering, Tamkang University, Tamsui, Taiwan ABSTRACT Web usage mining is used an overview and analysis of current Web usage mining technologies and systems. A Web usage mining system

  4. A Framework for Personal Web Usage Mining Yongjian Fu Ming-Yi Shih

    E-Print Network [OSTI]

    Fu, Yongjian

    A Framework for Personal Web Usage Mining Yongjian Fu Ming-Yi Shih Department of Computer Science-0350 Rolla, MO 65409-0350 yongjian@umr.edu mingyi@umr.edu Abstract In this paper, we propose to mine Web usage data on client side, or personal Web usage mining, as a complement to the server side Web usage

  5. A Framework for Personal Web Usage Mining Yongjian Fu MingYi Shih

    E-Print Network [OSTI]

    Fu, Yongjian

    A Framework for Personal Web Usage Mining Yongjian Fu MingYi Shih Department of Computer Science0350 Rolla, MO 654090350 yongjian@umr.edu mingyi@umr.edu Abstract In this paper, we propose to mine Web usage data on client side, or personal Web usage mining, as a complement to the server side Web usage

  6. APPLIANCE STANDARDS

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

    Fan Light Kits External Power Supplies Walk-in Coolers & Freezers Commercial Refrigeration Equipment Refrigerators & Freezers Water Heaters CAC HP CAC HP Furnaces &...

  7. 2011 Radioactive Materials Usage Survey for Unmonitored Point Sources

    SciTech Connect (OSTI)

    Sturgeon, Richard W. [Los Alamos National Laboratory

    2012-06-27T23:59:59.000Z

    This report provides the results of the 2011 Radioactive Materials Usage Survey for Unmonitored Point Sources (RMUS), which was updated by the Environmental Protection (ENV) Division's Environmental Stewardship (ES) at Los Alamos National Laboratory (LANL). ES classifies LANL emission sources into one of four Tiers, based on the potential effective dose equivalent (PEDE) calculated for each point source. Detailed descriptions of these tiers are provided in Section 3. The usage survey is conducted annually; in odd-numbered years the survey addresses all monitored and unmonitored point sources and in even-numbered years it addresses all Tier III and various selected other sources. This graded approach was designed to ensure that the appropriate emphasis is placed on point sources that have higher potential emissions to the environment. For calendar year (CY) 2011, ES has divided the usage survey into two distinct reports, one covering the monitored point sources (to be completed later this year) and this report covering all unmonitored point sources. This usage survey includes the following release points: (1) all unmonitored sources identified in the 2010 usage survey, (2) any new release points identified through the new project review (NPR) process, and (3) other release points as designated by the Rad-NESHAP Team Leader. Data for all unmonitored point sources at LANL is stored in the survey files at ES. LANL uses this survey data to help demonstrate compliance with Clean Air Act radioactive air emissions regulations (40 CFR 61, Subpart H). The remainder of this introduction provides a brief description of the information contained in each section. Section 2 of this report describes the methods that were employed for gathering usage survey data and for calculating usage, emissions, and dose for these point sources. It also references the appropriate ES procedures for further information. Section 3 describes the RMUS and explains how the survey results are organized. The RMUS Interview Form with the attached RMUS Process Form(s) provides the radioactive materials survey data by technical area (TA) and building number. The survey data for each release point includes information such as: exhaust stack identification number, room number, radioactive material source type (i.e., potential source or future potential source of air emissions), radionuclide, usage (in curies) and usage basis, physical state (gas, liquid, particulate, solid, or custom), release fraction (from Appendix D to 40 CFR 61, Subpart H), and process descriptions. In addition, the interview form also calculates emissions (in curies), lists mrem/Ci factors, calculates PEDEs, and states the location of the critical receptor for that release point. [The critical receptor is the maximum exposed off-site member of the public, specific to each individual facility.] Each of these data fields is described in this section. The Tier classification of release points, which was first introduced with the 1999 usage survey, is also described in detail in this section. Section 4 includes a brief discussion of the dose estimate methodology, and includes a discussion of several release points of particular interest in the CY 2011 usage survey report. It also includes a table of the calculated PEDEs for each release point at its critical receptor. Section 5 describes ES's approach to Quality Assurance (QA) for the usage survey. Satisfactory completion of the survey requires that team members responsible for Rad-NESHAP (National Emissions Standard for Hazardous Air Pollutants) compliance accurately collect and process several types of information, including radioactive materials usage data, process information, and supporting information. They must also perform and document the QA reviews outlined in Section 5.2.6 (Process Verification and Peer Review) of ES-RN, 'Quality Assurance Project Plan for the Rad-NESHAP Compliance Project' to verify that all information is complete and correct.

  8. Residential Appliance Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1

    E-Print Network [OSTI]

    was developed by the Electric Power Research Institute (McMenamin et al. 1992). In this modeling framework the modeling framework of the Residential End-Use Energy Planning System (REEPS) developed for the Electric provided by the Appliance Model in the Residential End-Use Energy Planning System (REEPS), which

  9. Energy-efficiency labels and standards: A guidebook for appliances, equipment and lighting

    SciTech Connect (OSTI)

    McMahon, James E.; Wiel, Stephen

    2001-02-16T23:59:59.000Z

    Energy-performance improvements in consumer products are an essential element in any government's portfolio of energy-efficiency and climate change mitigation programs. Governments need to develop balanced programs, both voluntary and regulatory, that remove cost-ineffective, energy-wasting products from the marketplace and stimulate the development of cost-effective, energy-efficient technology. Energy-efficiency labels and standards for appliances, equipment, and lighting products deserve to be among the first policy tools considered by a country's energy policy makers. The U.S. Agency for International Development (USAID) and the United Nations Foundation (UNF) recognize the need to support policy makers in their efforts to implement energy-efficiency standards and labeling programs and have developed this guidebook, together with the Collaborative Labeling and Appliance Standards Program (CLASP), as a primary reference. This guidebook was prepared over the course of the past year with significant contribution from the authors and reviewers mentioned previously. Their diligent participation has made this the international guidance tool it was intended to be. The lead authors would also like to thank the following individuals for their support in the development, production, and distribution of the guidebook: Marcy Beck, Elisa Derby, Diana Dhunke, Ted Gartner, and Julie Osborn of Lawrence Berkeley National Laboratory as well as Anthony Ma of Bevilacqua-Knight, Inc. This guidebook is designed as a manual for government officials and others around the world responsible for developing, implementing, enforcing, monitoring, and maintaining labeling and standards-setting programs. It discusses the pros and cons of adopting energy-efficiency labels and standards and describes the data, facilities, and institutional and human resources needed for these programs. It provides guidance on the design, development, implementation, maintenance, and evaluation of the programs and on the design of the labels and standards themselves. In addition, it directs the reader to references and other resources likely to be useful in conducting the activities described and includes a chapter on energy policies and programs that complement appliance efficiency labels and standards. This guidebook attempts to reflect the essential framework of labeling and standards programs. It is the intent of the authors and sponsors to distribute copies of this book worldwide at no charge for the general public benefit. The guidebook is also available on the web at www.CLASPonline.org and can be downloaded to be used intact or piecemeal for whatever beneficial purposes readers may conceive.

  10. Commercial Building Tenant Energy Usage Aggregation and Privacy

    SciTech Connect (OSTI)

    Livingston, Olga V.; Pulsipher, Trenton C.; Anderson, David M.; Wang, Na

    2014-10-31T23:59:59.000Z

    A growing number of building owners are benchmarking their building energy use. This requires the building owner to acquire monthly whole-building energy usage information, which can be challenging for buildings in which individual tenants have their own utility meters and accounts with the utility. Some utilities and utility regulators have turned to aggregation of customer energy use data (CEUD) as a way to give building owners whole-building energy usage data while protecting customer privacy. Meter profile aggregation adds a layer of protection that decreases the risk of revealing CEUD as the number of meters aggregated increases. The report statistically characterizes the similarity between individual energy usage patterns and whole-building totals at various levels of meter aggregation.

  11. Mining Software Usage with the Automatic Library Tracking Database (ALTD)

    SciTech Connect (OSTI)

    Hadri, Bilel [ORNL; Fahey, Mark R [ORNL

    2013-01-01T23:59:59.000Z

    Tracking software usage is important for HPC centers, computer vendors, code developers and funding agencies to provide more efficient and targeted software support, and to forecast needs and guide HPC software effort towards the Exascale era. However, accurately tracking software usage on HPC systems has been a challenging task. In this paper, we present a tool called Automatic Library Tracking Database (ALTD) that has been developed and put in production on several Cray systems. The ALTD infrastructure prototype automatically and transparently stores information about libraries linked into an application at compilation time and also the executables launched in a batch job. We will illustrate the usage of libraries, compilers and third party software applications on a system managed by the National Institute for Computational Sciences.

  12. Evaluation of Waste Heat Recovery and Utilization from Residential Appliances and Fixtures

    SciTech Connect (OSTI)

    Tomlinson, John J [ORNL; Christian, Jeff [Oak Ridge National Laboratory (ORNL); Gehl, Anthony C [ORNL

    2012-09-01T23:59:59.000Z

    Executive Summary In every home irrespective of its size, location, age, or efficiency, heat in the form of drainwater or dryer exhaust is wasted. Although from a waste stream, this energy has the potential for being captured, possibly stored, and then reused for preheating hot water or air thereby saving operating costs to the homeowner. In applications such as a shower and possibly a dryer, waste heat is produced at the same time as energy is used, so that a heat exchanger to capture the waste energy and return it to the supply is all that is needed. In other applications such as capturing the energy in drainwater from a tub, dishwasher, or washing machine, the availability of waste heat might not coincide with an immediate use for energy, and consequently a heat exchanger system with heat storage capacity (i.e. a regenerator) would be necessary. This study describes a two-house experimental evaluation of a system designed to capture waste heat from the shower, dishwasher clothes washer and dryer, and to use this waste heat to offset some of the hot water energy needs of the house. Although each house was unoccupied, they were fitted with equipment that would completely simulate the heat loads and behavior of human occupants including operating the appliances and fixtures on a demand schedule identical to Building American protocol (Hendron, 2009). The heat recovery system combined (1) a gravity-film heat exchanger (GFX) installed in a vertical section of drainline, (2) a heat exchanger for capturing dryer exhaust heat, (3) a preheat tank for storing the captured heat, and (4) a small recirculation pump and controls, so that the system could be operated anytime that waste heat from the shower, dishwasher, clothes washer and dryer, and in any combination was produced. The study found capturing energy from the dishwasher and clothes washer to be a challenge since those two appliances dump waste water over a short time interval. Controls based on the status of the dump valve on these two appliances would have eliminated uncertainty in knowing when waste water was flowing and the recovery system operated. The study also suggested that capture of dryer exhaust heat to heat incoming air to the dryer should be examined as an alternative to using drying exhaust energy for water heating. The study found that over a 6-week test period, the system in each house was able to recover on average approximately 3000 W-h of waste heat daily from these appliance and showers with slightly less on simulated weekdays and slightly more on simulated weekends which were heavy wash/dry days. Most of these energy savings were due to the shower/GFX operation, and the least savings were for the dishwasher/GFX operation. Overall, the value of the 3000 W-h of displaced energy would have been $0.27/day based on an electricity price of $.09/kWh. Although small for today s convention house, these savings are significant for a home designed to approach maximum affordable efficiency where daily operating costs for the whole house are less than a dollar per day. In 2010 the actual measured cost of energy in one of the simulated occupancy houses which waste heat recovery testing was undertaken was $0.77/day.

  13. COOKING APPLIANCE USE IN CALIFORNIA HOMES DATA COLLECTED FROM A WEB-BASED SURVEY

    SciTech Connect (OSTI)

    Klug, Victoria; Lobscheid, Agnes; Singer, Brett

    2011-08-01T23:59:59.000Z

    Cooking of food and use of natural gas cooking burners generate pollutants that can have substantial impacts on residential indoor air quality. The extent of these impacts depends on cooking frequency, duration and specific food preparation activities in addition to the extent to which exhaust fans or other ventilation measures (e.g. windows) are used during cooking. With the intent of improving our understanding of indoor air quality impacts of cooking-related pollutants, we created, posted and advertised a web-based survey about cooking activities in residences. The survey included questions similar to those in California's Residential Appliance Saturation Survey (RASS), relating to home, household and cooking appliance characteristics and weekly patterns of meals cooked. Other questions targeted the following information not captured in the RASS: (1) oven vs. cooktop use, the number of cooktop burners used and the duration of burner use when cooking occurs, (2) specific cooking activities, (3) the use of range hood or window to increase ventilation during cooking, and (4) occupancy during cooking. Specific cooking activity questions were asked about the prior 24 hours with the assumption that most people are able to recollect activities over this time period. We examined inter-relationships among cooking activities and patterns and relationships of cooking activities to household demographics. We did not seek to obtain a sample of respondents that is demographically representative of the California population but rather to inexpensively gather information from homes spanning ranges of relevant characteristics including the number of residents and presence or absence of children. This report presents the survey, the responses obtained, and limited analysis of the results.

  14. Improving Home Automation by Discovering Regularly Occurring Device Usage Patterns

    E-Print Network [OSTI]

    Cook, Diane J.

    Improving Home Automation by Discovering Regularly Occurring Device Usage Patterns Edwin O in an environment can be mined to discover significant patterns, which an intelligent agent could use to automate of two prediction algorithms, thus demonstrating multiple uses for a home automation system. Finally, we

  15. Personality and Patterns of Facebook Usage Yoram Bachrach

    E-Print Network [OSTI]

    Rajamani, Sriram K.

    Personality and Patterns of Facebook Usage Yoram Bachrach Microsoft Research yobach.ac.uk ABSTRACT We show how users' activity on Facebook relates to their per- sonality, as measured by the standard Five Factor Model. Our dataset consists of the personality profiles and Facebook pro- file data

  16. Statler College Research Data Center Access and Usage Policy

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    Statler College Research Data Center Access and Usage Policy Objective Access to the Statler under WVU and federal guidelines. Scope This policy applies to all Statler staff, faculty, administrators, officers, contractors and students. Policy Access to the RDC shall be limited to those authorized

  17. Towards activity-relevant attribution of IT energy usage

    E-Print Network [OSTI]

    Chaudhuri, Surajit

    Towards activity-relevant attribution of IT energy usage From a previous study we were able to disaggregate per socket energy consumption from whole domicile energy consumption. We discovered that Home preparation/storage, it is the largest contributor to personal energy consumption. Understanding how and when

  18. Who Is Buying PEVS in California? Exploring Household and Usage

    E-Print Network [OSTI]

    California at Davis, University of

    Additional vehicle "Vehicle Change" Replaced Will Replace Additional vehicle #12;8/3/2012 8 Hybrid Ownership (Hybrid) General pop have Hybrid Vehicle Usage and Charging #12;8/3/2012 9 Driver Characteristics ·Average 4 5 6 7 8 9 10 11 12 Sample M h #12;8/3/2012 2 Respondents Locations 3 Nissan LEAFs Vehicle

  19. A Web Usage Mining Framework for Web Directories Personalization

    E-Print Network [OSTI]

    Kouroupetroglou, Georgios

    A Web Usage Mining Framework for Web Directories Personalization Dimitrios Pierrakos Department framework that combines Web personalization and Web directories, which results in the concept of Community Web Directories. Community Web directories is a novel form of personalization performed on Web

  20. Personalizing Web Directories with the Aid of Web Usage Data

    E-Print Network [OSTI]

    Paliouras, George

    Personalizing Web Directories with the Aid of Web Usage Data Dimitrios Pierrakos, Member, IEEE of Community Web Directories, a concept that we introduced in our recent work, applying personalization to Web directories. In this context, the Web directory is viewed as a thematic hierarchy and personalization

  1. Energy Usage Attitudes of Urban India IBM Research India

    E-Print Network [OSTI]

    Toronto, University of

    Energy Usage Attitudes of Urban India Mohit Jain IBM Research India mohitjain@in.ibm.com Deepika@cs.cmu.edu Amarjeet Singh IIIT Delhi, India amarjeet@iiitd.ac.in Abstract-- Though rapid increase in energy factors affecting energy consumption in urban India. However, the small numbers of participants in those

  2. Fuel bundle design for enhanced usage of plutonium fuel

    DOE Patents [OSTI]

    Reese, Anthony P. (San Jose, CA); Stachowski, Russell E. (Fremont, CA)

    1995-01-01T23:59:59.000Z

    A nuclear fuel bundle includes a square array of fuel rods each having a concentration of enriched uranium and plutonium. Each rod of an interior array of the rods also has a concentration of gadolinium. The interior array of rods is surrounded by an exterior array of rods void of gadolinium. By this design, usage of plutonium in the nuclear reactor is enhanced.

  3. Dynamic Memory Usage Optimization using ILP and J. Ramanujam2

    E-Print Network [OSTI]

    Ramanujam, J. "Ram"

    computing field such as electronic structure calculations, and in several other contexts. We are considering sizes M like those arising in scientific computing such as electronic structure calculations [1, 2, 3Dynamic Memory Usage Optimization using ILP A. Allam1 and J. Ramanujam2 1 Electrical Engineering

  4. Transportation & Work: Exploring Car Usage and Employment Outcomes

    E-Print Network [OSTI]

    Bertini, Robert L.

    Transportation & Work: Exploring Car Usage and Employment Outcomes in the LSAL Data Field Area of 1996, or "welfare reform," attention turned to the role of transportation in job search and employment information on car ownership as well as employment history, literacy proficiency, and measures of social

  5. Exploiting Memory Usage Patterns to Improve Garbage Collections in Java

    E-Print Network [OSTI]

    Lau, Francis C.M.

    Exploiting Memory Usage Patterns to Improve Garbage Collections in Java Liangliang Tong Department Science The University of Hong Kong fcmlau@cs.hku.hk Abstract Copying-based garbage collectors It is a common belief, however, that ob- jects' survival rates are generally too low to make full use

  6. Accountable Anonymous Service Usage in Mobile Communication Systems \\Lambda

    E-Print Network [OSTI]

    Bencsth, Boldizsr

    to one particular physical location. From a technology perspective, mobile communication systems haveAccountable Anonymous Service Usage in Mobile Communication Systems \\Lambda Levente Butty of Technology CH1015 Lausanne, Switzerland fLevente.Buttyan, JeanPierre.Hubauxg@epfl.ch 23rd June 1999

  7. An Analysis of Anonymity Technology Usage Bingdong Li1

    E-Print Network [OSTI]

    Gunes, Mehmet Hadi

    criminals to hide themselves. In this paper, we provide usage and geo-location analysis of major- linkability, i.e., observers can not link an agent to a specific message or action. Equally contributing a dichotomous issue in both social life and cy- ber space. Anonymity technologies have been used for criminal

  8. FILE USAGE RECOMMENDATIONS OCTOBER 31, 2013 | PAGE: 1 AVAILABLE LOGOS

    E-Print Network [OSTI]

    Aronov, Boris

    FILE USAGE RECOMMENDATIONS OCTOBER 31, 2013 | PAGE: 1 AVAILABLE LOGOS EPS JPG PNG LONG LOGO_long_white.png STACKED LOGO engineering_stacked_color.eps engineering_stacked_color.jpg engineering O R - Recommended File Type O - Optional File Type Which file to use Logo formats are available

  9. Personalized Power Saving Profiles Generation Analyzing Smart Device Usage Patterns

    E-Print Network [OSTI]

    Gesbert, David

    Personalized Power Saving Profiles Generation Analyzing Smart Device Usage Patterns Soumya Kanti interactions of smart devices. This paper describes a client-server architecture that proposes personalized and they are sent back to the smart devices. These profiles are highly personalized since they are developed

  10. Thermal indicator for wells

    DOE Patents [OSTI]

    Gaven, Jr., Joseph V. (Oakton, VA); Bak, Chan S. (Newbury Park, CA)

    1983-01-01T23:59:59.000Z

    Minute durable plate-like thermal indicators are employed for precision measuring static and dynamic temperatures of well drilling fluids. The indicators are small enough and sufficiently durable to be circulated in the well with drilling fluids during the drilling operation. The indicators include a heat resistant indicating layer, a coacting meltable solid component and a retainer body which serves to unitize each indicator and which may carry permanent indicator identifying indicia. The indicators are recovered from the drilling fluid at ground level by known techniques.

  11. 2014-04-30 Public Meeting Agenda: Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances

    Broader source: Energy.gov [DOE]

    This document is the agenda for the Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances public meeting being held on April 30, 2014.

  12. 2014-04-30 Public Meeting Presentation Slides: Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances

    Broader source: Energy.gov [DOE]

    These documents contain slide decks presented at the Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances public meeting held on April 30, 2014.

  13. Jefferson Lab's Education web site hits new high-usage record...

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

    web site hits new high-usage record during 2003 SOL season April 2, 2003 Jefferson Lab's Science Education web site is hitting new highs in usage - on a daily basis. Just yesterday...

  14. Jefferson Lab's Education Web Site Hits New High-Usage Record...

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

    Web Site Hits New High-Usage Record April 22, 2002 Jefferson Lab's Science Education web site hit a new high in usage yesterday. In a 24-hour-period nearly 125,000 pages were...

  15. Towards sustainable material usage : time-dependent evaluation of upgrading technologies for recycling

    E-Print Network [OSTI]

    Gaustad, Gabrielle G

    2009-01-01T23:59:59.000Z

    As consumption in the US grows, so does concern about sustainable materials usage. Increasing recycling is a key component within a broad arsenal of strategies for moving towards sustainable materials usage. There are many ...

  16. Energy Department Announces $4.5 Million to Expand Usage of Alternativ...

    Energy Savers [EERE]

    4.5 Million to Expand Usage of Alternative Fuels Energy Department Announces 4.5 Million to Expand Usage of Alternative Fuels July 16, 2014 - 11:00am Addthis In support of...

  17. Residential insecticide usage in northern California homes with young XIANGMEI (MAY) WUa

    E-Print Network [OSTI]

    Leistikow, Bruce N.

    Residential insecticide usage in northern California homes with young children XIANGMEI (MAY) WUa of Health and Environment, Seoul National University, Seoul, South Korea Residential insecticide usage and August 2008. Structured telephone interviews were conducted collecting information on residential use

  18. The relationship between children's computer game usage and creativity in Korea

    E-Print Network [OSTI]

    Lee, Kyung-Sook

    2009-05-15T23:59:59.000Z

    Economic Status) affected children?s creativity scores and computer game usage. Children using computer games heavily showed significantly higher scores on the scale of Figural Originality than those with moderate usage. Highly structured activity students...

  19. Analysis of Potential Energy Saving and CO2 Emission Reduction of Home Appliances and Commercial Equipments in China

    SciTech Connect (OSTI)

    Zhou, Nan; Fridley, David; McNeill, Michael; Zheng, Nina; Letschert, Virginie; Ke, Jing; Saheb, Yamina

    2010-06-07T23:59:59.000Z

    China is now the world's largest producer and consumer of household appliances and commercial equipment. To address the growth of electricity use of the appliances, China has implemented a series of minimum energy performance standards (MEPS) for 30 appliances, and voluntary energy efficiency label for 40 products. Further, in 2005, China started a mandatory energy information label that covers 19 products to date. However, the impact of these standard and labeling programs and their savings potential has not been evaluated on a consistent basis. This research involved modeling to estimate the energy saving and CO{sub 2} emission reduction potential of the appliances standard and labeling program for products for which standards are currently in place, or under development and those proposed for development in 2010. Two scenarios that have been developed differ primarily in the pace and stringency of MEPS development. The 'Continued Improvement Scenario' (CIS) reflects the likely pace of post-2009 MEPS revisions, and the likely improvement at each revision step considering the technical limitation of the technology. The 'Best Practice Scenario' (BPS) examined the potential of an achievement of international best practice MEPS in 2014. This paper concludes that under the 'CIS' of regularly scheduled MEPS revisions to 2030, cumulative electricity consumption could be reduced by 9503 TWh, and annual CO{sub 2} emissions would be 16% lower than in the frozen efficiency scenario. Under a 'BPS' scenario for a subset of products, cumulative electricity savings would be 5450 TWh and annual CO{sub 2} emissions reduction would be 35% lower than in the frozen scenario.

  20. Analysis of Potential Energy Saving and CO2 Emission Reduction of Home Appliances and Commercial Equipments in China

    SciTech Connect (OSTI)

    Zhou, Nan; Fridley, David; McNeil, Michael; Zheng, Nina; Letschert, Virginie; Ke, Jing

    2011-04-01T23:59:59.000Z

    China has implemented a series of minimum energy performance standards (MEPS) for over 30 appliances, voluntary energy efficiency label for 40 products and a mandatory energy information label that covers 19 products to date. However, the impact of these programs and their savings potential has not been evaluated on a consistent basis. This paper uses modeling to estimate the energy saving and CO{sub 2} emission reduction potential of the appliances standard and labeling program for products for which standards are currently in place, under development or those proposed for development in 2010 under three scenarios that differ in the pace and stringency of MEPS development. In addition to a baseline 'Frozen Efficiency' scenario at 2009 MEPS level, the 'Continued Improvement Scenario' (CIS) reflects the likely pace of post-2009 MEPS revisions, and the likely improvement at each revision step. The 'Best Practice Scenario' (BPS) examined the potential of an achievement of international best practice efficiency in broad commercial use today in 2014. This paper concludes that under 'CIS', cumulative electricity consumption could be reduced by 9503 TWh, and annual CO{sub 2} emissions of energy used for all 37 products would be 16% lower than in the frozen efficiency scenario. Under a 'BPS' scenario for a subset of products, cumulative electricity savings would be 5450 TWh and annual CO{sub 2} emissions reduction of energy used for 11 appliances would be 35% lower.

  1. NATURAL GAS VARIABILITY IN CALIFORNIA: ENVIRONMENTAL IMPACTS AND DEVICE PERFORMANCE EXPERIMENTAL EVALUATION OF POLLUTANT EMISSIONS FROM RESIDENTIAL APPLIANCES

    SciTech Connect (OSTI)

    Singer, Brett C.; Apte, Michael G.; Black, Douglas R.; Hotchi, Toshifumi; Lucas, Donald; Lunden, Melissa M.; Mirer, Anna G.; Spears, Michael; Sullivan, Douglas P.

    2009-12-01T23:59:59.000Z

    The effect of liquefied natural gas on pollutant emissions was evaluated experimentally with used and new appliances in the laboratory and with appliances installed in residences, targeting information gaps from previous studies. Burner selection targeted available technologies that are projected to comprise the majority of installed appliances over the next decade. Experiments were conducted on 13 cooktop sets, 12 ovens, 5 broiler burners, 5 storage water heaters, 4 forced air furnaces, 1 wall furnace, and 6 tankless water heaters. Air-free concentrations and fuel-based emission factors were determined for carbon monoxide, nitrogen oxides, nitrogen dioxide, and the number of (predominantly ultrafine) particles over complete burns?including transient effects (device warm-up and intermittent firing of burners) following ignition--and during more stable end-of-burn conditions. Formaldehyde was measured over multi-burn cycles. The baseline fuel was Northern California line gas with Wobbe number (a measure of fuel energy delivery rate) of 1320-1340; test fuels had Wobbe numbers of roughly 1390 and 1420, and in some cases 1360. No ignition or operational problems were observed during test fuel use. Baseline emissions varied widely across and within burner groups and with burner operational mode. Statistically significant emissions changes were observed for some pollutants on some burners.

  2. Creation of Chimera Through the Usage of an Inspirational System

    E-Print Network [OSTI]

    Parish, Brandi Nicole

    2013-04-23T23:59:59.000Z

    CREATION OF CHIMERA THROUGH THE USAGE OF AN INSPIRATIONAL SYSTEM A Thesis by BRANDI NICOLE PARISH Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER... OF SCIENCE Approved by: Chair of Committee, Carol LaFayette Committee Members, Frederic Parke Kevin Glowacki Head of Department, Tim McLaughlin May 2013 Major Subject: Visualization Copyright 2013 Brandi Nicole Parish ii...

  3. Fuel bundle design for enhanced usage of plutonium fuel

    DOE Patents [OSTI]

    Reese, A.P.; Stachowski, R.E.

    1995-08-08T23:59:59.000Z

    A nuclear fuel bundle includes a square array of fuel rods each having a concentration of enriched uranium and plutonium. Each rod of an interior array of the rods also has a concentration of gadolinium. The interior array of rods is surrounded by an exterior array of rods void of gadolinium. By this design, usage of plutonium in the nuclear reactor is enhanced. 10 figs.

  4. Residential Lighting Usage Estimate Tool, v1.0

    Broader source: Energy.gov [DOE]

    By improving our understanding of residential lighting-energy usage and quantifying it across many different parameters, the new study will be of use to anyone doing energy estimates such as utilities, market and investment analysts, and government agencies. It will also help manufacturers design products that not only better serve consumers' needs, but that maximize the energy savings that technologies like SSL make possible.

  5. SUPPORT VECTOR CLUSTERING FOR WEB USAGE MINING WEI SHUNG CHUNG

    E-Print Network [OSTI]

    Gruenwald, Le

    is to present a comparison study of SVC and K- means for Web usage data mining using real-life Web logs. (http://www.hippocrates.ouhsc.edu) We chose K-means for comparison because it is a widely used algorithm for clustering. (Shahabi et al. Section 2 describes SVC and K-means. Section 3 and 4 present the comparison studies and experimental

  6. Central Puget Sound freeway network usage and performance. Research report

    SciTech Connect (OSTI)

    Ishimaru, J.M.; Hallenbeck, M.E.

    1999-03-01T23:59:59.000Z

    The summary report presents an overview of the level of traveler usage (e.g., how many vehicles use the freeways) and travel performance (e.g., how fast they are traveling, where and how often congestion occurs) on the principal urban freeways in the central Puget Sound area for 1997. Data presented in this report were collected by the Washington State Department of Transportation`s (WDSOT`s) freeway surveillance system.

  7. Proper Usage of Drugs and Chemicals in Food Animals

    E-Print Network [OSTI]

    Faries Jr., Floron C.

    2002-02-15T23:59:59.000Z

    Federal regulations exist to ensure the proper distribution and usage of veterinary drugs and to prevent adulteration of the food supply with illegal drug residues through drug misuse in food produc- ing animals. The Food and Drug Administration... of omission or commission, violative residues in livestock and poultry (by irresponsible and illegal distribution and use of drugs) violates state and federal laws. When FSIS inspectors detect violative drug residues in food products derived from ani- mals...

  8. HPC Usage Behavior Analysis and Performance Estimation with Machine Learning Techniques

    SciTech Connect (OSTI)

    Zhang, Hao [ORNL; You, Haihang [ORNL; Hadri, Bilel [ORNL; Fahey, Mark R [ORNL

    2012-01-01T23:59:59.000Z

    Most researchers with little high performance computing (HPC) experience have difficulties productively using the supercomputing resources. To address this issue, we investigated usage behaviors of the world s fastest academic Kraken supercomputer, and built a knowledge-based recommendation system to improve user productivity. Six clustering techniques, along with three cluster validation measures, were implemented to investigate the underlying patterns of usage behaviors. Besides manually defining a category for very large job submissions, six behavior categories were identified, which cleanly separated the data intensive jobs and computational intensive jobs. Then, job statistics of each behavior category were used to develop a knowledge-based recommendation system that can provide users with instructions about choosing appropriate software packages, setting job parameter values, and estimating job queuing time and runtime. Experiments were conducted to evaluate the performance of the proposed recommendation system, which included 127 job submissions by users from different research fields. Great feedback indicated the usefulness of the provided information. The average runtime estimation accuracy of 64.2%, with 28.9% job termination rate, was achieved in the experiments, which almost doubled the average accuracy in the Kraken dataset.

  9. Adopted Version 1 Georgia Tech's "BuzzPort" Portal Usage Policy

    E-Print Network [OSTI]

    Li, Mo

    Adopted Version 1 Georgia Tech's "BuzzPort" Portal Usage Policy v. 7.1 1.0 PURPOSE This Policy are highly valued and sensitive Institute resources. This Policy establishes an acceptable usage framework.0 SCOPE This Policy applies to all authorized BuzzPort usage from any location at all times

  10. Session Lengths and IP Address Usage of Smartphones in a University Campus WiFi

    E-Print Network [OSTI]

    Wang, Bing

    to laptops and desktop PCs, network usage characteristics of smartphones may differ significantly becauseSession Lengths and IP Address Usage of Smartphones in a University Campus WiFi Network be used more opportunistically. In this paper, we study two important network usage characteristics

  11. Results of Comparing Bandwidth Usage and Latency: Service Location Protocol and Jini

    E-Print Network [OSTI]

    Barbeau, Michel

    Results of Comparing Bandwidth Usage and Latency: Service Location Protocol and Jini Javier Govea. This paper focuses on analyzing and evaluating two of these limitations, bandwidth usage and latency, of two present the results of our bandwidth usage analysis and the results a comparison of latency of SLP

  12. Red Storm usage model :Version 1.12.

    SciTech Connect (OSTI)

    Jefferson, Karen L.; Sturtevant, Judith E.

    2005-12-01T23:59:59.000Z

    Red Storm is an Advanced Simulation and Computing (ASC) funded massively parallel supercomputer located at Sandia National Laboratories (SNL). The Red Storm Usage Model (RSUM) documents the capabilities and the environment provided for the FY05 Tri-Lab Level II Limited Availability Red Storm User Environment Milestone and the FY05 SNL Level II Limited Availability Red Storm Platform Milestone. This document describes specific capabilities, tools, and procedures to support both local and remote users. The model is focused on the needs of the ASC user working in the secure computing environments at Los Alamos National Laboratory (LANL), Lawrence Livermore National Laboratory (LLNL), and SNL. Additionally, the Red Storm Usage Model maps the provided capabilities to the Tri-Lab ASC Computing Environment (ACE) requirements. The ACE requirements reflect the high performance computing requirements for the ASC community and have been updated in FY05 to reflect the community's needs. For each section of the RSUM, Appendix I maps the ACE requirements to the Limited Availability User Environment capabilities and includes a description of ACE requirements met and those requirements that are not met in that particular section. The Red Storm Usage Model, along with the ACE mappings, has been issued and vetted throughout the Tri-Lab community.

  13. Impacts of China's Current Appliance Standards and LabelingProgram to 2020

    SciTech Connect (OSTI)

    Fridley, David; Aden, Nathaniel; Zhou, Nan; Lin, Jiang

    2007-03-03T23:59:59.000Z

    The report summarizes the history and nature of China sstandardsand labeling program in the Introduction in Section 1. Trends indomestic production, exports, penetration rates, unit energy consumptionand the history of S&L technical levels by product are discussed ingreat detail in Section 2. The national energy impactsanalysis found inSection 3 concludes that overall China s standards and labeling programsreduce total electricity consumption in 2020 by an annual 106 TWh, or 16percent of what would otherwise been expected in that year in the absenceof standards and labeling programs.In total, the report concludes thatthe S&L programs currently in place in China are expected to save acumulative 1143 TWh by 2020, or 9 percent of the cumulative consumptionof residential electricity to that year. In 2020 alone, annual savingsare expected to be equivalent to 11 percent of residential electricityuse. In average generation terms, this is equivalent to 27 1-GW coalfired plants that would have required around 75 million tonnes of coal tooperate.In comparison, savings from the US appliance standards programalone is expected to save 10 percent of residential electricityconsumption in 2020.

  14. State Energy-Efficienct Appliance Rebate Program: Volume 2 - Program Results

    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&MAnnouncement2-002 StateState

  15. A PRACTICAL ONTOLOGY FOR THE LARGE-SCALE MODELING OF SCHOLARLY ARTIFACTS AND THEIR USAGE

    SciTech Connect (OSTI)

    RODRIGUEZ, MARKO A. [Los Alamos National Laboratory; BOLLEN, JOHAN [Los Alamos National Laboratory; VAN DE SOMPEL, HERBERT [Los Alamos National Laboratory

    2007-01-30T23:59:59.000Z

    The large-scale analysis of scholarly artifact usage is constrained primarily by current practices in usage data archiving, privacy issues concerned with the dissemination of usage data, and the lack of a practical ontology for modeling the usage domain. As a remedy to the third constraint, this article presents a scholarly ontology that was engineered to represent those classes for which large-scale bibliographic and usage data exists, supports usage research, and whose instantiation is scalable to the order of 50 million articles along with their associated artifacts (e.g. authors and journals) and an accompanying 1 billion usage events. The real world instantiation of the presented abstract ontology is a semantic network model of the scholarly community which lends the scholarly process to statistical analysis and computational support. They present the ontology, discuss its instantiation, and provide some example inference rules for calculating various scholarly artifact metrics.

  16. Opportunities for regional harmonization of appliance standards and l abeling program

    SciTech Connect (OSTI)

    McNeil, Michael A.

    2003-09-01T23:59:59.000Z

    The South Asian Regional Initiative for Energy (SARI/Energy) calls for a series of activities to promote Energy Efficiency Standards and Labeling (EES&L) of end use appliances in the region. In pursuit of this goal, the project supports several seminars and meetings that bring together policymakers and stakeholders from throughout the region. The purpose of these gatherings is to encourage a dialogue among participants as to the benefits and barriers associated with EES&L programs. In addition, it is the role of the program organizers to provide participants with the technical details necessary to make progress towards effective efficiency programs. One component of the initiative is to encourage the harmonization (alignment) of existing program components, and the pursuit of new programs coordinated at the regional level. In support of this goal, the report provides information aimed at motivating and enabling cooperative activities which will provide concrete benefits to programs in each country, whether well developed, or still in the initial planning stage. It should be emphasized that the underlying objective of the harmonization component of the SARI/Energy project is to increase the potential for success of EES&L programs of all countries involved, and to reduce burdens on manufacturers, exporters and importers in each country. Harmonization ''for it's own sake'' is not desirable, nor is it suggested that policymakers should bring their programs in line with international norms if doing so would present a disadvantage to their own efficiency programs, or to commercial interests within their country. If there is no such disadvantage, however, the program encourages alignment of policies and provides a forum at which this alignment can be pursued. The report covers several main topics, with varying emphasis. First, a general discussion of the motivation for an explicit policy of regional harmonization is given. Next, the current status of existing programs in the region are discussed in some detail. The section that follows covers the harmonization of efficiency test procedures. Special attention is given to this component of an EES&L program because it is the most critical element in terms of harmonization--having incompatible test procedures between trade partners can greatly impact the effectiveness of a program, and it can also unduly impact trade. Currently, policymakers in India and Sri Lanka are collaborating with the goal of aligning refrigerator test procedures used in their respective programs. For this reason, the section on test procedures of refrigerators goes into a significant amount of technical detail, in order to provide the clearest possible articulation of issues to be resolved in bringing the procedures into alignment. Following the discussion of test procedures, the report contains a section each on harmonization of efficiency rating levels, development of label designs, and enforcement issues. The report is organized such that the sections covering current programs and test procedures are subdivided by target appliance. These sections are further divided by country, where applicable. Each section is concluded with recommendations.

  17. Use of nanofiltration to reduce cooling tower water usage.

    SciTech Connect (OSTI)

    Sanchez, Andres L.; Everett, Randy L.; Jensen, Richard Pearson; Cappelle, Malynda A.; Altman, Susan Jeanne

    2010-09-01T23:59:59.000Z

    Nanofiltration (NF) can effectively treat cooling-tower water to reduce water consumption and maximize water usage efficiency of thermoelectric power plants. A pilot is being run to verify theoretical calculations. A side stream of water from a 900 gpm cooling tower is being treated by NF with the permeate returning to the cooling tower and the concentrate being discharged. The membrane efficiency is as high as over 50%. Salt rejection ranges from 77-97% with higher rejection for divalent ions. The pilot has demonstrated a reduction of makeup water of almost 20% and a reduction of discharge of over 50%.

  18. What can we learn from high-frequency appliance-level energy metering? Results from a field experiment

    E-Print Network [OSTI]

    Chen, VL; Delmas, MA; Kaiser, WJ; Locke, SL

    2015-01-01T23:59:59.000Z

    the International Energy Agency, the con- tinuing demand fordemand electricity usage, and that the public utilities focus on energydemand hours reinforces the importance of the public utilities' efforts to promote energy-

  19. Tamper indicating bolt

    DOE Patents [OSTI]

    Blagin, Sergei V.; Barkanov, Boris P.

    2004-09-14T23:59:59.000Z

    A tamper-indicating fastener has a cylindrical body with threads extending from one end along a portion of the body, and a tamper indicating having a transducer for converting physical properties of the body into electronic data; electronics for recording the electronic data; and means for communicating the recorded information to a remote location from said fastener. The electronics includes a capacitor that varies as a function of force applied by the fastener, and non-volatile memory for recording instances when the capacitance varies, providing an indication of unauthorized access.

  20. Accelerating the Adoption of Second-Tier Reach Standards forApplicable Appliance Products in China

    SciTech Connect (OSTI)

    Lin, Jiang; Fridley, David

    2007-03-01T23:59:59.000Z

    The minimum energy efficiency standards program for household appliances in China was initiated in 1989. Since 1996, CLASP and its implementing partner, LBNL, have assisted China in developing 11 minimum energy performance standards (MEPS) for 9 products and endorsement labels for 11 products including: refrigerators; air conditioners; clothes washers; televisions; printers; computers; monitors; fax machines; copiers; DVD/VCD players; external power supplies; and set-top boxes (under development). Before 2003, China's traditional approach to standards development involved small increases in efficiency requirements for implementation within 6 months of a standard's approval. Since 2003, China has adopted a new approach in setting MEPS. This new approach involves the development of two tiers of standards--one for initial implementation and a second tier at a more aggressive level of energy efficiency for implementation three to five years later. The second-tier standard is also referred to as a 'reach standard'. Reach standards have now been developed in China for: color TVs; refrigerators; air conditioners; and external power supplies. This report is presented in five sections. After the introduction in Section 1, Section 2 analyzes the distribution of the efficiency of refrigerators and air-conditioners in China based on data collected by the China Energy Label Center for the mandatory energy information label program. The results provide an assessment of the adoption of reach standards for these two products. Section 3 summarizes on-going collaborations with Shanghai related to early local adoption of reach standards, and presents both the impact and an analysis of barriers to the local adoption of reach standard for air-conditioners. Section 4 offers suggestions for local governments on how to move forward in adopting reach standards in their localities and concludes with a summary of the results and a plan for developing local capacity in order to achieve success in adopting reach standards.

  1. Max Tech Appliance Design: Potential for Maximizing U.S. Energy Savings through Standards

    SciTech Connect (OSTI)

    Garbesi, Karina; Desroches, Louis-Benoit; Bolduc, Christopher; Burch, Gabriel; Hosseinzadeh, Griffin; Saltiel, Seth

    2011-05-06T23:59:59.000Z

    This study surveyed the technical potential for efficiency improvements in 150 categories of appliances and equipment representing 33 quads of primary energy use across the US economy in 2010 and (1) documented efficient product designs, (2) identified the most promising cross-cutting strategies, and (3) ranked national energy savings potential by end use. Savings were estimated using a method modeled after US Department of Energy priority-setting reports - simplified versions of the full technical and economic analyses performed for rulemakings. This study demonstrates that large savings are possible by replacing products at the end-of-life with ultra-efficient models that use existing technology. Replacing the 50 top energy-saving end-uses (constituting 30 quads of primary energy consumption in 2010) with today's best-on-market equivalents would save {approx}200 quads of US primary energy over 30 years (25% of consumption anticipated there from). For the 29 products for maximum feasible savings potential could be estimated, the savings were twice as high. These results demonstrate that pushing ultra-efficient products to market could significantly escalate carbon emission reductions and is a viable strategy for sustaining large emissions reductions through standards. The results of this analysis were used by DOE for new coverage prioritization, to identify key opportunities for product prototyping and market development, and will leverage future standards rulemakings by identifying the full scope of maximum feasible technology options. High leverage products include advances lighting systems, HVAC, and televisions. High leverage technologies include electronic lighting, heat pumps, variable speed motors, and a host of controls-related technologies.

  2. Realized and Projected Impacts of U.S. Energy Efficiency Standards for Residential and Commercial Appliances

    SciTech Connect (OSTI)

    Meyers, Stephen P.; McMahon, James; Atkinson, Barbara

    2008-05-08T23:59:59.000Z

    This study estimated energy, environmental and consumer economic impacts of U.S. Federal residential energy efficiency standards that became effective in the 1988-2006 period, and of energy efficiency standards for fluorescent lamp ballasts and distribution transformers. These standards have been the subject of in-depth analyses conducted as part of DOE's standards rulemaking process. This study drew on those analyses, but updated certain data and developed a common framework and assumptions for all of the products in order to estimate realized impacts and to update projected impacts. It also performed new analysis for the first (1990) fluorescent ballast standards, which had been introduced in the NAECA legislation without a rulemaking. We estimate that the considered standards will reduce residential/ commercial primary energy consumption and carbon dioxide emissions in 2030 by 4percent compared to the levels expected without any standards. The reduction for the residential sector is larger, at 8percent. The estimated cumulative energy savings from the standards amount to 39 quads by 2020, and 63 quads by 2030. The standards will also reduce emissions of carbon dioxide by considerable amounts.The estimated cumulative net present value of consumer benefit amounts to $241 billion by 2030, and grows to $269 billion by 2045. The overall ratio of consumer benefits to costs (in present value terms) in the 1987-2050 period is 2.7 to 1. Although the estimates made in this study are subject to a fair degree of uncertainty, we believe they provide a reasonable approximation of the national benefits resulting from Federal appliance efficiency standards.

  3. A Global Review of Incentive Programs to Accelerate Energy-Efficient Appliances and Equipment

    SciTech Connect (OSTI)

    de la Rue du Can, Stephane; Phadke, Amol; Leventis, Greg; Gopal, Anand

    2013-08-01T23:59:59.000Z

    Incentive programs are an essential policy tool to move the market toward energy-efficient products. They offer a favorable complement to mandatory standards and labeling policies by accelerating the market penetration of energy-efficient products above equipment standard requirements and by preparing the market for increased future mandatory requirements. They sway purchase decisions and in some cases production decisions and retail stocking decisions toward energy-efficient products. Incentive programs are structured according to their regulatory environment, the way they are financed, by how the incentive is targeted, and by who administers them. This report categorizes the main elements of incentive programs, using case studies from the Major Economies Forum to illustrate their characteristics. To inform future policy and program design, it seeks to recognize design advantages and disadvantages through a qualitative overview of the variety of programs in use around the globe. Examples range from rebate programs administered by utilities under an Energy-Efficiency Resource Standards (EERS) regulatory framework (California, USA) to the distribution of Eco-Points that reward customers for buying efficient appliances under a government recovery program (Japan). We found that evaluations have demonstrated that financial incentives programs have greater impact when they target highly efficient technologies that have a small market share. We also found that the benefits and drawbacks of different program design aspects depend on the market barriers addressed, the target equipment, and the local market context and that no program design surpasses the others. The key to successful program design and implementation is a thorough understanding of the market and effective identification of the most important local factors hindering the penetration of energy-efficient technologies.

  4. "Table HC10.12 Home Electronics Usage Indicators by U.S. Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4

  5. "Table HC10.13 Lighting Usage Indicators by U.S. Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal43 Lighting

  6. "Table HC10.5 Space Heating Usage Indicators by U.S. Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal43

  7. "Table HC10.7 Air-Conditioning Usage Indicators by U.S. Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436 Air7

  8. "Table HC11.12 Home Electronics Usage Indicators by Northeast Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362 Home

  9. "Table HC11.5 Space Heating Usage Indicators by Northeast Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362 Home3245

  10. "Table HC11.7 Air-Conditioning Usage Indicators by Northeast Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal43627

  11. "Table HC12.12 Home Electronics Usage Indicators by Midwest Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362780

  12. "Table HC12.5 Space Heating Usage Indicators by Midwest Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal43627803245

  13. "Table HC12.7 Air-Conditioning Usage Indicators by Midwest Census Region, 2005"

    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,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362780324567

  14. "Table HC4.12 Home Electronics Usage Indicators by Renter-Occupied Housing Unit, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home Electronics

  15. "Table HC4.13 Lighting Usage Indicators by Renter-Occupied Housing Unit Zone, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home Electronics3

  16. "Table HC4.5 Space Heating Usage Indicators by Renter-Occupied Housing Unit, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home Electronics3245

  17. "Table HC4.7 Air-Conditioning Usage Indicators by Renter-Occupied Housing Unit, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home

  18. "Table HC8.12 Home Electronics Usage Indicators by Urban/Rural Location, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home8 Water0 Home2502

  19. "Table HC8.5 Space Heating Usage Indicators by Urban/Rural Location, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home8 Water0

  20. Industrial energy use indices

    E-Print Network [OSTI]

    Hanegan, Andrew Aaron

    2008-10-10T23:59:59.000Z

    Energy use index (EUI) is an important measure of energy use which normalizes energy use by dividing by building area. Energy use indices and associated coefficients of variation are computed for major industry categories ...

  1. The methods of steam coals usage for coke production

    SciTech Connect (OSTI)

    Korobetskii, I.A.; Ismagilov, M.S.; Nazimov, S.A.; Sladkova, I.L.; Shudrikov, E.S.

    1998-07-01T23:59:59.000Z

    Nowadays, high volatile bituminous coals are broadly used for metallurgical coke production in Russia. The share of such coals in the coking blend is variable from 20 to 40% by weight. There are some large coal deposits in Kuznetskii basin which have coals with low caking tendency. The low caking properties of such coals limit of its application in the coking process. At the same time the usage of low caking coals for coke production would allow flexibility of the feedstock for coke production. Preliminary tests, carried out in COAL-C's lab has shown some differences in coal properties with dependence on the size distribution. That is why the separation of the well-caking fraction from petrographically heterogeneous coals and its further usage in coking process may be promising. Another way for low caking coals application in the coke industry is briquettes production from such coals. This method has been known for a very long time. It may be divided into two possible directions. First is a direct coking of briquettes from the low caking coals. Another way is by adding briquettes to coal blends in defined proportion and combined coking. The possibility of application of coal beneficiation methods mentioned above was investigated in present work.

  2. "Table HC15.9 Home Appliances Characteristics by Four Most Populated States, 2005"

    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,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7835258

  3. additional county-level usage: Topics by E-print Network

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

    Libraries (CUL). While Rosen, Jay 363 Mining Usage Data and Development Artifacts Olga Baysal, Reid Holmes, and Michael W. Godfrey Computer Technologies and Information...

  4. Availability, usage and expected contribution of potential nursery habitats for the California halibut

    E-Print Network [OSTI]

    Fodrie, Fredrick Joel; Mendoza, Guillermo F.

    2006-01-01T23:59:59.000Z

    of a damsel?sh re?ect availability of suitable habitat.locate/ecss Availability, usage and expected contribution ofthe spatial coverage (availability) of all potential nursery

  5. A Decision-Based Analysis of Compressed Air Usage Patterns in Automotive Manufacturing

    E-Print Network [OSTI]

    Yuan, Chris; Zhang, Teresa; Rangarajan, Arvind; Dornfeld, David; Ziemba, Bill; Whitbeck, Rod

    2006-01-01T23:59:59.000Z

    Air Usage Patterns in Automotive Manufacturing Chris Y. Yuanper vehicle built from automotive manufacturing facilities,2004). Compressed Air in Automotive Manufacturing Compressed

  6. Energy and CO2 Efficient Scheduling of Smart Home Appliances Kin Cheong Sou, Mikael Kordel, Jonas Wu, Henrik Sandberg and Karl Henrik Johansson

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Energy and CO2 Efficient Scheduling of Smart Home Appliances Kin Cheong Sou, Mikael Kordel, Jonas Wu, Henrik Sandberg and Karl Henrik Johansson Abstract-- A major goal of smart grid technology (e.g., smart meters) is to provide consumers with demand response signals such as electricity tariff and CO2

  7. A Model-Based Approach to Synthesizing Insulin Infusion Pump Usage Parameters for Diabetic Patients

    E-Print Network [OSTI]

    Sankaranarayanan, Sriram

    A Model-Based Approach to Synthesizing Insulin Infusion Pump Usage Parameters for Diabetic Patients Fainekos Abstract-- We present a model-based approach to synthesiz- ing insulin infusion pump usage parameters against varying meal scenarios and physiological conditions. Insulin infusion pumps are commonly

  8. A taxonomy of virtual worlds usage in education Ishbel Duncan, Alan Miller and Shangyi Jiang

    E-Print Network [OSTI]

    St Andrews, University of

    1 A taxonomy of virtual worlds usage in education Ishbel Duncan, Alan Miller and Shangyi Jiang from around the world. A taxonomy is then derived from these articles, delineating current theoretical and practical work on Virtual World usage, specifically in the field of education. The taxonomy identifies rich

  9. Characterizing Geospatial Dynamics of Application Usage in a 3G Cellular Data Network

    E-Print Network [OSTI]

    Fisher, Kathleen

    Characterizing Geospatial Dynamics of Application Usage in a 3G Cellular Data Network M. Zubair provided the evidence that significant geospatial correla- tions, in terms of traffic volume and application access, exist in cellular network usage. Such geospatial correlation patterns provide local

  10. The User Side of Sustainability: Modeling Behavior and Energy Usage in the Home

    E-Print Network [OSTI]

    Cook, Diane J.

    The User Side of Sustainability: Modeling Behavior and Energy Usage in the Home Chao Chena, , Diane in everyday home environments to examine the relationship between behavioral patterns and energy consumption;technologies that examine energy usage in homes and to encourage energy effi- cient behaviors, in addition

  11. Clustering Educational Digital Library Usage Data: A Comparison of Latent Class Analysis and

    E-Print Network [OSTI]

    Qi, Xiaojun

    Clustering Educational Digital Library Usage Data: A Comparison of Latent Class Analysis and K-Means Analysis is superior to K-means on all three comparisons. In particular, LCA is more immune to the variance, the widely used K-means and the model-based Latent Class Analysis, are compared, using usage data from

  12. Web Usage Mining as a Tool for Personalization: a survey D. Pierrakos+

    E-Print Network [OSTI]

    Paliouras, George

    1 Web Usage Mining as a Tool for Personalization: a survey D. Pierrakos+ , G. Paliouras+ , C GREECE Abstract: This paper is a survey of recent work in the field of Web Usage Mining for the benefit of research on the personalization of Web-based information services. The essence of personalization

  13. A GeneralizationBased Approach to Clustering of Web Usage Sessions

    E-Print Network [OSTI]

    Fu, Yongjian

    A GeneralizationBased Approach to Clustering of Web Usage Sessions Yongjian Fu, Kanwalpreet Sandhu,ksandhu,mingyig@umr.edu Abstract. The clustering of Web usage sessions based on the access patterns is studied. Access patterns of Web users are extracted from Web server log files, and then organized into sessions which represent

  14. Water usage dropping on campus, but UT hopes to lower it more

    E-Print Network [OSTI]

    Johnston, Daniel

    Water usage dropping on campus, but UT hopes to lower it more Photo Credit: Zachary Strain | Daily six years, UT has worked to decrease its water usage, but the University still has a ways to go if it the University was using one billion gallons of water per year. Across buildings, irrigation, chilling stations

  15. The Comparison of Usage and Availability Measurements for Evaluating Resource Douglas H. Johnson

    E-Print Network [OSTI]

    Steury, Todd D.

    The Comparison of Usage and Availability Measurements for Evaluating Resource Preference Douglas H and Conditions of Use, available at http://www.jstor.org/about/terms.html. JSTOR's Terms and Conditions of Use~etyof Amenca THE COMPARISON OF USAGE AND AVAILABILITY MEASUREMENTS FOR EVALUATING RESOURCE PREFERENCE1

  16. Modeling the Performance and the Energy Usage of Wireless Sensor Networks by Retrial Queueing Systems

    E-Print Network [OSTI]

    Sztrik, János

    Modeling the Performance and the Energy Usage of Wireless Sensor Networks by Retrial Queueing and the energy usage of the sensor network. Two operations are compared. In the first case only the event driven requests can initiate reaching the radio trans- mission (RF) unit. Time driven requests have to wait

  17. Usage Patterns of the Java Standard API Homan Ma, Robert Amor, Ewan Tempero

    E-Print Network [OSTI]

    Amor, Robert

    Usage Patterns of the Java Standard API Homan Ma, Robert Amor, Ewan Tempero Department of Computer,ewan}@cs.auckland.ac.nz Abstract The Java Standard API has grown enormously since Java's be- ginnings, now consisting of over 3 to help determine the "typical" usage of the Standard API. We find that, in an extensive corpus of open

  18. Usage Management in Cloud Computing Pramod A. Jamkhedkar, Christopher C. Lamb, Gregory L. Heileman

    E-Print Network [OSTI]

    Heileman, Gregory L.

    Usage Management in Cloud Computing Pramod A. Jamkhedkar, Christopher C. Lamb, Gregory L. Heileman will gain increasing importance as cloud computing becomes more pervasive. Existing service level agreement. This paper introduces the notion and importance of usage management in cloud computing. It provides

  19. A Look At Steam Usage in William's Athletic Facilities Patrick Morrissey

    E-Print Network [OSTI]

    Aalberts, Daniel P.

    A Look At Steam Usage in William's Athletic Facilities Patrick Morrissey Geosciences 206 Final Project Professor Dethier May 18, 2010 #12;Introduction: This paper will examine steam usage trends that Towne FH and Lansing Chapman both draw their steam from an enclosed loop heating system.23

  20. Energy-Efficiency Labels and Standards: A Guidebook forAppliances, Equipment, and Lighting - 2nd Edition

    SciTech Connect (OSTI)

    Wiel, Stephen; McMahon, James E.

    2005-04-28T23:59:59.000Z

    Energy-performance improvements in consumer products are an essential element in any government's portfolio of energy-efficiency and climate change mitigation programs. Governments need to develop balanced programs, both voluntary and regulatory, that remove cost-ineffective, energy-wasting products from the marketplace and stimulate the development of cost-effective, energy-efficient technology. Energy-efficiency labels and standards for appliances, equipment, and lighting products deserve to be among the first policy tools considered by a country's energy policy makers. The U.S. Agency for International Development (USAID) and several other organizations identified on the cover of this guidebook recognize the need to support policy makers in their efforts to implement energy-efficiency standards and labeling programs and have developed this guidebook, together with the Collaborative Labeling and Appliance Standards Program (CLASP), as a primary reference. This second edition of the guidebook was prepared over the course of the past year, four years after the preparation of the first edition, with a significant contribution from the authors and reviewers mentioned previously. Their diligent participation helps maintain this book as the international guidance tool it has become. The lead authors would like to thank the members of the Communications Office of the Environmental Energy Technologies Division, Lawrence Berkeley National Laboratory for their support in the development, production, and distribution of the guidebook. This guidebook is designed as a manual for government officials and others around the world responsible for developing, implementing, enforcing, monitoring, and maintaining labeling and standards setting programs. It discusses the pros and cons of adopting energy-efficiency labels and standards and describes the data, facilities, and institutional and human resources needed for these programs. It provides guidance on the design, development, implementation, maintenance, and evaluation of the programs and on the design of the labels and standards themselves. In addition, it directs the reader to references and other resources likely to be useful in conducting the activities described and includes a chapter on energy policies and programs that complement appliance efficiency labels and standards. This guidebook attempts to reflect the essential framework of labeling and standards programs. It is the intent of the authors and sponsor to distribute copies of this book worldwide, at no charge, for the general public benefit. The guidebook is also available on the web at www.clasponline.org and may be downloaded to be used intact or piecemeal for whatever beneficial purposes readers may conceive.

  1. Enhanced tamper indicator

    DOE Patents [OSTI]

    Garcia, Anthony R.; Johnston, Roger G.

    2003-07-08T23:59:59.000Z

    The present invention provides an apparatus and method whereby the reliability and tamper-resistance of tamper indicators can be improved. A flexible connector may be routed through a latch for an enclosure such as a door or container, and the free ends of the flexible connector may be passed through a first locking member and firmly attached to an insert through the use of one or more attachment members such as set screws. A second locking member may then be assembled in interlocking relation with the first locking member to form an interlocked assembly around the insert. The insert may have one or more sharp projections extending toward the first or second locking member so that any compressive force applied in an attempt to disassemble the interlocked assembly results in permanent, visible damage to the first or second locking member.

  2. Impact of Natural Gas Appliances on Pollutant Levels in California Homes

    E-Print Network [OSTI]

    Mullen, Nasim A.

    2014-01-01T23:59:59.000Z

    used to power your water heater? a. Natural Gas b. Propaneranges, furnaces and water heaters. The most common gasof gas heaters or water heaters within the home (indicating

  3. Refrigerator Efficiency in Ghana: Tailoring an appliance market transformation program design for Africa

    E-Print Network [OSTI]

    Ben Hagan, Essel; Van Buskirk, Robert; Ofosu-Ahenkorah, Alfred; McNeil, Michael A.

    2006-01-01T23:59:59.000Z

    households fall into which rate category, and on this based calculated a weighted average marginal price of electricityhousehold in 2001 (EIA, 2005a). Recent data from Ghana indicates that the average marginal price of electricity (

  4. Figure 1. HomeWindow showing the energy usage of several monitors, displays, and computers with colored

    E-Print Network [OSTI]

    Greenberg, Saul

    Figure 1. HomeWindow showing the energy usage of several monitors, displays, and computers with colored auras. Red is high usage while green is low usage. HomeWindow: An Augmented Reality Domestic that reflects its current and historical energy use. Categories and Subject Descriptors H.5.2 [Information

  5. Woodfuel Usage Update 1 I Wood fuel use in Scotland 2011 I Hudson Consulting I September 2011

    E-Print Network [OSTI]

    energy sectors of the Scottish market) to 30 December 2010. The information gained from the study is usedWoodfuel Usage Update 1 I Wood fuel use in Scotland 2011 I Hudson Consulting I September 2011 Woodfuel Demand and Usage in Scotland Report 2011 #12;Woodfuel Usage Update 2 I Wood fuel use in Scotland

  6. FIELD TEST OF THE FLAME QUALITY INDICATOR

    SciTech Connect (OSTI)

    Andrew M. Rudin; Thomas Butcher; Henry Troost

    2003-02-04T23:59:59.000Z

    The flame quality indicator concept was developed at BNL specifically to monitor the brightness of the flame in a small oil burner and to provide a ''call for service'' notification when the brightness has changed from its setpoint, either high or low. In prior development work BNL has explored the response of this system to operational upsets such as excess air changes, fouled atomizer nozzles, poor fuel quality, etc. Insight Technologies, Inc. and Honeywell, Inc. have licensed this technology from the U.S. Department of Energy and have been cooperating to develop product offerings which meet industry needs with an optimal combination of function and price. Honeywell has recently completed the development of the Flame Quality Monitor (FQM or Honeywell QS7100F). This is a small module which connects via a serial cable to the burners primary operating control. Primary advantages of this approach are simplicity, cost, and ease of installation. Call-for-service conditions are output in the form of front panel indicator lights and contact closure which can trigger a range of external communication options. Under this project a field test was conducted of the FQM in cooperation with service organizations in Virginia, Pennsylvania, New Jersey, New York, and Connecticut. At total of 83 field sites were included. At each site the FQM was installed in parallel with another embodiment of this concept--the Insight AFQI. The AFQI incorporates a modem and provides the ability to provide detailed information on the trends in the flame quality over the course of the two year test period. The test site population was comprised of 79.5% boilers, 13.7% warm air furnaces, and 6.8% water heaters. Nearly all were of residential size--with firing rates ranging from 0.6 gallons of oil per hour to 1.25. During the course of the test program the monitoring equipment successfully identified problems including: plugged fuel lines, fouled nozzles, collapsed combustion chambers, and poor fuel pump cut-off. Service organizations can use these early indications to reduce problems and service costs. There were also some ''call-for-service'' indications for which problems were not identified. The test program also showed that monitoring of the flame can provide information on burner run times and this can be used to estimate current oversize factors and to determine actual fuel usage, enabling more efficient fuel delivery procedures.

  7. HIV Co-receptor Usage in HIV-related Non-Hodgkin's Lymphoma

    E-Print Network [OSTI]

    Reid, Erin; Morris, Sheldon R

    2012-01-01T23:59:59.000Z

    receptor usage, CCR5 CXCR4, SDF-1 Introduction Highly activewith SNP analysis for the SDF 1-3A polymorphism (Appliedsamples were testing for the SDF polymorphism and four were

  8. PERSPECTIVES AND USAGE OF TECHNOLOGY OF ARABIC LANGUAGE TEACHERS IN THE UNITED ARAB EMIRATES

    E-Print Network [OSTI]

    ALhumaid, Khadija Farhan

    2014-05-31T23:59:59.000Z

    Abstract This study examined the perspectives and usage of technology by Arabic language teachers' in various schools all across The United Arab Emirates. Barriers to integrating technology were closely examined. Dimensions investigated included...

  9. Commercial Building Tenant Energy Usage Data Aggregation and Privacy: Technical Appendix

    SciTech Connect (OSTI)

    Livingston, Olga V.; Pulsipher, Trenton C.; Anderson, David M.

    2014-11-12T23:59:59.000Z

    This technical appendix accompanies report PNNL23786 Commercial Building Tenant Energy Usage Data Aggregation and Privacy. The objective is to provide background information on the methods utilized in the statistical analysis of the aggregation thresholds.

  10. RECS Fuel Oil Usage Form_v1 (Draft).xps

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

    fuel oil usage for this delivery address between September 2008 and April 2010. Delivery Number Enter the Delivery Date for each delivery 1 2 3 4 5 6 7 8 9 10 Enter the Total...

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

    E-Print Network [OSTI]

    Mandelbaum, Andrew (Andrew Joseph)

    2014-01-01T23:59:59.000Z

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

  12. April 30 Public Meeting: Physical Characterization of Smart and Grid-Connected Commercial and Residential Building End-Use Equipment and Appliances

    Broader source: Energy.gov [DOE]

    These documents contain slide decks presented at the Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances public meeting held on April 30, 2014. The first document includes the first presentation from the meeting: DOE Vision and Objectives. The second document includes all other presentations from the meeting: Terminology and Definitions; End-User and Grid Services; Physical Characterization Framework; Value, Benefits & Metrics.

  13. Polymethylmethacrylate blocking trays. The effects of repeated usage

    SciTech Connect (OSTI)

    Biggs, P.J.

    1983-10-01T23:59:59.000Z

    Sheets of polymethylmethacrylate (Lucite), which are commonly used to hold low-melting-point alloy blocks for radiation therapy treatments, are frequently recycled; subsequently, they generally contain a substantial number of holes. Experiments which have been performed to measure the deflection of these plates under a load indicate that, even with many holes drilled through the plates, their strength is not diminished significantly.

  14. Operating Costs Estimates Cost Indices

    E-Print Network [OSTI]

    Boisvert, Jeff

    to update costs of specific equipment, raw material or labor or CAPEX and OPEX of entire plants Cost Indices

  15. Vanadylporphyrins, indicators of kerogen breakdown and generation of petroleum

    SciTech Connect (OSTI)

    Sundararaman, P. (Chevron Oil Field Research Company, La Habra, CA (USA)); Biggs, W.R.; Reynolds, J.G.; Fetzer, J.C. (Chevron Research Company, Richmond, CA (USA))

    1988-09-01T23:59:59.000Z

    Attempts at understanding the transformation of organic material into fossil fuels often relies on biomarkers, organic compounds present in the geological record that can be related to naturally-occurring molecules from specific organisms. While porphyrins were the first biomarkers identified in fossil fuels, no significant use has been made of them in geochemical correlation studies. The authors believe that one limitation to their usage has been inaccurate models proposed for the fate of porphyrins during catagenesis. Using laboratory pyrolysis experiments they show that the changes observed in vanadylporphyrin distribution during catagenesis is due to increasing dilution of preexisting DPEP vanadylporphyrins by ETIO vanadylporphyrins released from kerogen. In conjunction with a quantitative expression describing the change in vanadylporphyrin distribution during maturation called the Porphyrin Maturity Parameter (PMP), a basis is now provided for the use of vanadylprophyrins as indicators of onset of petroleum generation.

  16. Heavy-duty truck population, activity and usage patterns. Final report

    SciTech Connect (OSTI)

    Fischer, M.

    1998-07-01T23:59:59.000Z

    The objective of the study was to update the heavy-duty truck (HDT) population, activity (e.g., vehicle miles traveled (VMT), numbers of starts and trips, trip duration, etc.), and usage patterns type of service/business (e.g., delivery, construction, etc.), area of operation (i.e., local, short-haul, long-haul) for HDT`s registered and/or operated in California. The population and activity estimates were done on a weight-class-specific basis light-heavy-duty, medium-heavy-duty and heavy-heavy-duty. Population, activity and usage estimates were based primarily on Department of Motor Vehicles (DMV) registration data and Truck Inventory and Usage Survey (TIUS) data. In addition to the analysis of existing data (i.e., DMV and TIUS), 42 HDTs were fitted with on-board data loggers that recorded numbers of trips and starts, daily VMT and travel by time-of-day.

  17. A High-Fidelity Energy Monitoring and Feedback Architecture for Reducing Electrical Consumption in Buildings

    E-Print Network [OSTI]

    Jiang, Xiaofan

    2010-01-01T23:59:59.000Z

    Idle Laptop Figure 9.4: Aggregated energy usage by applianceenergy usage based on the appliance types, such CHAPTER 8. FEEDBACK as desktops, laptops,

  18. Combustion Safety for Appliances Using Indoor Air (Fact Sheet), Building America Case Study: Technology Solutions for New and Existing Homes, Building Technologies Office (BTO)

    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 platformBuildingCoal Combustion ProductsCombustion Safety for Appliances Using

  19. Energy Efficiency Indicators Methodology Booklet

    SciTech Connect (OSTI)

    Sathaye, Jayant; Price, Lynn; McNeil, Michael; de la rue du Can, Stephane

    2010-05-01T23:59:59.000Z

    This Methodology Booklet provides a comprehensive review and methodology guiding principles for constructing energy efficiency indicators, with illustrative examples of application to individual countries. It reviews work done by international agencies and national government in constructing meaningful energy efficiency indicators that help policy makers to assess changes in energy efficiency over time. Building on past OECD experience and best practices, and the knowledge of these countries' institutions, relevant sources of information to construct an energy indicator database are identified. A framework based on levels of hierarchy of indicators -- spanning from aggregate, macro level to disaggregated end-use level metrics -- is presented to help shape the understanding of assessing energy efficiency. In each sector of activity: industry, commercial, residential, agriculture and transport, indicators are presented and recommendations to distinguish the different factors affecting energy use are highlighted. The methodology booklet addresses specifically issues that are relevant to developing indicators where activity is a major factor driving energy demand. A companion spreadsheet tool is available upon request.

  20. ON THE USAGE OF ANTENNAS IN MIMO AND MISO INTERFERENCE CHANNELS Mariam Kaynia

    E-Print Network [OSTI]

    Gesbert, David

    ON THE USAGE OF ANTENNAS IN MIMO AND MISO INTERFERENCE CHANNELS Mariam Kaynia , Andrea J. Goldsmith case of a MISO chan- nel is considered, where exact expressions for the ergodic capac- ity of the capacity of a MISO broadcast channel with a random beamformer is derived. However, the impact

  1. Optimal Power Procurement and Demand Response with Quality-of-Usage Guarantees

    E-Print Network [OSTI]

    Huang, Longbo

    1 Optimal Power Procurement and Demand Response with Quality-of-Usage Guarantees Longbo Huang, Jean the utility company to jointly perform power procurement and demand response so as to maximize the social are the inte- gration of renewable energy technologies [1] and the design of efficient user demand-response

  2. Semantic Analysis of Web Site Audience by Integrating Web Usage Mining and Web

    E-Print Network [OSTI]

    Libre de Bruxelles, Université

    Semantic Analysis of Web Site Audience by Integrating Web Usage Mining and Web Content Mining Jean://www.jrc.it/langtech Abstract. With the emergence of the World Wide Web, analyzing and improving Web communication has become essential to adapt the Web content to the visitors' expectations. Web communication analysis

  3. The TFRC protocol and its usage for wireless video transmission Christos Bouras1,2

    E-Print Network [OSTI]

    Bouras, Christos

    ) protocol in the area of efficient wireless video transmission and its possible usage in cross-layer power-layer approaches for adaptation of the power transmission level of the sender and TFRC feedback information, and therefore user experience, without unnecessary power consumption. INTRODUCTION Networking complexity has led

  4. ATTRIBUTE MUTABILITY IN USAGE CONTROL Jaehong Park, Xinwen Zhang, and Ravi Sandhu

    E-Print Network [OSTI]

    Sandhu, Ravi

    modern access control systems. Al- though the UCON study has been inspired largely from digital rights only by administrative actions. However, in modern information systems these attributes are often and modern access control policies. 1. Introduction The notion of usage control has been introduced recently

  5. Navy Leadership Disturbed by "Spice" Usage Rise Navy leaders are expressing alarm at recent statistics that

    E-Print Network [OSTI]

    Navy Leadership Disturbed by "Spice" Usage Rise Navy leaders are expressing alarm at recent, mimicking the chemical compounds found in the drug. These products are banned for Navy personnel (NAVADMIN) 108/10 in March 2010, which reemphasized the Navy's drug policy, the U.S. Navy has been

  6. REGULATION POLITIQUE ET REGULATION D'USAGE DANS LE TEMPS DE TRAVAIL1

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    1 REGULATION POLITIQUE ET REGULATION D'USAGE DANS LE TEMPS DE TRAVAIL1 : par G. de Terssac, J REGULATION AND REGULATION OF USE OVER WORKING TIME In this paper we discuss social regulations as defined by Reynaud (1999). These regulations, in our case (working)-time regulations, are multiple. Their combination

  7. Instructions for CEC-1250E-4 Biomass and Fossil Fuel Usage Report for Biomass Facilities

    E-Print Network [OSTI]

    Instructions for CEC-1250E-4 Biomass and Fossil Fuel Usage Report for Biomass Facilities Biomass energy input basis in the upcoming calendar year? - Please check "yes" or "no." 12. Types of Biomass Fuel Used - Please report the quantity and supplier of the following types of biomass fuel used

  8. The Portable Extensible Toolkit for Scientific computing Day 1: Usage and Algorithms

    E-Print Network [OSTI]

    The Portable Extensible Toolkit for Scientific computing Day 1: Usage and Algorithms Jed Brown CSCS runs performantly on a laptop No iPhone support Jed Brown (ETH Zrich) PETSc day 1 CSCS 2010-05-10 5) Same code runs performantly on a laptop No iPhone support Jed Brown (ETH Zrich) PETSc day 1 CSCS

  9. Somniloquy: Augmenting Network Interfaces to Reduce PC Energy Usage Yuvraj Agarwal

    E-Print Network [OSTI]

    Zhou, Yuanyuan

    Somniloquy: Augmenting Network Interfaces to Reduce PC Energy Usage Yuvraj Agarwal , Steve Hodges@cs.ucsd.edu Abstract Reducing the energy consumption of PCs is becoming in- creasingly important with rising energy costs and environmen- tal concerns. Sleep states such as S3 (suspend to RAM) save energy, but are often

  10. Lifestyle studies Market demand Usage patterns Funding: Calif. Energy Commission, BMW, Calif. ARB, ECOtality

    E-Print Network [OSTI]

    California at Davis, University of

    as much energy as it consumes. When done in 2014, the 130-acre UC Davis West Village will be home to 3Consumers Lifestyle studies · Market demand · Usage patterns Funding: Calif. Energy Commission, BMW operation · Energy savings Funding: Chrysler, US Dept of Energy Lead researcher: Kevin Nesbitt, Ph

  11. Mining Usage Data and Development Artifacts Olga Baysal, Reid Holmes, and Michael W. Godfrey

    E-Print Network [OSTI]

    Godfrey, Michael W.

    Mining Usage Data and Development Artifacts Olga Baysal, Reid Holmes, and Michael W. Godfrey Software Architecture Group (SWAG) David R. Cheriton School of Computer Science, University of Waterloo {obaysal, rtholmes, migod}@uwaterloo.ca Abstract--Software repository mining techniques generally focus

  12. UDP: Usage-based Dynamic Pricing with Privacy Preservation for Smart Grid

    E-Print Network [OSTI]

    Shen, Xuemin "Sherman"

    overhead, we introduce distributed community gateways as proxies of the utility company to timely respond are managed adaptively to meet the electricity generation and distribution capabilities at any time be optimally utilized in real time. In this paper, we propose a usage-based dynamic pricing (UDP) scheme

  13. Impact of Liquefied Natural Gas usage and payload size on Hybrid Wing Body aircraft fuel efficiency

    E-Print Network [OSTI]

    Mody, Pritesh (Pritesh Chetan)

    2010-01-01T23:59:59.000Z

    This work assessed Hybrid Wing Body (HWB) aircraft in the context of Liquefied Natural Gas (LNG) fuel usage and payload/range scalability at three scales: H1 (B737), H2 (B787) and H3 (B777). The aircraft were optimized for ...

  14. ADAPTIVE WEB SITES BY WEB USAGE MINING Yongjian Fu Mario Creado MingYi Shih

    E-Print Network [OSTI]

    Fu, Yongjian

    ADAPTIVE WEB SITES BY WEB USAGE MINING Yongjian Fu Mario Creado MingYi Shih Department of Computer An approach for reorganizing a Web site based on user access patterns is proposed. The Web server's log files and the Web pages on the site are first preprocessed to obtain the access statistics of the Web pages

  15. Mobile Application and Device Power Usage Measurements1,2 Rahul Murmuria, Jeffrey Medsger, Angelos Stavrou

    E-Print Network [OSTI]

    Stavrou, Angelos

    by the operating system's power-management module. We present the models capability to further calculate the powerMobile Application and Device Power Usage Measurements1,2 Rahul Murmuria, Jeffrey Medsger, Angelos Gaithersburg, MD 20899 Email:jeff.voas@nist.gov Abstract--Reducing power consumption has become a cru- cial

  16. A Large-scale Study on Predicting and Contextualizing Building Energy Usage J. Zico Kolter

    E-Print Network [OSTI]

    Kolter, J. Zico

    fuels (Multiple 2009). In the United States, 41% of all energy is consumed in residential and commercial people with feedback about their energy use can itself produce behavior changes that significantly reduce the value of normative energy feedback, showing users how their usage relates to that of their peers

  17. Improving API Documentation Using API Usage Information Jeffrey Stylos, Andrew Faulring, Zizhuang Yang, Brad A. Myers

    E-Print Network [OSTI]

    Matsuda, Noboru

    than with standard Javadoc. 1. Introduction An Application Programming Interface (API) is the userImproving API Documentation Using API Usage Information Jeffrey Stylos, Andrew Faulring, Zizhuang://www.cs.cmu.edu/~jadeite Abstract Jadeite is a new Javadoc-like API documentation system that takes advantage of multiple users

  18. A Graph-based Approach to API Usage Adaptation Hoan Anh Nguyen,1a

    E-Print Network [OSTI]

    Kim, Miryung

    to accommodate new feature requests, to fix bugs, and to meet new standards, changes in API declarationsA Graph-based Approach to API Usage Adaptation Hoan Anh Nguyen,1a Tung Thanh Nguyen,1b Gary Wilson standards, the clients of software libraries often need to make correspond- ing changes to correctly use

  19. The OffPAD: Requirements and Usage Kent Are Varmedal1

    E-Print Network [OSTI]

    Boyer, Edmond

    The OffPAD: Requirements and Usage Kent Are Varmedal1 , Henning Klevjer1 , Joakim Hovlandsvag1 by descriptions of different applications that can be implemented with contemporary technology. Finally platform". This certainly provides great flexibility and support for many new business models, but it also

  20. Supporting Mobile Service Usage through Physical Mobile Interaction Gregor Broll1

    E-Print Network [OSTI]

    Service technology and Physical Mobile Interaction. This interaction paradigm uses mobile devicesSupporting Mobile Service Usage through Physical Mobile Interaction Gregor Broll1 , Sven Siorpaes1 albrecht.schmidt@ifi.lmu.de Abstract Although mobile services can be used ubiquitously, their employment

  1. Promiscuous Usage of Nucleotides by the DNA Helicase of Bacteriophage T7

    E-Print Network [OSTI]

    Richardson, Charles C.

    Promiscuous Usage of Nucleotides by the DNA Helicase of Bacteriophage T7 DETERMINANTS OF NUCLEOTIDE activity. Very little is known regarding the architecture of the nucleotide binding site in determining nucleotide specificity. Crystal structures of the T7 helicase domain with bound dATP or dTTP identified Arg

  2. Logo Standards In this guide, you will find usage standards for the

    E-Print Network [OSTI]

    Kasman, Alex

    Logo Standards #12;In this guide, you will find usage standards for the new College of Charleston logo system. This guide is provided as a supplement to the College of Charleston Brand Manual, which at http://marcomm.cofc.edu. The new logo, which combines the existing College of Charleston wordmark

  3. L'usage d'un micro-monde pour apprendre la programmation en LOGO

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    L'usage d'un micro-monde pour apprendre la programmation en LOGO Marios Xenos1 , Zacharoula difficults, en utilisant le langage LOGO pour programmer le comportement d'objets dans un contexte de permet aux lves de changer le code en LOGO pour modifier les lments graphiques et affecter le

  4. Optimisation of Fuel Usage and Steam Availability in the Power and Steam

    E-Print Network [OSTI]

    Cambridge, University of

    the medium pressure manifold (nominally operated at 14 bar), through a steam turbine that can be usedOptimisation of Fuel Usage and Steam Availability in the Power and Steam Plant of a Paper Mill KEYWORDS: Model Predictive Control, Improved Efficiency, Optimisation, Power and Steam Supply System

  5. Woodfuel Usage Update 1 I Wood fuel use in Scotland 2012 I Hudson Consulting I November 2012

    E-Print Network [OSTI]

    furnish of 150k odt/yr in 2012. 9. Including wood going for the production of pellets, usage of wood in progress 3.3. Wood fuel usage by fuel category 3.4. Pellet plants 3.5. Greenhouse gas emissions 4 to 1.073 million odt in 2014. 8. Four wood pellet manufacturing plants in Scotland used in total some

  6. Million U.S. Housing Units Total...............................

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

    13.2 1.3 3.5 3.0 3.0 2.5 Table HC9.10 Home Appliances Usage Indicators by Climate Zone, 2005 Housing Units (millions) Greater than 7,000 HDD 5,500 to 7,000 HDD 4,000...

  7. Total..........................................................

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

    1.3 3.8 Table HC7.10 Home Appliances Usage Indicators by Household Income, 2005 Below Poverty Line Eligible for Federal Assistance 1 40,000 to 59,999 60,000 to 79,999 80,000...

  8. Energy Star Appliances

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8, 2000Consumption Survey (CBECS)LaboratorySmart-Reserved-Power Sign

  9. Simplifying Tensor Polynomials with Indices

    E-Print Network [OSTI]

    A. Balfagon; X. Jaen

    1998-09-22T23:59:59.000Z

    We are presenting an algorithm capable of simplifying tensor polynomials with indices when the building tensors have index symmetry properties. These properties include simple symmetry, cyclicity and those due to the presence of partial and covariant derivatives. We are also including some examples using the Riemann tensor as a paradigm. The algorithm is part of a Mathematica package called Tools of Tensor Calculus (TTC) [web address: http://baldufa.upc.es/ttc

  10. Identifying Software Usage at HPC Centers with the Automatic Library Tracking Database

    SciTech Connect (OSTI)

    Hadri, Bilel [ORNL; Fahey, Mark R [ORNL; Jones, Nicholas A [ORNL

    2010-01-01T23:59:59.000Z

    A library tracking database has been developed to monitor software/library usage. This Automatic Library Tracking Database (ALTD) automatically and transparently stores, into a database, information about the libraries linked into an application at compilation time and also the executables launched in a batch job. Information gathered into the database can then be mined to provide reports. Analyzing the results from the data collected will help to identify, for example, the most frequently used and the least used libraries and codes, and those users that are using deprecated libraries or applications. We will illustrate the usage of libraries and executables on the Cray XT platforms hosted at the National Institute for Computational Sciences and the Oak Ridge Leadership Computing Facility (both located at Oak Ridge National Laboratory).

  11. "Table HC1.3 Heated Floorspace Usage Indicators, 2005" " Million U.S. Housing Units"

    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,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal

  12. "Table HC1.4 Cooled Floorspace Usage Indicators, 2005" " Million U.S. Housing Units"

    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,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4 Cooled

  13. Usage Demographics

    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 SolStrengthening aTurbulence mayUndergraduateAbout Us Updatesproject

  14. Corrosion indicating equipment UK-1

    SciTech Connect (OSTI)

    Gerasimenko, Y.S.; Abrosimov, V.S.; Rudenko, A.K.; Sorokin, V.I.

    1986-11-01T23:59:59.000Z

    UK-1, developed and introduced into oil industry corrosion-indicating equipment, has been developed on the basis of the principle of measurements of polarization resistance. It is designed for determining the corrosion activity of effluents of oil fields. The technical data and design of the equipment is discussed. The investigations were carried out on 08kp steel in simulation effluents of oil fields in the presence of corrosion inhibitors used in the oil industry at various temperatures (25-50 C) and liquid flow rate.

  15. Examining the adoption, usage and outcomes of mobile money services: the case of M-PESA in Kenya

    E-Print Network [OSTI]

    Morawczynski, Olga

    2011-07-04T23:59:59.000Z

    This thesis will examine the adoption, usage and outcomes of a mobile money service called MPESA. Since being launched in 2007, the service has seen phenomenal growth in Kenya. Over 7.5 million users, or 34% of the adult ...

  16. Guidelines for Energy Cost Savings Resulting from Tracking and Monitoring Electrical nad Natural Gas Usage, Cost, and Rates

    E-Print Network [OSTI]

    McClure, J. D.; Estes, M. C.; Estes, J. M.

    1989-01-01T23:59:59.000Z

    This paper discusses how improved energy information in schools and hospitals from tracking and monitoring electrical and natural gas usage, cost, and optional rate structures, can reduce energy costs. Recommendations, methods, and guidelines...

  17. Guidelines for Energy Cost Savings Resulting from Tracking and Monitoring Electrical nad Natural Gas Usage, Cost, and Rates

    E-Print Network [OSTI]

    McClure, J. D.; Estes, M. C.; Estes, J. M.

    1989-01-01T23:59:59.000Z

    This paper discusses how improved energy information in schools and hospitals from tracking and monitoring electrical and natural gas usage, cost, and optional rate structures, can reduce energy costs. Recommendations, ...

  18. SME-Entrepreneurship Global Conference 2006 -Refereed Paper Bakke et al.: ICT diffusion and usage among Asian SMEs 1

    E-Print Network [OSTI]

    Sahay, Sundeep

    SME-Entrepreneurship Global Conference 2006 - Refereed Paper Bakke et al.: ICT diffusion and usage factors, infrastructures and post-adoption behaviour Paper for the conference: "SME Entrepreneurship. Keywords: Diffusion models, infrastructure, domestication, small and medium sized enterprises, SME, ICT

  19. Tamper-indicating barcode and method

    DOE Patents [OSTI]

    Cummings, Eric B.; Even, Jr., William R.; Simmons, Blake A.; Dentinger, Paul Michael

    2005-03-22T23:59:59.000Z

    A novel tamper-indicating barcode methodology is disclosed that allows for detection of alteration to the barcode. The tamper-indicating methodology makes use of a tamper-indicating means that may be comprised of a particulate indicator, an optical indicator, a deformable substrate, and/or may be an integrated aspect of the barcode itself. This tamper-indicating information provides greater security for the contents of containers sealed with the tamper-indicating barcodes.

  20. " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;"

    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,1Stocksa. Appliances byA49. Total Inputs of12.1. Enclosed9.11. Number