National Library of Energy BETA

Sample records for underestimate actual consumption

  1. Table 16. Total Energy Consumption, Projected vs. Actual Projected

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

    6. Total Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 ...

  2. Table 4. Total Petroleum Consumption, Projected vs. Actual

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

    Total Petroleum Consumption, Projected vs. Actual" "Projected" " (million barrels)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",6449.55,6566.35,6643,6723.3,6810.9,6880.25,6956.9,7059.1,7124.8,7205.1,7296.35,7376.65,7446,7522.65,7595.65,7665,7712.45,7774.5 "AEO

  3. Table 12. Total Coal Consumption, Projected vs. Actual

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

    Total Coal Consumption, Projected vs. Actual" "Projected" " (million short tons)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",920,928,933,938,943,948,953,958,962,967,978,990,987,992,1006,1035,1061,1079 "AEO 1995",,935,940,941,947,948,951,954,958,963,971,984,992,996,1002,1013,1025,1039 "AEO

  4. Table 12. Total Coal Consumption, Projected vs. Actual Projected

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

    Total Coal Consumption, Projected vs. Actual Projected (million short tons) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 920 928 933 938 943 948 953 958 962 967 978 990 987 992 1006 1035 1061 1079 AEO 1995 935 940 941 947 948 951 954 958 963 971 984 992 996 1002 1013 1025 1039 AEO 1996 937 942 954 962 983 990 1004 1017 1027 1033 1046 1067 1070 1071 1074 1082 1087 1094 1103 AEO 1997 948 970 987 1003 1017 1020 1025 1034 1041

  5. Table 4. Total Petroleum Consumption, Projected vs. Actual

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

    Total Petroleum Consumption, Projected vs. Actual Projected (million barrels) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 6450 6566 6643 6723 6811 6880 6957 7059 7125 7205 7296 7377 7446 7523 7596 7665 7712 7775 AEO 1995 6398 6544 6555 6676 6745 6822 6888 6964 7048 7147 7245 7337 7406 7472 7537 7581 7621 AEO 1996 6490 6526 6607 6709 6782 6855 6942 7008 7085 7176 7260 7329 7384 7450 7501 7545 7581 7632 7676 AEO 1997 6636 6694

  6. Table 16. Total Energy Consumption, Projected vs. Actual

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

    Total Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",88.02,89.53,90.72,91.73,92.71,93.61,94.56,95.73,96.69,97.69,98.89,100,100.79,101.7,102.7,103.6,104.3,105.23 "AEO 1995",,89.21,89.98,90.57,91.91,92.98,93.84,94.61,95.3,96.19,97.18,98.38,99.37,100.3,101.2,102.1,102.9,103.88 "AEO

  7. Table 8. Total Natural Gas Consumption, Projected vs. Actual

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

    Total Natural Gas Consumption, Projected vs. Actual" "Projected" " (trillion cubic feet)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",19.87,20.21,20.64,20.99,21.2,21.42,21.6,21.99,22.37,22.63,22.95,23.22,23.58,23.82,24.09,24.13,24.02,24.14 "AEO 1995",,20.82,20.66,20.85,21.21,21.65,21.95,22.12,22.25,22.43,22.62,22.87,23.08,23.36,23.61,24.08,24.23,24.59 "AEO

  8. Table 17. Total Delivered Residential Energy Consumption, Projected vs. Actual

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

    Total Delivered Residential Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 10.3 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.5 10.5 10.5 10.5 10.5 10.6 10.6 AEO 1995 11.0 10.8 10.8 10.8 10.8 10.8 10.8 10.7 10.7 10.7 10.7 10.7 10.7 10.7 10.8 10.8 10.9 AEO 1996 10.4 10.7 10.7 10.7 10.8 10.8 10.9 10.9 11.0 11.2 11.2 11.3 11.4 11.5 11.6 11.7 11.8 12.0 12.1

  9. Table 18. Total Delivered Commercial Energy Consumption, Projected vs. Actual

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

    Total Delivered Commercial Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 6.8 6.9 6.9 7.0 7.1 7.1 7.2 7.2 7.3 7.3 7.4 7.4 7.4 7.5 7.5 7.5 7.5 7.6 AEO 1995 6.9 6.9 7.0 7.0 7.0 7.1 7.1 7.1 7.1 7.1 7.2 7.2 7.2 7.2 7.3 7.3 7.3 AEO 1996 7.1 7.2 7.2 7.3 7.3 7.4 7.4 7.5 7.6 7.6 7.7 7.7 7.8 7.9 8.0 8.0 8.1 8.2 8.2 AEO 1997 7.4 7.4 7.4 7.5 7.5 7.6 7.7 7.7 7.8 7.8 7.9 7.9

  10. Table 19. Total Delivered Industrial Energy Consumption, Projected vs. Actual

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

    Total Delivered Industrial Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 25.4 25.9 26.3 26.7 27.0 27.1 26.8 26.6 26.9 27.2 27.7 28.1 28.3 28.7 29.1 29.4 29.7 30.0 AEO 1995 26.2 26.3 26.5 27.0 27.3 26.9 26.6 26.8 27.1 27.5 27.9 28.2 28.4 28.7 29.0 29.3 29.6 AEO 1996 26.5 26.6 27.3 27.5 26.9 26.5 26.7 26.9 27.2 27.6 27.9 28.2 28.3 28.5 28.7 28.9 29.2 29.4 29.6

  11. Table 20. Total Delivered Transportation Energy Consumption, Projected vs. Actual

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

    Total Delivered Transportation Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 23.6 24.1 24.5 24.7 25.1 25.4 25.7 26.2 26.5 26.9 27.2 27.6 27.9 28.3 28.6 28.9 29.2 29.5 AEO 1995 23.3 24.0 24.2 24.7 25.1 25.5 25.9 26.2 26.5 26.9 27.3 27.7 28.0 28.3 28.5 28.7 28.9 AEO 1996 23.9 24.1 24.5 24.8 25.3 25.7 26.0 26.4 26.7 27.1 27.5 27.8 28.1 28.4 28.6 28.9 29.1 29.3

  12. Table 8. Total Natural Gas Consumption, Projected vs. Actual

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

    Actual Projected (trillion cubic feet) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 19.87 20.21 20.64 20.99 ...

  13. "Table 19. Total Delivered Industrial Energy Consumption, Projected vs. Actual"

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

    Total Delivered Industrial Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",25.43,25.904,26.303,26.659,26.974,27.062,26.755,26.598,26.908,27.228,27.668,28.068,28.348,28.668,29.068,29.398,29.688,30.008 "AEO

  14. "Table 17. Total Delivered Residential Energy Consumption, Projected vs. Actual"

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

    Total Delivered Residential Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",10.31,10.36,10.36,10.37,10.38,10.4,10.4,10.41,10.43,10.43,10.44,10.45,10.46,10.49,10.51,10.53,10.56,10.6 "AEO 1995",,10.96,10.8,10.81,10.81,10.79,10.77,10.75,10.73,10.72,10.7,10.7,10.69,10.7,10.72,10.75,10.8,10.85 "AEO

  15. "Table 18. Total Delivered Commercial Energy Consumption, Projected vs. Actual"

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

    Total Delivered Commercial Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",6.82,6.87,6.94,7,7.06,7.13,7.16,7.22,7.27,7.32,7.36,7.38,7.41,7.45,7.47,7.5,7.51,7.55 "AEO 1995",,6.94,6.9,6.95,6.99,7.02,7.05,7.08,7.09,7.11,7.13,7.15,7.17,7.19,7.22,7.26,7.3,7.34 "AEO

  16. "Table 20. Total Delivered Transportation Energy Consumption, Projected vs. Actual"

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

    Total Delivered Transportation Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",23.62,24.08,24.45,24.72,25.06,25.38,25.74,26.16,26.49,26.85,27.23,27.55,27.91,28.26,28.61,28.92,29.18,29.5 "AEO 1995",,23.26,24.01,24.18,24.69,25.11,25.5,25.86,26.15,26.5,26.88,27.28,27.66,27.99,28.25,28.51,28.72,28.94 "AEO

  17. Consumption

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

    5. Fuel Oil Consumption and Conditional Energy Intensity by Census Region for Non-Mall Buildings, 2003" ,"Total Fuel Oil Consumption (million gallons)",,,,"Total Floorspace of...

  18. Consumption

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

    3. Fuel Oil Consumption and Conditional Energy Intensity by Census Region, 1999" ,"Total Fuel Oil Consumption (million gallons)",,,,"Total Floorspace of Buildings Using Fuel Oil...

  19. Consumption

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

    . Electricity Consumption and Conditional Energy Intensity by Climate Zonea for Non-Mall Buildings, 2003" ,"Total Electricity Consumption (billion kWh)",,,,,"Total Floorspace of...

  20. Consumption

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

    A. Electricity Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003" ,"Total Electricity Consumption (billion kWh)",,,,,"Total Floorspace of...

  1. Consumption

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

    A. Electricity Consumption and Conditional Energy Intensity by Building Size for All Buildings, 2003" ,"Total Electricity Consumption (billion kWh)",,,"Total Floorspace of...

  2. Consumption

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

    3. Electricity Consumption and Conditional Energy Intensity, 1999" ,"Total Electricity Consumption (billion kWh)",,,"Total Floorspace of Buildings Using Electricity (million square...

  3. Consumption

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

    A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 1" ,"Total Electricity Consumption (billion kWh)",,,"Total Floorspace...

  4. Consumption

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

    . Electricity Consumption and Conditional Energy Intensity by Building Size for Non-Mall Buildings, 2003" ,"Total Electricity Consumption (billion kWh)",,,"Total Floorspace of...

  5. Consumption

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

    . Electricity Consumption and Conditional Energy Intensity by Census Division for Non-Mall Buildings, 2003: Part 1" ,"Total Electricity Consumption (billion kWh)",,,"Total...

  6. Consumption

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

    . Electricity Consumption and Conditional Energy Intensity by Census Division for Non-Mall Buildings, 2003: Part 2" ,"Total Electricity Consumption (billion kWh)",,,"Total...

  7. Consumption

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

    9A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3" ,"Total Electricity Consumption (billion kWh)",,,"Total Floorspace...

  8. Consumption

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

    Electricity Consumption and Conditional Energy Intensity by Census Region, 1999" ,"Total Electricity Consumption (billion kWh)",,,,"Total Floorspace of Buildings Using Electricity...

  9. Consumption

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

    . Electricity Consumption and Conditional Energy Intensity by Census Region for Non-Mall Buildings, 2003" ,"Total Electricity Consumption (billion kWh)",,,,"Total Floorspace of...

  10. Consumption

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

    A. Electricity Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003" ,"Total Electricity Consumption (billion kWh)",,,,"Total Floorspace of...

  11. Consumption

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

    . Electricity Consumption and Conditional Energy Intensity by Year Constructed for Non-Mall Buildings, 2003" ,"Total Electricity Consumption (billion kWh)",,,"Total Floorspace of...

  12. Consumption

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

    4. Electricity Consumption and Conditional Energy Intensity by Year Constructed, 1999" ,"Total Electricity Consumption (billion kWh)",,,"Total Floorspace of Buildings Using...

  13. Consumption

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

    A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2" ,"Total Electricity Consumption (billion kWh)",,,"Total Floorspace...

  14. Consumption

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

    A. Electricity Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003" ,"Total Electricity Consumption (billion kWh)",,,"Total Floorspace of...

  15. Consumption

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

    . Electricity Consumption and Conditional Energy Intensity by Census Division for Non-Mall Buildings, 2003: Part 3" ,"Total Electricity Consumption (billion kWh)",,,"Total...

  16. Consumption

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

    A. Fuel Oil Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003" ,"Total Fuel Oil Consumption (million gallons)",,,,"Total Floorspace of Buildings...

  17. Consumption

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

    . Consumption and Gross Energy Intensity by Building Size for Sum of Major Fuels for Non-Mall Buildings, 2003" ,"Sum of Major Fuel Consumption (trillion Btu)",,,"Total Floorspace...

  18. Residential Energy Consumption Survey (RECS) - Analysis & Projections...

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

    This rise has occurred while Federal energy efficiency standards were enacted on every major appliance, overall household energy consumption actually decreased from 10.58 quads to ...

  19. Survey Consumption

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

    purchase diaries from a subset of respondents composing a Household Transportation Panel and is reported separately. Residential Energy Consumption Survey: Consumption and...

  20. Manufacturing Consumption of Energy 1991--Combined Consumption...

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

    call 202-586-8800 for help. Return to Energy Information Administration Home Page. Home > Energy Users > Manufacturing > Consumption and Fuel Switching Manufacturing Consumption of...

  1. How People Actually Use Thermostats

    SciTech Connect (OSTI)

    Meier, Alan; Aragon, Cecilia; Hurwitz, Becky; Mujumdar, Dhawal; Peffer, Therese; Perry, Daniel; Pritoni, Marco

    2010-08-15

    Residential thermostats have been a key element in controlling heating and cooling systems for over sixty years. However, today's modern programmable thermostats (PTs) are complicated and difficult for users to understand, leading to errors in operation and wasted energy. Four separate tests of usability were conducted in preparation for a larger study. These tests included personal interviews, an on-line survey, photographing actual thermostat settings, and measurements of ability to accomplish four tasks related to effective use of a PT. The interviews revealed that many occupants used the PT as an on-off switch and most demonstrated little knowledge of how to operate it. The on-line survey found that 89% of the respondents rarely or never used the PT to set a weekday or weekend program. The photographic survey (in low income homes) found that only 30% of the PTs were actually programmed. In the usability test, we found that we could quantify the difference in usability of two PTs as measured in time to accomplish tasks. Users accomplished the tasks in consistently shorter times with the touchscreen unit than with buttons. None of these studies are representative of the entire population of users but, together, they illustrate the importance of improving user interfaces in PTs.

  2. ,"Total Fuel Oil Consumption

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

    0. Fuel Oil Consumption (gallons) and Energy Intensities by End Use for Non-Mall Buildings, 2003" ,"Total Fuel Oil Consumption (million gallons)",,,,,"Fuel Oil Energy Intensity...

  3. ,"Total Fuel Oil Consumption

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

    A. Fuel Oil Consumption (gallons) and Energy Intensities by End Use for All Buildings, 2003" ,"Total Fuel Oil Consumption (million gallons)",,,,,"Fuel Oil Energy Intensity...

  4. Manufacturing Consumption of Energy 1994

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

    (MECS) > MECS 1994 Combined Consumption and Fuel Switching Manufacturing Energy Consumption Survey 1994 (Combined Consumption and Fuel Switching) Manufacturing Energy Consumption...

  5. Could Material Defects Actually Improve Solar Cells?

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

    Could Material Defects Actually Improve Solar Cells? Could Material Defects Actually Improve Solar Cells? March 21, 2016 Contact: Kathy Kincade, kkincade@lbl.gov, +1 510 495 2124 NRELsolarcell Scientists at the U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) are using supercomputers to study what may seem paradoxical: certain defects in silicon solar cells may actually improve their performance. The findings, published January 11, 2016 in Applied Physics Letters,

  6. Level: National and Regional Data; Row: Energy Sources; Column: Consumption Potential;

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

    Nonswitchable Minimum and Maximum Consumption, 2010; Level: National and Regional Data; Row: Energy Sources; Column: Consumption Potential; Unit: Physical Units. Actual Minimum Maximum Energy Sources Consumption Consumption(a) Consumption(b) Total United States Electricity Receipts(c) (million kilowatthour 745,247 727,194 770,790 Natural Gas (billion cubic feet) 5,064 4,331 5,298 Distillate Fuel Oil (thousand barrels) 22 20 82 Residual Fuel Oil (thousand barrels) 13 9 46 Coal (thousand short

  7. Commercial Buildings Energy Consumption and Expenditures 1992...

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

    Consumption and Expenditures Electricity Consumption Natural Gas Consumption Wood and Solar Energy Consumption Fuel Oil and District Heat Consumption Energy Consumption in...

  8. National Lighting Energy Consumption

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

    Lighting Energy National Lighting Energy Consumption Consumption 390 Billion kWh used for lighting in all 390 Billion kWh used for lighting in all commercial buildings in commercial buildings in 2001 2001 LED (<.1% ) Incandescent 40% HID 22% Fluorescent 38% Lighting Energy Consumption by Lighting Energy Consumption by Breakdown of Lighting Energy Breakdown of Lighting Energy Major Sector and Light Source Type Major Sector and Light Source Type Source: Navigant Consulting, Inc., U.S. Lighting

  9. Residential Energy Consumption Survey:

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

    ... ...*...,,.<,<,...,,.,,.,,. 97 Table 6. Residential Fuel Oil and Kerosene Consumption and Expenditures April 1979 Through March 1980 Northeast...

  10. All Consumption Tables.vp

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

    4) June 2007 State Energy Consumption Estimates 1960 Through 2004 2004 Consumption Summary Tables Table S1. Energy Consumption Estimates by Source and End-Use Sector, 2004...

  11. CSV File Documentation: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    Consumption Estimates The State Energy Data System (SEDS) comma-separated value (CSV) files ... SG still gas SN special naphthas SO solar thermal and photovoltaic energy TE total ...

  12. ,"Total Natural Gas Consumption

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

    Gas Consumption (billion cubic feet)",,,,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"Total ","Space Heating","Water Heating","Cook- ing","Other","Total ","Space...

  13. Office Buildings - Energy Consumption

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

    Energy Consumption Office buildings consumed more than 17 percent of the total energy used by the commercial buildings sector (Table 4). At least half of total energy, electricity,...

  14. FY 2013 Real Property Deferred, Actual, and Required Maintenance...

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

    Real Property Deferred, Actual, and Required Maintenance Reporting Requirement FY 2013 Real Property Deferred, Actual, and Required Maintenance Reporting Requirement PDF icon FY ...

  15. FY 2012 Real Property Deferred, Actual, and Required Maintenance...

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

    Real Property Deferred, Actual, and Required Maintenance Reporting Requirement FY 2012 Real Property Deferred, Actual, and Required Maintenance Reporting Requirement PDF icon FY ...

  16. Table 13. Coal Production, Projected vs. Actual

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

    Coal Production, Projected vs. Actual" "Projected" " (million short tons)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",999,1021,1041,1051,1056,1066,1073,1081,1087,1098,1107,1122,1121,1128,1143,1173,1201,1223 "AEO 1995",,1006,1010,1011,1016,1017,1021,1027,1033,1040,1051,1066,1076,1083,1090,1108,1122,1137 "AEO

  17. Table 22. Energy Intensity, Projected vs. Actual

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

    Energy Intensity, Projected vs. Actual" "Projected" " (quadrillion Btu / $Billion 2005 Chained GDP)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",10.89145253,10.73335719,10.63428655,10.48440125,10.33479508,10.20669515,10.06546105,9.94541493,9.822393757,9.707148466,9.595465524,9.499032573,9.390723436,9.29474735,9.185496812,9.096176848,9.007677565,8.928276581 "AEO

  18. DOE/EIA-0321/HRIf Residential Energy Consumption Survey. Consumption

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

    purchase diaries from a subset of respondents composing a Household Transportation Panel and is reported separately. Residential Energy Consumption Survey: Consumption and...

  19. Residential energy consumption survey: consumption and expenditures, April 1982-March 1983. Part 1, national data

    SciTech Connect (OSTI)

    Thompson, W.

    1984-11-01

    This report presents data on the US consumption and expenditures for residential use of natural gas, electricity, fuel oil or kerosene, and liquefied petroleum gas (LPG) from April 1982 through March 1983. Data on the consumption of wood for this period are also presented. The consumption and expenditures data are based on actual household bills, obtained, with the permission of the household. from the companies supplying energy to the household. Data on wood consumption are based on respondent recall of the amount of wood burned during the winter and are subject to memory errors and other reporting errors described in the report. These data come from the 1982 Residential Energy Consumption Survey (RECS), the fifth in a series of comparable surveys beginning in 1978. The 1982 survey is the first survey to include, as part of its sample, a portion of the same households interviewed in the 1980 survey. A separate report is planned to report these longitudinal data. This summary gives the highlights of a comparison of the findings for the 5 years of RECS data. The data cover all types of housing units in the 50 states and the District of Columbia including single-family units, apartments, and mobile homes. For households with indirect energy costs, such as costs that are included in the rent or paid by third parties, the sonsumption and expenditures data are estimated and included in the figures reported here. The average household consumption of natural gas, electricity, fuel oil or kerosene, and LPG dropped in 1982 from the previous year, hitting a 5-year low since the first Residential Energy Consumption Survey (RECS) was conducted in 1978. The average consumption was 103 (+-3) million Btu per household in 1982, down from 114 (+-) million Btu in 1981. The weather was the main contributing factor. 8 figures, 46 tables.

  20. Caustic-Side Solvent Extraction: Prediction of Cesium Extraction for Actual Wastes and Actual Waste Simulants

    SciTech Connect (OSTI)

    Delmau, L.H.; Haverlock, T.J.; Sloop, F.V., Jr.; Moyer, B.A.

    2003-02-01

    This report presents the work that followed the CSSX model development completed in FY2002. The developed cesium and potassium extraction model was based on extraction data obtained from simple aqueous media. It was tested to ensure the validity of the prediction for the cesium extraction from actual waste. Compositions of the actual tank waste were obtained from the Savannah River Site personnel and were used to prepare defined simulants and to predict cesium distribution ratios using the model. It was therefore possible to compare the cesium distribution ratios obtained from the actual waste, the simulant, and the predicted values. It was determined that the predicted values agree with the measured values for the simulants. Predicted values also agreed, with three exceptions, with measured values for the tank wastes. Discrepancies were attributed in part to the uncertainty in the cation/anion balance in the actual waste composition, but likely more so to the uncertainty in the potassium concentration in the waste, given the demonstrated large competing effect of this metal on cesium extraction. It was demonstrated that the upper limit for the potassium concentration in the feed ought to not exceed 0.05 M in order to maintain suitable cesium distribution ratios.

  1. Level: National and Regional Data; Row: Energy Sources; Column: Consumption Potential;

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

    Table 10.1 Nonswitchable Minimum and Maximum Consumption, 2006; Level: National and Regional Data; Row: Energy Sources; Column: Consumption Potential; Unit: Physical Units. Actual Minimum Maximum Energy Sources Consumption Consumption(a) Consumption(b) Total United States Electricity Receipts(c) (million kilowatthour 854,102 826,077 889,281 Natural Gas (billion cubic feet) 5,357 4,442 5,649 Distillate Fuel Oil (thousand barrels) 22,139 19,251 101,340 Residual Fuel Oil (thousand barrels) 39,925

  2. FY 2012 Real Property Deferred, Actual, and Required Maintenance Reporting

    Energy Savers [EERE]

    Requirement | Department of Energy Real Property Deferred, Actual, and Required Maintenance Reporting Requirement FY 2012 Real Property Deferred, Actual, and Required Maintenance Reporting Requirement PDF icon FY 2012 DARM Transmittal Letter and Attachment Final.pdf More Documents & Publications FY 2013 Real Property Deferred, Actual, and Required Maintenance Reporting Requirement Real Property Maintenance Reporting Requirement Memorandum (July 13, 2010)

  3. Full Consumption Report.indd

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

    214(2013) July 2015 State Energy Consumption Estimates 1960 Through 2013 2013 Consumption Summary Tables S U M M A R I E S U.S. Energy Information Administration | State Energy ...

  4. Health Care Buildings: Consumption Tables

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

    Consumption Tables Sum of Major Fuel Consumption by Size and Type of Health Care Building Total (trillion Btu) per Building (million Btu) per Square Foot (thousand Btu) Dollars per...

  5. US ESC TN Site Consumption

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

    Energy Consumption Survey www.eia.govconsumptionresidential Space heating Water heating Air conditioning Appliances, electronics, lighting Household Energy Use in ...

  6. US ENC WI Site Consumption

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

    Energy Consumption Survey www.eia.govconsumptionresidential Space heating Water heating Air conditioning Appliances, electronics, lighting Household Energy Use in ...

  7. US NE MA Site Consumption

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

    Energy Consumption Survey www.eia.govconsumptionresidential Space heating Water heating Air conditioning Appliances, electronics, lighting Household Energy Use in ...

  8. FY 2013 Real Property Deferred, Actual, and Required Maintenance Reporting

    Energy Savers [EERE]

    Requirement | Department of Energy Real Property Deferred, Actual, and Required Maintenance Reporting Requirement FY 2013 Real Property Deferred, Actual, and Required Maintenance Reporting Requirement PDF icon FY 2013 DARM Transmittal Letter and Attachment Final.pdf More Documents & Publications FY 2012 Real Property Deferred, Actual, and Required Maintenance Reporting Requirement FY_09_DM_RM_AM_Reporting_Memo_and_attachment_072009.pdf Real Property Maintenance Reporting Requirement

  9. Table 14a. Average Electricity Prices, Projected vs. Actual

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

    a. Average Electricity Prices, Projected vs. Actual" "Projected Price in Constant Dollars" " (constant dollars, cents per kilowatt-hour in ""dollar year"" specific to each AEO)" ...

  10. DOETEIAO32l/2 Residential Energy Consumption Survey; Consumption

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

    purchase diaries from a subset of respondents comprising a Household Transportation Panel and is reported separately. * Wood used for heating. Although wood consumption data...

  11. Energy Intensity Indicators: Transportation Energy Consumption...

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

    Transportation Energy Consumption Energy Intensity Indicators: Transportation Energy Consumption This section contains an overview of the aggregate transportation sector, combining ...

  12. Using Electricity",,,"Electricity Consumption",,,"Electricity...

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

    . Total Electricity Consumption and Expenditures, 2003" ,"All Buildings* Using Electricity",,,"Electricity Consumption",,,"Electricity Expenditures" ,"Number of Buildings...

  13. Manufacturing Consumption of Energy 1994

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

    Detailed Tables 28 Energy Information AdministrationManufacturing Consumption of Energy 1994 1. In previous MECS, the term "primary energy" was used to denote the "first use" of...

  14. US WSC TX Site Consumption

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

    Energy Consumption Survey www.eia.govconsumptionresidential Space heating Water heating Air conditioning Appliances, electronics, lighting Household Energy Use in Texas A ...

  15. US WNC MO Site Consumption

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

    Energy Consumption Survey www.eia.govconsumptionresidential Space heating Water heating Air conditioning Appliances, electronics, lighting Household Energy Use in Missouri ...

  16. US ENC IL Site Consumption

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

    Energy Consumption Survey www.eia.govconsumptionresidential Space heating Water heating Air conditioning Appliances, electronics, lighting Household Energy Use in Illinois ...

  17. US ENC MI Site Consumption

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

    Energy Consumption Survey www.eia.govconsumptionresidential Space heating Water heating Air conditioning Appliances, electronics, lighting Household Energy Use in Michigan ...

  18. Household Vehicles Energy Consumption 1991

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

    or commercial trucks (See Table 1). Energy Information AdministrationHousehold Vehicles Energy Consumption 1991 5 The 1991 RTECS count includes vehicles that were owned or used...

  19. Household Vehicles Energy Consumption 1991

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

    of vehicles in the residential sector. Data are from the 1991 Residential Transportation Energy Consumption Survey. The "Glossary" contains the definitions of terms used in the...

  20. Manufacturing Consumption of Energy 1994

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

    Natural Gas to Residual Fuel Oil, by Industry Group and Selected Industries, 1994 369 Energy Information AdministrationManufacturing Consumption of Energy 1994 SIC Residual...

  1. Household Vehicles Energy Consumption 1991

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

    logo printer-friendly version logo for Portable Document Format file Household Vehicles Energy Consumption 1991 December 1993 Release Next Update: August 1997. Based on the 1991...

  2. Comparison of Real World Energy Consumption to Models and DOE Test

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

    Procedures | Department of Energy Comparison of Real World Energy Consumption to Models and DOE Test Procedures Comparison of Real World Energy Consumption to Models and DOE Test Procedures This study investigates the real-world energy performance of appliances and equipment as it compares with models and test procedures. The study looked to determine whether DOE and industry test procedures actually replicate real world conditions, whether performance degrades over time, and whether

  3. Table 14b. Average Electricity Prices, Projected vs. Actual

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

    b. Average Electricity Prices, Projected vs. Actual" "Projected Price in Nominal Dollars" " (nominal dollars, cents per kilowatt-hour)" ,1993,1994,1995,1996,1997,1998,1999,2000,200...

  4. Table 14b. Average Electricity Prices, Projected vs. Actual

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

    b. Average Electricity Prices, Projected vs. Actual Projected Price in Nominal Dollars (nominal dollars, cents per kilowatt-hour) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 ...

  5. Table 9. Natural Gas Production, Projected vs. Actual

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

    Natural Gas Production, Projected vs. Actual" "Projected" " (trillion cubic feet)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2...

  6. Table 10. Natural Gas Net Imports, Projected vs. Actual

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

    Natural Gas Net Imports, Projected vs. Actual" "Projected" " (trillion cubic feet)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,...

  7. "Table 7b. Natural Gas Price, Electric Power Sector, Actual...

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

    b. Natural Gas Price, Electric Power Sector, Actual vs. Projected" "Projected Price in Nominal Dollars" " (nominal dollars per million Btu)" ,1993,1994,1995,1996,1997,1998,1999,200...

  8. Table 10. Natural Gas Net Imports, Projected vs. Actual Projected

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

    Natural Gas Net Imports, Projected vs. Actual Projected (trillion cubic feet) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012...

  9. Electricity in US energy consumption. [Percentages for 1973 to 1982

    SciTech Connect (OSTI)

    Studness, C.M.

    1984-09-13

    The share of US energy consumption devoted to electric generation rose sharply again in 1983. Of 70.573 quadrillion Btu consumed nationally last year, 35.4% or 24.975 quadrillion Btu were used for electric generation. This represented an increase from 34.3% in 1982. Significantly, the share of the nation's energy consumption accounted for by electric generation has risen just as rapidly during the ten years since the Arab oil embargo in 1973 as it did during the decade leading up to the embargo. Electricity's share of energy consumption rose 7.3 percentage points from only 19.5% in 1963 to 26.8% in 1973 and another 8.6 percentage points during the last ten years to 35.4% in 1983. Moreover, electricity's share of energy consumption has grown in each of the ten years since the embargo. The nation's energy consumption actually fell 0.4% in 1983, and it declined 4.9% or roughly 0.4% per year during 1973 to 1983. By contrast, energy consumed in electric generation rose 2.9% last year and grew 2.3% per year during the last decade.

  10. US ENC IL Site Consumption

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

    IL Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC IL Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC IL Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US ENC IL Expenditures dollars ELECTRICITY ONLY average per household * Illinois households use 129 million Btu of energy per home, 44% more than the U.S. average. * High consumption, combined with low costs for heating fuels

  11. US ENC MI Site Consumption

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

    MI Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC MI Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC MI Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US ENC MI Expenditures dollars ELECTRICITY ONLY average per household * Michigan households use 123 million Btu of energy per home, 38% more than the U.S. average. * High consumption, combined with low costs for heating fuels

  12. US ESC TN Site Consumption

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

    ESC TN Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ESC TN Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US ESC TN Site Consumption kilowatthours $0 $400 $800 $1,200 $1,600 US ESC TN Expenditures dollars ELECTRICITY ONLY average per household * Tennessee households consume an average of 79 million Btu per year, about 12% less than the U.S. average. * Average electricity consumption for Tennessee households is 33%

  13. US NE MA Site Consumption

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

    NE MA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US NE MA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US NE MA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US NE MA Expenditures dollars ELECTRICITY ONLY average per household * Massachusetts households use 109 million Btu of energy per home, 22% more than the U.S. average. * The higher than average site consumption

  14. US WSC TX Site Consumption

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

    WSC TX Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US WSC TX Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US WSC TX Site Consumption kilowatthours $0 $500 $1,000 $1,500 $2,000 US WSC TX Expenditures dollars ELECTRICITY ONLY average per household * Texas households consume an average of 77 million Btu per year, about 14% less than the U.S. average. * Average electricity consumption per Texas home is 26% higher than

  15. Manufacturing Consumption of Energy 1994

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

    2(94) Distribution Category UC-950 Manufacturing Consumption of Energy 1994 December 1997 Energy Information Administration Office of Energy Markets and End Use U.S. Department of...

  16. 2014 Manufacturing Energy Consumption Survey

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

    U S C E N S U S B U R E A U 2014 Manufacturing Energy Consumption Survey Sponsored by the Energy Information Administration U.S. Department of Energy Administered and Compiled by ...

  17. Household Vehicles Energy Consumption 1991

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

    for 1994, will continue the 3-year cycle. The RTECS, a subsample of the Residential Energy Consumption Survey (RECS), is an integral part of a series of surveys designed by...

  18. Household Vehicles Energy Consumption 1991

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

    16.8 17.4 18.6 18.9 1.7 2.2 0.6 1.5 Energy Information AdministrationHousehold Vehicles Energy Consumption 1991 15 Vehicle Miles Traveled per Vehicle (Thousand) . . . . . . . . ....

  19. Building and occupant characteristics as determinants of residential energy consumption

    SciTech Connect (OSTI)

    Nieves, L.A.; Nieves, A.L.

    1981-10-01

    The major goals of the research are to gain insight into the probable effects of building energy performance standards on energy consumption; to obtain observations of actual residential energy consumption that could affirm or disaffirm comsumption estimates of the DOE 2.0A simulation model; and to investigate home owner's conservation investments and home purchase decisions. The first chapter covers the investigation of determinants of household energy consumption. The presentation begins with the underlying economic theory and its implications, and continues with a description of the data collection procedures, the formulation of variables, and then of data analysis and findings. In the second chapter the assumptions and limitations of the energy use projections generated by the DOE 2.0A model are discussed. Actual electricity data for the houses are then compared with results of the simulation. The third chapter contains information regarding households' willingness to make energy conserving investments and their ranking of various conservation features. In the final chapter conclusions and recommendations are presented with an emphasis on the policy implications of this study. (MCW)

  20. Manufacturing consumption of energy 1991

    SciTech Connect (OSTI)

    Not Available

    1994-12-01

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

  1. Residential Energy Consumption Survey (RECS) - Analysis & Projections...

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

    RECS data show decreased energy consumption per household RECS 2009 - Release date: June 6, 2012 Total United States energy consumption in homes has remained relatively stable for ...

  2. Commercial Buildings Energy Consumption Survey (CBECS) - Analysis...

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

    When will energy consumption estimates be available? Energy consumption and expenditures data will be available beginning in spring 2015. CBECS data collection is currently in its ...

  3. ,"Minnesota Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Data for" ,"Data 1","Minnesota Natural Gas Vehicle Fuel Consumption ... 7:09:42 AM" "Back to Contents","Data 1: Minnesota Natural Gas Vehicle Fuel Consumption ...

  4. Energy Intensity Indicators: Commercial Source Energy Consumption...

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

    Commercial Source Energy Consumption Energy Intensity Indicators: Commercial Source Energy Consumption Figure C1 below reports as index numbers over the period 1970 through 2011: ...

  5. Energy Intensity Indicators: Residential Source Energy Consumption...

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

    Residential Source Energy Consumption Energy Intensity Indicators: Residential Source Energy Consumption Figure R1 below reports as index numbers over the period 1970 through 2011: ...

  6. ,"California Natural Gas Consumption by End Use"

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

    Data for" ,"Data 1","California Natural Gas Consumption by End ... AM" "Back to Contents","Data 1: California Natural Gas Consumption by End Use" ...

  7. ,"Fuel Oil Consumption",,,"Fuel Oil Expenditures"

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

    4. Fuel Oil Consumption and Expenditure Intensities for Non-Mall Buildings, 2003" ,"Fuel Oil Consumption",,,"Fuel Oil Expenditures" ,"per Building (gallons)","per Square Foot...

  8. ,"Fuel Oil Consumption",,,"Fuel Oil Expenditures"

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

    2. Fuel Oil Consumption and Expenditure Intensities, 1999" ,"Fuel Oil Consumption",,,"Fuel Oil Expenditures" ,"per Building (gallons)","per Square Foot (gallons)","per Worker...

  9. ,"Virginia Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Data for" ,"Data 1","Virginia Natural Gas Vehicle Fuel Consumption ... 12:00:27 PM" "Back to Contents","Data 1: Virginia Natural Gas Vehicle Fuel Consumption ...

  10. ,"West Virginia Natural Gas Residential Consumption (MMcf)"

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

    AM" "Back to Contents","Data 1: West Virginia Natural Gas Residential Consumption (MMcf)" "Sourcekey","N3010WV2" "Date","West Virginia Natural Gas Residential Consumption ...

  11. ,"Virginia Natural Gas Consumption by End Use"

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

    Data for" ,"Data 1","Virginia Natural Gas Consumption by End ... 11:05:20 AM" "Back to Contents","Data 1: Virginia Natural Gas Consumption by End Use" ...

  12. ,"West Virginia Natural Gas Industrial Consumption (MMcf)"

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

    AM" "Back to Contents","Data 1: West Virginia Natural Gas Industrial Consumption (MMcf)" "Sourcekey","N3035WV2" "Date","West Virginia Natural Gas Industrial Consumption ...

  13. ,"West Virginia Natural Gas Total Consumption (MMcf)"

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

    Data for" ,"Data 1","West Virginia Natural Gas Total Consumption ... AM" "Back to Contents","Data 1: West Virginia Natural Gas Total Consumption (MMcf)" ...

  14. ,"New Mexico Natural Gas Total Consumption (MMcf)"

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

    Data for" ,"Data 1","New Mexico Natural Gas Total Consumption ... AM" "Back to Contents","Data 1: New Mexico Natural Gas Total Consumption (MMcf)" ...

  15. ,"Oklahoma Natural Gas Consumption by End Use"

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

    Data for" ,"Data 1","Oklahoma Natural Gas Consumption by End ... 11:05:14 AM" "Back to Contents","Data 1: Oklahoma Natural Gas Consumption by End Use" ...

  16. ,"Texas Natural Gas Consumption by End Use"

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

    Data for" ,"Data 1","Texas Natural Gas Consumption by End ... 6:36:11 AM" "Back to Contents","Data 1: Texas Natural Gas Consumption by End Use" ...

  17. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    4A. Fuel Oil Consumption and Expenditure Intensities for All Buildings, 2003 Fuel Oil Consumption Fuel Oil Expenditures per Building (gallons) per Square Foot (gallons) per...

  18. Energy Information Administration - Commercial Energy Consumption...

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

    3A. Total Fuel Oil Consumption and Expenditures for All Buildings, 2003 All Buildings Using Fuel Oil Fuel Oil Consumption Fuel Oil Expenditures Number of Buildings (thousand)...

  19. Energy Information Administration - Commercial Energy Consumption...

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

    5A. Fuel Oil Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Fuel Oil Consumption (million gallons) Total Floorspace of Buildings Using...

  20. Energy Information Administration - Commercial Energy Consumption...

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

    4A. Electricity Consumption and Expenditure Intensities for All Buildings, 2003 Electricity Consumption Electricity Expenditures per Building (thousand kWh) per Square Foot (kWh)...

  1. Energy Information Administration - Commercial Energy Consumption...

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

    3A. Total Electricity Consumption and Expenditures for All Buildings, 2003 All Buildings Using Electricity Electricity Consumption Electricity Expenditures Number of Buildings...

  2. Using Electricity",,,"Electricity Consumption",,,"Electricity...

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

    A. Total Electricity Consumption and Expenditures for All Buildings, 2003" ,"All Buildings Using Electricity",,,"Electricity Consumption",,,"Electricity Expenditures" ,"Number of...

  3. Electricity",,,"Electricity Consumption",,,"Electricity Expenditures...

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

    C9. Total Electricity Consumption and Expenditures, 1999" ,"All Buildings Using Electricity",,,"Electricity Consumption",,,"Electricity Expenditures" ,"Number of Buildings...

  4. Electricity",,,"Electricity Consumption",,,"Electricity Expenditures...

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

    DIV. Total Electricity Consumption and Expenditures by Census Division, 1999" ,"All Buildings Using Electricity",,,"Electricity Consumption",,,"Electricity Expenditures" ,"Number...

  5. Energy Information Administration - Transportation Energy Consumption...

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

    Energy Consumption Transportation Energy Consumption Surveys energy used by vehicles EIA conducts numerous energy-related surveys and other information programs. In general, the...

  6. Commercial Buildings Energy Consumption and Expenditures 1992...

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

    1992 Consumption and Expenditures 1992 Consumption & Expenditures Overview Full Report Tables National estimates of electricity, natural gas, fuel oil, and district heat...

  7. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    A. Consumption and Gross Energy Intensity by Year Constructed for Sum of Major Fuels for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of...

  8. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    2A. Natural Gas Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of...

  9. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    5A. Natural Gas Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of...

  10. Energy Information Administration - Commercial Energy Consumption...

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

    0A. Electricity Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings...

  11. Energy Information Administration - Commercial Energy Consumption...

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

    0A. Natural Gas Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of...

  12. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    8A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 Total Natural Gas Consumption (billion cubic feet) Total Floorspace...

  13. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    A. Consumption and Gross Energy Intensity by Climate Zonea for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet)...

  14. Energy Information Administration - Commercial Energy Consumption...

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

    9A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 Total Natural Gas Consumption (billion cubic feet) Total Floorspace...

  15. Energy Information Administration - Commercial Energy Consumption...

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

    9A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 Total Electricity Consumption (billion kWh) Total Floorspace of...

  16. Energy Information Administration - Commercial Energy Consumption...

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

    2A. Electricity Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings...

  17. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    8A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 Total Electricity Consumption (billion kWh) Total Floorspace of...

  18. Energy Information Administration - Commercial Energy Consumption...

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

    5A. Electricity Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings...

  19. Inconsistent Investment and Consumption Problems

    SciTech Connect (OSTI)

    Kronborg, Morten Tolver; Steffensen, Mogens

    2015-06-15

    In a traditional Black–Scholes market we develop a verification theorem for a general class of investment and consumption problems where the standard dynamic programming principle does not hold. The theorem is an extension of the standard Hamilton–Jacobi–Bellman equation in the form of a system of non-linear differential equations. We derive the optimal investment and consumption strategy for a mean-variance investor without pre-commitment endowed with labor income. In the case of constant risk aversion it turns out that the optimal amount of money to invest in stocks is independent of wealth. The optimal consumption strategy is given as a deterministic bang-bang strategy. In order to have a more realistic model we allow the risk aversion to be time and state dependent. Of special interest is the case were the risk aversion is inversely proportional to present wealth plus the financial value of future labor income net of consumption. Using the verification theorem we give a detailed analysis of this problem. It turns out that the optimal amount of money to invest in stocks is given by a linear function of wealth plus the financial value of future labor income net of consumption. The optimal consumption strategy is again given as a deterministic bang-bang strategy. We also calculate, for a general time and state dependent risk aversion function, the optimal investment and consumption strategy for a mean-standard deviation investor without pre-commitment. In that case, it turns out that it is optimal to take no risk at all.

  20. The Reality and Future Scenarios of Commercial Building Energy Consumption in China

    SciTech Connect (OSTI)

    Zhou, Nan; Lin, Jiang

    2007-08-01

    While China's 11th Five Year Plan called for a reduction of energy intensity by 2010, whether and how the energy consumption trend can be changed in a short time has been hotly debated. This research intends to evaluate the impact of a variety of scenarios of GDP growth, energy elasticity and energy efficiency improvement on energy consumption in commercial buildings in China using a detailed China End-use Energy Model. China's official energy statistics have limited information on energy demand by end use. This is a particularly pertinent issue for building energy consumption. The authors have applied reasoned judgments, based on experience of working on Chinese efficiency standards and energy related programs, to present a realistic interpretation of the current energy data. The bottom-up approach allows detailed consideration of end use intensity, equipment efficiency, etc., thus facilitating assessment of potential impacts of specific policy and technology changes on building energy use. The results suggest that: (1) commercial energy consumption in China's current statistics is underestimated by about 44%, and the fuel mix is misleading; (2) energy efficiency improvements will not be sufficient to offset the strong increase in end-use penetration and intensity in commercial buildings; (3) energy intensity (particularly electricity) in commercial buildings will increase; (4) different GDP growth and elasticity scenarios could lead to a wide range of floor area growth trajectories , and therefore, significantly impact energy consumption in commercial buildings.

  1. Computerized simulation of fuel consumption in the agriculture industry

    SciTech Connect (OSTI)

    Fontana, C.; Rotz, C.A.

    1982-07-01

    A computer model was developed to simulate conventional and ethanol fuel consumption for crop production. The model was validated by obtaining a close comparison between simulated and actual diesel requirements for farms in Michigan. Parameters for ethanol consumption were obtained from laboratory tests using total fueling of spark-ignition engines and dual-fueling of diesel engines with ethanol. Ethanol fuel will always be more economically used in spark-ignition engines than in dual-fueled diesel engines. The price of gasoline must inflate at least 14 percent/yr greater than that of ethanol and diesel must inflate at least 23 percent/yr more than ethanol to allow economic use of ethanol as tractor fuel within the next 5 years.

  2. Determinants of measured energy consumption in public housing

    SciTech Connect (OSTI)

    Greely, K.M.; Mills, E.; Goldman, C.A.; Ritschard, R.L. )

    1988-01-01

    In this study, the authors used a two-part methodology to analyze metered energy use patterns in 91 public housing projects. Their goal was to develop a technique that could be used by the U.S. Department of Housing and Urban Development (HUD) and public housing authorities (PHAs) to derive reasonable energy use guidelines for different segments of the public housing stock. In the authors' approach, actual energy use was first normalized to consumption in a year with ''typical'' weather and then used in a multiple regression analysis of different cross-sectional variables. The regression model explained 80% of the variation in energy use, with the type of account and the management practices of PHAs emerging as important explanatory factors. As compared to previous engineering estimates of public housing consumption, the projects in this study used 8% (per square foot) to 16% (per apartment) less fuel and electricity, but consumption was still significantly higher (43%) than that of privately owned multifamily housing. They conclude that this methodology could be used to help HUD and PHAs increase their understanding of energy use patterns and appropriate consumption levels in public housing.

  3. Minnesota Natural Gas Total Consumption (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Total Consumption (Million Cubic Feet) Minnesota Natural Gas Total Consumption (Million ... Referring Pages: Natural Gas Consumption Minnesota Natural Gas Consumption by End Use ...

  4. California Natural Gas Total Consumption (Million Cubic Feet...

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

    Total Consumption (Million Cubic Feet) California Natural Gas Total Consumption (Million ... Referring Pages: Natural Gas Consumption California Natural Gas Consumption by End Use ...

  5. California Natural Gas Plant Fuel Consumption (Million Cubic...

    Gasoline and Diesel Fuel Update (EIA)

    Fuel Consumption (Million Cubic Feet) California Natural Gas Plant Fuel Consumption ... Referring Pages: Natural Gas Plant Fuel Consumption California Natural Gas Consumption by ...

  6. US ENC WI Site Consumption

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

    120 US ENC WI Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC WI Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC WI Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 US ENC WI Expenditures dollars ELECTRICITY ONLY average per household * Wisconsin households use 103 million Btu of energy per home, 15% more than the U.S. average. * Lower electricity and natural gas rates compared to

  7. US WNC MO Site Consumption

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

    WNC MO Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US WNC MO Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 3,000 6,000 9,000 12,000 15,000 US WNC MO Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 US WNC MO Expenditures dollars ELECTRICITY ONLY average per household * Missouri households consume an average of 100 million Btu per year, 12% more than the U.S. average. * Average household energy costs in Missouri are slightly less

  8. Table 6. Petroleum Net Imports, Projected vs. Actual

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

    Petroleum Net Imports, Projected vs. Actual" "Projected" " (million barrels)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",2934.6,3201.05,3361.65,3504,3657.3,3737.6,3879.95,3993.1,4098.95,4212.1,4303.35,4398.25,4474.9,4540.6,4584.4,4639.15,4668.35,4672 "AEO

  9. FRACTIONAL CRYSTALLIZATION FLOWSHEET TESTS WITH ACTUAL TANK WASTE

    SciTech Connect (OSTI)

    HERTING, D.L.

    2007-04-13

    Laboratory-scale flowsheet tests of the fractional crystallization process were conducted with actual tank waste samples in a hot cell at the 2224 Laboratory. The process is designed to separate medium-curie liquid waste into a low-curie stream for feeding to supplemental treatment and a high-curie stream for double-shell tank storage. Separations criteria (for Cesium-137 sulfate and sodium) were exceeded in all three of the flowsheet tests that were performed.

  10. FRACTIONAL CRYSTALLIZATION FLOWSHEET TESTS WITH ACTUAL TANK WASTE

    SciTech Connect (OSTI)

    HERTING, D.L.

    2006-10-18

    Laboratory-scale flowsheet tests of the fractional crystallization process were conducted with actual tank waste samples in a hot cell at the 222-S Laboratory. The process is designed to separate medium-curie liquid waste into a low-curie stream for feeding to supplemental treatment and a high-curie stream for double-shell tank storage. Separations criteria (for Cs-137 sulfate, and sodium) were exceeded in all three of the flowsheet tests that were performed.

  11. Consumption

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

    90,1024,3251,1511,"Q",106.6,97.3,100.6 "Office ...",305,325,329,175,3012,2989,3782,2425,101.2,108.8,87,72.1 "Public Assembly ...",93,103,109,64,1048,...

  12. Consumption

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

    9,60,56.7,43.1,31.4,22.1 "1990 to 1999 ...",69,87,51,93,34,1735,1988,1202,3012,1267,40,43.8,42.4,30.9,26.9 "2000 to 2003 ...",23,40,"Q",28,15,693,1086,7...

  13. Consumption

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

    Using Natural Gas (million square feet)",,,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"North- east","Mid- west","South","West","North- east","Mid-...

  14. Consumption

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

    Using Natural Gas (million square feet)",,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"West South Central","Moun- tain","Pacific","West South Central","Moun-...

  15. Consumption

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

    Using Natural Gas (million square feet)",,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"1959 or Before","1960 to 1989","1990 to 2003","1959 or Before","1960 to...

  16. Consumption

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

    (million square feet)",,,"Energy Intensity for Sum of Major Fuels (thousand Btu square foot)" ,"West North Central","South Atlantic","East South Central","West North...

  17. Consumption

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

    Using Natural Gas (million square feet)",,,,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"Zone 1","Zone 2","Zone 3","Zone 4","Zone 5","Zone 1","Zone 2","Zone 3","Zone...

  18. Consumption

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

    (million square feet)",,,"Energy Intensity for Sum of Major Fuels (thousand Btusquare foot)" ,"1959 or Before","1960 to 1989","1990 to 2003","1959 or Before","1960 to...

  19. Consumption

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

    (million square feet)",,,,"Energy Intensity for Sum of Major Fuels (thousand Btu square foot)" ,"North- east","Mid- west","South","West","North- east","Mid-...

  20. Consumption

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

    Using Natural Gas (million square feet)",,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"New England","Middle Atlantic","East North Central","New England","Middle...

  1. Consumption

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

    Using Natural Gas (million square feet)",,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"West North Central","South Atlantic","East South Central","West North...

  2. Consumption

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

    (million square feet)",,,"Energy Intensity for Sum of Major Fuels (thousand Btusquare foot)" ,"1,001 to 10,000 Square Feet","10,001 to 100,000 Square Feet","Over 100,000...

  3. Consumption

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

    Using Natural Gas (million square feet)",,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"1,001 to 10,000 Square Feet","10,001 to 100,000 Square Feet","Over 100,000...

  4. Consumption

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

    (million square feet)",,,"Energy Intensity for Sum of Major Fuels (thousand Btu square foot)" ,"New England","Middle Atlantic","East North Central","New England","Middle...

  5. Consumption

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

    (million square feet)",,,"Energy Intensity for Sum of Major Fuels (thousand Btu square foot)" ,"1,001 to 10,000 Square Feet","10,001 to 100,000 Square Feet","Over 100,000...

  6. Consumption

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

    (million square feet)",,,,,"Energy Intensity for Sum of Major Fuels (thousand Btu square foot)" ,"Zone 1","Zone 2","Zone 3","Zone 4","Zone 5","Zone 1","Zone 2","Zone 3","Zone...

  7. Consumption

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

    Using Natural Gas (million square feet)",,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"1959 or Before","1960 to 1989","1990 to 1999","1959 or Before","1960 to...

  8. Consumption

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

    (million square feet)",,,"Energy Intensity for Sum of Major Fuels (thousand Btu square foot)" ,"West South Central","Moun- tain","Pacific","West South Central","Moun-...

  9. Consumption

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

    (million square feet)",,,"Energy Intensity for Sum of Major Fuels (thousand Btusquare foot)" ,"1959 or Before","1960 to 1989","1990 to 1999","1959 or Before","1960 to...

  10. Consumption

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

    (million square feet)",,,,"Energy Intensity for Sum of Major Fuels (thousand Btusquare foot)" ,"North- east","Mid- west","South","West","North- east","Mid-...

  11. Derived annual estimates of manufacturing energy consumption, 1974--1988

    SciTech Connect (OSTI)

    Not Available

    1992-08-05

    This report presents a complete series of annual estimates of purchased energy used by the manufacturing sector of the US economy, for the years 1974 to 1988. These estimates interpolate over gaps in the actual data collections, by deriving estimates for the missing years 1982--1984 and 1986--1987. For the purposes of this report, ``purchased`` energy is energy brought from offsite for use at manufacturing establishments, whether the energy is purchased from an energy vendor or procured from some other source. The actual data on purchased energy comes from two sources, the US Department of Commerce Bureau of the Census`s Annual Survey of Manufactures (ASM) and EIA`s Manufacturing Energy Consumption Survey (MECS). The ASM provides annual estimates for the years 1974 to 1981. However, in 1982 (and subsequent years) the scope of the ASM energy data was reduced to collect only electricity consumption and expenditures and total expenditures for other purchased energy. In 1985, EIA initiated the triennial MECS collecting complete energy data. The series equivalent to the ASM is referred to in the MECS as ``offsite-produced fuels.``

  12. Manufacturing consumption of energy 1994

    SciTech Connect (OSTI)

    1997-12-01

    This report provides estimates on energy consumption in the manufacturing sector of the U.S. economy based on data from the Manufacturing Energy Consumption Survey. The sample used in this report represented about 250,000 of the largest manufacturing establishments which account for approximately 98 percent of U.S. economic output from manufacturing, and an expected similar proportion of manufacturing energy use. The amount of energy use was collected for all operations of each establishment surveyed. Highlights of the report include profiles for the four major energy-consuming industries (petroleum refining, chemical, paper, and primary metal industries), and an analysis of the effects of changes in the natural gas and electricity markets on the manufacturing sector. Seven appendices are included to provide detailed background information. 10 figs., 51 tabs.

  13. Table 13. Coal Production, Projected vs. Actual Projected

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

    Coal Production, Projected vs. Actual Projected (million short tons) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 999 1021 1041 1051 1056 1066 1073 1081 1087 1098 1107 1122 1121 1128 1143 1173 1201 1223 AEO 1995 1006 1010 1011 1016 1017 1021 1027 1033 1040 1051 1066 1076 1083 1090 1108 1122 1137 AEO 1996 1037 1044 1041 1045 1061 1070 1086 1100 1112 1121 1135 1156 1161 1167 1173 1184 1190 1203 1215 AEO 1997 1028 1052 1072 1088

  14. Table 15. Total Electricity Sales, Projected vs. Actual

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

    Total Electricity Sales, Projected vs. Actual" "Projected" " (billion kilowatt-hours)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",2843,2891,2928,2962,3004,3039,3071,3112,3148,3185,3228,3263,3298,3332,3371,3406,3433,3469 "AEO 1995",,2951,2967,2983,3026,3058,3085,3108,3134,3166,3204,3248,3285,3321,3357,3396,3433,3475 "AEO

  15. Table 15. Total Electricity Sales, Projected vs. Actual Projected

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

    Total Electricity Sales, Projected vs. Actual Projected (billion kilowatt-hours) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 2843 2891 2928 2962 3004 3039 3071 3112 3148 3185 3228 3263 3298 3332 3371 3406 3433 3469 AEO 1995 2951 2967 2983 3026 3058 3085 3108 3134 3166 3204 3248 3285 3321 3357 3396 3433 3475 AEO 1996 2973 2998 3039 3074 3106 3137 3173 3215 3262 3317 3363 3409 3454 3505 3553 3604 3660 3722 3775 AEO 1997 3075

  16. Table 5. Domestic Crude Oil Production, Projected vs. Actual

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

    Domestic Crude Oil Production, Projected vs. Actual" "Projected" " (million barrels)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",2507.55,2372.5,2255.7,2160.8,2087.8,2022.1,1952.75,1890.7,1850.55,1825,1799.45,1781.2,1766.6,1759.3,1777.55,1788.5,1806.75,1861.5 "AEO

  17. Table 5. Domestic Crude Oil Production, Projected vs. Actual

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

    Domestic Crude Oil Production, Projected vs. Actual Projected (million barrels) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 2508 2373 2256 2161 2088 2022 1953 1891 1851 1825 1799 1781 1767 1759 1778 1789 1807 1862 AEO 1995 2402 2307 2205 2095 2037 1967 1953 1924 1916 1905 1894 1883 1887 1887 1920 1945 1967 AEO 1996 2387 2310 2248 2172 2113 2062 2011 1978 1953 1938 1916 1920 1927 1949 1971 1986 2000 2018 2055 AEO 1997 2362 2307

  18. Table 6. Petroleum Net Imports, Projected vs. Actual Projected

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

    Petroleum Net Imports, Projected vs. Actual Projected (million barrels) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 2935 3201 3362 3504 3657 3738 3880 3993 4099 4212 4303 4398 4475 4541 4584 4639 4668 4672 AEO 1995 2953 3157 3281 3489 3610 3741 3818 3920 4000 4103 4208 4303 4362 4420 4442 4460 4460 AEO 1996 3011 3106 3219 3398 3519 3679 3807 3891 3979 4070 4165 4212 4260 4289 4303 4322 4325 4347 4344 AEO 1997 3099 3245 3497

  19. Residential Energy Consumption Survey (RECS) - Analysis & Projections...

    Gasoline and Diesel Fuel Update (EIA)

    How does EIA estimate energy consumption and end uses in U.S. homes? RECS 2009 - Release date: March 28, 2011 EIA administers the Residential Energy Consumption Survey (RECS) to a ...

  20. ,"New Mexico Natural Gas Industrial Consumption (MMcf)"

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

    6:58:31 AM" "Back to Contents","Data 1: New Mexico Natural Gas Industrial Consumption (MMcf)" "Sourcekey","N3035NM2" "Date","New Mexico Natural Gas Industrial Consumption (MMcf)" ...

  1. ,"New Mexico Natural Gas Residential Consumption (MMcf)"

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

    6:56:45 AM" "Back to Contents","Data 1: New Mexico Natural Gas Residential Consumption (MMcf)" "Sourcekey","N3010NM2" "Date","New Mexico Natural Gas Residential Consumption (MMcf)" ...

  2. Energy Information Administration - Commercial Energy Consumption...

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

    A. Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings...

  3. US MidAtl PA Site Consumption

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

    Energy Consumption Survey www.eia.govconsumptionresidential Space heating Water heating Air conditioning Appliances, electronics, lighting Household Energy Use in ...

  4. State energy data report 1992: Consumption estimates

    SciTech Connect (OSTI)

    Not Available

    1994-05-01

    This is a report of energy consumption by state for the years 1960 to 1992. The report contains summaries of energy consumption for the US and by state, consumption by source, comparisons to other energy use reports, consumption by energy use sector, and describes the estimation methodologies used in the preparation of the report. Some years are not listed specifically although they are included in the summary of data.

  5. Household energy consumption and expenditures, 1990

    SciTech Connect (OSTI)

    Not Available

    1993-03-02

    This report, Household Energy Consumption and Expenditures 1990, is based upon data from the 1990 Residential Energy Consumption Survey (RECS). Focusing on energy end-use consumption and expenditures of households, the 1990 RECS is the eighth in a series conducted since 1978 by the Energy Information Administration (EIA). Over 5,000 households were surveyed, providing information on their housing units, housing characteristics, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information provided represents the characteristics and energy consumption of 94 million households nationwide.

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

    DOE Patents [OSTI]

    Donnelly, Matthew K.; Chassin, David P.; Dagle, Jeffery E.; Kintner-Meyer, Michael; Winiarski, David W.; Pratt, Robert G.; Boberly-Bartis, Anne Marie

    2006-03-07

    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.

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

    DOE Patents [OSTI]

    Donnelly, Matthew K.; Chassin, David P.; Dagle, Jeffery E.; Kintner-Meyer, Michael; Winiarski, David W.; Pratt, Robert G.; Boberly-Bartis, Anne Marie

    2008-09-02

    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.

  8. California Natural Gas Lease and Plant Fuel Consumption (Million...

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

    California Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 ... Natural Gas Lease and Plant Fuel Consumption California Natural Gas Consumption by End Use ...

  9. Texas Natural Gas Industrial Consumption (Million Cubic Feet...

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

    Consumption (Million Cubic Feet) Texas Natural Gas Industrial Consumption (Million Cubic ... Natural Gas Delivered to Industrial Consumers Texas Natural Gas Consumption by End Use ...

  10. Energy consumption in thermomechanical pulping

    SciTech Connect (OSTI)

    Marton, R.; Tsujimoto, N.; Eskelinen, E.

    1981-08-01

    Various components of refining energy were determined experimentally and compared with those calculated on the basis of the dimensions of morphological elements of wood. The experimentally determined fiberization energy of spruce was 6 to 60 times larger than the calculated value and that of birch 3 to 15 times larger. The energy consumed in reducing the Canadian standard freeness of isolated fibers from 500 to 150 ml was found to be approximately 1/3 of the total fiber development energy for both spruce and birch TMP. Chip size affected the refining energy consumption; the total energy dropped by approximately 30% when chip size was reduced from 16 mm to 3 mm in the case of spruce and approximately 40% for birch. 6 refs.

  11. Table 14a. Average Electricity Prices, Projected vs. Actual

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

    a. Average Electricity Prices, Projected vs. Actual Projected Price in Constant Dollars (constant dollars, cents per kilowatt-hour in "dollar year" specific to each AEO) AEO $ Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 1992 6.80 6.80 6.90 6.90 6.90 6.90 7.00 7.00 7.10 7.10 7.20 7.20 7.20 7.30 7.30 7.40 7.50 7.60 AEO 1995 1993 6.80 6.80 6.70 6.70 6.70 6.70 6.70 6.80 6.80 6.90 6.90 6.90 7.00 7.00 7.10 7.10 7.20

  12. Table 22. Energy Intensity, Projected vs. Actual Projected

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

    Energy Intensity, Projected vs. Actual Projected (quadrillion Btu / $Billion 2005 Chained GDP) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 10.9 10.7 10.6 10.5 10.3 10.2 10.1 9.9 9.8 9.7 9.6 9.5 9.4 9.3 9.2 9.1 9.0 8.9 AEO 1995 10.5 10.4 10.3 10.1 10.0 9.8 9.7 9.6 9.4 9.3 9.2 9.1 9.0 8.9 8.9 8.8 8.7 AEO 1996 10.4 10.3 10.1 10.0 9.8 9.7 9.5 9.4 9.3 9.2 9.1 9.0 8.9 8.9 8.8 8.7 8.7 8.6 8.5 AEO 1997 10.0 9.9 9.8 9.7 9.6 9.5 9.4

  13. Table 9. Natural Gas Production, Projected vs. Actual Projected

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

    Natural Gas Production, Projected vs. Actual Projected (trillion cubic feet) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 17.71 17.68 17.84 18.12 18.25 18.43 18.58 18.93 19.28 19.51 19.80 19.92 20.13 20.18 20.38 20.35 20.16 20.19 AEO 1995 18.28 17.98 17.92 18.21 18.63 18.92 19.08 19.20 19.36 19.52 19.75 19.94 20.17 20.28 20.60 20.59 20.88 AEO 1996 18.90 19.15 19.52 19.59 19.59 19.65 19.73 19.97 20.36 20.82 21.25 21.37 21.68

  14. 2009 Energy Consumption Per Person | Department of Energy

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

    2009 Energy Consumption Per Person 2009 Energy Consumption Per Person 2009 Energy Consumption Per Person Per capita energy consumption across all sectors of the economy. Click on a state for more information.

  15. Household energy consumption and expenditures 1993

    SciTech Connect (OSTI)

    1995-10-05

    This presents information about household end-use consumption of energy and expenditures for that energy. These data were collected in the 1993 Residential Energy Consumption Survey; more than 7,000 households were surveyed for information on their housing units, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information represents all households nationwide (97 million). Key findings: National residential energy consumption was 10.0 quadrillion Btu in 1993, a 9% increase over 1990. Weather has a significant effect on energy consumption. Consumption of electricity for appliances is increasing. Houses that use electricity for space heating have lower overall energy expenditures than households that heat with other fuels. RECS collected data for the 4 most populous states: CA, FL, NY, TX.

  16. Residential Energy Consumption Survey (RECS) - Data - U.S. Energy...

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

    | Previous Housing characteristics Consumption & expenditures Microdata Methodology ... Special tabulations: wood characteristics and consumption Release date: February 21, 2014 ...

  17. Commercial Buildings Energy Consumption Survey (CBECS) - U.S...

    Gasoline and Diesel Fuel Update (EIA)

    Consumption & Efficiency Commercial Buildings Energy Consumption Survey (CBECS) Glossary FAQS Overview Data 2012 2003 1999 1995 1992 Previous Analysis & Projections ...

  18. Table 6a. Total Electricity Consumption per Effective Occupied...

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

    a. Total Electricity Consumption per Effective Occupied Square Foot, 1992 Building Characteristics All Buildings Using Electricity (thousand) Total Electricity Consumption...

  19. Household energy consumption and expenditures, 1987

    SciTech Connect (OSTI)

    Not Available

    1989-10-10

    Household Energy Consumption and Expenditures 1987, Part 1: National Data is the second publication in a series from the 1987 Residential Energy Consumption Survey (RECS). It is prepared by the Energy End Use Division (EEUD) of the Office of Energy Markets and End Use (EMEU), Energy Information Administration (EIA). The EIA collects and publishes comprehensive data on energy consumption in occupied housing units in the residential sector through the RECS. 15 figs., 50 tabs.

  20. Manufacturing Energy Consumption Survey (MECS) - Analysis & Projection...

    Gasoline and Diesel Fuel Update (EIA)

    Manufacturing Energy Consumption Data Show Large Reductions in Both Manufacturing Energy Use and the Energy Intensity of Manufacturing Activity between 2002 and 2010 MECS 2010 - ...

  1. Residential Energy Consumption Survey (RECS) - Analysis & Projections...

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

    EIA has conducted the Residential Energy Consumption Survey (RECS) since 1978 to provide data on home energy characteristics, end uses of energy, and expenses for the four Census ...

  2. Residential Energy Consumption Survey (RECS) - Analysis & Projections...

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

    As a part of the Residential Energy Consumption Survey (RECS), trained interviewers measure the square footage of each housing unit. RECS square footage data allow comparison of ...

  3. Commercial Buildings Energy Consumption Survey (CBECS) - Analysis...

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

    Release Date: July 12, 2012 | Revised Date: June 19, 2014 The Commercial Buildings Energy Consumption Survey (CBECS) project cycle spans at least four years, beginning with ...

  4. Commercial Buildings Energy Consumption Survey (CBECS) - Analysis...

    Gasoline and Diesel Fuel Update (EIA)

    Pick a date range: From: To: Go Commercial Buildings Available formats 2012 Commercial Buildings Energy Consumption Survey: Energy Usage Summary Released: March 18, 2016 EIA has ...

  5. Commercial Buildings Energy Consumption Survey (CBECS) - How...

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

    Energy Usage Information Collected in the 2012 CBECS? CBECS 2012 - Release date: March 18, 2016 The Commercial Buildings Energy Consumption Survey (CBECS) project cycle spans at ...

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

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

    That increase in supply has in turn lowered the price of natural gas to manufacturers Manufacturing Energy Consumption Data Show Large Reductions in Both Manufacturing Energy Use ...

  7. Residential Energy Consumption Survey (RECS) - Analysis & Projections...

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

    RECS 2009 - Release date: March 28, 2011 First results from EIA's 2009 Residential Energy Consumption Survey (RECS) The 2009 RECS collected home energy characteristics data from ...

  8. Commercial Buildings Energy Consumption Survey (CBECS) - Analysis...

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

    Data collection for the 2012 Commercial Buildings Energy Consumption Survey (CBECS) took place between April and November 2013, collecting data for reference year 2012. The goal of ...

  9. Issues in International Energy Consumption Analysis: Electricity...

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

    This is the U.S. Energy Information Administration's second study to help provide a better understanding of the factors impacting residential energy consumption and intensity in ...

  10. Commercial Buildings Energy Consumption and Expenditures 1992

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

    Appendix I Related EIA Publications on Energy Consumption For information about how to obtain these publi- cations, see the inside cover of this report. Please note that the...

  11. Commercial Buildings Energy Consumption and Expenditures 1992

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

    Appendix A How the Survey Was Conducted Introduction The Commercial Buildings Energy Consumption Survey (CBECS) is conducted by the Energy Information Administration (EIA) on a...

  12. Commercial Buildings Energy Consumption and Expenditures 1992

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

    Distribution Category UC-950 Commercial Buildings Energy Consumption and Expenditures 1992 April 1995 Energy Information Adminstration Office of Energy Markets and End Use U.S....

  13. Commercial Buildings Energy Consumption and Expenditures 1992

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

    in this report were based on monthly billing records submitted by the buildings' energy suppliers. The section, "Annual Consumption and Expenditures" provide a detailed...

  14. ,"Maine Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Maine Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Annual",2014 ,"Release Date:","930...

  15. ,"North Dakota Natural Gas Industrial Consumption (MMcf)"

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

    Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Industrial Consumption (MMcf)",1,"Monthly","102015" ,"Release Date:","12312015" ,"Next...

  16. ,"South Carolina Natural Gas Industrial Consumption (MMcf)"

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

    Of Series","Frequency","Latest Data for" ,"Data 1","South Carolina Natural Gas Industrial Consumption (MMcf)",1,"Monthly","102015" ,"Release Date:","12312015" ,"Next...

  17. ,"South Dakota Natural Gas Industrial Consumption (MMcf)"

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

    Of Series","Frequency","Latest Data for" ,"Data 1","South Dakota Natural Gas Industrial Consumption (MMcf)",1,"Monthly","102015" ,"Release Date:","12312015" ,"Next...

  18. ,"New York Natural Gas Industrial Consumption (MMcf)"

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

    Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Industrial Consumption (MMcf)",1,"Monthly","102015" ,"Release Date:","12312015" ,"Next...

  19. ,"New Jersey Natural Gas Industrial Consumption (MMcf)"

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

    Of Series","Frequency","Latest Data for" ,"Data 1","New Jersey Natural Gas Industrial Consumption (MMcf)",1,"Monthly","102015" ,"Release Date:","12312015" ,"Next...

  20. ,"Rhode Island Natural Gas Industrial Consumption (MMcf)"

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

    Of Series","Frequency","Latest Data for" ,"Data 1","Rhode Island Natural Gas Industrial Consumption (MMcf)",1,"Monthly","102015" ,"Release Date:","12312015" ,"Next...

  1. ,"New Hampshire Natural Gas Industrial Consumption (MMcf)"

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

    Of Series","Frequency","Latest Data for" ,"Data 1","New Hampshire Natural Gas Industrial Consumption (MMcf)",1,"Monthly","102015" ,"Release Date:","12312015" ,"Next...

  2. Chapter 4. Fuel Economy, Consumption and Expenditures

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

    national concerns about dependence on foreign oil and the deleterious effect on the environment of fossil fuel combustion, residential vehicle fleet fuel consumption was...

  3. US SoAtl FL Site Consumption

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

    Energy Consumption Survey www.eia.govconsumptionresidential Space heating Water heating Air conditioning Appliances, electronics, lighting Household Energy Use in Florida ...

  4. US Mnt(S) AZ Site Consumption

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

    Energy Consumption Survey www.eia.govconsumptionresidential Space heating Water heating Air conditioning Appliances, electronics, lighting Household Energy Use in Arizona ...

  5. US MidAtl NJ Site Consumption

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

    Energy Consumption Survey www.eia.govconsumptionresidential Space heating Water heating Air conditioning Appliances, electronics, lighting Household Energy Use in New ...

  6. US SoAtl GA Site Consumption

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

    Energy Consumption Survey www.eia.govconsumptionresidential Space heating Water heating Air conditioning Appliances, electronics, lighting Household Energy Use in Georgia ...

  7. US SoAtl VA Site Consumption

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

    Energy Consumption Survey www.eia.govconsumptionresidential Space heating Water heating Air conditioning Appliances, electronics, lighting Household Energy Use in Virginia ...

  8. ,"Natural Gas Consumption",,,"Natural Gas Expenditures"

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

    Census Division, 1999" ,"Natural Gas Consumption",,,"Natural Gas Expenditures" ,"per Building (thousand cubic feet)","per Square Foot (cubic feet)","per Worker (thousand cubic...

  9. Commercial Buildings Energy Consumption and Expenditures 1995...

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

    fuel oil, and district heat consumption and expenditures for commercial buildings by building characteristics. Previous Page Arrow Separater Bar File Last Modified: January 29,...

  10. CBECS 1992 - Consumption & Expenditures, Detailed Tables

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

    consumption by major fuel, 1992 Divider Line To View andor Print Reports (requires Adobe Acrobat Reader) - Download Adobe Acrobat Reader If you experience any difficulties,...

  11. Energy Information Administration - Commercial Energy Consumption...

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

    Gas Consumption Natural Gas Expenditures per Building (thousand cubic feet) per Square Foot (cubic feet) Distribution of Building-Level Intensities (cubic feetsquare foot) 25th...

  12. ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; GREENHOUSES...

    Office of Scientific and Technical Information (OSTI)

    fuel-fired peak heating for geothermal greenhouses Rafferty, K. 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; GREENHOUSES; AUXILIARY HEATING; CAPITALIZED COST; OPERATING...

  13. ,"Washington Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Washington Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Annual",2014 ,"Release Date:","930...

  14. Displacing Natural Gas Consumption and Lowering Emissions

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

    ADVANCED MANUFACTURING OFFICE Displacing Natural Gas Consumption and Lowering Emissions By ... and chemical sectors account for more than 40% of total industrial natural gas use. ...

  15. ,"Hawaii Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Hawaii Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Annual",2014 ,"Release Date:","930...

  16. ,"Texas Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Annual",2014 ,"Release Date:","930...

  17. ,"Texas Natural Gas Lease Fuel Consumption (MMcf)"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Lease Fuel Consumption (MMcf)",1,"Annual",2014 ,"Release Date:","930...

  18. ,"Texas Natural Gas Plant Fuel Consumption (MMcf)"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Plant Fuel Consumption (MMcf)",1,"Annual",2014 ,"Release Date:","930...

  19. Energy Preview: Residential Transportation Energy Consumption...

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

    t 7 Energy Preview: Residential Transportation Energy Consumption Survey, Preliminary Estimates, 1991 (See Page 1) This publication and other Energy Information Administration...

  20. Derived Annual Estimates of Manufacturing Energy Consumption...

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

    > Derived Annual Estimates - Executive Summary Derived Annual Estimates of Manufacturing Energy Consumption, 1974-1988 Figure showing Derived Estimates Executive Summary This...

  1. Household Vehicles Energy Consumption 1994 - Appendix C

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

    discusses several issues relating to the quality of the Residential Transportation Energy Consumption Survey (RTECS) data and to the interpretation of conclusions based on...

  2. Minimize oil field power consumption

    SciTech Connect (OSTI)

    Harris, B.; Ennis, P.

    1999-08-01

    Though electric power is a major operating cost of oil production, few producers have systematically evaluated their power consumption for ways to be more efficient. There is significant money to be saved by doing so, and now is a good time to make an evaluation because new power options are at hand. They range from small turbo generators that can run on casing head gas and power one or two lift pumps, to rebuilt major turbines and ram-jet powered generators that can be set in a multi-well field and deliver power at bargain prices. Power industry deregulation is also underway. Opportunities for more advantageous power contracts from competitive sources are not far off. This two-part series covers power efficiency and power options. This article reviews steps you can take to evaluate the efficiency of your power use and go about improving it. Part 2 will discuss opportunities for use of distributed power and changes you can expect from decentralized power.

  3. Power consumption monitoring using additional monitoring device

    SciTech Connect (OSTI)

    Truşcă, M. R. C. Albert, Ş. Tudoran, C. Soran, M. L. Fărcaş, F.; Abrudean, M.

    2013-11-13

    Today, emphasis is placed on reducing power consumption. Computers are large consumers; therefore it is important to know the total consumption of computing systems. Since their optimal functioning requires quite strict environmental conditions, without much variation in temperature and humidity, reducing energy consumption cannot be made without monitoring environmental parameters. Thus, the present work uses a multifunctional electric meter UPT 210 for power consumption monitoring. Two applications were developed: software which carries meter readings provided by electronic and programming facilitates remote device and a device for temperature monitoring and control. Following temperature variations that occur both in the cooling system, as well as the ambient, can reduce energy consumption. For this purpose, some air conditioning units or some computers are stopped in different time slots. These intervals were set so that the economy is high, but the work's Datacenter is not disturbed.

  4. Consumption & Efficiency - U.S. Energy Information Administration (EIA)

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

    Consumption & Efficiency Glossary › FAQS › Overview Data Residential Energy Consumption Survey data Commercial Energy Consumption Survey data Manufacturing Energy Consumption Survey data Vehicle Energy Consumption Survey data Energy intensity Consumption summaries Average cost of fossil-fuels for electricity generation All consumption & efficiency data reports Analysis & Projections Major Topics Most popular All sectors Commercial buildings Efficiency Manufacturing Projections

  5. US MidAtl NJ Site Consumption

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

    MidAtl NJ Site Consumption million Btu $0 $700 $1,400 $2,100 $2,800 $3,500 US MidAtl NJ Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US MidAtl NJ Site Consumption kilowatthours $0 $400 $800 $1,200 $1,600 US MidAtl NJ Expenditures dollars ELECTRICITY ONLY average per household * Average energy consumption (127 million Btu per year) in New Jersey homes and average household energy expenditures ($3,065 per year) are among the

  6. US Mnt(S) AZ Site Consumption

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

    Mnt(S) AZ Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US Mnt(S) AZ Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 3,000 6,000 9,000 12,000 15,000 US Mnt(S) AZ Site Consumption kilowatthours $0 $500 $1,000 $1,500 $2,000 US Mnt(S) AZ Expenditures dollars ELECTRICITY ONLY average per household * Arizona households use 66 million Btu of energy per home, 26% less than the U.S. average. * The combination of lower than average site consumption of all

  7. US SoAtl GA Site Consumption

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

    GA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US SoAtl GA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US SoAtl GA Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 $1,800 US SoAtl GA Expenditures dollars ELECTRICITY ONLY average per household * Site energy consumption (89.5 million Btu) and energy expenditures per household ($2,067) in Georgia are similar to the U.S. household averages. * Per

  8. US SoAtl VA Site Consumption

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

    SoAtl VA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US SoAtl VA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US SoAtl VA Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 $1,800 US SoAtl VA Expenditures dollars ELECTRICITY ONLY average per household * Virginia households consume an average of 86 million Btu per year, about 4% less than the U.S. average. * Average electricity consumption and costs are

  9. State Energy Data Report, 1991: Consumption estimates

    SciTech Connect (OSTI)

    Not Available

    1993-05-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to the Government, policy makers, and the public; and (2) to provide the historical series necessary for EIA`s energy models.

  10. Residential Energy Consumption Survey: Quality Profile

    SciTech Connect (OSTI)

    1996-03-01

    The Residential Energy Consumption Survey (RECS) is a periodic national survey that provides timely information about energy consumption and expenditures of U.S. households and about energy-related characteristics of housing units. The survey was first conducted in 1978 as the National Interim Energy Consumption Survey (NIECS), and the 1979 survey was called the Household Screener Survey. From 1980 through 1982 RECS was conducted annually. The next RECS was fielded in 1984, and since then, the survey has been undertaken at 3-year intervals. The most recent RECS was conducted in 1993.

  11. State energy data report 1993: Consumption estimates

    SciTech Connect (OSTI)

    1995-07-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public; and (2) to provide the historical series necessary for EIA`s energy models.

  12. Residential Energy Consumption Survey (RECS) - Analysis & Projections...

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

    Where does RECS square footage data come from? July 11, 2012 RECS data show decreased energy consumption per household June 6, 2012 The impact of increasing home size on energy ...

  13. Manufacturing Energy Consumption Survey (MECS) - Residential...

    Gasoline and Diesel Fuel Update (EIA)

    Early-release estimates from the 2010 MECS show that energy consumption in the manufacturing sector decreased between 2006 and 2010 MECS 2006-2010 - Release date: March 28, 2012 ...

  14. Residential Energy Consumption Survey (RECS) - Analysis & Projections...

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

    Square footage typically stays fixed over the life of a home and it is a characteristic that is expensive, even impractical to alter to reduce energy consumption. According to ...

  15. Commercial Buildings Energy Consumption Survey (CBECS) - Data...

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

    What is an RSE? The estimates in the Commercial Buildings Energy Consumption Survey (CBECS) are based on data reported by representatives of a statistically-designed subset of the ...

  16. US MidAtl NY Site Consumption

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

    consumption in New York homes is much lower than the U.S. average, because many households use other fuels for major energy end uses like space heating, water heating, and cooking. ...

  17. ,"Kansas Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Natural Gas ...

  18. ,"Arizona Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Arizona Natural Gas ...

  19. ,"Alabama Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas ...

  20. State energy data report 1996: Consumption estimates

    SciTech Connect (OSTI)

    1999-02-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA`s energy models. To the degree possible, energy consumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs.

  1. Residential Lighting End-Use Consumption

    Broader source: Energy.gov [DOE]

    The U.S. DOE Residential Lighting End-Use Consumption Study aims to improve the understanding of lighting energy usage in U.S. residential dwellings using a regional estimation framework. The framework allows for the estimation of lamp usage and energy consumption 1) nationally and by region of the United States, 2) by certain household characteristics, 3) by location within the home, 4) by certain lamp characteristics, and 5) by certain categorical cross-classifications.

  2. Estimates of US biomass energy consumption 1992

    SciTech Connect (OSTI)

    Not Available

    1994-05-06

    This report is the seventh in a series of publications developed by the Energy Information Administration (EIA) to quantify the biomass-derived primary energy used by the US economy. It presents estimates of 1991 and 1992 consumption. The objective of this report is to provide updated estimates of biomass energy consumption for use by Congress, Federal and State agencies, biomass producers and end-use sectors, and the public at large.

  3. State energy data report 1994: Consumption estimates

    SciTech Connect (OSTI)

    1996-10-01

    This document provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), operated by EIA. SEDS provides State energy consumption estimates to members of Congress, Federal and State agencies, and the general public, and provides the historical series needed for EIA`s energy models. Division is made for each energy type and end use sector. Nuclear electric power is included.

  4. Fact Sheet: Gas Prices and Oil Consumption Would Increase Without...

    Energy Savers [EERE]

    Gas Prices and Oil Consumption Would Increase Without Biofuels Fact Sheet: Gas Prices and Oil Consumption Would Increase Without Biofuels Secretary of Energy Samuel W. Bodman and ...

  5. SEP Request for Approval Form 7 - Other Situations for Consumption...

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

    7 - Other Situations for Consumption Adjustment SEP Request for Approval Form 7 - Other Situations for Consumption Adjustment File SEP-Request-for-Approval-Form-7Other-Situations-...

  6. Lubricant Formulation and Consumption Effects on Diesel Exhaust...

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

    Lubricant Formulation and Consumption Effects on Diesel Exhaust Ash Emissions: Lubricant Formulation and Consumption Effects on Diesel Exhaust Ash Emissions: 2005 Diesel Engine ...

  7. Table 3a. Total Natural Gas Consumption per Effective Occupied...

    Gasoline and Diesel Fuel Update (EIA)

    3a. Natural Gas Consumption per Sq Ft Table 3a. Total Natural Gas Consumption per Effective Occupied Square Foot, 1992 Building Characteristics All Buildings Using Natural Gas...

  8. New Water Booster Pump System Reduces Energy Consumption by 80...

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

    Water Booster Pump System Reduces Energy Consumption by 80 Percent and Increases Reliability New Water Booster Pump System Reduces Energy Consumption by 80 Percent and Increases ...

  9. The Impact of Using Derived Fuel Consumption Maps to Predict...

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

    The Impact of Using Derived Fuel Consumption Maps to Predict Fuel Consumption Poster presented at the 16th Directions in Engine-Efficiency and Emissions Research (DEER) Conference ...

  10. Fuel Oil",,,"Fuel Oil Consumption",,"Fuel Oil Expenditures"

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

    1. Total Fuel Oil Consumption and Expenditures, 1999" ,"All Buildings Using Fuel Oil",,,"Fuel Oil Consumption",,"Fuel Oil Expenditures" ,"Number of Buildings (thousand)","Floorspac...

  11. ,"West Virginia Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Data for" ,"Data 1","West Virginia Natural Gas Vehicle Fuel Consumption ... PM" "Back to Contents","Data 1: West Virginia Natural Gas Vehicle Fuel Consumption ...

  12. ,"West Virginia Natural Gas Consumption by End Use"

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

    Data for" ,"Data 1","West Virginia Natural Gas Consumption by End ... AM" "Back to Contents","Data 1: West Virginia Natural Gas Consumption by End Use" ...

  13. Trends in Commercial Buildings--Trends in Energy Consumption...

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

    2 Part 1. Energy Consumption Data Tables Total Energy Intensity Intensity by Energy Source Background: Site and Primary Energy Trends in Energy Consumption and Energy Sources Part...

  14. ,"New Mexico Natural Gas Consumption by End Use"

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

    Data for" ,"Data 1","New Mexico Natural Gas Consumption by End ... AM" "Back to Contents","Data 1: New Mexico Natural Gas Consumption by End Use" ...

  15. Appliance Standby Power and Energy Consumption in South African...

    Open Energy Info (EERE)

    Standby Power and Energy Consumption in South African Households Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Appliance Standby Power and Energy Consumption in South...

  16. Trends in Renewable Energy Consumption and Electricity - Energy...

    Gasoline and Diesel Fuel Update (EIA)

    Trends in Renewable Energy Consumption and Electricity With data for 2010 | Release Date: December 11, ... renewable energy consumption, and solar and geothermal combined ...

  17. Visualization of United States Energy Consumption | Open Energy...

    Open Energy Info (EERE)

    Energy Consumption Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Visualization of United States Energy Consumption AgencyCompany Organization: Energy Information...

  18. Drive Cycle Analysis, Measurement of Emissions and Fuel Consumption...

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

    Drive Cycle Analysis, Measurement of Emissions and Fuel Consumption of a PHEV School Bus ... Analysis, Measurement of Emissions and Fuel Consumption of a PHEV School Bus Robb ...

  19. Table 2a. Electricity Consumption and Electricity Intensities...

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

    Administration Home Page Home > Commercial Buildings Home > Sq Ft Tables > Table 2a. Electricity Consumption per Sq Ft Table 2a. Electricity Consumption and Electricity...

  20. Fact #749: October 15, 2012 Petroleum and Natural Gas Consumption...

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

    9: October 15, 2012 Petroleum and Natural Gas Consumption for Transportation by State, 2010 Fact 749: October 15, 2012 Petroleum and Natural Gas Consumption for Transportation by ...

  1. Fact #839: September 22, 2014 World Petroleum Consumption Continues...

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

    22, 2014 World Petroleum Consumption Continues to Rise despite Declines from the United States and Europe Fact 839: September 22, 2014 World Petroleum Consumption Continues to ...

  2. Table C10. Electricity Consumption and Expenditure Intensities...

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

    Electricity Consumption and Expenditure Intensities, 1999" ,"Electricity Consumption",,,,,,"Electricity Expenditures" ,"per Building (thousand kWh)","per Square Foot (kWh)","per...

  3. Table 5a. Total District Heat Consumption per Effective Occupied...

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

    a. Total District Heat Consumption per Effective Occupied Square Foot, 1992 Building Characteristics All Buildings Using District Heat (thousand) Total District Heat Consumption...

  4. ,"Total Fuel Oil Consumption (trillion Btu)",,,,,"Fuel Oil Energy...

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

    A. Fuel Oil Consumption (Btu) and Energy Intensities by End Use for All Buildings, 2003" ,"Total Fuel Oil Consumption (trillion Btu)",,,,,"Fuel Oil Energy Intensity (thousand Btu...

  5. Fact #840: September 29, 2014 World Renewable Electricity Consumption...

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

    40: September 29, 2014 World Renewable Electricity Consumption is Growing Fact 840: September 29, 2014 World Renewable Electricity Consumption is Growing Electricity generated ...

  6. 2002 Manufacturing Energy Consumption Survey - User Needs Survey

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

    2002 Manufacturing Energy Consumption Survey: User-Needs Survey View current results. We need your help in designing the next Energy Consumption Survey (MECS) As our valued...

  7. Smart Meters Help Balance Energy Consumption at Solar Decathlon...

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

    Smart Meters Help Balance Energy Consumption at Solar Decathlon Smart Meters Help Balance Energy Consumption at Solar Decathlon September 28, 2011 - 10:57am Addthis The Team...

  8. Power to the Plug: An Introduction to Energy, Electricity, Consumption...

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

    to the Plug: An Introduction to Energy, Electricity, Consumption, and Efficiency Power to the Plug: An Introduction to Energy, Electricity, Consumption, and Efficiency Below is...

  9. 1991 Manufacturing Consumption of Energy 1991 Executive Summary

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

    Summary The Manufacturing Consumption of Energy 1991 report presents statistics about the energy consumption of the manufacturing sector, based on the 1991 Manufacturing Energy...

  10. Use of nanofiltration to reduce cooling tower water consumption...

    Office of Scientific and Technical Information (OSTI)

    Use of nanofiltration to reduce cooling tower water consumption. Citation Details In-Document Search Title: Use of nanofiltration to reduce cooling tower water consumption. ...

  11. Energy Consumption of Die Casting Operations

    SciTech Connect (OSTI)

    Jerald Brevick; clark Mount-Campbell; Carroll Mobley

    2004-03-15

    Molten metal processing is inherently energy intensive and roughly 25% of the cost of die-cast products can be traced to some form of energy consumption [1]. The obvious major energy requirements are for melting and holding molten alloy in preparation for casting. The proper selection and maintenance of melting and holding equipment are clearly important factors in minimizing energy consumption in die-casting operations [2]. In addition to energy consumption, furnace selection also influences metal loss due to oxidation, metal quality, and maintenance requirements. Other important factors influencing energy consumption in a die-casting facility include geographic location, alloy(s) cast, starting form of alloy (solid or liquid), overall process flow, casting yield, scrap rate, cycle times, number of shifts per day, days of operation per month, type and size of die-casting form of alloy (solid or liquid), overall process flow, casting yield, scrap rate, cycle times, number of shifts per day, days of operation per month, type and size of die-casting machine, related equipment (robots, trim presses), and downstream processing (machining, plating, assembly, etc.). Each of these factors also may influence the casting quality and productivity of a die-casting enterprise. In a die-casting enterprise, decisions regarding these issues are made frequently and are based on a large number of factors. Therefore, it is not surprising that energy consumption can vary significantly from one die-casting enterprise to the next, and within a single enterprise as function of time.

  12. Household energy consumption and expenditures 1987

    SciTech Connect (OSTI)

    Not Available

    1990-01-22

    This report is the third in the series of reports presenting data from the 1987 Residential Energy Consumption Survey (RECS). The 1987 RECS, seventh in a series of national surveys of households and their energy suppliers, provides baseline information on household energy use in the United States. Data from the seven RECS and its companion survey, the Residential Transportation Energy Consumption Survey (RTECS), are made available to the public in published reports such as this one, and on public use data files. This report presents data for the four Census regions and nine Census divisions on the consumption of and expenditures for electricity, natural gas, fuel oil and kerosene (as a single category), and liquefied petroleum gas (LPG). Data are also presented on consumption of wood at the Census region level. The emphasis in this report is on graphic depiction of the data. Data from previous RECS surveys are provided in the graphics, which indicate the regional trends in consumption, expenditures, and uses of energy. These graphs present data for the United States and each Census division. 12 figs., 71 tabs.

  13. Comparison of Real World Energy Consumption to Models and Department of Energy Test Procedures

    SciTech Connect (OSTI)

    Goetzler, William; Sutherland, Timothy; Kar, Rahul; Foley, Kevin

    2011-09-01

    This study investigated the real-world energy performance of appliances and equipment as it compared with models and test procedures. The study looked to determine whether the U.S. Department of Energy and industry test procedures actually replicate real world conditions, whether performance degrades over time, and whether installation patterns and procedures differ from the ideal procedures. The study first identified and prioritized appliances to be evaluated. Then, the study determined whether real world energy consumption differed substantially from predictions and also assessed whether performance degrades over time. Finally, the study recommended test procedure modifications and areas for future research.

  14. US MidAtl NY Site Consumption

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

    MidAtl NY Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US MidAtl NY Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US MidAtl NY Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US MidAtl NY Expenditures dollars ELECTRICITY ONLY average per household * New York households consume an average of 103 million Btu per year, 15% more than the U.S. average. * Electricity consumption in

  15. Computer usage and national energy consumption: Results from a field-metering study

    SciTech Connect (OSTI)

    Desroches, Louis-Benoit; Fuchs, Heidi; Greenblatt, Jeffery; Pratt, Stacy; Willem, Henry; Claybaugh, Erin; Beraki, Bereket; Nagaraju, Mythri; Price, Sarah; Young, Scott

    2014-12-01

    The electricity consumption of miscellaneous electronic loads (MELs) in the home has grown in recent years, and is expected to continue rising. Consumer electronics, in particular, are characterized by swift technological innovation, with varying impacts on energy use. Desktop and laptop computers make up a significant share of MELs electricity consumption, but their national energy use is difficult to estimate, given uncertainties around shifting user behavior. This report analyzes usage data from 64 computers (45 desktop, 11 laptop, and 8 unknown) collected in 2012 as part of a larger field monitoring effort of 880 households in the San Francisco Bay Area, and compares our results to recent values from the literature. We find that desktop computers are used for an average of 7.3 hours per day (median = 4.2 h/d), while laptops are used for a mean 4.8 hours per day (median = 2.1 h/d). The results for laptops are likely underestimated since they can be charged in other, unmetered outlets. Average unit annual energy consumption (AEC) for desktops is estimated to be 194 kWh/yr (median = 125 kWh/yr), and for laptops 75 kWh/yr (median = 31 kWh/yr). We estimate national annual energy consumption for desktop computers to be 20 TWh. National annual energy use for laptops is estimated to be 11 TWh, markedly higher than previous estimates, likely reflective of laptops drawing more power in On mode in addition to greater market penetration. This result for laptops, however, carries relatively higher uncertainty compared to desktops. Different study methodologies and definitions, changing usage patterns, and uncertainty about how consumers use computers must be considered when interpreting our results with respect to existing analyses. Finally, as energy consumption in On mode is predominant, we outline several energy savings opportunities: improved power management (defaulting to low-power modes after periods of inactivity as well as power scaling), matching the rated power of power supplies to computing needs, and improving the efficiency of individual components.

  16. US MidAtl PA Site Consumption

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

    MidAtl PA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US MidAtl PA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US MidAtl PA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US MidAtl PA Expenditures dollars ELECTRICITY ONLY average per household * Pennsylvania households consume an average of 96 million Btu per year, 8% more than the U.S. average. Pennsylvania residents also

  17. US Mnt(N) CO Site Consumption

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

    Mnt(N) CO Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US Mnt(N) CO Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US Mnt(N) CO Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US Mnt(N) CO Expenditures dollars ELECTRICITY ONLY average per household * Colorado households consume an average of 103 million Btu per year, 15% more than the U.S. average. * Average household energy costs in

  18. US SoAtl FL Site Consumption

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

    FL Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US SoAtl FL Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US SoAtl FL Site Consumption kilowatthours $0 $500 $1,000 $1,500 $2,000 US SoAtl FL Expenditures dollars ELECTRICITY ONLY average per household * Electricity accounts for 90% of the energy consumed by Florida households, and annual electricity expenditures are 40% more than the U.S. average. Florida is second only

  19. Commercial Buildings Energy Consumption Survey - Office Buildings

    Reports and Publications (EIA)

    2010-01-01

    Provides an in-depth look at this building type as reported in the 2003 Commercial Buildings Energy Consumption Survey. Office buildings are the most common type of commercial building and they consumed more than 17% of all energy in the commercial buildings sector in 2003. This special report provides characteristics and energy consumption data by type of office building (e.g. administrative office, government office, medical office) and information on some of the types of equipment found in office buildings: heating and cooling equipment, computers, servers, printers, and photocopiers.

  20. US Mnt(N) CO Site Consumption

    Gasoline and Diesel Fuel Update (EIA)

    Mnt(N) CO Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US Mnt(N) CO Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US Mnt(N) CO Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US Mnt(N) CO Expenditures dollars ELECTRICITY ONLY average per household * Colorado households consume an average of 103 million Btu per year, 15% more than the U.S. average. * Average household energy costs in

  1. State energy data report 1995 - consumption estimates

    SciTech Connect (OSTI)

    1997-12-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public, and (2) to provide the historical series necessary for EIA`s energy models.

  2. Standby power consumption in U.S. residences

    SciTech Connect (OSTI)

    Huber, W.

    1997-12-01

    {open_quotes}Leaking electricity{close_quotes} is the electricity consumed by appliances while they are switched {open_quotes}off{close_quote} or not performing their principal function. Leaking electricity represents approximately 5 % of U.S. residential electricity. This is a relatively new phenomenon and is a result of proliferation of electronic equipment in homes. The standby losses in TVs, VCRs, compact audio systems, and cable boxes account for almost 40% of all leaking electricity. There is a wide range in standby losses in each appliance group. For example, standby losses in compact audio systems range from 2.1 to 28.6 W, even though their features are identical. In some cases, leaking electricity while switched off was only slightly less than energy consumption in the on mode. New features in these appliances may greatly increase leaking electricity, such as electronic program guides in TVs and cable boxes. In the standby mode, these new features require many extra components energized to permit the downloading of information. Several techniques are available to cut standby losses, most without using any new technologies. Simple redesign of circuits to avoid energizing unused components appears to save the most energy. A separate power supply, precisely designed for the actual power needed, is another solution. A switch mode power supply can substitute for the less efficient linear power supply. Switch mode power supplies cut no-load and standby losses by 60-80%. The combination of these techniques can cut leaking electricity by greater than 75%.

  3. 1999 Commercial Buildings Energy Consumption Survey Detailed Tables

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

    Consumption and Expenditures Tables Table C1. Total Energy Consumption by Major Fuel ............................................... 124 Table C2. Total Energy Expenditures by Major Fuel................................................ 130 Table C3. Consumption for Sum of Major Fuels ...................................................... 135 Table C4. Expenditures for Sum of Major Fuels....................................................... 140 Table C5. Consumption and Gross Energy Intensity by

  4. Organotin intake through fish consumption in Finland

    SciTech Connect (OSTI)

    Airaksinen, Riikka; Rantakokko, Panu; Turunen, Anu W.; Vartiainen, Terttu; Vuorinen, Pekka J.; Lappalainen, Antti; Vihervuori, Aune; Mannio, Jaakko; Hallikainen, Anja

    2010-08-15

    Background: Organotin compounds (OTCs) are a large class of synthetic chemicals with widely varying properties. Due to their potential adverse health effects, their use has been restricted in many countries. Humans are exposed to OTCs mostly through fish consumption. Objectives: The aim of this study was to describe OTC exposure through fish consumption and to assess the associated potential health risks in a Finnish population. Methods: An extensive sampling of Finnish domestic fish was carried out in the Baltic Sea and freshwater areas in 2005-2007. In addition, samples of imported seafood were collected in 2008. The chemical analysis was performed in an accredited testing laboratory during 2005-2008. Average daily intake of the sum of dibutyltin (DBT), tributyltin (TBT), triphenyltin (TPhT) and dioctyltin (DOT) ({Sigma}OTCs) for the Finnish population was calculated on the basis of the measured concentrations and fish consumption rates. Results: The average daily intake of {Sigma}OTCs through fish consumption was 3.2 ng/kg bw day{sup -1}, which is 1.3% from the Tolerable Daily Intake (TDI) of 250 ng/kg bw day{sup -1} set by the European Food Safety Authority. In total, domestic wild fish accounted for 61% of the {Sigma}OTC intake, while the intake through domestic farmed fish was 4.0% and the intake through imported fish was 35%. The most important species were domestic perch and imported salmon and rainbow trout. Conclusions: The Finnish consumers are not likely to exceed the threshold level for adverse health effects due to OTC intake through fish consumption.

  5. Derived annual estimates of manufacturing energy consumption, 1974--1988. [Contains glossary

    SciTech Connect (OSTI)

    Not Available

    1992-08-05

    This report presents a complete series of annual estimates of purchased energy used by the manufacturing sector of the US economy, for the years 1974 to 1988. These estimates interpolate over gaps in the actual data collections, by deriving estimates for the missing years 1982--1984 and 1986--1987. For the purposes of this report, purchased'' energy is energy brought from offsite for use at manufacturing establishments, whether the energy is purchased from an energy vendor or procured from some other source. The actual data on purchased energy comes from two sources, the US Department of Commerce Bureau of the Census's Annual Survey of Manufactures (ASM) and EIA's Manufacturing Energy Consumption Survey (MECS). The ASM provides annual estimates for the years 1974 to 1981. However, in 1982 (and subsequent years) the scope of the ASM energy data was reduced to collect only electricity consumption and expenditures and total expenditures for other purchased energy. In 1985, EIA initiated the triennial MECS collecting complete energy data. The series equivalent to the ASM is referred to in the MECS as offsite-produced fuels.''

  6. Energy consumption series: Lighting in commercial buildings

    SciTech Connect (OSTI)

    Not Available

    1992-03-11

    Lighting represents a substantial fraction of commercial electricity consumption. A wide range of initiatives in the Department of Energy`s (DOE) National Energy Strategy have focused on commercial lighting as a potential source of energy conservation. This report provides a statistical profile of commercial lighting, to examine the potential for lighting energy conservation in commercial buildings. The principal conclusion from this analysis is that energy use for lighting could be reduced by as much as a factor of four using currently available technology. The analysis is based primarily on the Energy Information Administration`s (EIA) 1986 Commercial Buildings Energy Consumption Survey (CBECS). The more recent 1989 survey had less detail on lighting, for budget reasons. While changes have occurred in the commercial building stock since 1986, the relationships identified by this analysis are expected to remain generally valid. In addition, the analytic approach developed here can be applied to the data that will be collected in the 1992 CBECS.

  7. Household Energy Consumption Segmentation Using Hourly Data

    SciTech Connect (OSTI)

    Kwac, J; Flora, J; Rajagopal, R

    2014-01-01

    The increasing US deployment of residential advanced metering infrastructure (AMI) has made hourly energy consumption data widely available. Using CA smart meter data, we investigate a household electricity segmentation methodology that uses an encoding system with a pre-processed load shape dictionary. Structured approaches using features derived from the encoded data drive five sample program and policy relevant energy lifestyle segmentation strategies. We also ensure that the methodologies developed scale to large data sets.

  8. Residential Energy Consumption Survey (RECS) - Energy Information

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

    Administration U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources & Uses Petroleum & Other Liquids Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. Natural Gas Exploration and reserves, storage, imports and exports, production, prices, sales. Electricity Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand & emissions. Consumption &

  9. Impact of conservation measures on Pacific Northwest residential energy consumption. Final report

    SciTech Connect (OSTI)

    Moe, R.J.; Owzarski, S.L.; Streit, L.P.

    1983-04-01

    The objective of this study was to estimate the relationship between residential space conditioning energy use and building conservation programs in the Pacific Northwest. The study was divided into two primary tasks. In the first, the thermal relationship between space conditioning energy consumption under controlled conditions and the physical characteristics of the residence was estimated. In this task, behavioral characteristics such as occupant schedules and thermostat settings were controlled in order to isolate the physical relationships. In the second task, work from the first task was used to calculate the thermal efficiency of a residence's shell. Thermal efficiency was defined as the ability of a shell to prevent escapement of heat generated within a building. The relationship between actual space conditioning energy consumption and the shell thermal efficiency was then estimated. Separate thermal equations for mobile homes, single-family residences, and multi-family residences are presented. Estimates of the relationship between winter electricity consumption for heating and the building's thermal shell efficiency are presented for each of the three building categories.

  10. Connecticut Natural Gas Total Consumption (Million Cubic Feet...

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

    Total Consumption (Million Cubic Feet) Connecticut Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

  11. Maine Natural Gas Total Consumption (Million Cubic Feet)

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

    Total Consumption (Million Cubic Feet) Maine Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

  12. Maine Natural Gas Vehicle Fuel Consumption (Million Cubic Feet...

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

    Vehicle Fuel Consumption (Million Cubic Feet) Maine Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  13. Novel Ultra-Low-Energy Consumption Ultrasonic Clothes Dryer ...

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

    Novel Ultra-Low-Energy Consumption Ultrasonic Clothes Dryer Novel Ultra-Low-Energy Consumption Ultrasonic Clothes Dryer Watch the ultrasonic technology dry a piece of fabric in 14 ...

  14. Trends in U.S. Residential Natural Gas Consumption

    Reports and Publications (EIA)

    2010-01-01

    This report presents an analysis of residential natural gas consumption trends in the United States through 2009 and analyzes consumption trends for the United States as a whole (1990 through 2009) and for each Census division (1998 through 2009).

  15. Impact of Extended Daylight Saving Time on National Energy Consumption...

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

    Report to Congress Impact of Extended Daylight Saving Time on National Energy Consumption, ... on the impacts of Extended Daylight Saving Time on the U.S. national energy consumption. ...

  16. Fact #704: December 5, 2011 Fuel Consumption Standards for New...

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

    4: December 5, 2011 Fuel Consumption Standards for New Heavy Pickups and Vans Fact 704: December 5, 2011 Fuel Consumption Standards for New Heavy Pickups and Vans In September ...

  17. Arizona Natural Gas Lease and Plant Fuel Consumption (Million...

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

    and Plant Fuel Consumption (Million Cubic Feet) Arizona Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

  18. Arizona Natural Gas Lease Fuel Consumption (Million Cubic Feet...

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

    Fuel Consumption (Million Cubic Feet) Arizona Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

  19. Arizona Natural Gas Total Consumption (Million Cubic Feet)

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

    Total Consumption (Million Cubic Feet) Arizona Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

  20. Residential Energy Consumption Survey (RECS) - Data - U.S. Energy...

    Gasoline and Diesel Fuel Update (EIA)

    Housing characteristics Consumption & expenditures Microdata Housing Characteristics Tables + EXPAND ALL Floorspace - Housing Characteristics PDF (all tables) Total Floorspace All, ...

  1. Federal Government's Energy Consumption Lowest in Almost 40 Years |

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

    Department of Energy Government's Energy Consumption Lowest in Almost 40 Years Federal Government's Energy Consumption Lowest in Almost 40 Years February 11, 2015 - 3:49am Addthis Energy consumption by the federal government has been steadily declining for nearly four decades. Much of the decline in recent years can be attributed to a decrease in the use of jet fuel at agencies like the Air Force. | Air Force photo Energy consumption by the federal government has been steadily declining for

  2. Visualization of United States Renewable Consumption | Open Energy...

    Open Energy Info (EERE)

    Visualization of United States Renewable Consumption AgencyCompany Organization: Energy Information Administration Sector: Energy Resource Type: Softwaremodeling tools User...

  3. Appliance Energy Consumption in Australia | Open Energy Information

    Open Energy Info (EERE)

    ?viewPublicatio Equivalent URI: cleanenergysolutions.orgcontentappliance-energy-consumption-australi DeploymentPrograms: Industry Codes & Standards Regulations:...

  4. Canada's Fuel Consumption Guide Website | Open Energy Information

    Open Energy Info (EERE)

    URI: cleanenergysolutions.orgcontentcanadas-fuel-consumption-guide-websit Language: English Policies: Regulations Regulations: Fuel Efficiency Standards This website...

  5. User-needs study for the 1992 Commercial Buildings Energy Consumption Survey. [Energy Consumption Series

    SciTech Connect (OSTI)

    Not Available

    1992-09-01

    The Commercial Buildings Energy Consumption Survey (CBECS) that is conducted by the Energy Information Administration (EIA) is the primary source of energy data for commercial buildings in the United States. The survey began in 1979 and has subsequently been conducted in 1983, 1986, and 1989. The next survey will cover energy consumption during the year 1992. The building characteristic data will be collected between August 1992 and early December 1992. Requests for energy consumption data are mailed to the energy suppliers in January 1993, with data due by March 1993. Before each survey is sent into the field, the data users' needs are thoroughly assessed. The purpose of this report is to document the findings of that user-needs assessment for the 1992 survey.

  6. Electrical energy consumption control apparatuses and electrical energy consumption control methods

    DOE Patents [OSTI]

    Hammerstrom, Donald J.

    2012-09-04

    Electrical energy consumption control apparatuses and electrical energy consumption control methods are described. According to one aspect, an electrical energy consumption control apparatus includes processing circuitry configured to receive a signal which is indicative of current of electrical energy which is consumed by a plurality of loads at a site, to compare the signal which is indicative of current of electrical energy which is consumed by the plurality of loads at the site with a desired substantially sinusoidal waveform of current of electrical energy which is received at the site from an electrical power system, and to use the comparison to control an amount of the electrical energy which is consumed by at least one of the loads of the site.

  7. Housing characteristics, 1987: Residential Energy Consumption Survey

    SciTech Connect (OSTI)

    Not Available

    1989-05-26

    This report is the first of a series of reports based on data from the 1987 RECS. The 1987 RECS is the seventh in the series of national surveys of households and their energy suppliers. These surveys provide baseline information on how households in the United States use energy. A cross section of housing types such as single-family detached homes, townhouses, large and small apartment buildings, condominiums, and mobile homes were included in the survey. Data from the RECS and a companion survey, the Residential Transportation Energy Consumption Survey (RTECS), are available to the public in published reports such as this one and on public use tapes. 10 figs., 69 tabs.

  8. Household energy consumption and expenditures, 1990. [Contains Glossary

    SciTech Connect (OSTI)

    Not Available

    1993-03-02

    This report, Household Energy Consumption and Expenditures 1990, is based upon data from the 1990 Residential Energy Consumption Survey (RECS). Focusing on energy end-use consumption and expenditures of households, the 1990 RECS is the eighth in a series conducted since 1978 by the Energy Information Administration (EIA). Over 5,000 households were surveyed, providing information on their housing units, housing characteristics, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information provided represents the characteristics and energy consumption of 94 million households nationwide.

  9. Table E7.1. Consumption Ratios of Fuel, 1998

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

    1. Consumption Ratios of Fuel, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,"Consumption" " ",,"Consumption","per Dollar"," " " ","Consumption","per Dollar","of Value","RSE" "Economic","per Employee","of Value

  10. A Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of Buildings Using 30-Year Actual Weather Data

    SciTech Connect (OSTI)

    Hong, Tianzhen; Chang, Wen-Kuei; Lin, Hung-Wen

    2013-05-01

    Buildings consume more than one third of the world?s total primary energy. Weather plays a unique and significant role as it directly affects the thermal loads and thus energy performance of buildings. The traditional simulated energy performance using Typical Meteorological Year (TMY) weather data represents the building performance for a typical year, but not necessarily the average or typical long-term performance as buildings with different energy systems and designs respond differently to weather changes. Furthermore, the single-year TMY simulations do not provide a range of results that capture yearly variations due to changing weather, which is important for building energy management, and for performing risk assessments of energy efficiency investments. This paper employs large-scale building simulation (a total of 3162 runs) to study the weather impact on peak electricity demand and energy use with the 30-year (1980 to 2009) Actual Meteorological Year (AMY) weather data for three types of office buildings at two design efficiency levels, across all 17 ASHRAE climate zones. The simulated results using the AMY data are compared to those from the TMY3 data to determine and analyze the differences. Besides further demonstration, as done by other studies, that actual weather has a significant impact on both the peak electricity demand and energy use of buildings, the main findings from the current study include: 1) annual weather variation has a greater impact on the peak electricity demand than it does on energy use in buildings; 2) the simulated energy use using the TMY3 weather data is not necessarily representative of the average energy use over a long period, and the TMY3 results can be significantly higher or lower than those from the AMY data; 3) the weather impact is greater for buildings in colder climates than warmer climates; 4) the weather impact on the medium-sized office building was the greatest, followed by the large office and then the small office; and 5) simulated energy savings and peak demand reduction by energy conservation measures using the TMY3 weather data can be significantly underestimated or overestimated. It is crucial to run multi-decade simulations with AMY weather data to fully assess the impact of weather on the long-term performance of buildings, and to evaluate the energy savings potential of energy conservation measures for new and existing buildings from a life cycle perspective.

  11. Table 11b. Coal Prices to Electric Generating Plants, Projected vs. Actual

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

    b. Coal Prices to Electric Generating Plants, Projected vs. Actual" "Projected Price in Nominal Dollars" " (nominal dollars per million Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO

  12. Table 3b. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual

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

    b. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual" "Projected Price in Nominal Dollars" " (nominal dollars per barrel)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO

  13. "Table 2. Real Gross Domestic Product Growth Trends, Projected vs. Actual"

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

    Real Gross Domestic Product Growth Trends, Projected vs. Actual" "Projected Real GDP Growth Trend" " (cumulative average percent growth in projected real GDP from first year shown for each AEO)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO

  14. PIA - Form EIA-475 A/G Residential Energy Consumption Survey...

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

    Form EIA-475 AG Residential Energy Consumption Survey PIA - Form EIA-475 AG Residential Energy Consumption Survey PIA - Form EIA-475 AG Residential Energy Consumption Survey PDF ...

  15. Actual and Estimated Energy Savings Comparison for Deep Energy Retrofits in the Pacific Northwest

    SciTech Connect (OSTI)

    Blanchard, Jeremy; Widder, Sarah H.; Giever, Elisabeth L.; Baechler, Michael C.

    2012-10-01

    Seven homes from the Pacific Northwest were selected to evaluate the differences between estimated and actual energy savings achieved from deep energy retrofits. The energy savings resulting from these retrofits were estimated, using energy modeling software, to save at least 30% on a whole-house basis. The modeled pre-retrofit energy use was trued against monthly utility bills. After the retrofits were completed, each of the homes was extensively monitored, with the exception of one home which was monitored pre-retrofit. This work is being conducted by Pacific Northwest National Laboratory (PNNL) for the U.S. Department of Energy Building Technologies Program as part of the Building America Program. This work found many discrepancies between actual and estimated energy savings and identified the potential causes for the discrepancies. The differences between actual energy use and modeled energy use also suggest improvements to improve model accuracy. The difference between monthly whole-house actual and estimated energy savings ranged from 75% more energy saved than predicted by the model to 16% less energy saved for all the monitored homes. Similarly, the annual energy savings difference was between 36% and -14%, which was estimated based on existing monitored savings because an entire year of data is not available. Thus, on average, for all six monitored homes the actual energy use is consistently less than estimates, indicating home owners are saving more energy than estimated. The average estimated savings for the eight month monitoring period is 43%, compared to an estimated savings average of 31%. Though this average difference is only 12%, the range of inaccuracies found for specific end-uses is far greater and are the values used to directly estimate energy savings from specific retrofits. Specifically, the monthly post-retrofit energy use differences for specific end-uses (i.e., heating, cooling, hot water, appliances, etc.) ranged from 131% under-predicted to 77% over-predicted by the model with respect to monitored energy use. Many of the discrepancies were associated with occupant behavior which influences energy use, dramatically in some cases, actual versus modeled weather differences, modeling input limitations, and complex homes that are difficult to model. The discrepancy between actual and estimated energy use indicates a need for better modeling tools and assumptions. Despite the best efforts of researchers, the estimated energy savings are too inaccurate to determine reliable paybacks for retrofit projects. While the monitored data allows researchers to understand why these differences exist, it is not cost effective to monitor each home with the level of detail presented here. Therefore an appropriate balance between modeling and monitoring must be determined for more widespread application in retrofit programs and the home performance industry. Recommendations to address these deficiencies include: (1) improved tuning process for pre-retrofit energy use, which currently utilized broad-based monthly utility bills; (2) developing simple occupant-based energy models that better address the many different occupant types and their impact on energy use; (3) incorporating actual weather inputs to increase accuracy of the tuning process, which uses utility bills from specific time period; and (4) developing simple, cost-effective monitoring solutions for improved model tuning.

  16. Reaction chemistry of nitrogen species in hydrothermal systems: Simple reactions, waste simulants, and actual wastes

    SciTech Connect (OSTI)

    Dell`Orco, P.; Luan, L.; Proesmans, P.; Wilmanns, E.

    1995-02-01

    Results are presented from hydrothermal reaction systems containing organic components, nitrogen components, and an oxidant. Reaction chemistry observed in simple systems and in simple waste simulants is used to develop a model which presents global nitrogen chemistry in these reactive systems. The global reaction path suggested is then compared with results obtained for the treatment of an actual waste stream containing only C-N-0-H species.

  17. "Table 21. Total Energy Related Carbon Dioxide Emissions, Projected vs. Actual"

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

    Total Energy Related Carbon Dioxide Emissions, Projected vs. Actual" "Projected" " (million metric tons)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",5060,5129.666667,5184.666667,5239.666667,5287.333333,5335,5379,5437.666667,5481.666667,5529.333333,5599,5657.666667,5694.333333,5738.333333,5797,5874,5925.333333,5984 "AEO

  18. Dose Rate Analysis Capability for Actual Spent Fuel Transportation Cask Contents

    SciTech Connect (OSTI)

    Radulescu, Georgeta; Lefebvre, Robert A; Peplow, Douglas E.; Williams, Mark L; Scaglione, John M

    2014-01-01

    The approved contents for a U.S. Nuclear Regulatory Commission (NRC) licensed spent nuclear fuel casks are typically based on bounding used nuclear fuel (UNF) characteristics. However, the contents of the UNF canisters currently in storage at independent spent fuel storage installations are considerably heterogeneous in terms of fuel assembly burnup, initial enrichment, decay time, cladding integrity, etc. Used Nuclear Fuel Storage, Transportation & Disposal Analysis Resource and Data System (UNF ST&DARDS) is an integrated data and analysis system that facilitates automated cask-specific safety analyses based on actual characteristics of the as-loaded UNF. The UNF-ST&DARDS analysis capabilities have been recently expanded to include dose rate analysis of as-loaded transportation packages. Realistic dose rate values based on actual canister contents may be used in place of bounding dose rate values to support development of repackaging operations procedures, evaluation of radiation-related transportation risks, and communication with stakeholders. This paper describes the UNF-ST&DARDS dose rate analysis methodology based on actual UNF canister contents and presents sample dose rate calculation results.

  19. Treatability studies of actual listed waste sludges from the Oak Ridge Reservation (ORR)

    SciTech Connect (OSTI)

    Jantzen, C.M.; Peeler, D.K.; Gilliam, T.M.; Bleier, A.; Spence, R.D.

    1996-05-06

    Oak Ridge National Laboratory (ORNL) and Savannah River Technology Center (SRTC) are investigating vitrification for various low-level and mixed wastes on the Oak Ridge Reservation (ORR). Treatability studies have included surrogate waste formulations at the laboratory-, pilot-, and field-scales and actual waste testing at the laboratory- and pilot-scales. The initial waste to be processing through SRTC`s Transportable Vitrification System (TVS) is the K-1407-B and K-1407-C (B/C) Pond sludge waste which is a RCRA F-listed waste. The B/C ponds at the ORR K-25 site were used as holding and settling ponds for various waste water treatment streams. Laboratory-, pilot-, and field- scale ``proof-of-principle`` demonstrations are providing needed operating parameters for the planned field-scale demonstration with actual B/C Pond sludge waste at ORR. This report discusses the applied systems approach to optimize glass compositions for this particular waste stream through laboratory-, pilot-, and field-scale studies with surrogate and actual B/C waste. These glass compositions will maximize glass durability and waste loading while optimizing melt properties which affect melter operation, such as melt viscosity and melter refractory corrosion. Maximum waste loadings minimize storage volume of the final waste form translating into considerable cost savings.

  20. Fossil Fuel-Generated Energy Consumption Reduction for New Federal

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

    Buildings and Major Renovations of Federal Buildings | Department of Energy Buildings Fossil Fuel-Generated Energy Consumption Reduction for New Federal Buildings and Major Renovations of Federal Buildings Document details Fossil Fuel-Generated Energy Consumption Reduction for New Federal Buildings and Major Renovations of Federal Buildings in a Supplemental Notice of Proposed Rulemaking. File fossilfuel.docx More Documents & Publications Fossil Fuel-Generated Energy Consumption

  1. Major Corporate Fleets Align to Reduce Oil Consumption | Department of

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

    Energy Corporate Fleets Align to Reduce Oil Consumption Major Corporate Fleets Align to Reduce Oil Consumption April 1, 2011 - 1:07pm Addthis President Obama announces the National Clean Fleets Partnership to help companies reduce fuel usage by incorporating electric vehicles, alternative fuels, and conservation techniques. Dennis A. Smith Director, National Clean Cities What does this project do? Cuts oil imports and consumption Helps businesses save money Increases the efficiency of

  2. Impact of Extended Daylight Saving Time on National Energy Consumption,

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

    Report to Congress | Department of Energy Report to Congress Impact of Extended Daylight Saving Time on National Energy Consumption, Report to Congress This report presents the detailed results, data, and analytical methods used in the DOE Report to Congress on the impacts of Extended Daylight Saving Time on the U.S. national energy consumption. PDF icon Report to Congress More Documents & Publications Impact of Extended Daylight Saving Time on National Energy Consumption, Technical

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

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

    Information Administration (EIA) 1 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive Data Methodology & Forms + EXPAND ALL Consumption of Energy for All Purposes (First Use) Total Primary Consumption of Energy for All Purposes by Census Region, Industry Group, and Selected Industries, 1991: Part 1 (Estimates in Btu or Physical Units) XLS Total Primary Consumption of Energy for All Purposes by Census Region, Industry Group, and Selected Industries, 1991: Part 2 (Estimates

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

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

    Information Administration (EIA) 4 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive Data Methodology & Forms + EXPAND ALL Consumption of Energy for All Purposes (First Use) Total First Use (formerly Primary Consumption) of Energy for All Purposes by Census Region, Census Division, Industry Group, and Selected Industries, 1994: Part 1 (Estimates in Btu or Physical Units) XLS Total First Use (formerly Primary Consumption) of Energy for All Purposes by Census Region,

  5. SEP Request for Approval Form 7 - Other Situations for Consumption

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

    Adjustment | Department of Energy 7 - Other Situations for Consumption Adjustment SEP Request for Approval Form 7 - Other Situations for Consumption Adjustment File SEP-Request-for-Approval-Form-7_Other-Situations-for-Consumption-Adjustment.docx More Documents & Publications SEP Request for Approval Form 6 - Non-Routine Adjustments SEP Request for Approval Form 5 - Model Does Not Satisfy 3.4.1-3.4.10 Requirements SEP Request for Approval Form 4 - Alternative Adjustment Model Application

  6. Comparison of Real World Energy Consumption to Models and DOE...

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

    PDF icon Comparison of Real World Energy Consumption to Models and Department of Energy ... Vehicle Technologies Office Merit Review 2015: Analyzing Real-World Light Duty ...

  7. Fossil Fuel-Generated Energy Consumption Reduction for New Federal...

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

    Buildings Fossil Fuel-Generated Energy Consumption Reduction for New Federal Buildings and Major Renovations of Federal Buildings Document details Fossil Fuel-Generated Energy ...

  8. Residential Energy Consumption Survey (RECS) - Data - U.S. Energy...

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

    Housing characteristics Consumption & expenditures Microdata Methodology Housing Characteristics Tables + EXPAND ALL Tables HC1: Housing Unit Characteristics, Million U.S. ...

  9. Fossil Fuel-Generated Energy Consumption Reduction for New Federal...

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

    the Fossil Fuel-Generated Energy Consumption Reduction for New Federal Buildings and Major Renovations of Federal Buildings in an OIRA Comparison Document. File ...

  10. Commercial Buildings Energy Consumption Survey (CBECS) - U.S...

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

    The Commercial Buildings Energy Consumption Survey (CBECS) is a national-level sample survey of commercial buildings and their energy suppliers conducted quadrennially (previously ...

  11. Commercial Buildings Energy Consumption Survey (CBECS) - U.S...

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

    Building Type Definitions In the Commercial Buildings Energy Consumption Survey (CBECS), buildings are classified according to principal activity, which is the primary business, ...

  12. Commercial Buildings Energy Consumption Survey (CBECS) - U.S...

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

    Relationship of CBECS Coverage to EIA Supply Surveys The primary purpose of the CBECS is to collect accurate statistics of energy consumption by individual buildings. EIA also ...

  13. Estimating Monthly 1989-2000 Data for Generation, Consumption...

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

    Monthly Energy Review, Section 7: Estimating Monthly 1989-2000 Data for Generation, Consumption, and Stocks For 1989-2000, monthly and annual data were collected for electric ...

  14. South Dakota Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    South Dakota Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Plant Fuel Consumption South Dakota Natural Gas Consumption by End Use Plant Fuel Consumption of Natural Gas

  15. Trends in Commercial Buildings--Energy Sources Consumption Tables

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

    ** estimates adjusted to match the 1995 CBECS definition of target population Energy Information Administration Commercial Buildings Energy Consumption Survey Table 2....

  16. ,"New Hampshire Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Hampshire ...

  17. ,"Rhode Island Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Rhode Island ...

  18. International Energy Outlook 2016-Industrial sector energy consumption...

    Gasoline and Diesel Fuel Update (EIA)

    Industrial sector energy consumption also includes basic chemical feedstocks. Natural gas ... For any given amount of chemical output, depending on the fundamental chemical process of ...

  19. The Impact of Oil Consumption Mechanisms on Diesel Exhaust Particle...

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

    Mass Correlation of Engine Emissions with Spectral Instruments Lubricant Formulation and Consumption Effects on Diesel Exhaust Ash Emissions: Chemical and Physical Characteristics ...

  20. ,"New Mexico Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Annual",2014 ,"Release Date:","930...

  1. ,"New Mexico Natural Gas Plant Fuel Consumption (MMcf)"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Plant Fuel Consumption (MMcf)",1,"Annual",2014 ,"Release Date:","930...

  2. ,"New Mexico Natural Gas Lease and Plant Fuel Consumption (MMcf...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Lease and Plant Fuel Consumption (MMcf)",1,"Annual",1998 ,"Release...

  3. ,"New Mexico Natural Gas Lease Fuel Consumption (MMcf)"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Lease Fuel Consumption (MMcf)",1,"Annual",2014 ,"Release Date:","930...

  4. Power to the Plug: An Introduction to Energy, Electricity, Consumption...

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

    Grades: All Topics: Biomass, Wind Energy, Hydropower, Solar, Geothermal Owner: The NEED Project Power to the Plug: An Introduction to Energy, Electricity, Consumption, and...

  5. Table 2b. Relative Standard Errors for Electricity Consumption...

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

    2b. Relative Standard Errors for Electricity Table 2b. Relative Standard Errors for Electricity Consumption and Electricity Intensities, per Square Foot, Specific to Occupied and...

  6. Table 6b. Relative Standard Errors for Total Electricity Consumption...

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

    b. Relative Standard Errors for Total Electricity Consumption per Effective Occupied Square Foot, 1992 Building Characteristics All Buildings Using Electricity (thousand) Total...

  7. ,"Total District Heat Consumption (trillion Btu)",,,,,"District...

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

    Heat Consumption (trillion Btu)",,,,,"District Heat Energy Intensity (thousand Btusquare foot)" ,"Total ","Space Heating","Water Heating","Cook- ing","Other","Total ","Space...

  8. ,"Total Natural Gas Consumption (trillion Btu)",,,,,"Natural...

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

    Gas Consumption (trillion Btu)",,,,,"Natural Gas Energy Intensity (thousand Btusquare foot)" ,"Total ","Space Heating","Water Heating","Cook- ing","Other","Total ","Space...

  9. Residential Energy Consumption Survey (RECS) - Data - U.S. Energy...

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

    HC7 Home Office Equipment, Million U.S. Households PDF PDF Household Energy Usage The 1997 Residential Energy Consumption Survey (RECS) collected household energy data for the ...

  10. Commercial Buildings Energy Consumption Survey 2003 - Detailed Tables

    Reports and Publications (EIA)

    2008-01-01

    The tables contain information about energy consumption and expenditures in U.S. commercial buildings and information about energy-related characteristics of these buildings.

  11. Impact of Extended Daylight Saving Time on National Energy Consumption...

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

    Technical Documentation Impact of Extended Daylight Saving Time on National Energy ... of Extended Daylight Saving Time on the national energy consumption in the United States. ...

  12. Fact #706: December 19, 2011 Vocational Vehicle Fuel Consumption Standards

    Broader source: Energy.gov [DOE]

    The National Highway Traffic Safety Administration recently published final fuel consumption standards for heavy vehicles called "vocational" vehicles. A vocational vehicle is generally a single...

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

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

    reports, data tables and questionnaires Released: May 2008 The Manufacturing Energy Consumption Survey (MECS) is a periodic national sample survey devoted to measuring...

  14. Fact #705: December 12, 2011 Fuel Consumption Standards for Combinatio...

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

    mid, and high), gross vehicle weight rating (class 7 and 8), and types of tractor (day cab, sleeper cab). Combination Tractor Fuel Consumption Standards, Model Years (MY)...

  15. Reducing Light Duty Vehicle Fuel Consumption and Greenhouse Gas...

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

    and Greenhouse Gas Emissions: The Combined Potential of Hybrid Technology and Behavioral Adaptation Title Reducing Light Duty Vehicle Fuel Consumption and Greenhouse Gas...

  16. Fuel Consumption and Cost Benefits of DOE Vehicle Technologies...

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

    Cost Benefits of DOE Vehicle Technologies Program Fuel Consumption and Cost Benefits of DOE Vehicle Technologies Program 2012 DOE Hydrogen and Fuel Cells Program and Vehicle ...

  17. Estimating Methods for Determining End-Use Water Consumption

    Broader source: Energy.gov [DOE]

    The Federal Building Metering Guidance specifies buildings with water using processes and whole building water consumption that exceeds 1,000 gallons per day must have a water meter installed. Below are methods for estimating daily water use for typical end-uses that drive building-level, end-use water consumption.

  18. Actual versus predicted impacts of three ethanol plants on aquatic and terrestrial resources

    SciTech Connect (OSTI)

    Eddlemon, G.K.; Webb, J.W.; Hunsaker, D.B. Jr.; Miller, R.L.

    1993-03-15

    To help reduce US dependence on imported petroleum, Congress passed the Energy Security Act of 1980 (public Law 96-294). This legislation authorized the US Department of Energy (DOE) to promote expansion of the fuel alcohol industry through, among other measures, its Alcohol Fuels Loan Guarantee Program. Under this program, selected proposals for the conversion of plant biomass into fuel-grade ethanol would be granted loan guarantees. of 57 applications submitted for loan guarantees to build and operate ethanol fuel projects under this program, 11 were considered by DOE to have the greatest potential for satisfying DOE`s requirements and goals. In accordance with the National Environmental Policy Act (NEPA), DOE evaluated the potential impacts of proceeding with the Loan Guarantee Program in a programmatic environmental assessment (DOE 1981) that resulted in a finding of no significant impact (FANCY) (47 Federal Register 34, p. 7483). The following year, DOE conducted site-specific environmental assessments (EAs) for 10 of the proposed projects. These F-As predicted no significant environmental impacts from these projects. Eventually, three ethanol fuel projects received loan guarantees and were actually built: the Tennol Energy Company (Tennol; DOE 1982a) facility near Jasper in southeastern Tennessee; the Agrifuels Refining Corporation (Agrifuels; DOE 1985) facility near New Liberia in southern Louisiana; and the New Energy Company of Indiana (NECI; DOE 1982b) facility in South Bend, Indiana. As part of a larger retrospective examination of a wide range of environmental effects of ethanol fuel plants, we compared the actual effects of the three completed plants on aquatic and terrestrial resources with the effects predicted in the NEPA EAs several years earlier. A secondary purpose was to determine: Why were there differences, if any, between actual effects and predictions? How can assessments be improved and impacts reduced?

  19. TESTING OF THE SPINTEK ROTARY MICROFILTER USING ACTUAL HANFORD WASTE SAMPLES

    SciTech Connect (OSTI)

    HUBER HJ

    2010-04-13

    The SpinTek rotary microfilter was tested on actual Hanford tank waste. The samples were a composite of archived Tank 241-AN-105 material and a sample representing single-shell tanks (SST). Simulants of the two samples have been used in non-rad test runs at the 222-S laboratory and at Savannah River National Laboratory (SRNL). The results of these studies are compared in this report. Two different nominal pore sizes for the sintered steel rotating disk filter were chosen: 0.5 and 0.1 {micro}m. The results suggest that the 0.5-{micro}m disk is preferable for Hanford tank waste for the following reasons: (1) The filtrate clarity is within the same range (<<4 ntu for both disks); (2) The filtrate flux is in general higher for the 0.5-{micro}m disk; and (3) The 0.1-{micro}m disk showed a higher likelihood of fouling. The filtrate flux of the actual tank samples is generally in the range of 20-30% compared to the equivalent non-rad tests. The AN-105 slurries performed at about twice the filtrate flux of the SST slurries. The reason for this difference has not been identified. Particle size distributions in both cases are very similar; comparison of the chemical composition is not conclusive. The sole hint towards what material was stuck in the filter pore holes came from the analysis of the dried flakes from the surface of the fouled 0.1-{micro}m disk. A cleaning approach developed by SRNL personnel to deal with fouled disks has been found adaptable when using actual Hanford samples. The use of 1 M nitric acid improved the filtrate flux by approximately two times; using the same simulants as in the non-rad test runs showed that the filtrate flux was restored to 1/2 of its original amount.

  20. Table 21. Total Energy Related Carbon Dioxide Emissions, Projected vs. Actual

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

    Total Energy Related Carbon Dioxide Emissions, Projected vs. Actual Projected (million metric tons) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 5060 5130 5185 5240 5287 5335 5379 5438 5482 5529 5599 5658 5694 5738 5797 5874 5925 5984 AEO 1995 5137 5174 5188 5262 5309 5361 5394 5441 5489 5551 5621 5680 5727 5775 5841 5889 5944 AEO 1996 5182 5224 5295 5355 5417 5464 5525 5589 5660 5735 5812 5879 5925 5981 6030 6087 6142 6203

  1. Table 3a. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual

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

    a. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual" "Projected Price in Constant Dollars" " (constant dollars per barrel in ""dollar year"" specific to each AEO)" ,"AEO $ Year",1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",1992,16.69,16.42999,16.9899,17.66,18.28,19.0599,19.89,20.72,21.65,22.61,23.51,24.29,24.9,25.6,26.3,27,27.64,28.16

  2. Method and apparatus for distinguishing actual sparse events from sparse event false alarms

    DOE Patents [OSTI]

    Spalding, Richard E. (Albuquerque, NM); Grotbeck, Carter L. (Albuquerque, NM)

    2000-01-01

    Remote sensing method and apparatus wherein sparse optical events are distinguished from false events. "Ghost" images of actual optical phenomena are generated using an optical beam splitter and optics configured to direct split beams to a single sensor or segmented sensor. True optical signals are distinguished from false signals or noise based on whether the ghost image is presence or absent. The invention obviates the need for dual sensor systems to effect a false target detection capability, thus significantly reducing system complexity and cost.

  3. ACTUAL WASTE TESTING OF GYCOLATE IMPACTS ON THE SRS TANK FARM

    SciTech Connect (OSTI)

    Martino, C.

    2014-05-28

    Glycolic acid is being studied as a replacement for formic acid in the Defense Waste Processing Facility (DWPF) feed preparation process. After implementation, the recycle stream from DWPF back to the high-level waste Tank Farm will contain soluble sodium glycolate. Most of the potential impacts of glycolate in the Tank Farm were addressed via a literature review and simulant testing, but several outstanding issues remained. This report documents the actual-waste tests to determine the impacts of glycolate on storage and evaporation of Savannah River Site high-level waste. The objectives of this study are to address the following: ? Determine the extent to which sludge constituents (Pu, U, Fe, etc.) dissolve (the solubility of sludge constituents) in the glycolate-containing 2H-evaporator feed. ? Determine the impact of glycolate on the sorption of fissile (Pu, U, etc.) components onto sodium aluminosilicate solids. The first objective was accomplished through actual-waste testing using Tank 43H and 38H supernatant and Tank 51H sludge at Tank Farm storage conditions. The second objective was accomplished by contacting actual 2H-evaporator scale with the products from the testing for the first objective. There is no anticipated impact of up to 10 g/L of glycolate in DWPF recycle to the Tank Farm on tank waste component solubilities as investigated in this test. Most components were not influenced by glycolate during solubility tests, including major components such as aluminum, sodium, and most salt anions. There was potentially a slight increase in soluble iron with added glycolate, but the soluble iron concentration remained so low (on the order of 10 mg/L) as to not impact the iron to fissile ratio in sludge. Uranium and plutonium appear to have been supersaturated in 2H-evaporator feed solution mixture used for this testing. As a result, there was a reduction of soluble uranium and plutonium as a function of time. The change in soluble uranium concentration was independent of added glycolate concentration. The change in soluble plutonium content was dependent on the added glycolate concentration, with higher levels of glycolate (5 g/L and 10 g/L) appearing to suppress the plutonium solubility. The inclusion of glycolate did not change the dissolution of or sorption onto actual-waste 2H-evaporator pot scale to an extent that will impact Tank Farm storage and concentration. The effects that were noted involved dissolution of components from evaporator scale and precipitation of components onto evaporator scale that were independent of the level of added glycolate.

  4. PERFORMANCE TESTING OF THE NEXT-GENERATION CSSX SOLVENT WITH ACTUAL SRS TANK WASTE

    SciTech Connect (OSTI)

    Pierce, R.; Peters, T.; Crowder, M.; Fink, S.

    2011-11-01

    Efforts are underway to qualify the Next-Generation Solvent for the Caustic Side Solvent Extraction (CSSX) process. Researchers at multiple national laboratories have been involved in this effort. As part of the effort to qualify the solvent extraction system at the Savannah River Site (SRS), SRNL performed a number of tests at various scales. First, SRNL completed a series of batch equilibrium, or Extraction-Scrub-Strip (ESS), tests. These tests used {approx}30 mL of Next-Generation Solvent and either actual SRS tank waste, or waste simulant solutions. The results from these cesium mass transfer tests were used to predict solvent behavior under a number of conditions. At a larger scale, SRNL assembled 12 stages of 2-cm (diameter) centrifugal contactors. This rack of contactors is structurally similar to one tested in 2001 during the demonstration of the baseline CSSX process. Assembly and mechanical testing found no issues. SRNL performed a nonradiological test using 35 L of cesium-spiked caustic waste simulant and 39 L of actual tank waste. Test results are discussed; particularly those related to the effectiveness of extraction.

  5. Filtration and Leach Testing for REDOX Sludge and S-Saltcake Actual Waste Sample Composites

    SciTech Connect (OSTI)

    Shimskey, Rick W.; Billing, Justin M.; Buck, Edgar C.; Daniel, Richard C.; Draper, Kathryn E.; Edwards, Matthew K.; Geeting, John GH; Hallen, Richard T.; Jenson, Evan D.; Kozelisky, Anne E.; MacFarlan, Paul J.; Peterson, Reid A.; Snow, Lanee A.; Swoboda, Robert G.

    2009-02-20

    A testing program evaluating actual tank waste was developed in response to Task 4 from the M-12 External Flowsheet Review Team (EFRT) issue response plan.( ) The test program was subdivided into logical increments. The bulk water-insoluble solid wastes that are anticipated to be delivered to the Waste Treatment and Immobilization Plant (WTP) were identified according to type such that the actual waste testing could be targeted to the relevant categories. Under test plan TP-RPP-WTP-467, eight broad waste groupings were defined. Samples available from the 222S archive were identified and obtained for testing. Under this test plan, a waste-testing program was implemented that included: • Homogenizing the archive samples by group as defined in the test plan • Characterizing the homogenized sample groups • Performing parametric leaching testing on each group for compounds of interest • Performing bench-top filtration/leaching tests in the hot cell for each group to simulate filtration and leaching activities if they occurred in the UFP2 vessel of the WTP Pretreatment Facility. This report focuses on filtration/leaching tests performed on two of the eight waste composite samples and follow-on parametric tests to support aluminum leaching results from those tests.

  6. Tennessee Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Tennessee Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 0 0 0 0 1990's 6 3 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 148 145 150 142 128 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Plant Fuel Consumption

  7. A Glance at China’s Household Consumption

    SciTech Connect (OSTI)

    Shui, Bin

    2009-10-22

    Known for its scale, China is the most populous country with the world’s third largest economy. In the context of rising living standards, a relatively lower share of household consumption in its GDP, a strong domestic market and globalization, China is witnessing an unavoidable increase in household consumption, related energy consumption and carbon emissions. Chinese policy decision makers and researchers are well aware of these challenges and keen to promote green lifestyles. China has developed a series of energy policies and programs, and launched a wide‐range social marketing activities to promote energy conservation.

  8. Maryland Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Maryland Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1 2 1 1 2 1 1 1990's 1 0 0 1 1 1 3 3 1 1 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Lease Fuel Consumption

  9. Missouri Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Missouri Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 0 0 1990's 0 0 1 0 0 0 1 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Lease Fuel Consumption

  10. Nevada Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Nevada Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 1990's 0 53 30 21 16 13 11 9 9 8 2000's 7 7 6 6 5 5 5 5 4 4 2010's 4 3 4 3 3 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Lease Fuel Consumption

  11. Table 11a. Coal Prices to Electric Generating Plants, Projected vs. Actual

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

    a. Coal Prices to Electric Generating Plants, Projected vs. Actual" "Projected Price in Constant Dollars" " (constant dollars per million Btu in ""dollar year"" specific to each AEO)" ,"AEO $ Year",1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",1992,1.4699,1.4799,1.53,1.57,1.58,1.57,1.61,1.63,1.68,1.69,1.7,1.72,1.7,1.76,1.79,1.81,1.88,1.92 "AEO

  12. Table 11a. Coal Prices to Electric Generating Plants, Projected vs. Actual

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

    a. Coal Prices to Electric Generating Plants, Projected vs. Actual Projected Price in Constant Dollars (constant dollars per million Btu in "dollar year" specific to each AEO) AEO $ Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 1992 1.47 1.48 1.53 1.57 1.58 1.57 1.61 1.63 1.68 1.69 1.70 1.72 1.70 1.76 1.79 1.81 1.88 1.92 AEO 1995 1993 1.39 1.39 1.38 1.40 1.40 1.39 1.39 1.42 1.41 1.43 1.44 1.45 1.46 1.46 1.46 1.47

  13. Table 3a. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual

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

    a. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual Projected Price in Constant Dollars (constant dollars per barrel in "dollar year" specific to each AEO) AEO $ Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 1992 16.69 16.43 16.99 17.66 18.28 19.06 19.89 20.72 21.65 22.61 23.51 24.29 24.90 25.60 26.30 27.00 27.64 28.16 AEO 1995 1993 14.90 16.41 16.90 17.45 18.00 18.53 19.13 19.65 20.16 20.63

  14. Table 3b. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual

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

    b. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual Projected Price in Nominal Dollars (nominal dollars per barrel) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 17.06 17.21 18.24 19.43 20.64 22.12 23.76 25.52 27.51 29.67 31.86 34.00 36.05 38.36 40.78 43.29 45.88 48.37 AEO 1995 15.24 17.27 18.23 19.26 20.39 21.59 22.97 24.33 25.79 27.27 28.82 30.38 32.14 33.89 35.85 37.97 40.28 AEO 1996 17.16 17.74 18.59

  15. Table 7a. Natural Gas Price, Electric Power Sector, Actual vs. Projected

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

    a. Natural Gas Price, Electric Power Sector, Actual vs. Projected Projected Price in Constant Dollars (constant dollars per million Btu in "dollar year" specific to each AEO) AEO $ Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 1992 2.44 2.48 2.57 2.66 2.70 2.79 2.84 2.92 3.04 3.16 3.25 3.36 3.51 3.60 3.77 3.91 3.97 4.08 AEO 1995 1993 2.39 2.48 2.42 2.45 2.45 2.53 2.59 2.78 2.91 3.10 3.24 3.38 3.47 3.53 3.61 3.68

  16. Characterization, Leaching, and Filtrations Testing of Ferrocyanide Tank sludge (Group 8) Actual Waste Composite

    SciTech Connect (OSTI)

    Fiskum, Sandra K.; Billing, Justin M.; Crum, J. V.; Daniel, Richard C.; Edwards, Matthew K.; Shimskey, Rick W.; Peterson, Reid A.; MacFarlan, Paul J.; Buck, Edgar C.; Draper, Kathryn E.; Kozelisky, Anne E.

    2009-02-28

    This is the final report in a series of eight reports defining characterization, leach, and filtration testing of a wide variety of Hanford tank waste sludges. The information generated from this series is intended to supplement the Waste Treatment and Immobilization Plant (WTP) project understanding of actual waste behaviors associated with tank waste sludge processing through the pretreatment portion of the WTP. The work described in this report presents information on a high-iron waste form, specifically the ferrocyanide tank waste sludge. Iron hydroxide has been shown to pose technical challenges during filtration processing; the ferrocyanide tank waste sludge represented a good source of the high-iron matrix to test the filtration processing.

  17. "Table 7a. Natural Gas Price, Electric Power Sector, Actual vs. Projected"

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

    a. Natural Gas Price, Electric Power Sector, Actual vs. Projected" "Projected Price in Constant Dollars" " (constant dollars per million Btu in ""dollar year"" specific to each AEO)" ,"AEO $ Year",1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",1992,2.44,2.48,2.57,2.66,2.7,2.79,2.84,2.92,3.04,3.16,3.25,3.36,3.51,3.6,3.77,3.91,3.97,4.08 "AEO

  18. An insight into actual energy use and its drivers in high-performance buildings

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

    Li, Cheng; Hong, Tianzhen; Yan, Da

    2014-07-12

    Using portfolio analysis and individual detailed case studies, we studied the energy performance and drivers of energy use in 51 high-performance office buildings in the U.S., Europe, China, and other parts of Asia. Portfolio analyses revealed that actual site energy use intensity (EUI) of the study buildings varied by a factor of as much as 11, indicating significant variation in real energy use in HPBs worldwide. Nearly half of the buildings did not meet the American Society of Heating, Refrigerating, and Air Conditioning Engineers (ASHRAE) Standard 90.1-2004 energy target, raising questions about whether a building’s certification as high performing accuratelymore » indicates that a building is energy efficient and suggesting that improvement in the design and operation of HPBs is needed to realize their energy-saving potential. We studied the influence of climate, building size, and building technologies on building energy performance and found that although all are important, none are decisive factors in building energy use. EUIs were widely scattered in all climate zones. There was a trend toward low energy use in small buildings, but the correlation was not absolute; some small HPBs exhibited high energy use, and some large HPBs exhibited low energy use. We were unable to identify a set of efficient technologies that correlated directly to low EUIs. In two case studies, we investigated the influence of occupant behavior as well as operation and maintenance on energy performance and found that both play significant roles in realizing energy savings. We conclude that no single factor determines the actual energy performance of HPBs, and adding multiple efficient technologies does not necessarily improve building energy performance; therefore, an integrated design approach that takes account of climate, technology, occupant behavior, and operations and maintenance practices should be implemented to maximize energy savings in HPBs. As a result, these findings are intended to help architects, engineers, operators, and policy makers improve the design and operation of HPBs.« less

  19. An insight into actual energy use and its drivers in high-performance buildings

    SciTech Connect (OSTI)

    Li, Cheng; Hong, Tianzhen; Yan, Da

    2014-07-12

    Using portfolio analysis and individual detailed case studies, we studied the energy performance and drivers of energy use in 51 high-performance office buildings in the U.S., Europe, China, and other parts of Asia. Portfolio analyses revealed that actual site energy use intensity (EUI) of the study buildings varied by a factor of as much as 11, indicating significant variation in real energy use in HPBs worldwide. Nearly half of the buildings did not meet the American Society of Heating, Refrigerating, and Air Conditioning Engineers (ASHRAE) Standard 90.1-2004 energy target, raising questions about whether a building’s certification as high performing accurately indicates that a building is energy efficient and suggesting that improvement in the design and operation of HPBs is needed to realize their energy-saving potential. We studied the influence of climate, building size, and building technologies on building energy performance and found that although all are important, none are decisive factors in building energy use. EUIs were widely scattered in all climate zones. There was a trend toward low energy use in small buildings, but the correlation was not absolute; some small HPBs exhibited high energy use, and some large HPBs exhibited low energy use. We were unable to identify a set of efficient technologies that correlated directly to low EUIs. In two case studies, we investigated the influence of occupant behavior as well as operation and maintenance on energy performance and found that both play significant roles in realizing energy savings. We conclude that no single factor determines the actual energy performance of HPBs, and adding multiple efficient technologies does not necessarily improve building energy performance; therefore, an integrated design approach that takes account of climate, technology, occupant behavior, and operations and maintenance practices should be implemented to maximize energy savings in HPBs. As a result, these findings are intended to help architects, engineers, operators, and policy makers improve the design and operation of HPBs.

  20. Energy consumption series: Development of the 1991 Manufacturing Energy Consumption Survey

    SciTech Connect (OSTI)

    Not Available

    1992-05-18

    The implementation and results of the proceedings concerning the Energy Information Administration assessment of the Manufacturing Energy Consumption Survey (MECS) are documented in this report. The text and Appendices C, D, and E summarize the background of the MECS data system, the events that led to the MECS redesign, the major issues address during the review process, and the eventual 1991 MECS design that resulted. For many readers, the most useful part of the report may be Appendices A and B, which contain overall summaries of the users' groups and the industrial roundtables. These appendices capture the rationale for additional data needs as provided by the users. Also, they are a rich source of information on how manufacturers deal with energy use day-to-day, how they have addressed the need for energy efficiency improvement in the past, and the opportunities and problems associated with future efforts to improve efficiency. (VC)

  1. Energy consumption series: Development of the 1991 Manufacturing Energy Consumption Survey

    SciTech Connect (OSTI)

    Not Available

    1992-05-18

    The implementation and results of the proceedings concerning the Energy Information Administration assessment of the Manufacturing Energy Consumption Survey (MECS) are documented in this report. The text and Appendices C, D, and E summarize the background of the MECS data system, the events that led to the MECS redesign, the major issues address during the review process, and the eventual 1991 MECS design that resulted. For many readers, the most useful part of the report may be Appendices A and B, which contain overall summaries of the users` groups and the industrial roundtables. These appendices capture the rationale for additional data needs as provided by the users. Also, they are a rich source of information on how manufacturers deal with energy use day-to-day, how they have addressed the need for energy efficiency improvement in the past, and the opportunities and problems associated with future efforts to improve efficiency. (VC)

  2. South Dakota Natural Gas Industrial Consumption (Million Cubic...

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

    South Dakota Natural Gas Industrial Consumption (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 513 451 449 370 329 253 260 259 287 329 343 367 2002 ...

  3. Residential Energy Consumption Survey (RECS) - U.S. Energy Information...

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

    Where does RECS square footage data come from? July 11, 2012 RECS data show decreased energy consumption per household June 6, 2012 The impact of increasing home size on energy ...

  4. Energy Information Agency's 2003 Commercial Building Energy Consumption Survey Tables

    Office of Energy Efficiency and Renewable Energy (EERE)

    Energy use intensities in commercial buildings vary widely and depend on activity and climate, as shown in this data table, which was derived from the Energy Information Agency's 2003 Commercial Building Energy Consumption Survey.

  5. Oil-Consumption-Weighted GDP: Description, Calculation, and Comparison

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

    oil intensity-oil consumption as a share of GDP-varies for these groups based upon the GDP series used. May 2016 Vipin Arora, Tyler Hodge, and Tancred Lidderdale | U.S. Energy ...

  6. Impact of Extended Daylight Saving Time on national energy consumption

    SciTech Connect (OSTI)

    Belzer, David B.; Hadley, Stanton W.; Chin, Shih -Miao

    2008-10-01

    This report presents the detailed results, data, and analytical methods used in the DOE Report to Congress on the impacts of Extended Daylight Saving Time on the U.S. national energy consumption.

  7. Impact of Extended Daylight Saving Time on national energy consumption

    SciTech Connect (OSTI)

    Belzer, David B.; Hadley, Stanton W.; Chin, Shih -Miao

    2008-10-01

    This report presents the detailed results, data, and analytical methods used in the DOE Report to Congress on the impacts of Extended Daylight Saving Time on the national energy consumption.

  8. ,"Total Fuel Oil Consumption (trillion Btu)",,,,,"Fuel Oil Energy...

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

    in this table do not include enclosed malls and strip malls. In the 1999 CBECS, total fuel oil consumption in malls was not statistically significant. (*)Value rounds to zero...

  9. ,"U.S. Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Natural Gas ...

  10. Smart Meters Help Balance Energy Consumption at Solar Decathlon

    Broader source: Energy.gov [DOE]

    Clouds, rain, thunderstorms… at Solar Decathlon Village? Oh my, you may say. But less-than-ideal weather conditions are no match for this year's teams, thanks to smart grid technology that is helping them monitor their energy consumption.

  11. Impact of Extended Daylight Saving Time on National Energy Consumption...

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

    Energy Consumption Report to Congress Energy Policy Act of 2005, Section 110 October 2008 ... Error Indianapolis Power & Light 2.4% 0.9% -3.8% 1.3% Louisville Gas & Elec 1.7% 1.0% ...

  12. New Water Booster Pump System Reduces Energy Consumption by 80...

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

    BENEFITS A Motor Challeng NEW WATER BOOSTER PUMP SYSTEM REDUCES ENERGY CONSUMPTION BY 80 ... * * * APPLICATIONS The use of a single pump with a recirculation line to serve a wide ...

  13. Issues in International Energy Consumption Analysis: Canadian Energy Demand

    Reports and Publications (EIA)

    2015-01-01

    The residential sector is one of the main end-use sectors in Canada accounting for 16.7% of total end-use site energy consumption in 2009 (computed from NRCan 2012. pp, 4-5). In this year, the residential sector accounted for 54.5% of buildings total site energy consumption. Between 1990 and 2009, Canadian household energy consumption grew by less than 11%. Nonetheless, households contributed to 14.6% of total energy-related greenhouse gas emissions in Canada in 2009 (computed from NRCan 2012). This is the U.S. Energy Information Administrations second study to help provide a better understanding of the factors impacting residential energy consumption and intensity in North America (mainly the United States and Canada) by using similar methodology for analyses in both countries.

  14. U.S. Natural Gas Average Consumption per Industrial Consumer...

    Gasoline and Diesel Fuel Update (EIA)

    Industrial Consumer (Thousand Cubic Feet) U.S. Natural Gas Average Consumption per Industrial Consumer (Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

  15. U.S. gasoline consumption highest in 8 years

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

    In its new monthly forecast, the U.S. Energy Information Administration said gasoline consumption increased by 2.7% during the first eight months of 2015 and should rise by an ...

  16. ENERGY USE AND DOMESTIC HOT WATER CONSUMPTION Final Report

    Office of Scientific and Technical Information (OSTI)

    USE AND DOMESTIC HOT WATER CONSUMPTION Final Report Phase 1 Prepared for THE N E W YORK ... operating data on combined domestic hot water @HW) and heating systems to be used in ...

  17. "PART 1: ENERGY/WATER CONSUMPTION AND COST DATA"

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

    by:" "Date:",,,,"Phone:" "PART 1: ENERGYWATER CONSUMPTION AND COST DATA" "1-1. NECPAE.O. ... "TOTAL","GEG",0,0,0 "1-4. RENEWABLE ENERGY GENERATED ON FEDERAL OR ...

  18. Estimates of U.S. Biomass Energy Consumption 1992

    Reports and Publications (EIA)

    1994-01-01

    This report is the seventh in a series of publications developed by the Energy Information Administration (EIA) to quantify the biomass derived primary energy used by the U.S. economy. It presents estimates of 1991 and 1992 consumption.

  19. New Water Booster Pump System Reduces Energy Consumption by 80...

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

    This case study outlines how General Motors (GM) developed a highly efficient pumping ... As a result, the company reduced pumping system energy consumption by 80 percent (225,100 ...

  20. Fossil Fuel-Generated Energy Consumption Reduction for New Federal

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

    Buildings and Major Renovations of Federal Buildings OIRA Comparison Document | Department of Energy Buildings OIRA Comparison Document Fossil Fuel-Generated Energy Consumption Reduction for New Federal Buildings and Major Renovations of Federal Buildings OIRA Comparison Document Document details the Fossil Fuel-Generated Energy Consumption Reduction for New Federal Buildings and Major Renovations of Federal Buildings in an OIRA Comparison Document. File fossilfuel_compare2014.docx More

  1. Impact of Extended Daylight Saving Time on National Energy Consumption,

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

    Technical Documentation | Department of Energy Technical Documentation Impact of Extended Daylight Saving Time on National Energy Consumption, Technical Documentation This report presents the detailed results, data, and analytical methods used in the DOE Report to Congress on the impacts of Extended Daylight Saving Time on the national energy consumption in the United States. PDF icon Technical Documentation for Report to Congress More Documents & Publications Impact of Extended Daylight

  2. Commercial Buildings Energy Consumption Survey (CBECS) - U.S. Energy

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration (EIA) Estimation of Energy End-use Consumption CBECS 2012 - Release date: March 18, 2016 2012 CBECS The energy end-use consumption tables for the 2012 CBECS provide estimates of the amount of electricity, natural gas, fuel oil, and district heat used for ten end uses: space heating, cooling, ventilation, water heating, lighting, cooking, refrigeration, computing (including servers), office equipment, and other uses. Although details vary by energy source, there are

  3. RECENT TRENDS IN EMERGING TRANSPORTATION FUELS AND ENERGY CONSUMPTION

    Office of Scientific and Technical Information (OSTI)

    (Conference) | SciTech Connect RECENT TRENDS IN EMERGING TRANSPORTATION FUELS AND ENERGY CONSUMPTION Citation Details In-Document Search Title: RECENT TRENDS IN EMERGING TRANSPORTATION FUELS AND ENERGY CONSUMPTION Abundance of energy can be improved both by developing new sources of fuel and by improving efficiency of energy utilization, although we really need to pursue both paths to improve energy accessibility in the future. Currently, 2.7 billion people or 38% of the world s population

  4. International Energy Outlook 2016-Buildings sector energy consumption -

    Gasoline and Diesel Fuel Update (EIA)

    Energy Information Administration 6. Buildings sector energy consumption Overview Energy consumed in the buildings sector consists of residential and commercial end users and accounts for 20.1% of the total delivered energy consumed worldwide. Consumption of delivered, or site, energy contrasts with the use of the primary energy that also includes the energy used to generate and deliver electricity to individual sites such as homes, offices, or industrial plants. In the International Energy

  5. International Energy Outlook 2016-Transportation sector energy consumption

    Gasoline and Diesel Fuel Update (EIA)

    - Energy Information Administration 8. Transportation sector energy consumption Overview In the International Energy Outlook 2016 (IEO2016) Reference case, transportation sector delivered energy consumption increases at an annual average rate of 1.4%, from 104 quadrillion British thermal units (Btu) in 2012 to 155 quadrillion Btu in 2040. Transportation energy demand growth occurs almost entirely in regions outside of the Organization for Economic Cooperation and Development (non-OECD), with

  6. Vehicle Energy Consumption and Performance Analysis | Argonne National

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

    Laboratory Consumption and Performance Analysis Vehicle Energy Consumption and Performance Analysis Argonne researchers have applied their expertise in modeling, simulation and control to develop new control theories and designs for advanced vehicles. Working with government organizations (such as the U.S. Department of Energy and U.S. Department of Transportation) and leading car and truck manufacturers as well as suppliers, the System Modeling and Control group has extensive research

  7. Smart Meter Driven Segmentation: What Your Consumption Says About You

    SciTech Connect (OSTI)

    Albert, A; Rajagopal, R

    2013-11-01

    With the rollout of smart metering infrastructure at scale, demand-response (DR) programs may now be tailored based on users' consumption patterns as mined from sensed data. For issuing DR events it is key to understand the inter-temporal consumption dynamics as to appropriately segment the user population. We propose to infer occupancy states from consumption time series data using a hidden Markov model framework. Occupancy is characterized in this model by 1) magnitude, 2) duration, and 3) variability. We show that users may be grouped according to their consumption patterns into groups that exhibit qualitatively different dynamics that may be exploited for program enrollment purposes. We investigate empirically the information that residential energy consumers' temporal energy demand patterns characterized by these three dimensions may convey about their demographic, household, and appliance stock characteristics. Our analysis shows that temporal patterns in the user's consumption data can predict with good accuracy certain user characteristics. We use this framework to argue that there is a large degree of individual predictability in user consumption at a population level.

  8. BENCH-SCALE STEAM REFORMING OF ACTUAL TANK 48H WASTE

    SciTech Connect (OSTI)

    Burket, P; Gene Daniel, G; Charles Nash, C; Carol Jantzen, C; Michael Williams, M

    2008-09-25

    Fluidized Bed Steam Reforming (FBSR) has been demonstrated to be a viable technology to remove >99% of the organics from Tank 48H simulant, to remove >99% of the nitrate/nitrite from Tank 48H simulant, and to form a solid product that is primarily carbonate based. The technology was demonstrated in October of 2006 in the Engineering Scale Test Demonstration Fluidized Bed Steam Reformer1 (ESTD FBSR) at the Hazen Research Inc. (HRI) facility in Golden, CO. The purpose of the Bench-scale Steam Reformer (BSR) testing was to demonstrate that the same reactions occur and the same product is formed when steam reforming actual radioactive Tank 48H waste. The approach used in the current study was to test the BSR with the same Tank 48H simulant and same Erwin coal as was used at the ESTD FBSR under the same operating conditions. This comparison would allow verification that the same chemical reactions occur in both the BSR and ESTD FBSR. Then, actual radioactive Tank 48H material would be steam reformed in the BSR to verify that the actual tank 48H sample reacts the same way chemically as the simulant Tank 48H material. The conclusions from the BSR study and comparison to the ESTD FBSR are the following: (1) A Bench-scale Steam Reforming (BSR) unit was successfully designed and built that: (a) Emulated the chemistry of the ESTD FBSR Denitration Mineralization Reformer (DMR) and Carbon Reduction Reformer (CRR) known collectively as the dual reformer flowsheet. (b) Measured and controlled the off-gas stream. (c) Processed real (radioactive) Tank 48H waste. (d) Met the standards and specifications for radiological testing in the Savannah River National Laboratory (SRNL) Shielded Cells Facility (SCF). (2) Three runs with radioactive Tank 48H material were performed. (3) The Tetraphenylborate (TPB) was destroyed to > 99% for all radioactive Bench-scale tests. (4) The feed nitrate/nitrite was destroyed to >99% for all radioactive BSR tests the same as the ESTD FBSR. (5) The radioactive Tank 48H DMR product was primarily made up of soluble carbonates. The three most abundant species were thermonatrite, [Na{sub 2}CO{sub 3} {center_dot} H{sub 2}O], sodium carbonate, [Na{sub 2}CO{sub 3}], and trona, [Na{sub 3}H(CO{sub 3}){sub 2} {center_dot} 2H{sub 2}O] the same as the ESTD FBSR. (6) Insoluble solids analyzed by X-Ray Diffraction (XRD) did not detect insoluble carbonate species. However, they still may be present at levels below 2 wt%, the sensitivity of the XRD methodology. Insoluble solids XRD characterization indicated that various Fe/Ni/Cr/Mn phases are present. These crystalline phases are associated with the insoluble sludge components of Tank 48H slurry and impurities in the Erwin coal ash. The percent insoluble solids, which mainly consist of un-burnt coal and coal ash, in the products were 4 to 11 wt% for the radioactive runs. (7) The Fe{sup +2}/Fe{sub total} REDOX measurements ranged from 0.58 to 1 for the three radioactive Bench-scale tests. REDOX measurements > 0.5 showed a reducing atmosphere was maintained in the DMR indicating that pyrolysis was occurring. (8) Greater than 90% of the radioactivity was captured in the product for all three runs. (9) The collective results from the FBSR simulant tests and the BSR simulant tests indicate that the same chemistry occurs in the two reactors. (10) The collective results from the BSR simulant runs and the BSR radioactive waste runs indicates that the same chemistry occurs in the simulant as in the real waste. The FBSR technology has been proven to destroy the organics and nitrates in the Tank 48H waste and form the anticipated solid carbonate phases as expected.

  9. A microbial functional group-based module for simulating methane production and consumption: Application to an incubated permafrost soil

    SciTech Connect (OSTI)

    Xu, Xiaofeng; Elias, Dwayne A.; Graham, David E.; Phelps, Tommy J.; Carroll, Sue L.; Wullschleger, Stan D.; Thornton, Peter E.

    2015-07-23

    In this study, accurately estimating methane (CH4) flux is critically important for investigating and predicting the biogeochemistry-climate feedback. Better simulating CH4 flux requires explicit representations of microbial processes on CH4 dynamics because all processes for CH4 production and consumption are actually carried out by microbes. A microbial functional group based module was developed and tested against an incubation experiment. The module considers four key mechanisms for CH4 production and consumption: methanogenesis from acetate or single-carbon compounds and CH4 oxidation using molecular oxygen or other inorganic electron acceptors. These four processes were carried out by four microbial functional groups: acetoclastic methanogens, hydrogenotrophic methanogens, aerobic methanotrophs, and anaerobic methanotrophs. This module was then linked with the decomposition subroutine of the Community Land Model, and was further used to simulate dynamics of carbon dioxide (CO2) and CH4 concentrations from an incubation experiment with permafrost soils. The results show that the model could capture the dynamics of CO2 and CH4 concentrations in microcosms with top soils, mineral layer soils and permafrost soils under natural and saturated moisture conditions and a temperature gradient of -2°C, 3°C, and 5°C. Sensitivity analysis confirmed the importance of acetic acid's direct contribution as substrate and indirect effects through pH feedback on CO2 and CH4 production and consumption. This study suggests that representing the microbial mechanisms is critical for modeling CH4 production and consumption; it is urgent to incorporate microbial mechanisms into Earth system models for better predicting the behavior of the climate system.

  10. A microbial functional group-based module for simulating methane production and consumption: Application to an incubated permafrost soil

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

    Xu, Xiaofeng; Elias, Dwayne A.; Graham, David E.; Phelps, Tommy J.; Carroll, Sue L.; Wullschleger, Stan D.; Thornton, Peter E.

    2015-07-23

    In this study, accurately estimating methane (CH4) flux is critically important for investigating and predicting the biogeochemistry-climate feedback. Better simulating CH4 flux requires explicit representations of microbial processes on CH4 dynamics because all processes for CH4 production and consumption are actually carried out by microbes. A microbial functional group based module was developed and tested against an incubation experiment. The module considers four key mechanisms for CH4 production and consumption: methanogenesis from acetate or single-carbon compounds and CH4 oxidation using molecular oxygen or other inorganic electron acceptors. These four processes were carried out by four microbial functional groups: acetoclastic methanogens,more » hydrogenotrophic methanogens, aerobic methanotrophs, and anaerobic methanotrophs. This module was then linked with the decomposition subroutine of the Community Land Model, and was further used to simulate dynamics of carbon dioxide (CO2) and CH4 concentrations from an incubation experiment with permafrost soils. The results show that the model could capture the dynamics of CO2 and CH4 concentrations in microcosms with top soils, mineral layer soils and permafrost soils under natural and saturated moisture conditions and a temperature gradient of -2°C, 3°C, and 5°C. Sensitivity analysis confirmed the importance of acetic acid's direct contribution as substrate and indirect effects through pH feedback on CO2 and CH4 production and consumption. This study suggests that representing the microbial mechanisms is critical for modeling CH4 production and consumption; it is urgent to incorporate microbial mechanisms into Earth system models for better predicting the behavior of the climate system.« less

  11. Nonresidential buildings energy consumption survey: 1979 consumption and expenditures. Part 2. Steam, fuel oil, LPG, and all fuels

    SciTech Connect (OSTI)

    Patinkin, L.

    1983-12-01

    This report presents data on square footage and on total energy consumption and expenditures for commercial buildings in the contiguous United States. Also included are detailed consumption and expenditures tables for fuel oil or kerosene, liquid petroleum gas (LPG), and purchased steam. Commercial buildings include all nonresidential buildings with the exception of those where industrial activities occupy more of the total square footage than any other type of activity. 7 figures, 23 tables.

  12. Actual Versus Estimated Utility Factor of a Large Set of Privately Owned Chevrolet Volts

    SciTech Connect (OSTI)

    John Smart; Thomas Bradley; Stephen Schey

    2014-04-01

    In order to determine the overall fuel economy of a plug-in hybrid electric vehicle (PHEV), the amount of operation in charge depleting (CD) versus charge sustaining modes must be determined. Mode of operation is predominantly dependent on customer usage of the vehicle and is therefore highly variable. The utility factor (UF) concept was developed to quantify the distance a group of vehicles has traveled or may travel in CD mode. SAE J2841 presents a UF calculation method based on data collected from travel surveys of conventional vehicles. UF estimates have been used in a variety of areas, including the calculation of window sticker fuel economy, policy decisions, and vehicle design determination. The EV Project, a plug-in electric vehicle charging infrastructure demonstration being conducted across the United States, provides the opportunity to determine the real-world UF of a large group of privately owned Chevrolet Volt extended range electric vehicles. Using data collected from Volts enrolled in The EV Project, this paper compares the real-world UF of two groups of Chevrolet Volts to estimated UF's based on J2841. The actual observed fleet utility factors (FUF) for the MY2011/2012 and MY2013 Volt groups studied were observed to be 72% and 74%, respectively. Using the EPA CD ranges, the method prescribed by J2841 estimates a FUF of 65% and 68% for the MY2011/2012 and MY2013 Volt groups, respectively. Volt drivers achieved higher percentages of distance traveled in EV mode for two reasons. First, they had fewer long-distance travel days than drivers in the national travel survey referenced by J2841. Second, they charged more frequently than the J2841 assumption of once per day - drivers of Volts in this study averaged over 1.4 charging events per day. Although actual CD range varied widely as driving conditions varied, the average CD ranges for the two Volt groups studied matched the EPA CD range estimates, so CD range variation did not affect FUF results.

  13. Using Fuel Oil",,,"Fuel Oil Consumption",,"Fuel Oil Expenditures...

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

    . Total Fuel Oil Consumption and Expenditures for Non-Mall Buildings, 2003" ,"All Buildings* Using Fuel Oil",,,"Fuel Oil Consumption",,"Fuel Oil Expenditures" ,"Number of Buildings...

  14. Table 4a. Total Fuel Oil Consumption per Effective Occupied Square...

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

    Table 4a. Total Fuel Oil Consumption per Effective Occupied Square Foot, 1992 Building Characteristics All Buildings Using Fuel Oil (thousand) Total Fuel Oil Consumption (trillion...

  15. Using Fuel Oil",,,"Fuel Oil Consumption",,"Fuel Oil Expenditures...

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

    A. Total Fuel Oil Consumption and Expenditures for All Buildings, 2003" ,"All Buildings Using Fuel Oil",,,"Fuel Oil Consumption",,"Fuel Oil Expenditures" ,"Number of Buildings...

  16. Table 11b. Coal Prices to Electric Generating Plants, Projected vs. Actual

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

    b. Coal Prices to Electric Generating Plants, Projected vs. Actual Projected Price in Nominal Dollars (nominal dollars per million Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 1.50 1.55 1.64 1.73 1.78 1.82 1.92 2.01 2.13 2.22 2.30 2.41 2.46 2.64 2.78 2.90 3.12 3.30 AEO 1995 1.42 1.46 1.49 1.55 1.59 1.62 1.67 1.76 1.80 1.89 1.97 2.05 2.13 2.21 2.28 2.38 2.50 AEO 1996 1.35 1.35 1.37 1.39 1.42 1.46 1.50 1.56 1.62 1.67 1.75

  17. Table 2. Real Gross Domestic Product Growth Trends, Projected vs. Actual

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

    Real Gross Domestic Product Growth Trends, Projected vs. Actual Projected Real GDP Growth Trend (cumulative average percent growth in projected real GDP from first year shown for each AEO) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 3.09 3.15 2.86 2.78 2.73 2.65 2.62 2.60 2.56 2.53 2.52 2.49 2.45 2.41 2.40 2.36 2.32 2.29 AEO 1995 3.66 2.77 2.53 2.71 2.67 2.61 2.55 2.48 2.46 2.45 2.45 2.43 2.39 2.35 2.31 2.27 2.24 AEO 1996 2.61

  18. Table 7b. Natural Gas Price, Electric Power Sector, Actual vs. Projected

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

    b. Natural Gas Price, Electric Power Sector, Actual vs. Projected Projected Price in Nominal Dollars (nominal dollars per million Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 2.49 2.60 2.76 2.93 3.05 3.24 3.39 3.60 3.86 4.15 4.40 4.70 5.08 5.39 5.85 6.27 6.59 7.01 AEO 1995 2.44 2.61 2.61 2.70 2.78 2.95 3.11 3.44 3.72 4.10 4.43 4.78 5.07 5.33 5.64 5.95 6.23 AEO 1996 2.08 2.19 2.20 2.39 2.47 2.54 2.64 2.74 2.84 2.95 3.09

  19. FRACTIONAL CRYSTALLIZATION LABORATORY TESTING FOR INCLUSION & COPRECIPITATION WITH ACTUAL TANK WASTE

    SciTech Connect (OSTI)

    WARRANT, R.W.

    2006-12-11

    Fractional crystallization is being considered as a pretreatment method to support supplemental treatment of retrieved single-shell tank (SST) saltcake waste at the Hanford Site. The goal of the fractional crystallization process is to optimize the separation of the radioactivity (radionuclides) from the saltcake waste and send it to the Waste Treatment and Immobilization Plant and send the bulk of the saltcake to the supplemental treatment plant (bulk vitrification). The primary factors that influence the separation efficiency are (1) solid/liquid separation efficiency, (2) contaminant inclusions, and (3) co-precipitation. This is a report of testing for factors (2) and (3) with actual tank waste samples. For the purposes of this report, contaminant inclusions are defined as the inclusion of supernatant, containing contaminating radionuclides, in a pocket within the precipitating saltcake crystals. Co-precipitation is defined as the simultaneous precipitation of a saltcake crystal with a contaminating radionuclide. These two factors were tested for various potential fractional crystallization product salts by spiking the composite tank waste samples (SST Early or SST Late, external letter CH2M-0600248, ''Preparation of Composite Tank Waste Samples for ME-21 Project'') with the desired target salt and then evaporating to precipitate that salt. SST Early represents the typical composition of dissolved saltcake early in the retrieval process, and SST Late represents the typical composition during the later stages of retrieval.

  20. Relationship between self-reported activity levels and actual heart rates in teenagers

    SciTech Connect (OSTI)

    Terblanche, A.P.S.; Ozkaynak, H.; Spengler, J.D.; Butler, D.A. )

    1991-08-01

    A study was designed to explore the relationship between self-reported activity levels and actual heart rate (HR) as measured by a portable heart rate monitor. Twenty-two teenagers (8 boys, 14 girls, median age of 16) from Watertown High School, Massachusetts participated in this pilot study which involved continuous monitoring of HR during normal daily activities and simultaneous completion of a time-activity diary. There were 31 successful monitoring sessions ranging from 1.9 to 17 hours with a median monitoring time of 12.6 hours. Four unsuccessful monitoring sessions were experienced due to equipment failure. Apart from participant cooperation, the single most important factor affecting the feasibility of continuous heart rate monitoring was found to be equipment design. Th overall average heart rate observed was 88.4 bpm (SD = 24.3). An individual's correlation coefficient for perceived activity level (documented in half-hour intervals) and heart rate (averaged over the half-hour intervals) varied from 0.24 to 0.89. More than half of the correlation coefficients were below 0.40. There was a significant difference between average heart rate for time spent indoors (90 bpm) versus outdoors (103 bpm) even after correcting for sleeping time. It is concluded that continuous HR monitoring with simultaneous completion of a time/activity dairy is feasible and is a promising source of information for studies on exposure to air pollutants.

  1. Predicted Versus Actual Savings for a Low-Rise Multifamily Retrofit in Boulder, Colorado

    SciTech Connect (OSTI)

    Arena, L.; Williamson, J.

    2013-11-01

    To determine the most cost-effective methods of improving buildings, accurate analysis and prediction of the energy use of existing buildings is essential. However, multiple studies confirm that analysis methods tend to over-predict energy use in poorly insulated, leaky homes and thus, the savings associated with improving those homes. In this project, the Building America CARB team evaluated the retrofit of a multifamily building in Boulder, CO. The updated property is a 37 unit, 2 story apartment complex built in 1950, which underwent renovations in early 2009 to bring it into compliance with Boulder, CO's SmartRegs ordinance. Goals of the study were to: 1) evaluate predicted versus actual savings due to the improvements, 2) identify areas where the modeling assumptions may need to be changed, and 3) determine common changes made by renters that would negatively impact energy savings. Other issues that were investigated include the effects of improving building efficiency on tenant comfort, the impact on tenant turnover rates, and the potential market barriers for this type of community scale project.

  2. Predicted Versus Actual Savings for a Low-Rise Multifamily Retrofit in Boulder, Colorado

    SciTech Connect (OSTI)

    Arena, L.; Williamson, J.

    2013-11-01

    To determine the most cost-effective methods of improving buildings, accurate analysis and prediction of the energy use of existing buildings is essential. However, multiple studies confirm that analysis methods tend to over-predict energy use in poorly insulated, leaky homes and thus, the savings associated with improving those homes. In NREL's report titled 'Assessing and Improving the Accuracy of Energy Analysis of Residential Buildings,' researchers propose a method for improving the accuracy of residential energy analysis methods. A key step in this process involves the comparisons of predicted versus metered energy use and savings. In support of this research need, CARB evaluated the retrofit of a multifamily building in Boulder, CO. The updated property is a 37 unit, 2 story apartment complex built in 1950, which underwent renovations in early 2009 to bring it into compliance with Boulder, CO's SmartRegs ordinance. Goals of the study were to: 1) evaluate predicted versus actual savings due to the improvements, 2) identify areas where the modeling assumptions may need to be changed, and 3) determine common changes made by renters that would negatively impact energy savings. In this study, CARB seeks to improve the accuracy of modeling software while assessing retrofit measures to specifically determine which are most effective for large multifamily complexes in the cold climate region. Other issues that were investigated include the effects of improving building efficiency on tenant comfort, the impact on tenant turnover rates, and the potential market barriers for this type of community scale project.

  3. Food production and consumption near the Savannah River Site

    SciTech Connect (OSTI)

    Hamby, D.M.

    1991-01-01

    Routine operations at the Savannah River Site (SRS) result in the release of radionuclides to the atmosphere and to the Savannah River. The resulting radiological doses to the off-site maximum individual and the 80-km population are estimated on a yearly basis. These estimates are generated using dose models prescribed in the NRC Reg. Guide 1.109 for the commercial nuclear power industry. A study of land and water usage characteristics in the region of the Savannah River Site has been conducted to determine site-specific values of the NRC dose model parameters. The study's scope included local characteristics of meat, milk, vegetable production; Savannah River recreational activities and fish harvests; meat, milk, vegetable, and seafood consumption rates; and Savannah River drinking-water populations. Average and maximum consumption rates of beef, milk, vegetables, and fish have been determined for individuals residing in the southern United States. The study suggest that many of the consumption rates provided by the NRC may not be appropriate for residents of the South. Average consumption rates are slightly higher than the defaults provided by the NRC. Maximum consumption rates, however, are typically lower than NRC values. Agricultural productivity in the SRS region was found to be quite different than NRC recommendations. Off-site doses have been predicted using both NRC and SRS parameter values to demonstrate the significance of site-specific data.

  4. Food production and consumption near the Savannah River Site

    SciTech Connect (OSTI)

    Hamby, D.M.

    1991-12-31

    Routine operations at the Savannah River Site (SRS) result in the release of radionuclides to the atmosphere and to the Savannah River. The resulting radiological doses to the off-site maximum individual and the 80-km population are estimated on a yearly basis. These estimates are generated using dose models prescribed in the NRC Reg. Guide 1.109 for the commercial nuclear power industry. A study of land and water usage characteristics in the region of the Savannah River Site has been conducted to determine site-specific values of the NRC dose model parameters. The study`s scope included local characteristics of meat, milk, vegetable production; Savannah River recreational activities and fish harvests; meat, milk, vegetable, and seafood consumption rates; and Savannah River drinking-water populations. Average and maximum consumption rates of beef, milk, vegetables, and fish have been determined for individuals residing in the southern United States. The study suggest that many of the consumption rates provided by the NRC may not be appropriate for residents of the South. Average consumption rates are slightly higher than the defaults provided by the NRC. Maximum consumption rates, however, are typically lower than NRC values. Agricultural productivity in the SRS region was found to be quite different than NRC recommendations. Off-site doses have been predicted using both NRC and SRS parameter values to demonstrate the significance of site-specific data.

  5. Lifestyle Factors in U.S. Residential Electricity Consumption

    SciTech Connect (OSTI)

    Sanquist, Thomas F.; Orr, Heather M.; Shui, Bin; Bittner, Alvah C.

    2012-03-30

    A multivariate statistical approach to lifestyle analysis of residential electricity consumption is described and illustrated. Factor analysis of selected variables from the 2005 U.S. Residential Energy Consumption Survey (RECS) identified five lifestyle factors reflecting social and behavioral choices associated with air conditioning, laundry usage, personal computer usage, climate zone of residence, and TV use. These factors were also estimated for 2001 RECS data. Multiple regression analysis using the lifestyle factors yields solutions accounting for approximately 40% of the variance in electricity consumption for both years. By adding the associated household and market characteristics of income, local electricity price and access to natural gas, variance accounted for is increased to approximately 54%. Income contributed only {approx}1% unique variance to the 2005 and 2001 models, indicating that lifestyle factors reflecting social and behavioral choices better account for consumption differences than income. This was not surprising given the 4-fold range of energy use at differing income levels. Geographic segmentation of factor scores is illustrated, and shows distinct clusters of consumption and lifestyle factors, particularly in suburban locations. The implications for tailored policy and planning interventions are discussed in relation to lifestyle issues.

  6. ACTUAL-WASTE TESTING OF ULTRAVIOLET LIGHT TO AUGMENT THE ENHANCED CHEMICAL CLEANING OF SRS SLUDGE

    SciTech Connect (OSTI)

    Martino, C.; King, W.; Ketusky, E.

    2012-07-10

    In support of Savannah River Site (SRS) tank closure efforts, the Savannah River National Laboratory (SRNL) conducted Real Waste Testing (RWT) to evaluate Enhanced Chemical Cleaning (ECC), an alternative to the baseline 8 wt% oxalic acid (OA) chemical cleaning technology for tank sludge heel removal. ECC utilizes a more dilute OA solution (2 wt%) and an oxalate destruction technology using ozonolysis with or without the application of ultraviolet (UV) light. SRNL conducted tests of the ECC process using actual SRS waste material from Tanks 5F and 12H. The previous phase of testing involved testing of all phases of the ECC process (sludge dissolution, OA decomposition, product evaporation, and deposition tank storage) but did not involve the use of UV light in OA decomposition. The new phase of testing documented in this report focused on the use of UV light to assist OA decomposition, but involved only the OA decomposition and deposition tank portions of the process. Compared with the previous testing at analogous conditions without UV light, OA decomposition with the use of UV light generally reduced time required to reach the target of <100 mg/L oxalate. This effect was the most pronounced during the initial part of the decomposition batches, when pH was <4. For the later stages of each OA decomposition batch, the increase in OA decomposition rate with use of the UV light appeared to be minimal. Testing of the deposition tank storage of the ECC product resulted in analogous soluble concentrations regardless of the use or non-use of UV light in the ECC reactor.

  7. South Dakota Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) South Dakota Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 61 76 93 70 125 123 112 1990's 158 393 451 452 437 404 424 911 848 864 2000's 1,003 538 495 553 562 545 508 573 545 568 2010's 562 594 866 916 827 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release

  8. South Dakota Natural Gas Vehicle Fuel Consumption (Million Cubic Feet)

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

    Vehicle Fuel Consumption (Million Cubic Feet) South Dakota Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 1990's 0 2 5 7 5 4 4 10 8 10 2000's 10 13 13 16 18 0 W 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Delivered

  9. Tennessee Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Tennessee Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 113 153 138 98 93 60 45 1990's 68 41 39 49 44 47 37 45 31 26 2000's 29 48 80 47 46 68 66 109 161 235 2010's 214 231 335 335 142 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  10. Vermont Natural Gas Vehicle Fuel Consumption (Million Cubic Feet)

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

    Vehicle Fuel Consumption (Million Cubic Feet) Vermont Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0 0 0 2000's 0 1 1 1 1 0 W 1 1 2010's 1 3 3 3 3 3 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Delivered to Vehicle Fuel Consumers Vermont

  11. Washington Natural Gas Lease and Plant Fuel Consumption (Million Cubic

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

    Feet) Lease and Plant Fuel Consumption (Million Cubic Feet) Washington Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 440 326 1980's 0 0 0 0 0 0 0 0 1990's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural

  12. Delaware Natural Gas Vehicle Fuel Consumption (Million Cubic Feet)

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

    Vehicle Fuel Consumption (Million Cubic Feet) Delaware Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 1990's 0 0 0 0 1 1 1 21 27 33 2000's 37 46 46 56 63 9 6 5 4 1 2010's 1 1 1 1 1 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Delivered to

  13. Federal Offshore -- Gulf of Mexico Natural Gas Total Consumption (Million

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

    Cubic Feet) -- Gulf of Mexico Natural Gas Total Consumption (Million Cubic Feet) Federal Offshore -- Gulf of Mexico Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0 2000's 0 0 109,277 98,372 90,025 78,139 102,242 115,528 102,389 103,976 2010's 108,490 101,217 93,985 95,207 93,855 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  14. Indiana Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Indiana Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 4 12 11 10 7 12 10 1990's 13 5 5 6 2 5 8 12 13 18 2000's 23 26 51 38 74 97 108 101 161 211 2010's 283 433 506 506 177 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  15. New York Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) New York Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 617 840 1,041 957 975 788 604 1990's 840 1,073 965 563 781 1,074 939 778 636 701 2000's 590 640 876 1,094 614 803 635 657 687 1,005 2010's 573 498 423 375 541 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  16. North Dakota Natural Gas Vehicle Fuel Consumption (Million Cubic Feet)

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

    Vehicle Fuel Consumption (Million Cubic Feet) North Dakota Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 1990's 0 1 3 8 8 12 15 41 40 49 2000's 54 67 68 83 93 3 1 1 1 2010's 1 1 1 0 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Delivered

  17. Ohio Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Ohio Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 50 63 71 69 96 88 87 1990's 14 14 16 20 36 32 37 39 40 42 2000's 43 40 37 17 18 12 8 5 0 0 2010's 0 0 127 202 468 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural

  18. Oregon Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Oregon Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 120 131 130 115 59 1990's 93 60 68 118 95 66 40 0 0 0 2000's 49 42 40 43 27 21 24 23 26 26 2010's 31 39 44 44 25 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  19. Pennsylvania Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Pennsylvania Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 158 171 148 171 205 191 218 1990's 156 159 341 235 116 181 217 253 222 274 2000's 208 272 251 343 395 483 549 495 575 599 2010's 881 963 2,529 9,200 11,602 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  20. Kentucky Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Kentucky Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 7,025 7,165 6,940 4,056 852 830 627 1990's 657 702 707 689 611 702 682 641 548 641 2000's 419 475 535 536 617 698 653 691 587 391 2010's 772 278 641 280 278 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  1. Maine Natural Gas Vehicle Fuel Consumption (Million Cubic Feet)

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

    Vehicle Fuel Consumption (Million Cubic Feet) Maine Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0 100 0 2000's 0 0 0 0 0 0 0 0 1 2010's 1 1 1 1 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Delivered to Vehicle Fuel Consumers Maine Natural

  2. Montana Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Montana Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 439 457 542 437 449 474 519 1990's 557 518 423 295 206 168 168 188 208 235 2000's 218 396 249 512 606 697 820 816 788 771 2010's 800 604 612 645 657 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release

  3. Montana Natural Gas Vehicle Fuel Consumption (Million Cubic Feet)

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

    Vehicle Fuel Consumption (Million Cubic Feet) Montana Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 1990's 0 2 2 4 6 8 13 40 31 38 2000's 43 53 54 66 74 4 2 1 1 1 2010's 1 0 1 1 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Delivered to

  4. Nebraska Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Nebraska Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 60 70 57 40 43 26 21 1990's 26 17 31 56 86 58 43 38 37 29 2000's 31 29 295 286 302 236 176 182 395 359 2010's 331 287 194 194 62 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  5. Nebraska Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Nebraska Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 34 35 30 19 31 21 13 1990's 0 14 9 0 3 2 3 7 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Plant Fuel

  6. Residential Energy Consumption Survey (RECS) - U.S. Energy Information

    Gasoline and Diesel Fuel Update (EIA)

    Administration (EIA) ‹ Consumption & Efficiency Residential Energy Consumption Survey (RECS) Glossary › FAQS › Overview Data 2009 2005 2001 1997 1993 Previous Analysis & Projections RECS Terminology A B C D E F G H I J K L M N O P Q R S T U V W XYZ A Account Classification: The method in which suppliers of electricity, natural gas, or fuel oil classify and bill their customers. Commonly used account classifications are "Commercial," "Industrial,"

  7. STEAM REFORMING TECHNOLOGY DEMONSTRATION FOR THE DESTRUCTION OF ORGANICS ON ACTUAL DOE SAVANNAH RIVER SITE TANK 48H WASTE 9138

    SciTech Connect (OSTI)

    Burket, P

    2009-02-24

    This paper describes the design of the Bench-scale Steam Reformer (BSR); a processing unit for demonstrating steam reforming technology on actual radioactive waste [1]. It describes the operating conditions of the unit used for processing a sample of Savannah River Site (SRS) Tank 48H waste. Finally, it compares the results from processing the actual waste in the BSR to processing simulant waste in the BSR to processing simulant waste in a large pilot scale unit, the Fluidized Bed Steam Reformer (FBSR), operated at Hazen Research Inc. in Golden, CO. The purpose of this work was to prove that the actual waste reacted in the same manner as the simulant waste in order to validate the work performed in the pilot scale unit which could only use simulant waste.

  8. Evaluation of fuel consumption potential of medium and heavy duty vehicles through modeling and simulation.

    SciTech Connect (OSTI)

    Delorme, A.; Karbowski, D.; Sharer, P.; Energy Systems

    2010-03-31

    The main objective of this report is to provide quantitative data to support the Committee in its task of establishing a report to support rulemaking on medium- and heavy-duty fuel efficiency improvement. In particular, it is of paramount importance for the Committee to base or illustrate their conclusions on established models and actual state-of-the art data. The simulations studies presented in the report have been defined and requested by the members of the National Academy committee to provide quantitative inputs to support their recommendations. As such, various technologies and usage scenarios were considered for several applications. One of the objective is to provide the results along with their associated assumptions (both vehicle and drive cycles), information generally missing from public discussions on literature search. Finally, the advantages and limitations of using simulation will be summarized. The study addresses several of the committee tasks, including: (1) Discussion of the implication of metric selection; (2) Assessing the impact of existing technologies on fuel consumption through energy balance analysis (both steady-state and standard cycles) as well as real world drive cycles; and (3) Impact of future technologies, both individually and collectively.

  9. Final Report. LAW Glass Formulation to Support AP-101 Actual Waste Testing, VSL-03R3470-2, Rev. 0

    SciTech Connect (OSTI)

    Muller, I. S.; Pegg, I. L.; Rielley, Elizabeth; Carranza, Isidro; Hight, Kenneth; Lai, Shan-Tao T.; Mooers, Cavin; Bazemore, Gina; Cecil, Richard; Kruger, Albert A.

    2015-06-22

    The main objective of the work was to develop and select a glass formulation for vitrification testing of the actual waste sample of LAW AP-101 at Battelle - Pacific Northwest Division (PNWD). Other objectives of the work included preparation and characterization of glasses to demonstrate compliance with contract and processing requirements, evaluation of the ability to achieve waste loading requirements, testing to demonstrate compatibility of the glass melts with melter materials of construction, comparison of the properties of simulant and actual waste glasses, and identification of glass formulation issues with respect to contract specifications and processing requirements.

  10. Profiling an application for power consumption during execution on a plurality of compute nodes

    DOE Patents [OSTI]

    Archer, Charles J.; Blocksome, Michael A.; Peters, Amanda E.; Ratterman, Joseph D.; Smith, Brian E.

    2012-08-21

    Methods, apparatus, and products are disclosed for profiling an application for power consumption during execution on a compute node that include: receiving an application for execution on a compute node; identifying a hardware power consumption profile for the compute node, the hardware power consumption profile specifying power consumption for compute node hardware during performance of various processing operations; determining a power consumption profile for the application in dependence upon the application and the hardware power consumption profile for the compute node; and reporting the power consumption profile for the application.

  11. Profiling an application for power consumption during execution on a compute node

    DOE Patents [OSTI]

    Archer, Charles J; Blocksome, Michael A; Peters, Amanda E; Ratterman, Joseph D; Smith, Brian E

    2013-09-17

    Methods, apparatus, and products are disclosed for profiling an application for power consumption during execution on a compute node that include: receiving an application for execution on a compute node; identifying a hardware power consumption profile for the compute node, the hardware power consumption profile specifying power consumption for compute node hardware during performance of various processing operations; determining a power consumption profile for the application in dependence upon the application and the hardware power consumption profile for the compute node; and reporting the power consumption profile for the application.

  12. Maine Natural Gas Vehicle Fuel Consumption (Million Cubic Feet...

    Gasoline and Diesel Fuel Update (EIA)

    Maine Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012...

  13. Projecting household energy consumption within a conditional demand framework

    SciTech Connect (OSTI)

    Teotia, A.; Poyer, D.

    1991-01-01

    Few models attempt to assess and project household energy consumption and expenditure by taking into account differential household choices correlated with such variables as race, ethnicity, income, and geographic location. The Minority Energy Assessment Model (MEAM), developed by Argonne National Laboratory (ANL) for the US Department of Energy (DOE), provides a framework to forecast the energy consumption and expenditure of majority, black, Hispanic, poor, and nonpoor households. Among other variables, household energy demand for each of these population groups in MEAM is affected by housing factors (such as home age, home ownership, home type, type of heating fuel, and installed central air conditioning unit), demographic factors (such as household members and urban/rural location), and climate factors (such as heating degree days and cooling degree days). The welfare implications of the revealed consumption patterns by households are also forecast. The paper provides an overview of the model methodology and its application in projecting household energy consumption under alternative energy scenarios developed by Data Resources, Inc., (DRI).

  14. Projecting household energy consumption within a conditional demand framework

    SciTech Connect (OSTI)

    Teotia, A.; Poyer, D.

    1991-12-31

    Few models attempt to assess and project household energy consumption and expenditure by taking into account differential household choices correlated with such variables as race, ethnicity, income, and geographic location. The Minority Energy Assessment Model (MEAM), developed by Argonne National Laboratory (ANL) for the US Department of Energy (DOE), provides a framework to forecast the energy consumption and expenditure of majority, black, Hispanic, poor, and nonpoor households. Among other variables, household energy demand for each of these population groups in MEAM is affected by housing factors (such as home age, home ownership, home type, type of heating fuel, and installed central air conditioning unit), demographic factors (such as household members and urban/rural location), and climate factors (such as heating degree days and cooling degree days). The welfare implications of the revealed consumption patterns by households are also forecast. The paper provides an overview of the model methodology and its application in projecting household energy consumption under alternative energy scenarios developed by Data Resources, Inc., (DRI).

  15. Resource demand growth and sustainability due to increased world consumption

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

    Balatsky, Alexander V.; Balatsky, Galina I.; Borysov, Stanislav S.

    2015-03-20

    The paper aims at continuing the discussion on sustainability and attempts to forecast the impossibility of the expanding consumption worldwide due to the planet’s limited resources. As the population of China, India and other developing countries continue to increase, they would also require more natural and financial resources to sustain their growth. We coarsely estimate the volumes of these resources (energy, food, freshwater) and the gross domestic product (GDP) that would need to be achieved to bring the population of India and China to the current levels of consumption in the United States. We also provide estimations for potentially neededmore » immediate growth of the world resource consumption to meet this equality requirement. Given the tight historical correlation between GDP and energy consumption, the needed increase of GDP per capita in the developing world to the levels of the U.S. would deplete explored fossil fuel reserves in less than two decades. These estimates predict that the world economy would need to find a development model where growth would be achieved without heavy dependence on fossil fuels.« less

  16. Comparison of Measures by Consumption and Supply Surveys, A

    Reports and Publications (EIA)

    1988-01-01

    This report was prepared in response to a request from the Office of Policy Integration in the U.S. Department of Energy for an analysis of how Energy Information Administration data from its consumption surveys compares with data from its supply surveys.

  17. Resource demand growth and sustainability due to increased world consumption

    SciTech Connect (OSTI)

    Balatsky, Alexander V.; Balatsky, Galina I.; Borysov, Stanislav S.

    2015-03-20

    The paper aims at continuing the discussion on sustainability and attempts to forecast the impossibility of the expanding consumption worldwide due to the planet’s limited resources. As the population of China, India and other developing countries continue to increase, they would also require more natural and financial resources to sustain their growth. We coarsely estimate the volumes of these resources (energy, food, freshwater) and the gross domestic product (GDP) that would need to be achieved to bring the population of India and China to the current levels of consumption in the United States. We also provide estimations for potentially needed immediate growth of the world resource consumption to meet this equality requirement. Given the tight historical correlation between GDP and energy consumption, the needed increase of GDP per capita in the developing world to the levels of the U.S. would deplete explored fossil fuel reserves in less than two decades. These estimates predict that the world economy would need to find a development model where growth would be achieved without heavy dependence on fossil fuels.

  18. Benchmarking the energy efficiency of Dutch industry: An assessment of the expected effect on energy consumption and CO2 emissions

    SciTech Connect (OSTI)

    Phylipsen, Dian; Blok, Kornelis; Worrell, Ernst; De Beer, Jeroen

    2002-06-01

    As part of its energy and climate policy the Dutch government has reached an agreement with the Dutch energy-intensive industry that is explicitly based on industry's relative energy efficiency performance. The energy efficiency of the Dutch industry is benchmarked against that of comparable industries in countries world-wide. In the agreement, industry is required to belong to the top-of-the-world in terms of energy efficiency. In return, the government refrains from implementing additional climate policies.This article assesses the potential effects of this agreement on energy consumption and CO2 emissions by comparing the current level of energy efficiency of the Dutch industry - including electricity production - to that of the most efficient countries and regions. At the current structure achieving the regional best practice level for the selected energy-intensive industries would result in a 5plus or minus 2 percent lower current primary energy consumption than the actual level. Most of the savings are expected in the petrochemical industry and in electricity generation. Avoided CO2 emissions would amount to 4 Mt CO2. A first estimate of the effect of the benchmarking agreement in 2012 suggests primary energy savings of 50-130 PJ or 5-10 Mt CO2 avoided compared to the estimated Business as Usual development (5-15 percent). This saving is smaller than what a continuation of the existing policies of Long Term Agreements would probably deliver.

  19. Addressing Water Consumption of Evaporative Coolers with Greywater

    SciTech Connect (OSTI)

    Sahai, Rashmi; Shah, Nihar; Phadke, Amol

    2012-07-01

    Evaporative coolers (ECs) provide significant gains in energy efficiency compared to vapor compression air conditioners, but simultaneously have significant onsite water demand. This can be a major barrier to deployment in areas of the world with hot and arid climates. To address this concern, this study determined where in the world evaporative cooling is suitable, the water consumption of ECs in these cities, and the potential that greywater can be used reduce the consumption of potable water in ECs. ECs covered 69percent of the cities where room air conditioners are may be deployed, based on comfort conditions alone. The average water consumption due to ECs was found to be 400 L/household/day in the United States and Australia, with the potential for greywater to provide 50percent this amount. In the rest of the world, the average water consumption was 250 L/household/day, with the potential for greywater to supply 80percent of this amount. Home size was the main factor that contributed to this difference. In the Mediterranean, the Middle East, Northern India, and the Midwestern and Southwestern United States alkalinity levels are high and water used for bleeding will likely contribute significantly to EC water consumption. Although technically feasible, upfront costs for household GW systems are currently high. In both developed and developing parts of the world, however, a direct EC and GW system is cost competitive with conventional vapor compression air conditioners. Moreover, in regions of the world that face problems of water scarcity the benefits can substantially outweigh the costs.

  20. A method for evaluating transport energy consumption in suburban areas

    SciTech Connect (OSTI)

    Marique, Anne-Francoise Reiter, Sigrid

    2012-02-15

    Urban sprawl is a major issue for sustainable development. It represents a significant contribution to energy consumption of a territory especially due to transportation requirements. However, transport energy consumption is rarely taken into account when the sustainability of suburban structures is studied. In this context, the paper presents a method to estimate transport energy consumption in residential suburban areas. The study aimed, on this basis, at highlighting the most efficient strategies needed to promote awareness and to give practical hints on how to reduce transport energy consumption linked to urban sprawl in existing and future suburban neighborhoods. The method uses data collected by using empirical surveys and GIS. An application of this method is presented concerning the comparison of four suburban districts located in Belgium to demonstrate the advantages of the approach. The influence of several parameters, such as distance to work places and services, use of public transport and performance of the vehicles, are then discussed to allow a range of different development situations to be explored. The results of the case studies highlight that traveled distances, and thus a good mix between activities at the living area scale, are of primordial importance for the energy performance, whereas means of transport used is only of little impact. Improving the performance of the vehicles and favoring home-work give also significant energy savings. The method can be used when planning new areas or retrofitting existing ones, as well as promoting more sustainable lifestyles regarding transport habits. - Highlights: Black-Right-Pointing-Pointer The method allows to assess transport energy consumption in suburban areas and highlight the best strategies to reduce it. Black-Right-Pointing-Pointer Home-to-work travels represent the most important part of calculated transport energy consumption. Black-Right-Pointing-Pointer Energy savings can be achieved by reducing distances to travel through a good mix between activities at the local scale. Black-Right-Pointing-Pointer Means of transport used in only of little impact in the studied suburban neighborhoods. Black-Right-Pointing-Pointer Improving the performance of the vehicles and favoring home-work can significant energy savings.

  1. Rhode Island Natural Gas Total Consumption (Million Cubic Feet)

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

    Total Consumption (Million Cubic Feet) Rhode Island Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 117,707 130,751 118,001 2000's 88,419 95,607 87,805 78,456 72,609 80,764 77,204 87,972 89,256 92,743 2010's 94,110 100,455 95,476 85,537 88,673 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  2. South Carolina Natural Gas Total Consumption (Million Cubic Feet)

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

    Total Consumption (Million Cubic Feet) South Carolina Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 153,917 159,458 162,926 2000's 160,436 141,785 184,803 146,641 163,787 172,032 174,806 175,701 170,077 190,928 2010's 220,235 229,497 244,850 232,297 231,863 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  3. South Dakota Natural Gas Total Consumption (Million Cubic Feet)

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

    Total Consumption (Million Cubic Feet) South Dakota Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 36,115 33,042 35,794 2000's 37,939 37,077 41,577 43,881 41,679 42,555 40,739 53,938 65,258 66,185 2010's 72,563 73,605 70,238 81,986 79,964 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  4. Tennessee Natural Gas Total Consumption (Million Cubic Feet)

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

    Total Consumption (Million Cubic Feet) Tennessee Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 282,395 279,070 278,841 2000's 270,658 255,990 255,515 257,315 231,133 230,338 221,626 221,118 229,935 216,945 2010's 257,443 264,231 277,127 279,441 303,996 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  5. Texas Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Texas Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 183,870 204,390 193,822 189,173 229,053 200,239 163,218 1990's 228,485 125,198 123,111 130,916 139,427 178,827 177,508 144,787 176,262 136,708 2000's 141,785 135,786 114,919 123,585 129,825 134,434 138,558 154,323 166,500 169,631 2010's 157,751 147,268 163,325 198,208 213,481 - = No Data Reported; -- = Not

  6. Texas Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Texas Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 123,847 122,272 113,937 113,093 126,712 118,683 128,759 1990's 166,120 172,035 170,734 165,507 158,826 154,721 153,039 157,013 153,966 144,544 2000's 144,971 128,836 133,427 123,383 127,356 133,306 140,414 139,262 142,476 152,948 2010's 151,818 155,358 171,359 178,682 184,723 - = No Data Reported; -- = Not

  7. Texas Natural Gas Total Consumption (Million Cubic Feet)

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

    Total Consumption (Million Cubic Feet) Texas Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 4,116,722 4,205,459 4,009,689 2000's 4,421,777 4,252,152 4,303,831 4,050,632 3,908,243 3,503,636 3,432,236 3,516,706 3,546,804 3,387,341 2010's 3,574,398 3,693,905 3,850,331 4,021,851 4,088,445 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  8. Utah Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Utah Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,806 5,621 6,286 6,775 8,970 7,970 6,596 1990's 10,573 4,597 3,866 3,241 3,322 18,520 18,570 16,478 19,481 15,930 2000's 16,394 14,578 17,163 16,398 15,802 17,216 20,221 21,715 18,169 20,222 2010's 22,022 23,209 28,165 28,165 25,336 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  9. Utah Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Utah Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2,732 2,754 2,715 6,514 8,701 8,919 9,615 1990's 9,146 9,141 8,745 9,285 9,951 8,492 8,549 8,141 7,985 7,880 2000's 8,276 5,436 4,534 4,481 3,370 3,914 3,739 2,779 2,206 1,573 2010's 1,616 3,063 3,031 5,996 4,782 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  10. Utah Natural Gas Total Consumption (Million Cubic Feet)

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

    Total Consumption (Million Cubic Feet) Utah Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 165,253 169,776 159,889 2000's 164,557 159,299 163,379 154,125 155,891 160,275 187,399 219,700 224,188 214,220 2010's 219,213 222,227 223,039 247,285 242,457 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release

  11. Vermont Natural Gas Total Consumption (Million Cubic Feet)

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

    Total Consumption (Million Cubic Feet) Vermont Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 8,061 7,735 8,033 2000's 10,426 7,919 8,367 8,400 8,685 8,372 8,056 8,867 8,624 8,638 2010's 8,443 8,611 8,191 9,602 10,678 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  12. Virginia Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Virginia Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 124 272 443 438 669 536 425 1990's 489 327 653 1,120 1,102 1,296 1,183 1,330 1,243 1,519 2000's 1,820 1,641 3,000 2,108 3,307 2,749 3,809 3,143 4,406 6,040 2010's 6,121 7,206 8,408 8,408 7,252 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

  13. Virginia Natural Gas Total Consumption (Million Cubic Feet)

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

    Total Consumption (Million Cubic Feet) Virginia Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 248,960 260,332 276,793 2000's 268,770 237,853 258,202 262,970 277,434 299,746 274,175 319,913 299,364 319,134 2010's 375,421 373,444 410,106 418,506 419,615 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  14. Washington Natural Gas Total Consumption (Million Cubic Feet)

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

    Total Consumption (Million Cubic Feet) Washington Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 256,366 290,229 287,302 2000's 286,653 312,114 233,716 249,599 262,485 264,754 263,395 272,613 298,140 310,428 2010's 285,726 264,589 264,540 318,292 307,021 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  15. West Virginia Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) West Virginia Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3,720 4,377 4,270 3,849 5,480 5,017 4,203 1990's 6,427 4,353 4,807 3,749 4,815 4,846 4,292 4,500 4,549 3,705 2000's 6,720 6,384 7,420 4,881 4,277 6,729 8,339 6,483 8,423 11,348 2010's 11,348 15,571 21,569 28,682 27,853 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  16. West Virginia Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) West Virginia Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2,106 2,855 2,920 2,809 3,355 3,326 3,679 1990's 3,204 3,391 3,290 3,316 3,272 3,199 2,262 2,710 2,344 2,209 2000's 2,505 2,342 2,186 1,361 723 281 315 309 283 698 2010's 810 1,153 1,812 3,429 6,776 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  17. West Virginia Natural Gas Total Consumption (Million Cubic Feet)

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

    Total Consumption (Million Cubic Feet) West Virginia Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 159,504 142,860 139,961 2000's 147,854 141,090 146,455 126,986 122,267 117,136 113,084 115,974 111,480 109,652 2010's 113,179 115,361 129,753 142,082 150,766 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  18. Wisconsin Natural Gas Total Consumption (Million Cubic Feet)

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

    Total Consumption (Million Cubic Feet) Wisconsin Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 400,651 368,022 380,560 2000's 393,601 359,784 385,310 394,711 383,316 410,250 372,462 398,370 409,377 387,066 2010's 372,898 393,734 402,656 442,544 462,627 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  19. Energy consumption series: Lighting in commercial buildings. [Contains glossary

    SciTech Connect (OSTI)

    Not Available

    1992-03-11

    Lighting represents a substantial fraction of commercial electricity consumption. A wide range of initiatives in the Department of Energy's (DOE) National Energy Strategy have focused on commercial lighting as a potential source of energy conservation. This report provides a statistical profile of commercial lighting, to examine the potential for lighting energy conservation in commercial buildings. The principal conclusion from this analysis is that energy use for lighting could be reduced by as much as a factor of four using currently available technology. The analysis is based primarily on the Energy Information Administration's (EIA) 1986 Commercial Buildings Energy Consumption Survey (CBECS). The more recent 1989 survey had less detail on lighting, for budget reasons. While changes have occurred in the commercial building stock since 1986, the relationships identified by this analysis are expected to remain generally valid. In addition, the analytic approach developed here can be applied to the data that will be collected in the 1992 CBECS.

  20. Arkansas Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Arkansas Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 4,402 4,956 5,362 4,353 5,720 5,469 3,940 1990's 6,464 1,218 5,570 6,053 4,283 5,083 5,124 6,349 7,980 1,822 2000's 1,468 849 536 615 1,364 1,288 1,351 1,502 2,521 4,091 2010's 5,340 6,173 6,599 6,605 6,452 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of