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Sample records for household size percent

  1. Table 2. Percent of Households with Vehicles, Selected Survey...

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

    Percent of Households with Vehicles, Selected Survey Years " ,"Survey Years" ,1983,1985,1988,1991,1994,2001 "Total",85.5450237,89.00343643,88.75545852,89.42917548,87.25590956,92.08...

  2. Fact #727: May 14, 2012 Nearly Twenty Percent of Households Own Three or More Vehicles

    Broader source: Energy.gov [DOE]

    Household vehicle ownership has changed over the last six decades. In 1960, over twenty percent of households did not own a vehicle, but by 2010, that number fell to less than 10%. The number of...

  3. homeoffice_household2001.pdf

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

    ... RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... 29.1 5.3 22.7 3.8 1 Below 150 percent of poverty line or 60 percent of median State ...

  4. char_household2001.pdf

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

    RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... Income Relative to Poverty Line Below 100 Percent ...... 15.0 13.2 1.8 Q ...

  5. homeoffice_household2001.pdf

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

    RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... 29.1 5.3 22.7 3.8 1 Below 150 percent of poverty line or 60 percent of median State income

  6. Household magnets

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

    Household magnets Chances are very good that you have experimented with magnets. People have been fascinated with magnetism for thousands of years. As familiar to us as they may be, magnets still have some surprises for us. Here is a small collection of some of our favorite magnet experiments. What happens when we break a magnet in half? Radio Shack sells cheap ceramic magnets in several shapes. Get a ring shaped magnet and break it with pliers or a tap with a hammer. Try to put it back

  7. EIA - Household Transportation report: Household Vehicles Energy...

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

    logo printer-friendly version logo for Portable Document Format file Household Vehicles Energy Consumption 1994 August 1997 Release Next Update: EIA has discontinued this series....

  8. Variable Average Absolute Percent Differences

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

    Variable Average Absolute Percent Differences Percent of Projections Over- Estimated Gross Domestic Product Real Gross Domestic Product (Average Cumulative Growth)* (Table 2) 0.9 45.8 Petroleum Imported Refiner Acquisition Cost of Crude Oil (Constant $) (Table 3a) 37.7 17.3 Imported Refiner Acquisition Cost of Crude Oil (Nominal $) (Table 3b) 36.6 18.7 Total Petroleum Consumption (Table 4) 7.9 70.7 Crude Oil Production (Table 5) 8.1 51.1 Petroleum Net Imports (Table 6) 24.7 73.8 Natural Gas

  9. char_household2001.pdf

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

    Income Relative to Poverty Line Below 100 Percent ...... definition. 2 Below 150 percent of poverty line or 60 percent of median State ...

  10. Try This: Household Magnets

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

    Household Magnets Household Magnets Chances are very good that you have experimented with magnets. People have been fascinated with magnetism for thousands of years. As familiar to us as they may be, magnets still have some surprises for us. Here is a small collection of some of our favorite magnet experiments. What happens when we break a magnet in half? Radio Shack sells cheap ceramic magnets in several shapes. Get a ring shaped magnet and break it with pliers or a tap with a hammer. Try to

  11. Norwich Public Utilities- Zero Percent Financing Program

    Broader source: Energy.gov [DOE]

    In partnership with several local banks, Norwich Public Utilities (NPU) is offering a zero percent loan to commercial and industrial customers for eligible energy efficiency improvement projects....

  12. Fact #727: May 14, 2012 Nearly Twenty Percent of Households Own...

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

    Trends in the United States and its Major Metropolitan Area, 1960-1990, Cambridge, MA, 1994, p. 2-2. 2000 data - U.S. Bureau of the Census, American Fact Finder, ...

  13. usage_household2001.pdf

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

    ... RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ...

  14. housingunit_household2001.pdf

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

    ... RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ...

  15. spaceheat_household2001.pdf

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

    RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ...

  16. ac_household2001.pdf

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

    RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ...

  17. Million Cu. Feet Percent of National Total

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

    8 Minnesota - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet ... Summary statistics for natural gas - Minnesota, 2010-2014 2010 2011 2012 2013 2014 ...

  18. Million Cu. Feet Percent of National Total

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

    2 Alaska - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S2. Summary statistics for natural gas - Alaska, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 269 277 185 R 159 170 Production (million cubic feet) Gross Withdrawals From Gas Wells 127,417 112,268

  19. Million Cu. Feet Percent of National Total

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

    6 District of Columbia - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S9. Summary statistics for natural gas - District of Columbia, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells

  20. Million Cu. Feet Percent of National Total

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

    4 Massachusetts - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S23. Summary statistics for natural gas - Massachusetts, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0

  1. Million Cu. Feet Percent of National Total

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

    50 North Dakota - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S36. Summary statistics for natural gas - North Dakota, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 188 239 211 200 200 Production (million cubic feet) Gross Withdrawals From Gas Wells

  2. Million Cu. Feet Percent of National Total

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

    6 Washington - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S49. Summary statistics for natural gas - Washington, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil

  3. District of Columbia Natural Gas Percent Sold to The Commercial...

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

    by Local Distribution Companies (Percent) District of Columbia Natural Gas Percent Sold to The Commercial Sectors by Local Distribution Companies (Percent) Decade Year-0 ...

  4. char_household2001.pdf

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

    Income Relative to Poverty Line Below 100 Percent ...... 0.6 0.5 Q 17.4 1 Below 150 percent of poverty line or 60 percent of median State ...

  5. char_household2001.pdf

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

    Income Relative to Poverty Line Below 100 Percent ...... 1.5 0.5 1.0 14.6 1 Below 150 percent of poverty line or 60 percent of median State ...

  6. char_household2001.pdf

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

    Income Relative to Poverty Line Below 100 Percent ...... 15.0 1.0 3.4 ... weather station. 2 Below 150 percent of poverty line or 60 percent of median State ...

  7. char_household2001.pdf

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

    Income Relative to Poverty Line Below 100 Percent ...... 0.7 0.4 0.2 18.4 1 Below 150 percent of poverty line or 60 percent of median State ...

  8. char_household2001.pdf

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

    Income Relative to Poverty Line Below 100 Percent ...... 15.0 1.4 2.3 ... were conducted. 2 Below 150 percent of poverty line or 60 percent of median State ...

  9. char_household2001.pdf

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

    Income Relative to Poverty Line Below 100 Percent ...... 0.9 0.5 0.6 13.0 1 Below 150 percent of poverty line or 60 percent of median State ...

  10. char_household2001.pdf

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

    Income Relative to Poverty Line Below 100 Percent ...... 1.2 0.7 0.5 11.3 1 Below 150 percent of poverty line or 60 percent of median State ...

  11. Million Cu. Feet Percent of National Total

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

    0 Alabama - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S1. Summary statistics for natural gas - Alabama, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 7,026 7,063 6,327 R 6,165 6,118 Production (million cubic feet) Gross Withdrawals From Gas Wells

  12. Million Cu. Feet Percent of National Total

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

    0 Colorado - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S6. Summary statistics for natural gas - Colorado, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 28,813 30,101 32,000 R 32,468 38,346 Production (million cubic feet) Gross Withdrawals From Gas

  13. Million Cu. Feet Percent of National Total

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

    8 Florida - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S10. Summary statistics for natural gas - Florida, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 17,182 16,459 19,742

  14. Million Cu. Feet Percent of National Total

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

    4 Hawaii - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S13. Summary statistics for natural gas - Hawaii, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0

  15. Million Cu. Feet Percent of National Total

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

    6 Idaho - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S14. Summary statistics for natural gas - Idaho, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0

  16. Million Cu. Feet Percent of National Total

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

    4 Kansas - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S18. Summary statistics for natural gas - Kansas, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 22,145 25,758 24,697 R 23,792 24,354 Production (million cubic feet) Gross Withdrawals From Gas Wells

  17. Million Cu. Feet Percent of National Total

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

    8 Louisiana - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S20. Summary statistics for natural gas - Louisiana, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 19,137 21,235 19,792 R 19,528 19,251 Production (million cubic feet) Gross Withdrawals From Gas

  18. Million Cu. Feet Percent of National Total

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

    4 New Mexico - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S33. Summary statistics for natural gas - New Mexico, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 44,748 32,302 28,206 R 27,073 27,957 Production (million cubic feet) Gross Withdrawals From

  19. Million Cu. Feet Percent of National Total

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

    6 Oregon - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S39. Summary statistics for natural gas - Oregon, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 26 24 27 R 26 28 Production (million cubic feet) Gross Withdrawals From Gas Wells 1,407 1,344 770 770

  20. 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...

  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. Next Generation Household Refrigerator | Department of Energy

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

    Next Generation Household Refrigerator Next Generation Household Refrigerator Embraco's high efficiency, oil-free linear compressor.
    Credit: Whirlpool Embraco's high ...

  3. Strategies for Collecting Household Energy Data | Department...

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

    Collecting Household Energy Data Strategies for Collecting Household Energy Data Better Buildings Neighborhood Program Data and Evaluation Peer Exchange Call: Strategies for ...

  4. Household Vehicles Energy Use Cover Page

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

    Energy Use Cover Page Glossary Home > Households, Buildings & Industry >Transportation Surveys > Household Vehicles Energy Use Cover Page Contact Us * Feedback * PrivacySecurity *...

  5. ac_household2001.pdf

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

    0a. Air Conditioning by Midwest Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 20.5 13.6 6.8 2.2 Air Conditioners Not Used ........................... 2.1 0.3 Q Q 27.5 Households Using Electric Air-Conditioning 1

  6. ac_household2001.pdf

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

    1a. Air Conditioning by South Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.8 1.2 1.3 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 37.2 19.3 6.4 11.5 1.5 Air Conditioners Not Used ........................... 2.1 0.4 Q Q Q 28.2 Households Using Electric Air-Conditioning 1

  7. Percent of Industrial Natural Gas Deliveries in New Mexico Represented...

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

    Mexico Represented by the Price (Percent) Percent of Industrial Natural Gas Deliveries in New Mexico Represented by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct ...

  8. ac_household2001.pdf

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

    Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.2 1.8 Households With Electric Air-Conditioning Equipment ...

  9. char_household2001.pdf

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

    Contact: Stephanie J. Battles, Survey Manager (stephanie.battles@eia.doe.gov) World Wide Web: http:www.eia.doe.govemeuconsumption Table HC2-1a. Household Characteristics by ...

  10. homeoffice_household2001.pdf

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

    107.0 7.1 12.3 7.7 6.3 NE Households Using Office Equipment ... NE RSE row factor not estimated because RSE's for all statistics in this row are between ...

  11. homeoffice_household2001.pdf

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

    ......... 107.0 24.5 17.1 7.4 NE Households Using Office Equipment ... NE RSE row factor not estimated because RSE's for all statistics in this row are between ...

  12. homeoffice_household2001.pdf

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

    107.0 38.9 20.3 6.8 11.8 NE Households Using Office Equipment ... NE RSE row factor not estimated because RSE's for all statistics in this row are between ...

  13. homeoffice_household2001.pdf

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

    ......... 107.0 23.3 6.7 16.6 NE Households Using Office Equipment ... NE RSE row factor not estimated because RSE's for all statistics in this row are between ...

  14. spaceheat_household2001.pdf

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

    ... location is over a period of one year, relative to a base temperature of 65 degrees Fahrenheit. A household is assigned to a climate zone according to the 30-year average annual ...

  15. 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) . . . . . . . . ....

  16. ac_household2001.pdf

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

    2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Four Most Populated ... New York California Texas Florida 0.4 1.1 1.7 1.2 1.2 Households With Electric Air-Conditi...

  17. ac_household2001.pdf

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

    2a. Air Conditioning by Year of Construction, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to ...

  18. ac_household2001.pdf

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

    2a. Air Conditioning by West Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total ...

  19. ac_household2001.pdf

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

    8a. Air Conditioning by UrbanRural Location, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total UrbanRural Location 1 RSE Row Factors City ...

  20. char_household2001.pdf

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

    Income Relative to Poverty Line Below 100 Percent ...... 15.0 6.7 2.3 ... 4.9 Q Q 0.2 14.8 1 Below 150 percent of poverty line or 60 percent of median State ...

  1. char_household2001.pdf

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

    Income Relative to Poverty Line Below 100 Percent ...... 5.2 3.9 Q Q 1.1 21.9 100 to 150 Percent ...... 6.4 5.2 0.2 Q 0.9 16.5 Above 150 Percent ...

  2. Federal Government Increases Renewable Energy Use Over 1000 Percent...

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

    Government Increases Renewable Energy Use Over 1000 Percent since 1999; Exceeds Goal Federal Government Increases Renewable Energy Use Over 1000 Percent since 1999; Exceeds Goal...

  3. Cover Page of Household Vehicles Energy Use: Latest Data & Trends

    Gasoline and Diesel Fuel Update (EIA)

    Household Vehicles Energy Use Cover Page Cover Page of Household Vehicles Energy Use: Latest Data & Trends...

  4. char_household2001.pdf

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

    Income Relative to Poverty Line Below 100 Percent ...... 9.8 2.8 2.1 4.4 0.5 11.6 100 to 150 Percent ...... 5.1 1.4 1.1 2.3 Q 14.2 Above 150 ...

  5. New York Household Travel Patterns: A Comparison Analysis

    SciTech Connect (OSTI)

    Hu, Patricia S; Reuscher, Tim

    2007-05-01

    In 1969, the U. S. Department of Transportation began collecting detailed data on personal travel to address various transportation planning issues. These issues range from assessing transportation investment programs to developing new technologies to alleviate congestion. This 1969 survey was the birth of the Nationwide Personal Transportation Survey (NPTS). The survey was conducted again in 1977, 1983, 1990 and 1995. Longer-distance travel was collected in 1977 and 1995. In 2001, the survey was renamed to the National Household Travel Survey (NHTS) and collected both daily and longer-distance trips in one survey. In addition to the number of sample households that the national NPTS/NHTS survey allotted to New York State (NYS), the state procured an additional sample of households in both the 1995 and 2001 surveys. In the 1995 survey, NYS procured an addition sample of more than 9,000 households, increasing the final NY NPTS sample size to a total of 11,004 households. Again in 2001, NYS procured 12,000 additional sample households, increasing the final New York NHTS sample size to a total of 13,423 households with usable data. These additional sample households allowed NYS to address transportation planning issues pertinent to geographic areas significantly smaller than for what the national NPTS and NHTS data are intended. Specifically, these larger sample sizes enable detailed analysis of twelve individual Metropolitan Planning Organizations (MPOs). Furthermore, they allowed NYS to address trends in travel behavior over time. In this report, travel data for the entire NYS were compared to those of the rest of the country with respect to personal travel behavior and key travel determinants. The influence of New York City (NYC) data on the comparisons of the state of New York to the rest of the country was also examined. Moreover, the analysis examined the relationship between population density and travel patterns, and the similarities and differences among New York MPOs. The 1995 and 2001 survey data make it possible to examine and identify travel trends over time. This report does not address, however, the causes of the differences and/or trends.

  6. Fact #748: October 8, 2012 Components of Household Expenditures...

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

    Household Expenditures on Transportation, 1984-2010 Fact 748: October 8, 2012 Components of Household Expenditures on Transportation, 1984-2010 The overall share of annual household ...

  7. New Mexico Natural Gas % of Total Residential Deliveries (Percent...

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

    % of Total Residential Deliveries (Percent) New Mexico Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  8. Connecticut Natural Gas % of Total Residential Deliveries (Percent...

    Gasoline and Diesel Fuel Update (EIA)

    % of Total Residential Deliveries (Percent) Connecticut Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

  9. Maine Natural Gas % of Total Residential Deliveries (Percent...

    Gasoline and Diesel Fuel Update (EIA)

    % of Total Residential Deliveries (Percent) Maine Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  10. Virginia Natural Gas % of Total Residential Deliveries (Percent...

    Gasoline and Diesel Fuel Update (EIA)

    % of Total Residential Deliveries (Percent) Virginia Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  11. Washington Natural Gas % of Total Residential Deliveries (Percent...

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

    % of Total Residential Deliveries (Percent) Washington Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  12. Waste Isolation Pilot Plant Contractor Receives 86 Percent of...

    Office of Environmental Management (EM)

    Waste Isolation Pilot Plant Contractor Receives 86 Percent of Available Fee Waste Isolation Pilot Plant Contractor Receives 86 Percent of Available Fee April 27, 2016 - 12:20pm ...

  13. Kansas Natural Gas % of Total Residential Deliveries (Percent...

    Gasoline and Diesel Fuel Update (EIA)

    % of Total Residential Deliveries (Percent) Kansas Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  14. Arizona Natural Gas % of Total Residential Deliveries (Percent...

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

    % of Total Residential Deliveries (Percent) Arizona Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  15. Microsoft Word - Household Energy Use CA

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

    US PAC CA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 ... households use 62 million Btu of energy per home, 31% less than the U.S. average. ...

  16. Table 2.6 Household End Uses: Fuel Types, Appliances, and Electronics, Selected Years, 1978-2009

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

    6 Household End Uses: Fuel Types, Appliances, and Electronics, Selected Years, 1978-2009 Appliance Year Change 1978 1979 1980 1981 1982 1984 1987 1990 1993 1997 2001 2005 2009 1980 to 2009 Total Households (millions) 77 78 82 83 84 86 91 94 97 101 107 111 114 32 Percent of Households<//td> Space Heating - Main Fuel 1 Natural Gas 55 55 55 56 57 55 55 55 53 52 55 52 50 -5 Electricity 2 16 17 18 17 16 17 20 23 26 29 29 30 35 17 Liquefied Petroleum Gases 4 5 5 4 5 5 5 5 5 5 5 5 5 0 Distillate

  17. Federal Government Increases Renewable Energy Use Over 1000 Percent since

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

    1999; Exceeds Goal | Department of Energy Government Increases Renewable Energy Use Over 1000 Percent since 1999; Exceeds Goal Federal Government Increases Renewable Energy Use Over 1000 Percent since 1999; Exceeds Goal November 3, 2005 - 12:35pm Addthis WASHINGTON, DC - The Department of Energy (DOE) announced today that the federal government has exceeded its goal of obtaining 2.5 percent of its electricity needs from renewable energy sources by September 30, 2005. The largest energy

  18. Dismantlements of Nuclear Weapons Jump 50 Percent | National...

    National Nuclear Security Administration (NNSA)

    Dismantlements of Nuclear Weapons Jump 50 Percent June 07, 2007 WASHINGTON, D.C. -- Meeting President Bush's directive to reduce the country's nuclear arsenal, the Department of ...

  19. Nuclear Weapons Dismantlement Rate Up 146 Percent | National...

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

    Nuclear Weapons Dismantlement Rate Up 146 Percent October 01, 2007 WASHINGTON, D.C. -- The United States significantly increased its rate of dismantled nuclear weapons during ...

  20. Energy-efficient housing alternatives: a predictive model of factors affecting household perceptions

    SciTech Connect (OSTI)

    Schreckengost, R.L.

    1985-01-01

    The major purpose of this investigation was to assess the impact of household socio-economic factors, dwelling characteristics, energy conservation behavior, and energy attitudes on the perceptions of energy-efficient housing alternatives. Perceptions of passive solar, active solar, earth sheltered, and retrofitted housing were examined. Data used were from the Southern Regional Research Project, S-141, Housing for Low and Moderate Income Families. Responses from 1804 households living in seven southern states were analyzed. A conceptual model was proposed to test the hypothesized relationships which were examined by path analysis. Perceptions of energy efficient housing alternatives were found to be a function of selected household and dwelling characteristics, energy attitude, household economic factors, and household conservation behavior. Age and education of the respondent, family size, housing-income ratio, utility income ratio, energy attitude, and size of the dwelling unit were found to have direct and indirect effects on perceptions of energy-efficient housing alternatives. Energy conservation behavior made a significant direct impact with behavioral energy conservation changes having the most profound influence. Conservation behavior was influenced by selected household and dwelling characteristics, energy attitude, and household economic factors.

  1. Characteristics RSE Column Factor: Households with Children Households...

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

    ... 7.6 2.1 3.3 2.2 11.5 Q Q Q 1.4 6.9 2.8 18.8 Below Poverty Line 100 Percent ... 6.6 1.6 3.6 1.3 5.8 0.3 0.7...

  2. spaceheat_household2001.pdf

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

    0a. Space Heating by Midwest Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.6 Total .............................................................. 107.0 24.5 17.1 7.4 NE Heat Home .................................................... 106.0 24.5 17.1 7.4 NE Do Not Heat Home ....................................... 1.0 Q Q Q 19.8 No

  3. spaceheat_household2001.pdf

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

    1a. Space Heating by South Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.9 1.2 1.4 1.3 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Heat Home .................................................... 106.0 38.8 20.2 6.8 11.8 NE Do Not Heat Home

  4. 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.

  5. Minnesota Natural Gas % of Total Residential Deliveries (Percent...

    Gasoline and Diesel Fuel Update (EIA)

    Minnesota Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 ... Share of Total U.S. Natural Gas Residential Deliveries Minnesota Share of Total U.S. ...

  6. PERCENT FEDERAL LAND FOR OIL/GAS FIELD OUTLINES

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

    The VBA code below calculates the area percent of a first polygon layer (e.g. oilgas field outlines) that are within a second polygon layer (e.g. federal land) and writes out the ...

  7. California Natural Gas % of Total Residential Deliveries (Percent...

    Gasoline and Diesel Fuel Update (EIA)

    California Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 ... Share of Total U.S. Natural Gas Residential Deliveries California Share of Total U.S. ...

  8. Arizona - Natural Gas 2014 Million Cu. Feet Percent of

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

    4 Arizona - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S3. Summary statistics for natural gas - Arizona, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 5 5 5 5 5 Production (million cubic feet) Gross Withdrawals From Gas Wells 183 168 117 72 106 From

  9. "Variable","Average Absolute Percent Differences","Percent of Projections Over- Estimated"

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

    Annual Energy Outlook Retrospective Review, 2014" "Variable","Average Absolute Percent Differences","Percent of Projections Over- Estimated" "Gross Domestic Product" "Real Gross Domestic Product (Average Cumulative Growth)* (Table 2)",0.9204312786,45.77777778 "Petroleum" "Imported Refiner Acquisition Cost of Crude Oil (Constant $) (Table 3a)",37.71300779,17.33333333 "Imported Refiner Acquisition Cost of Crude Oil

  10. Household Response To Dynamic Pricing Of Electricity: A Survey...

    Open Energy Info (EERE)

    Household Response To Dynamic Pricing Of Electricity: A Survey Of The Experimental Evidence Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Household Response To Dynamic...

  11. Fact #565: April 6, 2009 Household Gasoline Expenditures by Income...

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

    Household Gasoline Expenditures by Income Quintile Bar graph showing the household gasoline expenditures by income quintile in the years 1989, 1997, and 2007. For more detailed ...

  12. Loan Programs for Low- and Moderate-Income Households | Department...

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

    Programs for Low- and Moderate-Income Households Loan Programs for Low- and Moderate-Income Households Better Buildings Residential Network Multifamily and Low-Income Housing Peer ...

  13. Kingston Creek Hydro Project Powers 100 Households | Department...

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

    Kingston Creek Hydro Project Powers 100 Households Kingston Creek Hydro Project Powers 100 Households August 21, 2013 - 12:00am Addthis Nevada-based contracting firm Nevada ...

  14. Energy Information Administration/Household Vehicles Energy Consumptio...

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

    , Energy Information AdministrationHousehold Vehicles Energy Consumption 1994 ix Household Vehicles Energy Consumption 1994 presents statistics about energy-related...

  15. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    SciTech Connect (OSTI)

    Kramer, Klaas Jan; Homan, Greg; Brown, Rich; Worrell, Ernst; Masanet, Eric

    2009-04-15

    The term ?household carbon footprint? refers to the total annual carbon emissions associated with household consumption of energy, goods, and services. In this project, Lawrence Berkeley National Laboratory developed a carbon footprint modeling framework that characterizes the key underlying technologies and processes that contribute to household carbon footprints in California and the United States. The approach breaks down the carbon footprint by 35 different household fuel end uses and 32 different supply chain fuel end uses. This level of end use detail allows energy and policy analysts to better understand the underlying technologies and processes contributing to the carbon footprint of California households. The modeling framework was applied to estimate the annual home energy and supply chain carbon footprints of a prototypical California household. A preliminary assessment of parameter uncertainty associated with key model input data was also conducted. To illustrate the policy-relevance of this modeling framework, a case study was conducted that analyzed the achievable carbon footprint reductions associated with the adoption of energy efficient household and supply chain technologies.

  16. U.S. Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Deliveries (Percent) U.S. Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100 100 100 100 100 100 100 2000's 100 100 100 100 100 100 100 100 100 100 2010's 100 100 100 100 100 - = 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: Share of Total U.S. Natural Gas

  17. BOSS Measures the Universe to One-Percent Accuracy

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

    BNL

    BOSS Measures the Universe to One-Percent Accuracy BOSS Measures the Universe to One-Percent Accuracy The Baryon Oscillation Spectroscopic Survey makes the most precise calibration yet of the universe's "standard ruler" January 8, 2014 Contact: Paul Preuss, Paul_Preuss@lbl.gov , +1 415-272-3253 BOSS-BAOv1.jpg Baryon acoustic oscillations (gray spheres), which descend from waves of increased density in the very early universe, are where galaxies have a tendency to cluster or

  18. Los Alamos reduces water use by 26 percent in 2014

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

    Los Alamos reduces water use Los Alamos reduces water use by 26 percent in 2014 The Lab decreased its water usage by 26 percent, with about one-third of the reduction attributable to using reclaimed water to cool a supercomputing center. March 16, 2015 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and

  19. 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.

  20. Transferring 2001 National Household Travel Survey

    SciTech Connect (OSTI)

    Hu, Patricia S; Reuscher, Tim; Schmoyer, Richard L; Chin, Shih-Miao

    2007-05-01

    Policy makers rely on transportation statistics, including data on personal travel behavior, to formulate strategic transportation policies, and to improve the safety and efficiency of the U.S. transportation system. Data on personal travel trends are needed to examine the reliability, efficiency, capacity, and flexibility of the Nation's transportation system to meet current demands and to accommodate future demand. These data are also needed to assess the feasibility and efficiency of alternative congestion-mitigating technologies (e.g., high-speed rail, magnetically levitated trains, and intelligent vehicle and highway systems); to evaluate the merits of alternative transportation investment programs; and to assess the energy-use and air-quality impacts of various policies. To address these data needs, the U.S. Department of Transportation (USDOT) initiated an effort in 1969 to collect detailed data on personal travel. The 1969 survey was the first Nationwide Personal Transportation Survey (NPTS). The survey was conducted again in 1977, 1983, 1990, 1995, and 2001. Data on daily travel were collected in 1969, 1977, 1983, 1990 and 1995. In 2001, the survey was renamed the National Household Travel Survey (NHTS) and it collected both daily and long-distance trips. The 2001 survey was sponsored by three USDOT agencies: Federal Highway Administration (FHWA), Bureau of Transportation Statistics (BTS), and National Highway Traffic Safety Administration (NHTSA). The primary objective of the survey was to collect trip-based data on the nature and characteristics of personal travel so that the relationships between the characteristics of personal travel and the demographics of the traveler can be established. Commercial and institutional travel were not part of the survey. Due to the survey's design, data in the NHTS survey series were not recommended for estimating travel statistics for categories smaller than the combination of Census division (e.g., New England, Middle Atlantic, and Pacific), MSA size, and the availability of rail. Extrapolating NHTS data within small geographic areas could risk developing and subsequently using unreliable estimates. For example, if a planning agency in City X of State Y estimates travel rates and other travel characteristics based on survey data collected from NHTS sample households that were located in City X of State Y, then the agency could risk developing and using unreliable estimates for their planning process. Typically, this limitation significantly increases as the size of an area decreases. That said, the NHTS contains a wealth of information that could allow statistical inferences about small geographic areas, with a pre-determined level of statistical certainty. The question then becomes whether a method can be developed that integrates the NHTS data and other data to estimate key travel characteristics for small geographic areas such as Census tract and transportation analysis zone, and whether this method can outperform other, competing methods.

  1. Alaska Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    % of Total Residential Deliveries (Percent) Alaska Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.28 0.31 0.31 0.31 0.30 0.35 0.37 2000's 0.32 0.35 0.33 0.33 0.37 0.37 0.47 0.42 0.44 0.42 2010's 0.39 0.43 0.52 0.39 0.35 - = 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

  2. Hawaii Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,056 1,055 1,057 1,043 983 983 983 983 983 983 983 983 2014 947 946 947 947 947 947 951 978 990 968 974 962 2015 968 954 947 959 990 1,005 1,011 965 989 996 996 997 2016 998 1,004

    % of Total Residential Deliveries (Percent) Hawaii Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.01 0.01 0.01 0.01 0.01 0.01 0.01 2000's 0.01 0.01 0.01

  3. Idaho Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,015 1,015 1,031 1,021 1,010 997 988 994 1,001 1,026 1,034 1,054 2014 1,048 1,036 1,030 1,022 1,006 993 984 996 1,005 1,019 1,046 1,039 2015 1,047 1,037 1,030 1,023 1,000 1,010 1,034 1,028 1,024 1,033 1,035 1,041 2016 1,034 1,038

    % of Total Residential Deliveries (Percent) Idaho Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.25

  4. Alabama Natural Gas % of Total Electric Utility Deliveries (Percent)

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

    Electric Utility Deliveries (Percent) Alabama Natural Gas % of Total Electric Utility Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.17 0.13 0.23 0.23 0.29 0.60 0.53 2000's 0.81 1.29 1.98 1.68 2.14 1.79 2.34 2.57 2.46 3.30 2010's 3.81 4.53 4.40 4.08 4.23 - = 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. Alabama Natural Gas % of Total Residential Deliveries (Percent)

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

    Residential Deliveries (Percent) Alabama Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 1.04 1.03 1.02 1.08 0.97 1.03 0.90 2000's 0.95 1.03 0.95 0.92 0.90 0.87 0.87 0.75 0.77 0.75 2010's 0.88 0.78 0.66 0.72 0.77 - = 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:

  6. Alabama Natural Gas % of Total Vehicle Fuel Deliveries (Percent)

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

    Vehicle Fuel Deliveries (Percent) Alabama Natural Gas % of Total Vehicle Fuel Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.44 0.20 0.15 0.08 0.71 0.57 0.57 2000's 0.57 0.52 0.52 0.52 0.52 0.67 0.47 0.36 0.32 0.29 2010's 0.37 0.64 0.64 0.63 0.63 - = 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:

  7. Alabama Natural Gas Percentage Total Commercial Deliveries (Percent)

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

    Commercial Deliveries (Percent) Alabama Natural Gas Percentage Total Commercial Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.90 0.88 0.87 0.92 1.01 0.86 0.91 2000's 0.80 0.87 0.80 0.80 0.85 0.84 0.86 0.78 0.80 0.78 2010's 0.87 0.80 0.74 0.77 0.79 - = 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

  8. Alabama Natural Gas Percentage Total Industrial Deliveries (Percent)

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

    Industrial Deliveries (Percent) Alabama Natural Gas Percentage Total Industrial Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.28 2.23 2.38 2.27 2.36 2.39 2.53 2000's 2.46 2.11 2.13 2.22 2.25 2.29 2.30 2.26 2.13 2.13 2010's 2.12 2.19 2.38 2.42 2.46 - = 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

  9. New NREL Research Facility Slashes Energy Use by 66 Percent

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

    NREL Research Facility Slashes Energy Use by 66 Percent For more information contact: Linda Brown, 275-4097 Golden, Colo., October 3, 1996 -- Americans can look forward to lower utility bills and more comfortable buildings thanks to a new research facility dedicated today at the U.S. Department of Energy's National Renewable Energy Laboratory. Christine Ervin, DOE's assistant secretary for renewable energy and energy efficiency, and U.S. Congressman Dan Schaefer (R.-Colo.) helped dedicate the

  10. Characterization of household hazardous waste from Marin County, California, and New Orleans, Louisiana

    SciTech Connect (OSTI)

    Rathje, W.L.; Wilson, D.C.; Lambou, V.W.; Herndon, R.C.

    1987-09-01

    There is a growing concern that certain constituents of common household products, that are discarded in residential garbage, may be potentially harmful to human health and the environment by adversely affecting the quality of ground and surface water. A survey of hazardous wastes in residential garbage from Marin County, California, and New Orleans, Louisiana, was conducted in order to determine the amount and characteristics of such wastes that are entering municipal landfills. The results of the survey indicate that approximately 642 metric tons of hazardous waste are discarded per year for the New Orleans study area and approximately 259 metric tons are discarded per year for the Marin County study area. Even though the percent of hazardous household waste in the garbage discarded in both study areas was less than 1%, it represents a significant quantity of hazardous waste because of the large volume of garbage involved.

  11. Percent of Commercial Natural Gas Deliveries in California Represented by

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

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 86.6 77.8 74.5 76.9 48.8 52.1 54.9 50.4 48.7 57.1 2000's 57.1 62.6 68.6 70.3 71.2 68.7 64.7 60.7 56.7 54.9 2010's 54.1 54.3 50.0 49.9 48.4 50.0

  12. Percent of Commercial Natural Gas Deliveries in District of Columbia

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

    Represented by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100.0 97.3 99.0 98.0 90.9 76.8 70.5 54.9 52.3 45.9 2000's 35.6 22.4 23.5 30.5 23.3 100.0 100.0 100.0 100.0 100.0 2010's 100.0 16.9 17.9 19.1 19.9 21.4

  13. Percent of Commercial Natural Gas Deliveries in Louisiana Represented by

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

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100.0 99.1 87.5 98.1 97.9 98.1 98.3 95.9 94.6 93.8 2000's 96.3 96.5 99.0 98.8 98.6 98.6 98.4 98.0 98.4 92.0 2010's 85.9 83.6 78.0 77.7 78.9 79.1

  14. Percent of Commercial Natural Gas Deliveries in Massachusetts Represented

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

    by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 99.9 99.8 99.8 97.5 76.2 84.9 74.7 62.6 57.9 59.8 2000's 63.0 62.1 57.4 68.7 71.3 70.5 70.6 65.3 57.9 56.9 2010's 52.1 50.0 48.6 39.4 42.3 NA

  15. Percent of Commercial Natural Gas Deliveries in Mississippi Represented by

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

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 95.6 95.9 96.4 96.6 96.6 97.0 97.4 94.8 94.8 96.0 2000's 95.6 95.7 96.7 95.9 95.7 95.7 94.9 88.8 90.4 91.0 2010's 90.6 89.8 89.0 89.1 87.5 NA

  16. Percent of Commercial Natural Gas Deliveries in New Hampshire Represented

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

    by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100.0 100.0 100.0 100.0 100.0 99.2 96.9 92.4 94.1 93.2 2000's 86.4 86.6 80.6 79.2 74.9 75.7 75.4 71.2 58.9 53.9 2010's 57.3 55.6 51.8 50.2 57.0 58.4

  17. Percent of Commercial Natural Gas Deliveries in North Carolina Represented

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

    by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 94.6 95.0 95.9 98.5 96.6 92.4 96.5 94.4 90.6 93.8 2000's 96.5 94.0 90.8 92.2 89.0 87.6 83.2 83.0 84.5 85.2 2010's 84.8 84.4 83.5 84.5 84.9 NA

  18. Percent of Commercial Natural Gas Deliveries in Pennsylvania Represented by

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

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 78.4 77.3 75.8 77.4 74.4 68.4 70.4 63.6 56.8 56.9 2000's 60.5 63.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 2010's 100.0 48.5 42.1 40.2 41.4 NA

  19. Percent of Commercial Natural Gas Deliveries in South Carolina Represented

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

    by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 97.8 98.2 98.6 99.2 98.5 96.4 99.0 98.8 97.9 97.1 2000's 98.7 97.5 98.5 96.6 96.4 96.2 95.0 94.9 94.9 93.5 2010's 92.7 91.1 90.6 91.7 92.8 91.3

  20. Percent of Commercial Natural Gas Deliveries in Tennessee Represented by

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

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 97.5 95.7 96.4 95.8 94.1 93.8 94.3 92.2 87.3 88.8 2000's 92.5 93.6 90.9 90.5 92.2 92.2 92.0 91.9 91.7 90.2 2010's 90.8 89.9 88.8 90.0 90.7 88.6

  1. Percent of Commercial Natural Gas Deliveries in Washington Represented by

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

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 93.6 92.2 87.3 93.9 95.4 91.8 85.9 84.1 86.8 89.3 2000's 92.7 94.0 89.8 88.0 88.5 88.8 88.9 89.2 89.0 88.7 2010's 87.8 88.4 87.4 86.8 86.0 85.2

  2. Percent of Commercial Natural Gas Deliveries in West Virginia Represented

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

    by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 58.1 54.9 56.9 54.3 55.2 51.6 56.3 54.5 49.5 51.8 2000's 56.6 63.9 57.4 60.2 57.1 58.2 56.0 58.6 53.5 53.6 2010's 51.0 49.2 48.9 52.9 56.7 53.3

  3. Percent of Commercial Natural Gas Deliveries in Wisconsin Represented by

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

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 90.7 91.0 91.3 94.4 93.5 92.0 91.6 82.1 74.0 79.0 2000's 78.1 77.2 75.9 79.1 79.7 79.0 76.0 75.5 76.8 76.8 2010's 76.2 76.4 74.4 77.7 77.0 NA

  4. Percent of Industrial Natural Gas Deliveries in Louisiana Represented by

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

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 10.1 9.2 8.5 2000's 10.8 8.3 13.4 13.4 21.6 27.9 28.4 25.9 21.4 18.3 2010's 16.7 13.7 14.7 14.2 11.9

  5. Percent of Industrial Natural Gas Deliveries in Massachusetts Represented

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

    by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 33.8 26.2 36.9 2000's 27.3 26.3 20.0 45.4 38.2 36.5 34.4 29.9 20.6 21.1 2010's 19.4 20.6 17.7 18.3 22.3 26.3

  6. Percent of Industrial Natural Gas Deliveries in Mississippi Represented by

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

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 39.6 37.6 26.3 2000's 26.9 28.8 25.9 33.7 34.4 25.2 20.0 15.0 12.2 10.1 2010's 9.6 9.7 9.6 10.6 9.9 9.0

  7. Percent of Industrial Natural Gas Deliveries in New Hampshire Represented

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

    by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 48.8 30.7 24.3 2000's 18.1 13.0 12.3 12.0 10.7 10.6 14.6 15.3 17.7 20.6 2010's 12.8 10.7 9.0 7.5 9.2

  8. Percent of Industrial Natural Gas Deliveries in North Carolina Represented

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

    by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 45.5 32.1 47.8 2000's 52.2 30.5 39.2 36.9 29.1 26.4 20.8 21.2 19.1 13.6 2010's 11.6 9.7 8.8 9.2 10.2 10.9

  9. Percent of Industrial Natural Gas Deliveries in Pennsylvania Represented by

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

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 14.3 13.1 11.8 2000's 11.8 9.9 7.3 6.6 6.4 7.0 5.5 5.4 5.7 4.5 2010's 3.8 2.0 1.3 1.3 1.2 1.0

  10. Percent of Industrial Natural Gas Deliveries in South Carolina Represented

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

    by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 86.9 86.7 86.1 2000's 86.5 82.1 87.7 78.5 77.8 77.4 71.4 47.3 47.3 47.6 2010's 46.3 45.4 45.1 45.6 43.6 42.1

  11. Percent of Industrial Natural Gas Deliveries in Tennessee Represented by

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

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 38.3 33.1 34.7 2000's 38.5 36.2 36.0 39.9 40.5 42.4 38.9 38.2 39.9 38.2 2010's 35.7 29.7 29.4 29.7 30.0 29.6

  12. Percent of Industrial Natural Gas Deliveries in Washington Represented by

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

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 23.5 20.1 24.0 2000's 34.5 38.2 27.4 20.1 17.3 15.8 20.2 17.4 12.9 8.7 2010's 8.3 7.5 7.3 6.7 6.5 NA

  13. Percent of Industrial Natural Gas Deliveries in West Virginia Represented

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

    by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 12.2 6.3 10.8 2000's 13.8 16.6 12.7 14.0 13.4 17.0 17.0 16.2 19.0 17.4 2010's 14.7 15.6 16.3 18.0 15.6 NA

  14. Percent of Industrial Natural Gas Deliveries in Wisconsin Represented by

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

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 27.1 22.0 20.2 2000's 22.1 19.5 21.4 20.2 18.8 18.1 18.3 18.5 18.3 18.1 2010's 17.4 17.8 17.6 18.8 19.6 NA

  15. "Table HC15.3 Household Characteristics by Four Most Populated States, 2005"

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

    3 Household Characteristics by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","Four Most Populated States" "Household Characteristics",,"New York","Florida","Texas","California" "Total",111.1,7.1,7,8,12.1 "Household Size" "1 Person",30,1.8,1.9,2,3.2 "2 Persons",34.8,2.2,2.3,2.4,3.2 "3 Persons",18.4,1.1,1.3,1.2,1.8

  16. Arkansas Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,015 1,016 1,016 1,016 1,017 1,018 1,016 1,016 1,014 1,012 1,012 1,015 2014 1,017 1,015 1,015 1,018 1,017 1,019 1,021 1,021 1,019 1,018 1,011 1,017 2015 1,021 1,023 1,023 1,025 1,022 1,020 1,023 1,022 1,019 1,029 1,014 1,015 2016 1,019 1,015

    % of Total Residential Deliveries (Percent) Arkansas Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  17. Colorado Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,023 1,032 1,030 1,033 1,040 1,051 1,056 1,057 1,058 1,037 1,032 1,033 2014 1,030 1,036 1,038 1,041 1,051 1,050 1,048 1,048 1,050 1,055 1,042 1,051 2015 1,046 1,044 1,051 1,059 1,059 1,070 1,073 1,069 1,076 1,069 1,060 1,051 2016 1,050 1,052

    % of Total Residential Deliveries (Percent) Colorado Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  18. Delaware Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,050 1,049 1,046 1,048 1,041 1,049 1,058 1,054 1,065 1,064 1,067 1,057 2014 1,052 1,048 1,048 1,051 1,045 1,049 1,063 1,065 1,062 1,063 1,063 1,064 2015 1,061 1,061 1,062 1,051 1,055 1,055 1,044 1,044 1,043 1,051 1,051 1,049 2016 1,055

    % of Total Residential Deliveries (Percent) Delaware Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's

  19. Florida Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,016 1,015 1,016 1,015 1,016 1,015 1,016 1,016 1,017 1,017 1,018 1,018 2014 1,018 1,018 1,018 1,019 1,019 1,019 1,022 1,023 1,024 1,023 1,024 1,025 2015 1,024 1,025 1,024 1,024 1,026 1,026 1,026 1,024 1,024 1,023 1,023 1,023 2016 1,015 1,025

    % of Total Residential Deliveries (Percent) Florida Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  20. Georgia Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,014 1,015 1,016 1,015 1,014 1,015 1,016 1,019 1,017 1,016 1,017 1,017 2014 1,018 1,018 1,018 1,018 1,021 1,022 1,023 1,023 1,027 1,026 1,026 1,025 2015 1,025 1,026 1,025 1,026 1,028 1,031 1,030 1,028 1,029 1,028 1,026 1,027 2016 1,029 1,030

    % of Total Residential Deliveries (Percent) Georgia Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  1. Illinois Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,013 1,013 1,014 1,015 1,015 1,014 1,015 1,015 1,016 1,017 1,019 1,018 2014 1,020 1,020 1,020 1,020 1,020 1,020 1,022 1,020 1,021 1,021 1,023 1,024 2015 1,027 1,030 1,029 1,028 1,029 1,027 1,027 1,027 1,028 1,028 1,030 1,030 2016 1,031 1,031

    % of Total Residential Deliveries (Percent) Illinois Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  2. Indiana Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,011 1,012 1,013 1,015 1,019 1,020 1,019 1,021 1,020 1,018 1,015 1,014 2014 1,016 1,017 1,019 1,019 1,023 1,023 1,025 1,030 1,028 1,027 1,025 1,029 2015 1,028 1,029 1,031 1,039 1,037 1,043 1,043 1,044 1,041 1,039 1,034 1,033 2016 1,030 1,033

    % of Total Residential Deliveries (Percent) Indiana Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  3. Iowa Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,025 1,029 1,029 1,030 1,031 1,030 1,030 1,027 1,028 1,032 1,033 1,032 2014 1,034 1,033 1,034 1,036 1,040 1,039 1,043 1,047 1,044 1,046 1,044 1,045 2015 1,045 1,047 1,047 1,051 1,054 1,060 1,059 1,059 1,058 1,058 1,057 1,056 2016 1,053

    % of Total Residential Deliveries (Percent) Iowa Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's

  4. Kentucky Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,023 1,022 1,023 1,025 1,026 1,027 1,028 1,030 1,031 1,028 1,028 1,033 2014 1,029 1,024 1,026 1,028 1,031 1,037 1,034 1,036 1,038 1,022 1,017 1,019 2015 1,023 1,018 1,015 1,016 1,023 1,021 1,024 1,015 1,020 1,024 1,021 1,024 2016 1,027

    % of Total Residential Deliveries (Percent) Kentucky Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's

  5. Louisiana Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,015 1,013 1,015 1,015 1,015 1,016 1,016 1,017 1,017 1,016 1,018 1,019 2014 1,017 1,016 1,018 1,021 1,028 1,025 1,029 1,029 1,031 1,034 1,037 1,038 2015 1,030 1,031 1,029 1,029 1,028 1,027 1,028 1,024 1,023 1,023 1,022 1,023 2016 1,024 1,025

    % of Total Residential Deliveries (Percent) Louisiana Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8

  6. Maryland Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,041 1,037 1,032 1,027 1,037 1,042 1,060 1,056 1,062 1,059 1,061 1,059 2014 1,053 1,048 1,045 1,049 1,047 1,052 1,051 1,051 1,049 1,052 1,057 1,057 2015 1,059 1,061 1,058 1,051 1,058 1,057 1,055 1,049 1,050 1,053 1,049 1,050 2016 1,061

    % of Total Residential Deliveries (Percent) Maryland Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's

  7. Massachusetts Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,037 1,033 1,032 1,033 1,035 1,032 1,033 1,034 1,036 1,038 1,033 1,030 2014 1,035 1,032 1,031 1,030 1,030 1,031 1,030 1,029 1,029 1,028 1,029 1,028 2015 1,035 1,035 1,030 1,029 1,027 1,027 1,029 1,028 1,027 1,028 1,029 1,030 2016 1,031 1,032

    % of Total Residential Deliveries (Percent) Massachusetts Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7

  8. Michigan Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,021 1,021 1,022 1,026 1,020 1,022 1,024 1,021 1,019 1,019 1,017 1,019 2014 1,019 1,021 1,021 1,017 1,020 1,019 1,015 1,028 1,022 1,023 1,026 1,029 2015 1,027 1,026 1,030 1,035 1,028 1,033 1,034 1,035 1,036 1,034 1,041 1,040 2016 1,040 1,038

    % of Total Residential Deliveries (Percent) Michigan Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  9. Mississippi Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,013 1,013 1,014 1,014 1,015 1,018 1,018 1,021 1,022 1,025 1,020 1,020 2014 1,019 1,014 1,019 1,026 1,030 1,034 1,035 1,036 1,035 1,033 1,035 1,034 2015 1,036 1,033 1,031 1,037 1,032 1,030 1,030 1,029 1,031 1,028 1,029 1,030 2016 1,031 1,032

    % of Total Residential Deliveries (Percent) Mississippi Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7

  10. Missouri Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,015 1,014 1,014 1,013 1,014 1,013 1,017 1,015 1,016 1,019 1,013 1,014 2014 1,013 1,013 1,014 1,014 1,011 1,016 1,016 1,018 1,017 1,018 1,017 1,017 2015 1,017 1,020 1,025 1,026 1,024 1,026 1,026 1,026 1,026 1,025 1,024 1,023 2016 1,024

    % of Total Residential Deliveries (Percent) Missouri Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's

  11. Montana Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,044 1,040 1,032 1,034 1,034 1,044 1,048 1,043 1,047 1,041 1,032 1,031 2014 1,034 1,030 1,030 1,027 1,032 1,030 1,038 1,036 1,040 1,031 1,026 1,030 2015 1,028 1,029 1,028 1,021 1,019 1,030 1,031 1,033 1,032 1,032 1,034 1,034 2016 1,033 1,030

    % of Total Residential Deliveries (Percent) Montana Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  12. Nebraska Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,030 1,031 1,032 1,033 1,036 1,035 1,029 1,032 1,038 1,040 1,041 1,036 2014 1,034 1,034 1,037 1,043 1,043 1,047 1,051 1,052 1,050 1,053 1,049 1,052 2015 1,052 1,054 1,053 1,057 1,061 1,063 1,068 1,071 1,068 1,060 1,055 1,053 2016 1,054 1,054

    % of Total Residential Deliveries (Percent) Nebraska Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  13. Nevada Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,037 1,039 1,037 1,034 1,031 1,032 1,031 1,033 1,039 1,032 1,029 1,034 2014 1,033 1,033 1,032 1,034 1,032 1,033 1,033 1,035 1,033 1,036 1,036 1,037 2015 1,040 1,040 1,041 1,043 1,043 1,045 1,044 1,043 1,044 1,043 1,043 1,042 2016 1,043 1,042

    % of Total Residential Deliveries (Percent) Nevada Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  14. New Hampshire Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,033 1,029 1,028 1,029 1,030 1,030 1,027 1,028 1,031 1,033 1,030 1,030 2014 1,037 1,033 1,031 1,031 1,032 1,038 1,033 1,030 1,027 1,028 1,028 1,030 2015 1,037 1,041 1,033 1,029 1,028 1,028 1,027 1,028 1,028 1,029 1,029 1,030 2016 1,035 1,039

    % of Total Residential Deliveries (Percent) New Hampshire Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7

  15. New Jersey Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,043 1,043 1,043 1,042 1,043 1,046 1,044 1,042 1,045 1,047 1,048 1,050 2014 1,050 1,047 1,045 1,040 1,035 1,037 1,040 1,038 1,039 1,039 1,044 1,045 2015 1,050 1,050 1,050 1,043 1,043 1,043 1,043 1,042 1,041 1,041 1,044 1,044 2016 1,044 1,043

    % of Total Residential Deliveries (Percent) New Jersey Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8

  16. New York Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,032 1,031 1,031 1,031 1,034 1,035 1,034 1,033 1,034 1,034 1,033 1,032 2014 1,032 1,031 1,032 1,031 1,031 1,031 1,031 1,031 1,031 1,032 1,032 1,033 2015 1,034 1,035 1,034 1,034 1,032 1,032 1,031 1,031 1,032 1,032 1,032 1,033 2016 1,033 1,034

    % of Total Residential Deliveries (Percent) New York Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  17. North Carolina Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,013 1,014 1,014 1,012 1,010 1,010 1,010 1,011 1,012 1,012 1,015 1,014 2014 1,016 1,018 1,017 1,015 1,016 1,014 1,017 1,024 1,022 1,025 1,028 1,029 2015 1,030 1,028 1,030 1,035 1,035 1,033 1,038 1,037 1,038 1,040 1,033 1,034 2016 1,034

    % of Total Residential Deliveries (Percent) North Carolina Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8

  18. North Dakota Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,082 1,093 1,096 1,091 1,068 1,131 1,140 1,077 1,013 1,099 1,112 1,089 2014 1,087 1,084 1,074 1,077 1,083 1,079 1,078 1,106 1,123 1,100 1,105 1,096 2015 1,036 1,078 1,072 1,084 1,084 1,089 1,117 1,095 1,078 1,093 1,097 1,112 2016 1,095 1,095

    % of Total Residential Deliveries (Percent) North Dakota Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7

  19. Ohio Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,034 1,033 1,033 1,035 1,035 1,038 1,037 1,044 1,045 1,044 1,043 1,044 2014 1,044 1,042 1,041 1,050 1,047 1,048 1,053 1,052 1,052 1,054 1,057 1,060 2015 1,065 1,062 1,062 1,073 1,072 1,068 1,069 1,068 1,071 1,071 1,077 1,077 2016 1,073 1,072

    % of Total Residential Deliveries (Percent) Ohio Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  20. Oklahoma Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,040 1,037 1,038 1,039 1,041 1,043 1,044 1,042 1,042 1,044 1,043 1,042 2014 1,036 1,036 1,039 1,037 1,040 1,043 1,042 1,042 1,044 1,043 1,041 1,041 2015 1,042 1,043 1,044 1,045 1,048 1,049 1,050 1,047 1,049 1,049 1,047 1,050 2016 1,049

    % of Total Residential Deliveries (Percent) Oklahoma Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's

  1. Oregon Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,011 1,010 1,012 1,011 1,017 1,020 1,020 1,023 1,021 1,014 1,013 1,013 2014 1,013 1,012 1,010 1,034 1,041 1,044 1,029 1,035 1,033 1,029 1,028 1,028 2015 1,031 1,031 1,032 1,035 1,039 1,042 1,039 1,039 1,038 1,036 1,035 1,036 2016 1,033 1,034

    % of Total Residential Deliveries (Percent) Oregon Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  2. Pennsylvania Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,047 1,046 1,047 1,047 1,047 1,048 1,051 1,048 1,049 1,049 1,054 1,053 2014 1,052 1,050 1,048 1,046 1,044 1,044 1,046 1,046 1,045 1,044 1,049 1,052 2015 1,053 1,054 1,049 1,049 1,050 1,046 1,044 1,044 1,044 1,045 1,046 1,046 2016 1,048 1,045

    % of Total Residential Deliveries (Percent) Pennsylvania Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7

  3. Rhode Island Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,030 1,030 1,030 1,032 1,034 1,031 1,032 1,032 1,033 1,034 1,031 1,031 2014 1,031 1,032 1,031 1,030 1,028 1,023 1,029 1,029 1,027 1,030 1,029 1,029 2015 1,029 1,029 1,029 1,029 1,028 1,028 1,028 1,028 1,028 1,028 1,028 1,028 2016 1,032 1,027

    % of Total Residential Deliveries (Percent) Rhode Island Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7

  4. South Carolina Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,021 1,020 1,021 1,019 1,019 1,017 1,019 1,020 1,020 1,020 1,020 1,020 2014 1,022 1,021 1,022 1,022 1,022 1,023 1,022 1,024 1,028 1,027 1,028 1,029 2015 1,030 1,028 1,028 1,029 1,030 1,030 1,031 1,029 1,031 1,031 1,030 1,030 2016 1,031 1,031

    % of Total Residential Deliveries (Percent) South Carolina Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7

  5. South Dakota Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,028 1,030 1,029 1,028 1,028 1,029 1,031 1,030 1,029 1,031 1,030 1,034 2014 1,034 1,034 1,035 1,036 1,039 1,041 1,039 1,045 1,045 1,049 1,048 1,048 2015 1,048 1,048 1,047 1,051 1,054 1,059 1,062 1,060 1,056 1,053 1,053 1,058 2016 1,060 1,058

    % of Total Residential Deliveries (Percent) South Dakota Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7

  6. Tennessee Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,013 1,012 1,016 1,019 1,018 1,021 1,023 1,028 1,028 1,025 1,024 1,022 2014 1,020 1,020 1,021 1,027 1,032 1,031 1,032 1,020 1,024 1,027 1,029 1,028 2015 1,028 1,029 1,029 1,027 1,025 1,025 1,027 1,023 1,025 1,032 1,031 1,034 2016 1,035 1,035

    % of Total Residential Deliveries (Percent) Tennessee Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8

  7. Texas Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,023 1,024 1,024 1,025 1,027 1,026 1,024 1,025 1,024 1,025 1,024 1,025 2014 1,027 1,022 1,028 1,026 1,029 1,032 1,033 1,036 1,033 1,033 1,031 1,030 2015 1,026 1,028 1,029 1,034 1,036 1,036 1,036 1,035 1,036 1,036 1,033 1,030 2016 1,029 1,028

    % of Total Residential Deliveries (Percent) Texas Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  8. Utah Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,050 1,050 1,049 1,047 1,048 1,048 1,046 1,041 1,044 1,043 1,045 1,044 2014 1,044 1,044 1,045 1,044 1,038 1,036 1,038 1,040 1,040 1,041 1,038 1,037 2015 1,039 1,046 1,047 1,049 1,043 1,043 1,043 1,043 1,042 1,044 1,044 1,046 2016 1,046 1,043

    % of Total Residential Deliveries (Percent) Utah Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  9. Vermont Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,013 1,014 1,016 1,016 1,021 1,016 1,015 1,011 1,012 1,014 1,015 1,014 2014 1,013 1,009 1,015 1,014 1,026 1,031 1,011 1,018 1,015 1,015 1,019 1,021 2015 1,026 1,035 1,027 1,024 1,021 1,021 1,022 1,019 1,020 1,030 1,027 1,027 2016 1,029 1,032

    % of Total Residential Deliveries (Percent) Vermont Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  10. West Virginia Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,071 1,071 1,070 1,083 1,088 1,099 1,099 1,119 1,082 1,097 1,086 1,079 2014 1,073 1,073 1,065 1,111 1,094 1,095 1,099 1,106 1,119 1,082 1,077 1,094 2015 1,097 1,084 1,069 1,103 1,107 1,096 1,099 1,099 1,102 1,090 1,114 1,090 2016 1,092 1,09

    % of Total Residential Deliveries (Percent) West Virginia Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7

  11. Wisconsin Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,028 1,026 1,025 1,030 1,027 1,026 1,026 1,023 1,026 1,027 1,027 1,027 2014 1,031 1,033 1,035 1,032 1,033 1,032 1,029 1,034 1,034 1,034 1,035 1,038 2015 1,042 1,044 1,040 1,039 1,038 1,040 1,036 1,040 1,034 1,045 1,043 1,044 2016 1,045 1,046

    % of Total Residential Deliveries (Percent) Wisconsin Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8

  12. Wyoming Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,043 1,040 1,041 1,042 1,043 1,045 1,040 1,040 1,041 1,038 1,035 1,030 2014 1,034 1,032 1,030 1,031 1,029 1,026 1,025 1,031 1,031 1,030 1,033 1,036 2015 1,043 1,041 1,042 1,043 1,045 1,045 1,042 1,044 1,041 1,040 1,046 1,054 2016 1,056 1,052

    % of Total Residential Deliveries (Percent) Wyoming Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  13. Federal Government Increases Renewable Energy Use Over 1000 Percent...

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

    hours (GWh) of renewable energy -- enough to power 225,000 homes or a city the size of El Paso, Texas, for a year. "Particularly in light of tight oil and gas supplies caused by ...

  14. Determinants of Household Use of Selected Energy Star Appliances - Energy

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

    Information Administration Determinants of Household Use of Selected Energy Star Appliances Release date: May 25, 2016 Introduction According to the 2009 Residential Energy Consumption Survey (RECS), household appliances1accounted for 35% of U.S. household energy consumption, up from 24% in 1993. Thus, improvements in the energy performance of residential appliances as well as increases in the use of more efficient appliances can be effective in reducing household energy consumption and

  15. Strategies for Collecting Household Energy Data | Department of Energy

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

    Collecting Household Energy Data Strategies for Collecting Household Energy Data Better Buildings Neighborhood Program Data and Evaluation Peer Exchange Call: Strategies for Collecting Household Energy Data, Call Slides and Discussion Summary, July 19, 2012. PDF icon Call Slides and Discussion Summary More Documents & Publications Homeowner and Contractor Surveys Mastermind: Jim Mikel, Spirit Foundation Generating Energy Efficiency Project Leads and Allocating Leads to Contractors

  16. Table B28. Percent of Floorspace Heated, Number of Buildings and Floorspace, 199

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

    8. Percent of Floorspace Heated, Number of Buildings and Floorspace, 1999" ,"Number of Buildings (thousand)",,,,,"Total Floorspace (million square feet)" ,"All Buildings","Not Heated","1 to 50 Percent Heated","51 to 99 Percent Heated","100 Percent Heated","All Buildings","Not Heated","1 to 50 Percent Heated","51 to 99 Percent Heated","100 Percent Heated" "All

  17. Table B29. Percent of Floorspace Cooled, Number of Buildings and Floorspace, 199

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

    9. Percent of Floorspace Cooled, Number of Buildings and Floorspace, 1999" ,"Number of Buildings (thousand)",,,,,"Total Floorspace (million square feet)" ,"All Buildings","Not Cooled","1 to 50 Percent Cooled","51 to 99 Percent Cooled","100 Percent Cooled","All Buildings","Not Cooled","1 to 50 Percent Cooled","51 to 99 Percent Cooled","100 Percent Cooled" "All

  18. Table B30. Percent of Floorspace Lit When Open, Number of Buildings and Floorspa

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

    0. Percent of Floorspace Lit When Open, Number of Buildings and Floorspace, 1999" ,"Number of Buildings (thousand)",,,,,"Total Floorspace (million square feet)" ,"All Buildings","Not Lita","1 to 50 Percent Lit","51 to 99 Percent Lit","100 Percent Lit","All Buildings","Not Lita","1 to 50 Percent Lit","51 to 99 Percent Lit","100 Percent Lit" "All Buildings

  19. 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.

  20. 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.

  1. Percent of Commercial Natural Gas Deliveries in California Represented by

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

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 94.6 95.1 93.0 88.3 94.8 92.8 89.4 87.8 91.0 88.5 90.1 92.2 1990 95.8 81.1 94.4 90.4 90.2 85.6 78.0 82.6 79.1 82.3 85.6 88.3 1991 90.5 88.4 90.2 71.0 82.2 71.0 68.0 85.8 68.0 64.7 69.8 80.3 1992 86.6 65.6 75.7 79.0 63.5 74.5 60.9 64.6 79.7 79.0 76.7 81.4 1993 79.9 82.3 77.6 80.7 76.8 71.4 76.4 70.3 70.6 73.8 75.7 78.8 1994 51.3 47.2 50.6 40.5 47.4 32.2 36.4 46.5 46.0 52.2 57.8 68.2 1995 61.3 58.6 64.7 56.8 50.3

  2. Percent of Commercial Natural Gas Deliveries in Connecticut Represented by

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

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 98.4 90.0 81.6 76.5 74.5 80.4 74.8 85.5 90.8 99.5 1990 100.0 100.0 98.7 95.9 92.3 89.9 87.5 86.9 87.2 91.3 98.3 99.1 1991 99.4 99.4 97.5 92.5 85.9 79.2 76.2 77.1 77.9 85.9 93.0 96.6 1992 97.7 97.2 95.6 94.4 93.6 87.2 95.8 98.8 98.7 97.8 98.2 98.4 1993 97.2 97.7 97.2 98.1 99.4 99.3 88.3 98.4 99.6 100.0 100.0 100.0 1994 89.2 90.7 88.4 88.8 74.2 67.8 62.4 61.1 57.4 68.8 77.9 83.4 1995 86.7 88.1 85.7 81.6

  3. Percent of Commercial Natural Gas Deliveries in District of Columbia

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

    Represented by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1991 100.0 100.0 100.0 100.0 100.0 92.4 86.7 89.4 90.6 91.1 95.7 99.5 1992 99.6 100.0 100.0 97.4 97.6 100.0 91.4 99.5 99.0 100.0 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 99.8 96.8 88.4 90.1 92.6 95.9 97.1 1994 99.8 99.8 100.0 98.8 95.7 94.4 76.6

  4. Percent of Commercial Natural Gas Deliveries in Louisiana Represented by

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

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1991 100.0 100.0 100.0 100.0 100.0 98.5 98.6 98.4 98.5 98.4 97.4 97.6 1992 82.3 87.7 88.7 90.6 90.5 90.1 90.6 90.2 91.1 90.6 81.4 86.4 1993 97.4 97.9 98.1 98.6 98.9 98.9 98.8 98.8 98.8 98.2 97.1 97.5 1994 97.7 98.1 98.1 98.0 98.0 97.9 98.4 97.6 98.1 97.9 97.9 97.5 1995 97.8 98.2

  5. Percent of Commercial Natural Gas Deliveries in Massachusetts Represented

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

    by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 99.8 99.8 99.8 99.7 99.7 1991 99.8 99.8 99.9 99.9 99.9 99.8 99.7 99.6 99.6 99.8 99.9 99.9 1992 99.9 99.9 99.8 99.8 99.7 99.8 99.7 99.6 99.6 99.6 99.7 99.8 1993 98.9 98.7 98.5 97.7 96.5 97.7 96.8 89.2 97.5 96.7 96.9 97.8 1994 75.2 78.4 72.5 69.8 69.8 61.2 67.0 86.0 79.7 90.6 81.2 87.1 1995 87.9 89.4 92.0

  6. Percent of Commercial Natural Gas Deliveries in Mississippi Represented by

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

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1990 97.6 96.0 95.7 95.6 94.5 94.3 93.7 93.5 93.9 94.4 95.2 95.8 1991 96.6 97.0 96.3 95.9 94.5 94.9 94.3 94.6 95.1 94.9 95.5 96.4 1992 96.9 97.3 96.4 96.6 95.2 95.4 95.5 94.8 95.6 95.6 95.9 97.4 1993 97.3 97.3 97.2 97.1 96.1 96.0 96.0 95.7 95.5 95.4 96.1 96.5 1994 97.2 97.6 97.1 96.9 96.1 96.9 97.1 95.1 94.9 94.3 96.2 96.6 1995 96.4 97.4 98.2

  7. Percent of Commercial Natural Gas Deliveries in New Hampshire Represented

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

    by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1991 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1992 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1994 100.0 100.0 100.0 100.0 100.0

  8. Percent of Commercial Natural Gas Deliveries in North Carolina Represented

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

    by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 98.7 98.9 94.9 92.4 89.6 87.7 80.1 84.2 84.4 86.3 97.1 98.1 1990 98.6 98.3 98.0 97.0 89.1 86.3 85.3 85.0 84.7 84.0 98.7 99.1 1991 99.3 99.3 99.0 89.0 87.3 86.1 84.4 86.3 85.0 98.0 99.0 99.3 1992 99.3 99.2 99.2 93.1 88.3 85.8 84.3 86.2 89.2 99.9 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 95.4 95.4 95.2 99.7 89.7 96.1 100.0 1994 100.0 100.0 100.0 95.3 94.0 92.1 91.8 90.4 88.3 88.0 94.1 99.4 1995 95.7 96.0 94.5

  9. Percent of Commercial Natural Gas Deliveries in Pennsylvania Represented by

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

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 89.4 88.9 88.7 87.4 81.7 76.8 79.6 77.2 76.4 80.3 82.9 85.3 1990 85.9 83.6 80.9 80.0 74.0 70.2 68.5 68.3 67.2 69.6 74.9 79.2 1991 82.2 79.4 78.8 77.7 72.1 72.9 70.6 71.6 72.2 72.9 76.4 76.7 1992 77.1 79.6 76.6 75.1 71.8 73.1 68.1 67.2 69.4 74.0 74.1 79.4 1993 80.5 79.7 79.5 78.2 72.1 72.9 72.9 69.7 70.3 76.5 75.9 77.0 1994 79.0 80.2 77.5 73.9 71.6 70.8 67.1 71.4 67.9 62.7 68.7 72.1 1995 75.1 74.4 74.9 71.4 68.7

  10. Percent of Commercial Natural Gas Deliveries in South Carolina Represented

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

    by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 98.5 98.5 98.6 98.3 98.1 98.2 98.1 97.7 97.7 97.8 98.0 97.3 1990 98.6 98.4 98.3 98.1 92.2 97.6 97.6 97.5 97.9 97.3 98.0 98.6 1991 98.7 98.9 98.7 96.9 97.4 97.5 97.3 97.7 97.7 97.4 98.9 98.9 1992 99.1 99.1 98.9 98.6 98.5 95.8 95.5 95.8 97.0 99.7 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 100.0 95.1 94.6 100.0 95.3 100.0 100.0 1994 100.0 100.0 100.0 99.7 97.8 98.3 97.0 95.7 95.2 95.6 96.2 99.9 1995 97.8 97.5

  11. Percent of Commercial Natural Gas Deliveries in Tennessee Represented by

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

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 99.1 98.9 98.9 97.5 96.8 95.9 96.7 95.8 96.9 97.1 97.4 99.1 1990 98.9 98.5 98.7 97.9 95.4 95.4 95.1 95.9 95.1 95.5 96.5 97.5 1991 97.9 94.6 93.6 96.0 94.8 94.3 93.8 93.8 94.0 95.3 97.1 97.8 1992 96.6 97.1 96.8 97.2 93.7 95.8 97.3 90.4 91.6 97.3 97.5 97.4 1993 96.6 96.9 96.6 96.5 97.7 91.3 91.6 91.1 91.4 92.3 94.7 98.9 1994 96.7 98.5 97.9 93.0 90.0 89.4 87.2 87.1 89.3 88.4 91.7 94.4 1995 95.5 95.8 93.4 90.8 89.6

  12. Percent of Commercial Natural Gas Deliveries in Washington Represented by

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

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 95.5 94.8 96.9 93.2 93.0 89.7 87.0 92.6 87.3 93.0 93.6 96.5 1990 96.2 95.9 93.2 92.1 90.9 88.9 88.3 88.4 90.1 91.7 95.7 96.5 1991 97.8 94.9 94.3 93.2 91.2 90.5 88.3 87.2 85.6 85.2 88.7 92.1 1992 92.1 89.0 88.7 85.5 83.5 80.7 78.5 80.3 81.6 83.4 86.8 92.3 1993 93.8 93.2 93.9 93.6 90.8 89.8 90.5 90.4 90.6 94.8 97.4 98.0 1994 97.6 97.6 97.6 97.4 92.1 92.1 92.4 91.7 94.4 93.8 94.1 94.7 1995 94.3 94.0 94.2 92.6 91.8

  13. Percent of Commercial Natural Gas Deliveries in Wisconsin Represented by

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

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 94.1 94.2 94.5 94.0 92.6 87.7 86.1 84.2 84.2 84.3 91.1 95.0 1990 91.6 91.5 91.9 91.9 90.3 86.5 83.1 82.4 82.6 87.5 90.1 93.3 1991 93.8 92.3 92.9 91.2 88.8 83.8 80.7 84.7 83.6 86.7 91.5 92.1 1992 92.7 92.1 91.6 90.0 85.8 82.3 83.3 84.1 85.2 90.7 93.4 95.1 1993 95.2 96.0 95.3 93.5 92.1 90.8 89.2 88.5 90.0 92.6 95.2 96.0 1994 97.1 97.6 97.4 96.6 91.8 89.9 83.5 87.1 87.8 90.8 94.4 84.4 1995 93.5 94.0 93.2 92.4 90.0

  14. Percent of Industrial Natural Gas Deliveries in Connecticut Represented by

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

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 66.1 48.5 50.9 50.2 58.7 44.3 34.1 58.5 55.7 73.8 58.9 51.8 2002 45.0 47.4 53.0 41.3 52.5 50.1 38.1 49.3 53.9 52.2 49.1 54.2 2003 45.5 42.0 48.4 45.5 43.4 42.2 40.0 38.9 41.2 44.0 55.4 54.2 2004 41.0 40.9 39.5 45.6 43.7 45.0 47.5 44.3 43.7 47.4 46.5 46.2 2005 51.3 45.1 46.1 48.5 45.8 42.9 43.2 42.6 48.1 48.4 49.1 44.9 2006 49.2 48.5 45.1 47.1 50.0 49.0 51.8 49.9 50.5 52.2 42.5 47.8 2007 50.6 50.0 47.4 49.5 51.1

  15. Percent of Industrial Natural Gas Deliveries in Mississippi Represented by

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

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 28.2 32.5 24.3 32.8 25.6 33.3 27.5 30.2 28.5 21.2 31.3 31.1 2002 27.5 29.8 27.4 27.0 23.9 26.2 24.1 25.8 24.2 23.9 26.3 25.2 2003 32.3 39.3 37.3 34.5 31.8 37.2 34.6 32.3 32.7 28.6 27.0 35.7 2004 39.9 36.9 33.0 32.8 29.8 33.8 32.8 33.7 36.7 31.0 33.7 38.8 2005 26.7 24.2 23.6 24.4 23.7 22.1 23.2 22.8 42.3 24.8 28.8 23.7 2006 24.7 28.1 24.8 23.5 19.5 19.2 18.1 17.2 16.6 17.5 15.6 18.0 2007 18.4 19.6 17.4 15.6 13.4

  16. Percent of Industrial Natural Gas Deliveries in Tennessee Represented by

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

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 48.0 40.7 40.0 33.7 32.1 29.6 33.1 33.6 35.5 29.3 37.7 38.4 2002 36.3 39.0 44.3 34.8 36.6 33.0 32.5 31.8 33.8 35.5 33.9 38.2 2003 36.7 41.2 40.2 37.2 35.5 33.9 38.7 40.5 42.6 44.0 42.1 46.8 2004 44.2 43.4 42.1 40.5 41.0 36.5 36.4 34.6 37.0 38.3 41.5 47.1 2005 39.9 40.5 44.7 47.3 42.5 39.5 39.5 43.3 42.8 41.5 39.7 46.7 2006 40.9 44.6 40.1 37.3 37.4 39.1 35.5 35.5 34.9 38.2 41.6 39.2 2007 38.8 44.2 40.4 35.4 37.8

  17. Percent of Industrial Natural Gas Deliveries in Washington Represented by

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

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 40.1 37.3 39.3 33.9 31.2 31.0 27.1 35.1 34.9 46.1 46.5 46.1 2002 25.9 28.6 29.4 32.8 30.0 24.4 27.5 20.7 24.7 25.4 31.6 26.9 2003 26.3 26.9 25.5 19.5 18.5 15.1 13.6 15.3 17.5 18.9 18.7 22.2 2004 20.9 21.0 21.4 19.1 15.8 16.0 13.2 17.1 15.0 16.2 14.5 15.6 2005 15.1 14.4 15.2 12.9 11.7 11.7 11.0 15.0 15.5 18.8 20.6 25.3 2006 22.9 22.8 22.6 19.7 19.5 17.8 17.2 16.8 17.1 19.2 21.8 22.3 2007 23.5 22.4 23.2 18.7 16.9

  18. Percent of Industrial Natural Gas Deliveries in Wisconsin Represented by

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

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 25.3 26.6 26.1 18.3 12.5 11.2 12.3 12.4 10.9 15.9 19.9 23.0 2002 25.3 23.6 25.8 21.2 18.5 14.3 11.1 13.3 14.7 20.9 24.7 28.9 2003 27.0 27.3 25.9 18.8 15.3 11.7 10.7 11.7 12.2 17.7 21.3 26.2 2004 26.4 24.1 23.9 19.3 13.5 14.1 12.9 10.4 12.4 17.6 19.6 18.6 2005 21.7 20.9 20.8 15.9 13.4 11.2 12.3 13.2 13.9 16.4 21.9 25.1 2006 21.6 21.7 23.0 13.3 14.1 13.5 11.1 12.3 13.3 18.2 22.8 24.2 2007 22.3 23.7 24.1 17.8 13.6

  19. The evolving price of household LED lamps: Recent trends and historical comparisons for the US market

    SciTech Connect (OSTI)

    Gerke, Brian F.; Ngo, Allison T.; Alstone, Andrea L.; Fisseha, Kibret S.

    2014-10-14

    In recent years, household LED light bulbs (LED A lamps) have undergone a dramatic price decline. Since late 2011, we have been collecting data, on a weekly basis, for retail offerings of LED A lamps on the Internet. The resulting data set allows us to track the recent price decline in detail. LED A lamp prices declined roughly exponentially with time in 2011-2014, with decline rates of 28percent to 44percent per year depending on lumen output, and with higher-lumen lamps exhibiting more rapid price declines. By combining the Internet price data with publicly available lamp shipments indices for the US market, it is also possible to correlate LED A lamp prices against cumulative production, yielding an experience curve for LED A lamps. In 2012-2013, LED A lamp prices declined by 20-25percent for each doubling in cumulative shipments. Similar analysis of historical data for other lighting technologies reveals that LED prices have fallen significantly more rapidly with cumulative production than did their technological predecessors, which exhibited a historical decline of 14-15percent per doubling of production.

  20. Household and environmental characteristics related to household energy-consumption change: A human ecological approach

    SciTech Connect (OSTI)

    Guerin, D.A.

    1988-01-01

    This study focused on the family household as an organism and on its interaction with the three environments of the human ecosystem (natural, behavioral, and constructed) as these influence energy consumption and energy-consumption change. A secondary statistical analysis of data from the US Department of Energy Residential Energy Consumption Surveys (RECS) was completed. The 1980 and 1983 RECS were used as the data base. Longitudinal data, including household, environmental, and energy-consumption measures, were available for over 800 households. The households were selected from a national sample of owner-occupied housing units surveyed in both years. Results showed a significant( p = <.05) relationship between the dependent-variable energy-consumption change and the predictor variables heating degree days, addition of insulation, addition of a wood-burning stove, year the housing unit was built, and weighted number of appliances. A significant (p = <.05) relationship was found between the criterion variable energy-consumption change and the discriminating variables of age of the head of the household, cooling degree days, heating degree days, year the housing unit was built, and number of stories in the housing unit.

  1. Percent of Commercial Natural Gas Deliveries in West Virginia Represented

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

    by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 68.6 69.0 65.3 63.9 55.0 45.3 39.8 39.5 40.5 49.5 58.6 71.5 1990 72.4 67.8 64.6 60.4 53.8 41.6 34.0 37.7 34.7 38.3 56.1 61.2 1991 64.6 65.8 65.4 54.5 42.1 34.1 31.0 33.9 36.5 45.2 55.6 58.0 1992 65.0 65.9 59.9 63.0 54.5 39.3 35.8 33.6 33.4 48.1 56.8 58.9 1993 60.7 61.3 61.7 60.2 47.5 33.6 30.3 30.6 33.0 46.8 54.9 60.1 1994 67.4 65.2 61.9 58.3 47.8 39.6 29.5 34.3 34.2 41.3 47.5 55.7 1995 55.5 59.5 56.1 50.6 42.2

  2. Percent of Industrial Natural Gas Deliveries in Louisiana Represented by

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

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 8.2 7.6 6.3 8.0 7.2 5.9 9.1 9.6 9.0 8.6 10.0 9.1 2002 13.4 13.3 13.0 13.6 14.3 13.5 12.2 13.1 12.9 12.7 13.4 14.8 2003 12.0 13.2 12.0 13.5 13.7 13.7 11.8 12.8 13.4 14.1 16.3 14.3 2004 14.5 15.7 16.4 22.9 22.7 23.7 23.3 22.9 22.8 23.3 25.2 26.0 2005 26.3 25.9 27.3 27.8 28.6 28.2 27.2 28.9 29.0 28.8 28.8 29.0 2006 29.4 28.6 29.2 26.8 28.8 28.3 28.0 29.5 26.3 25.7 28.6 31.5 2007 29.7 31.7 27.3 28.8 29.9 33.6 23.9 23.8

  3. Percent of Industrial Natural Gas Deliveries in Massachusetts Represented

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

    by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 36.9 37.4 48.4 27.7 23.2 18.9 14.1 10.3 18.5 18.6 29.5 21.8 2002 27.5 26.6 23.0 21.7 16.9 14.0 16.5 11.1 9.4 14.8 21.7 28.6 2003 40.7 44.0 44.6 41.6 37.9 36.3 38.9 42.3 35.8 78.7 23.9 36.9 2004 47.9 47.2 45.8 39.9 36.5 34.4 31.3 27.0 23.1 29.2 23.2 40.5 2005 40.9 43.4 42.6 37.2 32.0 29.0 26.8 22.1 22.3 26.9 33.6 40.9 2006 42.4 41.0 40.2 36.9 31.5 28.6 25.2 26.5 26.5 23.7 32.2 31.2 2007 34.8 36.0 37.0 30.2 29.7

  4. Percent of Industrial Natural Gas Deliveries in North Carolina Represented

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

    by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 43.8 39.0 34.6 41.8 30.0 28.6 27.2 30.1 21.4 17.7 27.3 30.7 2002 31.5 26.5 28.6 41.0 46.4 45.1 46.2 38.8 46.3 45.1 40.1 38.9 2003 43.9 46.9 48.3 29.8 35.3 34.9 37.5 37.1 35.9 35.9 25.0 28.2 2004 39.9 33.5 26.0 26.6 24.1 36.5 32.4 18.7 25.1 22.5 34.8 27.0 2005 20.8 31.7 23.3 19.2 22.7 20.3 20.8 16.6 38.0 49.2 24.8 30.5 2006 29.4 24.1 25.2 20.4 18.6 17.2 17.3 18.1 16.4 16.9 22.0 22.6 2007 22.2 23.1 25.1 24.0 24.1

  5. Percent of Industrial Natural Gas Deliveries in Pennsylvania Represented by

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

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 17.0 16.4 11.3 10.2 7.7 5.1 7.3 7.5 8.2 8.8 7.3 8.4 2002 8.8 8.3 7.0 5.9 5.7 5.5 4.8 5.0 7.2 7.5 8.1 11.4 2003 8.5 8.5 8.8 7.3 5.7 5.4 5.2 5.0 5.2 5.5 5.9 6.5 2004 7.7 8.1 7.3 6.8 5.3 4.8 4.8 5.1 5.2 4.7 6.5 8.3 2005 8.8 8.4 8.2 7.0 6.1 5.5 5.9 7.1 5.2 5.2 6.7 8.2 2006 8.2 7.3 7.1 5.3 4.8 4.2 4.1 4.1 6.2 4.2 4.6 5.4 2007 6.7 8.5 8.3 5.9 5.6 3.7 3.3 3.2 4.1 3.1 4.5 6.6 2008 7.7 7.3 7.3 6.9 5.7 4.8 4.4 4.3 3.8 3.9

  6. Percent of Industrial Natural Gas Deliveries in South Carolina Represented

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

    by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 91.8 86.4 82.7 82.0 77.6 80.8 80.2 80.2 80.3 79.8 82.4 84.4 2002 89.9 87.6 85.4 88.3 90.4 87.4 90.5 84.4 90.3 90.3 84.3 82.9 2003 79.4 79.6 75.8 79.3 81.8 81.7 78.9 77.3 78.4 77.0 76.5 75.9 2004 76.9 75.6 77.0 79.2 79.0 78.2 78.5 79.0 78.6 78.3 77.2 76.4 2005 78.2 78.8 78.0 77.4 78.1 78.2 78.8 78.7 73.2 76.4 67.9 81.3 2006 80.1 78.6 74.0 80.2 71.2 75.3 75.9 77.2 70.6 74.8 48.6 44.6 2007 48.9 48.4 47.5 46.1 47.5

  7. Percent of Industrial Natural Gas Deliveries in West Virginia Represented

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

    by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 11.2 6.1 6.1 8.6 8.2 7.3 7.7 8.9 5.9 60.8 7.0 62.1 2002 12.1 12.6 11.7 15.0 12.6 12.1 14.7 13.0 16.1 10.7 13.1 10.4 2003 14.3 12.6 20.3 13.9 14.0 14.7 13.6 13.5 14.6 12.9 14.1 10.9 2004 10.7 10.5 11.4 11.5 19.8 15.0 15.7 15.3 14.3 14.8 14.7 12.8 2005 11.4 12.8 12.5 13.7 17.4 21.1 23.5 20.4 22.1 23.0 20.7 18.5 2006 16.3 14.8 17.3 18.6 16.9 20.3 15.7 16.4 19.0 16.7 16.4 16.7 2007 15.2 13.4 15.9 16.3 17.8 18.5 18.5

  8. Fact #720: March 26, 2012 Eleven Percent of New Light Trucks...

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

    0: March 26, 2012 Eleven Percent of New Light Trucks Sold have Gasoline Direct Injection Fact 720: March 26, 2012 Eleven Percent of New Light Trucks Sold have Gasoline Direct Injection ...

  9. 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.

  10. Delivering Energy Efficiency to Middle Income Single Family Households

    SciTech Connect (OSTI)

    none,

    2011-12-01

    Provides state and local policymakers with information on successful approaches to the design and implementation of residential efficiency programs for households ineligible for low-income programs.

  11. Barriers to household investment in residential energy conservation: preliminary assessment

    SciTech Connect (OSTI)

    Hoffman, W.L.

    1982-12-01

    A general assessment of the range of barriers which impede household investments in weatherization and other energy efficiency improvements for their homes is provided. The relationship of similar factors to households' interest in receiving a free energy audits examined. Rates of return that underly household investments in major conservation improvements are assessed. A special analysis of household knowledge of economically attractive investments is provided that compares high payback improvements specified by the energy audit with the list of needed or desirable conservation improvements identified by respondents. (LEW)

  12. 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.

  13. Loan Programs for Low- and Moderate-Income Households

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Network Multifamily and Low-Income Housing Peer Exchange Call Series: Loan Programs for Low- and Moderate-Income Households, March 13, 2014.

  14. Near Zero Emissions at 50 Percent Thermal Efficiency

    SciTech Connect (OSTI)

    2012-12-31

    Detroit Diesel Corporation (DDC) has successfully completed a 10 year DOE sponsored heavy-duty truck engine program, hereafter referred to as the NZ-50 program. This program was split into two major phases. The first phase was called “Near-Zero Emission at 50 Percent Thermal Efficiency,” and was completed in 2007. The second phase was initiated in 2006, and this phase was named “Advancements in Engine Combustion Systems to Enable High-Efficiency Clean Combustion for Heavy-Duty Engines.” This phase was completed in September, 2010. The key objectives of the NZ-50 program for this first phase were to: • Quantify thermal efficiency degradation associated with reduction of engine-out NOx emissions to the 2007 regulated level of ~1.1 g/hp-hr. • Implement an integrated analytical/experimental development plan for improving subsystem and component capabilities in support of emerging engine technologies for emissions and thermal efficiency goals of the program. • Test prototype subsystem hardware featuring technology enhancements and demonstrate effective application on a multi-cylinder, production feasible heavy-duty engine test-bed. • Optimize subsystem components and engine controls (calibration) to demonstrate thermal efficiency that is in compliance with the DOE 2005 Joule milestone, meaning greater than 45% thermal efficiency at 2007 emission levels. • Develop technology roadmap for meeting emission regulations of 2010 and beyond while mitigating the associated degradation in engine fuel consumption. Ultimately, develop technical prime-path for meeting the overall goal of the NZ-50 program, i.e., 50% thermal efficiency at 2010 regulated emissions. These objectives were successfully met during the course of the NZ-50 program. The most noteworthy achievements in this program are summarized as follows: • Demonstrated technologies through advanced integrated experiments and analysis to achieve the technical objectives of the NZ-50 program with 50.2% equivalent thermal efficiency under EPA 2010 emissions regulations. • Experimentally demonstrate brake efficiency of 48.5% at EPA 2010 emission level at single steady-state point. • Analytically demonstrated additional brake efficiency benefits using advanced aftertreatment configuration concept and air system enhancement including, but not limited to, turbo-compound, variable valve actuator system, and new cylinder head redesign, thus helping to achieve the final program goals. • Experimentally demonstrated EPA 2010 emissions over FTP cycles using advanced integrated engine and aftertreatment system. These aggressive thermal efficiency and emissions results were achieved by applying a robust systems technology development methodology. It used integrated analytical and experimental tools for subsystem component optimization encompassing advanced fuel injection system, increased EGR cooling capacity, combustion process optimization, and advanced aftertreatment technologies. Model based controls employing multiple input and output techniques enabled efficient integration of the various subsystems and ensured optimal performance of each system within the total engine package. . The key objective of the NZ-50 program for the second phase was to explore advancements in engine combustion systems using high-efficiency clean combustion (HECC) techniques to minimize cylinder-out emissions, targeting a 10% efficiency improvement. The most noteworthy achievements in this phase of the program are summarized as follows: • Experimentally and analytically evaluated numerous air system improvements related to the turbocharger and variable valve actuation. Some of the items tested proved to be very successful and modifications to the turbine discovered in this program have since been incorporated into production hardware. • The combustion system development continued with evaluation of various designs of the 2-step piston bowl. Significant improvements in engine emissions have been obtained, but fuel economy improvements have been tougher to realize. • Development of a neural network control system progressed to the point that the system was fully functional and showing significant fuel economy gains in transient engine testing. • Development of the QuantLogic injector with the capability of both a hollow cone spray during early injection and conventional diesel injection at later injection timings was undertaken and proved to be problematic. This injector was designed to be a key component in a PCCI combustion system, but this innovative fuel injector required significantly more development effort than this program’s resources or timing would allow.

  15. Sizing a New Water Heater | Department of Energy

    Energy Savers [EERE]

    Heat & Cool » Water Heating » Sizing a New Water Heater Sizing a New Water Heater Is your water heater the right size for you house? | Photo credit ENERGY STAR® Is your water heater the right size for you house? | Photo credit ENERGY STAR® A properly sized water heater will meet your household's hot water needs while operating more efficiently. Therefore, before purchasing a water heater, make sure it's the correct size. Here you'll find information about how to size these systems:

  16. EECBG 11-002 Clarification of Ten Percent Limitation on Use of...

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

    Energy Efficiency and Conservation Block Grant Program (EECBG), ten percent ... Guidance For Energy Efficiency And Conservation Block Grant Grantees On Financing Programs ...

  17. Fact #618: April 12, 2010 Vehicles per Household and Other Demographic...

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

    per Household and Other Demographic Statistics Fact 618: April 12, 2010 Vehicles per Household and Other Demographic Statistics Since 1969, the number of vehicles per ...

  18. Reconstructing householder vectors from Tall-Skinny QR

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

    Ballard, Grey Malone; Demmel, James; Grigori, Laura; Jacquelin, Mathias; Knight, Nicholas; Nguyen, Hong Diep

    2015-08-05

    The Tall-Skinny QR (TSQR) algorithm is more communication efficient than the standard Householder algorithm for QR decomposition of matrices with many more rows than columns. However, TSQR produces a different representation of the orthogonal factor and therefore requires more software development to support the new representation. Further, implicitly applying the orthogonal factor to the trailing matrix in the context of factoring a square matrix is more complicated and costly than with the Householder representation. We show how to perform TSQR and then reconstruct the Householder vector representation with the same asymptotic communication efficiency and little extra computational cost. We demonstratemore » the high performance and numerical stability of this algorithm both theoretically and empirically. The new Householder reconstruction algorithm allows us to design more efficient parallel QR algorithms, with significantly lower latency cost compared to Householder QR and lower bandwidth and latency costs compared with Communication-Avoiding QR (CAQR) algorithm. Experiments on supercomputers demonstrate the benefits of the communication cost improvements: in particular, our experiments show substantial improvements over tuned library implementations for tall-and-skinny matrices. Furthermore, we also provide algorithmic improvements to the Householder QR and CAQR algorithms, and we investigate several alternatives to the Householder reconstruction algorithm that sacrifice guarantees on numerical stability in some cases in order to obtain higher performance.« less

  19. 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).

  20. 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).

  1. Reconstructing householder vectors from Tall-Skinny QR

    SciTech Connect (OSTI)

    Ballard, Grey Malone; Demmel, James; Grigori, Laura; Jacquelin, Mathias; Knight, Nicholas; Nguyen, Hong Diep

    2015-08-05

    The Tall-Skinny QR (TSQR) algorithm is more communication efficient than the standard Householder algorithm for QR decomposition of matrices with many more rows than columns. However, TSQR produces a different representation of the orthogonal factor and therefore requires more software development to support the new representation. Further, implicitly applying the orthogonal factor to the trailing matrix in the context of factoring a square matrix is more complicated and costly than with the Householder representation. We show how to perform TSQR and then reconstruct the Householder vector representation with the same asymptotic communication efficiency and little extra computational cost. We demonstrate the high performance and numerical stability of this algorithm both theoretically and empirically. The new Householder reconstruction algorithm allows us to design more efficient parallel QR algorithms, with significantly lower latency cost compared to Householder QR and lower bandwidth and latency costs compared with Communication-Avoiding QR (CAQR) algorithm. Experiments on supercomputers demonstrate the benefits of the communication cost improvements: in particular, our experiments show substantial improvements over tuned library implementations for tall-and-skinny matrices. Furthermore, we also provide algorithmic improvements to the Householder QR and CAQR algorithms, and we investigate several alternatives to the Householder reconstruction algorithm that sacrifice guarantees on numerical stability in some cases in order to obtain higher performance.

  2. Fact #614: March 15, 2010 Average Age of Household Vehicles

    Broader source: Energy.gov [DOE]

    The average age of household vehicles has increased from 6.6 years in 1977 to 9.2 years in 2009. Pickup trucks have the oldest average age in every year listed. Sport utility vehicles (SUVs), first...

  3. Household heating bills expected to be lower this winter

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

    In its new forecast, the U.S. Energy Information Administration said households that rely on heating oil which are mainly located in the Northeast will pay the lowest heating ...

  4. Determinants of Household Use of Selected Energy Star Appliances

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

    Determinants of Household Use of Selected Energy Star Appliances May 2016 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Determinants of Household Use of Selected Energy Star Appliances i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of

  5. U.S. Utility-Scale Solar 60 Percent Towards Cost-Competition Goal |

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

    Department of Energy Utility-Scale Solar 60 Percent Towards Cost-Competition Goal U.S. Utility-Scale Solar 60 Percent Towards Cost-Competition Goal February 12, 2014 - 11:05am Addthis News Media Contact (202) 586-4940 WASHINGTON - The Energy Department announced today that the U.S. solar industry is more than 60 percent of the way to achieving cost-competitive utility-scale solar photovoltaic (PV) electricity - only three years into the Department's decade-long SunShot Initiative. To help

  6. EECBG 11-002 Clarification of Ten Percent Limitation on Use of...

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

    EECBG PROGRAM NOTICE 11-002 EFFECTIVE DATE: July 28, 2011 SUBJECT: CLARIFICATION OF TEN PERCENT LIMATION ON USE OF FUNDS FOR ADMINISTRATIVE EXPENSES PURPOSE To provide guidance to...

  7. EECBG 11-002 Clarification of Ten Percent Limitation on Use of Funds for Administrative Expenses

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy (DOE), Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency and Conservation Block Grant Program (EECBG), ten percent limitation, administrative expenses, the Energy Independence and Security Act of 2007.

  8. Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 Percent...

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

    Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 Percent of Total Electricity Production in Texas, April 2011 Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 ...

  9. Fact #924: May 9, 1916 Twenty Percent of New Cars in 2015 Had...

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

    Twenty Percent of New Cars in 2015 Had Turbochargers File fotw924web.xlsx More Documents & Publications Fact 923: May 2, 2016 Cylinder Deactivation was Used in More than a ...

  10. If I generate 20 percent of my national electricity from wind...

    Open Energy Info (EERE)

    If I generate 20 percent of my national electricity from wind and solar - what does it do to my GDP and Trade Balance ? Home I think that the economics of fossil fuesl are well...

  11. Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 Percent of Total

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

    Electricity Production in Texas, April 2011 | Department of Energy Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 Percent of Total Electricity Production in Texas, April 2011 Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 Percent of Total Electricity Production in Texas, April 2011 This report is an examination of the possible impacts, implications, and practicality of increasing the amount of electrical energy produced from combined heat and power (CHP) facilities

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

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

    Increases Reliability | Department of Energy 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 Reliability This case study outlines how General Motors (GM) developed a highly efficient pumping system for their Pontiac Operations Complex in Pontiac, Michigan. In short, GM was able to replace five original 60- to 100-hp pumps with three 15-hp pumps whose speed could

  13. NREL Study Shows 20 Percent Wind is Possible by 2024 - News Releases | NREL

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

    NREL Study Shows 20 Percent Wind is Possible by 2024 Analysis Shows Transmission Upgrades, Offshore Wind, and Operational Changes Needed to Incorporate 20 to 30 Percent Wind January 20, 2010 Today, the U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) released the Eastern Wind Integration and Transmission Study (EWITS). This unprecedented two-and-a-half year technical study of future high-penetration wind scenarios was designed to analyze the economic, operational,

  14. NREL Study: Hybrid Delivery Vans Show Nearly 20 Percent Higher Fuel Economy

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

    - News Releases | NREL Study: Hybrid Delivery Vans Show Nearly 20 Percent Higher Fuel Economy September 28, 2012 The U.S. Department of Energy's (DOE)'s National Renewable Energy Laboratory (NREL) recently completed a performance evaluation report that showed significant fuel economy benefits of hybrid electric delivery vans compared to similar conventional vans. "During the on-road portion of our study, the hybrid vans demonstrated a 13 to 20 percent higher fuel economy than the

  15. Better Buildings Challenge Partners Pledge 20 Percent Energy Drop By 2020 |

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

    Department of Energy Challenge Partners Pledge 20 Percent Energy Drop By 2020 Better Buildings Challenge Partners Pledge 20 Percent Energy Drop By 2020 November 9, 2011 - 10:00am Addthis This is the Atlanta Better Buildings Challenge Breakout Session Panel with representatives from the City of Atlanta Office of Sustainability, Southface, the U.S. General Services Administration, and two Atlanta BBC partner organizations. | Photo courtesy of Fred Perry Photography This is the Atlanta Better

  16. Household`s choices of efficiency levels for appliances: Using stated- and revealed-preference data to identify the importance of rebates and financing arrangements

    SciTech Connect (OSTI)

    Train, K.; Atherton, T.

    1994-11-01

    We examine customers` choice between standard and high-efficiency equipment, and the impact of utility incentives such as rebates and loans on this decision. Using data from interviews with 400 households, we identify the factors that customers consider in their choice of efficiency level for appliances and the relative importance of these factors. We build a model that describes customers` choices and can be used to predict choices in future situations under changes in the attributes of appliances and in the utility`s DSM and as part of the appliance-choice component of utilities` end-use forecasting systems. As examples, the model is used to predict the impacts of: doubling the size of rebates, replacing rebates with financing programs, and offering loans and rebates as alternative options for customers.

  17. Modeling patterns of hot water use in households

    SciTech Connect (OSTI)

    Lutz, J.D.; Liu, Xiaomin; McMahon, J.E.

    1996-11-01

    This report presents a detailed model of hot water use patterns in individual household. The model improves upon an existing model by including the effects of four conditions that were previously unaccounted for: the absence of a clothes washer; the absence of a dishwasher; a household consisting of seniors only; and a household that does not pay for its own hot water use. Although these four conditions can significantly affect residential hot water use, and have been noted in other studies, this is the first time that they have been incorporated into a detailed model. This model allows detailed evaluation of the impact of potential efficiency standards for water heaters and other market transformation policies. 21 refs., 3 figs., 10 tabs.

  18. Modeling patterns of hot water use in households

    SciTech Connect (OSTI)

    Lutz, James D.; Liu, Xiaomin; McMahon, James E.; Dunham, Camilla; Shown, Leslie J.; McCure, Quandra T.

    1996-01-01

    This report presents a detailed model of hot water use patterns in individual households. The model improves upon an existing model by including the effects of four conditions that were previously unaccounted for: the absence of a clothes washer; the absence of a dishwasher; a household consisting of seniors only; and a household that does not pay for its own hot water use. Although these four conditions can significantly affect residential hot water use, and have been noted in other studies, this is the first time that they have been incorporated into a detailed model. This model allows detailed evaluation of the impact of potential efficiency standards for water heaters and other market transformation policies.

  19. 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.

  20. MFT homogeneity study at TNX: Final report on the low weight percent solids concentration

    SciTech Connect (OSTI)

    Jenkins, W.J.

    1993-09-21

    A statistical design and analysis of both elemental analyses and weight percent solids analyses data was utilized to evaluate the MFT homogeneity at low heel levels and low agitator speed at both high and low solids feed concentrations. The homogeneity was also evaluated at both low and high agitator speed at the 6000+ gallons static level. The dynamic level portion of the test simulated feeding the Melter from the MFT to evaluate the uniformity of the solids slurry composition (Frit-PHA-Sludge) entering the melter from the MFT. This final report provides the results and conclusions from the second half of the study, the low weight percent solids concentration portion, as well as a comparison with the results from the first half of the study, the high weight percent solids portion.

  1. Wind Energy Could Produce 20 Percent of U.S. Electricity By 2030 |

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

    Department of Energy Energy Could Produce 20 Percent of U.S. Electricity By 2030 Wind Energy Could Produce 20 Percent of U.S. Electricity By 2030 May 12, 2008 - 11:30am Addthis DOE Report Analyzes U.S. Wind Resources, Technology Requirements, and Manufacturing, Siting and Transmission Hurdles to Increasing the Use of Clean and Sustainable Wind Power WASHINGTON, DC - The U.S Department of Energy (DOE) today released a first-of-its kind report that examines the technical feasibility of

  2. NREL Solar Cell Sets World Efficiency Record at 40.8 Percent - News

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

    Releases | NREL NREL Solar Cell Sets World Efficiency Record at 40.8 Percent August 13, 2008 Scientists at the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) have set a world record in solar cell efficiency with a photovoltaic device that converts 40.8 percent of the light that hits it into electricity. This is the highest confirmed efficiency of any photovoltaic device to date. The inverted metamorphic triple-junction solar cell was designed, fabricated and

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

    SciTech Connect (OSTI)

    Karvelas, D.E.; Jody, B.J.; Poykala, J.A. Jr.; Daniels, E.J.; Arman, B. |

    1996-03-01

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

  4. WPN 94-8: 40 Percent Waiver Provisions for Mobile Home Units

    Broader source: Energy.gov [DOE]

    This program notice provides clarifying guidance previously issued under Weatherization Program Notice 93-14 on mobile home units weatherized by states which adopt the approved 4.0 version of NEAT or other similar approved energy audits and receive a waiver of the 40 percent requirement from DOE.

  5. WPN 93-14: 40 Percent Waiver Provisions for Multifamily and Mobile Home Units

    Broader source: Energy.gov [DOE]

    This program notice provides guidance on multifamily and mobile home units weatherized by states, which adopt the approved 4.0 version of NEAT or other similar approved energy audits and receive a waiver of the 40 percent requirement from DOE.

  6. Figure 5. Production Schedules at Two Development Rates for the 5 Percent

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

    Probability of Recovering 16.0 Billion Barrels 5. Production Schedules at Two Development Rates for the 5 Percent Probability of Recovering 16.0 Billion Barrels of Technically Recoverable Oil from the ANWR Coastal Plain of Alaska fig5.jpg (3770

  7. Percent of Commercial Natural Gas Deliveries in Hawaii Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100 100 100 100 100 100 100 100 100 100 2000's 100 100 100 100 100 100 100 100 100 100 2010's 100 100 100 100

  8. Percent of Commercial Natural Gas Deliveries in Vermont Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100 100 100 100 100 100 100 100 100 100 2000's 100 100 100 100 100 100 100 100 100 100 2010's 100 100 100 100 100 NA

  9. Percent of Industrial Natural Gas Deliveries in Hawaii Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100 100 100 2000's 100 100 100 100 100 100 100 100 100 100 2010's 100 100 100 100

  10. EERE Success Story-Kingston Creek Hydro Project Powers 100 Households...

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

    Kingston Creek Hydro Project Powers 100 Households EERE Success Story-Kingston Creek Hydro Project Powers 100 Households August 21, 2013 - 12:00am Addthis Nevada-based contracting ...

  11. Fact #747: October 1, 2012 Behind Housing, Transportation is the Top Household Expenditure

    Broader source: Energy.gov [DOE]

    Except for housing, transportation was the largest single expenditure for the average American household in 2010. The average household spends more on transportation in a year than on food. Vehicle...

  12. Fact #729: May 28, 2012 Secondary Household Vehicles Travel Fewer Miles

    Broader source: Energy.gov [DOE]

    When a household has more than one vehicle, the secondary vehicles travel fewer miles than the primary vehicle. In a two-vehicle household, the second vehicle travels less than half of the miles...

  13. Heating oil and propane households bills to be lower this winter...

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

    Heating oil and propane households bills to be lower this winter despite recent cold spell Despite the recent cold weather, households that use heating oil or propane as their main ...

  14. Fact #618: April 12, 2010 Vehicles per Household and Other Demographic Statistics

    Broader source: Energy.gov [DOE]

    Since 1969, the number of vehicles per household has increased by 66% and the number of vehicles per licensed driver has increased by 47%. The number of workers per household has changed the least...

  15. Household Vehicles Energy Use: Latest Data and Trends - Table...

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

    ... 6.5 1.5 15.4 957 1,031 Income Relative to Poverty Line Below 100 Percent... 7.9 1.4 14.7 942 937...

  16. Percent of Industrial Natural Gas Deliveries in Iowa Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 8.7 6.8 7.4 2000's 7.0 7.5 7.6 7.9 8.4 9.8 8.5 6.5 6.6 6.4 2010's 5.8 5.5 5.2 5.

  17. Percent of Industrial Natural Gas Deliveries in Vermont Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100.0 100.0 76.6 2000's 83.8 75.4 74.7 78.8 78.3 81.7 78.4 78.0 79.6 77.9 2010's 77.1 80.9 100.0 100.0

  18. Waste Isolation Pilot Plant Contractor Receives 86 Percent of Available Fee

    Broader source: Energy.gov [DOE]

    CARLSBAD, N.M. – EM’s Carlsbad Field Office (CBFO) recently issued the fiscal year 2015 fee award determination for Nuclear Waste Partnership (NWP), and it shows the Waste Isolation Pilot Plant (WIPP) management and operations contractor earned almost 86 percent — or about $11.7 million of more than $13.6 million — of the fee available for the performance period.

  19. Percent of Commercial Natural Gas Deliveries in Alabama Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 79.6 82.7 80.7 80.8 80.3 80.1 81.1 64.7 80.5 70.5 2000's 81.4 82.5 80.5 81.8 82.1 80.5 80.2 79.8 80.2 78.8 2010's 79.3 78.9 76.2 76.6 78.4 77.6

  20. Percent of Commercial Natural Gas Deliveries in Alaska Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100.0 100.0 100.0 100.0 100.0 79.9 63.4 54.5 49.6 55.4 2000's 59.3 60.5 60.0 59.1 55.5 51.2 56.3 76.0 74.9 85.3 2010's 87.7 88.6 94.9 94.5 94.5 98.2

  1. Percent of Commercial Natural Gas Deliveries in Arkansas Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 92.3 91.5 90.7 91.8 95.1 96.0 95.0 94.2 90.8 89.3 2000's 89.9 87.0 80.8 81.9 80.3 74.1 71.7 70.4 64.5 59.4 2010's 55.6 51.5 40.2 43.7 45.5 42.5

  2. Percent of Commercial Natural Gas Deliveries in Colorado Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 97.3 96.0 95.5 95.5 94.8 94.2 93.2 92.8 94.3 97.5 2000's 97.4 95.6 95.3 95.3 94.7 95.2 95.4 95.7 95.2 94.8 2010's 94.6 93.8 92.2 94.7 94.5 NA

  3. Percent of Commercial Natural Gas Deliveries in Delaware Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 98.8 2000's 98.0 98.3 82.8 82.8 81.6 83.3 77.5 74.8 70.6 53.5 2010's 49.8 53.4 43.7 45.0 46.2 45.7

  4. Percent of Commercial Natural Gas Deliveries in Florida Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 97.6 97.4 97.7 97.8 97.9 97.6 97.1 97.5 96.6 94.5 2000's 67.4 56.6 42.3 42.3 41.2 100.0 100.0 100.0 100.0 100.0 2010's 100.0 38.5 37.0 33.3 32.3 NA

  5. Percent of Commercial Natural Gas Deliveries in Georgia Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 88.4 87.5 88.1 90.5 92.0 93.5 94.1 89.1 83.6 61.0 2000's 17.1 20.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 2010's 100.0 100.0 100.0 100.0

  6. Percent of Commercial Natural Gas Deliveries in Idaho Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 87.9 87.6 85.7 86.8 85.9 86.0 86.6 86.1 86.4 85.9 2000's 86.3 86.3 85.9 85.2 85.7 85.6 85.8 84.8 86.0 83.7 2010's 82.0 80.8 77.0 77.4 76.6 74.6

  7. Percent of Commercial Natural Gas Deliveries in Illinois Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 57.6 59.0 57.7 55.3 52.8 50.4 53.9 54.3 47.4 42.8 2000's 41.9 41.1 40.9 43.1 41.2 41.5 39.7 42.2 43.3 41.3 2010's 42.3 38.1 36.8 38.4 38.5 NA

  8. Percent of Commercial Natural Gas Deliveries in Indiana Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 95.7 94.2 96.8 95.2 92.3 87.8 96.3 89.9 79.2 78.3 2000's 78.0 77.1 78.4 79.8 78.2 82.1 79.4 78.1 77.9 73.9 2010's 72.5 70.2 67.4 68.2 67.6 67.0

  9. Percent of Commercial Natural Gas Deliveries in Iowa Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 97.6 97.7 95.7 94.7 90.4 89.3 87.7 88.2 85.8 83.4 2000's 81.1 82.0 81.4 78.0 78.3 78.3 77.3 77.7 75.8 72.5 2010's 72.0 72.1 72.2 72.5 74.4 NA

  10. Percent of Commercial Natural Gas Deliveries in Kansas Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 91.6 89.2 84.4 82.6 78.4 73.6 71.7 70.3 69.5 66.7 2000's 57.3 63.1 58.9 59.1 57.3 68.5 65.4 64.8 64.9 65.7 2010's 66.0 62.6 59.8 61.4 59.3 NA

  11. Percent of Commercial Natural Gas Deliveries in Kentucky Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 95.0 94.0 93.1 92.6 91.4 89.2 90.8 90.0 87.4 87.9 2000's 85.6 81.8 78.9 79.2 78.7 79.7 81.3 81.7 82.0 80.1 2010's 80.5 79.2 77.4 78.8 80.5 79.2

  12. Percent of Commercial Natural Gas Deliveries in Maryland Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 95.6 96.6 96.0 96.6 97.1 96.9 91.9 67.1 36.6 33.4 2000's 39.1 32.6 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 2010's 100.0 27.3 24.7 26.2 27.3 27.4

  13. Percent of Commercial Natural Gas Deliveries in Michigan Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 69.9 68.3 68.8 68.6 65.7 66.4 66.9 63.7 59.7 56.6 2000's 58.8 63.5 62.9 64.2 65.6 100.0 100.0 100.0 100.0 100.0 2010's 100.0 54.1 51.0 53.2 55.2 55

  14. Percent of Commercial Natural Gas Deliveries in Missouri Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 86.0 85.9 85.5 84.6 83.3 83.3 82.2 79.9 78.3 78.6 2000's 80.0 80.8 80.0 80.5 77.4 77.1 76.4 76.9 77.5 76.7 2010's 76.5 73.1 69.2 72.3 70.5 71.1

  15. Percent of Commercial Natural Gas Deliveries in Montana Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 97.9 97.5 95.4 93.2 91.8 91.6 91.5 91.5 77.2 79.8 2000's 73.5 76.1 75.1 68.8 76.0 77.4 76.9 78.5 79.6 49.2 2010's 54.6 53.3 52.8 53.3 53.5 NA

  16. Percent of Commercial Natural Gas Deliveries in Nebraska Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 93.9 91.8 88.2 91.0 80.2 77.1 70.0 74.2 72.5 66.6 2000's 61.1 63.7 63.7 65.4 63.5 64.5 65.1 63.9 57.5 61.3 2010's 60.6 60.6 55.8 57.3 56.4 56.1

  17. Percent of Commercial Natural Gas Deliveries in Nevada Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 97.7 90.8 88.3 92.7 82.5 76.5 74.2 71.3 70.2 60.9 2000's 54.6 73.9 78.5 67.2 67.9 68.1 68.2 67.0 67.0 65.1 2010's 65.4 64.3 61.4 60.1 58.4 57.9

  18. Percent of Commercial Natural Gas Deliveries in New Jersey Represented by

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

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 94.8 93.9 92.4 91.6 91.6 86.3 73.3 56.2 60.5 56.0 2000's 56.9 57.5 49.1 50.7 48.1 51.6 46.9 44.2 42.1 38.3 2010's 36.1 32.6 30.8 35.2 32.0 NA

  19. Percent of Commercial Natural Gas Deliveries in New Mexico Represented by

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

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 83.1 77.7 70.0 62.5 62.4 60.3 64.7 71.0 67.0 63.0 2000's 62.2 67.3 72.5 70.3 69.0 69.0 65.0 64.2 62.6 58.2 2010's 60.7 59.8 57.0 57.0 54.4 NA

  20. Percent of Commercial Natural Gas Deliveries in New York Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 83.6 80.7 77.7 77.2 79.6 76.2 77.0 64.7 53.1 57.2 2000's 40.1 45.7 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 2010's 100.0 100.0 100.0 100.0

  1. Percent of Commercial Natural Gas Deliveries in North Dakota Represented by

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

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 74.8 70.0 68.9 72.7 79.6 80.9 88.0 88.9 83.8 88.2 2000's 89.5 90.1 91.6 94.4 92.6 92.9 93.0 93.3 93.4 92.9 2010's 92.6 92.8 91.9 92.6 93.1 NA

  2. Percent of Commercial Natural Gas Deliveries in Ohio Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 87.3 86.7 85.6 84.6 81.5 76.3 71.8 65.5 55.0 46.4 2000's 45.2 41.8 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 2010's 100.0 100.0 100.0 100.0

  3. Percent of Commercial Natural Gas Deliveries in Oklahoma Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 92.1 91.3 88.5 90.0 88.5 85.2 84.5 81.8 73.2 71.6 2000's 72.4 74.0 71.0 71.3 61.6 53.1 49.9 48.1 51.3 46.4 2010's 47.5 46.3 41.1 44.6 45.3 43.7

  4. Percent of Commercial Natural Gas Deliveries in Oregon Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 97.7 97.9 97.8 97.9 98.1 98.1 98.3 98.5 99.0 98.8 2000's 98.8 99.3 98.7 98.4 98.6 98.6 98.5 98.5 98.5 98.4 2010's 97.4 97.4 96.9 96.6 96.0 NA

  5. Percent of Commercial Natural Gas Deliveries in Rhode Island Represented by

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

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 95.9 100.0 100.0 100.0 100.0 100.0 91.8 80.5 59.2 53.2 2000's 53.2 58.0 65.9 72.1 73.3 74.3 73.1 66.5 66.2 68.0 2010's 61.2 56.9 55.4 54.5 52.2 53.9

  6. Percent of Commercial Natural Gas Deliveries in South Dakota Represented by

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

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 86.4 81.8 82.4 83.9 89.1 86.9 82.7 83.3 84.2 81.2 2000's 83.1 84.2 83.1 82.3 82.3 83.5 82.1 81.2 83.0 82.2 2010's 80.9 81.7 81.6 81.6 81.6 81.0

  7. Percent of Commercial Natural Gas Deliveries in Texas Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 89.8 89.3 79.7 83.8 82.4 68.6 83.5 61.4 81.0 77.3 2000's 79.0 88.4 71.8 73.7 74.6 79.5 82.0 81.9 82.5 78.3 2010's 76.4 73.4 72.4 72.8 72.6 NA

  8. Percent of Commercial Natural Gas Deliveries in Utah Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100.0 100.0 100.0 100.0 83.3 81.8 81.9 83.2 82.5 82.9 2000's 83.9 84.4 83.7 84.4 84.4 86.8 86.8 86.9 86.4 85.6 2010's 86.2 86.7 83.9 81.8 78.3 77.0

  9. Percent of Commercial Natural Gas Deliveries in Virginia Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 93.2 93.6 90.7 88.8 86.7 84.1 85.3 77.9 72.1 67.4 2000's 66.4 65.8 61.4 65.7 63.6 100.0 100.0 100.0 100.0 100.0 2010's 100.0 54.1 52.1 54.6 55.8 54.2

  10. Percent of Commercial Natural Gas Deliveries in Wyoming Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 99.8 99.0 98.0 98.0 96.1 93.6 85.9 84.1 90.5 89.1 2000's 90.0 86.5 48.7 51.7 51.4 49.3 47.8 49.3 65.6 65.5 2010's 65.3 64.0 62.6 62.9 60.8 NA

  11. Percent of Industrial Natural Gas Deliveries in Delaware Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 31.0 22.4 16.6 2000's 10.6 16.1 13.4 15.6 11.7 12.2 9.0 9.8 5.8 2.1 2010's 5.3 1.6 0.3 0.3 0.3 NA

  12. Percent of Industrial Natural Gas Deliveries in Florida Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 10.5 7.3 5.0 2000's 5.2 3.8 3.8 3.9 3.7 3.4 3.1 3.1 3.0 3.2 2010's 3.0 3.0 2.7 3.2 3.5 NA

  13. Percent of Industrial Natural Gas Deliveries in Georgia Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 26.7 25.3 23.9 2000's 20.2 19.9 19.2 15.9 16.4 17.1 17.0 17.2 16.1 17.6 2010's 18.2 18.2 20.0 18.9 20.0 NA

  14. Percent of Industrial Natural Gas Deliveries in Idaho Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.0 2.5 2.7 2000's 2.7 2.2 2.0 2.1 2.4 2.3 2.1 2.0 1.9 1.7 2010's 1.8 2.0 1.9 2.5 2.8 2.4

  15. Percent of Industrial Natural Gas Deliveries in Illinois Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 11.5 9.3 9.1 2000's 9.0 9.9 9.3 9.9 9.0 9.5 8.7 9.5 9.4 7.7 2010's 7.4 6.3 6.0 6.8 6.4 5.7

  16. Percent of Industrial Natural Gas Deliveries in Indiana Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 16.0 9.3 5.8 2000's 10.3 7.7 8.6 9.0 8.3 7.9 7.2 7.4 6.7 7.0 2010's 5.6 3.5 1.9 2.0 2.1 1.9

  17. Percent of Industrial Natural Gas Deliveries in Kansas Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 9.2 9.9 10.1 2000's 10.4 9.3 10.8 7.9 6.9 6.3 7.3 5.9 7.8 6.7 2010's 7.0 9.5 9.7 9.3 8.3 NA

  18. Percent of Industrial Natural Gas Deliveries in Kentucky Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 19.2 17.8 17.5 2000's 19.0 18.7 17.7 18.8 16.9 16.9 15.8 16.6 17.5 18.1 2010's 17.9 17.6 17.8 18.3 17.2 16.0

  19. Percent of Industrial Natural Gas Deliveries in Maryland Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 7.4 7.0 6.5 2000's 6.1 8.5 8.0 10.0 8.2 8.2 6.7 7.8 6.3 5.3 2010's 5.3 5.5 5.1 6.8 7.3 NA

  20. Percent of Industrial Natural Gas Deliveries in Michigan Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 12.5 10.8 11.1 2000's 10.2 11.3 10.2 10.9 10.7 10.1 10.2 12.6 12.5 11.8 2010's 8.8 9.3 7.4 7.4 7.6 NA

  1. Percent of Industrial Natural Gas Deliveries in Missouri Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 21.5 18.2 18.5 2000's 16.8 16.5 16.0 14.8 13.8 14.2 13.2 12.8 13.9 13.2 2010's 13.1 13.4 12.5 13.9 14.0 12.3

  2. Percent of Industrial Natural Gas Deliveries in Montana Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 3.1 1.5 1.7 2000's 1.9 2.2 2.1 1.8 1.6 1.8 0.7 0.8 1.0 1.1 2010's 1.5 1.3 1.0 1.2 1.4 NA

  3. Percent of Industrial Natural Gas Deliveries in Nebraska Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 27.0 12.7 14.2 2000's 15.4 18.0 15.7 16.5 16.5 16.3 11.6 9.7 10.2 8.9 2010's 8.2 7.6 6.8 7.8 7.4 7.1

  4. Percent of Industrial Natural Gas Deliveries in Nevada Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 6.3 15.5 22.5 2000's 18.1 33.3 34.3 19.1 16.5 17.2 16.8 17.1 17.8 17.3 2010's 18.4 17.8 15.5 15.7 15.5 NA

  5. Percent of Industrial Natural Gas Deliveries in New Jersey Represented by

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

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 49.3 49.5 47.9 2000's 23.5 21.6 20.8 19.5 16.4 19.9 19.5 20.6 11.0 9.0 2010's 8.4 8.2 6.5 6.1 6.6 NA

  6. Percent of Industrial Natural Gas Deliveries in New Mexico Represented by

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

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 9.5 9.8 16.4 2000's 16.5 10.1 15.6 12.3 11.2 8.4 11.6 10.6 10.0 11.9 2010's 12.4 10.2 7.9 8.0 7.5 6.4

  7. Percent of Industrial Natural Gas Deliveries in New York Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 12.7 8.3 14.3 2000's 11.3 10.8 11.0 10.6 10.7 14.7 11.7 12.3 11.4 11.7 2010's 10.6 7.9 6.8 6.3 6.1 NA

  8. Percent of Industrial Natural Gas Deliveries in North Dakota Represented by

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

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 18.5 14.6 14.9 2000's 13.9 9.8 9.2 45.9 51.1 27.5 42.3 48.1 46.2 34.8 2010's 29.7 37.4 34.7 37.9 34.7 39.6

  9. Percent of Industrial Natural Gas Deliveries in Ohio Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 5.7 4.3 4.1 2000's 5.3 6.5 4.0 3.9 3.5 3.6 3.0 2.7 2.7 2.8 2010's 2.1 2.0 1.6 2.2 2.0 NA

  10. Percent of Industrial Natural Gas Deliveries in Oklahoma Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 4.7 3.6 3.9 2000's 4.2 4.2 3.3 2.4 1.6 1.6 1.1 0.9 0.6 0.5 2010's 0.5 0.6 0.5 0.7 0.8

  11. Percent of Industrial Natural Gas Deliveries in Oregon Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 16.3 14.3 13.6 2000's 17.7 21.5 14.4 17.5 24.9 33.2 26.6 21.8 20.1 18.9 2010's 17.1 17.1 16.7 16.9 17.2 16.6

  12. Percent of Industrial Natural Gas Deliveries in Rhode Island Represented by

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

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 17.4 7.4 6.5 2000's 34.0 27.3 27.3 18.9 15.7 15.3 13.6 11.6 11.7 9.2 2010's 6.5 6.0 6.3 9.0 8.1 5.3

  13. Percent of Industrial Natural Gas Deliveries in South Dakota Represented by

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

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 24.1 35.6 37.0 2000's 41.9 42.1 19.4 25.5 28.2 30.2 33.6 17.8 16.9 14.4 2010's 10.4 4.7 4.3 5.2 4.6 4.1

  14. Percent of Industrial Natural Gas Deliveries in Texas Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 17.2 14.1 23.7 2000's 29.6 35.0 43.0 43.9 48.8 54.6 55.4 54.7 50.4 47.2 2010's 48.6 39.0 39.4 41.7 40.3 40

  15. Percent of Industrial Natural Gas Deliveries in Utah Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 8.9 8.6 9.5 2000's 10.0 10.4 13.6 13.6 19.8 19.5 20.1 14.1 12.7 12.2 2010's 12.1 12.7 11.0 11.1 10.5 8.6

  16. Percent of Industrial Natural Gas Deliveries in Virginia Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 13.0 12.8 12.1 2000's 17.6 17.3 15.3 17.3 16.0 17.1 13.9 14.1 17.3 15.8 2010's 15.3 13.6 10.9 10.3 11.1 NA

  17. Percent of Industrial Natural Gas Deliveries in Wyoming Represented by the

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

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.5 2.0 2.9 2000's 2.6 2.5 2.9 1.8 2.1 3.7 3.5 3.0 3.2 3.1 2010's 1.1 1.0 0.9 1.2 1.3 NA

  18. Method to produce alumina aerogels having porosities greater than 80 percent

    DOE Patents [OSTI]

    Poco, John F.; Hrubesh, Lawrence W.

    2003-09-16

    A two-step method for producing monolithic alumina aerogels having porosities of greater than 80 percent. Very strong, very low density alumina aerogel monoliths are prepared using the two-step sol-gel process. The method of preparing pure alumina aerogel modifies the prior known sol method by combining the use of substoichiometric water for hydrolysis, the use of acetic acid to control hydrolysis/condensation, and high temperature supercritical drying, all of which contribute to the formation of a polycrystalline aerogel microstructure. This structure provides exceptional mechanical properties of the alumina aerogel, as well as enhanced thermal resistance and high temperature stability.

  19. Household Vehicles Energy Use: Latest Data and Trends - Table...

    Gasoline and Diesel Fuel Update (EIA)

    ... 9.6 5.0 100 4.4 6.2 4.5 0.8 6.8 4.5 Income Relative to Poverty Line Below 100 Percent... 11.4 6.0 116 5.1 5.6...

  20. Households to pay more than expected to stay warm this winter

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

    November, U.S. households are forecast to consume more heating fuels than ... That's the latest forecast from the U.S. Energy Information Administration. Propane users ...

  1. Effect of Income on Appliances in U.S. Households, The

    Reports and Publications (EIA)

    2004-01-01

    Entails how people live, the factors that cause the most differences in home lifestyle, including energy use in geographic location, socioeconomics and household income.

  2. Forum on Enhancing the Delivery of Energy Efficiency to Middle Income Households: Discussion Summary

    SciTech Connect (OSTI)

    none,

    2012-09-20

    Summarizes discussions and recommendations from a forum for practitioners and policymakers aiming to strengthen residential energy efficiency program design and delivery for middle income households.

  3. Percent of Commercial Natural Gas Deliveries in Hawaii Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100 100 100 100 100 100 100 100 100 100 100 100 1990 100 100 100 100 100 100 100 100 100 100 100 100 1991 100 100 100 100 100 100 100 100 100 100 100 100 1992 100 100 100 100 100 100 100 100 100 100 100 100 1993 100 100 100 100 100 100 100 100 100 100 100 100 1994 100 100 100 100 100 100 100 100 100 100 100 100 1995 100 100 100 100 100 100 100 100 100 100 100 100 1996 100 100 100 100 100 100 100 100 100 100 100 100

  4. Percent of Commercial Natural Gas Deliveries in Vermont Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100 100 100 100 100 100 100 100 100 100 100 100 1990 100 100 100 100 100 100 100 100 100 100 100 100 1991 100 100 100 100 100 100 100 100 100 100 100 100 1992 100 100 100 100 100 100 100 100 100 100 100 100 1993 100 100 100 100 100 100 100 100 100 100 100 100 1994 100 100 100 100 100 100 100 100 100 100 100 100 1995 100 100 100 100 100 100 100 100 100 100 100 100 1996 100 100 100 100 100 100 100 100 100 100 100 100

  5. Percent of Industrial Natural Gas Deliveries in Hawaii Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 100 100 100 100 100 100 100 100 100 100 100 100 2002 100 100 100 100 100 100 100 100 100 100 100 100 2003 100 100 100 100 100 100 100 100 100 100 100 100 2004 100 100 100 100 100 100 100 100 100 100 100 100 2005 100 100 100 100 100 100 100 100 100 100 100 100 2006 100 100 100 100 100 100 100 100 100 100 100 100 2007 100 100 100 100 100 100 100 100 100 100 100 100 2008 100 100 100 100 100 100 100 100 100 100 100 100

  6. Percent of Commercial Natural Gas Deliveries in U.S. Total Represented by

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

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 93.1 90.8 89.1 1990's 86.6 85.1 83.2 83.9 79.3 76.7 77.6 70.8 67.0 66.1 2000's 63.9 66.0 77.4 78.2 78.0 82.1 80.8 80.4 79.7 77.8 2010's 77.5 67.3 65.2 65.8 65.8 65.9

  7. Hopper Job Size Charts

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

    Job Size Charts Hopper Job Size Charts Fractional Jobs The following charts show the fraction of hours used on Hopper in each of five job-core-size bins: 2014 Usage by Job Size Chart 2013 2012 2011 Large Jobs The following charts show the fraction of hours used on Hopper by jobs using greater than 16,384 cores: 2014 2013 2012 Usage by Job Size Chart 2011 Last edited: 2016-05-02 09:20:42

  8. Commercial viability of hybrid vehicles : best household use and cross national considerations.

    SciTech Connect (OSTI)

    Santini, D. J.; Vyas, A. D.

    1999-07-16

    Japanese automakers have introduced hybrid passenger cars in Japan and will soon do so in the US. In this paper, we report how we used early computer simulation model results to compare the commercial viability of a hypothetical near-term (next decade) hybrid mid-size passenger car configuration under varying fuel price and driving patterns. The fuel prices and driving patterns evaluated are designed to span likely values for major OECD nations. Two types of models are used. One allows the ''design'' of a hybrid to a specified set of performance requirements and the prediction of fuel economy under a number of possible driving patterns (called driving cycles). Another provides an estimate of the incremental cost of the hybrid in comparison to a comparably performing conventional vehicle. In this paper, the models are applied to predict the NPV cost of conventional gasoline-fueled vehicles vs. parallel hybrid vehicles. The parallel hybrids are assumed to (1) be produced at high volume, (2) use nickel metal hydride battery packs, and (3) have high-strength steel bodies. The conventional vehicle also is assumed to have a high-strength steel body. The simulated vehicles are held constant in many respects, including 0-60 time, engine type, aerodynamic drag coefficient, tire rolling resistance, and frontal area. The hybrids analyzed use the minimum size battery pack and motor to meet specified 0-60 times. A key characteristic affecting commercial viability is noted and quantified: that hybrids achieve the most pronounced fuel economy increase (best use) in slow, average-speed, stop-and-go driving, but when households consistently drive these vehicles under these conditions, they tend to travel fewer miles than average vehicles. We find that hours driven is a more valuable measure than miles. Estimates are developed concerning hours of use of household vehicles versus driving cycle, and the pattern of minimum NPV incremental cost (or benefit) of selecting the hybrid over the conventional vehicle at various fuel prices is illustrated. These results are based on data from various OECD motions on fuel price, annual miles of travel per vehicle, and driving cycles assumed to be applicable in those nations. Scatter in results plotted as a function of average speed, related to details of driving cycles and the vehicles selected for analysis, is discussed.

  9. Edison Job Size Charts

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

    Reports » Edison Job Size Charts Edison Job Size Charts Fraction of Hours Used per Job Size Note: Interactive charts with current and past Cori and Edison data are now available on MyNERSC This chart shows the fraction of hours used on Edison in each of 5 job-core-size bins. 2015 Usage by Job Size Chart 2014 Fraction of Hours Used by Big Jobs This chart shows the fraction of hours used on Edison by jobs using 16,384 or more cores. 2015 Usage by Job Size Chart 2014 Last edited: 2016-04-21

  10. Possibility of using cylindrical ionization chambers for percent depth-dose measurements in clinical electron beams

    SciTech Connect (OSTI)

    Ono, Takeshi; Araki, Fujio; Yoshiyama, Fumiaki

    2011-08-15

    Purpose: This study investigated the possibility of using cylindrical ionization chambers for percent depth-dose (PDD) measurements in high-energy clinical electron beams. Methods: The cavity correction factor, P{sub cav}, for cylindrical chambers with various diameters was calculated as a function of depth from the surface to R{sub 50}, in the energy range of 6-18 MeV electrons with the EGSnrc C ++ -based user-code CAVITY. The results were compared with those for IBA NACP-02 and PTW Roos parallel-plate ionization chambers. The effective point of measurement (EPOM) for the cylindrical chamber and the parallel-plate chamber was positioned according to the IAEA TRS-398 code of practice. The overall correction factor, P{sub Q}, and the percent depth-ionization (PDI) curve for a PTW30013 Farmer-type chamber were also compared with those of NACP-02 and Roos chambers. Results: The P{sub cav} values at depths between the surface and R{sub 50} for cylindrical chambers were all lower than those with parallel-plate chambers. However, the variation in depth for cylindrical chambers equal to or less than 4 mm in diameter was equivalent to or smaller than that for parallel-plate chambers. The P{sub Q} values for the PTW30013 chamber mainly depended on P{sub cav}, and for parallel-plate chambers depended on the wall correction factor, P{sub wall}, rather than P{sub cav}. P{sub Q} at depths from the surface to R{sub 50} for the PTW30013 chamber was consequently a lower value than that with parallel-plate chambers. However, the variation in depth was equivalent to that of parallel-plate chambers at electron energies equal to or greater than 9 MeV. The shift to match calculated PDI curves for the PTW30013 chamber and water (perturbation free) varied from 0.65 to 0 mm between 6 and 18 MeV beams. Similarly, the shifts for NACP-02 and Roos chambers were 0.5-0.6 mm and 0.2-0.3 mm, respectively, and were nearly independent of electron energy. Conclusions: Calculated PDI curves for PTW30013, NACP-02, and Roos chambers agreed well with that of water by using the optimal EPOM. Therefore, the possibility of using cylindrical ionization chambers can be expected for PDD measurements in clinical electron beams.

  11. Household Vehicles Energy Use: Latest Data and Trends - Table...

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

    11.5 0.8 1.0 0.9 0.8 0.7 0.8 0.7 1.6 1.4 0.8 0.5 0.2 0.1 0.7 0.4 Income Relative to Poverty Line Below 100 Percent... 13.3 0.3 0.4 0.4 0.6...

  12. Percent of Commercial Natural Gas Deliveries in Alaska Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1991 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1992 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1994 100.0 100.0 100.0 100.0 100.0 100.0

  13. Percent of Commercial Natural Gas Deliveries in Delaware Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1991 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1992 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1994 100.0 100.0 100.0 100.0 100.0 100.0

  14. Percent of Commercial Natural Gas Deliveries in Florida Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1990 100.0 100.0 100.0 100.0 96.2 96.1 96.3 96.1 96.4 96.0 96.7 94.9 1991 96.5 97.0 97.5 98.1 97.8 97.8 97.9 97.8 98.2 97.8 96.8 96.8 1992 96.8 97.2 97.4 98.2 98.3 98.2 98.1 98.1 98.3 98.2 97.4 97.0 1993 97.2 97.2 97.2 98.3 98.4 98.4 98.3 98.3 98.3 98.2 97.3 97.0 1994 97.3 97.6 97.8 98.3 97.6 98.3 98.2 98.4 98.5 97.9 97.8 97.0 1995 96.7 97.3 97.5

  15. Percent of Commercial Natural Gas Deliveries in Maine Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1991 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1992 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1994 100.0 100.0 100.0 100.0 100.0 100.0

  16. Percent of Commercial Natural Gas Deliveries in New Jersey Represented by

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

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 99.0 98.9 98.7 98.3 96.2 94.7 94.2 93.4 93.5 94.7 99.0 99.7 1990 99.6 99.3 96.6 94.4 94.3 93.2 89.3 86.4 87.1 86.2 91.7 96.5 1991 98.1 96.5 95.8 91.8 92.3 89.1 89.5 80.6 89.2 90.0 93.2 97.0 1992 96.9 95.7 92.1 87.7 94.1 91.3 88.6 80.7 80.7 86.4 94.8 96.9 1993 93.6 94.0 93.7 91.2 88.5 86.4 87.1 79.8 84.6 90.0 92.4 93.8 1994 94.9 96.2 96.3 89.8 87.4 85.1 81.4 82.2 83.6 88.0 89.6 92.1 1995 93.7 92.4 91.3 87.4 84.5

  17. Percent of Commercial Natural Gas Deliveries in North Dakota Represented by

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

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 81.7 84.8 84.0 83.9 80.6 74.8 69.2 64.9 71.4 70.9 74.8 81.6 1990 83.9 82.5 78.4 76.0 75.4 69.7 54.3 53.3 57.4 58.4 69.8 75.8 1991 79.4 79.9 74.9 71.7 70.6 59.0 49.6 47.6 49.6 48.7 67.6 70.1 1992 71.7 73.7 72.0 71.6 73.6 63.8 61.6 58.8 57.2 56.8 67.3 68.9 1993 77.1 73.8 77.4 76.8 73.3 62.6 58.1 54.0 53.5 56.0 74.2 78.9 1994 82.6 86.8 83.1 82.1 78.4 69.7 66.2 63.2 61.8 64.0 82.2 76.9 1995 84.3 85.9 84.3 83.2 80.0

  18. Percent of Commercial Natural Gas Deliveries in Rhode Island Represented by

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

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 87.1 83.9 47.7 48.9 40.4 44.6 82.7 100.0 100.0 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 75.5 80.2 97.3 91.1 1991 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1992 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1994 100.0 100.0 100.0 100.0 100.0 100.0 100.0

  19. Percent of Commercial Natural Gas Deliveries in South Dakota Represented by

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

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 92.8 93.1 92.8 92.1 92.5 91.6 90.2 89.4 90.0 89.6 91.1 92.0 1990 90.7 90.1 90.2 88.0 78.4 83.0 81.9 82.4 82.0 77.7 82.0 86.3 1991 84.8 83.0 80.5 83.4 79.5 74.9 74.3 74.3 74.5 76.7 83.4 85.2 1992 87.0 83.3 85.6 83.1 80.7 73.5 72.3 74.6 78.0 76.5 81.8 84.7 1993 86.5 83.9 84.4 81.2 76.4 73.3 74.9 72.9 75.8 78.7 90.0 91.2 1994 92.9 92.3 92.6 88.4 84.7 74.7 72.7 82.0 79.0 83.4 88.4 92.1 1995 92.1 90.8 89.7 87.2 82.8

  20. Percent of Commercial Natural Gas Deliveries in Utah Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1991 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1992 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1994 83.8 85.2 82.9 82.4 77.7 77.9 76.4

  1. Percent of Commercial Natural Gas Deliveries in Wyoming Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 99.8 99.6 99.7 99.7 1990 99.7 99.7 99.7 99.8 99.7 99.7 99.6 99.6 99.5 99.5 99.7 99.7 1991 99.9 99.9 99.4 98.9 99.0 98.2 97.4 98.3 97.2 98.4 98.6 98.5 1992 98.6 98.1 97.8 98.4 97.9 97.2 96.5 97.1 97.4 97.2 98.2 98.3 1993 98.8 98.2 98.4 98.1 98.2 96.9 97.1 96.5 95.0 97.1 97.2 99.0 1994 98.1 96.0 96.9 97.3 95.2 91.7 93.4 92.1 93.5 95.6 96.1 96.8 1995 88.4 98.2 93.6 92.4 89.2

  2. Percent of Industrial Natural Gas Deliveries in New Jersey Represented by

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

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 29.3 31.1 27.6 21.9 21.2 19.6 18.6 15.6 18.5 16.8 15.6 21.1 2002 23.5 22.2 23.5 21.5 18.7 18.3 17.4 16.9 18.0 18.5 22.1 26.0 2003 21.1 23.1 26.0 26.8 23.9 18.0 15.3 17.3 13.3 14.9 13.0 18.4 2004 19.5 22.5 18.1 16.6 15.0 13.7 11.6 15.1 13.6 13.6 15.4 18.5 2005 22.4 22.7 21.9 17.6 15.7 15.4 17.7 20.4 16.9 19.4 20.1 25.4 2006 23.6 22.4 21.6 19.0 17.0 16.3 18.5 19.1 15.6 16.6 19.9 21.8 2007 21.5 23.6 20.8 23.0 17.1

  3. Percent of Industrial Natural Gas Deliveries in U.S. Total Represented by

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

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 23.5 23.2 22.0 21.0 19.5 19.2 20.2 19.6 19.8 20.3 20.2 20.7 2002 20.3 20.5 20.2 26.3 23.9 25.5 24.0 22.5 22.5 21.7 21.8 23.1 2003 21.4 22.1 21.3 20.9 20.3 19.1 24.7 22.9 22.9 23.3 22.7 23.5 2004 23.1 23.6 22.8 23.3 23.4 25.0 24.9 24.0 22.8 22.6 23.5 24.5 2005 24.8 24.3 24.6 23.9 24.2 23.7 24.5 24.6 23.2 23.2 23.4 23.7 2006 23.7 23.7 23.8 23.5 23.8 23.3 23.6 23.7 22.0 22.9 23.0 23.4 2007 22.7 23.0 22.4 22.3 23.2

  4. Municipal solid waste generation in municipalities: Quantifying impacts of household structure, commercial waste and domestic fuel

    SciTech Connect (OSTI)

    Lebersorger, S.; Beigl, P.

    2011-09-15

    Waste management planning requires reliable data concerning waste generation, influencing factors on waste generation and forecasts of waste quantities based on facts. This paper aims at identifying and quantifying differences between different municipalities' municipal solid waste (MSW) collection quantities based on data from waste management and on socio-economic indicators. A large set of 116 indicators from 542 municipalities in the Province of Styria was investigated. The resulting regression model included municipal tax revenue per capita, household size and the percentage of buildings with solid fuel heating systems. The model explains 74.3% of the MSW variation and the model assumptions are met. Other factors such as tourism, home composting or age distribution of the population did not significantly improve the model. According to the model, 21% of MSW collected in Styria was commercial waste and 18% of the generated MSW was burned in domestic heating systems. While the percentage of commercial waste is consistent with literature data, practically no literature data are available for the quantity of MSW burned, which seems to be overestimated by the model. The resulting regression model was used as basis for a waste prognosis model (Beigl and Lebersorger, in preparation).

  5. Percent of Commercial Natural Gas Deliveries in Alabama Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 84.0 82.5 89.4 90.6 83.8 86.2 55.5 83.6 78.9 84.4 78.4 85.7 1990 86.9 82.1 80.0 76.8 74.9 79.8 76.8 73.3 76.5 78.0 69.7 81.4 1991 82.2 87.0 87.9 83.2 84.0 85.4 85.7 81.3 75.8 74.4 75.5 81.7 1992 83.7 86.8 84.0 83.2 79.0 77.6 75.3 74.7 74.4 73.2 74.2 80.6 1993 84.1 85.3 85.8 84.0 79.8 76.8 75.9 74.0 74.4 71.3 74.7 79.3 1994 86.1 87.7 84.1 83.1 78.0 76.5 74.8 71.8 64.7 70.0 73.6 76.7 1995 82.5 85.7 85.8 81.4 77.5 75.7

  6. Percent of Commercial Natural Gas Deliveries in Arkansas Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 95.3 95.6 95.9 94.3 91.3 91.5 87.2 86.2 88.2 87.5 90.7 93.4 1990 95.8 94.8 93.7 93.2 90.7 88.8 88.4 86.9 87.4 86.8 90.6 91.5 1991 93.8 94.7 96.1 91.0 87.7 85.1 84.8 85.5 85.9 86.5 90.5 92.3 1992 93.0 94.7 91.3 92.7 88.4 87.0 85.9 85.4 86.4 87.6 88.7 90.8 1993 92.5 93.0 92.8 91.8 87.6 84.2 85.9 84.7 85.7 87.8 92.7 98.7 1994 93.9 95.9 95.4 94.8 91.2 91.7 94.2 94.3 96.6 95.3 96.4 97.4 1995 97.2 98.0 96.3 95.1 93.3 93.1

  7. Percent of Commercial Natural Gas Deliveries in Colorado Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 98.0 98.1 98.3 97.8 97.3 97.3 95.0 91.8 95.8 95.6 96.9 97.2 1990 98.1 98.0 97.9 97.6 97.3 97.4 94.7 94.5 95.5 94.6 97.0 97.0 1991 96.8 97.1 96.1 96.2 96.9 97.2 93.7 93.9 93.6 92.3 94.7 96.3 1992 96.7 96.7 95.9 95.7 95.1 96.0 94.2 93.3 93.6 91.2 93.7 96.2 1993 96.6 96.4 96.5 95.8 95.2 95.5 93.0 93.1 95.2 90.6 94.1 95.9 1994 95.9 96.1 95.7 94.9 95.3 94.3 91.2 91.7 93.1 91.5 93.2 95.5 1995 95.9 96.0 95.1 94.3 95.1 95.5

  8. Percent of Commercial Natural Gas Deliveries in Georgia Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 96.6 93.6 89.7 88.2 85.3 81.7 80.7 80.2 83.0 86.4 89.4 96.8 1990 96.5 90.3 88.7 86.9 82.0 80.9 80.1 82.5 78.9 84.3 87.9 94.1 1991 92.1 90.7 88.8 84.7 81.6 79.7 79.6 80.3 78.8 82.8 90.7 92.5 1992 90.8 90.6 89.3 88.2 85.0 82.7 79.7 83.3 83.4 84.6 87.9 92.9 1993 91.5 92.9 94.6 90.9 86.5 83.0 85.4 84.9 85.6 86.0 91.2 93.0 1994 97.0 94.9 92.4 90.3 89.3 86.8 87.9 89.0 86.1 88.6 91.6 92.6 1995 96.1 97.1 93.3 90.7 89.7 88.4

  9. Percent of Commercial Natural Gas Deliveries in Idaho Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 88.9 90.2 90.6 89.0 82.8 85.9 86.8 83.0 84.1 79.3 84.6 87.4 1990 91.5 90.4 89.7 87.7 85.8 88.1 86.1 85.2 85.0 79.3 86.3 86.4 1991 91.0 91.7 88.5 87.4 87.4 86.8 84.7 84.0 82.9 73.6 85.1 87.5 1992 89.4 89.0 87.1 85.2 83.1 80.2 81.0 82.4 80.2 77.9 82.2 88.3 1993 89.4 89.9 91.0 87.9 87.4 82.3 82.8 81.3 79.2 77.7 81.5 87.8 1994 87.8 88.6 88.1 85.9 83.2 82.7 84.2 80.1 80.6 79.4 84.1 87.6 1995 89.7 89.1 86.5 85.5 86.0 85.3

  10. Percent of Commercial Natural Gas Deliveries in Illinois Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 71.8 73.5 69.8 69.6 67.5 59.7 50.2 47.4 62.4 64.5 68.9 74.5 1990 65.6 65.7 60.2 55.3 52.9 40.6 40.7 41.8 44.5 54.6 52.2 63.6 1991 66.1 62.7 61.0 56.7 49.1 45.4 39.4 43.5 55.0 54.8 60.4 60.3 1992 63.0 58.2 59.5 57.5 53.0 43.4 44.4 49.2 47.0 55.5 60.5 59.9 1993 61.0 58.4 58.3 56.3 51.5 43.4 42.9 38.3 50.0 50.2 53.7 56.0 1994 59.1 59.9 58.0 49.9 46.5 37.8 36.1 36.3 39.7 47.5 49.9 52.0 1995 54.8 53.2 52.9 49.3 40.2 42.9

  11. Percent of Commercial Natural Gas Deliveries in Indiana Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 94.1 93.9 94.3 92.6 92.6 97.2 96.7 96.8 89.1 91.9 97.7 98.9 1990 99.2 98.5 93.4 90.1 92.1 90.6 92.2 89.7 88.4 91.8 98.4 98.6 1991 94.2 93.3 93.2 93.2 92.6 89.2 89.9 89.6 92.6 98.5 97.9 95.4 1992 93.6 92.4 98.6 99.1 99.7 99.9 92.8 99.6 91.9 99.8 99.9 98.0 1993 94.5 94.1 99.6 99.5 100.0 91.9 90.4 91.1 92.9 90.7 92.2 96.1 1994 94.1 97.5 93.7 91.5 88.4 85.6 84.6 85.9 84.3 86.7 91.3 91.4 1995 89.7 89.9 89.5 87.0 83.4 76.1

  12. Percent of Commercial Natural Gas Deliveries in Iowa Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 98.4 98.4 98.5 98.0 97.0 96.3 95.4 95.0 95.2 96.6 97.6 98.3 1990 98.5 98.2 98.1 97.8 97.3 96.3 95.3 95.6 92.3 95.5 97.5 97.7 1991 98.4 98.4 98.2 97.3 96.7 95.7 94.9 91.5 96.0 96.3 98.5 98.0 1992 97.6 97.4 96.5 96.2 94.3 93.2 91.3 90.6 88.7 91.0 96.1 96.7 1993 96.6 96.6 95.8 96.4 92.9 90.8 90.2 88.3 88.9 92.8 95.2 93.2 1994 92.9 94.3 91.2 90.5 87.9 84.1 81.3 80.0 80.5 86.0 90.4 91.0 1995 91.7 92.0 91.1 88.8 86.1 81.9

  13. Percent of Commercial Natural Gas Deliveries in Kansas Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 94.8 94.4 94.1 94.6 92.9 89.2 93.7 94.7 91.8 88.9 88.2 92.9 1990 92.7 90.8 90.6 92.6 91.6 93.1 94.3 94.0 93.3 87.0 88.0 89.4 1991 92.5 91.6 87.9 91.2 88.5 87.1 91.3 89.7 86.9 82.0 87.7 85.3 1992 82.9 83.8 83.9 86.8 88.8 86.8 88.4 88.9 86.9 81.1 78.0 82.7 1993 84.3 83.1 86.1 84.4 85.3 83.0 84.4 86.3 81.3 72.2 75.5 79.9 1994 82.2 85.6 82.3 75.3 69.9 70.4 70.9 71.5 71.9 77.1 83.9 79.5 1995 87.8 73.6 83.2 69.5 62.9 64.8

  14. Percent of Commercial Natural Gas Deliveries in Kentucky Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 97.1 96.6 96.4 94.9 91.0 89.2 89.5 88.2 89.8 90.7 94.4 97.0 1990 97.2 96.9 96.3 94.8 91.6 91.6 89.5 89.5 89.1 93.3 95.0 96.2 1991 97.1 95.7 94.7 89.8 86.4 85.5 87.5 88.0 91.1 91.5 95.7 95.5 1992 95.4 94.2 93.6 91.9 87.9 86.9 86.7 87.4 87.9 93.0 94.6 94.9 1993 91.6 91.6 95.3 93.5 92.4 93.5 89.9 81.6 88.1 88.5 94.5 95.4 1994 93.6 95.9 94.6 92.1 88.2 85.4 83.0 83.5 83.4 87.6 87.9 89.9 1995 90.8 91.2 89.9 86.3 87.4 80.6

  15. Percent of Commercial Natural Gas Deliveries in Maryland Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 97.1 96.6 97.1 96.7 95.9 95.1 94.3 94.7 94.1 94.2 94.6 96.8 1990 97.6 97.1 96.0 95.7 94.3 94.5 93.6 93.1 92.6 93.3 94.7 95.6 1991 97.3 97.5 97.1 96.6 95.9 94.8 94.5 94.7 94.1 95.8 96.5 97.4 1992 97.2 97.2 96.3 95.6 94.1 92.8 93.1 92.7 94.1 95.0 97.0 97.4 1993 97.3 97.4 96.5 96.3 94.6 96.2 95.0 93.4 93.4 95.4 97.1 98.1 1994 98.1 98.3 98.2 95.8 95.8 95.4 95.2 94.1 95.2 96.2 96.5 97.8 1995 97.9 98.5 97.8 96.7 95.9 96.2

  16. Percent of Commercial Natural Gas Deliveries in Michigan Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 75.8 74.5 76.0 71.7 64.9 47.6 51.7 50.8 57.5 64.4 69.5 73.5 1990 73.1 74.0 74.5 72.3 67.4 58.1 49.6 51.5 52.2 62.1 70.1 74.6 1991 73.0 72.2 72.4 67.3 62.1 51.2 44.3 41.2 47.5 60.1 87.2 70.0 1992 73.7 74.5 71.4 70.5 66.6 55.5 48.5 51.6 49.9 61.1 68.6 73.1 1993 74.5 72.3 72.6 68.0 63.7 51.6 50.5 54.4 50.9 63.1 68.1 73.1 1994 73.7 71.6 70.8 66.3 60.1 45.7 41.7 42.3 45.4 55.4 63.4 69.8 1995 72.5 72.2 71.2 68.0 61.5 45.8

  17. Percent of Commercial Natural Gas Deliveries in Missouri Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 94.4 93.9 94.4 93.2 90.7 85.8 86.1 90.5 86.9 88.8 90.3 92.3 1990 93.7 90.7 89.2 88.2 82.5 77.4 70.9 70.8 72.6 74.8 83.8 85.9 1991 90.8 91.1 89.1 82.1 79.0 75.4 71.1 72.2 75.1 75.6 85.9 88.5 1992 89.7 90.1 89.1 88.1 82.7 80.6 71.9 75.8 74.5 76.1 81.0 87.2 1993 87.5 89.2 89.8 88.1 78.0 74.7 72.2 69.2 74.3 73.4 82.3 85.9 1994 88.8 87.2 87.6 85.1 79.0 75.0 70.2 70.0 68.2 70.2 77.0 82.0 1995 87.0 88.9 87.2 83.3 80.9 75.0

  18. Percent of Commercial Natural Gas Deliveries in Montana Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 98.3 98.9 98.8 98.6 97.4 96.8 96.4 96.3 96.3 97.5 97.9 98.1 1990 97.9 97.8 97.6 98.6 96.9 98.4 96.3 95.8 93.3 96.9 97.6 99.6 1991 98.5 98.1 98.0 97.7 97.8 96.9 95.8 95.8 95.8 96.3 96.5 97.2 1992 97.1 98.0 96.7 96.5 96.6 94.9 95.4 96.8 90.6 92.0 92.8 94.6 1993 95.4 94.0 94.9 93.9 94.9 91.1 91.2 91.2 87.5 88.8 91.5 93.5 1994 92.7 93.0 92.7 91.8 91.9 89.6 88.7 87.8 87.5 89.0 91.2 93.1 1995 93.0 92.5 92.5 91.9 92.0 90.1

  19. Percent of Commercial Natural Gas Deliveries in Nebraska Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 96.8 96.5 97.1 99.8 99.7 99.8 99.9 99.9 99.7 98.8 98.1 98.5 1990 95.6 95.3 94.1 93.2 92.3 89.6 96.9 94.2 93.0 90.2 89.9 93.5 1991 93.6 93.3 91.8 87.9 85.4 88.2 96.4 95.2 85.8 86.1 90.5 91.4 1992 91.7 91.6 89.9 90.9 88.7 81.7 85.6 83.6 80.5 84.5 87.1 90.9 1993 94.1 94.7 94.5 93.4 89.5 88.4 88.1 87.8 82.9 85.2 84.8 92.0 1994 88.2 88.9 85.8 82.3 79.2 72.9 75.9 77.8 65.1 62.2 73.5 80.7 1995 81.4 80.6 79.2 79.8 76.0 71.8

  20. Percent of Commercial Natural Gas Deliveries in Nevada Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 98.0 98.1 96.9 95.0 94.2 94.3 92.7 91.7 91.2 96.2 97.2 98.8 1990 99.1 99.4 97.7 97.0 96.4 96.7 95.7 95.0 95.1 96.8 98.4 99.1 1991 99.4 99.4 94.3 92.2 90.6 87.2 84.0 85.2 79.5 84.3 82.2 89.0 1992 90.6 89.5 88.3 87.2 83.7 84.0 84.8 81.4 82.7 88.9 88.5 95.4 1993 97.0 96.0 94.3 91.0 92.5 90.6 89.7 86.7 89.6 89.7 90.9 93.5 1994 93.8 89.3 86.1 81.3 80.1 79.6 76.4 74.5 76.4 73.9 76.7 81.4 1995 81.5 83.2 77.4 78.9 77.1 76.5

  1. Percent of Commercial Natural Gas Deliveries in New York Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 90.4 90.1 89.3 85.0 85.4 81.3 78.6 78.2 73.6 74.8 82.4 89.7 1990 90.5 92.3 85.6 85.3 78.9 77.8 80.2 80.1 76.5 75.8 80.7 81.5 1991 86.2 85.4 84.4 81.0 75.8 72.8 76.8 75.1 73.1 75.0 79.5 81.1 1992 81.0 78.9 79.5 77.3 72.4 70.9 72.9 69.3 69.3 76.0 82.6 81.5 1993 81.4 81.5 82.3 77.8 71.3 66.2 69.1 72.1 72.8 74.1 77.9 77.2 1994 83.7 83.4 83.3 77.7 73.4 73.2 74.7 73.4 75.1 76.4 78.0 81.9 1995 80.8 82.8 79.3 76.3 71.7 66.5

  2. Percent of Commercial Natural Gas Deliveries in Ohio Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 87.4 88.1 87.1 86.0 81.2 74.4 75.5 75.0 78.9 85.1 87.8 90.3 1990 89.9 89.2 89.9 86.4 82.4 78.5 77.0 75.6 77.7 83.0 87.9 91.4 1991 91.6 90.0 87.2 83.6 78.6 74.7 75.5 73.7 75.6 82.6 87.8 89.8 1992 89.1 88.0 88.4 85.7 78.9 73.9 72.0 73.5 73.1 84.2 85.7 88.5 1993 89.4 87.0 86.9 83.8 76.1 73.9 74.6 69.4 72.6 82.8 84.5 86.3 1994 87.4 86.5 84.9 78.4 75.9 70.5 66.7 67.5 66.5 75.1 78.7 81.5 1995 81.0 80.0 78.6 76.8 67.8 61.4

  3. Percent of Commercial Natural Gas Deliveries in Oklahoma Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 89.7 90.2 91.7 87.9 89.1 86.6 86.7 85.0 86.8 86.5 89.1 91.2 1990 94.8 93.2 92.0 93.2 92.6 90.6 89.1 89.5 88.5 87.8 89.9 90.6 1991 94.6 95.1 92.9 91.4 90.3 88.7 87.1 85.6 86.8 81.2 87.6 90.6 1992 91.6 92.3 87.7 90.9 85.4 84.1 80.2 85.7 84.3 85.3 86.9 88.1 1993 91.8 92.0 91.7 90.9 89.1 83.1 80.5 82.2 83.4 83.1 91.5 91.9 1994 90.7 93.8 93.1 89.6 88.0 81.3 74.6 73.8 76.1 78.1 85.0 91.2 1995 90.7 89.8 89.7 85.3 84.9 79.3

  4. Percent of Commercial Natural Gas Deliveries in Oregon Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 99.1 99.2 98.7 98.3 97.6 97.6 97.0 97.2 97.4 96.7 97.3 98.0 1990 98.2 98.6 98.4 97.4 97.4 97.5 96.6 96.6 96.9 95.6 96.5 98.1 1991 98.7 98.3 97.8 97.7 97.5 98.0 97.3 97.2 97.2 95.9 97.6 98.0 1992 98.6 98.4 97.4 97.7 97.7 97.8 97.9 96.7 97.8 94.6 97.4 98.4 1993 98.6 99.0 98.5 98.0 97.6 97.8 97.6 97.5 97.3 93.6 96.5 98.2 1994 98.5 98.6 98.3 97.4 97.6 97.7 98.1 97.7 97.9 97.0 97.8 98.6 1995 98.5 98.5 98.2 98.2 97.9 97.8

  5. Percent of Commercial Natural Gas Deliveries in Texas Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 87.2 92.4 93.7 92.5 90.6 89.6 93.3 91.2 83.1 87.3 87.9 93.2 1990 91.1 90.1 83.9 90.5 90.3 92.3 90.3 90.7 89.1 87.4 88.0 91.5 1991 92.1 91.3 91.8 92.1 87.7 91.4 91.1 90.4 87.3 80.7 84.8 87.6 1992 86.9 85.6 83.4 83.6 79.5 77.8 77.0 75.9 71.9 72.4 75.3 78.6 1993 85.5 86.7 85.6 85.2 80.1 81.0 82.7 85.1 80.7 81.1 84.2 84.0 1994 82.1 81.6 84.0 83.6 73.8 81.6 88.8 82.6 83.3 75.1 78.9 89.0 1995 72.8 71.3 73.6 70.2 55.0 72.7

  6. Percent of Commercial Natural Gas Deliveries in Virginia Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 98.3 98.4 98.1 97.1 96.4 96.4 93.9 94.1 95.4 93.3 96.4 97.9 1990 97.2 95.9 90.6 86.6 94.2 93.9 94.1 91.9 92.0 92.9 92.5 93.7 1991 95.9 96.9 95.2 93.6 91.8 90.8 91.3 89.5 90.2 92.6 90.9 93.5 1992 94.6 93.3 93.7 91.7 88.9 88.4 86.9 85.9 83.8 89.9 86.6 90.3 1993 90.2 91.8 89.8 87.6 90.1 87.6 85.4 77.2 85.9 79.8 88.8 93.2 1994 95.2 97.2 92.5 82.7 85.1 76.7 82.4 72.9 72.9 76.1 79.4 86.1 1995 90.8 90.0 88.7 77.6 76.2 74.7

  7. Percent of Industrial Natural Gas Deliveries in Alabama Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 26.4 25.4 21.7 22.1 19.5 21.1 21.0 21.8 21.4 20.8 22.1 21.9 2002 24.1 22.3 22.5 20.1 18.3 19.6 20.7 21.4 20.0 21.4 24.2 23.5 2003 22.3 22.2 23.9 21.3 20.5 20.8 21.8 18.1 19.7 19.6 21.6 22.3 2004 22.6 23.2 21.9 19.9 20.2 20.8 19.1 19.9 19.1 19.7 20.2 21.8 2005 22.9 23.8 21.3 23.1 23.1 22.6 24.8 22.8 26.3 23.5 23.2 26.2 2006 22.8 23.1 22.4 24.1 23.9 22.2 22.5 23.0 23.4 24.5 24.6 25.6 2007 24.1 24.8 24.4 23.9 24.8 23.9

  8. Percent of Industrial Natural Gas Deliveries in Delaware Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 10.8 29.0 19.8 13.0 14.8 20.4 15.1 11.6 14.2 11.7 14.9 16.3 2002 18.4 19.6 20.4 17.5 21.7 15.6 11.9 9.9 8.0 8.6 10.6 10.3 2003 11.8 16.2 16.3 23.7 21.2 13.2 16.1 11.2 12.5 21.3 14.0 15.5 2004 10.7 11.4 12.2 12.8 9.4 14.4 11.1 12.1 11.5 12.2 10.9 12.8 2005 9.4 13.1 14.7 14.0 10.2 13.3 12.8 10.9 13.5 11.5 12.4 12.5 2006 10.7 9.8 9.6 11.0 8.9 6.2 7.6 7.5 8.5 9.3 8.3 10.7 2007 9.7 14.7 14.4 12.2 8.5 9.2 8.1 8.2 9.2 7.1 8.8

  9. Percent of Industrial Natural Gas Deliveries in Florida Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 6.1 4.5 3.5 4.7 5.9 3.6 1.9 2.9 2.5 2.5 3.3 4.0 2002 4.1 4.5 4.1 3.6 3.5 4.2 3.2 3.5 3.9 3.4 3.8 4.4 2003 4.2 5.9 4.4 3.9 3.5 3.7 3.3 2.6 3.7 3.2 4.4 3.3 2004 4.6 3.8 4.2 3.3 3.3 3.7 2.9 3.2 4.4 3.3 4.1 3.6 2005 2.7 4.1 3.8 3.4 3.1 3.2 3.4 3.5 3.4 3.7 3.5 3.6 2006 3.0 2.8 3.0 2.8 2.3 2.4 5.3 2.9 3.0 2.4 4.2 3.1 2007 2.6 3.1 3.5 2.3 2.9 4.0 2.8 2.6 3.6 2.5 3.7 3.6 2008 2.9 3.3 3.4 2.5 2.9 2.4 2.8 2.5 3.2 3.0 3.3 3.3

  10. Percent of Industrial Natural Gas Deliveries in Georgia Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 28.1 24.7 21.2 18.5 19.8 19.2 17.1 18.0 16.4 17.5 19.5 19.7 2002 20.2 20.6 21.4 19.5 18.0 19.2 17.7 17.9 18.5 18.2 19.4 19.5 2003 16.7 19.1 17.2 16.0 16.8 14.4 12.6 13.4 14.2 15.3 16.5 18.0 2004 18.2 17.2 17.4 15.5 14.9 15.8 15.9 15.1 15.6 13.9 14.0 22.4 2005 19.9 18.4 15.9 17.9 13.7 14.6 12.9 15.6 19.7 18.7 19.4 18.3 2006 18.3 25.0 17.2 12.5 12.7 16.7 15.2 16.2 15.7 18.0 17.8 17.0 2007 17.2 19.3 17.9 18.7 16.7 16.6

  11. Percent of Industrial Natural Gas Deliveries in Idaho Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 3.3 3.2 2.5 2.2 1.9 1.6 1.5 1.8 1.6 1.5 1.8 2.3 2002 2.7 2.9 2.7 2.5 0.9 1.9 1.8 2.0 1.4 1.6 1.3 2.3 2003 2.2 2.5 2.1 1.8 1.7 1.6 2.0 2.2 1.8 2.0 2.4 3.1 2004 3.2 2.9 2.8 2.0 2.1 2.0 1.9 1.9 1.6 1.5 2.5 3.2 2005 3.0 2.7 2.7 2.4 1.8 1.7 1.6 1.6 2.0 1.7 2.4 3.0 2006 2.5 2.6 2.3 2.0 1.8 1.5 1.6 1.6 1.5 2.0 2.3 2.6 2007 2.3 2.1 1.7 1.8 1.7 1.9 1.7 1.5 1.7 2.0 2.2 2.4 2008 2.2 2.3 2.4 1.8 1.4 1.7 1.6 1.9 1.4 1.8 2.3 2.1

  12. Percent of Industrial Natural Gas Deliveries in Illinois Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 14.3 14.6 11.7 8.9 7.1 6.7 5.8 6.1 7.5 8.7 10.3 12.1 2002 11.2 11.2 11.1 10.3 7.6 7.2 3.9 5.4 6.6 9.4 10.7 12.6 2003 13.4 13.4 12.9 9.2 7.9 6.9 5.7 7.6 5.3 9.1 10.5 10.6 2004 13.5 12.0 9.7 8.1 5.8 6.1 6.4 5.7 5.0 8.3 10.4 11.5 2005 12.9 11.8 10.7 8.2 6.0 4.7 6.3 6.0 6.8 10.6 11.6 12.5 2006 12.3 11.9 11.1 8.8 7.4 4.9 5.3 6.4 6.6 8.5 7.7 9.6 2007 11.5 12.7 12.8 10.6 10.3 7.8 6.0 5.4 6.4 7.5 7.7 10.4 2008 11.7 12.9 12.9

  13. Percent of Industrial Natural Gas Deliveries in Indiana Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 15.1 14.0 7.1 7.1 4.2 3.7 5.2 1.0 5.5 8.3 6.6 10.2 2002 8.4 8.1 10.1 6.4 5.3 6.2 5.3 5.9 6.6 12.5 12.6 12.4 2003 14.2 12.9 8.9 7.2 7.0 5.9 6.2 5.7 9.3 6.2 11.3 9.3 2004 9.2 8.9 8.9 6.9 6.4 6.2 6.9 6.5 7.3 7.9 10.4 11.6 2005 9.8 7.7 9.6 5.8 6.3 5.5 5.5 6.7 8.2 8.2 10.6 8.9 2006 8.2 9.3 7.4 4.3 7.0 5.0 6.4 5.9 6.3 8.2 8.3 8.4 2007 9.3 9.4 5.8 7.6 6.1 5.5 6.0 5.0 6.9 6.8 9.5 9.1 2008 8.4 7.5 7.0 6.7 5.5 4.5 4.7 4.7 5.3

  14. Percent of Industrial Natural Gas Deliveries in Kansas Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 3.0 2.9 3.2 2.9 7.8 9.4 18.1 21.2 16.4 7.7 7.9 4.4 2002 5.0 5.1 6.6 13.0 12.4 16.1 22.4 18.5 11.6 5.7 4.3 4.3 2003 2.4 3.4 3.2 8.2 11.0 6.9 14.8 21.1 9.1 5.3 5.0 3.1 2004 2.7 2.8 4.6 10.3 9.4 14.0 13.4 11.0 9.2 2.6 2.4 2.3 2005 1.7 1.4 1.4 3.2 6.6 8.2 16.3 19.2 9.0 3.8 2.5 1.7 2006 1.7 2.0 3.2 5.7 9.4 12.9 16.2 16.9 9.4 3.6 2.1 2.1 2007 1.3 1.5 1.5 1.4 4.9 9.8 16.2 17.3 9.6 4.0 2.8 1.7 2008 1.6 1.5 2.7 7.5 10.4 13.4

  15. Percent of Industrial Natural Gas Deliveries in Kentucky Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 27.3 21.8 18.9 13.8 17.8 15.8 17.4 17.4 17.3 19.6 16.5 16.9 2002 16.8 18.2 18.9 17.2 15.5 16.5 18.0 19.1 16.3 18.0 18.8 18.4 2003 20.6 20.1 18.7 19.5 19.2 20.3 16.6 16.0 18.1 18.2 18.1 18.4 2004 18.8 18.3 16.3 16.0 14.6 16.6 16.2 15.2 15.5 15.6 17.5 20.3 2005 16.5 17.5 17.3 16.0 15.8 15.2 16.1 14.9 17.4 17.9 17.2 19.7 2006 15.6 16.9 17.6 14.8 14.9 14.2 16.0 15.7 14.6 15.7 15.5 17.6 2007 16.6 18.1 17.0 17.7 16.1 17.5

  16. Percent of Industrial Natural Gas Deliveries in Maryland Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 15.4 11.4 9.7 7.2 6.7 4.5 9.7 6.3 6.3 7.0 6.6 10.3 2002 10.3 11.3 13.0 5.3 5.8 6.0 4.5 5.8 4.3 6.9 7.1 11.9 2003 10.5 13.2 11.4 9.1 7.8 6.6 6.3 6.2 7.1 12.1 11.9 12.9 2004 11.2 10.7 8.8 9.1 6.4 4.7 5.0 5.6 7.2 7.2 9.4 10.9 2005 11.3 11.5 11.3 9.8 5.5 5.1 4.9 5.3 5.2 6.2 9.4 10.7 2006 8.7 10.4 8.9 6.1 4.5 4.4 3.7 3.9 6.5 5.8 7.7 9.2 2007 13.1 13.7 11.0 9.9 6.1 3.7 4.5 3.8 6.9 3.5 8.4 10.4 2008 9.5 10.4 7.5 6.6 4.7 3.1

  17. Percent of Industrial Natural Gas Deliveries in Michigan Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 18.6 17.2 15.3 13.3 9.0 5.7 5.4 5.8 6.0 7.3 9.9 12.0 2002 14.4 13.3 14.0 11.4 8.1 5.7 4.3 5.2 3.9 6.5 10.9 17.6 2003 15.4 14.6 15.1 11.9 8.7 5.9 6.1 3.8 6.7 6.9 9.6 14.4 2004 14.6 15.9 18.0 11.4 7.4 5.7 5.0 4.9 5.0 6.1 9.2 13.3 2005 14.3 17.0 15.8 10.7 8.1 5.3 4.0 3.8 4.6 7.2 9.8 13.8 2006 15.4 16.4 13.5 10.8 7.3 5.1 3.8 4.5 5.2 7.0 10.6 13.6 2007 14.8 17.3 16.9 13.5 11.5 8.4 6.3 6.0 6.2 7.4 11.4 16.6 2008 16.4 17.4

  18. Percent of Industrial Natural Gas Deliveries in Missouri Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 25.6 17.3 19.1 14.4 11.1 10.2 9.5 8.1 9.5 10.2 12.4 32.9 2002 21.7 26.8 26.8 15.8 10.2 9.8 9.3 9.8 10.9 9.0 14.0 18.7 2003 18.8 21.0 19.0 13.6 12.1 12.4 12.5 8.8 10.3 11.1 13.1 16.8 2004 17.4 20.0 16.1 14.7 11.4 10.1 9.6 9.7 10.5 11.0 12.6 15.4 2005 20.1 18.4 16.4 13.9 11.9 9.6 10.1 9.4 10.5 11.2 13.0 17.9 2006 17.2 17.0 14.8 13.7 10.5 10.2 9.9 9.6 10.2 10.8 13.2 16.7 2007 15.4 18.5 16.7 12.3 10.6 10.1 9.7 8.4 8.7 10.3

  19. Percent of Industrial Natural Gas Deliveries in Montana Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 3.0 3.1 2.8 2.6 2.3 1.9 0.9 0.8 1.0 1.2 1.9 3.0 2002 3.0 2.9 3.6 2.3 2.0 1.2 0.9 0.7 0.8 1.1 2.1 3.4 2003 2.9 2.8 3.3 2.1 1.8 1.0 1.0 0.8 0.8 0.6 1.2 1.6 2004 1.8 2.4 1.9 1.0 1.5 1.4 1.1 0.7 0.8 1.1 1.8 2.4 2005 3.1 2.9 2.2 2.3 1.8 1.4 0.9 0.6 0.7 1.0 1.3 2.3 2006 1.3 1.0 1.1 0.9 0.6 0.4 0.2 0.1 0.2 0.3 0.6 1.0 2007 1.0 1.2 0.9 0.9 0.5 0.4 0.3 0.3 0.4 0.5 0.7 1.0 2008 1.3 1.4 1.8 1.1 0.9 0.5 0.6 0.5 0.5 0.4 0.8 0.9

  20. Percent of Industrial Natural Gas Deliveries in Nebraska Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 25.7 29.6 30.3 21.0 19.7 16.7 8.3 12.9 13.3 18.6 12.0 18.7 2002 22.6 19.5 29.3 17.6 15.0 24.0 7.4 8.4 8.8 16.4 18.9 19.6 2003 20.3 22.7 24.9 19.3 17.1 24.1 8.7 9.7 10.9 15.7 17.7 19.4 2004 19.7 21.4 24.7 19.0 18.3 14.2 9.2 10.6 16.5 18.8 16.0 16.6 2005 24.4 20.0 24.6 18.5 19.0 18.2 10.0 8.6 12.9 15.1 14.2 18.3 2006 13.8 15.1 17.1 13.3 13.0 9.8 8.3 7.7 10.5 11.5 10.2 12.4 2007 12.1 13.0 14.5 11.6 9.7 8.9 7.1 6.4 6.9 9.8

  1. Percent of Industrial Natural Gas Deliveries in Nevada Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 32.2 25.0 16.8 19.7 13.2 12.9 38.9 31.5 31.7 41.7 48.4 68.2 2002 58.3 44.3 59.1 37.8 44.2 40.0 17.5 18.2 19.5 21.2 23.0 28.8 2003 25.6 28.9 20.3 22.8 14.8 13.2 13.6 11.9 12.5 15.8 23.9 21.7 2004 21.4 23.6 14.9 15.1 12.4 11.3 10.7 11.5 13.4 15.9 20.9 22.6 2005 24.3 25.3 17.8 18.4 14.8 14.1 9.6 12.3 13.6 15.9 18.3 19.5 2006 20.9 21.8 22.3 14.7 14.8 11.9 11.7 10.6 11.5 16.9 16.6 23.7 2007 22.1 26.8 17.9 16.6 14.8 11.6

  2. Percent of Industrial Natural Gas Deliveries in New York Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 13.3 14.8 13.4 11.3 10.4 10.0 9.2 10.2 4.2 4.8 15.5 9.7 2002 12.2 12.1 11.1 11.1 11.9 10.9 9.4 10.4 13.5 7.7 9.4 11.2 2003 11.5 11.6 12.1 10.9 10.9 12.3 10.5 12.0 8.0 5.8 10.5 10.1 2004 12.4 13.5 11.5 13.0 11.1 11.5 9.3 8.7 8.0 7.6 8.7 9.8 2005 17.0 16.9 17.4 14.3 10.2 11.1 15.9 16.5 14.3 11.9 12.4 14.8 2006 14.8 14.0 11.5 9.6 7.6 11.4 11.0 9.9 9.6 10.8 13.6 13.7 2007 13.5 18.5 12.7 13.3 10.1 7.8 10.2 9.0 11.0 9.7 11.2

  3. Percent of Industrial Natural Gas Deliveries in North Dakota Represented by

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

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 15.2 13.8 16.8 8.2 5.8 5.5 1.1 4.7 8.0 12.1 13.4 17.9 2002 9.8 10.6 12.6 10.1 7.4 4.8 5.1 5.2 6.7 11.6 14.4 13.2 2003 35.1 44.0 60.0 30.9 17.9 17.7 25.0 32.3 22.3 25.2 44.1 87.2 2004 54.7 46.4 57.3 56.1 36.3 16.0 13.5 58.7 63.2 58.6 55.3 53.4 2005 25.1 17.0 17.7 14.7 9.6 4.4 10.3 15.1 51.6 58.4 45.9 23.2 2006 26.1 18.4 28.8 53.1 58.6 61.2 13.1 13.9 43.4 56.3 52.6 19.1 2007 26.6 28.8 24.7 58.5 61.4 46.9 11.0 38.6

  4. Percent of Industrial Natural Gas Deliveries in Ohio Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 13.1 9.8 10.4 6.2 3.9 3.4 1.5 4.8 1.2 2.9 5.6 6.4 2002 5.4 6.2 5.4 4.8 1.9 1.7 1.6 2.1 2.5 2.3 4.9 6.7 2003 6.3 7.0 5.4 4.0 1.8 2.4 2.0 1.7 1.7 2.4 3.3 4.6 2004 5.1 5.7 4.0 3.8 2.1 2.3 1.7 2.3 2.2 2.7 3.4 4.5 2005 5.7 6.6 4.5 2.6 2.0 1.6 2.1 2.0 1.9 2.6 3.3 4.8 2006 4.6 4.7 4.0 2.7 2.1 2.2 2.2 2.1 2.2 2.2 3.0 3.5 2007 3.9 4.8 3.5 2.6 1.8 1.8 1.9 1.4 1.5 1.2 2.2 3.7 2008 3.9 4.2 3.5 2.5 1.1 1.7 1.9 1.4 1.4 1.6 2.7 4.1

  5. Percent of Industrial Natural Gas Deliveries in Oklahoma Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 9.5 7.8 6.3 4.6 2.7 3.0 2.6 2.5 2.3 2.0 3.3 3.3 2002 5.2 6.1 5.0 3.4 2.4 2.0 1.5 2.7 2.7 1.4 2.9 3.8 2003 3.2 4.0 5.9 2.4 1.4 2.8 2.3 1.3 0.4 1.3 1.4 2.3 2004 2.5 3.0 2.6 1.1 1.1 0.7 1.4 1.3 1.2 1.0 1.1 2.2 2005 2.6 2.4 1.8 5.3 0.8 0.5 0.7 0.3 0.5 0.6 1.1 2.0 2006 2.0 1.4 1.1 1.0 0.7 0.8 0.4 0.8 0.9 1.3 1.3 1.2 2007 1.7 1.9 1.1 0.5 0.8 0.7 0.5 0.5 0.6 1.0 0.8 1.1 2008 1.0 1.5 1.0 0.5 0.6 0.5 0.3 0.2 0.2 0.1 0.3 0.8

  6. Percent of Industrial Natural Gas Deliveries in Oregon Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 27.2 17.0 18.7 20.3 20.5 20.7 23.5 26.8 24.2 21.1 20.6 21.4 2002 18.9 20.8 20.3 19.3 12.6 11.1 10.1 8.9 10.8 11.5 12.6 12.8 2003 13.8 14.3 13.8 12.7 16.1 16.2 15.5 15.6 19.2 21.1 24.5 25.4 2004 25.1 24.3 24.2 23.3 21.8 22.9 22.6 22.1 23.8 23.5 31.1 33.4 2005 34.3 34.3 32.7 31.0 30.2 30.1 31.4 32.1 33.6 35.0 34.8 38.2 2006 36.0 36.3 35.1 26.5 25.4 24.3 23.2 21.2 21.6 20.5 21.5 24.0 2007 23.6 24.3 22.9 21.8 20.8 21.8

  7. Percent of Industrial Natural Gas Deliveries in Rhode Island Represented by

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

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 41.4 29.5 26.1 37.6 29.0 29.3 26.0 26.2 22.4 26.8 29.3 13.6 2002 27.3 27.3 27.3 27.3 27.3 27.3 27.3 27.3 27.3 27.3 27.3 27.3 2003 15.7 18.9 21.5 19.6 26.7 11.7 16.8 18.8 18.6 22.1 18.5 22.3 2004 13.9 16.7 14.5 16.8 21.1 11.7 16.7 15.3 16.0 19.4 10.5 23.0 2005 17.8 14.7 15.9 11.0 16.3 16.5 12.9 13.8 16.3 13.2 16.5 19.7 2006 18.6 18.7 16.4 15.0 12.5 13.3 8.8 10.5 11.4 12.8 10.5 15.7 2007 13.0 19.0 15.1 12.7 10.1 14.3

  8. Percent of Industrial Natural Gas Deliveries in South Dakota Represented by

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

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 51.1 54.8 52.4 50.8 35.1 32.7 28.6 26.5 24.1 33.3 45.5 44.5 2002 16.4 18.6 13.2 18.4 14.1 10.7 9.5 9.0 19.5 27.6 30.6 34.9 2003 26.3 24.4 27.3 26.0 23.9 22.4 24.7 23.3 25.3 24.8 26.8 29.1 2004 29.0 28.5 30.0 24.4 26.1 28.2 22.6 27.6 24.8 27.2 33.3 31.0 2005 28.5 28.0 33.6 26.7 31.6 26.1 28.9 31.7 27.8 30.4 33.3 35.8 2006 38.6 36.4 37.5 31.3 39.2 30.3 27.6 30.1 27.8 31.5 33.7 35.4 2007 33.8 31.8 31.3 15.2 16.2 12.1

  9. Percent of Industrial Natural Gas Deliveries in Texas Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 35.8 35.7 33.7 34.2 32.9 34.2 36.5 34.8 37.5 36.0 35.1 34.5 2002 30.8 32.1 30.6 50.7 45.4 50.5 49.5 46.5 46.3 43.4 43.8 44.8 2003 40.1 39.5 39.1 39.5 39.8 36.1 50.7 46.2 49.0 47.8 47.2 48.2 2004 48.4 49.3 46.7 49.4 49.0 51.9 51.3 49.9 47.4 46.0 46.6 48.9 2005 58.7 57.0 56.9 55.8 55.8 54.9 56.8 55.0 52.5 49.7 51.1 49.5 2006 52.1 52.1 54.8 55.6 55.3 54.7 58.1 57.4 54.1 57.9 56.5 55.6 2007 52.7 51.6 52.4 53.0 54.2 56.0

  10. Percent of Industrial Natural Gas Deliveries in Utah Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 11.9 9.2 10.7 10.1 9.5 9.5 10.1 11.5 9.4 9.2 11.0 13.8 2002 14.0 13.8 12.6 15.8 13.0 13.4 12.1 13.6 13.5 12.8 15.0 13.7 2003 14.5 14.6 13.1 14.9 14.1 13.2 11.8 12.7 13.8 13.9 13.2 13.1 2004 13.8 15.2 13.3 14.6 12.7 12.7 18.4 46.5 26.9 24.3 23.4 23.8 2005 18.4 18.6 18.4 17.7 18.6 21.3 20.0 21.2 21.3 21.5 18.3 19.9 2006 22.3 23.2 22.5 24.0 24.0 24.7 24.2 13.9 13.4 15.3 15.8 16.0 2007 14.4 13.6 14.4 14.6 13.3 12.7 14.5

  11. Percent of Industrial Natural Gas Deliveries in Vermont Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 95.2 80.1 79.2 79.2 69.2 67.8 65.6 67.7 70.7 73.3 76.0 79.0 2002 77.7 78.3 78.6 78.2 72.6 66.8 66.7 65.1 66.8 72.6 76.2 85.5 2003 87.3 100.0 100.0 75.7 74.2 72.4 75.0 67.7 70.4 73.2 77.4 80.1 2004 79.9 84.7 80.7 82.2 78.6 73.8 70.0 68.3 69.2 76.4 82.1 83.7 2005 83.6 86.4 82.6 78.0 74.4 71.5 72.1 83.9 94.3 82.4 75.7 96.4 2006 93.0 87.6 82.4 77.2 73.3 72.9 71.7 69.7 71.5 76.3 75.1 79.5 2007 83.0 84.1 81.8 76.2 72.2 71.7

  12. Percent of Industrial Natural Gas Deliveries in Virginia Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 27.4 24.1 20.8 18.6 13.3 23.5 10.9 12.9 15.0 24.1 11.2 15.4 2002 16.8 19.7 18.3 14.0 14.1 10.8 10.7 11.0 13.2 16.0 19.3 22.9 2003 25.6 22.5 16.5 23.9 12.9 9.1 13.4 19.6 12.6 17.7 17.9 17.0 2004 21.5 18.8 18.7 16.8 14.9 11.2 15.6 14.5 8.9 15.1 16.1 21.1 2005 18.3 21.6 18.1 19.3 15.7 16.6 9.5 11.6 16.0 18.7 21.5 20.0 2006 21.6 17.0 16.0 13.2 13.8 10.4 9.5 8.0 12.7 14.5 16.0 15.7 2007 17.0 20.0 17.1 17.2 15.4 9.5 10.3

  13. Percent of Industrial Natural Gas Deliveries in Wyoming Represented by the

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

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 3.6 3.9 3.7 2.8 1.9 2.1 1.8 2.0 2.0 2.3 2.2 1.8 2002 3.3 3.6 3.6 3.0 3.6 2.4 2.6 2.8 2.8 3.2 2.1 2.5 2003 2.4 2.4 2.1 1.8 1.4 1.4 1.4 1.3 1.4 1.4 2.2 2.0 2004 2.0 1.9 2.2 1.9 1.9 1.9 2.7 1.7 2.3 2.0 2.3 2.4 2005 2.8 5.0 5.8 4.5 4.1 3.5 2.8 2.5 2.5 2.8 4.2 4.4 2006 4.4 4.5 4.2 3.9 3.3 2.7 2.2 2.3 2.8 3.3 3.8 3.7 2007 4.3 4.1 3.4 3.7 2.8 2.0 1.5 1.7 1.9 2.9 3.3 3.3 2008 3.8 3.7 3.9 3.9 2.9 2.1 2.0 1.7 2.5 3.0 3.6 3.9

  14. Table HC1-3a. Housing Unit Characteristics by Household Income,

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

    3a. Housing Unit Characteristics by Household Income, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.6 1.3 1.1 1.0 0.9 1.4 1.0 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 33.8 3.3 Census Region and Division Northeast

  15. Laboratory Testing of Demand-Response Enabled Household Appliances

    SciTech Connect (OSTI)

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

    2013-10-01

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

  16. Laboratory Testing of Demand-Response Enabled Household Appliances

    SciTech Connect (OSTI)

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

    2013-10-01

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

  17. Drivers of U.S. Household Energy Consumption, 1980-2009 - Energy...

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

    This is equivalent to an average annual growth of 1.1% and 1.8%, respectively. As a result, the aggregate energy intensity per household and per square foot declined by 24.2% and ...

  18. EPA Webinar: Bringing Energy Efficiency and Renewable Housing to Low-Income Households

    Broader source: Energy.gov [DOE]

    Hosted by the U.S. Environmental Protection Agency, this webinar will explore the topic of linking and leveraging energy efficiency and renewable energy programs for limited-income households, including the need to coordinate with other energy assistance programs.

  19. Fact #748: October 8, 2012 Components of Household Expenditures on Transportation, 1984-2010

    Broader source: Energy.gov [DOE]

    The overall share of annual household expenditures for transportation was lower in 2010 than it was in 1984, reaching its lowest point in 2009 at 15.5%. In the early to mid-1980s when oil prices...

  20. How Do You Encourage Everyone in Your Household to Save Energy?

    Broader source: Energy.gov [DOE]

    Anyone who has decided to save energy at home knows that the entire household needs to be involved if you really want to see savings. Some people—be they roommates, spouses, children, or maybe even...

  1. Does size matter?

    SciTech Connect (OSTI)

    Carreras, B. A.; Physics Department, College of Natural Science and Mathematics and Geophysical Institute, University of Alaska, Fairbanks, Alaska 99775; Physics Department, Universidad Carlos III de Madrid, Madrid ; Newman, D. E.; Dobson, Ian

    2014-06-15

    Failures of the complex infrastructures society depends on having enormous human and economic cost that poses the question: Are there ways to optimize these systems to reduce the risks of failure? A dynamic model of one such system, the power transmission grid, is used to investigate the risk from failure as a function of the system size. It is found that there appears to be optimal sizes for such networks where the risk of failure is balanced by the benefit given by the size.

  2. Competition Helps Kids Learn About Energy and Save Their Households Some

    Energy Savers [EERE]

    Money | Department of Energy Competition Helps Kids Learn About Energy and Save Their Households Some Money Competition Helps Kids Learn About Energy and Save Their Households Some Money May 21, 2013 - 2:40pm Addthis Students can register now to save energy and win prizes with the Home Energy Challenge. Students can register now to save energy and win prizes with the Home Energy Challenge. Eric Barendsen Energy Technology Program Specialist, Office of Energy Efficiency and Renewable Energy

  3. Development of the household sample for furnace and boilerlife-cycle cost analysis

    SciTech Connect (OSTI)

    Whitehead, Camilla Dunham; Franco, Victor; Lekov, Alex; Lutz, Jim

    2005-05-31

    Residential household space heating energy use comprises close to half of all residential energy consumption. Currently, average space heating use by household is 43.9 Mbtu for a year. An average, however, does not reflect regional variation in heating practices, energy costs, or fuel type. Indeed, a national average does not capture regional or consumer group cost impacts from changing efficiency levels of heating equipment. The US Department of Energy sets energy standards for residential appliances in, what is called, a rulemaking process. The residential furnace and boiler efficiency rulemaking process investigates the costs and benefits of possible updates to the current minimum efficiency regulations. Lawrence Berkeley National Laboratory (LBNL) selected the sample used in the residential furnace and boiler efficiency rulemaking from publically available data representing United States residences. The sample represents 107 million households in the country. The data sample provides the household energy consumption and energy price inputs to the life-cycle cost analysis segment of the furnace and boiler rulemaking. This paper describes the choice of criteria to select the sample of houses used in the rulemaking process. The process of data extraction is detailed in the appendices and is easily duplicated. The life-cycle cost is calculated in two ways with a household marginal energy price and a national average energy price. The LCC results show that using an national average energy price produces higher LCC savings but does not reflect regional differences in energy price.

  4. Household energy use in urban Venezuela: Implications from surveys in Maracaibo, Valencia, Merida, and Barcelona-Puerto La Cruz

    SciTech Connect (OSTI)

    Figueroa, M.J.; Sathaye, J.

    1993-08-01

    This report identifies the most important results of a comparative analysis of household commercial energy use in Venezuelan urban cities. The use of modern fuels is widespread among all cities. Cooking consumes the largest share of urban household energy use. The survey documents no use of biomass and a negligible use of kerosene for cooking. LPG, natural gas, and kerosene are the main fuels available. LPG is the fuel choice of low-income households in all cities except Maracaibo, where 40% of all households use natural gas. Electricity consumption in Venezuela`s urban households is remarkably high compared with the levels used in households in comparable Latin American countries and in households of industrialized nations which confront harsher climatic conditions and, therefore, use electricity for water and space heating. The penetration of appliances in Venezuela`s urban households is very high. The appliances available on the market are inefficient, and there are inefficient patterns of energy use among the population. Climate conditions and the urban built form all play important roles in determining the high level of energy consumption in Venezuelan urban households. It is important to acknowledge the opportunities for introducing energy efficiency and conservation in Venezuela`s residential sector, particularly given current economic and financial constraints, which may hamper the future provision of energy services.

  5. NYSERDA's Green Jobs-Green New York Program: Extending Energy Efficiency Financing To Underserved Households

    SciTech Connect (OSTI)

    Zimring, Mark; Fuller, Merrian

    2011-01-24

    The New York legislature passed the Green Jobs-Green New York (GJGNY) Act in 2009. Administered by the New York State Energy Research and Development Authority (NYSERDA), GJGNY programs provide New Yorkers with access to free or low-cost energy assessments,1 energy upgrade services,2 low-cost financing, and training for various 'green-collar' careers. Launched in November 2010, GJGNY's residential initiative is notable for its use of novel underwriting criteria to expand access to energy efficiency financing for households seeking to participate in New York's Home Performance with Energy Star (HPwES) program.3 The GJGNY financing program is a valuable test of whether alternatives to credit scores can be used to responsibly expand credit opportunities for households that do not qualify for traditional lending products and, in doing so, enable more households to make energy efficiency upgrades.

  6. Aerosol mobility size spectrometer

    DOE Patents [OSTI]

    Wang, Jian; Kulkarni, Pramod

    2007-11-20

    A device for measuring aerosol size distribution within a sample containing aerosol particles. The device generally includes a spectrometer housing defining an interior chamber and a camera for recording aerosol size streams exiting the chamber. The housing includes an inlet for introducing a flow medium into the chamber in a flow direction, an aerosol injection port adjacent the inlet for introducing a charged aerosol sample into the chamber, a separation section for applying an electric field to the aerosol sample across the flow direction and an outlet opposite the inlet. In the separation section, the aerosol sample becomes entrained in the flow medium and the aerosol particles within the aerosol sample are separated by size into a plurality of aerosol flow streams under the influence of the electric field. The camera is disposed adjacent the housing outlet for optically detecting a relative position of at least one aerosol flow stream exiting the outlet and for optically detecting the number of aerosol particles within the at least one aerosol flow stream.

  7. Average U.S. household to spend $710 less on gasoline during 2015

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

    Average U.S. household to spend $710 less on gasoline during 2015 Even with the recent increases in gasoline prices, the average U.S. household is still expected save $710 in gasoline costs this year compared with what was paid at the pump in 2014. In its new monthly forecast, the U.S. Energy Information Administration said the national average price for regular gasoline is expected to be $2.39 per gallon this year. That's almost $1 less than the $3.36 average in 2014. Lower crude oil prices

  8. Average household expected to save $675 at the pump in 2015

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

    Average household expected to save $675 at the pump in 2015 Although retail gasoline prices have risen in recent weeks U.S. consumers are still expected to save about $675 per household in motor fuel costs this year. In its new monthly forecast, the U.S. Energy Information Administration says the average pump price for regular grade gasoline in 2015 will be $2.43 per gallon. That's about 93 cents lower than last year's average. The savings for consumers will be even bigger during the

  9. EERE Success Story-Kingston Creek Hydro Project Powers 100 Households |

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

    Department of Energy Kingston Creek Hydro Project Powers 100 Households EERE Success Story-Kingston Creek Hydro Project Powers 100 Households August 21, 2013 - 12:00am Addthis Nevada-based contracting firm Nevada Controls, LLC used a low-interest loan from the Nevada State Office of Energy's Revolving Loan Fund to help construct a hydropower project in the small Nevada town of Kingston. The Kingston Creek Project-benefitting the Young Brothers Ranch-is a 175-kilowatt hydro generation plant

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

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

    0 Home Appliances Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Home Appliances Usage Indicators"

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

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

    2 Home Electronics Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Home Electronics Usage Indicators"

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

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

    5 Space Heating Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Space Heating Usage Indicators" "Total U.S. Housing

  13. Drivers of U.S. Household Energy Consumption, 1980-2009

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

    Drivers of U.S. Household Energy Consumption, 1980-2009 February 2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Drivers of U.S. Household Energy Consumption, 1980-2009 i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any

  14. ARM - Measurement - Cloud droplet size

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

    droplet size Linear size (e.g. radius or diameter) of a cloud particle Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the...

  15. Impact of aerosol size representation on modeling aerosol-cloud interactions: AEROSOL SIZE REPRESENTATION

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

    Zhang, Y.; Easter, R. C.; Ghan, S. J.; Abdul-Razzak, H.

    2002-11-07

    We use a 1-D version of a climate-aerosol-chemistry model with both modal and sectional aerosol size representations to evaluate the impact of aerosol size representation on modeling aerosol-cloud interactions in shallow stratiform clouds observed during the 2nd Aerosol Characterization Experiment. Both the modal (with prognostic aerosol number and mass or prognostic aerosol number, surface area and mass, referred to as the Modal-NM and Modal-NSM) and the sectional approaches (with 12 and 36 sections) predict total number and mass for interstitial and activated particles that are generally within several percent of references from a high resolution 108-section approach. The modal approachmore » with prognostic aerosol mass but diagnostic number (referred to as the Modal-M) cannot accurately predict the total particle number and surface areas, with deviations from the references ranging from 7-161%. The particle size distributions are sensitive to size representations, with normalized absolute differences of up to 12% and 37% for the 36- and 12-section approaches, and 30%, 39%, and 179% for the Modal-NSM, Modal-NM, and Modal-M, respectively. For the Modal-NSM and Modal-NM, differences from the references are primarily due to the inherent assumptions and limitations of the modal approach. In particular, they cannot resolve the abrupt size transition between the interstitial and activated aerosol fractions. For the 12- and 36-section approaches, differences are largely due to limitations of the parameterized activation for non-log-normal size distributions, plus the coarse resolution for the 12-section case. Differences are larger both with higher aerosol (i.e., less complete activation) and higher SO2 concentrations (i.e., greater modification of the initial aerosol distribution).« less

  16. Comparison of energy expenditures by elderly and non-elderly households: 1975 and 1985

    SciTech Connect (OSTI)

    Siler, A.

    1980-05-01

    The relative position of the elderly in the population is examined and their characteristic use of energy in relation to the total population and their non-elderly counterparts is observed. The 1985 projections are based on demographic, economic, and socio-economic, and energy data assumptions contained in the 1978 Annual Report to Congress. The model used for estimating household energy expenditure is MATH/CHRDS - Micro-Analysis of Transfers to Households/Comprehensive Human Resources Data System. Characteristics used include households disposable income, poverty status, location by DOE region and Standard Metropolitan Statistical Area (SMSA), and race and sex of the household head as well as age. Energy use by fuel type will be identified for total home fuels, including electricity, natural gas, bottled gas and fuel oil, and for all fuels, where gasoline use is also included. Throughout the analysis, both income and expenditure-dollar amounts for 1975 and 1985 are expressed in constant 1978 dollars. Two appendices contain statistical information.

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

    SciTech Connect (OSTI)

    Letschert, Virginie; McNeil, Michael A.

    2009-03-23

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

  18. Fact #616: March 29, 2010 Household Vehicle-Miles of Travel by Trip Purpose

    Broader source: Energy.gov [DOE]

    In 2009, getting to and from work accounted for about 27% of household vehicle-miles of travel (VMT). Work-related business was 8.4% of VMT in 2001, but declined to 6.7% in 2009, possibly due to...

  19. Usage by Job Size Table

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

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

  20. The importance of China's household sector for black carbon emissions - article no. L12708

    SciTech Connect (OSTI)

    Streets, D.G.; Aunan, K.

    2005-06-30

    The combustion of coal and biofuels in Chinese households is a large source of black carbon (BC), representing about 10-15% of total global emissions during the past two decades, depending on the year. How the Chinese household sector develops during the next 50 years will have an important bearing on future aerosol concentrations, because the range of possible outcomes (about 550 Gg yr{sup -1}) is greater than total BC emissions in either the United States or Europe (each about 400-500 Gg yr{sup -1}). In some Intergovernmental Panel on Climate Change scenarios biofuels persist in rural China for at least the next 50 years, whereas in other scenarios a transition to cleaner fuels and technologies effectively mitigates BC emissions. This paper discusses measures and policies that would help this transition and also raises the possibility of including BC emission reductions as a post-Kyoto option for China and other developing countries.

  1. Guidance for growth factors, projections, and control strategies for the 15 percent rate-of-progress plans

    SciTech Connect (OSTI)

    Not Available

    1993-03-01

    Section 182(b)(1) of the Clean Air Act (Act) requires all ozone nonattainment areas classified as moderate and above to submit a State Implementation Plan (SIP) revision by November 15, 1993, which describes, in part, how the areas will achieve an actual volatile organic compound (VOC) emissions reduction of at least 15 percent during the first 6 years after enactment of the Clean Air Act Amendments of 1990 (CAAA). In addition, the SIP revision must describe how any growth in emissions from 1990 through 1996 will be fully offset. It is important to note that section 182(b)(1) also requires the SIP for moderate areas to provide for reductions in VOC and nitrogen oxides (NOx) emissions as necessary to attain the national primary ambient air quality standard for ozone by November 15, 1996. The guidance document focuses on the procedures for developing 1996 projected emissions inventories and control measures which moderate and above ozone nonattainment areas must include in their rate-of-progress plans. The document provides technical guidance to support the policy presented in the 'General Preamble: Implementation of Title I of the CAAA of 1990' (57 FR 13498).

  2. Thermal performance measurements of a 100 percent polyester MLI (multilayer insulation) system for the Superconducting Super Collider

    SciTech Connect (OSTI)

    Boroski, W.N.; Gonczy, J.D.; Niemann, R.C.

    1989-09-01

    Thermal performance measurements of a 100 percent polyester multilayer insulation (MLI) system for the Superconducting Super Collider (SSC) were conducted in a Heat Leak Test Facility (HLTF) under three experimental test arrangements. Each experiment measured the thermal performance of a 32-layer MLI blanket instrumented with twenty foil sensors to measure interstitial layer temperatures. Heat leak values and sensor temperatures were monitored during transient and steady state conditions under both design and degraded insulating vacuums. Heat leak values were measured using a heatmeter. MLI interstitial layer temperatures were measured using Cryogenic Linear Temperature Sensors (CLTS). Platinum resistors monitored system temperatures. High vacuum was measured using ion gauges; degraded vacuum employed thermocouple gauges. A four-wire system monitored instrumentation sensors and calibration heaters. An on-line computerized data acquisition system recorded and processes data. This paper reports on the instrumentation and experimental preparation used in carrying out these measurements. In complement with this paper is an associate paper bearing the same title head, but with the title extension Part 2: Laboratory results (300K--80K). 13 refs., 7 figs.

  3. Evaluation of bulk paint worker exposure to solvents at household hazardous waste collection events

    SciTech Connect (OSTI)

    Cameron, M.

    1995-09-01

    In fiscal year 93/94, over 250 governmental agencies were involved in the collection of household hazardous wastes in the State of California. During that time, over 3,237,000 lbs. of oil based paint were collected in 9,640 drums. Most of this was in lab pack drums, which can only hold up to 20 one gallon cans. Cost for disposal of such drums is approximately $1000. In contrast, during the same year, 1,228,000 lbs. of flammable liquid were collected in 2,098 drums in bulk form. Incineration of bulked flammable liquids is approximately $135 per drum. Clearly, it is most cost effective to bulk flammable liquids at household hazardous waste events. Currently, this is the procedure used at most Temporary Household Hazardous Waste Collection Facilities (THHWCFs). THHWCFs are regulated by the Department of Toxic Substances Control (DTSC) under the new Permit-by Rule Regulations. These regulations specify certain requirements regarding traffic flow, emergency response notifications and prevention of exposure to the public. The regulations require that THHWCF operators bulk wastes only when the public is not present. [22 CCR, section 67450.4 (e) (2) (A)].Santa Clara County Environmental Health Department sponsors local THHWCF`s and does it`s own bulking. In order to save time and money, a variance from the regulation was requested and an employee monitoring program was initiated to determine actual exposure to workers. Results are presented.

  4. ARM - Measurement - Hydrometeor Size Distribution

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

    of hydrometeors observed in a given size range. Categories Atmospheric State, Cloud Properties Instruments The above measurement is considered scientifically relevant for the...

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

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

    ... Below Poverty Line (100 Percent and 125 Percent)-Low income classifications to which certain households are assigned. "Below 100 percent of poverty line includes households with ...

  6. The Impact of Carbon Control on Low-Income Household Electricity and Gasoline Expenditures

    SciTech Connect (OSTI)

    Eisenberg, Joel Fred

    2008-06-01

    In July of 2007 The Department of Energy's (DOE's) Energy Information Administration (EIA) released its impact analysis of 'The Climate Stewardship And Innovation Act of 2007,' known as S.280. This legislation, cosponsored by Senators Joseph Lieberman and John McCain, was designed to significantly cut U.S. greenhouse gas emissions over time through a 'cap-and-trade' system, briefly described below, that would gradually but extensively reduce such emissions over many decades. S.280 is one of several proposals that have emerged in recent years to come to grips with the nation's role in causing human-induced global climate change. EIA produced an analysis of this proposal using the National Energy Modeling System (NEMS) to generate price projections for electricity and gasoline under the proposed cap-and-trade system. Oak Ridge National Laboratory integrated those price projections into a data base derived from the EIA Residential Energy Consumption Survey (RECS) for 2001 and the EIA public use files from the National Household Transportation Survey (NHTS) for 2001 to develop a preliminary assessment of impact of these types of policies on low-income consumers. ORNL will analyze the impacts of other specific proposals as EIA makes its projections for them available. The EIA price projections for electricity and gasoline under the S.280 climate change proposal, integrated with RECS and NHTS for 2001, help identify the potential effects on household electric bills and gasoline expenditures, which represent S.280's two largest direct impacts on low-income household budgets in the proposed legislation. The analysis may prove useful in understanding the needs and remedies for the distributive impacts of such policies and how these may vary based on patterns of location, housing and vehicle stock, and energy usage.

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

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

    0 Home Appliances Usage Indicators by Number of Household Members, 2005 Total.............................................................................. 111.1 30.0 34.8 18.4 15.9 12.0 Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day........................................... 8.2 1.4 1.9 1.4 1.0 2.4 2 Times A Day........................................................ 24.6 4.3 7.6 4.3 4.8 3.7 Once a Day............................................................ 42.3 9.9

  8. Table HC6.11 Home Electronics Characteristics by Number of Household Members, 2005

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

    1 Home Electronics Characteristics by Number of Household Members, 2005 Total...................................................................... 111.1 30.0 34.8 18.4 15.9 12.0 Personal Computers Do Not Use a Personal Computer ................... 35.5 16.3 9.4 4.0 2.7 3.2 Use a Personal Computer................................ 75.6 13.8 25.4 14.4 13.2 8.8 Number of Desktop PCs 1.................................................................. 50.3 11.9 17.4 8.5 7.3 5.2

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

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

    2 Home Electronics Usage Indicators by Number of Household Members, 2005 Total................................................................................ 111.1 30.0 34.8 18.4 15.9 12.0 Personal Computers Do Not Use a Personal Computer............................. 35.5 16.3 9.4 4.0 2.7 3.2 Use a Personal Computer.......................................... 75.6 13.8 25.4 14.4 13.2 8.8 Most-Used Personal Computer Type of PC Desk-top Model.....................................................

  10. Table HC6.2 Living Space Characteristics by Number of Household Members, 2005

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

    2 Living Space Characteristics by Number of Household Members, 2005 Total...................................................................... 111.1 30.0 34.8 18.4 15.9 12.0 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500............................................... 3.2 1.7 0.8 0.4 0.3 Q 500 to 999....................................................... 23.8 10.2 6.4 3.4 2.3 1.5 1,000 to 1,499................................................. 20.8 5.5 6.3 3.0 3.3 2.6 1,500 to

  11. Table HC6.9 Home Appliances Characteristics by Number of Household Members, 2005

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

    HC6.9 Home Appliances Characteristics by Number of Household Members, 2005 Total U.S.............................................................. 111.1 30.0 34.8 18.4 15.9 12.0 Cooking Appliances Conventional Ovens Use an Oven.................................................. 109.6 29.5 34.4 18.2 15.7 11.8 1................................................................. 103.3 28.4 32.0 17.3 14.7 11.0 2 or More.................................................... 6.2 1.1 2.5 1.0 0.9 0.8 Do Not

  12. Assessment of lead contamination in Bahrain environment. I. Analysis of household paint

    SciTech Connect (OSTI)

    Madany, I.M.; Ali, S.M.; Akhter, M.S.

    1987-01-01

    The analysis of lead in household paint collected from various old buildings in Bahrain is reported. The atomic absorption spectrophotometric method, both flame and flameless (graphite furnace) techniques, were used for the analysis. The concentrations of lead in paint were found in the range 200 to 5700 mg/kg, which are low compared to the limit of 0.5% in UK and 0.06% in USA. Nevertheless, these are hazardous. Recommendations are reported in order to avoid paint containing lead. 17 references, 1 table.

  13. WEEE and portable batteries in residual household waste: Quantification and characterisation of misplaced waste

    SciTech Connect (OSTI)

    Bigum, Marianne; Petersen, Claus; Scheutz, Charlotte

    2013-11-15

    Highlights: • We analyse 26.1 Mg of residual waste from 3129 Danish households. • We quantify and characterise misplaced WEEE and portable batteries. • We compare misplaced WEEE and batteries to collection through dedicated schemes. • Characterisation showed that primarily small WEEE and light sources are misplaced. • Significant amounts of misplaced batteries were discarded as built-in WEEE. - Abstract: A total of 26.1 Mg of residual waste from 3129 households in 12 Danish municipalities was analysed and revealed that 89.6 kg of Waste Electrical and Electronic Equipment (WEEE), 11 kg of batteries, 2.2 kg of toners and 16 kg of cables had been wrongfully discarded. This corresponds to a Danish household discarding 29 g of WEEE (7 items per year), 4 g of batteries (9 batteries per year), 1 g of toners and 7 g of unidentifiable cables on average per week, constituting 0.34% (w/w), 0.04% (w/w), 0.01% (w/w) and 0.09% (w/w), respectively, of residual waste. The study also found that misplaced WEEE and batteries in the residual waste constituted 16% and 39%, respectively, of what is being collected properly through the dedicated special waste collection schemes. This shows that a large amount of batteries are being discarded with the residual waste, whereas WEEE seems to be collected relatively successfully through the dedicated special waste collection schemes. Characterisation of the misplaced batteries showed that 20% (w/w) of the discarded batteries were discarded as part of WEEE (built-in). Primarily alkaline batteries, carbon zinc batteries and alkaline button cell batteries were found to be discarded with the residual household waste. Characterisation of WEEE showed that primarily small WEEE (WEEE directive categories 2, 5a, 6, 7 and 9) and light sources (WEEE directive category 5b) were misplaced. Electric tooth brushes, watches, clocks, headphones, flashlights, bicycle lights, and cables were items most frequently found. It is recommended that these findings are taken into account when designing new or improving existing special waste collection schemes. Improving the collection of WEEE is also recommended as one way to also improve the collection of batteries due to the large fraction of batteries found as built-in. The findings in this study were comparable to other western European studies, suggesting that the recommendations made in this study could apply to other western European countries as well.

  14. The changing character of household waste in the Czech Republic between 1999 and 2009 as a function of home heating methods

    SciTech Connect (OSTI)

    Dolealov, Markta; Beneov, Libue; Zvodsk, Anita

    2013-09-15

    Highlights: The character of household waste in the three different types of households were assesed. The quantity, density and composition of household waste were determined. The physicochemical characteristics were determined. The changing character of household waste during past 10 years was described. The potential of energy recovery of household waste in Czech republic was assesed. - Abstract: The authors of this paper report on the changing character of household waste, in the Czech Republic between 1999 and 2009 in households differentiated by their heating methods. The data presented are the result of two projects, financed by the Czech Ministry of Environment, which were undertaken during this time period with the aim of focusing on the waste characterisation and complete analysis of the physicochemical properties of the household waste. In the Czech Republic, the composition of household waste varies significantly between different types of households based on the methods of home heating employed. For the purposes of these studies, the types of homes were divided into three categories urban, mixed and rural. Some of the biggest differences were found in the quantities of certain subsample categories, especially fine residue (matter smaller than 20 mm), between urban households with central heating and rural households that primarily employ solid fuel such coal or wood. The use of these solid fuels increases the fraction of the finer categories because of the higher presence of ash. Heating values of the residual household waste from the three categories varied very significantly, ranging from 6.8 MJ/kg to 14.2 MJ/kg in 1999 and from 6.8 MJ/kg to 10.5 MJ/kg in 2009 depending on the type of household and season. The same factors affect moisture of residual household waste which varied from 23.2% to 33.3%. The chemical parameters also varied significantly, especially in the quantities of Tl, As, Cr, Zn, Fe and Mn, which were higher in rural households. Because knowledge about the properties of household waste, as well as its physicochemical characteristics, is very important not only for future waste management, but also for the prediction of the behaviour and influence of the waste on the environment as the country continues to streamline its legislation to the European Unions solid waste mandates, the results of these studies were employed by the Czech Ministry of Environment to optimise the national waste management strategy.

  15. Method for sizing hollow microspheres

    DOE Patents [OSTI]

    Farnum, E.H.; Fries, R.J.

    1975-10-29

    Hollow Microspheres may be effectively sized by placing them beneath a screen stack completely immersed in an ultrasonic bath containing a liquid having a density at which the microspheres float and ultrasonically agitating the bath.

  16. Table 5.17. U.S. Number of Households by Vehicle Fuel Expenditures...

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

    More ... 8.2 Q 1.7 1.9 1.7 2.6 6.1 2.0 Q Q Q 16.7 Below Poverty Line 100 Percent ... 9.0 2.5 3.6 1.3 1.0 0.6 Q...

  17. Table 5.2. U.S. per Household Vehicle-Miles Traveled, Vehicle...

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

    75,000 or More ... 8.2 2.3 28.5 1,443 1,692 5.2 Below Poverty Line 100 Percent ... 9.0 1.4 14.7 769 890 7.3 125...

  18. Table 5.12. U.S. Average Vehicle-Miles Traveled by Household...

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

    ... 30.8 25.1 28.9 42.6 27.1 Q Q Q 25.2 31.8 23.3 13.7 Below Poverty Line 100 Percent ... 16.6 15.4 16.2 19.5 12.8 Q...

  19. Table 5.18. U.S. Average Household and Vehicle Energy Expenditures...

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

    ... 8.5 3,447 0.3 1,676 8.2 3,519 1,827 1,692 8.6 Below Poverty Line 100 Percent ... 14.7 1,600 5.7 935 9.0 2,022...

  20. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

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

    3 Household Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Household Characteristics"

  1. Effect of particle size reduction on anaerobic sludge digestion

    SciTech Connect (OSTI)

    Koutsospyros, A.D.

    1990-01-01

    The majority of organic pollutants in primary sludge are suspended in the form of particulate rather than soluble matter. Microbial organisms cannot assimilate this material without initial solubilization. In anaerobic digestion, the initial size breakdown is accomplished by hydrolytic bacteria. The extent of solubilization is limited by the size of particulate matter. Thus, size reduction prior to digestion is a sound alternative. Size reduction pretreatment was achieved by means of ultrasonic waves. Sonication proved an effective method for size reduction of particulate matter in primary sludge. In addition, although the method produced relatively high amounts of finely dispered solids, the filtration properties of resulting sludges were not affected. Chemical characteristics of sludge, important in anaerobic digestion, were not affected, at least within the attempted range of sonication time and amplitude. The effect of size reduction of primary sludge solids was studied under batch and semi-continuous feed conditions. Preliminary batch digestion experiments were conducted in five 1.5 liter reactors that accepted sonicated feeds of varying pretreatment at four different feed loads (3.3-13.3% by volume). The digestion efficiency and gas production were increased by as much as 30 percent as a result of sonication without any deterioration in the filtration properties of the digester effluent. At higher feed loads the digester efficiency dropped drastically and significant deterioration of the effluent filtration properties from all reactors was evident. Semi-continuous runs were conducted in four reactors. Solids retention time (SRT) was varied from 8 to 20 days. Process efficiency and gas production were enhanced as a result of sonication. Process improvement was more evident under short SRT (8-10 days).

  2. Survey of Recipients of WAP Services Assessment of Household Budget and Energy Behaviors Pre to Post Weatherization DOE

    SciTech Connect (OSTI)

    Tonn, Bruce Edward; Rose, Erin M.; Hawkins, Beth A.

    2015-10-01

    This report presents results from the national survey of weatherization recipients. This research was one component of the retrospective and Recovery Act evaluations of the U.S. Department of Energy s Weatherization Assistance Program. Survey respondents were randomly selected from a nationally representative sample of weatherization recipients. The respondents and a comparison group were surveyed just prior to receiving their energy audits and then again approximately 18 months post-weatherization. This report focuses on budget issues faced by WAP households pre- and post-weatherization, whether household energy behaviors changed from pre- to post, the effectiveness of approaches to client energy education, and use and knowledge about thermostats.

  3. Table HC6.4 Space Heating Characteristics by Number of Household Members, 2005

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

    4 Space Heating Characteristics by Number of Household Members, 2005 Total..................................................................... 111.1 30.0 34.8 18.4 15.9 12.0 Do Not Have Space Heating Equipment............ 1.2 0.3 0.3 Q 0.2 0.2 Have Main Space Heating Equipment............... 109.8 29.7 34.5 18.2 15.6 11.8 Use Main Space Heating Equipment................. 109.1 29.5 34.4 18.1 15.5 11.6 Have Equipment But Do Not Use It................... 0.8 Q Q Q Q Q Main Heating Fuel and

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

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

    5 Space Heating Usage Indicators by Number of Household Members, 2005 Total U.S. Housing Units.................................. 111.1 30.0 34.8 18.4 15.9 12.0 Do Not Have Heating Equipment..................... 1.2 0.3 0.3 Q 0.2 0.2 Have Space Heating Equipment....................... 109.8 29.7 34.5 18.2 15.6 11.8 Use Space Heating Equipment........................ 109.1 29.5 34.4 18.1 15.5 11.6 Have But Do Not Use Equipment.................... 0.8 Q Q Q Q Q Space Heating Usage During 2005

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

    SciTech Connect (OSTI)

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

    2008-01-25

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

  6. Residential energy use and conservation in Venezuela: Results and implications of a household survey in Caracas

    SciTech Connect (OSTI)

    Figueroa, M.J.; Ketoff, A.; Masera, O.

    1992-10-01

    This document presents the final report of a study of residential energy use in Caracas, the capital of Venezuela. It contains the findings of a household energy-use survey held in Caracas in 1988 and examines options for introducing energy conservation measures in the Venezuelan residential sector. Oil exports form the backbone of the Venezuelan economy. Improving energy efficiency in Venezuela will help free domestic oil resources that can be sold to the rest of the world. Energy conservation will also contribute to a faster recovery of the economy by reducing the need for major investments in new energy facilities, allowing the Venezuelan government to direct its financial investments towards other areas of development. Local environmental benefits will constitute an important additional by-product of implementing energy-efficiency policies in Venezuela. Caracas`s residential sector shows great potential for energy conservation. The sector is characterized by high saturation levels of major appliances, inefficiency of appliances available in the market, and by careless patterns of energy use. Household energy use per capita average 6.5 GJ/per year which is higher than most cities in developing countries; most of this energy is used for cooking. Electricity accounts for 41% of all energy use, while LPG and natural gas constitute the remainder. Specific options for inducing energy conservation and energy efficiency in Caracas`s residential sector include energy-pricing policies, fuel switching, particularly from electricity to gas, improving the energy performance of new appliances and customer information. To ensure the accomplishment of an energy-efficiency strategy, a concerted effort by energy users, manufacturers, utility companies, government agencies, and research institutions will be needed.

  7. Strategy Guideline: HVAC Equipment Sizing

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

    Strategy Guideline: HVAC Equipment Sizing Arlan Burdick IBACOS, Inc. February 2012 This report received minimal editorial review at NREL NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information,

  8. Strategy Guideline: HVAC Equipment Sizing

    SciTech Connect (OSTI)

    Burdick, A.

    2012-02-01

    The heating, ventilation, and air conditioning (HVAC) system is arguably the most complex system installed in a house and is a substantial component of the total house energy use. A right-sized HVAC system will provide the desired occupant comfort and will run efficiently. This Strategy Guideline discusses the information needed to initially select the equipment for a properly designed HVAC system. Right-sizing of an HVAC system involves the selection of equipment and the design of the air distribution system to meet the accurate predicted heating and cooling loads of the house. Right-sizing the HVAC system begins with an accurate understanding of the heating and cooling loads on a space; however, a full HVAC design involves more than just the load estimate calculation - the load calculation is the first step of the iterative HVAC design procedure. This guide describes the equipment selection of a split system air conditioner and furnace for an example house in Chicago, IL as well as a heat pump system for an example house in Orlando, Florida. The required heating and cooling load information for the two example houses was developed in the Department of Energy Building America Strategy Guideline: Accurate Heating and Cooling Load Calculations.

  9. Household mold and dust allergens: Exposure, sensitization and childhood asthma morbidity

    SciTech Connect (OSTI)

    Gent, Janneane F.; Kezik, Julie M.; Hill, Melissa E.; Tsai, Eling; Li, De-Wei; Leaderer, Brian P.

    2012-10-15

    Background: Few studies address concurrent exposures to common household allergens, specific allergen sensitization and childhood asthma morbidity. Objective: To identify levels of allergen exposures that trigger asthma exacerbations in sensitized individuals. Methods: We sampled homes for common indoor allergens (fungi, dust mites (Der p 1, Der f 1), cat (Fel d 1), dog (Can f 1) and cockroach (Bla g 1)) for levels associated with respiratory responses among school-aged children with asthma (N=1233) in a month-long study. Blood samples for allergy testing and samples of airborne fungi and settled dust were collected at enrollment. Symptoms and medication use were recorded on calendars. Combined effects of specific allergen sensitization and level of exposure on wheeze, persistent cough, rescue medication use and a 5-level asthma severity score were examined using ordered logistic regression. Results: Children sensitized and exposed to any Penicillium experienced increased risk of wheeze (odds ratio [OR] 2.12 95% confidence interval [CI] 1.12, 4.04), persistent cough (OR 2.01 95% CI 1.05, 3.85) and higher asthma severity score (OR 1.99 95% CI 1.06, 3.72) compared to those not sensitized or sensitized but unexposed. Children sensitized and exposed to pet allergen were at significantly increased risk of wheeze (by 39% and 53% for Fel d 1>0.12 {mu}g/g and Can f 1>1.2 {mu}g/g, respectively). Increased rescue medication use was significantly associated with sensitization and exposure to Der p 1>0.10 {mu}g/g (by 47%) and Fel d 1>0.12 {mu}g/g (by 32%). Conclusion: Asthmatic children sensitized and exposed to low levels of common household allergens Penicillium, Der p 1, Fel d 1 and Can f 1 are at significant risk for increased morbidity. - Highlights: Black-Right-Pointing-Pointer Few studies address concurrent allergen exposures, sensitization and asthma morbidity. Black-Right-Pointing-Pointer Children with asthma were tested for sensitivity to common indoor allergens. Black-Right-Pointing-Pointer Homes were sampled for these allergens and asthma morbidity monitored during the subsequent month. Black-Right-Pointing-Pointer Children exposed and sensitized to Penicillium, Der p, Fel d, Can f risk increased asthma morbidity. Black-Right-Pointing-Pointer These children might benefit from targeted intervention strategies.

  10. spaceheat_percent2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    ... 1.7 Q 2.3 2.6 1.3 Q 29.9 Steam or Hot-Water System ...... 7.4 8.7 12.5 12.9 1.3 Q ... 7.5 18.6 9.3 14.4 Q Q 16.3 Steam or Hot-Water System ...... 4.1 7.8 5.5 8.7 Q Q 18.1 ...

  11. S:\VM3\RX97\TBL_LIST.WPD

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

    Percent of U.S. Households; 13 pages, 54 kb) Contents Pages HC2-1b. Household Characteristics by Climate Zone, Percent of U.S. Households, 1997 2 HC2-2b. Household Characteristics by Year of Construction, Percent of U.S. Households, 1997 1 HC2-3b. Household Characteristics by Household Income, Percent of U.S. Households, 1997 1 HC2-4b. Household Characteristics by Type of Housing Unit, Percent of U.S. Households, 1997 1 HC2-5b. Household Characteristics by Type of Owner-Occupied Housing Unit,

  12. LCA for household waste management when planning a new urban settlement

    SciTech Connect (OSTI)

    Slagstad, Helene; Brattebo, Helge

    2012-07-15

    Highlights: Black-Right-Pointing-Pointer Household waste management of a new carbon neutral settlement. Black-Right-Pointing-Pointer EASEWASTE as a LCA tool to compare different centralised and decentralised solutions. Black-Right-Pointing-Pointer Environmental benefit or close to zero impact in most of the categories. Black-Right-Pointing-Pointer Paper and metal recycling important for the outcome. Black-Right-Pointing-Pointer Discusses the challenges of waste prevention planning. - Abstract: When planning for a new urban settlement, industrial ecology tools like scenario building and life cycle assessment can be used to assess the environmental quality of different infrastructure solutions. In Trondheim, a new greenfield settlement with carbon-neutral ambitions is being planned and five different scenarios for the waste management system of the new settlement have been compared. The results show small differences among the scenarios, however, some benefits from increased source separation of paper and metal could be found. The settlement should connect to the existing waste management system of the city, and not resort to decentralised waste treatment or recovery methods. However, as this is an urban development project with ambitious goals for lifestyle changes, effort should be put into research and initiatives for proactive waste prevention and reuse issues.

  13. Weatherization assistance for low-income households: An evaluation of local program performance

    SciTech Connect (OSTI)

    Schweitzer, M.; Rayner, S.; Wolfe, A.K.; Mason, T.W.; Ragins, B.R.; Cartor, R.A.

    1987-08-01

    The US Department of Energy's Weatherization Assistance Program (WAP) funds local agencies to provide weatherization services to low-income households. This report describes the most salient features of this program, examines relationships between organization and program outcomes, and presents recommendations for the program's further development. Data were collected by written surveys administered to local weatherization agencies, a telephone survey of 38 states and eight DOE support offices, and site visits to selected local agencies. Locally controlled factors found to be significantly related to program performance include the amount of the weatherization director's time spent on program administration, the use of established client selection criteria, the frequency of evaluation of local goal attainment, and the type of weatherization crews used. Factors controlled at the state or federal levels that influence program performance include delays in state reimbursements of local agency expenditures and local flexibility in the choice of weatherization measures. Data-gathering difficulties experienced during this project indicate a need for possible improvements in goal-setting and record-keeping procedures.

  14. Estimating household fuel oil/kerosine, natural gas, and LPG prices by census region

    SciTech Connect (OSTI)

    Poyer, D.A.; Teotia, A.P.S.

    1994-08-01

    The purpose of this research is to estimate individual fuel prices within the residential sector. The data from four US Department of Energy, Energy Information Administration, residential energy consumption surveys were used to estimate the models. For a number of important fuel types - fuel oil, natural gas, and liquefied petroleum gas - the estimation presents a problem because these fuels are not used by all households. Estimates obtained by using only data in which observed fuel prices are present would be biased. A correction for this self-selection bias is needed for estimating prices of these fuels. A literature search identified no past studies on application of the selectivity model for estimating prices of residential fuel oil/kerosine, natural gas, and liquefied petroleum gas. This report describes selectivity models that utilize the Dubin/McFadden correction method for estimating prices of residential fuel oil/kerosine, natural gas, and liquefied petroleum gas in the Northeast, Midwest, South, and West census regions. Statistically significant explanatory variables are identified and discussed in each of the models. This new application of the selectivity model should be of interest to energy policy makers, researchers, and academicians.

  15. Influence of assumptions about household waste composition in waste management LCAs

    SciTech Connect (OSTI)

    Slagstad, Helene, E-mail: helene.slagstad@ntnu.no [Department of Hydraulic and Environmental Engineering, Norwegian University of Science and Technology, N-7491 Trondheim (Norway); Brattebo, Helge [Department of Hydraulic and Environmental Engineering, Norwegian University of Science and Technology, N-7491 Trondheim (Norway)

    2013-01-15

    Highlights: Black-Right-Pointing-Pointer Uncertainty in waste composition of household waste. Black-Right-Pointing-Pointer Systematically changed waste composition in a constructed waste management system. Black-Right-Pointing-Pointer Waste composition important for the results of accounting LCA. Black-Right-Pointing-Pointer Robust results for comparative LCA. - Abstract: This article takes a detailed look at an uncertainty factor in waste management LCA that has not been widely discussed previously, namely the uncertainty in waste composition. Waste composition is influenced by many factors; it can vary from year to year, seasonally, and with location, for example. The data publicly available at a municipal level can be highly aggregated and sometimes incomplete, and performing composition analysis is technically challenging. Uncertainty is therefore always present in waste composition. This article performs uncertainty analysis on a systematically modified waste composition using a constructed waste management system. In addition the environmental impacts of several waste management strategies are compared when applied to five different cities. We thus discuss the effect of uncertainty in both accounting LCA and comparative LCA. We found the waste composition to be important for the total environmental impact of the system, especially for the global warming, nutrient enrichment and human toxicity via water impact categories.

  16. Status of not-in-kind refrigeration technologies for household space conditioning, water heating and food refrigeration

    SciTech Connect (OSTI)

    Bansal, Pradeep; Vineyard, Edward Allan; Abdelaziz, Omar

    2012-01-01

    This paper presents a review of the next generation not-in-kind technologies to replace conventional vapor compression refrigeration technology for household applications. Such technologies are sought to provide energy savings or other environmental benefits for space conditioning, water heating and refrigeration for domestic use. These alternative technologies include: thermoacoustic refrigeration, thermoelectric refrigeration, thermotunneling, magnetic refrigeration, Stirling cycle refrigeration, pulse tube refrigeration, Malone cycle refrigeration, absorption refrigeration, adsorption refrigeration, and compressor driven metal hydride heat pumps. Furthermore, heat pump water heating and integrated heat pump systems are also discussed due to their significant energy saving potential for water heating and space conditioning in households. The paper provides a snapshot of the future R&D needs for each of the technologies along with the associated barriers. Both thermoelectric and magnetic technologies look relatively attractive due to recent developments in the materials and prototypes being manufactured.

  17. Cost comparison between private and public collection of residual household waste: Multiple case studies in the Flemish region of Belgium

    SciTech Connect (OSTI)

    Jacobsen, R.; Buysse, J.; Gellynck, X.

    2013-01-15

    Highlights: Black-Right-Pointing-Pointer The goal is to compare collection costs for residual household waste. Black-Right-Pointing-Pointer We have clustered all municipalities in order to find mutual comparable pairs. Black-Right-Pointing-Pointer Each pair consists of one private and one public operating waste collection program. Black-Right-Pointing-Pointer All cases show that private service has lower costs than public service. Black-Right-Pointing-Pointer Municipalities were contacted to identify the deeper causes for the waste management program. - Abstract: The rising pressure in terms of cost efficiency on public services pushes governments to transfer part of those services to the private sector. A trend towards more privatizing can be noticed in the collection of municipal household waste. This paper reports the findings of a research project aiming to compare the cost between the service of private and public collection of residual household waste. Multiple case studies of municipalities about the Flemish region of Belgium were conducted. Data concerning the year 2009 were gathered through in-depth interviews in 2010. In total 12 municipalities were investigated, divided into three mutual comparable pairs with a weekly and three mutual comparable pairs with a fortnightly residual waste collection. The results give a rough indication that in all cases the cost of private service is lower than public service in the collection of household waste. Albeit that there is an interest in establishing whether there are differences in the costs and service levels between public and private waste collection services, there are clear difficulties in establishing comparisons that can be made without having to rely on a large number of assumptions and corrections. However, given the cost difference, it remains the responsibility of the municipalities to decide upon the service they offer their citizens, regardless the cost efficiency: public or private.

  18. A life cycle approach to the management of household food waste - A Swedish full-scale case study

    SciTech Connect (OSTI)

    Bernstad, A.; Cour Jansen, J. la

    2011-08-15

    Research Highlights: > The comparison of three different methods for management of household food waste show that anaerobic digestion provides greater environmental benefits in relation to global warming potential, acidification and ozone depilation compared to incineration and composting of food waste. Use of produced biogas as car fuel provides larger environmental benefits compared to a use of biogas for heat and power production. > The use of produced digestate from the anaerobic digestion as substitution for chemical fertilizer on farmland provides avoidance of environmental burdens in the same ratio as the substitution of fossil fuels with produced biogas. > Sensitivity analyses show that results are highly sensitive to assumptions regarding the environmental burdens connected to heat and energy supposedly substituted by the waste treatment. - Abstract: Environmental impacts from incineration, decentralised composting and centralised anaerobic digestion of solid organic household waste are compared using the EASEWASTE LCA-tool. The comparison is based on a full scale case study in southern Sweden and used input-data related to aspects such as source-separation behaviour, transport distances, etc. are site-specific. Results show that biological treatment methods - both anaerobic and aerobic, result in net avoidance of GHG-emissions, but give a larger contribution both to nutrient enrichment and acidification when compared to incineration. Results are to a high degree dependent on energy substitution and emissions during biological processes. It was seen that if it is assumed that produced biogas substitute electricity based on Danish coal power, this is preferable before use of biogas as car fuel. Use of biogas for Danish electricity substitution was also determined to be more beneficial compared to incineration of organic household waste. This is a result mainly of the use of plastic bags in the incineration alternative (compared to paper bags in the anaerobic) and the use of biofertiliser (digestate) from anaerobic treatment as substitution of chemical fertilisers used in an incineration alternative. Net impact related to GWP from the management chain varies from a contribution of 2.6 kg CO{sub 2}-eq/household and year if incineration is utilised, to an avoidance of 5.6 kg CO{sub 2}-eq/household and year if choosing anaerobic digestion and using produced biogas as car fuel. Impacts are often dependent on processes allocated far from the control of local decision-makers, indicating the importance of a holistic approach and extended collaboration between agents in the waste management chain.

  19. 5000 groove/mm multilayer-coated blazed grating with 33percent efficiency in the 3rd order in the EUV wavelength range

    SciTech Connect (OSTI)

    Advanced Light Source; Voronov, Dmitriy L.; Anderson, Erik; Cambie, Rossana; Salmassi, Farhad; Gullikson, Eric; Yashchuk, Valeriy; Padmore, Howard; Ahn, Minseung; Chang, Chih-Hao; Heilmann, Ralf; Schattenburg, Mark

    2009-07-07

    We report on recent progress in developing diffraction gratings which can potentially provide extremely high spectral resolution of 105-106 in the EUV and soft x-ray photon energy ranges. Such a grating was fabricated by deposition of a multilayer on a substrate which consists ofa 6-degree blazed grating with a high groove density. The fabrication of the substrate gratings was based on scanning interference lithography and anisotropic wet etch of silicon single crystals. The optimized fabrication process provided precise control of the grating periodicity, and the grating groove profile, together with very short anti-blazed facets, and near atomically smooth surface blazed facets. The blazed grating coated with 20 Mo/Si bilayers demonstrated a diffraction efficiency in the third order as high as 33percent at an incidence angle of 11? and wavelength of 14.18 nm.

  20. Residential energy consumption across different population groups: Comparative analysis for Latino and non-Latino households in U.S.A.

    SciTech Connect (OSTI)

    Poyer, D.A.; Teotia, A.P.S.; Henderson, L.

    1998-05-01

    Residential energy cost, an important part of the household budget, varies significantly across different population groups. In the United States, researchers have conducted many studies of household fuel consumption by fuel type -- electricity, natural gas, fuel oil, and liquefied petroleum gas (LPG) -- and by geographic areas. The results of past research have also demonstrated significant variation in residential energy use across various population groups, including white, black, and Latino. However, research shows that residential energy demand by fuel type for Latinos, the fastest-growing population group in the United States, has not been explained by economic and noneconomic factors in any available statistical model. This paper presents a discussion of energy demand and expenditure patterns for Latino and non-Latino households in the United States. The statistical model developed to explain fuel consumption and expenditures for Latino households is based on Stone and Geary`s linear expenditure system model. For comparison, the authors also developed models for energy consumption in non-Latino, black, and nonblack households. These models estimate consumption of and expenditures for electricity, natural gas, fuel oil, and LPG by various households at the national level. The study revealed significant variations in the patterns of fuel consumption for Latinos and non-Latinos. The model methodology and results of this research should be useful to energy policymakers in government and industry, researchers, and academicians who are concerned with economic and energy issues related to various population groups.

  1. Hazards of explosives dusts: Particle size effects

    SciTech Connect (OSTI)

    Cashdollar, K L; Hertzberg, M; Green, G M

    1992-02-01

    At the request of the Department of Energy, the Bureau of Mines has investigated the hazards of military explosives dispersed as dust clouds in a 20-L test chamber. In this report, the effect of particle size for HMX, HNS, RDX, TATB, and TNT explosives dusts is studied in detail. The explosibility data for these dusts are also compared to those for pure fuel dusts. The data show that all of the sizes of the explosives dusts that were studied were capable of sustaining explosions as dust clouds dispersed in air. The finest sizes (<10 [mu]m) of explosives dusts were less reactive than the intermediate sizes (20 to 60 [mu]m); this is opposite to the particle size effect observed previously for the pure fuel dusts. At the largest sizes studied, the explosives dusts become somewhat less reactive as dispersed dust clouds. The six sizes of the HMX dust were also studied as dust clouds dispersed in nitrogen.

  2. Low-cost household paint abatement to reduce children's blood lead levels

    SciTech Connect (OSTI)

    Taha, T.; Kanarek, M.S.; Schultz, B.D.; Murphy, A.

    1999-11-01

    The purpose was to examine the effectiveness of low-cost abatement on children's blood lead levels. Blood lead was analyzed before and after abatement in 37 homes of children under 7 years old with initial blood lead levels of 25--44 {micro}g/dL. Ninety-five percent of homes were built before 1950. Abatement methods used were wet-scraping and repainting deteriorated surfaces and wrapping window wells with aluminum or vinyl. A control group was retrospectively selected. Control children were under 7 years old, had initial blood lead levels of 25--44 {micro}g/dL and a follow-up level at least 28 days afterward, and did not have abatements performed in their homes between blood lead levels. After abatement, statistically significant declines occurred in the intervention children's blood lead levels. The mean decline was 22%, 1 to 6 months after treatment. After adjustment for seasonality and child's age, the mean decline was 6.0 {micro}g/dL, or 18%. The control children's blood levels did not decline significantly. There was a mean decline of 0.25 {micro}g/dL, or 0.39%. After adjustment for seasonality and age, the mean decline for control children was 1.6 {micro}g/dL, or 1.8%. Low-cost abatement and education are effective short-term interim controls.

  3. THE CO2 ABATEMENT POTENTIAL OF CALIFORNIA'S MID-SIZED COMMERCIAL BUILDINGS

    SciTech Connect (OSTI)

    Stadler, Michael; Marnay, Chris; Cardoso, Goncalo; Lipman, Tim; Megel, Olivier; Ganguly, Srirupa; Siddiqui, Afzal; Lai, Judy

    2009-12-31

    The Ernest Orlando Lawrence Berkeley National Laboratory (LBNL) is working with the California Energy Commission (CEC) todetermine the potential role of commercial sector distributed generation (DG) with combined heat and power (CHP) capability deployment in greenhouse gas emissions (GHG) reductions. CHP applications at large industrial sites are well known, and a large share of their potential has already been harvested. In contrast, relatively little attention has been paid to the potential of medium-sized commercial buildings, i.e. ones with peak electric loads ranging from 100 kW to 5 MW. We examine how this sector might implement DG with CHP in cost minimizing microgrids that are able to adopt and operate various energy technologies, such as solar photovoltaics (PV), on-site thermal generation, heat exchangers, solar thermal collectors, absorption chillers, and storage systems. We apply a mixed-integer linear program (MILP) that minimizes a site?s annual energy costs as its objective. Using 138 representative mid-sized commercial sites in California (CA), existing tariffs of three major electricity distribution ultilities, and performance data of available technology in 2020, we find the GHG reduction potential for this CA commercial sector segment, which represents about 35percent of total statewide commercial sector sales. Under the assumptions made, in a reference case, this segment is estimated to be capable of economically installing 1.4 GW of CHP, 35percent of the California Air Resources Board (CARB) statewide 4 GW goal for total incremental CHP deployment by 2020. However, because CARB?s assumed utilization is far higher than is found by the MILP, the adopted CHP only contributes 19percent of the CO2 target. Several sensitivity runs were completed. One applies a simple feed-in tariff similar to net metering, and another includes a generous self-generation incentive program (SGIP) subsidy for fuel cells. The feed-in tariff proves ineffective at stimulating CHP deployment, while the SGIP buy down is more powerful. The attractiveness of CHP varies widely by climate zone and service territory, but in general, hotter inlandareas and San Diego are the more attractive regions because high cooling loads achieve higher equipment utilization. Additionally, large office buildings are surprisingly good hosts for CHP, so large office buildings in San Diego and hotter urban centers emerge as promising target hosts. Overall the effect on CO2 emissions is limited, never exceeding 27 percent of the CARB target. Nonetheless, results suggest that the CO2 emissions abatement potential of CHP in mid-sized CA buildings is significant, and much more promising than is typically assumed.

  4. Investigation of thermochemical biorefinery sizing and environmental...

    Office of Scientific and Technical Information (OSTI)

    Investigation of thermochemical biorefinery sizing and environmental sustainability impacts for conventional supply system and distributed pre-processing supply system designs...

  5. Electricity storage for grid-connected household dwellings with PV panels

    SciTech Connect (OSTI)

    Mulder, Grietus; Six, Daan; Ridder, Fjo De

    2010-07-15

    Classically electricity storage for PV panels is mostly designed for stand-alone applications. In contrast, we focus in this article on houses connected to the grid with a small-scale storage to store a part of the solar power for postponed consumption within the day or the next days. In this way the house owner becomes less dependent on the grid and does only pay for the net shortage of his energy production. Local storage solutions pave the way for many new applications like omitting over-voltage of the line and bridging periods of power-line black-out. Since 2009 using self-consumption of PV energy is publicly encouraged in Germany, which can be realised by electric storage. This paper develops methods to determine the optimal storage size for grid-connected dwellings with PV panels. From measurements in houses we were able to establish calculation rules for sizing the storage. Two situations for electricity storage are covered: - the storage system is an optimum to cover most of the electricity needs; - it is an optimum for covering the peak power need of a dwelling. After these calculation rules a second step is needed to determine the size of the real battery. The article treats the aspects that should be taken into consideration before buying a specific battery like lead-acid and lithium-ion batteries. (author)

  6. Estimation of breast percent density in raw and processed full field digital mammography images via adaptive fuzzy c-means clustering and support vector machine segmentation

    SciTech Connect (OSTI)

    Keller, Brad M.; Nathan, Diane L.; Wang Yan; Zheng Yuanjie; Gee, James C.; Conant, Emily F.; Kontos, Despina

    2012-08-15

    Purpose: The amount of fibroglandular tissue content in the breast as estimated mammographically, commonly referred to as breast percent density (PD%), is one of the most significant risk factors for developing breast cancer. Approaches to quantify breast density commonly focus on either semiautomated methods or visual assessment, both of which are highly subjective. Furthermore, most studies published to date investigating computer-aided assessment of breast PD% have been performed using digitized screen-film mammograms, while digital mammography is increasingly replacing screen-film mammography in breast cancer screening protocols. Digital mammography imaging generates two types of images for analysis, raw (i.e., 'FOR PROCESSING') and vendor postprocessed (i.e., 'FOR PRESENTATION'), of which postprocessed images are commonly used in clinical practice. Development of an algorithm which effectively estimates breast PD% in both raw and postprocessed digital mammography images would be beneficial in terms of direct clinical application and retrospective analysis. Methods: This work proposes a new algorithm for fully automated quantification of breast PD% based on adaptive multiclass fuzzy c-means (FCM) clustering and support vector machine (SVM) classification, optimized for the imaging characteristics of both raw and processed digital mammography images as well as for individual patient and image characteristics. Our algorithm first delineates the breast region within the mammogram via an automated thresholding scheme to identify background air followed by a straight line Hough transform to extract the pectoral muscle region. The algorithm then applies adaptive FCM clustering based on an optimal number of clusters derived from image properties of the specific mammogram to subdivide the breast into regions of similar gray-level intensity. Finally, a SVM classifier is trained to identify which clusters within the breast tissue are likely fibroglandular, which are then aggregated into a final dense tissue segmentation that is used to compute breast PD%. Our method is validated on a group of 81 women for whom bilateral, mediolateral oblique, raw and processed screening digital mammograms were available, and agreement is assessed with both continuous and categorical density estimates made by a trained breast-imaging radiologist. Results: Strong association between algorithm-estimated and radiologist-provided breast PD% was detected for both raw (r= 0.82, p < 0.001) and processed (r= 0.85, p < 0.001) digital mammograms on a per-breast basis. Stronger agreement was found when overall breast density was assessed on a per-woman basis for both raw (r= 0.85, p < 0.001) and processed (0.89, p < 0.001) mammograms. Strong agreement between categorical density estimates was also seen (weighted Cohen's {kappa}{>=} 0.79). Repeated measures analysis of variance demonstrated no statistically significant differences between the PD% estimates (p > 0.1) due to either presentation of the image (raw vs processed) or method of PD% assessment (radiologist vs algorithm). Conclusions: The proposed fully automated algorithm was successful in estimating breast percent density from both raw and processed digital mammographic images. Accurate assessment of a woman's breast density is critical in order for the estimate to be incorporated into risk assessment models. These results show promise for the clinical application of the algorithm in quantifying breast density in a repeatable manner, both at time of imaging as well as in retrospective studies.

  7. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

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

    1 Home Electronics Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Home Electronics Characteristics"

  8. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

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

    2 Living Space Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Living Space Characteristics"

  9. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

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

    Housing Unit Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Housing Unit Characteristics"

  10. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

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

    4 Space Heating Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Space Heating Characteristics"

  11. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

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

    6 Air Conditioning Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Air Conditioning Characteristics"

  12. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

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

    7 Air-Conditioning Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Air-Conditioning Usage Indicators"

  13. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

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

    HC7.9 Home Appliances Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Home Appliances Characteristics" "Total

  14. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

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

    3 Lighting Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Lighting Usage Indicators" "Total U.S. Housing

  15. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

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

    8 Water Heating Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Water Heating Characteristics"

  16. Separate collection of household food waste for anaerobic degradation - Comparison of different techniques from a systems perspective

    SciTech Connect (OSTI)

    Bernstad, A.; Cour Jansen, J. la

    2012-05-15

    Highlight: Black-Right-Pointing-Pointer Four modern and innovative systems for household food waste collection are compared. Black-Right-Pointing-Pointer Direct emissions and resource use were based on full-scale data. Black-Right-Pointing-Pointer Conservation of nutrients/energy content over the system was considered. Black-Right-Pointing-Pointer Systems with high energy/nutrient recovery are most environmentally beneficial. - Abstract: Four systems for household food waste collection are compared in relation the environmental impact categories eutrophication potential, acidification potential, global warming potential as well as energy use. Also, a hotspot analysis is performed in order to suggest improvements in each of the compared collection systems. Separate collection of household food waste in paper bags (with and without drying prior to collection) with use of kitchen grinders and with use of vacuum system in kitchen sinks were compared. In all cases, food waste was used for anaerobic digestion with energy and nutrient recovery in all cases. Compared systems all resulted in net avoidance of assessed environmental impact categories; eutrophication potential (-0.1 to -2.4 kg NO{sub 3}{sup -}eq/ton food waste), acidification potential (-0.4 to -1.0 kg SO{sub 2}{sup -}eq/ton food waste), global warming potential (-790 to -960 kg CO{sub 2}{sup -}eq/ton food waste) and primary energy use (-1.7 to -3.6 GJ/ton food waste). Collection with vacuum system results in the largest net avoidance of primary energy use, while disposal of food waste in paper bags for decentralized drying before collection result in a larger net avoidance of global warming, eutrophication and acidification. However, both these systems not have been taken into use in large scale systems yet and further investigations are needed in order to confirm the outcomes from the comparison. Ranking of scenarios differ largely if considering only emissions in the foreground system, indicating the importance of taking also downstream emissions into consideration when comparing different collection systems. The hot spot identification shows that losses of organic matter in mechanical pretreatment as well as tank connected food waste disposal systems and energy in drying and vacuum systems reply to the largest impact on the results in each system respectively.

  17. ARM - Measurement - Cloud particle size distribution

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

    from you Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud particle size distribution The number of cloud particles present in any given volume of air...

  18. " Row: Employment Sizes within NAICS Codes...

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

    " 311 - 339","ALL MANUFACTURING INDUSTRIES" ,"Employment Size" ," Under 50",562.6,4.7,2.4 ," 50-99",673.1,5.1,2.4 ," 100-249",1072.799927,6.459656809,2.981380066 ," ...

  19. " Row: Employment Sizes within NAICS Codes...

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

    " 311 - 339","ALL MANUFACTURING INDUSTRIES" ,"Employment Size" ," Under 50",507.3,6.7,3.4,2.6 ," 50-99",561.6,6.7,3.2,3 ," 100-249",913.6,9.2,4.4,2 ," ...

  20. Table 2.5 Household Energy Consumption and Expenditures by End Use, Selected Years, 1978-2005

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

    5 Household 1 Energy Consumption and Expenditures by End Use, Selected Years, 1978-2005 Year Space Heating Air Conditioning Water Heating Appliances, 2 Electronics, and Lighting Natural Gas Elec- tricity 3 Fuel Oil 4 LPG 5 Total Electricity 3 Natural Gas Elec- tricity 3 Fuel Oil 4 LPG 5 Total Natural Gas Elec- tricity 3 LPG 5 Total Consumption (quadrillion Btu)<//td> 1978 4.26 0.40 2.05 0.23 6.94 0.31 1.04 0.29 0.14 0.06 1.53 0.28 1.46 0.03 1.77 1980 3.41 .27 1.30 .23 5.21 .36 1.15 .30 .22

  1. Process for the utilization of household rubbish or garbage and other organic waste products for the production of methane gas

    SciTech Connect (OSTI)

    Hunziker, M.; Schildknecht, A.

    1985-04-16

    Non-organic substances are separated from household garbage and the organic substances are fed in proportioned manner into a mixing tank and converted into slurry by adding liquid. The slurry is crushed for homogenization purposes in a crushing means and passed into a closed holding container. It is then fed over a heat exchanger and heated to 55/sup 0/ to 60/sup 0/ C. The slurry passes into a plurality of reaction vessels in which the methane gas and carbon dioxide are produced. In a separating plant, the mixture of gaseous products is broken down into its components and some of the methane gas is recycled by bubbling it through both the holding tank and the reaction tank, the remainder being stored in gasholders. The organic substances are degraded much more rapidly through increasing the degradation temperature and as a result constructional expenditure can be reduced.

  2. Emissions of polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans from the open burning of household waste in barrels

    SciTech Connect (OSTI)

    Lemieux, P.M.; Lutes, C.C.; Abbott, J.A.; Aldous, K.M.

    2000-02-01

    Backyard burning of household waste in barrels is a common waste disposal practice for which pollutant emissions have not been well characterized. This study measured the emissions of several pollutants, including polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans (PCDDs/PCDFs), from burning mixtures designed to simulate waste generated by a recycling and a nonrecycling family in a 208-L (55-gal) burn barrel at the EPA's Open Burning Test Facility. This paper focuses on the PCDD/PCDF emissions and discusses the factors influencing PCDD/PCDF formation for different test burns. Four test burns were made in which the amount of waste placed in the barrel varied from 6.4 to 13.6 kg and the amount actually burned varied from 46.6% to 68.1%. Emissions of total PCDDs/PCDFs ranged between 0.0046 and 0.48 mg/kg of waste burned. Emissions are also presented in terms of 2,3,7,8-TCDD toxic equivalents. Emissions of PCDDs/PCDFs appear to correlate with both copper and hydrochloric acid emissions. The results of this study indicate that backyard burning emits more PCDDs/PCDFs on a mass of refuse burned basis than various types of municipal waste combustors (MWCs). Comparison of burn barrel emissions to emissions from a hypothetical modern MWC equipped with high-efficiency flue gas cleaning technology indicates that about 2--40 households burning their trash daily in barrels can produce average PCDD/PCDF emissions comparable to a 182,000 kg/day (200 ton/day) MWC facility. This study provides important data on a potentially significant source of emissions of PCDDs/PCDFs.

  3. Investigations of initiation spot size effects

    SciTech Connect (OSTI)

    Clarke, Steven A; Akinci, Adrian A; Leichty, Gary; Schaffer, Timothy; Murphy, Michael J; Munger, Alan; Thomas, Keith A

    2010-01-01

    As explosive components become smaller, a greater understanding of the effect of initiation spot size on detonation becomes increasingly critical. A series of tests of the effect of initiation spot size will be described. A series of DOI (direct optical initiation) detonators with initiation spots sizes from {approx}50 um to 1000um have been tested to determine laser parameters for threshold firing of low density PETN pressings. Results will be compared with theoretical predictions. Outputs of the initiation source (DOI ablation) have been characterized by a suite of diagnostics including PDV and schlieren imaging. Outputs of complete detonators have been characterized using PDV, streak, and/or schlieren imaging. At present, we have not found the expected change in the threshold energy to spot size relationship for DOI type detonators found in similar earlier for projectiles, slappers and EBWs. New detonators designs (Type C) are currently being tested that will allow the determination of the threshold for spot sizes from 250 um to 105um, where we hope to see change in the threshold vs. spot size relationship. Also, one test of an extremely small diameter spot size (50um) has resulted in preliminary NoGo only results even at energy densities as much as 8 times the energy density of the threshold results presented here. This gives preliminary evidence that 50um spot may be beyond the critical initiation diameter. The constant threshold energy to spot size relationship in the data to date does however still give some insight into the initiation mechanism of DOI detonators. If the DOI initiation mechanism were a 1D mechanism similar to a slapper or a flyer impact, the expected inflection point in the graph would have been between 300um and 500um diameter spot size, within the range of the data presented here. The lack of that inflection point indicates that the DOI initiation mechanism is more likely a 2D mechanism similar to a sphere or rod projectile. We expect to see a three region response as the results from the smaller spot size Type C detonators are completed.

  4. Impact of aerosol size representation on modeling aerosol-cloud interactions

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

    Zhang, Y.; Easter, R. C.; Ghan, S. J.; Abdul-Razzak, H.

    2002-11-07

    In this study, we use a 1-D version of a climate-aerosol-chemistry model with both modal and sectional aerosol size representations to evaluate the impact of aerosol size representation on modeling aerosol-cloud interactions in shallow stratiform clouds observed during the 2nd Aerosol Characterization Experiment. Both the modal (with prognostic aerosol number and mass or prognostic aerosol number, surface area and mass, referred to as the Modal-NM and Modal-NSM) and the sectional approaches (with 12 and 36 sections) predict total number and mass for interstitial and activated particles that are generally within several percent of references from a high resolution 108-section approach.more » The modal approach with prognostic aerosol mass but diagnostic number (referred to as the Modal-M) cannot accurately predict the total particle number and surface areas, with deviations from the references ranging from 7-161%. The particle size distributions are sensitive to size representations, with normalized absolute differences of up to 12% and 37% for the 36- and 12-section approaches, and 30%, 39%, and 179% for the Modal-NSM, Modal-NM, and Modal-M, respectively. For the Modal-NSM and Modal-NM, differences from the references are primarily due to the inherent assumptions and limitations of the modal approach. In particular, they cannot resolve the abrupt size transition between the interstitial and activated aerosol fractions. For the 12- and 36-section approaches, differences are largely due to limitations of the parameterized activation for non-log-normal size distributions, plus the coarse resolution for the 12-section case. Differences are larger both with higher aerosol (i.e., less complete activation) and higher SO2 concentrations (i.e., greater modification of the initial aerosol distribution).« less

  5. The impact of rising energy prices on household energy consumption and expenditure patterns: The Persian Gulf crisis as a case example

    SciTech Connect (OSTI)

    Henderson, L.J. ); Poyer, D.A.; Teotia, A.P.S. . Energy Systems Div.)

    1992-09-01

    The Iraqi invasion of Kuwait and the subsequent war between Iraq and an international alliance led by the United States triggered immediate increases in world oil prices. Increases in world petroleum prices and in US petroleum imports resulted in higher petroleum prices for US customers. In this report, the effects of the Persian Gulf War and its aftermath are used to demonstrate the potential impacts of petroleum price changes on majority, black, and Hispanic households, as well as on poor and nonpoor households. The analysis is done by using the Minority Energy Assessment Model developed by Argonne National Laboratory for the US Department of Energy (DOE). The differential impacts of these price increases and fluctuations on poor and minority households raise significant issues for a variety of government agencies, including DOE. Although the Persian Gulf crisis is now over and world oil prices have returned to their prewar levels, the differential impacts of rising energy prices on poor and minority households as a result of any future crisis in the world oil market remains a significant long-term issue.

  6. Sizing a New Water Heater | Department of Energy

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

    Sizing a New Water Heater Sizing a New Water Heater Is your water heater the right size for you house? | Photo credit ENERGY STAR Is your water heater the right size for you ...

  7. EIA - Household Transportation report: Household Vehicles Energy...

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

    National Research Council, Effectiveness and Impact of Corporate Average Fuel Economy (CAFE) Standards (Washington, DC: National Academy of Sciences, 2002), p. 85. 4 8.3 million...

  8. Size separation of analytes using monomeric surfactants

    DOE Patents [OSTI]

    Yeung, Edward S.; Wei, Wei

    2005-04-12

    A sieving medium for use in the separation of analytes in a sample containing at least one such analyte comprises a monomeric non-ionic surfactant of the of the general formula, B-A, wherein A is a hydrophilic moiety and B is a hydrophobic moiety, present in a solvent at a concentration forming a self-assembled micelle configuration under selected conditions and having an aggregation number providing an equivalent weight capable of effecting the size separation of the sample solution so as to resolve a target analyte(s) in a solution containing the same, the size separation taking place in a chromatography or electrophoresis separation system.

  9. Strategic Petroleum Reserve: Analysis of size options

    SciTech Connect (OSTI)

    Not Available

    1990-02-01

    This report presents the results of the deliberations of the interagency group formed to study the costs and benefits of expanding the size of the SPR. The study concentrated on severe oil supply disruptions involving sharp reductions in world oil production that were 2 to 4 times larger than the largest 1970s interruption. The disruption sizes and estimated probability of occurrence of these scenarios were supplied by the CIA. The most critical part of the CIA's analysis was the assessment of likelihood of these cases occurring. The CIA approached the likelihood problem by combining an examination of past oil supply disruptions with qualitative analysis of important oil market and regional trends. The study group then used statistical techniques and probability distributions to synthesize the historical data with CIA evaluations of as yet unobserved events. The SPR size study assumed direct purchases of SPR oil and did not assume the use of alternative financing mechanisms. Members of the working group with foreign policy and national security responsibilities provided an in-depth review of strategic considerations affecting SPR size. A number of prior studies, some classified, have addressed the strategic importance and insurance value of the SPR to the US and its allies. The results of these studies have also been incorporated in the current effort. 10 refs., 5 figs.

  10. " Row: Employment Sizes within NAICS Codes...

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

    " 311 - 339","ALL MANUFACTURING INDUSTRIES" ,"Employment Size" ," Under 50",395.7,4.3,2.3,3.6 ," 50-99",663.4,6.8,3.3,5 ," 100-249",905.8,7.9,3.8,3.6 ," 250-499",1407.1,11.1,5....

  11. " Row: Employment Sizes within NAICS Codes...

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

    " 311 - 339","ALL MANUFACTURING INDUSTRIES" ,"Employment Size" ," Under 50",625.5,3.3,1.7 ," 50-99",882.3,5.8,2.5 ," 100-249",1114.9,5.8,2.5 ," 250-499",2250.4,8,3.7 ," ...

  12. S:\VM3\RX97\TBL_LIST.WPD

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

    Space Heating Tables (Percent of U.S. Households; 24 pages, 85 kb) Contents Pages HC3-1b. Space Heating by Climate Zone, Percent of U.S. Households, 1997 2 HC3-2b. Space Heating by Year of Construction, Percent of U.S. Households, 1997 2 HC3-3b. Space Heating by Household Income, Percent of U.S. Households, 1997 2 HC3-4b. Space Heating by Type of Housing Unit, Percent of U.S. Households, 1997 2 HC3-5b. Space Heating by Type of Owner-Occupied Housing Unit, Percent of U.S. Households, 1997 2

  13. Table 2.4 Household Energy Consumption by Census Region, Selected Years, 1978-2009 (Quadrillion Btu, Except as Noted)

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

    Household 1 Energy Consumption by Census Region, Selected Years, 1978-2009 (Quadrillion Btu, Except as Noted) Census Region 2 1978 1979 1980 1981 1982 1984 1987 1990 1993 1997 2001 2005 2009 United States Total (does not include wood) 10.56 9.74 9.32 9.29 8.58 9.04 9.13 9.22 10.01 10.25 9.86 10.55 10.18 Natural Gas 5.58 5.31 4.97 5.27 4.74 4.98 4.83 4.86 5.27 5.28 4.84 4.79 4.69 Electricity 3 2.47 2.42 2.48 2.42 2.35 2.48 2.76 3.03 3.28 3.54 3.89 4.35 4.39 Distillate Fuel Oil and Kerosene 2.19

  14. User interface in ORACLE for the Worldwide Household Goods Information System for Transportation Modernization (WHIST-MOD)

    SciTech Connect (OSTI)

    James, T. ); Loftis, J. )

    1990-07-01

    The Directorate of Personal Property of the Military Traffic Management Command (MTMC) requested that Oak Ridge National laboratory (ORNL) design a prototype decision support system, the Worldwide Household Goods Information System for Transportation Modernization (WHIST-MOD). This decision support system will automate current tasks and provide analysis tools for evaluating the Personal Property Program, predicting impacts to the program, and planning modifications to the program to meet the evolving needs of military service members and the transportation industry. The system designed by ORNL consists of three application modules: system dictionary applications, data acquisition and administration applications, and user applications. The development of the user applications module is divided into two phases. Round 1 is the data selection front-end interface, and Round 2 is the output or back-end interface. This report describes the prototyped front-end interface for the user application module. It discusses user requirements and the prototype design. The information contained in this report is the product of in-depth interviews with MTMC staff, prototype meetings with the users, and the research and design work conducted at ORNL. 18 figs., 2 tabs.

  15. Comparing Server Energy Use and Efficiency Using Small Sample Sizes

    SciTech Connect (OSTI)

    Coles, Henry C.; Qin, Yong; Price, Phillip N.

    2014-11-01

    This report documents a demonstration that compared the energy consumption and efficiency of a limited sample size of server-type IT equipment from different manufacturers by measuring power at the server power supply power cords. The results are specific to the equipment and methods used. However, it is hoped that those responsible for IT equipment selection can used the methods described to choose models that optimize energy use efficiency. The demonstration was conducted in a data center at Lawrence Berkeley National Laboratory in Berkeley, California. It was performed with five servers of similar mechanical and electronic specifications; three from Intel and one each from Dell and Supermicro. Server IT equipment is constructed using commodity components, server manufacturer-designed assemblies, and control systems. Server compute efficiency is constrained by the commodity component specifications and integration requirements. The design freedom, outside of the commodity component constraints, provides room for the manufacturer to offer a product with competitive efficiency that meets market needs at a compelling price. A goal of the demonstration was to compare and quantify the server efficiency for three different brands. The efficiency is defined as the average compute rate (computations per unit of time) divided by the average energy consumption rate. The research team used an industry standard benchmark software package to provide a repeatable software load to obtain the compute rate and provide a variety of power consumption levels. Energy use when the servers were in an idle state (not providing computing work) were also measured. At high server compute loads, all brands, using the same key components (processors and memory), had similar results; therefore, from these results, it could not be concluded that one brand is more efficient than the other brands. The test results show that the power consumption variability caused by the key components as a group is similar to all other components as a group. However, some differences were observed. The Supermicro server used 27 percent more power at idle compared to the other brands. The Intel server had a power supply control feature called cold redundancy, and the data suggest that cold redundancy can provide energy savings at low power levels. Test and evaluation methods that might be used by others having limited resources for IT equipment evaluation are explained in the report.

  16. Shoreline, grain-size, and total-carbon distribution changes before and after Hurricane Alicia, Galveston Island, Texas, 1983

    SciTech Connect (OSTI)

    Rothammer, C.M.; Morrison, L.R.; Warkentin, S.L.

    1985-02-01

    Shoreline, grain-size, and sediment total-carbon changes were monitored, on a monthly basis, on three Galveston Island beaches, from January through December 1983. The study area included: (1) East Beach, obstructed by groins and a seawall; (2) Galveston Island State Park, obstructed by fences artificially stabilizing the dunes; and (3) West Beach, an unobstructed beach. Beach profiles revealed the effects of beach obstruction, such as erosion and undercutting at East Beach, and truncation of the dunes at Galveston Island State Park. Approximately 20 m of expansional cutback occurred on the beaches after Hurricane Alicia hit on August 18, 1983. Contour maps of grain-size and total-carbon distributions reflect the movement of beach sand by either onshore-offshore transport during low-energy periods, or longshore, edge-wave transport during high-energy periods. Statistical analyses revealed a small variation in grain size throughout the year. There were well-defined times of either no correlation or strong correlation between total carbon vs. mean grain size, skewness vs. mean grain size, kurtosis vs. mean grain size, skewness vs. mean grain size, kurtosis vs. mean grain size, total carbon vs. percent sand, total carbon vs. skewness, and skewness vs. kurtosis. Strong correlation was found in response to high-energy events, whereas no correlation was found in response to low-energy events. Galveston Island is undergoing net erosion and appears to be in a metastable state, still capable of responding to oceanographic conditions. The economic effects of Hurricane Alicia include considerable loss of the shoreline and destruction of property. Beach nourishment appears to be the only economically feasible solution to counteract the extensive erosion.

  17. Small- and Medium-Size Building Automation and Control System...

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

    Small- and Medium-Size Building Automation and Control System Needs: Scoping Study Small- and Medium-Size Building Automation and Control System Needs: Scoping Study Michael ...

  18. Real-Time Simultaneous Measurements of Size, Density, and Composition...

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

    Simultaneous Measurements of Size, Density, and Composition of Single Ultrafine Diesel Tailpipe Particles Real-Time Simultaneous Measurements of Size, Density, and Composition of ...

  19. Reduce Pumping Costs Through Optimum Pipe Sizing | Department...

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

    Reduce Pumping Costs Through Optimum Pipe Sizing This tip sheet discusses how to reduce pumping system costs through optimum pipe sizing. PUMPING SYSTEMS TIP SHEET 9 PDF icon ...

  20. Scalable Heuristics for Planning, Placement and Sizing of Flexible...

    Office of Scientific and Technical Information (OSTI)

    Sizing of Flexible AC Transmission System Devices Citation Details In-Document Search Title: Scalable Heuristics for Planning, Placement and Sizing of Flexible AC Transmission ...