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Sample records for resulting fuel consumption

  1. Emissions and Fuel Consumption Test Results from a Plug-In Hybrid...

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

    Fuel Consumption Test Results from a Plug-In Hybrid Electric School Bus Emissions and Fuel Consumption Test Results from a Plug-In Hybrid Electric School Bus 2010 DOE Vehicle ...

  2. ,"Total Fuel Oil Consumption

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

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

  3. ,"Total Fuel Oil Consumption

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

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

  4. ,"Fuel Oil Consumption",,,"Fuel Oil Expenditures"

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

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

  5. ,"Fuel Oil Consumption",,,"Fuel Oil Expenditures"

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

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

  6. Fuel Oil",,,"Fuel Oil Consumption",,"Fuel Oil Expenditures"

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

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

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

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

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

  8. ,"Nevada Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Data for" ,"Data 1","Nevada Natural Gas Vehicle Fuel Consumption ... 1:24:58 AM" "Back to Contents","Data 1: Nevada Natural Gas Vehicle Fuel Consumption ...

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

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

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

  10. ,"Oklahoma Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Data for" ,"Data 1","Oklahoma Natural Gas Vehicle Fuel Consumption ... 12:00:19 PM" "Back to Contents","Data 1: Oklahoma Natural Gas Vehicle Fuel Consumption ...

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

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

    Data for" ,"Data 1","Kansas Natural Gas Vehicle Fuel Consumption ... 7:09:38 AM" "Back to Contents","Data 1: Kansas Natural Gas Vehicle Fuel Consumption ...

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

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

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

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

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

    Data for" ,"Data 1","Texas Natural Gas Vehicle Fuel Consumption ... 7:09:53 AM" "Back to Contents","Data 1: Texas Natural Gas Vehicle Fuel Consumption ...

  14. New York Natural Gas Lease Fuel Consumption (Million Cubic Feet...

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

    Fuel Consumption (Million Cubic Feet) New York Natural Gas Lease Fuel Consumption (Million ... Referring Pages: Natural Gas Lease Fuel Consumption New York Natural Gas Consumption by ...

  15. New Mexico Natural Gas Lease Fuel Consumption (Million Cubic...

    Gasoline and Diesel Fuel Update (EIA)

    Fuel Consumption (Million Cubic Feet) New Mexico Natural Gas Lease Fuel Consumption ... Referring Pages: Natural Gas Lease Fuel Consumption New Mexico Natural Gas Consumption by ...

  16. New Mexico Natural Gas Plant Fuel Consumption (Million Cubic...

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

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

  17. Virginia Natural Gas Lease Fuel Consumption (Million Cubic Feet...

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

    Fuel Consumption (Million Cubic Feet) Virginia Natural Gas Lease Fuel Consumption (Million ... Referring Pages: Natural Gas Lease Fuel Consumption Virginia Natural Gas Consumption by ...

  18. West Virginia Natural Gas Lease Fuel Consumption (Million Cubic...

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

    Fuel Consumption (Million Cubic Feet) West Virginia Natural Gas Lease Fuel Consumption ... Referring Pages: Natural Gas Lease Fuel Consumption West Virginia Natural Gas Consumption ...

  19. North Dakota Natural Gas Lease Fuel Consumption (Million Cubic...

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

    Fuel Consumption (Million Cubic Feet) North Dakota Natural Gas Lease Fuel Consumption ... Referring Pages: Natural Gas Lease Fuel Consumption North Dakota Natural Gas Consumption ...

  20. Using Fuel Oil",,,"Fuel Oil Consumption",,"Fuel Oil Expenditures...

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

    . Total Fuel Oil Consumption and Expenditures for Non-Mall Buildings, 2003" ,"All Buildings* Using Fuel Oil",,,"Fuel Oil Consumption",,"Fuel Oil Expenditures" ,"Number of Buildings...

  1. Using Fuel Oil",,,"Fuel Oil Consumption",,"Fuel Oil Expenditures...

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

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

  2. Chapter 4. Fuel Economy, Consumption and Expenditures

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

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

  3. Table 3.3 Fuel Consumption, 2010;

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

    3 Fuel Consumption, 2010; Level: National and Regional Data; Row: Values of Shipments and ... Next MECS will be fielded in 2015 Table 3.3 Fuel Consumption, 2010; Level: National and ...

  4. Table 3.1 Fuel Consumption, 2010;

    Gasoline and Diesel Fuel Update (EIA)

    1 Fuel Consumption, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: ... Next MECS will be fielded in 2015 Table 3.1 Fuel Consumption, 2010; Level: National and ...

  5. Table 3.2 Fuel Consumption, 2010;

    Gasoline and Diesel Fuel Update (EIA)

    2 Fuel Consumption, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: ... Next MECS will be fielded in 2015 Table 3.2 Fuel Consumption, 2010; Level: National and ...

  6. Reducing fuel consumption on the field, by continuously measuring fuel

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

    quality on electronically fuel injected engines. | Department of Energy fuel consumption on the field, by continuously measuring fuel quality on electronically fuel injected engines. Reducing fuel consumption on the field, by continuously measuring fuel quality on electronically fuel injected engines. Poster presented at the 16th Directions in Engine-Efficiency and Emissions Research (DEER) Conference in Detroit, MI, September 27-30, 2010. p-03_flot.pdf (270.06 KB) More Documents &

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

  13. North Dakota Natural Gas Vehicle Fuel Consumption (Million Cubic...

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

    Vehicle Fuel Consumption (Million Cubic Feet) North Dakota Natural Gas Vehicle Fuel ... Natural Gas Delivered to Vehicle Fuel Consumers North Dakota Natural Gas Consumption by ...

  14. Hydraulic HEV Fuel Consumption Potential

    Broader source: Energy.gov [DOE]

    2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

  15. Consumption

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

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

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

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

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

  17. Fact #861 February 23, 2015 Idle Fuel Consumption for Selected...

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

    1 February 23, 2015 Idle Fuel Consumption for Selected Gasoline and Diesel Vehicles Fact 861 February 23, 2015 Idle Fuel Consumption for Selected Gasoline and Diesel Vehicles ...

  18. Fact #706: December 19, 2011 Vocational Vehicle Fuel Consumption...

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

    6: December 19, 2011 Vocational Vehicle Fuel Consumption Standards Fact 706: December 19, 2011 Vocational Vehicle Fuel Consumption Standards The National Highway Traffic Safety ...

  19. Fact #705: December 12, 2011 Fuel Consumption Standards for Combinatio...

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

    published a final rule setting fuel consumption standards for heavy trucks in September ... Combination Tractor Fuel Consumption Standards, Model Years (MY) 2014-2017 Graph showing ...

  20. Fact #861 February 23, 2015 Idle Fuel Consumption for Selected...

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

    1 February 23, 2015 Idle Fuel Consumption for Selected Gasoline and Diesel Vehicles - Dataset Fact 861 February 23, 2015 Idle Fuel Consumption for Selected Gasoline and Diesel ...

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

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

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

  2. Fossil Fuel-Generated Energy Consumption Reduction for New Federal...

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

    Fossil Fuel-Generated Energy Consumption Reduction for New Federal Buildings and Major Renovations of Federal Buildings Document details Fossil Fuel-Generated Energy Consumption ...

  3. Effect Of Platooning on Fuel Consumption of Class 8 Vehicles...

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

    with the goal of reducing fuel consumption, traffc congestion, and possibly collisions. ... they will be at reducing fuel consumption in the real world and under what ...

  4. West Virginia Natural Gas Plant Fuel Consumption (Million Cubic...

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

    Fuel Consumption (Million Cubic Feet) West Virginia Natural Gas Plant Fuel Consumption ... Release Date: 06302016 Next Release Date: 07292016 Referring Pages: Natural Gas Plant ...

  5. Utah Natural Gas Plant Fuel Consumption (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Fuel Consumption (Million Cubic Feet) Utah Natural Gas Plant Fuel Consumption (Million ... Release Date: 06302016 Next Release Date: 07292016 Referring Pages: Natural Gas Plant ...

  6. Alabama Natural Gas Plant Fuel Consumption (Million Cubic Feet...

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

    Fuel Consumption (Million Cubic Feet) Alabama Natural Gas Plant Fuel Consumption (Million ... Release Date: 06302016 Next Release Date: 07292016 Referring Pages: Natural Gas Plant ...

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

    Open Energy Info (EERE)

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

  8. New Mexico Natural Gas Lease and Plant Fuel Consumption (Million...

    Gasoline and Diesel Fuel Update (EIA)

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

  9. New York Natural Gas Lease and Plant Fuel Consumption (Million...

    Gasoline and Diesel Fuel Update (EIA)

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

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

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

    in this table do not include enclosed malls and strip malls. In the 1999 CBECS, total fuel oil consumption in malls was not statistically significant. (*)Value rounds to zero...

  11. Consumption

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

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

  12. Consumption

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

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

  13. Fossil Fuel-Generated Energy Consumption Reduction for New Federal...

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

    Consumption Reduction for New Federal Buildings and Major Renovations of Federal Buildings OIRA Comparison Document Document details the Fossil Fuel-Generated Energy Consumption ...

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

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

    Consumption Ratios of Fuel, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ...

  15. Table 6.2 Consumption Ratios of Fuel, 2002

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

    Consumption Ratios of Fuel, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ...

  16. Table 5.6 End Uses of Fuel Consumption, 2010;

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

    6 End Uses of Fuel Consumption, 2010; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil ...

  17. Table 5.2 End Uses of Fuel Consumption, 2010;

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

    2 End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel ...

  18. Reducing fuel consumption on the field, by continuously measuring...

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

    More Documents & Publications Impact of Real Field Diesel Quality Variability on Engine Emissions and Fuel Consumption Solutions for Onboard Optimisation On Board Fuel Quality ...

  19. North Dakota Natural Gas Vehicle Fuel Consumption (Million Cubic...

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

    Release Date: 06302016 Next Release Date: 07292016 Referring Pages: Natural Gas Delivered to Vehicle Fuel Consumers North Dakota Natural Gas Consumption by End Use Vehicle Fuel ...

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

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

    ...","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Vehicle Fuel Consumption ... 8:42:41 AM" "Back to Contents","Data 1: New Mexico Natural Gas Vehicle Fuel Consumption ...

  1. ,"New Jersey Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    ...","Frequency","Latest Data for" ,"Data 1","New Jersey Natural Gas Vehicle Fuel Consumption ... 8:42:40 AM" "Back to Contents","Data 1: New Jersey Natural Gas Vehicle Fuel Consumption ...

  2. ,"New York Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    ...","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Vehicle Fuel Consumption ... 8:42:43 AM" "Back to Contents","Data 1: New York Natural Gas Vehicle Fuel Consumption ...

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

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

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

  4. Table 4.2 Offsite-Produced Fuel Consumption, 2010

    Gasoline and Diesel Fuel Update (EIA)

    4.2 Offsite-Produced Fuel Consumption, 2010; Level: National and Regional Data; Row: NAICS ... 2015 Table 4.2 Offsite-Produced Fuel Consumption, 2010; Level: National and Regional ...

  5. Table 4.1 Offsite-Produced Fuel Consumption, 2010;

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

    4.1 Offsite-Produced Fuel Consumption, 2010; Level: National and Regional Data; Row: NAICS ... Next MECS will be fielded in 2015 Table 4.1 Offsite-Produced Fuel Consumption, 2010; ...

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

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

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

  7. Alabama Natural Gas Lease and Plant Fuel Consumption (Million...

    Gasoline and Diesel Fuel Update (EIA)

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

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

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

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

  9. West Virginia Natural Gas Lease and Plant Fuel Consumption (Million...

    Gasoline and Diesel Fuel Update (EIA)

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

  10. Washington Natural Gas Lease and Plant Fuel Consumption (Million...

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

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

  11. Utah Natural Gas Lease and Plant Fuel Consumption (Million Cubic...

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

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

  12. Fuel Consumption and NOx Trade-offs on a Port-Fuel-Injected SI...

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

    Consumption and NOx Trade-offs on a Port-Fuel-Injected SI Gasoline Engine Equipped with a Lean-NOx Trap Fuel Consumption and NOx Trade-offs on a Port-Fuel-Injected SI Gasoline ...

  13. Table 3.3 Fuel Consumption, 2002

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

    3 Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," " " "," ",," "," ",," "," ",," ","RSE"

  14. Consumption

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

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

  15. Table 5.5 End Uses of Fuel Consumption, 2010;

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

    5 End Uses of Fuel Consumption, 2010; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate ...

  16. Table 5.4 End Uses of Fuel Consumption, 2010;

    Gasoline and Diesel Fuel Update (EIA)

    End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. ...

  17. Table 5.8 End Uses of Fuel Consumption, 2010;

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

    End Uses of Fuel Consumption, 2010; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate ...

  18. Table 5.7 End Uses of Fuel Consumption, 2010;

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

    End Uses of Fuel Consumption, 2010; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. ...

  19. Table 5.3 End Uses of Fuel Consumption, 2010;

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

    End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or ...

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

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

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

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

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

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

  2. ,"New Mexico Natural Gas Lease and Plant Fuel Consumption (MMcf...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Lease and Plant Fuel Consumption (MMcf)",1,"Annual",1998 ,"Release...

  3. ,"New Mexico Natural Gas Lease Fuel Consumption (MMcf)"

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

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

  4. Fact #706: December 19, 2011 Vocational Vehicle Fuel Consumption Standards

    Office of Energy Efficiency and Renewable Energy (EERE)

    The National Highway Traffic Safety Administration recently published final fuel consumption standards for heavy vehicles called "vocational" vehicles. A vocational vehicle is generally a single...

  5. ,"New Hampshire Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Hampshire Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","62016" ,"Release ...

  6. Reducing Light Duty Vehicle Fuel Consumption and Greenhouse Gas...

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

    and Greenhouse Gas Emissions: The Combined Potential of Hybrid Technology and Behavioral Adaptation Title Reducing Light Duty Vehicle Fuel Consumption and Greenhouse Gas...

  7. Table 4a. Total Fuel Oil Consumption per Effective Occupied Square...

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

    Table 4a. Total Fuel Oil Consumption per Effective Occupied Square Foot, 1992 Building Characteristics All Buildings Using Fuel Oil (thousand) Total Fuel Oil Consumption (trillion...

  8. South Dakota Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    South Dakota Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring Pages: Natural Gas Plant Fuel Consumption South Dakota Natural Gas Consumption by End Use Plant Fuel Consumption of Natural Gas

  9. Nevada Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Nevada Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 1990's 0 53 30 21 16 13 11 9 9 8 2000's 7 7 6 6 5 5 5 5 4 4 2010's 4 3 4 3 3 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring Pages: Natural Gas Lease Fuel Consumption

  10. Maryland Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Maryland Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1 2 1 1 2 1 1 1990's 1 0 0 1 1 1 3 3 1 1 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring Pages: Natural Gas Lease Fuel Consumption

  11. Missouri Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Missouri Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 0 0 1990's 0 0 1 0 0 0 1 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring Pages: Natural Gas Lease Fuel Consumption

  12. Tennessee Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Tennessee Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 0 0 0 0 1990's 6 3 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 148 145 150 142 128 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring Pages: Natural Gas Plant Fuel Consumption

  13. RECENT TRENDS IN EMERGING TRANSPORTATION FUELS AND ENERGY CONSUMPTION

    SciTech Connect (OSTI)

    Bunting, Bruce G

    2012-01-01

    Abundance of energy can be improved both by developing new sources of fuel and by improving efficiency of energy utilization, although we really need to pursue both paths to improve energy accessibility in the future. Currently, 2.7 billion people or 38% of the world s population do not have access to modern cooking fuel and depend on wood or dung and 1.4 billion people or 20% do not have access to electricity. It is estimated that correcting these deficiencies will require an investment of $36 billion dollars annually through 2030. In growing economies, energy use and economic growth are strongly linked, but energy use generally grows at a lower rate due to increased access to modern fuels and adaptation of modern, more efficient technology. Reducing environmental impacts of increased energy consumption such as global warming or regional emissions will require improved technology, renewable fuels, and CO2 reuse or sequestration. The increase in energy utilization will probably result in increased transportation fuel diversity as fuels are shaped by availability of local resources, world trade, and governmental, environmental, and economic policies. The purpose of this paper is to outline some of the recently emerging trends, but not to suggest winners. This paper will focus on liquid transportation fuels, which provide the highest energy density and best match with existing vehicles and infrastructure. Data is taken from a variety of US, European, and other sources without an attempt to normalize or combine the various data sources. Liquid transportation fuels can be derived from conventional hydrocarbon resources (crude oil), unconventional hydrocarbon resources (oil sands or oil shale), and biological feedstocks through a variety of biochemical or thermo chemical processes, or by converting natural gas or coal to liquids.

  14. Table 5.1 End Uses of Fuel Consumption, 2010;

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

    5.1 End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. ...

  15. Complex System Method to Assess Commercial Vehicle Fuel Consumption |

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

    Department of Energy Complex System Method to Assess Commercial Vehicle Fuel Consumption Complex System Method to Assess Commercial Vehicle Fuel Consumption Two case studies for commercial vehicle applications compare a baseline, contemporary vehicle with advanced, future options. p-08_kasab.pdf (273.12 KB) More Documents & Publications Particle Number & Particulate Mass Emissions Measurements on a 'Euro VI' Heavy-duty Engine using the PMP Methodologies A High Temperature Direct

  16. Demonstrating Fuel Consumption and Emissions Reductions with...

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

    Presents a next generation model-based engine controller that incorporates real-time fuel efficiency optimization and tested under fully transient engine and vehicle operating ...

  17. Computerized simulation of fuel consumption in the agriculture industry

    SciTech Connect (OSTI)

    Fontana, C.; Rotz, C.A.

    1982-07-01

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

  18. Nebraska Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Nebraska Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 34 35 30 19 31 21 13 1990's 0 14 9 0 3 2 3 7 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring Pages: Natural Gas Plant Fuel

  19. Vermont Natural Gas Vehicle Fuel Consumption (Million Cubic Feet)

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

    Vehicle Fuel Consumption (Million Cubic Feet) Vermont Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0 0 0 2000's 0 1 1 1 1 0 W 1 1 2010's 1 3 3 3 3 3 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring Pages: Natural Gas Delivered to Vehicle Fuel Consumers Vermont

  20. Maine Natural Gas Vehicle Fuel Consumption (Million Cubic Feet)

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

    Vehicle Fuel Consumption (Million Cubic Feet) Maine Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0 100 0 2000's 0 0 0 0 0 0 0 0 1 2010's 1 1 1 1 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring Pages: Natural Gas Delivered to Vehicle Fuel Consumers Maine Natural

  1. Fuel consumption of freight trains hauled by diesel electric locomotives

    SciTech Connect (OSTI)

    Radford, R.W.

    1983-05-01

    The cost of railway diesel fuel has become an increasingly high proportion of railway operating expenses. The paper analyzes the generation and utilization of rail horsepower in freight train operations. The effects on fuel consumption of variations in several parameters including train consist, car weight, gradient, average speed, meet strategy, throttle control, locomotive axle arrangement, and train marshalling are examined. Estimates are made of the value, in terms of fuel cost, of weight reduction of freight cars and of selective train marshalling.

  2. Table 4b. Relative Standard Errors for Total Fuel Oil Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    4b. Relative Standard Errors for Total Fuel Oil Consumption per Effective Occupied Square Foot, 1992 Building Characteristics All Buildings Using Fuel Oil (thousand) Total Fuel Oil...

  3. Nebraska Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Nebraska Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 60 70 57 40 43 26 21 1990's 26 17 31 56 86 58 43 38 37 29 2000's 31 29 295 286 302 236 176 182 395 359 2010's 331 287 194 194 62 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016

  4. Ohio Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Ohio Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 50 63 71 69 96 88 87 1990's 14 14 16 20 36 32 37 39 40 42 2000's 43 40 37 17 18 12 8 5 0 0 2010's 0 0 127 202 468 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring Pages: Natural

  5. Oregon Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Oregon Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 120 131 130 115 59 1990's 93 60 68 118 95 66 40 0 0 0 2000's 49 42 40 43 27 21 24 23 26 26 2010's 31 39 44 44 25 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring Pages:

  6. Pennsylvania Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Pennsylvania Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 158 171 148 171 205 191 218 1990's 156 159 341 235 116 181 217 253 222 274 2000's 208 272 251 343 395 483 549 495 575 599 2010's 881 963 2,529 9,200 11,602 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next

  7. Indiana Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Indiana Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 4 12 11 10 7 12 10 1990's 13 5 5 6 2 5 8 12 13 18 2000's 23 26 51 38 74 97 108 101 161 211 2010's 283 433 506 506 177 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring Pages:

  8. Kentucky Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Kentucky Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 7,025 7,165 6,940 4,056 852 830 627 1990's 657 702 707 689 611 702 682 641 548 641 2000's 419 475 535 536 617 698 653 691 587 391 2010's 772 278 641 280 278 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next

  9. Montana Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Montana Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 439 457 542 437 449 474 519 1990's 557 518 423 295 206 168 168 188 208 235 2000's 218 396 249 512 606 697 820 816 788 771 2010's 800 604 612 645 657 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release

  10. Montana Natural Gas Vehicle Fuel Consumption (Million Cubic Feet)

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

    Vehicle Fuel Consumption (Million Cubic Feet) Montana Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 1990's 0 2 2 4 6 8 13 40 31 38 2000's 43 53 54 66 74 4 2 1 1 1 2010's 1 0 1 1 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring Pages: Natural Gas Delivered to

  11. Arkansas Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Arkansas Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 982 966 7,077 4,709 6,270 6,646 7,646 1990's 637 188 268 352 467 468 451 508 405 405 2000's 441 653 890 504 490 433 509 404 470 489 2010's 529 423 622 797 871 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next

  12. Delaware Natural Gas Vehicle Fuel Consumption (Million Cubic Feet)

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

    Vehicle Fuel Consumption (Million Cubic Feet) Delaware Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 1990's 0 0 0 0 1 1 1 21 27 33 2000's 37 46 46 56 63 9 6 5 4 1 2010's 1 1 1 1 1 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring Pages: Natural Gas Delivered to

  13. South Dakota Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) South Dakota Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 61 76 93 70 125 123 112 1990's 158 393 451 452 437 404 424 911 848 864 2000's 1,003 538 495 553 562 545 508 573 545 568 2010's 562 594 866 916 827 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release

  14. South Dakota Natural Gas Vehicle Fuel Consumption (Million Cubic Feet)

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

    Vehicle Fuel Consumption (Million Cubic Feet) South Dakota Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 1990's 0 2 5 7 5 4 4 10 8 10 2000's 10 13 13 16 18 0 W 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring Pages: Natural Gas Delivered

  15. Tennessee Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Tennessee Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 113 153 138 98 93 60 45 1990's 68 41 39 49 44 47 37 45 31 26 2000's 29 48 80 47 46 68 66 109 161 235 2010's 214 231 335 335 142 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016

  16. Nonresidential buildings energy consumption survey: 1979 consumption and expenditures. Part 2. Steam, fuel oil, LPG, and all fuels

    SciTech Connect (OSTI)

    Patinkin, L.

    1983-12-01

    This report presents data on square footage and on total energy consumption and expenditures for commercial buildings in the contiguous United States. Also included are detailed consumption and expenditures tables for fuel oil or kerosene, liquid petroleum gas (LPG), and purchased steam. Commercial buildings include all nonresidential buildings with the exception of those where industrial activities occupy more of the total square footage than any other type of activity. 7 figures, 23 tables.

  17. Table 4.3 Offsite-Produced Fuel Consumption, 2010;

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

    3 Offsite-Produced Fuel Consumption, 2010; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Energy Sources; Unit: Trillion Btu. Economic Residual Distillate Natural LPG and Coke and Characteristic(a) Total Electricity(b) Fuel Oil Fuel Oil(c) Gas(d) NGL(e) Coal Breeze Other(f) Total United States Value of Shipments and Receipts (million dollars) Under 20 1,038 314 6 53 445 14 25 Q 181 20-49 918 296 11 19 381 10 97 5 97 50-99 1,018 308 7 13 440 5 130 6 110

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

    Gasoline and Diesel Fuel Update (EIA)

    Maine Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012...

  19. Kansas Natural Gas Lease Fuel Consumption (Million Cubic Feet...

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

    Kansas Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 12,471 14,232 15,160 13,269 ...

  20. Fuel Consumption and NOx Trade-offs on a Port-Fuel-Injected SI Gasoline

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

    Engine Equipped with a Lean-NOx Trap | Department of Energy Consumption and NOx Trade-offs on a Port-Fuel-Injected SI Gasoline Engine Equipped with a Lean-NOx Trap Fuel Consumption and NOx Trade-offs on a Port-Fuel-Injected SI Gasoline Engine Equipped with a Lean-NOx Trap Lean-burn improves PFI fuel economy by ~3% relative to best stoichiometric VCT/EGR conditions, when used in combination with VCT & EGR. deer09_lymburner.pdf (522.69 KB) More Documents & Publications Vehicle

  1. North Dakota Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) North Dakota Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2,086 2,165 2,216 1,957 2,737 2,112 2,005 1990's 4,835 4,777 4,753 4,734 5,059 4,542 4,283 4,420 4,471 4,553 2000's 4,738 3,874 5,141 4,548 4,602 4,816 4,364 4,323 4,283 4,521 2010's 4,294 5,473 5,887 6,707 5,736 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure

  2. Ohio Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Ohio Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 4,327 5,678 5,371 5,174 5,706 4,781 3,789 1990's 5,115 1,462 1,434 1,346 1,296 1,251 1,193 1,162 1,085 1,035 2000's 986 983 972 936 894 833 855 872 840 879 2010's 773 781 836 1,079 4,247 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  3. Oklahoma Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Oklahoma Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 49,480 60,470 57,064 54,495 68,664 60,418 51,833 1990's 72,318 46,200 53,278 60,658 55,607 45,946 37,803 51,042 35,509 32,868 2000's 41,032 38,916 30,281 40,292 35,875 35,989 36,396 38,229 42,250 40,164 2010's 39,489 40,819 43,727 45,581 50,621 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  4. Oklahoma Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Oklahoma Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 29,750 31,237 31,121 29,705 35,751 40,508 38,392 1990's 39,249 42,166 39,700 39,211 35,432 34,900 35,236 30,370 26,034 25,055 2000's 25,934 28,266 25,525 26,276 27,818 27,380 28,435 28,213 27,161 24,089 2010's 23,238 24,938 27,809 32,119 36,231 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  5. Pennsylvania Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Pennsylvania Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3,385 5,065 4,427 4,544 5,594 4,792 4,549 1990's 5,875 3,343 3,040 3,910 3,136 2,888 3,082 2,022 1,484 3,675 2000's 5,111 5,469 6,154 4,156 4,277 4,341 5,855 5,112 6,801 11,753 2010's 19,805 46,784 79,783 115,630 112,847 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  6. Pennsylvania Natural Gas Lease and Plant Fuel Consumption (Million Cubic

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

    Feet) and Plant Fuel Consumption (Million Cubic Feet) Pennsylvania Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 2,270 1,530 1,924 1970's 2,251 2,419 2,847 2,725 1,649 1,760 3,043 3,210 2,134 2,889 1980's 1,320 1,580 3,278 3,543 5,236 4,575 4,715 5,799 4,983 4,767 1990's 6,031 3,502 3,381 4,145 3,252 3,069 3,299 2,275 1,706 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  7. Alabama Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Alabama Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3,600 4,154 4,227 4,139 5,314 5,021 4,277 1990's 6,171 4,907 8,391 8,912 9,381 10,468 10,492 7,020 7,650 9,954 2000's 10,410 9,593 9,521 11,470 11,809 11,291 12,045 11,345 11,136 10,460 2010's 10,163 10,367 12,389 12,456 10,055 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  8. Utah Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Utah Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,806 5,621 6,286 6,775 8,970 7,970 6,596 1990's 10,573 4,597 3,866 3,241 3,322 18,520 18,570 16,478 19,481 15,930 2000's 16,394 14,578 17,163 16,398 15,802 17,216 20,221 21,715 18,169 20,222 2010's 22,022 23,209 28,165 28,165 25,336 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  9. Kansas Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Kansas Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 25,430 25,873 27,297 25,616 28,804 29,357 29,665 1990's 22,499 30,800 26,312 36,294 28,988 28,510 30,444 26,205 20,921 19,321 2000's 16,664 10,928 11,723 9,706 6,460 8,100 7,541 5,439 2,331 2,126 2010's 2,102 2,246 2,268 2,189 1,983 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  10. Kentucky Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Kentucky Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,336 1,873 2,155 2,279 2,402 2,112 1,718 1990's 2,492 1,730 2,105 2,573 2,162 1,945 1,744 1,816 1,777 1,615 2000's 2,075 1,980 3,442 2,278 2,044 2,879 3,524 2,676 3,914 4,862 2010's 5,626 5,925 6,095 6,095 4,388 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  11. Louisiana Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Louisiana Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 153,850 179,291 153,777 141,098 178,271 150,519 121,991 1990's 175,439 111,793 134,088 147,888 140,571 133,825 144,486 156,387 131,595 111,203 2000's 130,550 37,811 34,285 51,254 48,308 45,543 49,124 61,368 52,941 56,656 2010's 59,336 80,983 54,463 57,549 58,034 - = No Data Reported; -- = Not Applicable; NA =

  12. Louisiana Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Plant Fuel Consumption (Million Cubic Feet) Louisiana Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 121,848 123,993 104,292 102,185 123,008 121,936 134,132 1990's 82,828 83,733 86,623 74,925 66,600 75,845 69,235 71,155 63,368 68,393 2000's 69,174 63,137 63,031 56,018 55,970 45,837 46,205 51,499 42,957 39,002 2010's 40,814 42,633 42,123 34,179 30,527 - = No Data Reported; -- = Not Applicable; NA = Not

  13. Michigan Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Michigan Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 4,135 4,574 4,053 3,778 5,251 4,354 3,862 1990's 5,882 6,252 4,178 4,889 6,399 6,198 5,478 9,386 6,160 5,954 2000's 7,689 6,799 10,925 6,309 5,755 8,276 7,932 7,588 5,447 6,841 2010's 6,626 5,857 7,428 7,248 5,948 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  14. Michigan Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Michigan Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3,995 4,136 4,142 3,831 4,365 3,896 4,141 1990's 3,212 3,343 3,096 3,282 3,367 3,337 3,011 2,674 3,073 2,912 2000's 2,455 2,587 2,445 2,798 2,419 2,318 2,363 2,076 1,982 1,686 2010's 1,684 1,303 1,174 1,071 1,152 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  15. Mississippi Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Mississippi Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 5,777 6,372 5,655 5,971 7,706 6,802 4,741 1990's 6,636 3,877 4,372 4,291 3,169 3,108 3,202 3,280 3,347 3,283 2000's 2,962 3,304 3,818 4,243 4,559 4,718 5,473 7,068 8,976 9,090 2010's 10,388 2,107 3,667 2,663 1,487 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure

  16. Mississippi Natural Gas Lease and Plant Fuel Consumption (Million Cubic

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

    Feet) and Plant Fuel Consumption (Million Cubic Feet) Mississippi Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 8,582 9,158 8,521 1970's 7,893 5,840 9,153 6,152 5,357 7,894 4,836 4,979 5,421 8,645 1980's 4,428 4,028 7,236 6,632 7,202 6,296 6,562 8,091 7,100 5,021 1990's 7,257 4,585 4,945 4,829 3,632 3,507 3,584 3,652 3,710 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  17. Mississippi Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Mississippi Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 855 830 641 591 385 298 280 1990's 621 708 573 538 463 399 382 372 363 638 2000's 786 722 758 251 895 1,018 1,138 1,196 1,140 1,150 2010's 1,155 1,042 1,111 1,103 1,310 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  18. Montana Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Montana Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,531 1,612 1,596 1,371 1,639 1,520 1,247 1990's 1,705 1,162 1,448 2,084 2,037 2,070 2,233 2,089 1,792 798 2000's 2,360 2,644 3,113 3,543 3,933 4,502 4,864 4,327 4,067 3,371 2010's 3,265 2,613 3,845 3,845 1,793 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  19. Wyoming Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Wyoming Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 15,438 18,274 17,619 16,966 25,122 23,252 20,541 1990's 29,233 20,988 27,382 7,592 4,676 4,570 4,252 4,099 3,477 3,125 2000's 3,236 4,032 4,369 4,590 4,823 5,010 5,279 33,309 35,569 36,290 2010's 34,459 39,114 33,826 32,004 21,811 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  20. Wyoming Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Wyoming Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 12,572 16,185 17,090 13,633 16,249 17,446 19,820 1990's 12,182 14,154 13,217 13,051 13,939 14,896 15,409 15,597 16,524 19,272 2000's 20,602 20,991 25,767 28,829 24,053 24,408 23,868 25,276 23,574 25,282 2010's 27,104 28,582 29,157 27,935 25,782 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  1. Alaska Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Alaska Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 96,603 109,333 62,341 71,104 112,404 151,280 189,702 1990's 166,155 187,106 197,975 202,199 200,809 253,695 255,500 230,578 242,271 224,355 2000's 226,659 229,206 241,469 255,701 237,530 259,829 218,153 227,374 211,878 219,161 2010's 211,918 208,531 214,335 219,190 219,451 - = No Data Reported; -- = Not

  2. Alaska Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Alaska Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,225 1,736 1,807 1,582 4,278 2,390 2,537 1990's 27,720 36,088 36,741 35,503 37,347 39,116 40,334 40,706 39,601 41,149 2000's 42,519 42,243 44,008 44,762 44,016 43,386 38,938 41,197 40,286 39,447 2010's 37,316 35,339 37,397 36,638 36,707 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  3. Arkansas Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Arkansas Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 4,402 4,956 5,362 4,353 5,720 5,469 3,940 1990's 6,464 1,218 5,570 6,053 4,283 5,083 5,124 6,349 7,980 1,822 2000's 1,468 849 536 615 1,364 1,288 1,351 1,502 2,521 4,091 2010's 5,340 6,173 6,599 6,605 6,452 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  4. California Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) California Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 14,569 17,498 17,575 15,868 18,066 14,370 11,065 1990's 14,754 96,442 84,220 80,210 63,251 62,160 63,297 69,386 68,370 61,810 2000's 60,757 49,766 41,878 39,452 37,337 37,865 57,234 56,936 64,689 63,127 2010's 64,931 44,379 51,154 49,846 54,288 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

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

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

    Feet) and Plant Fuel Consumption (Million Cubic Feet) California Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 100,497 93,074 82,996 1970's 92,119 75,241 68,738 72,574 71,686 84,843 78,967 79,425 69,624 65,787 1980's 62,824 53,655 22,275 22,231 25,213 25,274 22,973 26,846 22,778 19,586 1990's 22,712 104,251 92,228 87,306 69,639 66,447 67,817 74,182 72,881 - = No Data Reported; -- = Not

  6. California Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) California Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 7,662 7,715 7,699 7,105 8,780 8,408 8,521 1990's 7,958 7,809 8,008 7,096 6,388 4,287 4,520 4,796 4,511 4,212 2000's 3,572 2,893 2,781 2,568 2,760 2,875 2,475 2,540 2,318 2,611 2010's 2,370 2,253 2,417 2,834 2,361 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  7. Colorado Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Colorado Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 4,943 5,500 5,586 4,991 6,380 6,081 5,630 1990's 8,888 14,802 8,936 12,969 11,865 11,570 12,598 17,150 18,874 23,695 2000's 23,790 26,907 27,708 32,886 34,178 35,866 38,088 39,347 44,231 64,873 2010's 66,083 78,800 76,462 71,105 74,402 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  8. Colorado Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Colorado Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 5,057 5,060 5,243 4,406 5,715 5,541 6,591 1990's 8,455 9,081 12,233 11,863 12,482 13,560 14,894 12,435 12,200 12,863 2000's 13,064 13,871 15,904 15,927 17,093 15,641 16,347 16,218 18,613 21,288 2010's 25,090 28,265 29,383 25,806 30,873 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  9. Florida Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Florida Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 668 422 392 278 313 241 208 1990's 250 2,413 3,819 476 653 620 2,049 2,321 2,200 2,240 2000's 2,307 2,154 1,262 1,133 1,178 987 896 654 897 94 2010's 4,512 4,896 6,080 5,609 6,551 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release

  10. Florida Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Florida Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 7,852 7,425 6,782 5,878 7,250 7,034 8,734 1990's 1,466 1,338 1,315 1,241 167 145 125 113 129 147 2000's 157 127 124 112 102 286 796 671 83 0 2010's 0 0 0 0 272 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next

  11. Texas Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Texas Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 183,870 204,390 193,822 189,173 229,053 200,239 163,218 1990's 228,485 125,198 123,111 130,916 139,427 178,827 177,508 144,787 176,262 136,708 2000's 141,785 135,786 114,919 123,585 129,825 134,434 138,558 154,323 166,500 169,631 2010's 157,751 147,268 163,325 198,208 213,481 - = No Data Reported; -- = Not

  12. Texas Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Texas Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 123,847 122,272 113,937 113,093 126,712 118,683 128,759 1990's 166,120 172,035 170,734 165,507 158,826 154,721 153,039 157,013 153,966 144,544 2000's 144,971 128,836 133,427 123,383 127,356 133,306 140,414 139,262 142,476 152,948 2010's 151,818 155,358 171,359 178,682 184,723 - = No Data Reported; -- = Not

  13. Fact #635: August 9, 2010 Fuel Consumption from Lawn and Garden Equipment |

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

    Department of Energy 5: August 9, 2010 Fuel Consumption from Lawn and Garden Equipment Fact #635: August 9, 2010 Fuel Consumption from Lawn and Garden Equipment Most lawn and garden equipment uses gasoline instead of diesel fuel. Mowing equipment consumes nearly half of all the fuel used by lawn and garden equipment. The fuel used in this equipment accounts for only 1.8% of total gasoline use. Fuel Consumption from Lawn and Garden Equipment, 2008 Bar graph showing the fuel consumption

  14. Estimate of Fuel Consumption and GHG Emission Impact on an Automated Mobility District: Preprint

    SciTech Connect (OSTI)

    Chen, Yuche; Young, Stanley; Gonder, Jeff; Qi, Xuewei

    2015-12-11

    This study estimates the range of fuel and emissions impact of an automated-vehicle (AV) based transit system that services campus-based developments, termed an automated mobility district (AMD). The study develops a framework to quantify the fuel consumption and greenhouse gas (GHG) emission impacts of a transit system comprised of AVs, taking into consideration average vehicle fleet composition, fuel consumption/GHG emission of vehicles within specific speed bins, and the average occupancy of passenger vehicles and transit vehicles. The framework is exercised using a previous mobility analysis of a personal rapid transit (PRT) system, a system which shares many attributes with envisioned AV-based transit systems. Total fuel consumption and GHG emissions with and without an AMD are estimated, providing a range of potential system impacts on sustainability. The results of a previous case study based of a proposed implementation of PRT on the Kansas State University (KSU) campus in Manhattan, Kansas, serves as the basis to estimate personal miles traveled supplanted by an AMD at varying levels of service. The results show that an AMD has the potential to reduce total system fuel consumption and GHG emissions, but the amount is largely dependent on operating and ridership assumptions. The study points to the need to better understand ride-sharing scenarios and calls for future research on sustainability benefits of an AMD system at both vehicle and system levels.

  15. Estimate of Fuel Consumption and GHG Emission Impact from an Automated Mobility District

    SciTech Connect (OSTI)

    Chen, Yuche; Young, Stanley; Qi, Xuewei; Gonder, Jeffrey

    2015-10-19

    This study estimates the range of fuel and emissions impact of an automated-vehicle (AV) based transit system that services campus-based developments, termed an automated mobility district (AMD). The study develops a framework to quantify the fuel consumption and greenhouse gas (GHG) emission impacts of a transit system comprised of AVs, taking into consideration average vehicle fleet composition, fuel consumption/GHG emission of vehicles within specific speed bins, and the average occupancy of passenger vehicles and transit vehicles. The framework is exercised using a previous mobility analysis of a personal rapid transit (PRT) system, a system which shares many attributes with envisioned AV-based transit systems. Total fuel consumption and GHG emissions with and without an AMD are estimated, providing a range of potential system impacts on sustainability. The results of a previous case study based of a proposed implementation of PRT on the Kansas State University (KSU) campus in Manhattan, Kansas, serves as the basis to estimate personal miles traveled supplanted by an AMD at varying levels of service. The results show that an AMD has the potential to reduce total system fuel consumption and GHG emissions, but the amount is largely dependent on operating and ridership assumptions. The study points to the need to better understand ride-sharing scenarios and calls for future research on sustainability benefits of an AMD system at both vehicle and system levels.

  16. Table E3.1. Fuel Consumption, 1998

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

    E3.1. Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," " " "," ",," "," ",," "," ",," ","RSE"

  17. FUEL CONSUMPTION AND COST SAVINGS OF CLASS 8 HEAVY-DUTY TRUCKS POWERED BY NATURAL GAS

    SciTech Connect (OSTI)

    Gao, Zhiming; LaClair, Tim J; Daw, C Stuart; Smith, David E

    2013-01-01

    We compare the fuel consumption and greenhouse gas emissions of natural gas and diesel heavy-duty (HD) class 8 trucks under consistent simulated drive cycle conditions. Our study included both conventional and hybrid HD trucks operating with either natural gas or diesel engines, and we compare the resulting simulated fuel efficiencies, fuel costs, and payback periods. While trucks powered by natural gas engines have lower fuel economy, their CO2 emissions and costs are lower than comparable diesel trucks. Both diesel and natural gas powered hybrid trucks have significantly improved fuel economy, reasonable cost savings and payback time, and lower CO2 emissions under city driving conditions. However, under freeway-dominant driving conditions, the overall benefits of hybridization are considerably less. Based on payback period alone, non-hybrid natural gas trucks appear to be the most economic option for both urban and freeway driving environments.

  18. Effect Of Platooning on Fuel Consumption of Class 8 Vehicles Over a Range of Speeds, Following Distances, and Mass

    SciTech Connect (OSTI)

    Lammert, M. P.; Duran, A.; Diez, J.; Burton, K.; Nicholson, A.

    2014-10-01

    This research project evaluates fuel consumption results of two Class 8 tractor-trailer combinations platooned together compared to their standalone fuel consumption. A series of ten modified SAE Type II J1321 fuel consumption track tests were performed to document fuel consumption of two platooned vehicles and a control vehicle at varying steady-state speeds, following distances, and gross vehicle weights (GVWs). The steady-state speeds ranged from 55 mph to 70 mph, the following distances ranged from a 20-ft following distance to a 75-ft following distance, and the GVWs were 65K lbs and 80K lbs. All tractors involved had U.S. Environmental Protection Agency (EPA) SmartWay-compliant aerodynamics packages installed, and the trailers were equipped with side skirts. Effects of vehicle speed, following distance, and GVW on fuel consumption were observed and analyzed. The platooning demonstration system used in this study consisted of radar systems, Dedicated Short-Range Communication (DSRC) vehicle-to-vehicle (V2V) communications, vehicle braking and torque control interface, cameras and driver displays. The lead tractor consistently demonstrated an improvement in average fuel consumption reduction as following distance decreased, with results showing 2.7% to 5.3% fuel savings at a GVW of 65k. The trailing vehicle achieved fuel consumption savings ranging from 2.8% to 9.7%; tests during which the engine cooling fan did not operate achieved savings of 8.4% to 9.7%. 'Team' fuel savings, considering the platooned vehicles as one, ranged from 3.7% to 6.4%, with the best combined result being for 55 mph, 30-ft following distance, and 65k GVW.

  19. Fact #861 February 23, 2015 Idle Fuel Consumption for Selected Gasoline and

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

    Diesel Vehicles - Dataset | Department of Energy 1 February 23, 2015 Idle Fuel Consumption for Selected Gasoline and Diesel Vehicles - Dataset Fact #861 February 23, 2015 Idle Fuel Consumption for Selected Gasoline and Diesel Vehicles - Dataset Excel file and dataset for Idle Fuel Consumption for Selected Gasoline and Diesel Vehicles fotw#861_web.xlsx (17.63 KB) More Documents & Publications Fact #917: March 21, 2016 Work Truck Daily Idle Time by Industry - Dataset Fact #916: March 14,

  20. Reduction of Heavy-Duty Fuel Consumption and CO2 Generation ...

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

    Smart regulations, funding for advanced technologies, and improvements to operations and infrastructure play important roles in reducing fuel consumption deer09aneja.pdf (876.94 ...

  1. Delaware Natural Gas Vehicle Fuel Consumption (Million Cubic Feet)

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

    Delaware Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring

  2. Vermont Natural Gas Vehicle Fuel Consumption (Million Cubic Feet)

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

    Vermont Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring

  3. Maine Natural Gas Vehicle Fuel Consumption (Million Cubic Feet)

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

    Maine Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring

  4. Montana Natural Gas Vehicle Fuel Consumption (Million Cubic Feet)

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

    Montana Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring

  5. "Table A10. Total Consumption of LPG, Distillate Fuel Oil, and Residual Fuel"

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

    0. Total Consumption of LPG, Distillate Fuel Oil, and Residual Fuel" " Oil for Selected Purposes by Census Region and Economic Characteristics of the" " Establishment, 1991" " (Estimates in Barrels per Day)" ,,,," Inputs for Heat",,," Primary Consumption" " "," Primary Consumption for all Purposes",,," Power, and Generation of Electricity",,," for Nonfuel Purposes",,,"RSE" ,"

  6. "Table A2. Total Consumption of LPG, Distillate Fuel Oil, and Residual Fuel"

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

    . Total Consumption of LPG, Distillate Fuel Oil, and Residual Fuel" " Oil for Selected Purposes by Census Region, Industry Group, and Selected" " Industries, 1991" " (Estimates in Barrels per Day) " ,,,,," Input for Heat,",,," Primary" " ",," Consumption for All Purposes",,,"Power, and Generation of Electricity",,," Consumption for Nonfuel Purposes ",,,"RSE" "SIC",,"

  7. Capacity utilization and fuel consumption in the electric power industry, 1970-1981

    SciTech Connect (OSTI)

    Lewis, E.W.

    1982-07-01

    This report updates the 1980 Energy Information Administration (EIA) publication entitled Trends in the Capacity Utilization and Fuel Consumption of Electric Utility Powerplants, 1970-1978, DOE/EIA-184/32. The analysis covers the period from 1970 through 1981, and examines trends during the period prior to the 1973 Arab oil embargo (1970-1973), after the embargo (1974-1977), and during the immediate past (1978-1981). The report also addresses other factors affecting the electric utility industry since the oil embargo: the reduction in foreign oil supplies as a result of the 1979 Iranian crisis, the 1977 drought in the western United States, the 1978 coal strike by the United Mine Workers Union, and the shutdown of nuclear plants in response to the accident at Three Mile Island. Annual data on electric utility generating capacity, net generation, and fuel consumption are provided to identify changes in patterns of power plant capacity utilization and dispatching.

  8. Federal Offshore--Gulf of Mexico Natural Gas Plant Fuel Consumption

    Gasoline and Diesel Fuel Update (EIA)

    (Million Cubic Feet) Gulf of Mexico Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring Pages: Natural Gas Plant Fuel Consumption Gulf of Mexico Natural Gas Consumption by End Use Plant Fuel Consumption of Natural Gas

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

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

    Data for" ,"Data 1","North Carolina Natural Gas Vehicle Fuel ... 9:14:30 AM" "Back to Contents","Data 1: North Carolina Natural Gas Vehicle Fuel ...

  10. ,"North Dakota Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Data for" ,"Data 1","North Dakota Natural Gas Vehicle Fuel ... 9:14:31 AM" "Back to Contents","Data 1: North Dakota Natural Gas Vehicle Fuel ...

  11. VTA Prototype Fuel Cell Bus Evaluation: Interim Results (Presentation...

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

    VTA Prototype Fuel Cell Bus Evaluation: Interim Results (Presentation) VTA Prototype Fuel Cell Bus Evaluation: Interim Results (Presentation) Details hydrogen fuel cell buses being ...

  12. The Potential for Increased Atmospheric CO2 Emissions and Accelerated Consumption of Deep Geologic CO2 Storage Resources Resulting from the Large-Scale Deployment of a CCS-Enabled Unconventional Fossil Fuels Industry in the U.S.

    SciTech Connect (OSTI)

    Dooley, James J.; Dahowski, Robert T.; Davidson, Casie L.

    2009-11-02

    Desires to enhance the energy security of the United States have spurred significant interest in the development of abundant domestic heavy hydrocarbon resources including oil shale and coal to produce unconventional liquid fuels to supplement conventional oil supplies. However, the production processes for these unconventional fossil fuels create large quantities of carbon dioxide (CO2) and this remains one of the key arguments against such development. Carbon dioxide capture and storage (CCS) technologies could reduce these emissions and preliminary analysis of regional CO2 storage capacity in locations where such facilities might be sited within the U.S. indicates that there appears to be sufficient storage capacity, primarily in deep saline formations, to accommodate the CO2 from these industries. Nevertheless, even assuming wide-scale availability of cost-effective CO2 capture and geologic storage resources, the emergence of a domestic U.S. oil shale or coal-to-liquids (CTL) industry would be responsible for significant increases in CO2 emissions to the atmosphere. The authors present modeling results of two future hypothetical climate policy scenarios that indicate that the oil shale production facilities required to produce 3MMB/d from the Eocene Green River Formation of the western U.S. using an in situ retorting process would result in net emissions to the atmosphere of between 3000-7000 MtCO2, in addition to storing potentially 900-5000 MtCO2 in regional deep geologic formations via CCS in the period up to 2050. A similarly sized, but geographically more dispersed domestic CTL industry could result in 4000-5000 MtCO2 emitted to the atmosphere in addition to potentially 21,000-22,000 MtCO2 stored in regional deep geologic formations over the same period. While this analysis shows that there is likely adequate CO2 storage capacity in the regions where these technologies are likely to deploy, the reliance by these industries on large-scale CCS could result

  13. Deriving In-Use PHEV Fuel Economy Predictions from Standardized Test Cycle Results: Preprint

    SciTech Connect (OSTI)

    Gonder, J.; Brooker, A.; Carlson, R.; Smart, J.

    2009-08-01

    Explores the issue of how to apply an adjustment method to raw plug-in hybrid vehicle dynamometer test results to better estimate PHEVs' in-use fuel and electricity consumption.

  14. Reduction of Heavy-Duty Fuel Consumption and CO2 Generation -- What the

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

    Industry Does and What the Government Can Do | Department of Energy Heavy-Duty Fuel Consumption and CO2 Generation -- What the Industry Does and What the Government Can Do Reduction of Heavy-Duty Fuel Consumption and CO2 Generation -- What the Industry Does and What the Government Can Do Smart regulations, funding for advanced technologies, and improvements to operations and infrastructure play important roles in reducing fuel consumption deer09_aneja.pdf (876.94 KB) More Documents &

  15. NREL: Hydrogen and Fuel Cells Research - Evaluation Results Show...

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

    Evaluation Results Show Continued Improvements in Fuel Cell Electric Vehicle Durability, Fuel Economy, Driving Range Project Technology Validation: Fuel Cell Electric Vehicle ...

  16. Fuel Consumption and Cost Benefits of DOE Vehicle Technologies Program

    Office of Energy Efficiency and Renewable Energy (EERE)

    2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

  17. Optimization to reduce fuel consumption in charge depleting mode

    DOE Patents [OSTI]

    Roos, Bryan Nathaniel; Martini, Ryan D.

    2014-08-26

    A powertrain includes an internal combustion engine, a motor utilizing electrical energy from an energy storage device, and a plug-in connection. A Method for controlling the powertrain includes monitoring a fuel cut mode, ceasing a fuel flow to the engine based upon the fuel cut mode, and through a period of operation including acceleration of the powertrain, providing an entirety of propelling torque to the powertrain with the electrical energy from the energy storage device based upon the fuel cut mode.

  18. 2014 Annual Merit Review Results Report - Fuels & Lubricants...

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

    Fuels & Lubricants Technologies 2014 Annual Merit Review Results Report - Fuels & Lubricants Technologies Merit review of DOE Vehicle Technologies research activities ...

  19. Table 8.5c Consumption of Combustible Fuels for Electricity Generation...

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

    5c Consumption of Combustible Fuels for Electricity Generation: Electric Power Sector by Plant ... Plants Into Energy-Use Sectors," at end of section. * Totals may not equal sum ...

  20. EIA Energy Efficiency-Table 1b. Fuel Consumption for Selected...

    Gasoline and Diesel Fuel Update (EIA)

    b Page Last Modified: May 2010 Table 1b. End Uses of Fuel Consumption (Site Energy) for Selected Industries, 1998, 2002, and 2006 (Trillion Btu) MECS Survey Years NAICS Subsector...

  1. EIA Energy Efficiency-Table 2b. Primary Fuel Consumption for...

    Gasoline and Diesel Fuel Update (EIA)

    b Page Last Modified: May 2010 Table 2b. End Uses of Fuel Consumption (Primary 1 Energy) for Selected Industries, 1998, 2002, and 2006 (Trillion Btu) MECS Survey Years NAICS...

  2. Fact #861 February 23, 2015 Idle Fuel Consumption for Selected Gasoline and Diesel Vehicles

    Office of Energy Efficiency and Renewable Energy (EERE)

    Based on a worksheet developed by Argonne National Laboratory, the idle fuel consumption rate for selected gasoline and diesel vehicles with no load (no use of accessories such as air conditioners,...

  3. Fact #705: December 12, 2011 Fuel Consumption Standards for Combination Tractors

    Office of Energy Efficiency and Renewable Energy (EERE)

    The National Highway Traffic Safety Administration published a final rule setting fuel consumption standards for heavy trucks in September 2011. For tractor-trailers, the standards focus on the...

  4. Short-Term Energy Outlook Model Documentation: Electricity Generation and Fuel Consumption Models

    Gasoline and Diesel Fuel Update (EIA)

    Model Documentation: Electricity Generation and Fuel Consumption Models January 2014 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | STEO Model Documentation: Electricity Generation and Fuel Consumption Models 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

  5. HEAVY-DUTY TRUCK EMISSIONS AND FUEL CONSUMPTION SIMULATING REAL-WORLD

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

    DRIVING IN LABORATORY CONDITIONS | Department of Energy HEAVY-DUTY TRUCK EMISSIONS AND FUEL CONSUMPTION SIMULATING REAL-WORLD DRIVING IN LABORATORY CONDITIONS HEAVY-DUTY TRUCK EMISSIONS AND FUEL CONSUMPTION SIMULATING REAL-WORLD DRIVING IN LABORATORY CONDITIONS 2005 Diesel Engine Emissions Reduction (DEER) Conference Presentations and Posters 2005_deer_erkkila.pdf (398.95 KB) More Documents & Publications Evaluating Exhaust Emission Performance of Urban Buses Using Transient Heavy-Duty

  6. Consumption

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

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

  7. Consumption

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

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

  8. Consumption

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

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

  9. Consumption

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

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

  10. Consumption

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

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

  11. Consumption

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

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

  12. Consumption

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

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

  13. Consumption

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

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

  14. Consumption

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

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

  15. Consumption

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

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

  16. Consumption

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

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

  17. Consumption

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

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

  18. Consumption

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

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

  19. Consumption

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

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

  20. Consumption

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

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

  1. Consumption

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

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

  2. Consumption

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

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

  3. Study of fuel consumption and cooling system in low heat rejection turbocharged diesel engines

    SciTech Connect (OSTI)

    Taymaz, I.; Gur, M.; Cally, I.; Mimaroglu, A.

    1998-07-01

    In a conventional internal combustion engine, approximately one-third of total fuel input energy is converted to useful work. Since the working gas in a practical engine cycle is not exhausted at ambient temperature, a major part of the energy is lost with the exhaust gases. In addition another major part of energy input is rejected in the form of heat via the cooling system. If the energy normally rejected to the coolant could be recovered instead on the crankshaft as useful work, then a substantial improvement in fuel economy would result. At the same time, the cooling water, antifreeze, thermostat, radiator, water pump, cooling fan, and associated hoses and clamps could be eliminated. A new trend in the field of internal combustion engines is to insulate the heat transfer surfaces such as the combustion chamber, cylinder wall, cylinder head, piston and valves by ceramic insulating materials for the improvement of engine performance and elimination of cooling system. In this study, the effect of insulated heat transfer surfaces on direct injected and turbocharged diesel engine fuel consumption and cooling system were investigated. The research engine was a four-stroke, direct injected, six cylinder, turbocharged and intercooled diesel engine. This engine was tested at different speeds and loads conditions without coating. Then, combustion chamber surfaces, cylinder head, valves and piston crown faces was coated with ceramic materials. Ceramic layers were made of CaZrO{sub 3} and MgZrO{sub 3} and plasma coated onto base of the NiCrAl bond coat. The ceramic coated research engine was tested at the same operation conditions as the standard (without coating) engine. The results indicate a reduction in fuel consumption and heat losses to engine cooling system of the ceramic coated engine.

  4. RECENT TRENDS IN EMERGING TRANSPORTATION FUELS AND ENERGY CONSUMPTION...

    Office of Scientific and Technical Information (OSTI)

    world s population do not have access to modern cooking fuel and depend on wood or dung ... Country of Publication: United States Language: English Subject: 01 COAL, LIGNITE, AND ...

  5. Fuel Consumption and Cost Benefits of DOE Vehicle Technologies...

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

    12 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting vss077shidore2012o.pdf (1.6 MB) More Documents & ...

  6. Evaluations of 1997 Fuel Consumption Patterns of Heavy Duty Trucks

    SciTech Connect (OSTI)

    Santini, Danilo

    2001-08-05

    The proposed 21st Century Truck program selected three truck classes for focused analysis. On the basis of gross vehicle weight (GVW) classification, these were Class 8 (representing heavy), Class 6 (representing medium), and Class 2b (representing light). To develop and verify these selections, an evaluation of fuel use of commercial trucks was conducted, using data from the 1997 Vehicle Inventory and Use Survey (VIUS). Truck fuel use was analyzed by registered GVW class, and by body type.

  7. Issues in International Energy Consumption Analysis: Chinese Transportation Fuel Demand

    Reports and Publications (EIA)

    2014-01-01

    Since the 1990s, China has experienced tremendous growth in its transportation sector. By the end of 2010, China's road infrastructure had emerged as the second-largest transportation system in the world after the United States. Passenger vehicle sales are dramatically increasing from a little more than half a million in 2000, to 3.7 million in 2005, to 13.8 million in 2010. This represents a twenty-fold increase from 2000 to 2010. The unprecedented motorization development in China led to a significant increase in oil demand, which requires China to import progressively more petroleum from other countries, with its share of petroleum imports exceeding 50% of total petroleum demand since 2009. In response to growing oil import dependency, the Chinese government is adopting a broad range of policies, including promotion of fuel-efficient vehicles, fuel conservation, increasing investments in oil resources around the world, and many others.

  8. 2008 Annual Merit Review Results Summary - 10. Fuels Technologies...

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

    0. Fuels Technologies 2008 Annual Merit Review Results Summary - 10. Fuels Technologies DOE Vehicle Technologies Annual Merit Review 2008meritreview10.pdf (1.49 MB) More ...

  9. Fossil Fuel-Generated Energy Consumption Reduction for New Federal Buildings and Major Renovations of Federal Buildings OIRA Comparison Document

    Office of Energy Efficiency and Renewable Energy (EERE)

    Document details the Fossil Fuel-Generated Energy Consumption Reduction for New Federal Buildings and Major Renovations of Federal Buildings in an OIRA Comparison Document.

  10. Fossil Fuel-Generated Energy Consumption Reduction for New Federal Buildings and Major Renovations of Federal Buildings

    Broader source: Energy.gov [DOE]

    Document details Fossil Fuel-Generated Energy Consumption Reduction for New Federal Buildings and Major Renovations of Federal Buildings in a Supplemental Notice of Proposed Rulemaking.

  11. Nevada Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet)

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

    and Plant Fuel Consumption (Million Cubic Feet) Nevada Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 0 168 0 0 0 0 0 0 1990's 0 53 30 21 16 1 11 9 9 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring Pages: Natural Gas

  12. Oregon Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet)

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

    and Plant Fuel Consumption (Million Cubic Feet) Oregon Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 32 30 37 30 30 1980's 0 0 0 0 0 120 131 130 115 59 1990's 93 60 68 118 95 66 40 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring

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

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Iowa Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

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

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

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

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Maryland Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

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

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Massachusetts Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  17. ,"Michigan Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  18. ,"Mississippi Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  19. ,"Missouri Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Missouri Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  20. ,"Montana Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  1. ,"Nebraska Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Nebraska Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  2. ,"Ohio Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

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

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oregon Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  4. ,"Pennsylvania Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  5. ,"Rhode Island Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Rhode Island Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  6. ,"South Carolina Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Carolina Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  7. ,"Tennessee Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Tennessee Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  8. ,"Utah Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

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

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Vermont Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

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

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Washington Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

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

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wisconsin Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  12. ,"Wyoming Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  13. Indiana Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet)

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

    and Plant Fuel Consumption (Million Cubic Feet) Indiana Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 5 0 0 1970's 0 0 0 0 0 0 0 0 0 1 1980's 7 51 10 4 12 11 10 7 12 10 1990's 13 5 5 6 2 5 8 12 13 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring Pages:

  14. Maryland Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet)

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

    and Plant Fuel Consumption (Million Cubic Feet) Maryland Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 257 310 381 1970's 319 451 67 474 392 277 415 342 889 2,488 1980's 0 0 1 1 2 1 1 2 1 1 1990's 1 0 0 1 1 1 3 3 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016

  15. Missouri Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet)

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

    and Plant Fuel Consumption (Million Cubic Feet) Missouri Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 494 0 1980's 0 0 0 0 0 0 0 0 1990's 0 0 1 0 0 0 1 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring Pages: Natural Gas

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

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  17. ,"Alaska Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  18. ,"Arizona Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arizona Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  19. ,"Arkansas Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  20. ,"California Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  1. ,"Colorado Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  2. ,"Delaware Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Delaware Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

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

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  4. ,"Georgia Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Georgia Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

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

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Hawaii Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  6. ,"Idaho Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Idaho Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  7. ,"Illinois Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  8. ,"Indiana Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Indiana Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  9. Arizona Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet)

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

    and Plant Fuel Consumption (Million Cubic Feet) Arizona Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 33 20 34 1970's 50 50 44 39 0 0 0 0 0 0 1980's 0 222 7 7 7 6 5 6 5 35 1990's 71 45 41 49 61 57 58 51 46 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring

  10. Delaware Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet)

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

    Lease and Plant Fuel Consumption (Million Cubic Feet) Delaware Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 1 1980's 0 0 0 0 0 0 0 0 1990's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring Pages: Natural Gas Lease and

  11. Idaho Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet)

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

    Lease and Plant Fuel Consumption (Million Cubic Feet) Idaho Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 38 5 6 22 4 1980's 7 0 0 0 0 0 0 0 1990's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring Pages: Natural Gas Lease and

  12. Rhode Island Natural Gas Lease and Plant Fuel Consumption (Million Cubic

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

    Feet) Lease and Plant Fuel Consumption (Million Cubic Feet) Rhode Island Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 0 4 0 0 0 0 0 0 1990's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring Pages: Natural

  13. South Dakota Natural Gas Lease and Plant Fuel Consumption (Million Cubic

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

    Feet) and Plant Fuel Consumption (Million Cubic Feet) South Dakota Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 0 0 63 61 76 93 70 125 123 112 1990's 158 393 451 452 437 404 424 911 848 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release

  14. Tennessee Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet)

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

    and Plant Fuel Consumption (Million Cubic Feet) Tennessee Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 355 753 986 1970's 1,265 1,524 1,150 1,263 1,087 387 537 509 516 616 1980's 0 0 78 113 153 138 98 93 60 45 1990's 74 44 39 49 44 47 37 45 31 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016

  15. Consumption

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

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

  16. Consumption

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

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

  17. Consumption

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

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

  18. Consumption

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

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

  19. 2014 Annual Merit Review Results Report - Fuels & Lubricants Technologies |

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

    Department of Energy Fuels & Lubricants Technologies 2014 Annual Merit Review Results Report - Fuels & Lubricants Technologies Merit review of DOE Vehicle Technologies research activities 2014_amr_05.pdf (2.87 MB) More Documents & Publications 2011 Annual Merit Review Results Report - Fuels & Lubricants 2010 DOE EERE Vehicle Technologies Program Merit Review - Fuels Technologies 2011 Annual Merit Review Results Report - Fuels & Lubricants

  20. Development of a Life Cycle Inventory of Water Consumption Associated with the Production of Transportation Fuels

    SciTech Connect (OSTI)

    Lampert, David J.; Cai, Hao; Wang, Zhichao; Keisman, Jennifer; Wu, May; Han, Jeongwoo; Dunn, Jennifer; Sullivan, John L.; Elgowainy, Amgad; Wang, Michael; Keisman, Jennifer

    2015-10-01

    The production of all forms of energy consumes water. To meet increased energy demands, it is essential to quantify the amount of water consumed in the production of different forms of energy. By analyzing the water consumed in different technologies, it is possible to identify areas for improvement in water conservation and reduce water stress in energy-producing regions. The transportation sector is a major consumer of energy in the United States. Because of the relationships between water and energy, the sustainability of transportation is tied to management of water resources. Assessment of water consumption throughout the life cycle of a fuel is necessary to understand its water resource implications. To perform a comparative life cycle assessment of transportation fuels, it is necessary first to develop an inventory of the water consumed in each process in each production supply chain. The Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation (GREET) model is an analytical tool that can used to estimate the full life-cycle environmental impacts of various transportation fuel pathways from wells to wheels. GREET is currently being expanded to include water consumption as a sustainability metric. The purpose of this report was to document data sources and methodologies to estimate water consumption factors (WCF) for the various transportation fuel pathways in GREET. WCFs reflect the quantity of freshwater directly consumed per unit production for various production processes in GREET. These factors do not include consumption of precipitation or low-quality water (e.g., seawater) and reflect only water that is consumed (i.e., not returned to the source from which it was withdrawn). The data in the report can be combined with GREET to compare the life cycle water consumption for different transportation fuels.

  1. Quantitative Effects of Vehicle Parameters on Fuel Consumption for Heavy-Duty Vehicle

    SciTech Connect (OSTI)

    Wang, Lijuan; Kelly, Kenneth; Walkowicz, Kevin; Duran, Adam

    2015-10-16

    The National Renewable Energy Laboratory's (NREL's) Fleet Test and Evaluations team recently conducted chassis dynamometer tests of a class 8 conventional regional delivery truck over the Heavy Heavy-Duty Diesel Truck (HHDDT), West Virginia University City (WVU City), and Composite International Truck Local and Commuter Cycle (CILCC) drive cycles. A quantitative study was conducted by analyzing the impacts of various factors on fuel consumption (FC) and fuel economy (FE) by modeling and simulating the truck using NREL's Future Automotive Systems Technology Simulator (FASTSim). Factors used in this study included vehicle weight, and the coefficients of rolling resistance and aerodynamic drag. The simulation results from a single parametric study revealed that FC was approximately a linear function of the weight, coefficient of aerodynamic drag, and rolling resistance over various drive cycles. Among these parameters, the truck weight had the largest effect on FC. The study of the impact of two technologies on FE suggested that, depending on the circumstances, it may be more cost effective to reduce one parameter (such as coefficient of aerodynamic drag) to increase fuel economy, or it may be more beneficial to reduce another (such as the coefficient of rolling resistance). It also provided a convenient way to estimate FE by interpolating within the parameter values and extrapolating outside of them. The simulation results indicated that the FC could be reduced from 38.70 L/100 km, 50.72 L/100 km, and 38.42 L/100 km in the baseline truck to 26.78 L/100 km, 43.14 L/100 km and 29.84 L/100 km over the HHDDT, WVU City and CILCC drive cycles, respectively, when the U.S. Department of Energy's three targeted new technologies were applied simultaneously.

  2. Evaluation of fuel consumption potential of medium and heavy duty vehicles through modeling and simulation.

    SciTech Connect (OSTI)

    Delorme, A.; Karbowski, D.; Sharer, P.; Energy Systems

    2010-03-31

    The main objective of this report is to provide quantitative data to support the Committee in its task of establishing a report to support rulemaking on medium- and heavy-duty fuel efficiency improvement. In particular, it is of paramount importance for the Committee to base or illustrate their conclusions on established models and actual state-of-the art data. The simulations studies presented in the report have been defined and requested by the members of the National Academy committee to provide quantitative inputs to support their recommendations. As such, various technologies and usage scenarios were considered for several applications. One of the objective is to provide the results along with their associated assumptions (both vehicle and drive cycles), information generally missing from public discussions on literature search. Finally, the advantages and limitations of using simulation will be summarized. The study addresses several of the committee tasks, including: (1) Discussion of the implication of metric selection; (2) Assessing the impact of existing technologies on fuel consumption through energy balance analysis (both steady-state and standard cycles) as well as real world drive cycles; and (3) Impact of future technologies, both individually and collectively.

  3. 2013 Annual Merit Review Results Report - Fuels & Lubricants | Department

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

    of Energy Fuels & Lubricants 2013 Annual Merit Review Results Report - Fuels & Lubricants Merit review of DOE Vehicle Technologies research activities 2013_amr_05.pdf (1.35 MB) More Documents & Publications 2010 DOE EERE Vehicle Technologies Program Merit Review - Fuels Technologies 2011 Annual Merit Review Results Report - Fuels & Lubricants Vehicle Technologies Office: 2010 Fuel Technologies R&D Annual Progress Report

  4. Consumption

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

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

  5. Consumption

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

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

  6. Consumption

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

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

  7. Consumption

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

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

  8. Consumption

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

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

  9. Consumption

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

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

  10. Manufacturing Consumption of Energy 1994

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

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

  11. Projections of motor vehicle growth, fuel consumption and CO{sub 2} emissions for the next thirty years in China.

    SciTech Connect (OSTI)

    He, D.; Wang, M.

    2000-12-12

    Since the early 1990s, China's motor vehicles have entered a period of fast growth resultant from the rapid economic expansion. As the largest developing country, the fast growth of China's motor vehicles will have tremendous effects on the world's automotive and fuel market and on global CO{sub 2} emissions. In this study, we projected Chinese vehicle stocks for different vehicle types on the provincial level. First, we reviewed the historical data of China's vehicle growth in the past 10 years and the correlations between vehicle growth and economic growth in China. Second, we investigated historical vehicle growth trends in selected developed countries over the past 50 or so years. Third, we established a vehicle growth scenario based on the historical trends in several developed nations. Fourth, we estimated fuel economy, annual mileage and other vehicle usage parameters for Chinese vehicles. Finally, we projected vehicle stocks and estimated motor fuel use and CO{sub 2} emissions in each Chinese province from 2000 to 2030. Our results show that China will continue the rapid vehicle growth, increase gasoline and diesel consumption and increased CO{sub 2} emissions in the next 30 years. We estimated that by year 2030, Chinese motor vehicle fuel consumption and CO{sub 2} emissions could reach the current US levels.

  12. Experimental Results for SimFuels

    SciTech Connect (OSTI)

    Buck, Edgar C.; Casella, Andrew M.; Skomurski, Frances N.; MacFarlan, Paul J.; Soderquist, Chuck Z.; Wittman, Richard S.; Mcnamara, Bruce K.

    2012-08-22

    Assessing the performance of Spent (or Used) Nuclear Fuel (UNF) in geological repository requires quantification of time-dependent phenomena that may influence its behavior on a time-scale up to millions of years. A high-level waste repository environment will be a dynamic redox system because of the time-dependent generation of radiolytic oxidants and reductants and the corrosion of Fe-bearing canister materials. One major difference between used fuel and natural analogues, including unirradiated UO2, is the intense radiolytic field. The radiation emitted by used fuel can produce radiolysis products in the presence of water vapor or a thin-film of water that may increase the waste form degradation rate and change radionuclide behavior. To study UNF, we have been working on producing synthetic UO2 ceramics, or SimFuels that can be used in testing and which will contain specific radionuclides or non-radioactive analogs so that we can test the impact of radiolysis on fuel corrosion without using actual spent fuel. Although, testing actual UNF would be ideal for understanding the long term behavior of UNF, it requires the use of hot cells and is extremely expensive. In this report, we discuss, factors influencing the preparation of SimFuels and the requirements for dopants to mimic the behavior of UNF. We have developed a reliable procedure for producing large grain UO2 at moderate temperatures. This process will be applied to a series of different formulations.

  13. Factors Affecting the Fuel Consumption of Plug-In Hybrid Electric Vehicles

    SciTech Connect (OSTI)

    Richard "Barney" Carlson; Matthew G. Shirk; Benjamin M. Geller

    2001-11-01

    Primary Factors that Impact the Fuel Consumption of Plug-In Hybrid Electric Vehicles RICHARD ‘BARNEY’ CARLSON, MATTHEW G. SHIRK Idaho National Laboratory 2525 N. Fremont Ave., Idaho Falls, ID 83415, USA richard.carlson@inl.gov Abstract Plug-in Hybrid Electric Vehicles (PHEV) have proven to significantly reduce petroleum consumption as compared to conventional internal combustion engine vehicles (ICE) by utilizing electrical energy for propulsion. Through extensive testing of PHEV’s, analysis has shown that the fuel consumption of PHEV’s is more significantly affected than conventional vehicles by either the driver’s input or by the environmental inputs around the vehicle. Six primary factors have been identified that significantly affect the fuel consumption of PHEV’s. In this paper, these primary factors are analyzed from on-road driving and charging data from over 200 PHEV’s throughout North America that include Hymotion Prius conversions and Hybrids Plus Escape conversions. The Idaho National Laboratory (INL) tests plug-in hybrid electric (PHEV) vehicles as part of its conduct of DOE’s Advanced Vehicle Testing Activity (AVTA). In collaboration with its 75 testing partners located in 23 states and Canada, INL has collected data on 191 PHEVs, comprised of 12 different PHEV models (by battery manufacturer). With more than 1 million PHEV test miles accumulated to date, the PHEVs are fleet, track, and dynamometer tested. Six Primary Factors The six primary factors that significantly impact PHEV fuel consumption are listed below. Some of the factors are unique to plug-in vehicles while others are common for all types of vehicles. 1. Usable Electrical Energy is dictated by battery capacity, rate of depletion as well as when the vehicle was last plugged-in. With less electrical energy available the powertrain must use more petroleum to generate the required power output. 2. Driver Aggressiveness impacts the fuel consumption of nearly all vehicles but

  14. Nebraska Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet)

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

    and Plant Fuel Consumption (Million Cubic Feet) Nebraska Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 2,164 1,945 1,877 1970's 1,650 1,275 814 1,809 1,194 1,036 708 695 1,160 1,867 1980's 3,779 132 107 94 105 87 59 74 47 34 1990's 26 31 40 56 89 60 46 45 37 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  15. North Dakota Natural Gas Lease and Plant Fuel Consumption (Million Cubic

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

    Feet) and Plant Fuel Consumption (Million Cubic Feet) North Dakota Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 17,133 16,163 14,691 1970's 14,067 13,990 12,773 12,462 11,483 12,008 15,998 13,697 12,218 3,950 1980's 1,017 13,759 3,514 4,100 4,563 4,710 3,974 5,194 4,014 3,388 1990's 6,939 11,583 8,462 8,256 11,306 11,342 11,603 8,572 8,309 - = No Data Reported; -- = Not Applicable; NA =

  16. Ohio Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet)

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

    and Plant Fuel Consumption (Million Cubic Feet) Ohio Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 2,656 3,505 2,879 1970's 3,140 4,302 3,397 3,548 2,957 2,925 2,742 2,814 3,477 22,094 1980's 1,941 1,776 3,671 4,377 5,741 5,442 5,243 5,802 4,869 3,876 1990's 5,129 1,476 1,450 1,366 1,332 1,283 1,230 1,201 1,125 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  17. Oklahoma Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet)

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

    and Plant Fuel Consumption (Million Cubic Feet) Oklahoma Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 65,167 84,259 103,361 1970's 98,417 101,126 98,784 80,233 80,780 79,728 84,025 77,631 82,046 128,475 1980's 59,934 56,785 91,465 79,230 91,707 88,185 84,200 104,415 100,926 90,225 1990's 111,567 88,366 92,978 99,869 91,039 80,846 73,039 81,412 61,543 - = No Data Reported; -- = Not Applicable;

  18. Kansas Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet)

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

    and Plant Fuel Consumption (Million Cubic Feet) Kansas Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 7,842 15,867 17,587 1970's 20,841 27,972 28,183 32,663 35,350 27,212 31,044 29,142 30,491 48,663 1980's 24,521 19,665 41,392 37,901 40,105 42,457 38,885 44,505 45,928 43,630 1990's 40,914 44,614 43,736 56,657 44,611 47,282 49,196 46,846 33,989 - = No Data Reported; -- = Not Applicable; NA = Not

  19. Kentucky Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet)

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

    and Plant Fuel Consumption (Million Cubic Feet) Kentucky Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 1,828 1,992 2,277 1970's 2,317 2,212 1,509 1,238 1,206 1,218 1,040 1,107 1,160 1,214 1980's 989 1,040 9,772 8,361 9,038 9,095 6,335 3,254 2,942 2,345 1990's 3,149 2,432 2,812 3,262 2,773 2,647 2,426 2,457 2,325 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  20. Louisiana Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet)

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

    and Plant Fuel Consumption (Million Cubic Feet) Louisiana Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 195,990 212,134 273,213 1970's 287,222 292,589 312,145 336,832 347,098 301,816 556,772 591,292 558,877 305,181 1980's 196,033 180,687 337,398 275,698 303,284 258,069 243,283 301,279 272,455 256,123 1990's 258,267 195,526 220,711 222,813 207,171 209,670 213,721 227,542 194,963 - = No Data

  1. Michigan Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet)

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

    and Plant Fuel Consumption (Million Cubic Feet) Michigan Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 2,798 2,012 2,074 1970's 3,440 2,145 2,143 2,551 3,194 8,420 7,647 8,022 11,076 14,695 1980's 6,494 3,461 9,699 8,130 8,710 8,195 7,609 9,616 8,250 8,003 1990's 9,094 9,595 7,274 8,171 9,766 9,535 8,489 12,060 9,233 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  2. Montana Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet)

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

    and Plant Fuel Consumption (Million Cubic Feet) Montana Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 5,904 5,188 6,183 1970's 5,091 6,148 5,924 4,281 3,683 2,315 2,754 2,972 2,792 4,796 1980's 3,425 1,832 2,012 1,970 2,069 2,138 1,808 2,088 1,994 1,766 1990's 2,262 1,680 1,871 2,379 2,243 2,238 2,401 2,277 2,000 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  3. Wyoming Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet)

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

    and Plant Fuel Consumption (Million Cubic Feet) Wyoming Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 15,722 17,271 19,964 1970's 19,625 20,348 22,402 21,151 14,302 15,102 16,726 16,601 20,363 31,081 1980's 17,763 17,527 26,559 28,010 34,459 34,709 30,599 41,371 40,698 40,361 1990's 41,415 35,142 40,599 20,643 18,615 19,466 19,661 19,696 20,001 - = No Data Reported; -- = Not Applicable; NA =

  4. Alaska Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet)

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

    and Plant Fuel Consumption (Million Cubic Feet) Alaska Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 1,659 2,240 6,864 1970's 4,748 8,459 16,056 15,217 14,402 17,842 15,972 17,336 15,895 12,153 1980's 30,250 15,249 94,232 97,828 111,069 64,148 72,686 116,682 153,670 192,239 1990's 193,875 223,194 234,716 237,702 238,156 292,811 295,834 271,284 281,872 - = No Data Reported; -- = Not Applicable;

  5. Arkansas Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet)

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

    and Plant Fuel Consumption (Million Cubic Feet) Arkansas Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 10,267 4,027 6,268 1970's 9,184 6,433 4,740 3,000 4,246 4,200 4,049 4,032 3,760 7,661 1980's 1,949 2,549 5,096 5,384 5,922 12,439 9,062 11,990 12,115 11,586 1990's 7,101 1,406 5,838 6,405 4,750 5,551 5,575 6,857 8,385 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  6. Colorado Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet)

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

    and Plant Fuel Consumption (Million Cubic Feet) Colorado Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 2,668 2,361 2,604 1970's 2,726 3,231 4,676 7,202 5,822 7,673 7,739 9,124 10,619 21,610 1980's 7,041 7,093 13,673 10,000 10,560 10,829 9,397 12,095 11,622 12,221 1990's 17,343 23,883 21,169 24,832 24,347 25,130 27,492 29,585 31,074 - = No Data Reported; -- = Not Applicable; NA = Not Available;

  7. Florida Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet)

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

    and Plant Fuel Consumption (Million Cubic Feet) Florida Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 210 201 176 1970's 234 294 1,782 3,027 2,700 6,304 6,306 4,890 5,314 7,628 1980's 8,284 9,035 10,603 8,520 7,847 7,174 6,156 7,563 7,275 8,942 1990's 1,716 3,751 5,134 1,717 820 765 2,174 2,434 2,329 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  8. Texas Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet)

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

    and Plant Fuel Consumption (Million Cubic Feet) Texas Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 645,058 711,720 741,902 1970's 769,500 784,773 802,112 828,139 817,194 763,107 729,946 732,428 757,853 717,462 1980's 536,766 505,322 347,846 307,717 326,662 307,759 302,266 355,765 318,922 291,977 1990's 394,605 297,233 293,845 296,423 298,253 333,548 330,547 301,800 330,228 - = No Data

  9. U.S. Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Lease Fuel Consumption (Million Cubic Feet) U.S. Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 595,172 687,356 598,475 573,793 741,268 697,703 640,633 1990's 807,735 672,314 710,250 723,118 699,842 792,315 799,629 776,306 771,366 679,480 2000's 746,889 747,411 730,579 758,380 731,563 756,324 782,992 861,063 864,113 913,229 2010's 916,797 938,340 987,957 1,068,289 1,074,943 - = No Data Reported; -- = Not

  10. U.S. Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) U.S. Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 383,077 389,525 367,572 348,731 408,115 398,180 429,269 1990's 428,657 456,954 460,571 448,822 423,878 427,853 450,033 426,873 401,314 399,509 2000's 404,059 371,141 382,503 363,903 366,341 355,193 358,985 365,323 355,590 362,009 2010's 368,830 384,248 408,316 414,796 425,238 - = No Data Reported; -- = Not

  11. Development of ADECS to Meet 2010 Emission Levels: Optimization of NOx, NH3 and Fuel Consumption Using High and Low Engine-Out NOx Calibrations

    Office of Energy Efficiency and Renewable Energy (EERE)

    Development and validation of a simple strategy-based technique using four engine parameters to minimize emissions and fuel consumption

  12. 2011 Annual Merit Review Results Report - Fuels & Lubricants | Department

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

    of Energy 2_amr_05.pdf (1.32 MB) More Documents & Publications 2011 Annual Merit Review Results Report - Fuels & Lubricants 2010 DOE EERE Vehicle Technologies Program Merit Review - Fuels Technologies

  13. 2011 Annual Merit Review Results Report - Fuels & Lubricants | Department

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

    of Energy 1_amr_05.pdf (1.64 MB) More Documents & Publications 2010 DOE EERE Vehicle Technologies Program Merit Review - Fuels Technologies 2011 Annual Merit Review Results Report - Fuels & Lubricants

  14. Estimate of Fuel Consumption and GHG Emission Impact on an Automated Mobility District: Preprint

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

    Estimate of Fuel Consumption and GHG Emission Impact on an Automated Mobility District Preprint Yuche Chen, Stanley Young, and Jeff Gonder National Renewable Energy Laboratory Xuewei Qi University of California Riverside Presented at the 4th International Conference on Connected Vehicles & Expo (ICCVE 2015) Shenzhen, China October 19-23, 2015 Conference Paper NREL/CP-5400-65257 December 2015 NOTICE The submitted manuscript has been offered by an employee of the Alliance for Sustainable

  15. NP-MHTGR Fuel Development Program Results

    SciTech Connect (OSTI)

    Maki, John Thomas; Petti, David Andrew; Hobbins, Richard Redfield; McCardell, Richard K.; Shaber, Eric Lee; Southworth, Finis Hio

    2002-10-01

    In August 1988, the Secretary of Energy announced a strategy to acquire New Production Reactor capacity for producing tritium. The strategy involved construction of a New Production Modular High Temperature Gas-Cooled Reactor (NP-MHTGR) where the Idaho National Engineering and Environmental Laboratory (INEEL) was selected as the Management and Operations contractor for the project. Immediately after the announcement in August 1988, tritium target particle development began with the INEEL selected as the lead laboratory. Fuel particle development was initially not considered to be on a critical path for the project, therefore, the fuel development program was to run concurrently with the design effort of the NP-MHTGR.

  16. Fuel Cell Bus Evaluation Results (Presentation) | Department of Energy

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

    Bus Evaluation Results (Presentation) Fuel Cell Bus Evaluation Results (Presentation) Presented at the Transportation Research Board (TRB) 87th Annual Meeting held January 13-17, 2008 in Washington, D.C. 42665.pdf (1.35 MB) More Documents & Publications Technology Validation: Fuel Cell Bus Evaluations Hydrogen and Fuel Cell Transit Bus Evaluations: Joint Evaluation Plan for the U.S. Department of Energy and the Federal Transit Administration; Appendix VTA Prototype Fuel Cell Bus Evaluation:

  17. VTA Prototype Fuel Cell Bus Evaluation: Interim Results (Presentation) |

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

    Department of Energy VTA Prototype Fuel Cell Bus Evaluation: Interim Results (Presentation) VTA Prototype Fuel Cell Bus Evaluation: Interim Results (Presentation) Details hydrogen fuel cell buses being evaluated in service at AC Transit. Presented at the APTA Bus and Paratransit Conference in Anaheim, California, April 30 through May 3, 2006. 40012.pdf (412.92 KB) More Documents & Publications Santa Clara Valley Transportation Authority and San Mateo County Transit District -- Fuel Cell

  18. US RERTR FUEL DEVELOPMENT POST IRRADIATION EXAMINATION RESULTS

    SciTech Connect (OSTI)

    A. B. Robinson; D. M. Wachs; D. E. Burkes; D. D. Keiser

    2008-10-01

    Post irradiation examinations of irradiated RERTR plate type fuel at the Idaho National Laboratory have led to in depth characterization of fuel behavior and performance. Both destructive and non-destructive examination capabilities at the Hot Fuels Examination Facility (HFEF) as well as recent results obtained are discussed herein. New equipment as well as more advanced techniques are also being developed to further advance the investigation into the performance of the high density U-Mo fuel.

  19. Fuel Cell Vehicle Learning Demonstration: Spring 2008 Results (Presentation)

    SciTech Connect (OSTI)

    Wipke, K.; Sprik, S.; Kurtz, J.; Garbak, J.

    2008-04-02

    Presentation prepared for the 2008 National Hydrogen Association Conference that describes the spring 2008 results for DOE's Fuel Cell Vehicle Learning Demonstration.

  20. Modeling Heavy/Medium-Duty Fuel Consumption Based on Drive Cycle Properties

    SciTech Connect (OSTI)

    Wang, Lijuan; Duran, Adam; Gonder, Jeffrey; Kelly, Kenneth

    2015-10-13

    This paper presents multiple methods for predicting heavy/medium-duty vehicle fuel consumption based on driving cycle information. A polynomial model, a black box artificial neural net model, a polynomial neural network model, and a multivariate adaptive regression splines (MARS) model were developed and verified using data collected from chassis testing performed on a parcel delivery diesel truck operating over the Heavy Heavy-Duty Diesel Truck (HHDDT), City Suburban Heavy Vehicle Cycle (CSHVC), New York Composite Cycle (NYCC), and hydraulic hybrid vehicle (HHV) drive cycles. Each model was trained using one of four drive cycles as a training cycle and the other three as testing cycles. By comparing the training and testing results, a representative training cycle was chosen and used to further tune each method. HHDDT as the training cycle gave the best predictive results, because HHDDT contains a variety of drive characteristics, such as high speed, acceleration, idling, and deceleration. Among the four model approaches, MARS gave the best predictive performance, with an average absolute percent error of -1.84% over the four chassis dynamometer drive cycles. To further evaluate the accuracy of the predictive models, the approaches were first applied to real-world data. MARS outperformed the other three approaches, providing an average absolute percent error of -2.2% of four real-world road segments. The MARS model performance was then compared to HHDDT, CSHVC, NYCC, and HHV drive cycles with the performance from Future Automotive System Technology Simulator (FASTSim). The results indicated that the MARS method achieved a comparative predictive performance with FASTSim.

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

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

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

  2. Table 3.6 Selected Wood and Wood-Related Products in Fuel Consumption, 2010;

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

    Table 3.6 Selected Wood and Wood-Related Products in Fuel Consumption, 2010; Level: National and Regional Data; Row: Selected NAICS Codes; Column: Energy Sources; Unit: Trillion Btu. Wood Residues and Wood-Related Pulping Liquor Wood Byproducts and NAICS or Biomass Agricultural Harvested Directly from Mill Paper-Related Code(a) Subsector and Industry Black Liquor Total(b) Waste(c) from Trees(d) Processing(e) Refuse(f) Total United States 311 Food 0 44 43 * * 1 311221 Wet Corn Milling 0 1 1 0 0 0

  3. Connecticut Transit (CTTRANSIT) Fuel Cell Transit Bus: Preliminary Evaluation Results

    SciTech Connect (OSTI)

    Chandler, K.; Eudy, L.

    2008-10-01

    This report provides preliminary results from a National Renewable Energy Laboratory evaluation of a protoptye fuel cell transit bus operating at Connecticut Transit in Hartford. Included are descriptions of the planned fuel cell bus demonstration and equipment; early results and agency experience are also provided.

  4. Select Results from the Energy Assessor Experiment in the 2012 Commercial Buildings Energy Consumption Survey

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

    Select Results from the Energy Assessor Experiment in the 2012 Commercial Buildings Energy Consumption Survey December 2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Select Results from the Energy Assessor Experiment in the 2012 Commercial Buildings Energy Consumption Survey i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the

  5. 2008 Annual Merit Review Results Summary - 10. Fuels Technologies |

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

    Department of Energy 0. Fuels Technologies 2008 Annual Merit Review Results Summary - 10. Fuels Technologies DOE Vehicle Technologies Annual Merit Review 2008_merit_review_10.pdf (1.49 MB) More Documents & Publications 2008 Annual Merit Review Results Summary - 14. Vehicle Systems and Simulation 2008 Annual Merit Review Results Summary - 5. Advanced Power Electronics 2008 Annual Merit Review Results Summary - 13. Health Impacts

  6. Impact of Solar Control PVB Glass on Vehicle Interior Temperatures, Air-Conditioning Capacity, Fuel Consumption, and Vehicle Range

    SciTech Connect (OSTI)

    Rugh, J.; Chaney, L.; Venson, T.; Ramroth, L.; Rose, M.

    2013-04-01

    The objective of the study was to assess the impact of Saflex1 S-series Solar Control PVB (polyvinyl butyral) configurations on conventional vehicle fuel economy and electric vehicle (EV) range. The approach included outdoor vehicle thermal soak testing, RadTherm cool-down analysis, and vehicle simulations. Thermal soak tests were conducted at the National Renewable Energy Laboratory's Vehicle Testing and Integration Facility in Golden, Colorado. The test results quantified interior temperature reductions and were used to generate initial conditions for the RadTherm cool-down analysis. The RadTherm model determined the potential reduction in air-conditioning (A/C) capacity, which was used to calculate the A/C load for the vehicle simulations. The vehicle simulation tool identified the potential reduction in fuel consumption or improvement in EV range between a baseline and modified configurations for the city and highway drive cycles. The thermal analysis determined a potential 4.0% reduction in A/C power for the Saflex Solar PVB solar control configuration. The reduction in A/C power improved the vehicle range of EVs and fuel economy of conventional vehicles and plug-in hybrid electric vehicles.

  7. Loss of spent fuel pool cooling PRA: Model and results

    SciTech Connect (OSTI)

    Siu, N.; Khericha, S.; Conroy, S.; Beck, S.; Blackman, H.

    1996-09-01

    This letter report documents models for quantifying the likelihood of loss of spent fuel pool cooling; models for identifying post-boiling scenarios that lead to core damage; qualitative and quantitative results generated for a selected plant that account for plant design and operational practices; a comparison of these results and those generated from earlier studies; and a review of available data on spent fuel pool accidents. The results of this study show that for a representative two-unit boiling water reactor, the annual probability of spent fuel pool boiling is 5 {times} 10{sup {minus}5} and the annual probability of flooding associated with loss of spent fuel pool cooling scenarios is 1 {times} 10{sup {minus}3}. Qualitative arguments are provided to show that the likelihood of core damage due to spent fuel pool boiling accidents is low for most US commercial nuclear power plants. It is also shown that, depending on the design characteristics of a given plant, the likelihood of either: (a) core damage due to spent fuel pool-associated flooding, or (b) spent fuel damage due to pool dryout, may not be negligible.

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

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

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

  9. Analysis of vehicle fuel release resulting in waste tank fire

    SciTech Connect (OSTI)

    STEPHENS, L.S.

    2003-03-21

    This document reevaluates several aspects of the in-tank vehicle fuel fire/deflagration accident formally documented as an independent accident (representative accident [rep acc] 2). This reevaluation includes frequencies for the accidents and incorporates the behavior of gasoline and diesel fuel in more detail than previous analysis. This reevaluation uses data from RPP-13121, ''Historical Summary of Occurrences from the Tank Farm Safety Analysis Report'', Table B-1, ''Tank Farm Events, Off-Normal and Critiques,'' and B-2, ''Summary of Occurrences,'' and from the River Protection Project--Occurrence Reporting & Processing System (ORPS) reports as a basis for changing some of the conclusions formally reported in HNF-SD-WM-CN-037, ''Frequency Analysis of Vehicle Fuel Releases Resulting in Waste Tank Fire''. This calculation note will demonstrate that the in-tank vehicle fuel fire/deflagration accident event may be relocated to other, more bounding accidents.

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

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

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

  11. Effects of Village Power Quality on Fuel Consumption and Operating Expenses

    SciTech Connect (OSTI)

    Richard Wies; Ron Johnson

    2008-12-31

    Alaska's rural village electric utilities are isolated from the Alaska railbelt electrical grid intertie and from each other. Different strategies have been developed for providing power to meet demand in each of these rural communities. Many of these communities rely on diesel electric generators (DEGs) for power. Some villages have also installed renewable power sources and automated generation systems for controlling the DEGs and other sources of power. For example, Lime Village has installed a diesel battery photovoltaic hybrid system, Kotzebue and Wales have wind-diesel hybrid systems, and McGrath has installed a highly automated system for controlling diesel generators. Poor power quality and diesel engine efficiency in village power systems increases the cost of meeting the load. Power quality problems may consist of poor power factor (PF) or waveform disturbances, while diesel engine efficiency depends primarily on loading, the fuel type, the engine temperature, and the use of waste heat for nearby buildings. These costs take the form of increased fuel use, increased generator maintenance, and decreased reliability. With the cost of bulk fuel in some villages approaching $1.32/liter ($5.00/gallon) a modest 5% decrease in fuel use can result in substantial savings with short payback periods depending on the village's load profile and the cost of corrective measures. This project over its five year history has investigated approaches to improving power quality and implementing fuel savings measures through the use of performance assessment software tools developed in MATLAB{reg_sign} Simulink{reg_sign} and the implementation of remote monitoring, automated generation control, and the addition of renewable energy sources in select villages. The results have shown how many of these communities would benefit from the use of automated generation control by implementing a simple economic dispatch scheme and the integration of renewable energy sources such as wind

  12. Drive Cycle Analysis, Measurement of Emissions and Fuel Consumption of a PHEV School Bus: Preprint

    SciTech Connect (OSTI)

    Barnitt, R.; Gonder, J.

    2011-04-01

    The National Renewable Energy Laboratory (NREL) collected and analyzed real-world school bus drive cycle data and selected similar standard drive cycles for testing on a chassis dynamometer. NREL tested a first-generation plug-in hybrid electric vehicle (PHEV) school bus equipped with a 6.4L engine and an Enova PHEV drive system comprising a 25-kW/80 kW (continuous/peak) motor and a 370-volt lithium ion battery pack. A Bluebird 7.2L conventional school bus was also tested. Both vehicles were tested over three different drive cycles to capture a range of driving activity. PHEV fuel savings in charge-depleting (CD) mode ranged from slightly more than 30% to a little over 50%. However, the larger fuel savings lasted over a shorter driving distance, as the fully charged PHEV school bus would initially operate in CD mode for some distance, then in a transitional mode, and finally in a charge-sustaining (CS) mode for continued driving. The test results indicate that a PHEV school bus can achieve significant fuel savings during CD operation relative to a conventional bus. In CS mode, the tested bus showed small fuel savings and somewhat higher nitrogen oxide (NOx) emissions than the baseline comparison bus.

  13. Deriving In-Use PHEV Fuel Economy Predictions from Standardized Test Cycle Results

    SciTech Connect (OSTI)

    John Smart; Richard "Barney" Carlson; Jeff Gonder; Aaron Brooker

    2009-09-01

    Plug-in hybrid electric vehicles (PHEVs) have potential to reduce or eliminate the U.S. dependence on foreign oil. Quantifying the amount of petroleum each uses, however, is challenging. To estimate in-use fuel economy for conventional vehicles the Environmental Protection Agency (EPA) conducts chassis dynamometer tests on standard historic drive cycles and then adjusts the resulting “raw” fuel economy measurements downward. Various publications, such as the forthcoming update to the SAE J1711 recommended practice for PHEV fuel economy testing, address the challenges of applying standard test procedures to PHEVs. This paper explores the issue of how to apply an adjustment method to such “raw” PHEV dynamometer test results in order to more closely estimate the in-use fuel and electricity consumption characteristics of these vehicles. The paper discusses two possible adjustment methods, and evaluates one method by applying it to dynamometer data and comparing the result to in-use fleet data (on an aftermarket conversion PHEV). The paper will also present the methodologies used to collect the data needed for this comparison.

  14. Vehicle Technologies Office Merit Review 2016: GEFORCE: Gasoline Engine and Fuels Offering Reduced Fuel Consumption and Emissions

    Office of Energy Efficiency and Renewable Energy (EERE)

    Presentation given by Oak Ridge National Laboratory (ORNL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting about Fuel...

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

    SciTech Connect (OSTI)

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

    2014-12-01

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

  16. Indoor air pollution from portable kerosene-fired space heaters. [Effects of wick height and fuel consumption rate

    SciTech Connect (OSTI)

    Traynor, G.W.; Apte, M.G.; Dillworth, J.F.; Grimsrud, D.T.

    1983-02-01

    Indoor use of unvented combustion appliances is known to cause an increase in indoor air pollutant levels. Laboratory tests were conducted on radiant and convective portable kerosene-fired space heaters to identify the pollutants they emit and to determine their emission rates. Laboratory-derived CO and NO/sub 2/ emission rates from unvented portable kerosense-fired space heaters are summarized and the effect of wick height and fuel consumption rate on CO and NO/sub 2/ emissions is given. Pollutant concentration profiles resulting from the use of kerosene heaters in a 27m/sup 3/ environmental chamber and a 240m/sup 3/ house are presented. When such heaters are operated for one hour in a 27m/sup 3/ chamber with 0.4 air changes per hour, the resultant CO/sub 2/ concentrations are well above the U.S. occupational standard, and NO/sub 2/ concentrations are well above California's short-term outdoor standard. Further data on parameters such as heater usage patterns and air exchange rates are needed to determine the actual pollutant exposure that kerosene heater users experience.

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

    Gasoline and Diesel Fuel Update (EIA)

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

  18. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Fuels & Infrastructure All Categories Fuels & Infrastructure Fuel Trends Emissions Alternative Fueling Stations Idle Reduction Transportation Infrastructure Biofuels Production Clean Cities Petroleum Use Reduction Vehicles Program Vehicles AFVs and HEVs Fuel Consumption and Efficiency Vehicle Market Driving Patterns Laws & Incentives Regulated Fleets State & Alt Fuel Providers Federal Fleets OR Go Sort by: Category Most Recent Most Popular 55 results Fuel Trends -

  19. BC Transit Fuel Cell Bus Project Evaluation Results: Second Report

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    BC Transit Fuel Cell Bus Project Evaluation Results: Second Report L. Eudy and M. Post National Renewable Energy Laboratory Technical Report NREL/TP-5400-62317 September 2014 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications. Contract No. DE-AC36-08GO28308 National

  20. Fuel Cell Technologies Office: Plans, Implementation, and Results

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

    Chart & Contacts Quick Links Hydrogen Production Hydrogen Delivery Hydrogen Storage Fuel Cells Technology Validation Codes & Standards Education Systems Analysis Plans,...

  1. A STUDY OF THE DISCREPANCY BETWEEN FEDERAL AND STATE MEASUREMENTS OF ON-HIGHWAY FUEL CONSUMPTION

    SciTech Connect (OSTI)

    Hwang, HL

    2003-08-11

    Annual highway fuel taxes are collected by the Treasury Department and placed in the Highway Trust Fund (HTF). There is, however, no direct connection between the taxes collected by the Treasury Department and the gallons of on-highway fuel use, which can lead to a discrepancy between these totals. This study was conducted to determine how much of a discrepancy exists between the total fuel usages estimated based on highway revenue funds as reported by the Treasury Department and the total fuel usages used in the apportionment of the HTF to the States. The analysis was conducted using data from Highway Statistics Tables MF-27 and FE-9 for the years 1991-2001. It was found that the overall discrepancy is relatively small, mostly within 5% difference. The amount of the discrepancy varies from year to year and varies among the three fuel types (gasoline, gasohol, special fuels). Several potential explanations for these discrepancies were identified, including issues on data, tax measurement, gallon measurement, HTF receipts, and timing. Data anomalies caused by outside forces, such as deferment of tax payments from one fiscal year to the next, can skew fuel tax data. Fuel tax evasion can lead to differences between actual fuel use and fuel taxes collected. Furthermore, differences in data collection and reporting among States can impact fuel use data. Refunds, credits, and transfers from the HTF can impact the total fuel tax receipt data. Timing issues, such as calendar year vs. fiscal year, can also cause some discrepancy between the two data sources.

  2. Residential Energy Consumption Survey:

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

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

  3. Demonstrating Fuel Consumption and Emissions Reductions with Next Generation Model-Based Diesel Engine Control

    Broader source: Energy.gov [DOE]

    Presents a next generation model-based engine controller that incorporates real-time fuel efficiency optimization and tested under fully transient engine and vehicle operating conditions.

  4. 2013 Annual Merit Review Results Report - Fuels & Lubricants

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

    ... has high impact and has provided significant guidance to the biofuel and fuel industries. ... to evaluate the impacts on emissions and engine systems, and on the performance, ...

  5. Fossil fuel potential of Turkey: A statistical evaluation of reserves, production, and consumption

    SciTech Connect (OSTI)

    Korkmaz, S.; Kara-Gulbay, R.; Turan, M.

    2008-07-01

    Since Turkey is a developing country with tremendous economic growth, its energy demand is also getting increased. Of this energy, about 70% is supplied from fossil fuels and the remaining 30% is from renewable sources. Among the fossil fuels, 90% of oil, natural gas, and coal are imported, and only 10% is from domestic sources. All the lignite is supplied from domestic sources. The total share of renewable sources and lignite in the total energy production is 45%. In order for Turkey to have sufficient and reliable energy sources, first the renewable energy sources must be developed, and energy production from fossil fuels, except for lignite, must be minimized. Particularly, scarcity of fossil fuels and increasing oil prices have a strong effect on economic growth of the country.

  6. Fact #704: December 5, 2011 Fuel Consumption Standards for New Heavy Pickups and Vans

    Office of Energy Efficiency and Renewable Energy (EERE)

    In September 2011 the National Highway Traffic Safety Administration issued the final rule to set standards regulating the fuel use of new vehicles heavier than 8,500 lbs. gross vehicle weight....

  7. Complete Fuel Combustion for Diesel Engines Resulting in Greatly Reduced Emissions and Improved Fuel Efficiency

    Broader source: Energy.gov [DOE]

    An advanced engine design that is 15 percent more efficient than diesel, pollution free, and uses any fuel.

  8. Roadmap for Development of Natural Gas Vehicle Fueling Infrastructructure and Analysis of Vehicular Natural Gas Consumption by Niche Sector

    SciTech Connect (OSTI)

    Stephen C. Yborra

    2007-04-30

    Vehicular natural gas consumption is on the rise, totaling nearly 200 million GGEs in 2005, despite declines in total NGV inventory in recent years. This may be attributed to greater deployment of higher fuel use medium- and heavy-duty NGVs as compared to the low fuel use of the natural gas-powered LDVs that exited the market through attrition, many of which were bi-fuel. Natural gas station counts are down to about 1100 from their peak of about 1300. Many of the stations that closed were under-utilized or not used at all while most new stations were developed with greater attention to critical business fundamentals such as site selection, projected customer counts, peak and off-peak fueling capacity needs and total station throughput. Essentially, the nation's NGV fueling infrastructure has been--and will continue--going through a 'market correction'. While current economic fundamentals have shortened payback and improved life-cycle savings for investment in NGVs and fueling infrastructure, a combination of grants and other financial incentives will still be needed to overcome general fleet market inertia to maintain status quo. Also imperative to the market's adoption of NGVs and other alternative fueled vehicle and fueling technologies is a clear statement of long-term federal government commitment to diversifying our nation's transportation fuel use portfolio and, more specifically, the role of natural gas in that policy. Based on the current NGV market there, and the continued promulgation of clean air and transportation policies, the Western Region is--and will continue to be--the dominant region for vehicular natural gas use and growth. In other regions, especially the Northeast, Mid-Atlantic states and Texas, increased awareness and attention to air quality and energy security concerns by the public and - more important, elected officials--are spurring policies and programs that facilitate deployment of NGVs and fueling infrastructure. Because of their high

  9. Results of 200 KW fuel cell evaluation programs

    SciTech Connect (OSTI)

    Torrey, J.M.; Merten, G.P.; Binder, M.J.

    1996-12-31

    Science Applications International Corporation (SAIC) has installed six monitoring systems on ONSI Corporation 200 kW phosphoric acid fuel cells. Three of the systems were installed for the U.S. Army Construction Engineering Research Laboratories (USACERL) which is coordinating the Department of Defense (DoD) fuel cell Demonstration Program and three were installed under a contract with the New York State Energy Research and Development Authority (NYSERDA). Monitoring of the three NYSERDA sites has been completed. Monitoring systems for the DoD fuel cells were installed in August, 1996 and thus no operating data was available at the time of this writing, but will be presented at the Fuel Cell Seminar. This paper will present the monitoring configuration and research approach for each program. Additionally, summary performance data is presented for the completed NYSERDA program.

  10. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    State & Alt Fuel Providers All Categories Fuels & Infrastructure Fuel Trends Emissions Alternative Fueling Stations Idle Reduction Transportation Infrastructure Biofuels Production Clean Cities Petroleum Use Reduction Vehicles Program Vehicles AFVs and HEVs Fuel Consumption and Efficiency Vehicle Market Driving Patterns Laws & Incentives Regulated Fleets State & Alt Fuel Providers Federal Fleets OR Go Sort by: Category Most Recent Most Popular 6 results

  11. Analysis of Technology Options to Reduce the Fuel Consumption of Idling Trucks

    SciTech Connect (OSTI)

    F. Stodolsky; L. Gaines; A. Vyas

    2000-06-01

    Long-haul trucks idling overnight consume more than 838 million gallons (20 million barrels) of fuel annually. Idling also emits pollutants. Truck drivers idle their engines primarily to (1) heat or cool the cab and/or sleeper, (2) keep the fuel warm in winter, and (3) keep the engine warm in the winter so that the engine is easier to start. Alternatives to overnight idling could save much of this fuel, reduce emissions, and cut operating costs. Several fuel-efficient alternatives to idling are available to provide heating and cooling: (1) direct-fired heater for cab/sleeper heating, with or without storage cooling; (2) auxiliary power units; and (3) truck stop electrification. Many of these technologies have drawbacks that limit market acceptance. Options that supply electricity are economically viable for trucks that are idled for 1,000-3,000 or more hours a year, while heater units could be used across the board. Payback times for fleets, which would receive quantity discounts on the prices, would be somewhat shorter.

  12. Video game console usage and US national energy consumption: Results from a field-metering study

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

    Desroches, Louis-Benoit; Greenblatt, Jeffery B.; Pratt, Stacy; Willem, Henry; Claybaugh, Erin; Beraki, Bereket; Nagaraju, Mythri; Price, Sarah K.; Young, Scott J.; Donovan, Sally M.; et al

    2014-10-23

    There has been an increased in attention placed on the energy consumption of miscellaneous electronic loads in buildings by energy analysts and policymakers in recent years. The share of electricity consumed by consumer electronics in US households has increased in the last decade. Many devices, however, lack robust energy use data, making energy consumption estimates difficult and uncertain. Video game consoles are high-performance machines present in approximately half of all households and can consume a considerable amount of power. The precise usage of game consoles has significant uncertainty, however, leading to a wide range of recent national energy consumption estimates.more » We present here an analysis based on field-metered usage data, collected as part of a larger field metering study in the USA. This larger study collected data from 880 households in 2012 on a variety of devices, including 113 game consoles (the majority of which are Generation 7 consoles). From our metering, we find that although some consoles are left on nearly 24 h/day, the overall average usage is lower than many other studies have assumed, leading to a US national energy consumption estimate of 7.1 TWh in 2012. Nevertheless, there is an opportunity to reduce energy use with proper game console power management, as a substantial amount of game console usage occurs with the television turned off. The emergence of Generation 8 consoles may increase national energy consumption.« less

  13. Video game console usage and US national energy consumption: Results from a field-metering study

    SciTech Connect (OSTI)

    Desroches, Louis-Benoit; Greenblatt, Jeffery B.; Pratt, Stacy; Willem, Henry; Claybaugh, Erin; Beraki, Bereket; Nagaraju, Mythri; Price, Sarah K.; Young, Scott J.; Donovan, Sally M.; Ganeshalingam, Mohan

    2014-10-23

    There has been an increased in attention placed on the energy consumption of miscellaneous electronic loads in buildings by energy analysts and policymakers in recent years. The share of electricity consumed by consumer electronics in US households has increased in the last decade. Many devices, however, lack robust energy use data, making energy consumption estimates difficult and uncertain. Video game consoles are high-performance machines present in approximately half of all households and can consume a considerable amount of power. The precise usage of game consoles has significant uncertainty, however, leading to a wide range of recent national energy consumption estimates. We present here an analysis based on field-metered usage data, collected as part of a larger field metering study in the USA. This larger study collected data from 880 households in 2012 on a variety of devices, including 113 game consoles (the majority of which are Generation 7 consoles). From our metering, we find that although some consoles are left on nearly 24 h/day, the overall average usage is lower than many other studies have assumed, leading to a US national energy consumption estimate of 7.1 TWh in 2012. Nevertheless, there is an opportunity to reduce energy use with proper game console power management, as a substantial amount of game console usage occurs with the television turned off. The emergence of Generation 8 consoles may increase national energy consumption.

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

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

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

  16. Reducing Fuel Consumption through Semi-Automated Platooning with Class 8 Tractor Trailer Combinations (Poster)

    SciTech Connect (OSTI)

    Lammert, M.; Gonder, J.

    2014-07-01

    This poster describes the National Renewable Energy Laboratory's evaluation of the fuel savings potential of semi-automated truck platooning. Platooning involves reducing aerodynamic drag by grouping vehicles together and decreasing the distance between them through the use of electronic coupling, which allows multiple vehicles to accelerate or brake simultaneously. The NREL study addressed the need for data on American style line-haul sleeper cabs with modern aerodynamics and over a range of trucking speeds common in the United States.

  17. BC Transit Fuel Cell Bus Project: Evaluation Results Report

    SciTech Connect (OSTI)

    Eudy, L.; Post, M.

    2014-02-01

    This report evaluates a fuel cell electric bus demonstration led by British Columbia Transit (BC Transit) in Whistler, Canada. BC Transit is collaborating with the California Air Resources Board and the U.S. Department of Energy's National Renewable Energy Laboratory to evaluate the buses in revenue service. This evaluation report covers two years of revenue service data on the buses from April 2011 through March 2013.

  18. Alternative fuel transit buses: Interim results from the National Renewable Energy Laboratory (NREL) Vehicle Evaluation Program

    SciTech Connect (OSTI)

    Motta, R.; Norton, P.; Kelly, K.J.; Chandler, K.

    1995-05-01

    The transit bus program is designed to provide a comprehensive study of the alternative fuels currently used by the transit bus industry. The study focuses on the reliability, fuel economy, operating costs, and emissions of vehicles running on the various fuels and alternative fuel engines. The alternative fuels being tested are methanol, ethanol, biodiesel and natural gas. The alternative fuel buses in this program use the most common alternative fuel engines from the heavy-duty engine manufacturers. Data are collected in four categories: Bus and route descriptions; Bus operating data; Emissions data; and, Capital costs. The goal is to collect 18 months of data on each test bus. This report summarizes the interim results from the project to date. The report addresses performance and reliability, fuel economy, costs, and emissions of the busses in the program.

  19. Emissions and Fuel Consumption Test Results from a Plug-In Hybrid Electric School Bus

    Office of Energy Efficiency and Renewable Energy (EERE)

    2010 DOE Vehicle Technologies and Hydrogen Programs Annual Merit Review and Peer Evaluation Meeting, June 7-11, 2010 -- Washington D.C.

  20. BC Transit Fuel Cell Bus Project Evaluation Results: Second Report

    SciTech Connect (OSTI)

    Eudy, L.; Post, M.

    2014-09-01

    Second report evaluating a fuel cell electric bus (FCEB) demonstration led by British Columbia Transit (BC Transit) in Whistler, Canada. BC Transit is collaborating with the California Air Resources Board and the U.S. Department of Energy's National Renewable Energy Laboratory to evaluate the buses in revenue service. NREL published its first report on the demonstration in February 2014. This report is an update to the previous report; it covers 3 full years of revenue service data on the buses from April 2011 through March 2014 and focuses on the final experiences and lessons learned.

  1. Alameda-Contra Costa Transit District Fuel Cell Transit Buses: Evalluation Results Update

    Broader source: Energy.gov [DOE]

    This report is an update to the 2007 preliminary results report on hydrogen fuel cell and diesel buses operating at Alameda-Contra Costa Transit District.

  2. Overview of Vehicle Test and Analysis Results from NREL's A/C Fuel Use Reduction Research

    SciTech Connect (OSTI)

    Bharathan, D.; Chaney, L.; Farrington, R. B.; Lustbader, J.; Keyser, M.; Rugh, J. P.

    2007-06-01

    This paper summarizes results of air-conditioning fuel use reduction technologies and techniques for light-duty vehicles evaluated over the last 10 years.

  3. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Clean Cities All Categories Fuels & Infrastructure Fuel Trends Emissions Alternative Fueling Stations Idle Reduction Transportation Infrastructure Biofuels Production Clean Cities Petroleum Use Reduction Vehicles Program Vehicles AFVs and HEVs Fuel Consumption and Efficiency Vehicle Market Driving Patterns Laws & Incentives Regulated Fleets State & Alt Fuel Providers Federal Fleets OR Go Sort by: Category Most Recent Most Popular 9 results Petroleum Use Reduction -

  4. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Regulated Fleets All Categories Fuels & Infrastructure Fuel Trends Emissions Alternative Fueling Stations Idle Reduction Transportation Infrastructure Biofuels Production Clean Cities Petroleum Use Reduction Vehicles Program Vehicles AFVs and HEVs Fuel Consumption and Efficiency Vehicle Market Driving Patterns Laws & Incentives Regulated Fleets State & Alt Fuel Providers Federal Fleets OR Go Sort by: Category Most Recent Most Popular 7 results Federal Fleets -

  5. Fuel Tables.indd

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

    F4: Fuel ethanol consumption estimates, 2014 State Commercial Industrial Transportation ... a In estimating the Btu consumption of fuel ethanol, the Btu content of denaturant ...

  6. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (EIA)

    F2: Jet fuel consumption, price, and expenditure estimates, 2014 State Jet fuel a Consumption Prices Expenditures Thousand barrels Trillion Btu Dollars per million Btu Million ...

  7. SunLine Transit Agency Advanced Technology Fuel Cell Bus Evaluation: First Results Report

    SciTech Connect (OSTI)

    Eudy, L.; Chandler, K.

    2011-03-01

    This report describes operations at SunLine Transit Agency for their newest prototype fuel cell bus and five compressed natural gas (CNG) buses. In May 2010, SunLine began operating its sixth-generation hydrogen fueled bus, an Advanced Technology (AT) fuel cell bus that incorporates the latest design improvements to reduce weight and increase reliability and performance. The agency is collaborating with the U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) to evaluate the bus in revenue service. This report provides the early data results and implementation experience of the AT fuel cell bus since it was placed in service.

  8. Zero Emission Bay Area (ZEBA) Fuel Cell Bus Demonstration Results. Fourth Report

    SciTech Connect (OSTI)

    Eudy, Leslie; Post, Matthew

    2015-07-02

    This report presents results of a demonstration of fuel cell electric buses (FCEB) operating in Oakland, California. Alameda-Contra Costa Transit District (AC Transit) leads the Zero Emission Bay Area (ZEBA) demonstration, which includes 12 advanced-design fuel cell buses and two hydrogen fueling stations. The FCEBs in service at AC Transit are 40-foot, low-floor buses built by Van Hool with a hybrid electric propulsion system that includes a US Hybrid fuel cell power system and EnerDel lithium-based energy storage system. The buses began revenue service in May 2010.

  9. SunLine Transit Agency Advanced Technology Fuel Cell Bus Evaluation: Fourth Results Report

    SciTech Connect (OSTI)

    Eudy, L.; Chandler, K.

    2013-01-01

    SunLine Transit Agency, which provides public transit services to the Coachella Valley area of California, has demonstrated hydrogen and fuel cell bus technologies for more than 10 years. In May 2010, SunLine began demonstrating the advanced technology (AT) fuel cell bus with a hybrid electric propulsion system, fuel cell power system, and lithium-based hybrid batteries. This report describes operations at SunLine for the AT fuel cell bus and five compressed natural gas buses. The U.S. Department of Energy's National Renewable Energy Laboratory (NREL) is working with SunLine to evaluate the bus in real-world service to document the results and help determine the progress toward technology readiness. NREL has previously published three reports documenting the operation of the fuel cell bus in service. This report provides a summary of the results with a focus on the bus operation from February 2012 through November 2012.

  10. Composition of high fission product wastes resulting from future reprocessing of commercial nuclear fuels

    SciTech Connect (OSTI)

    Swanson, J.L

    1986-07-01

    Pacific Northwest Laboratory studies, aimed at defining appropriate glass compositions for future disposal of high-level wastes, have developed composition ranges for the waste that will likely result during reprocessing of Light Water Reactor (LWR) and Liquid Metal Reactor (LMR) fuels. The purpose of these studies was to provide baseline waste characterizations for possible future commercial high-level waste so that waste immobilization technologies (e.g., vitrification) can be studied. Ranges in waste composition are emphasized because the waste will vary with time as different fuels are reprocesses, because choice of process chemicals is nuclear, and because fuel burnups will vary. Consequently, composition ranges are based on trends in fuel reprocessing procedures and on achievable burnups in operating reactors. In addition to the fission product and actinide elements, which are the primary hazardous materials in the waste, likely composition ranges are given for inert elements that may be present in the waste. These other elements may be present because of being present in the fuel, because of being added as process chemical during reprocessing, because of being added during equipment decontamination, or because of corrosion of plant equipment and/or fuel element cladding. This report includes a discussion of the chemicals added in variation of the PUREX process, which is likely to remain the favored reprocessing technique for commercial nuclear fuels. Consideration is also given to a pyrochemical process proposed for the reprocessing of some LMR fuels.

  11. Alternative fuel vehicles: The emerging emissions picture. Interim results, Summer 1996

    SciTech Connect (OSTI)

    1996-10-01

    In this pamphlet, program goal, description, vehicles/fuels tested, and selected emissions results are given for light-duty and heavy-duty vehicles. Other NREL R&D programs and publications are mentioned briefly.

  12. Preliminary Results of Voloxidation Processing of Kilogram Quantities of Used Nuclear Fuel

    SciTech Connect (OSTI)

    Spencer, Barry B; DelCul, Guillermo D; Jubin, Robert Thomas; Owens, R Steven; Ramey, Dan W; Collins, Emory D

    2009-01-01

    -substituted zeolite to capture iodine (e.g. as AgI), a caustic scrubber to collect carbon dioxide (including 14CO2), a hydrogen-substituted mordenite to capture krypton (e.g. 85Kr) by cryogenic temperature swing adsorption, and a silver-substituted mordenite to capture xenon by cryogenic temperature swing absorption. The quantities of these volatile gases collected were compared to ORIGEN calculations to estimate the effectiveness of the voloxidation process to separate the volatiles from the used fuel. This paper will describe the voloxidation system and present preliminary results from the second processing campaign.

  13. Results from the DOE Advanced Gas Reactor Fuel Development and Qualification Program

    SciTech Connect (OSTI)

    David Petti

    2014-06-01

    Modular HTGR designs were developed to provide natural safety, which prevents core damage under all design basis accidents and presently envisioned severe accidents. The principle that guides their design concepts is to passively maintain core temperatures below fission product release thresholds under all accident scenarios. This level of fuel performance and fission product retention reduces the radioactive source term by many orders of magnitude and allows potential elimination of the need for evacuation and sheltering beyond a small exclusion area. This level, however, is predicated on exceptionally high fuel fabrication quality and performance under normal operation and accident conditions. Germany produced and demonstrated high quality fuel for their pebble bed HTGRs in the 1980s, but no U.S. manufactured fuel had exhibited equivalent performance prior to the Advanced Gas Reactor (AGR) Fuel Development and Qualification Program. The design goal of the modular HTGRs is to allow elimination of an exclusion zone and an emergency planning zone outside the plant boundary fence, typically interpreted as being about 400 meters from the reactor. To achieve this, the reactor design concepts require a level of fuel integrity that is better than that claimed for all prior US manufactured TRISO fuel, by a few orders of magnitude. The improved performance level is about a factor of three better than qualified for German TRISO fuel in the 1980’s. At the start of the AGR program, without a reactor design concept selected, the AGR fuel program selected to qualify fuel to an operating envelope that would bound both pebble bed and prismatic options. This resulted in needing a fuel form that could survive at peak fuel temperatures of 1250°C on a time-averaged basis and high burnups in the range of 150 to 200 GWd/MTHM (metric tons of heavy metal) or 16.4 to 21.8% fissions per initial metal atom (FIMA). Although Germany has demonstrated excellent performance of TRISO-coated UO

  14. Evaluation of coal-derived liquids as boiler fuels. Volume 2: boiler test results. Final report

    SciTech Connect (OSTI)

    Not Available

    1985-09-01

    A combustion demonstration using six coal-derived liquid (CDL) fuels was conducted on a utility boiler located at the Plant Sweatt Electric Generating Station of Mississippi Power Company in Meridian, Mississippi. The test program was conducted in two phases. The first phase included the combustion tests of the two conventional fuels (natural gas and No. 6 fuel oil) and three coal-derived liquid fuels (Solvent Refined Coal-II full range distillate, H-Coal heavy distillate and H-Coal blended distillate). The second phase involved the evaluation of three additional CDL fuels (H-Coal light distillate, Exxon Donor Solvent full range distillate and Solvent Refined Coal-II middle distillate). The test boiler was a front wall-fired Babcock and Wilcox unit with a rated steam flow of 425,000 lb/h and a generating capacity of 40 MW. Boiler performance and emissions were evaluated with baseline and CDL fuels at 15, 25, 40 MW loads and at various excess air levels. Low NO/sub x/ (staged) combustion techniques were also implemented. Boiler performance monitoring included measurements for fuel steam and flue gas flow, pressure, temperature, and heat absorption, resulting in a calculated combustion efficiency, boiler efficiency, and heat rate. Emissions measurements included oxygen, carbon dioxide, carbon monoxide, oxides of nitrogen, sulfur dioxide, sulfur trioxide, acid dewpoint, particulate mass, size distribution and morphology, chlorides, and opacity. The test program demonstrated the general suitability of CDL fuels for use in existing oil-fired utility boilers. No significant boiler tube surface modifications will be required. The CDL fuels could be handled similarly to No. 2 oil with appropriate safety procedures and materials compatibility considerations. Volume 2 of a five-volume report contains the detailed boiler test results. 96 figs., 26 tabs.

  15. Performance of Thorium-Based Mixed Oxide Fuels for the Consumption of Plutonium and Minor Actinides in Current and Advanced Reactors

    SciTech Connect (OSTI)

    Weaver, Kevan Dean; Herring, James Stephen

    2002-06-01

    A renewed interest in thorium-based fuels has arisen lately based on the need for proliferation resistance, longer fuel cycles, higher burnup and improved wasteform characteristics. Recent studies have been directed toward homogeneously mixed, heterogeneously mixed, and seed-and-blanket thorium-uranium fuel cycles that rely on "in situ" use of the bred-in U-233. However, due to the higher initial enrichment required to achieve acceptable burnups, these fuels are encountering economic constraints. Thorium can nevertheless play a large role in the nuclear fuel cycle; particularly in the reduction of plutonium. While uranium-based mixedoxide (MOX) fuel will decrease the amount of plutonium, the reduction is limited due to the breeding of more plutonium (and higher actinides) from the U-238. Here we present calculational results and a comparison of the potential burnup of a thorium-based and uranium-based mixed oxide fuel in a light water reactor (LWR). Although the uranium-based fuels outperformed the thorium-based fuels in achievable burnup, a depletion comparison of the initially charged plutonium (both reactor and weapons grade) showed that the thorium-based fuels outperformed the uranium-based fuels by more that a factor of 2; where more than 70% of the total plutonium in the thorium-based fuel is consumed during the cycle. This is significant considering that the achievable burnup of the thorium-based fuels were 1.4 to 4.6 times less than the uranium-based fuels. Furthermore, use of a thorium-based fuel could also be used as a strategy for reducing the amount of long-lived nuclides (including the minor actinides), and thus the radiotoxicity in spent nuclear fuel. Although the breeding of U-233 is a concern, the presence of U-232 and its daughter products can aid in making this fuel self-protecting, and/or enough U-238 can be added to denature the fissile uranium. From these calculations, it appears that thorium-based fuel for plutonium incineration is superior as

  16. Evolution of Fuel-Air and Contaminant Clouds Resulting from a Cruise Missile Explosion Scenario

    SciTech Connect (OSTI)

    Grossman, A S; Kul, A L

    2005-06-22

    A low-mach-number hydrodynamics model has been used to simulate the evolution of a fuel-air mixture and contaminant cloud resulting from the detonation of a cruise missile. The detonation has been assumed to be non-nuclear. The cloud evolution has been carried out to a time of 5.5 seconds. At this time the contaminant has completely permeated the initial fuel-air mixture cloud.

  17. FTP Emissions Test Results from Flexible-Fuel Methanol Dodge Spirits and Ford Econoline Vans

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    FTP Emissions Test Results from Flexible-Fuel Methanol Dodge Spirits and Ford Econoline Vans Kenneth J. Kelly, Brent K. Bailey, and Timothy C. Coburn National Renewable Energy Laboratory Wendy Clark Automotive Testing Laboratories, Inc. Leslie Eudy ManTech Environmental Technology, Inc. Peter Lissiuk Environmental Research and Development Corp. Presented at Society for Automotive Engineers International Spring Fuels and Lubricants Meeting Dearborn, MI May 6-8, 1996 The work described here was

  18. Federal Test Procedure Emissions Test Results from Ethanol Variable-Fuel Vehicle Chevrolet Luminas

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Federal Test Procedure Emissions Test Results from Ethanol Variable-Fuel Vehicle Chevrolet Luminas Kenneth J. Kelly, Brent K. Bailey, and Timothy C. Coburn National Renewable Energy Laboratory Wendy Clark Automotive Testing Laboratories, Inc. Peter Lissiuk Environmental Research and Development Corp. Presented at Society for Automotive Engineers International Spring Fuels and Lubricants Meeting Dearborn, MI May 6-8, 1996 The work described here was wholly funded by the U.S. Department of Energy,

  19. Promising Fuel Cycle Options for R&D – Results, Insights, and Future Directions

    SciTech Connect (OSTI)

    Wigeland, Roald Arnold

    2015-05-01

    The Fuel Cycle Options (FCO) campaign in the U.S. DOE Fuel Cycle Research & Development Program conducted a detailed evaluation and screening of nuclear fuel cycles. The process for this study was described at the 2014 ICAPP meeting. This paper reports on detailed insights and questions from the results of the study. The comprehensive study identified continuous recycle in fast reactors as the most promising option, using either U/Pu or U/TRU recycle, and potentially in combination with thermal reactors, as reported at the ICAPP 2014 meeting. This paper describes the examination of the results in detail that indicated that there was essentially no difference in benefit between U/Pu and U/TRU recycle, prompting questions about the desirability of pursuing the more complex U/TRU approach given that the estimated greater challenges for development and deployment. The results will be reported from the current effort that further explores what, if any, benefits of TRU recycle (minor actinides in addition to plutonium recycle) may be in order to inform decisions on future R&D directions. The study also identified continuous recycle using thorium-based fuel cycles as potentially promising, in either fast or thermal systems, but with lesser benefit. Detailed examination of these results indicated that the lesser benefit was confined to only a few of the evaluation metrics, identifying the conditions under which thorium-based fuel cycles would be promising to pursue. For the most promising fuel cycles, the FCO is also conducting analyses on the potential transition to such fuel cycles to identify the issues, challenges, and the timing for critical decisions that would need to be made to avoid unnecessary delay in deployment, including investigation of issues such as the effects of a temporary lack of plutonium fuel resources or supporting infrastructure. These studies are placed in the context of an overall analysis approach designed to provide comprehensive information to

  20. Initial operating results of coal-fired steam generators converted to 100% refuse-derived fuel

    SciTech Connect (OSTI)

    Barsin, J.A. ); Graika, P.K. ); Gonyeau, J.A. ); Bloomer, T.M. )

    1988-01-01

    The conversion of Northern States Power Company's (NSP) Red Wing and Wilmarth steam generators to fire refuse-derived fuel (RDF) is discussed. The use of the existing plant with the necessary modifications to the boilers has allowed NSP to effectively incinerate the fuel as required by Washington and Ramsey Counties. This paper covers the six-month start-up of Red Wing No. 1, commencing in May 1987, and the operating results since the plant went commercial in July 1987.

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

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

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

  3. Displacing Natural Gas Consumption and Lowering Emissions

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

    ADVANCED MANUFACTURING OFFICE Displacing Natural Gas Consumption and Lowering Emissions By ... full advantage of op- portunity fuels and thereby reduce their natural gas consumption. ...

  4. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Alternative Fueling Stations All Categories Fuels & Infrastructure Fuel Trends Emissions Alternative Fueling Stations Idle Reduction Transportation Infrastructure Biofuels Production Clean Cities Petroleum Use Reduction Vehicles Program Vehicles AFVs and HEVs Fuel Consumption and Efficiency Vehicle Market Driving Patterns Laws & Incentives Regulated Fleets State & Alt Fuel Providers Federal Fleets OR Go Sort by: Category Most Recent Most Popular 13 results Arra-thumb ARRA

  5. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Biofuels Production All Categories Fuels & Infrastructure Fuel Trends Emissions Alternative Fueling Stations Idle Reduction Transportation Infrastructure Biofuels Production Clean Cities Petroleum Use Reduction Vehicles Program Vehicles AFVs and HEVs Fuel Consumption and Efficiency Vehicle Market Driving Patterns Laws & Incentives Regulated Fleets State & Alt Fuel Providers Federal Fleets OR Go Sort by: Category Most Recent Most Popular 16 results Biofuelsatlas BioFuels Atlas

  6. SunLine Transit Agency Advanced Technology Fuel Cell Bus Evaluation: Second Results Report and Appendices

    SciTech Connect (OSTI)

    Eudy, L.; Chandler, K.

    2011-10-01

    This report describes operations at SunLine Transit Agency for their newest prototype fuel cell bus and five compressed natural gas (CNG) buses. In May 2010, SunLine began operating its sixth-generation hydrogen fueled bus, an Advanced Technology (AT) fuel cell bus that incorporates the latest design improvements to reduce weight and increase reliability and performance. The agency is collaborating with the U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) to evaluate the bus in revenue service. This is the second results report for the AT fuel cell bus since it was placed in service, and it focuses on the newest data analysis and lessons learned since the previous report. The appendices, referenced in the main report, provide the full background for the evaluation. They will be updated as new information is collected but will contain the original background material from the first report.

  7. SunLine Transit Agency Advanced Technology Fuel Cell Bus Evaluation: Third Results Reports

    SciTech Connect (OSTI)

    Eudy, L.; Chandler, K.

    2012-05-01

    This report describes operations at SunLine Transit Agency for their newest prototype fuel cell bus and five compressed natural gas (CNG) buses. In May 2010, SunLine began operating its sixth-generation hydrogen fueled bus, an Advanced Technology (AT) fuel cell bus that incorporates the latest design improvements to reduce weight and increase reliability and performance. The agency is collaborating with the U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) to evaluate the bus in revenue service. NREL has previously published two reports documenting the operation of the fuel cell bus in service. This report provides a summary of the results with a focus on the bus operation from July 2011 through January 2012.

  8. United States National Hydrogen Fuel Cell Vehicle and Infrastructure Learning Demonstration - Status and Results (Presentation)

    SciTech Connect (OSTI)

    Wipke,K.; Sprik, S.; Kurtz, J.; Ramsden, T.; Garbak, J.

    2009-03-06

    This presentation provides status and results for the United States National Hydrogen Fuel Cell Vehicle Learning Demonstration, including project objectives, partners, the National Renewable Energy Laboratory's role in the project and methodology, how to access complete results, and results of vehicle and infrastructure analysis.

  9. Sensitivity Analysis of FEAST-Metal Fuel Performance Code: Initial Results

    SciTech Connect (OSTI)

    Edelmann, Paul Guy; Williams, Brian J.; Unal, Cetin; Yacout, Abdellatif

    2012-06-27

    This memo documents the completion of the LANL milestone, M3FT-12LA0202041, describing methodologies and initial results using FEAST-Metal. The FEAST-Metal code calculations for this work are being conducted at LANL in support of on-going activities related to sensitivity analysis of fuel performance codes. The objective is to identify important macroscopic parameters of interest to modeling and simulation of metallic fuel performance. This report summarizes our preliminary results for the sensitivity analysis using 6 calibration datasets for metallic fuel developed at ANL for EBR-II experiments. Sensitivity ranking methodology was deployed to narrow down the selected parameters for the current study. There are approximately 84 calibration parameters in the FEAST-Metal code, of which 32 were ultimately used in Phase II of this study. Preliminary results of this sensitivity analysis led to the following ranking of FEAST models for future calibration and improvements: fuel conductivity, fission gas transport/release, fuel creep, and precipitation kinetics. More validation data is needed to validate calibrated parameter distributions for future uncertainty quantification studies with FEAST-Metal. Results of this study also served to point out some code deficiencies and possible errors, and these are being investigated in order to determine root causes and to improve upon the existing code models.

  10. Preliminary Experimental Results of Integrated Gasification Fuel Cell Operation Using Hardware Simulation

    SciTech Connect (OSTI)

    Traverso, Alberto; Tucker, David; Haynes, Comas L.

    2012-07-01

    A newly developed integrated gasification fuel cell (IGFC) hybrid system concept has been tested using the Hybrid Performance (Hyper) project hardware-based simulation facility at the U.S. Department of Energy, National Energy Technology Laboratory. The cathode-loop hardware facility, previously connected to the real-time fuel cell model, was integrated with a real-time model of a gasifier of solid (biomass and fossil) fuel. The fuel cells are operated at the compressor delivery pressure, and they are fueled by an updraft atmospheric gasifier, through the syngas conditioning train for tar removal and syngas compression. The system was brought to steady state; then several perturbations in open loop (variable speed) and closed loop (constant speed) were performed in order to characterize the IGFC behavior. Coupled experiments and computations have shown the feasibility of relatively fast control of the plant as well as a possible mitigation strategy to reduce the thermal stress on the fuel cells as a consequence of load variation and change in gasifier operating conditions. Results also provided an insight into the different features of variable versus constant speed operation of the gas turbine section.

  11. US ENC IL Site Consumption

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

    electricity consumption in the state low relative to other parts of the U.S. * Over 80% of Illinois households use natural gas as their main space heating fuel. CONSUMPTION BY END ...

  12. Health Care Buildings: Consumption Tables

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

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

  13. The potential effect of future energy-efficiency and emissions-improving technologies on fuel consumption of heavy trucks.

    SciTech Connect (OSTI)

    Vyas, A.; Saricks, C.; Stodolsky, F.

    2003-03-14

    Researchers at Argonne National Laboratory analyzed heavy-duty truck technologies to support the Energy Information Administration's long-term energy use projections. Researchers conducted an analysis of several technology options that have potential to improve heavy truck fuel economy and emissions characteristics. The technologies are grouped as fuel-economy-enhancing and emissions-improving. Each technology's potential impact on heavy truck fuel economy has been estimated, as has the cost of implementation. The extent of technology penetration is estimated on the basis of truck data analyses and technical judgment.

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

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

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

  15. Manufacturing Consumption of Energy 1994

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

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

  16. 1999 Commercial Buildings Energy Consumption Survey Detailed Tables

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

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

  17. Results from Tight and Loose Coupled Multiphysics in Nuclear Fuels Performance Simulations using BISON

    SciTech Connect (OSTI)

    S. R. Novascone; B. W. Spencer; D. Andrs; R. L. Williamson; J. D. Hales; D. M. Perez

    2013-05-01

    The behavior of nuclear fuel in the reactor environment is affected by multiple physics, most notably heat conduction and solid mechanics, which can have a strong influence on each other. To provide credible solutions, a fuel performance simulation code must have the ability to obtain solutions for each of the physics, including coupling between them. Solution strategies for solving systems of coupled equations can be categorized as loosely-coupled, where the individual physics are solved separately, keeping the solutions for the other physics fixed at each iteration, or tightly coupled, where the nonlinear solver simultaneously drives down the residual for each physics, taking into account the coupling between the physics in each nonlinear iteration. In this paper, we compare the performance of loosely and tightly coupled solution algorithms for thermomechanical problems involving coupled thermal and mechanical contact, which is a primary source of interdependence between thermal and mechanical solutions in fuel performance models. The results indicate that loosely-coupled simulations require significantly more nonlinear iterations, and may lead to convergence trouble when the thermal conductivity of the gap is too small. We also apply the tightly coupled solution strategy to a nuclear fuel simulation of an experiment in a test reactor. Studying the results from these simulations indicates that perhaps convergence for either approach may be problem dependent, i.e., there may be problems for which a loose coupled approach converges, where tightly coupled wont converge and vice versa.

  18. Zero Emission Bay Area (ZEBA) Fuel Cell Bus Demonstration: Second Results Report

    SciTech Connect (OSTI)

    Eudy, L.; Chandler, K.

    2012-07-01

    This report presents results of a demonstration of 12 new fuel cell electric buses (FCEB) operating in Oakland, California. The 12 FCEBs operate as a part of the Zero Emission Bay Area (ZEBA) Demonstration, which also includes two new hydrogen fueling stations. This effort is the largest FCEB demonstration in the United States and involves five participating transit agencies. The ZEBA partners are collaborating with the U.S. Department of Energy (DOE) and DOE's National Renewable Energy Laboratory (NREL) to evaluate the buses in revenue service. The first results report was published in August 2011, describing operation of these new FCEBs from September 2010 through May 2011. New results in this report provide an update through April 2012.

  19. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    AFVs and HEVs All Categories Fuels & Infrastructure Fuel Trends Emissions Alternative Fueling Stations Idle Reduction Transportation Infrastructure Biofuels Production Clean Cities Petroleum Use Reduction Vehicles Program Vehicles AFVs and HEVs Fuel Consumption and Efficiency Vehicle Market Driving Patterns Laws & Incentives Regulated Fleets State & Alt Fuel Providers Federal Fleets OR Go Sort by: Category Most Recent Most Popular 20 results Generated_thumb20160830-4976-kgi9ks AFV

  20. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Emissions All Categories Fuels & Infrastructure Fuel Trends Emissions Alternative Fueling Stations Idle Reduction Transportation Infrastructure Biofuels Production Clean Cities Petroleum Use Reduction Vehicles Program Vehicles AFVs and HEVs Fuel Consumption and Efficiency Vehicle Market Driving Patterns Laws & Incentives Regulated Fleets State & Alt Fuel Providers Federal Fleets OR Go Sort by: Category Most Recent Most Popular 5 results Generated_thumb20130810-31804-53z5da Carbon

  1. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Trends All Categories Fuels & Infrastructure Fuel Trends Emissions Alternative Fueling Stations Idle Reduction Transportation Infrastructure Biofuels Production Clean Cities Petroleum Use Reduction Vehicles Program Vehicles AFVs and HEVs Fuel Consumption and Efficiency Vehicle Market Driving Patterns Laws & Incentives Regulated Fleets State & Alt Fuel Providers Federal Fleets OR Go Sort by: Category Most Recent Most Popular 14 results Generated_thumb20160914-24960-10gn0o4 Annual

  2. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Idle Reduction All Categories Fuels & Infrastructure Fuel Trends Emissions Alternative Fueling Stations Idle Reduction Transportation Infrastructure Biofuels Production Clean Cities Petroleum Use Reduction Vehicles Program Vehicles AFVs and HEVs Fuel Consumption and Efficiency Vehicle Market Driving Patterns Laws & Incentives Regulated Fleets State & Alt Fuel Providers Federal Fleets OR Go Sort by: Category Most Recent Most Popular 2 results Generated_thumb20150813-22546-19hiukh

  3. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Laws & Incentives All Categories Fuels & Infrastructure Fuel Trends Emissions Alternative Fueling Stations Idle Reduction Transportation Infrastructure Biofuels Production Clean Cities Petroleum Use Reduction Vehicles Program Vehicles AFVs and HEVs Fuel Consumption and Efficiency Vehicle Market Driving Patterns Laws & Incentives Regulated Fleets State & Alt Fuel Providers Federal Fleets OR Go Sort by: Category Most Recent Most Popular 10 results - Biodiesel_li_by_state Biodiesel

  4. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Transportation Infrastructure All Categories Fuels & Infrastructure Fuel Trends Emissions Alternative Fueling Stations Idle Reduction Transportation Infrastructure Biofuels Production Clean Cities Petroleum Use Reduction Vehicles Program Vehicles AFVs and HEVs Fuel Consumption and Efficiency Vehicle Market Driving Patterns Laws & Incentives Regulated Fleets State & Alt Fuel Providers Federal Fleets OR Go Sort by: Category Most Recent Most Popular 5 results Freight_tons_thumbnail

  5. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Vehicle Market All Categories Fuels & Infrastructure Fuel Trends Emissions Alternative Fueling Stations Idle Reduction Transportation Infrastructure Biofuels Production Clean Cities Petroleum Use Reduction Vehicles Program Vehicles AFVs and HEVs Fuel Consumption and Efficiency Vehicle Market Driving Patterns Laws & Incentives Regulated Fleets State & Alt Fuel Providers Federal Fleets OR Go Sort by: Category Most Recent Most Popular 7 results Generated_thumb20160404-15442-1rr9crl AFV

  6. High Temperature Reactor (HTR) Deep Burn Core and Fuel Analysis: Design Selection for the Prismatic Block Reactor With Results from FY-2011 Activities

    SciTech Connect (OSTI)

    Michael A. Pope

    2011-10-01

    The Deep Burn (DB) Project is a U.S. Department of Energy sponsored feasibility study of Transuranic Management using high burnup fuel in the high temperature helium cooled reactor (HTR). The DB Project consists of seven tasks: project management, core and fuel analysis, spent fuel management, fuel cycle integration, TRU fuel modeling, TRU fuel qualification, and HTR fuel recycle. In the Phase II of the Project, we conducted nuclear analysis of TRU destruction/utilization in the HTR prismatic block design (Task 2.1), deep burn fuel/TRISO microanalysis (Task 2.3), and synergy with fast reactors (Task 4.2). The Task 2.1 covers the core physics design, thermo-hydraulic CFD analysis, and the thermofluid and safety analysis (low pressure conduction cooling, LPCC) of the HTR prismatic block design. The Task 2.3 covers the analysis of the structural behavior of TRISO fuel containing TRU at very high burnup level, i.e. exceeding 50% of FIMA. The Task 4.2 includes the self-cleaning HTR based on recycle of HTR-generated TRU in the same HTR. Chapter IV contains the design and analysis results of the 600MWth DB-HTR core physics with the cycle length, the average discharged burnup, heavy metal and plutonium consumptions, radial and axial power distributions, temperature reactivity coefficients. Also, it contains the analysis results of the 450MWth DB-HTR core physics and the analysis of the decay heat of a TRU loaded DB-HTR core. The evaluation of the hot spot fuel temperature of the fuel block in the DB-HTR (Deep-Burn High Temperature Reactor) core under full operating power conditions are described in Chapter V. The investigated designs are the 600MWth and 460MWth DB-HTRs. In Chapter VI, the thermo-fluid and safety of the 600MWth DB-HTRs has been analyzed to investigate a thermal-fluid design performance at the steady state and a passive safety performance during an LPCC event. Chapter VII describes the analysis results of the TRISO fuel microanalysis of the 600MWth and 450

  7. Santa Clara Valley Transportation Authority and San Mateo County Transit District-- Fuel Cell Transit Buses: Evaluation Results

    Broader source: Energy.gov [DOE]

    This report provides evaluation results for prototype fuel cell transit buses operating at Santa Clara Valley Transportation Authority in San Jose, California.

  8. Santa Clara Valley Transportation Authority and San Mateo County Transit District -- Fuel Cell Transit Buses: Evaluation Results

    SciTech Connect (OSTI)

    Chandler, K.; Eudy, L.

    2006-11-01

    This report provides evaluation results for prototype fuel cell transit buses operating at Santa Clara Valley Transportation Authority in San Jose, California.

  9. Santa Clara Valley Transportation Authority and San Mateo County Transit District; Fuel Cell Transit Buses: Preliminary Evaluation Results

    SciTech Connect (OSTI)

    Eudy, L.; Chandler, K.

    2006-03-01

    Report provides preliminary results from an evaluation of prototype fuel cell transit buses operating at Santa Clara Valley Transportation Authority (VTA) in San Jose, California.

  10. Zero Emission Bay Area (ZEBA) Fuel Cell Bus Demonstration Results: Third Report

    SciTech Connect (OSTI)

    Eudy, L.; Post, M.

    2014-05-01

    This report presents results of a demonstration of 12 fuel cell electric buses (FCEB) operating in Oakland, California. The 12 FCEBs operate as a part of the Zero Emission Bay Area (ZEBA) Demonstration, which also includes two new hydrogen fueling stations. This effort is the largest FCEB demonstration in the United States and involves five participating transit agencies. The ZEBA partners are collaborating with the U.S. Department of Energy (DOE) and DOE's National Renewable Energy Laboratory (NREL) to evaluate the buses in revenue service. NREL has published two previous reports, in August 2011 and July 2012, describing operation of these buses. New results in this report provide an update covering eight months through October 2013.

  11. fuel

    National Nuclear Security Administration (NNSA)

    4%2A en Cheaper catalyst may lower fuel costs for hydrogen-powered cars http:www.nnsa.energy.govblogcheaper-catalyst-may-lower-fuel-costs-hydrogen-powered-cars

  12. fuel

    National Nuclear Security Administration (NNSA)

    4%2A en Cheaper catalyst may lower fuel costs for hydrogen-powered cars http:nnsa.energy.govblogcheaper-catalyst-may-lower-fuel-costs-hydrogen-powered-cars

  13. Fuels

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

    Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing ... Heavy Duty Fuels DISI Combustion HCCISCCI Fundamentals Spray Combustion Modeling ...

  14. EPAct Alternative Fuel Transportation Program: State and Alternative Fuel Provider Fleet Compliance Annual Report, Fleet Compliance Results for MY 2009/FY 2010 (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2010-12-01

    This annual report summarizes the compliance results of state and alternative fuel provider fleets covered by the Energy Policy Act of 1992 (EPAct) for model year 2009/fiscal year 2010.

  15. Used Nuclear Fuel Loading and Structural Performance Under Normal Conditions of Transport – Demonstration of Approach and Results of Used Fuel Performance Characterization

    Broader source: Energy.gov [DOE]

    This report provides results of the initial demonstration of the modeling capability developed to perform preliminary deterministic evaluations of moderate-to-high burnup used nuclear fuel (UNF) mechanical performance under normal conditions of storage (NCS) and transport (NCT).

  16. Surrogate/spent fuel sabotage aerosol ratio testing:phase 1 summary and results.

    SciTech Connect (OSTI)

    Vigil, Manuel Gilbert; Sorenson, Ken Bryce; Lange, F. , Germany); Nolte, O. (Fraunhofer Institut fur Toxikologie und Experimentelle Medizin, Germany); Koch, W. (Fraunhofer Institut fur Toxikologie und Experimentelle Medizin, Germany); Dickey, Roy R.; Yoshimura, Richard Hiroyuki; Molecke, Martin Alan; Autrusson, Bruno (Institut de Radioprotection et de Surete Nucleaire , France); Young, F. I.; Pretzsch, Gunter Guido (Gesellschaft fur Anlagen- und reaktorsicherheit , Germany)

    2005-10-01

    This multinational test program is quantifying the aerosol particulates produced when a high energy density device (HEDD) impacts surrogate material and actual spent fuel test rodlets. The experimental work, performed in four consecutive test phases, has been in progress for several years. The overall program provides needed data that are relevant to some sabotage scenarios in relation to spent fuel transport and storage casks, and associated risk assessments. This program also provides significant political benefits in international cooperation for nuclear security related evaluations. The spent fuel sabotage--aerosol test program is coordinated with the international Working Group for Sabotage Concerns of Transport and Storage Casks (WGSTSC), and supported by both the U.S. Department of Energy and Nuclear Regulatory Commission. This report summarizes the preliminary, Phase 1 work performed in 2001 and 2002 at Sandia National Laboratories and the Fraunhofer Institute, Germany, and documents the experimental results obtained, observations, and preliminary interpretations. Phase 1 testing included: performance quantifications of the HEDD devices; characterization of the HEDD or conical shaped charge (CSC) jet properties with multiple tests; refinement of the aerosol particle collection apparatus being used; and, CSC jet-aerosol tests using leaded glass plates and glass pellets, serving as representative brittle materials. Phase 1 testing was quite important for the design and performance of the following Phase 2 test program and test apparatus.

  17. Table 8.6a Estimated Consumption of Combustible Fuels for Useful Thermal Output at Combined-Heat-and-Power Plants: Total (All Sectors), 1989-2011 (Sum of Tables 8.6b and 8.6c)

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

    a Estimated Consumption of Combustible Fuels for Useful Thermal Output at Combined-Heat-and-Power Plants: Total (All Sectors), 1989-2011 (Sum of Tables 8.6b and 8.6c) Year Coal 1 Petroleum Natural Gas 6 Other Gases 7 Biomass Other 10 Distillate Fuel Oil 2 Residual Fuel Oil 3 Other Liquids 4 Petroleum Coke 5 Total 5 Wood 8 Waste 9 Short Tons Barrels Short Tons Barrels Thousand Cubic Feet Billion Btu Billion Btu Billion Btu 1989 16,509,639 1,410,151 16,356,550 353,000 247,409 19,356,746

  18. Table 8.6b Estimated Consumption of Combustible Fuels for Useful Thermal Output at Combined-Heat-and-Power Plants: Electric Power Sector, 1989-2011 (Subset of Table 8.6a)

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

    b Estimated Consumption of Combustible Fuels for Useful Thermal Output at Combined-Heat-and-Power Plants: Electric Power Sector, 1989-2011 (Subset of Table 8.6a) Year Coal 1 Petroleum Natural Gas 6 Other Gases 7 Biomass Other 10 Distillate Fuel Oil 2 Residual Fuel Oil 3 Other Liquids 4 Petroleum Coke 5 Total 5 Wood 8 Waste 9 Short Tons Barrels Short Tons Barrels Thousand Cubic Feet Billion Btu Billion Btu Billion Btu 1989 638,798 119,640 1,471,031 762 – 1,591,433 81,669,945 2,804 24,182 5,687

  19. Table 8.6c Estimated Consumption of Combustible Fuels for Useful Thermal Output at Combined-Heat-and-Power Plants: Commercial and Industrial Sectors, 1989-2011 (Subset of Table 8.6a)

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

    c Estimated Consumption of Combustible Fuels for Useful Thermal Output at Combined-Heat-and-Power Plants: Commercial and Industrial Sectors, 1989-2011 (Subset of Table 8.6a) Year Coal 1 Petroleum Natural Gas 6 Other Gases 7 Biomass Other 10 Distillate Fuel Oil 2 Residual Fuel Oil 3 Other Liquids 4 Petroleum Coke 5 Total 5 Wood 8 Waste 9 Short Tons Barrels Short Tons Barrels Thousand Cubic Feet Billion Btu Billion Btu Billion Btu Commercial Sector 11<//td> 1989 711,212 202,091 600,653 – –

  20. Survey Consumption

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

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

  1. China: Emissions pattern of the world leader in CO2 emissions from fossil fuel consumption and cement production

    SciTech Connect (OSTI)

    Gregg, J; Andres, Robert Joseph; Marland, Gregg

    2008-01-01

    Release of carbon dioxide (CO2) from fossil fuel combustion and cement manufacture is the primary anthropogenic driver of climate change. Our best estimate is that China became the largest national source of CO2 emissions during 2006. Previously, the United States (US) had occupied that position. However, the annual emission rate in the US has remained relatively stable between 2001-2006 while the emission rate in China has more than doubled, apparently eclipsing that of the US in late 2006. Here we present the seasonal and spatial pattern of CO2 emissions in China, as well as the sectoral breakdown of emissions. Though our best point estimate places China in the lead position in terms of CO2 emissions, we qualify this statement in a discussion of the uncertainty in the underlying data (3-5% for the US; 15-20% for China). Finally, we comment briefly on the implications of China's new position with respect to international agreements to mitigate climate change.

  2. Alameda-Contra Costa Transit District (AC Transit) Fuel Cell Transit Buses: Preliminary Evaluation Results

    Broader source: Energy.gov [DOE]

    This report provides an evaluation of three prototype fuel cell-powered transit buses operating at AC Transit in Oakland, California, and six baseline diesel buses similar in design to the fuel cell buses.

  3. Alameda-Contra Costa Transit District (AC Transit) Fuel Cell Transit Buses: Preliminary Evaluation Results

    SciTech Connect (OSTI)

    Chandler, K.; Eudy, L.

    2007-03-01

    This report provides an evaluation of three prototype fuel cell-powered transit buses operating at AC Transit in Oakland, California, and six baseline diesel buses similar in design to the fuel cell buses.

  4. First Results of Scanning Thermal Diffusivity Microscope (STDM) Measurements on Irradiated Monolithic and Dispersion Fuel

    SciTech Connect (OSTI)

    T. K. Huber; M. K. Figg; J. R. Kennedy; A. B. Robinson; D. M. Wachs

    2012-07-01

    The thermal conductivity of the fuel material in a reactor before and during irradiation is a sensitive and fundamental parameter for thermal hydraulic calculations that are useds to correctly determine fuel heat fluxes and meat temperatures and to simulate performance of the fuel elements during operation. Several techniques have been developed to measure the thermal properties of fresh fuel to support these calculations, but it is crucial to also investigate the change of thermal properties during irradiation.

  5. Fuel Cell Vehicle and Infrastructure Learning Demonstration Status and Results (Presentation)

    SciTech Connect (OSTI)

    Wipke, K.; Sprik, S.; Kurtz, J.; Ramsden, T.; Garbak, J.

    2008-10-13

    Presentation on the Fuel Cell Vehicle and Infrastructure Learning Demonstration project prepared for the 215th Electrochemical Society Meeting.

  6. Characterization of Bond Strength of U-Mo Fuel Plates Using the Laser Shockwave Technique: Capabilities and Preliminary Results

    SciTech Connect (OSTI)

    J. A. Smith; D. L. Cottle; B. H. Rabin

    2013-09-01

    This report summarizes work conducted to-date on the implementation of new laser-based capabilities for characterization of bond strength in nuclear fuel plates, and presents preliminary results obtained from fresh fuel studies on as-fabricated monolithic fuel consisting of uranium-10 wt.% molybdenum alloys clad in 6061 aluminum by hot isostatic pressing. Characterization involves application of two complementary experimental methods, laser-shock testing and laser-ultrasonic imaging, collectively referred to as the Laser Shockwave Technique (LST), that allows the integrity, physical properties and interfacial bond strength in fuel plates to be evaluated. Example characterization results are provided, including measurement of layer thicknesses, elastic properties of the constituents, and the location and nature of generated debonds (including kissing bonds). LST provides spatially localized, non-contacting measurements with minimum specimen preparation, and is ideally suited for applications involving radioactive materials, including irradiated materials. The theoretical principles and experimental approaches employed in characterizing nuclear fuel plates are described, and preliminary bond strength measurement results are discussed, with emphasis on demonstrating the capabilities and limitations of these methods. These preliminary results demonstrate the ability to distinguish bond strength variations between different fuel plates. Although additional development work is necessary to validate and qualify the test methods, these results suggest LST is viable as a method to meet fuel qualification requirements to demonstrate acceptable bonding integrity.

  7. Used Nuclear Fuel Loading and Structural Performance Under Normal Conditions of Transport- Demonstration of Approach and Results on Used Fuel Performance Characterization

    SciTech Connect (OSTI)

    Adkins, Harold; Geelhood, Ken; Koeppel, Brian; Coleman, Justin; Bignell, John; Flores, Gregg; Wang, Jy-An; Sanborn, Scott; Spears, Robert; Klymyshyn, Nick

    2013-09-30

    This document addresses Oak Ridge National Laboratory milestone M2FT-13OR0822015 Demonstration of Approach and Results on Used Nuclear Fuel Performance Characterization. This report provides results of the initial demonstration of the modeling capability developed to perform preliminary deterministic evaluations of moderate-to-high burnup used nuclear fuel (UNF) mechanical performance under normal conditions of storage (NCS) and normal conditions of transport (NCT) conditions. This report also provides results from the sensitivity studies that have been performed. Finally, discussion on the long-term goals and objectives of this initiative are provided.

  8. SRS 2010 Vegetation Inventory GeoStatistical Mapping Results for Custom Reaction Intensity and Total Dead Fuels.

    SciTech Connect (OSTI)

    Edwards, Lloyd A.; Paresol, Bernard

    2014-09-01

    This report of the geostatistical analysis results of the fire fuels response variables, custom reaction intensity and total dead fuels is but a part of an SRS 2010 vegetation inventory project. For detailed description of project, theory and background including sample design, methods, and results please refer to USDA Forest Service Savannah River Site internal report “SRS 2010 Vegetation Inventory GeoStatistical Mapping Report”, (Edwards & Parresol 2013).

  9. Promising Fuel Cycle Options for R&D - Results, Insights, and...

    Office of Scientific and Technical Information (OSTI)

    Development Program conducted a detailed evaluation and screening of nuclear fuel cycles. ... Resource Relation: Conference: International Congress on Advances in Nuclear Power Plants ...

  10. Survey Results and Analysis of the Cost and Efficiency of Various Operating Hydrogen Fueling Stations

    SciTech Connect (OSTI)

    Cornish, John

    2011-03-05

    Existing Hydrogen Fueling Stations were surveyed to determine capital and operational costs. Recommendations for cost reduction in future stations and for research were developed.

  11. Alternative Fuel Transit Buses: DART's (Dallas Area Rapid Transit) LNG Bus Fleet Final Results

    SciTech Connect (OSTI)

    Chandler, K.; Norton, P.; Clark, N.

    2000-11-07

    In 1998, Dallas Area Rapid Transit, a public transit agency in Dallas, Texas, began operating a large fleet of heavy-duty buses powered by liquefied natural gas. As part of a $16 million commitment to alternative fuels, DART operates 139 LNG buses serviced by two new LNG fueling stations.

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

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

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

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

    Office of Scientific and Technical Information (OSTI)

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

  14. CBECS 1992 - Consumption & Expenditures, Detailed Tables

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

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

  15. Plug-in Hybrid Electric Vehicle Fuel Use Reporting Methods and Results

    SciTech Connect (OSTI)

    James E. Francfort

    2009-07-01

    The Plug-in Hybrid Electric Vehicle (PHEV) Fuel Use Reporting Methods and Results report provides real world test results from PHEV operations and testing in 20 United States and Canada. Examples are given that demonstrate the significant variations operational parameters can have on PHEV petroleum use. In addition to other influences, PHEV mpg results are significantly impacted by driver aggressiveness, cold temperatures, and whether or not the vehicle operator has charged the PHEV battery pack. The U.S. Department of Energys (DOEs) Advanced Vehicle Testing Activity (AVTA) has been testing plug-in hybrid electric vehicles (PHEVs) for several years. The AVTA http://avt.inl.gov/), which is part of DOEs Vehicle Technology Program, also tests other advanced technology vehicles, with 12 million miles of total test vehicle and data collection experience. The Idaho National Laboratory is responsible for conducting the light-duty vehicle testing of PHEVs. Electric Transportation Engineering Corporation also supports the AVTA by conducting PHEV and other types of testing. To date, 12 different PHEV models have been tested, with more than 600,000 miles of PHEV operations data collected.

  16. Electrolytic Reduction of Spent Oxide Fuel – Bench-Scale Test Results

    SciTech Connect (OSTI)

    S. D. Herrmann; S. X. Li; M. F. Simpson

    2005-10-01

    A series of tests were performed to demonstrate the electrolytic reduction of spent light water reactor fuel at bench-scale in a hot cell at the Idaho National Laboratory Materials and Fuels Complex (formerly Argonne National Laboratory - West). The process involves the conversion of oxide fuel to metal by electrolytic means, which would then enable subsequent separation and recovery of actinides via existing electrometallurgical technologies, i.e., electrorefining. Four electrolytic reduction runs were performed at bench scale using ~500 ml of molten LiCl -- 1 wt% Li2O electrolyte at 650 ºC. In each run, ~50 g of crushed spent oxide fuel was loaded into a permeable stainless steel basket and immersed into the electrolyte as the cathode. A spiral wound platinum wire was immersed into the electrolyte as the anode. When a controlled electric current was conducted through the anode and cathode, the oxide fuel was reduced to metal in the basket and oxygen gas was evolved at the anode. Salt samples were extracted before and after each electrolytic reduction run and analyzed for fuel and fission product constituents. The fuel baskets following each run were sectioned and sampled, revealing an extent of uranium oxide reduction in excess of 98%.

  17. Natural Gas Lease Fuel Consumption

    Gasoline and Diesel Fuel Update (EIA)

    through 1996) in Alabama (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 3,434 3,514 3,395 2,369 1,720 1,215 1,673 1,117 1,189 1,382 1,955 3,507 1990 4,550 3,040 2,645 2,167 1,626 984 1,157 1,164 1,195 1,353 1,921 2,487 1991 3,334 3,576 2,761 1,886 1,332 1,149 1,128 1,052 1,093 1,311 2,120 2,968 1992 3,739 3,833 2,671 2,287 1,513 1,225 1,108 1,078 1,136 1,320 1,983 3,338 1993 3,532 3,599 3,655 2,569 1,551 1,179 1,084 1,070 1,111 1,259 2,073 3,041 1994 4,325

  18. Natural Gas Plant Fuel Consumption

    Gasoline and Diesel Fuel Update (EIA)

    362,009 368,830 384,248 408,316 414,796 425,238 1983-2014 Alabama 6,470 6,441 6,939 6,616 6,804 6,462 1983-2014 Alaska 39,447 37,316 35,339 37,397 36,638 36,707 1983-2014 Arkansas 489 529 423 622 797 871 1983-2014 California 2,611 2,370 2,253 2,417 2,834 2,361 1983-2014 Colorado 21,288 25,090 28,265 29,383 25,806 30,873 1983-2014 Florida 0 0 0 0 0 272 1983-2014 Gulf of Mexico 0 2014-2014 Illinois 41 4,559 4,917 4,896 4,917 288 1983-2014 Kansas 2,126 2,102 2,246 2,268 2,189 1,983 1983-2014

  19. UPS CNG Truck Fleet Final Results: Alternative Fuel Truck Evaluation Project (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2002-08-01

    This report provides transportation professionals with quantitative, unbiased information on the cost, maintenance, operational and emissions characteristics of CNG as one alternative to conventional diesel fuel for heavy-duty trucking applications.

  20. Solution High-Energy Burst Assembly (SHEBA) results from subprompt critical experiments with uranyl fluoride fuel

    SciTech Connect (OSTI)

    Cappiello, C.C.; Butterfield, K.B.; Sanchez, R.G.; Bounds, J.A.; Kimpland, R.H.; Damjanovich, R.P.; Jaegers, P.J.

    1997-08-01

    Experiments were performed to measure a variety of parameters for SHEBA: behavior of the facility during transient and steady-state operation; characteristics of the SHEBA fuel; delayed-critical solution height vs solution temperature; initial reactor period and reactivity vs solution height; calibration of power level vs reactor power instrumentation readings; flux profile in SHEBA; radiation levels and neutron spectra outside the assembly for code verification and criticality alarm and dosimetry purposes; and effect on reactivity of voids in the fuel.

  1. Spent nuclear fuel project, Cold Vacuum Drying Facility human factors engineering (HFE) analysis: Results and findings

    SciTech Connect (OSTI)

    Garvin, L.J.

    1998-07-17

    This report presents the background, methodology, and findings of a human factors engineering (HFE) analysis performed in May, 1998, of the Spent Nuclear Fuels (SNF) Project Cold Vacuum Drying Facility (CVDF), to support its Preliminary Safety Analysis Report (PSAR), in responding to the requirements of Department of Energy (DOE) Order 5480.23 (DOE 1992a) and drafted to DOE-STD-3009-94 format. This HFE analysis focused on general environment, physical and computer workstations, and handling devices involved in or directly supporting the technical operations of the facility. This report makes no attempt to interpret or evaluate the safety significance of the HFE analysis findings. The HFE findings presented in this report, along with the results of the CVDF PSAR Chapter 3, Hazards and Accident Analyses, provide the technical basis for preparing the CVDF PSAR Chapter 13, Human Factors Engineering, including interpretation and disposition of findings. The findings presented in this report allow the PSAR Chapter 13 to fully respond to HFE requirements established in DOE Order 5480.23. DOE 5480.23, Nuclear Safety Analysis Reports, Section 8b(3)(n) and Attachment 1, Section-M, require that HFE be analyzed in the PSAR for the adequacy of the current design and planned construction for internal and external communications, operational aids, instrumentation and controls, environmental factors such as heat, light, and noise and that an assessment of human performance under abnormal and emergency conditions be performed (DOE 1992a).

  2. Development of Radio Frequency Diesel Particulate Filter Sensor and Controls for Advanced Low-Pressure Drop Systems to Reduce Engine Fuel Consumption

    Office of Energy Efficiency and Renewable Energy (EERE)

    2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

  3. Fleet Compliance Results for MY 2010/FY 2011, EPAct Alternative Fuel Transportation Program: State and Alternative Fuel Provider Fleet Compliance Annual Report (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2012-03-01

    This annual report summarizes the compliance results of state and alternative fuel provider fleets covered by the Energy Policy Act of 1992 (EPAct) for model year 2010/fiscal year 2011. The U.S. Department of Energy (DOE) regulates covered state and alternative fuel provider (SFP) fleets under the Energy Policy Act of 1992 (EPAct), as amended. For model year (MY) 2010, the compliance rate for the 2911 covered SFP fleets was 100%. Fleets used either Standard Compliance or Alternative Compliance. The 279 fleets that used Standard Compliance exceeded their aggregate MY 2010 acquisition requirements by 61%. The 12 covered fleets that complied using Alternative Compliance exceeded their aggregate MY 2010 petroleum-use-reduction requirements by 89%. Overall, DOE saw modest decreases from MY 2009 in biodiesel fuel use credits earned and in the number of light-duty vehicles (LDVs) acquired. Compared to years before MY 2009, these rates were far lower. Because covered fleets acquired fewer new vehicles overall in MY 2010, the requirement for alternative fuel vehicles (AFVs), which is proportional to new acquisitions, also dropped.

  4. Results of emissions testing while burning densified refuse derived fuel, Dordt College, Sioux Center, Iowa

    SciTech Connect (OSTI)

    Not Available

    1989-10-01

    Pacific Environmental Services, Inc. provided engineering and source testing services to the Council of Great Lake Governors to support their efforts in promoting the development and utilization of densified refuse derived fuels (d-RDF) and pelletized wastepaper fuels in small steam generating facilities. The emissions monitoring program was designed to provide a complete air emissions profile while burning various refuse derived fuels. The specific goal of this test program was to conduct air emissions tests at Dordt College located in Sioux Center, Iowa and to identify a relationship between fuel types and emission characteristics. The sampling protocol was carried out June 12 through June 20, 1989 on boiler {number sign}4. This unit had been previously modified to burn d-RDF. The boiler was not equipped with any type of air pollution control device so the emissions samples were collected from the boiler exhaust stack on the roof of the boilerhouse. The emissions that were sampled included: particulates; PM{sub 10} particulates; hydrochloric acid; dioxins; furans; polychlorinated biphenyls (PCB); metals and continuous monitors for CO, CO{sub 2}O{sub 2}SO{sub x}NO{sub x} and total hydrocarbons. Grab samples of the fuels were collected, composited and analyzed for heating value, moisture content, proximate and ultimate analysis, ash fusion temperature, bulk density and elemental ash analysis. Grab samples of the boiler ash were also collected and analyzed for total hydrocarbons total dioxins, total furans, total PCBs and heavy metals. 77 figs., 20 tabs.

  5. Technical Approach and Results from the Fuels Pathway on an Alternative Selection Case Study

    SciTech Connect (OSTI)

    Bob Youngblood; Curtis Smith

    2013-09-01

    The report presents a detailed plan for conducting case studies to characterize probabilistic safety margins associated with different fuel cladding types in a way that supports a valid comparison of different fuels' performance. Recent work performed in other programs is described briefly and used to illustrate the challenges posed by characterization of margin in a probabilistic way. It is additionally pointed out that consistency of evaluation of performance across different cladding types is not easy to assure; a process for achieving the needed consistency is described.

  6. Search results | Department of Energy

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

    (2) Water (2) Alternative Fuel Vehicles (1) Biofuels (1) Clean Cities (1) Consumption (1) Energy Economy (1) Environmental Cleanup (1) Environmental Science (1) Fuel Economy (1)...

  7. Search results | Department of Energy

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

    (2) Water (2) Alternative Fuel Vehicles (1) Biofuels (1) Clean Cities (1) Consumption (1) Energy Economy (1) Environmental Science (1) Fuel Economy (1) Homes (1) Hydrogen (1)...

  8. Vehicle Technologies Office Merit Review 2015: Development of Radio Frequency Diesel Particulate Filter Sensor and Controls for Advanced Low-Pressure Drop Systems to Reduce Engine Fuel Consumption

    Broader source: Energy.gov [DOE]

    Presentation given by Filter Sensing Technologies, Inc. at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about development...

  9. Vehicle Technologies Office Merit Review 2014: Development of Radio Frequency Diesel Particulate Filter Sensor and Controls for Advanced Low-Pressure Drop Systems to Reduce Engine Fuel Consumption

    Office of Energy Efficiency and Renewable Energy (EERE)

    Presentation given by Filter Sensing Technologies, Inc. at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about development...

  10. AGR-1 Fuel Compact 6-3-2 Post-Irradiation Examination Results

    SciTech Connect (OSTI)

    Paul demkowicz; jason Harp; Scott Ploger

    2012-12-01

    Destructive post-irradiation examination was performed on fuel Compact 6-3-2, which was irradiated in the AGR-1 experiment to a final compact average burnup of 11.3% FIMA and a time-average, volume-average temperature of 1070°C. The analysis of this compact was focused on characterizing the extent of fission product release from the particles and examining particles to determine the condition of the kernels and coating layers. The work included deconsolidation of the compact and leach-burn-leach analysis, visual inspection and gamma counting of individual particles, measurement of fuel burnup by several methods, metallurgical preparation of selected particles, and examination of particle cross-sections with optical microscopy. A single particle with a defective SiC layer was identified during deconsolidation-leach-burn-leach analysis, which is in agreement with previous measurements showing elevated cesium in the Capsule 6 graphite fuel holder associated with this fuel compact. The fraction of the compact europium inventory released from the particles and retained in the matrix was relatively high (approximately 6E-3), indicating release from intact particle coatings. The Ag-110m inventory in individual particles exhibited a very broad distribution, with some particles retaining =80% of the predicted inventory and others retaining less than 25%. The average degree of Ag-110m retention in 60 gamma counted particles was approximately 50%. This elevated silver release is in agreement with analysis of silver on the Capsule 6 components, which indicated an average release of 38% of the Capsule 6 inventory from the fuel compacts. In spite of the relatively high degree of silver release from the particles, virtually none of the Ag-110m released was found in the compact matrix, and presumably migrated out of the compact and was deposited on the irradiation capsule components. Release of all other fission products from the particles appears to be less than a single

  11. Results of studies on application of CCMHD to advanced fossil fuel power plant cycles

    SciTech Connect (OSTI)

    Foote, J.P.; Wu, Y.C.L.S.; Lineberry, J.T.

    1998-07-01

    A study was conducted to assess the potential for application of a Closed Cycle MHD disk generator (CCMHD) in advanced fossil fuel power generation systems. Cycle analyses were conducted for a variety of candidate power cycles, including simple cycle CCMHD (MHD); a cycle combining CCMHD and gas turbines (MHD/GT); and a triple combined cycle including CCMHD, gas turbines, and steam turbines (MHD/GT/ST). The above cycles were previously considered in cycle studies reported by Japanese researchers. Also considered was a CCMHD cycle incorporating thermochemical heat recovery through reforming of the fuel stream (MHD/REF), which is the first consideration of this approach. A gas turbine/steam turbine combined cycle (GT/ST) was also analyzed for baseline comparison. The only fuel considered in the study was CH4. Component heat and pressure losses were neglected, and the potential for NOx emission due to high combustion temperatures was not considered. Likewise, engineering limitations for cycle components, particularly the high temperature argon heater, were not considered. This approach was adopted to simplify the analysis for preliminary screening of candidate cycles. Cycle calculations were performed using in-house code. Ideal gas thermodynamic properties were calculated using the NASA SP- 273 data base, and thermodynamic properties for steam were calculated using the computerized ASME Steam Tables. High temperature equilibrium compositions for combustion gas were calculated using tabulated values of the equilibrium constants for the important reactions.

  12. Building biomass into the utility fuel mix at NYSEG: System conversion and testing results for Greenidge Station

    SciTech Connect (OSTI)

    Benjamin, W.

    1996-12-31

    NYSEG is in the second phase of developing resources and systems for cofiring biomass with coal. In the first phase, stoker boilers were fired with biomass (typically wood waste products). Encouraged by positive results at the older stokers, NYSEG decided to develop the process for its pulverized coal boilers beginning with Greenidge Station, a 108-MW pulverized coal (PC) unit with a General Electric turbine generator and a 665,000-lb Combustion Engineering, tangentially fired boiler. Greenidge Station is in the center of New York, surrounded by farms, forests, vineyards, and orchards. The test bums at Greenidge Station demonstrated that a parallel fuel feed system can effectively provide wood products to a PC unit. Emission results were promising but inconclusive. Additional testing, for longer durations, at varied loads and with different woods needs to be conducted to clarify and establish relationships between the percent wood fired at varying moisture contents. Loads need to be varied to develop continuous emission monitor emission data that can be compared to coal-only data. Economic analysis indicates that it will be beneficial to further refine the equipment and systems. Refinements may include chipping and drying equipment, plus installation of fuel storage and feed systems with permanent boiler penetration. NYSEG will attempt to identify the problems associated with cofiring by direct injection, compared to cofiring a biomass/coal mixture through the existing fuel handling system. Specifically, an examination will be made of fuel size criteria and the system modifications necessary for minimal impacts on coal-fired operation.

  13. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (EIA)

    F9: Residual Fuel Oil Consumption Estimates, 2014 State Commercial Industrial Transportation Electric Power Total Commercial Industrial Transportation Electric Power Total Thousand ...

  14. Zero Emission Bay Area (ZEBA) Fuel Cell Bus Demonstration: First Results Report

    SciTech Connect (OSTI)

    Chandler, K.; Eudy, L.

    2011-08-01

    This report documents the early implementation experience for the Zero Emission Bay Area (ZEBA) Demonstration, the largest fleet of fuel cell buses in the United States. The ZEBA Demonstration group includes five participating transit agencies: AC Transit (lead transit agency), Santa Clara Valley Transportation Authority (VTA), Golden Gate Transit (GGT), San Mateo County Transit District (SamTrans), and San Francisco Municipal Railway (Muni). The ZEBA partners are collaborating with the U.S. Department of Energy (DOE) and DOE's National Renewable Energy Laboratory (NREL) to evaluate the buses in revenue service.

  15. Natural gas cofiring in a refuse derived fuel incinerator: Results of a field evaluation. Topical report

    SciTech Connect (OSTI)

    Beshai, R.Z.; Hong, C.C.

    1993-10-01

    An evaluation of emissions reduction and improved operation of a municipal solid waste incinerator through natural gas cofiring is presented. A natural gas cofiring system was retrofitted on a refuse derived fuel combustor of the Columbis Solid Waste Reduction Facility in Columbus, Ohio. The field evaluation, conducted between July 6 and August 5, 1992, showed significant improvements in emissions and boiler operations. Carbon monoxide emissions were reduced from the baseline operations range of 530 to 1,950 parts per million to less than 50 ppm. Emissions of carbon dioxide, sulfur dioxide, hydrocarbons, and polychlorinated dibenzo-p-dioxins and furans were also reduced.

  16. EPAct Alternative Fuel Transportation Program: State and Alternative Fuel Provider Fleet Compliance Annual Report; Fleet Compliance Results for MY 2013/FY 2014

    SciTech Connect (OSTI)

    2015-09-01

    Compliance rates for covered state government and alternative fuel provider fleets under the Alternative Fuel Transportation Program (pursuant to the Energy Policy Act or EPAct) are reported for MY 2013/FY 2014 in this publication.

  17. Nondestructive determination of plutonium mass in spent fuel: prelliminary modeling results using the passive neutron Albedo reactivity technique

    SciTech Connect (OSTI)

    Evans, Louise G; Tobin, Stephen J; Schear, Melissa A; Menlove, Howard O; Lee, Sang Y; Swinhoe, Martyn T

    2009-01-01

    There are a variety of motivations for quantifying plutonium (Pu) in spent fuel assemblies by means of nondestructive assay (NDA) including the following: strengthening the capability of the International Atomic Energy Agency (LAEA) to safeguard nuclear facilities, quantifying shipper/receiver difference, determining the input accountability value at pyrochemical processing facilities, providing quantitative input to burnup credit and final safeguards measurements at a long-term repository. In order to determine Pu mass in spent fuel assemblies, thirteen NDA techniques were identified that provide information about the composition of an assembly. A key motivation of the present research is the realization that none of these techniques, in isolation, is capable of both (1) quantifying the Pu mass of an assembly and (2) detecting the diversion of a significant number of rods. It is therefore anticipated that a combination of techniques will be required. A 5 year effort funded by the Next Generation Safeguards Initiative (NGSI) of the U.S. DOE was recently started in pursuit of these goals. The first two years involves researching all thirteen techniques using Monte Carlo modeling while the final three years involves fabricating hardware and measuring spent fuel. Here, we present the work in two main parts: (1) an overview of this NGSI effort describing the motivations and approach being taken; (2) The preliminary results for one of the NDA techniques - Passive Neutron Albedo Reactivity (PNAR). The PNAR technique functions by using the intrinsic neutron emission of the fuel (primarily from the spontaneous fission of curium) to self-interrogate any fissile material present. Two separate measurements of the spent fuel are made, both with and without cadmium (Cd) present. The ratios of the Singles, Doubles and Triples count rates obtained in each case are analyzed; known as the Cd ratio. The primary differences between the two measurements are the neutron energy spectrum

  18. Preliminary results of post-irradiation examination of the AGR-1 TRISO fuel compacts

    SciTech Connect (OSTI)

    Paul Demkowicz; John Hunn; Robert Morris; Jason Harp; Philip Winston; Charles Baldwin; Fred Montgomery; Scott Ploger; Isabella van Rooyen

    2012-10-01

    Five irradiated fuel compacts from the AGR-1 experiment have been examined in detail in order to assess in-pile fission product release behavior. Compacts were electrolytically deconsolidated and analyzed using the leach-burn-leach technique to measure fission product inventory in the compact matrix and identify any particles with a defective SiC layer. Loose particles were then gamma counted to measure the fission product inventory. One particle with a defective SiC layer was found in the five compacts examined. The fractional release of Ag 110m from the particles was significant. The total fraction of silver released from all the particles within a compact ranged from 0-0.63 and individual particles within a single compact often exhibited a very wide range of silver release. The average fractional release of Eu-154 from all particles in a compact was 2.410-41.310-2, which is indicative of release through intact coatings. The fractional Cs-134 inventory in the compact matrix was <210-5 when all coatings remained intact, indicating good cesium retention. Approximately 1% of the palladium inventory was found in the compact matrix for two of the compacts, indicating significant release through intact coatings.

  19. Alternative fuel vehicles for the Federal fleet: Results of the 5-year planning process. Executive Order 12759, Section 11

    SciTech Connect (OSTI)

    Not Available

    1992-08-01

    This report describes five-year plans for acquisition of alternative fuel vehicles (AFVs) by the Federal agencies. These plans will be used to encourage Original Equipment Manufacturers (OEMs) to expand the variety of AFVs produced, reduce the incremental cost of AFVs, and to encourage fuel suppliers to expand the alternative fuel infrastructure and alternative fuel availability. This effort supplements and extends the demonstration and testing of AFVs established by the Department of Energy under the alternative Motor Fuels Act of 1988.

  20. Major Fuels","Electricity",,"Natural Gas","Fuel Oil","District

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

    . Total Energy Consumption by Major Fuel for Non-Mall Buildings, 2003" ,"All Buildings*",,"Total Energy Consumption (trillion Btu)" ,"Number of Buildings (thousand)","Floorspace...

  1. Major Fuels","Site Electricity","Natural Gas","Fuel Oil","District...

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

    C1. Total Energy Consumption by Major Fuel, 1999" ,"All Buildings",,"Total Energy Consumption (trillion Btu)",,,,,"Primary Electricity (trillion Btu)" ,"Number of Buildings...

  2. Buildings Working Group Meeting AEO2016 Preliminary Results

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

    Buildings Working Group Meeting Office of Energy Consumption and Efficiency Analysis February 18, 2016 | Washington, DC By Buildings Energy Analysis Team AEO2016 Preliminary Results Discussion purposes only - do not cite or circulate Overview * Key policies - Clean Power Plan - Federal standards and ENERGY STAR specifications * Sector drivers - Fuel prices - Weather - Commercial floorspace * Distributed generation * Residential and commercial consumption AEO2016 Buildings Working Group,

  3. New Methodology for Estimating Fuel Economy by Vehicle Class

    SciTech Connect (OSTI)

    Chin, Shih-Miao; Dabbs, Kathryn; Hwang, Ho-Ling

    2011-01-01

    Office of Highway Policy Information to develop a new methodology to generate annual estimates of average fuel efficiency and number of motor vehicles registered by vehicle class for Table VM-1 of the Highway Statistics annual publication. This paper describes the new methodology developed under this effort and compares the results of the existing manual method and the new systematic approach. The methodology developed under this study takes a two-step approach. First, the preliminary fuel efficiency rates are estimated based on vehicle stock models for different classes of vehicles. Then, a reconciliation model is used to adjust the initial fuel consumption rates from the vehicle stock models and match the VMT information for each vehicle class and the reported total fuel consumption. This reconciliation model utilizes a systematic approach that produces documentable and reproducible results. The basic framework utilizes a mathematical programming formulation to minimize the deviations between the fuel economy estimates published in the previous year s Highway Statistics and the results from the vehicle stock models, subject to the constraint that fuel consumptions for different vehicle classes must sum to the total fuel consumption estimate published in Table MF-21 of the current year Highway Statistics. The results generated from this new approach provide a smoother time series for the fuel economies by vehicle class. It also utilizes the most up-to-date and best available data with sound econometric models to generate MPG estimates by vehicle class.

  4. Plutonium Consumption Program, CANDU Reactor Project final report

    SciTech Connect (OSTI)

    Not Available

    1994-07-31

    DOE is investigating methods for long term dispositioning of weapons grade plutonium. One such method would be to utilize the plutonium in Mixed OXide (MOX) fuel assemblies in existing CANDU reactors. CANDU (Canadian Deuterium Uranium) reactors are designed, licensed, built, and supported by Atomic Energy of Canada Limited (AECL), and currently use natural uranium oxide as fuel. The MOX spent fuel assemblies removed from the reactor would be similar to the spent fuel currently produced using natural uranium fuel, thus rendering the plutonium as unattractive as that in the stockpiles of commercial spent fuel. This report presents the results of a study sponsored by the DOE for dispositioning the plutonium using CANDU technology. Ontario Hydro`s Bruce A was used as reference. The fuel design study defined the optimum parameters to disposition 50 tons of Pu in 25 years (or 100 tons). Two alternate fuel designs were studied. Safeguards, security, environment, safety, health, economics, etc. were considered. Options for complete destruction of the Pu were also studied briefly; CANDU has a superior ability for this. Alternative deployment options were explored and the potential impact on Pu dispositioning in the former Soviet Union was studied. An integrated system can be ready to begin Pu consumption in 4 years, with no changes required to the reactors other than for safe, secure storage of new fuel.

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

    Gasoline and Diesel Fuel Update (EIA)

    How does EIA estimate energy consumption and end uses in U.S. homes? RECS 2009 - Release date: ... ESS gathers data on how much electricity, natural gas, fuel oil, and propane were ...

  6. US MidAtl NY Site Consumption

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

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

  7. COMPARISON OF RESULTS FOR QUARTER 5 SURFACE WATER SPLIT SAMPLES COLLECTED AT THE NUCLEAR FUEL SERVICES SITE ERWIN TENNESSEE

    SciTech Connect (OSTI)

    2013-09-23

    Oak Ridge Associated Universities (ORAU), under the Oak Ridge Institute for Science and Education (ORISE) contract, collected split surface water samples with Nuclear Fuel Services (NFS) representatives on August 21, 2013. Representatives from the U.S. Nuclear Regulatory Commission (NRC) and the Tennessee Department of Environment and Conservation were also in attendance. Samples were collected at four surface water stations, as required in the approved Request for Technical Assistance number 11-018. These stations included Nolichucky River upstream (NRU), Nolichucky River downstream (NRD), Martin Creek upstream (MCU), and Martin Creek downstream (MCD). Both ORAU and NFS performed gross alpha and gross beta analyses, and the comparison of results using the duplicate error ratio (DER), also known as the normalized absolute difference, are tabulated. All DER values were less than 3 and results are consistent with low (e.g., background) concentrations.

  8. Summary of results from the Series 2 and Series 3 NNWSI [Nevada Nuclear Waste Storage Investigations] bare fuel dissolution tests

    SciTech Connect (OSTI)

    Wilson, C.N.

    1987-11-01

    The Nevada Nuclear Waste Storage Investigations (NNWSI) Project is studying dissolution and radionuclide release behavior of spent nuclear fuel in Nevada Test Site groundwater. Specimens were tested for multiple cycles in J-13 well water. The Series 2 tests were run in unsealed silica vessels under ambient hot cell air (25{sup 0}C) for five cycles for a total of 34 months. The Series 3 tests were run in sealed stainless steel vessels at 25{sup 0}C and 85{sup 0}C for three cycles for a total of 15 months. Selected summary results from Series 2 and Series 3 tests with bare fuel specimens are reported. Uranium concentrations in later test cycles ranged from 1 to 2 {mu}g/ml in the Series 2 Tests versus about 0.1 to 0.4 {mu}g/ml in Series 3 with the lowest concentrations occurring in the 85{sup 0}C tests. Preferential release of fission products Cs, I, Sr and Tc, and activation product C-14, was indicated relative to the actinides. Tc-99 and Cs-137 activities measured in solution after Cycle 1 increased linearly with time, with the rate of increase greater at 85{sup 0}C than at 25{sup 0}C. 8 refs., 8 figs., 3 tabs.

  9. Alternative Fuels Data Center

    SciTech Connect (OSTI)

    2013-06-01

    Fact sheet describes the Alternative Fuels Data Center, which provides information, data, and tools to help fleets and other transportation decision makers find ways to reduce petroleum consumption through the use of alternative and renewable fuels, advanced vehicles, and other fuel-saving measures.

  10. Alternatives to traditional transportation fuels 1993

    SciTech Connect (OSTI)

    Not Available

    1995-01-01

    In recent years, gasoline and diesel fuel have accounted for about 80 percent of total transportation fuel and nearly all of the fuel used in on-road vehicles. Growing concerns about the environmental effects of fossil fuel use and the Nation`s high level of dependence on foreign oil are providing impetus for the development of replacements or alternatives for these traditional transportation fuels. (The Energy Policy Act of 1992 definitions of {open_quotes}replacement{close_quotes} and {open_quotes}alternative{close_quotes} fuels are presented in the following box.) The Alternative Motor Fuels Act of 1988, the Clean Air Act Amendments of 1990 (CAAA90) and the Energy Policy Act of 1992 (EPACT) are significant legislative forces behind the growth of replacement fuel use. Alternatives to Traditional Transportation Fuels 1993 provides the number of on-road alternative fueled vehicles in use in the United States, alternative and replacement fuel consumption, and information on greenhouse gas emissions resulting from the production, delivery, and use of replacement fuels for 1992, 1993, and 1995.

  11. Compare All CBECS Activities: Fuel Oil Use

    Gasoline and Diesel Fuel Update (EIA)

    Fuel Oil Use Compare Activities by ... Fuel Oil Use Total Fuel Oil Consumption by Building Type Commercial buildings in the U.S. used a total of approximately 1.3 billion gallons...

  12. Optimally Controlled Flexible Fuel Powertrain System

    SciTech Connect (OSTI)

    Duncan Sheppard; Bruce Woodrow; Paul Kilmurray; Simon Thwaite

    2011-06-30

    A multi phase program was undertaken with the stated goal of using advanced design and development tools to create a unique combination of existing technologies to create a powertrain system specification that allowed minimal increase of volumetric fuel consumption when operating on E85 relative to gasoline. Although on an energy basis gasoline / ethanol blends typically return similar fuel economy to straight gasoline, because of its lower energy density (gasoline ~ 31.8MJ/l and ethanol ~ 21.1MJ/l) the volume based fuel economy of gasoline / ethanol blends are typically considerably worse. This project was able to define an initial engine specification envelope, develop specific hardware for the application, and test that hardware in both single and multi-cylinder test engines to verify the ability of the specified powertrain to deliver reduced E85 fuel consumption. Finally, the results from the engine testing were used in a vehicle drive cycle analysis tool to define a final vehicle level fuel economy result. During the course of the project, it was identified that the technologies utilized to improve fuel economy on E85 also enabled improved fuel economy when operating on gasoline. However, the E85 fueled powertrain provided improved vehicle performance when compared to the gasoline fueled powertrain due to the improved high load performance of the E85 fuel. Relative to the baseline comparator engine and considering current market fuels, the volumetric fuel consumption penalty when running on E85 with the fully optimized project powertrain specification was reduced significantly. This result shows that alternative fuels can be utilized in high percentages while maintaining or improving vehicle performance and with minimal or positive impact on total cost of ownership to the end consumer. The justification for this project was two-fold. In order to reduce the US dependence on crude oil, much of which is imported, the US Environmental Protection Agency (EPA

  13. Search results | Department of Energy

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

    y-electricity-consumption-and-efficiency Current search Search found 2 items Water Remove Water filter Consumption Remove Consumption filter Filter by Resource Type All Results (2)...

  14. Determining Plutonium Mass in Spent Fuel with Nondestructive Assay Techniques -- Preliminary Modeling Results Emphasizing Integration among Techniques

    SciTech Connect (OSTI)

    Tobin, S. J.; Fensin, M. L.; Ludewigt, B. A.; Menlove, H. O.; Quiter, B. J.; Sandoval, N. P.; Swinhoe, M. T.; Thompson, S. J.

    2009-08-03

    There are a variety of motivations for quantifying Pu in spent (used) fuel assemblies by means of nondestructive assay (NDA) including the following: strengthen the capabilities of the International Atomic Energy Agencies to safeguards nuclear facilities, quantifying shipper/receiver difference, determining the input accountability value at reprocessing facilities and providing quantitative input to burnup credit determination for repositories. For the purpose of determining the Pu mass in spent fuel assemblies, twelve NDA techniques were identified that provide information about the composition of an assembly. A key point motivating the present research path is the realization that none of these techniques, in isolation, is capable of both (1) quantifying the elemental Pu mass of an assembly and (2) detecting the diversion of a significant number of pins. As such, the focus of this work is determining how to best integrate 2 or 3 techniques into a system that can quantify elemental Pu and to assess how well this system can detect material diversion. Furthermore, it is important economically to down-select among the various techniques before advancing to the experimental phase. In order to achieve this dual goal of integration and down-selection, a Monte Carlo library of PWR assemblies was created and is described in another paper at Global 2009 (Fensin et al.). The research presented here emphasizes integration among techniques. An overview of a five year research plan starting in 2009 is given. Preliminary modeling results for the Monte Carlo assembly library are presented for 3 NDA techniques: Delayed Neutrons, Differential Die-Away, and Nuclear Resonance Fluorescence. As part of the focus on integration, the concept of"Pu isotopic correlation" is discussed and the role of cooling time determination.

  15. Fuel shortage: Grow your own

    SciTech Connect (OSTI)

    Thompson, E.; Hargrave, R.H.

    1981-05-01

    Wood power offers farmers a clean burning fuel with a tremendous potential for renewable energy. The development of a wood-gas tractor is outlined and fuel consumption estimated.

  16. COMPARISON OF RESULTS FOR QUARTER 4 SURFACE WATER SPLIT SAMPLES COLLECTED AT THE NUCLEAR FUELS SERVICES SITE, ERWIN, TN

    SciTech Connect (OSTI)

    none,

    2013-08-15

    Oak Ridge Associated Universities (ORAU), under the Oak Ridge Institute for Science and Education (ORISE) contract, collected split surface water samples with Nuclear Fuel Services (NFS) representatives on June 12, 2013. Representatives from the U.S. Nuclear Regulatory Commission (NRC) and the Tennessee Department of Environment and Conservation were also in attendance. Samples were collected at four surface water stations, as required in the approved Request for Technical Assistance number 11-018. These stations included Nolichucky River upstream (NRU), Nolichucky River downstream (NRD), Martin Creek upstream (MCU), and Martin Creek downstream (MCD). Both ORAU and NFS performed gross alpha and gross beta analyses, and Table 1 presents the comparison of results using the duplicate error ratio (DER), also known as the normalized absolute difference. A DER ≤ 3 indicates at a 99% confidence interval that split sample results do not differ significantly when compared to their respective one standard deviation (sigma) uncertainty (ANSI N42.22). The NFS split sample report specifies 95% confidence level of reported uncertainties (NFS 2013). Therefore, standard two sigma reporting values were divided by 1.96. In conclusion, most DER values were less than 3 and results are consistent with low (e.g., background) concentrations. The gross beta result for sample 5198W0014 was the exception. The ORAU gross beta result of 6.30 ± 0.65 pCi/L from location NRD is well above NFS's non-detected result of 1.56 ± 0.59 pCi/L. NFS's data package includes no detected result for any radionuclide at location NRD. At NRC's request, ORAU performed gamma spectroscopic analysis of sample 5198W0014 to identify analytes contributing to the relatively elevated gross beta results. This analysis identified detected amounts of naturally-occurring constituents, most notably Ac-228 from the thorium decay series, and does not suggest the presence of site-related contamination.

  17. GREET 1.5 - transportation fuel-cycle model - Vol. 1 : methodology...

    Office of Scientific and Technical Information (OSTI)

    ... SYSTEMS; FUEL CONSUMPTION; ETHERS; GREENHOUSE GASES; LIQUEFIED NATURAL GAS; AIR POLLUTION; FLY ASH; DIESEL FUELS; GASOLINE; LIQUEFIED PETROLEUM GASES; METHANOL; FUEL ...

  18. COMPARISON OF RESULTS FOR QUARTER 2 SURFACE WATER SPLIT SAMPLES COLLECTED AT THE NUCLEAR FUEL SERVICES SITE, ERWIN, TENNESSEE

    SciTech Connect (OSTI)

    2013-01-21

    Oak Ridge Associated Universities (ORAU), under the Oak Ridge Institute for Science and Education (ORISE) contract, collected split surface water samples with Nuclear Fuel Services (NFS) representatives on November 15, 2012. Representatives from the U.S. Nuclear Regulatory Commission and Tennessee Department of Environment and Conservation were also in attendance. Samples were collected at four surface water stations, as required in the approved Request for Technical Assistance number 11-018. These stations included Nolichucky River upstream (NRU), Nolichucky River downstream (NRD), Martin Creek upstream (MCU), and Martin Creek downstream (MCD). Both ORAU and NFS performed gross alpha and gross beta analyses, and the results are compared using the duplicate error ratio (DER), also known as the normalized absolute difference. A DER {<=} 3 indicates that, at a 99% confidence interval, split sample results do not differ significantly when compared to their respective one standard deviation (sigma) uncertainty (ANSI N42.22). The NFS split sample report does not specify the confidence level of reported uncertainties (NFS 2012). Therefore, standard two sigma reporting is assumed and uncertainty values were divided by 1.96. In conclusion, all DER values were less than 3 and results are consistent with low (e.g., background) concentrations.

  19. Volatility of Gasoline and Diesel Fuel Blends for Supercritical Fuel

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

    Injection | Department of Energy Gasoline and Diesel Fuel Blends for Supercritical Fuel Injection Volatility of Gasoline and Diesel Fuel Blends for Supercritical Fuel Injection Supercritical dieseline could be used in diesel engines having efficient fuel systems and combustion chamber designs that decrease fuel consumption and mitigate emissions. p-02_anitescu.pdf (339.45 KB) More Documents & Publications Preparation, Injection and Combustion of Supercritical Fluids Evaluation of

  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. Major Corporate Fleets Align to Reduce Oil Consumption | Department of

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

    Energy Corporate Fleets Align to Reduce Oil Consumption Major Corporate Fleets Align to Reduce Oil Consumption April 1, 2011 - 1:07pm Addthis President Obama announces the National Clean Fleets Partnership to help companies reduce fuel usage by incorporating electric vehicles, alternative fuels, and conservation techniques. Dennis A. Smith Director, National Clean Cities What does this project do? Cuts oil imports and consumption Helps businesses save money Increases the efficiency of

  2. COMPARISON OF RESULTS FOR QUARTER 3 SURFACE WATER SPLIT SAMPLES COLLECTED AT THE NUCLEAR FUEL SERVICES SITE, ERWIN, TENNESSEE

    SciTech Connect (OSTI)

    none,

    2013-05-28

    Oak Ridge Associated Universities (ORAU), under the Oak Ridge Institute for Science and Education (ORISE) contract, collected split surface water samples with Nuclear Fuel Services (NFS) representatives on March 20, 2013. Representatives from the U.S. Nuclear Regulatory Commission and the Tennessee Department of Environment and Conservation were also in attendance. Samples were collected at four surface water stations, as required in the approved Request for Technical Assistance number 11-018. These stations included Nolichucky River upstream (NRU), Nolichucky River downstream (NRD), Martin Creek upstream (MCU), and Martin Creek downstream (MCD). Both ORAU and NFS performed gross alpha and gross beta analyses, and Table 1 presents the comparison of results using the duplicate error ratio (DER), also known as the normalized absolute difference. A DER {<=} 3 indicates that at a 99% confidence interval, split sample results do not differ significantly when compared to their respective one standard deviation (sigma) uncertainty (ANSI N42.22). The NFS split sample report does not specify the confidence level of reported uncertainties (NFS 2013). Therefore, standard two sigma reporting is assumed and uncertainty values were divided by 1.96. In conclusion, most DER values were less than 3 and results are consistent with low (e.g., background) concentrations. The gross beta result for sample 5198W0012 was the exception. The ORAU result of 9.23 ± 0.73 pCi/L from location MCD is well above NFS's result of -0.567 ± 0.63 pCi/L (non-detected). NFS's data package included a detected result for U-233/234, but no other uranium or plutonium detection, and nothing that would suggest the presence of beta-emitting radionuclides. The ORAU laboratory reanalyzed sample 5198W0012 using the remaining portion of the sample volume and a result of 11.3 ± 1.1 pCi/L was determined. As directed, the laboratory also counted the filtrate using gamma spectrometry analysis and

  3. Fuel-Flexible Combustion System for Refinery and Chemical Plant...

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

    low-emission operation across a broad range of fuel compositions, including syngas, biogas, natural gas, and refinery fuel gas. PDF icon Displacing Natural Gas Consumption and...

  4. 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.

  5. Search results | Department of Energy

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

    Vehicles (2) Consumption (2) Electricity (2) Energy Economy (2) Fuel Economy (2) Clean Cities (1) Emergency Response & Procedures (1) Environmental Science (1) Homes (1) Hydrogen &...

  6. Search results | Department of Energy

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

    -plug-introduction-energy-electricity-consumption-and-efficiency Download Green Fuel This activity allows students the opportunity to explore different methods for collecting solar...

  7. Search results | Department of Energy

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

    (4) Energy Efficiency (4) Bioenergy (3) Science & Technology (3) Hydrogen (2) Building Design (1) Climate Change (1) Consumption (1) Hydrogen & Fuel Cells (1) Research...

  8. Search results | Department of Energy

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

    (4) Energy Economy (4) Science & Technology (4) Hydrogen (2) Biofuels (1) Building Design (1) Climate Change (1) Consumption (1) Hydrogen & Fuel Cells (1) Research...

  9. Performance assessment of the direct disposal in unsaturated tuff or spent nuclear fuel and high-level waste owned by USDOE: Volume 2, Methodology and results

    SciTech Connect (OSTI)

    Rechard, R.P.

    1995-03-01

    This assessment studied the performance of high-level radioactive waste and spent nuclear fuel in a hypothetical repository in unsaturated tuff. The results of this 10-month study are intended to help guide the Office of Environment Management of the US Department of Energy (DOE) on how to prepare its wastes for eventual permanent disposal. The waste forms comprised spent fuel and high-level waste currently stored at the Idaho National Engineering Laboratory (INEL) and the Hanford reservations. About 700 metric tons heavy metal (MTHM) of the waste under study is stored at INEL, including graphite spent nuclear fuel, highly enriched uranium spent fuel, low enriched uranium spent fuel, and calcined high-level waste. About 2100 MTHM of weapons production fuel, currently stored on the Hanford reservation, was also included. The behavior of the waste was analyzed by waste form and also as a group of waste forms in the hypothetical tuff repository. When the waste forms were studied together, the repository was assumed also to contain about 9200 MTHM high-level waste in borosilicate glass from three DOE sites. The addition of the borosilicate glass, which has already been proposed as a final waste form, brought the total to about 12,000 MTHM.

  10. Fuel Tables.indd

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

    State Nuclear Electric Power Nuclear Fuel Consumption Prices Expenditures Million Kilowatthours Trillion Btu Dollars per Million Btu Million Dollars Alabama 41,244 431.4 0.80 344.2 ...

  11. Alternative Fuels Data Center

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Tax Exemption The retail sale, use, storage, and consumption of alternative fuels is exempt from the state retail sales and use tax. (Reference North Carolina General Statutes 105-164.13

  12. The Effect of Diesel Fuel Properties on Emissions-Restrained Fuel Economy at Mid-Load Conditions

    Broader source: Energy.gov [DOE]

    Statistical models developed from designed esperiments (varying fuel properties and engine control parameters) were used to optimize fuel consumption subject to emissions and engine performance constraints.

  13. Road to Fuel Savings: GM Technology Ramps Up Engine Efficiency...

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

    from the Energy Department, is having a big impact on the vehicle's fuel consumption. ... is a compact technology that is having a big impact on the vehicle's fuel consumption. ...

  14. Hydrogen Fuel Quality - Focus: Analytical Methods Development...

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

    Fuel Quality - Focus: Analytical Methods Development & Hydrogen Fuel Quality Results Hydrogen Fuel Quality - Focus: Analytical Methods Development & Hydrogen Fuel Quality Results ...

  15. Effect of Fuel Wobbe Number on Pollutant Emissions from Advanced Technology Residential Water Heaters: Results of Controlled Experiments

    SciTech Connect (OSTI)

    Rapp, Vi H.; Singer, Brett C.

    2014-03-01

    The research summarized in this report is part of a larger effort to evaluate the potential air quality impacts of using liquefied natural gas in California. A difference of potential importance between many liquefied natural gas blends and the natural gas blends that have been distributed in California in recent years is the higher Wobbe number of liquefied natural gas. Wobbe number is a measure of the energy delivery rate for appliances that use orifice- or pressure-based fuel metering. The effect of Wobbe number on pollutant emissions from residential water heaters was evaluated in controlled experiments. Experiments were conducted on eight storage water heaters, including five with “ultra low-NO{sub X}” burners, and four on-demand (tankless) water heaters, all of which featured ultra low-NO{sub X} burners. Pollutant emissions were quantified as air-free concentrations in the appliance flue and fuel-based emission factors in units of nanogram of pollutant emitter per joule of fuel energy consumed. Emissions were measured for carbon monoxide (CO), nitrogen oxides (NO{sub X}), nitrogen oxide (NO), formaldehyde and acetaldehyde as the water heaters were operated through defined operating cycles using fuels with varying Wobbe number. The reference fuel was Northern California line gas with Wobbe number ranging from 1344 to 1365. Test fuels had Wobbe numbers of 1360, 1390 and 1420. The most prominent finding was an increase in NO{sub X} emissions with increasing Wobbe number: all five of the ultra low-NO{sub X} storage water heaters and two of the four ultra low-NO{sub X} on-demand water heaters had statistically discernible (p<0.10) increases in NO{sub X} with fuel Wobbe number. The largest percentage increases occurred for the ultra low-NO{sub X} water heaters. There was a discernible change in CO emissions with Wobbe number for all four of the on-demand devices tested. The on-demand water heater with the highest CO emissions also had the largest CO increase

  16. Development of a high-output dual-fuel engine

    SciTech Connect (OSTI)

    Danyluk, P.R. . Fairbanks Morse Engineering Division)

    1993-10-01

    This paper presents the results of a new dual-fuel engine development program. The engine is the largest commercially available in terms of power output (650 hp/cyl) and features very low emissions (1 g/hp-hr NO[sub x]) and excellent fuel consumption (43 percent thermal efficiency). A two-cylinder turbocharged prototype was designed and built for the initial development. Results from testing on 18-cylinder production versions are also reported.

  17. Natural Gas Lease and Plant Fuel Consumption

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

    1,285,627 1,322,588 1,396,273 1,483,085 1,500,181 1,577,829 1930-2015 Alabama 1967-1998 Alaska 1967-1998 Arizona 1967-1998 Arkansas 1967-1998 California 1967-1998 Colorado 1967-1998 Delaware 1967-1992 Florida 1967-1998 Idaho 1967-1992 Illinois 1967-1998 Indiana 1967-1998 Kansas 1967-1998 Kentucky 1967-1998 Louisiana 1967-1998 Maryland 1967-1998 Michigan 1967-1998 Mississippi 1967-1998 Missouri 1967-1998 Montana 1967-1998 Nebraska 1967-1998 Nevada 1967-1998 New Mexico 1967-1998 New York 1967-1998

  18. Vehicle Fuel Consumption of Natural Gas (Summary)

    Gasoline and Diesel Fuel Update (EIA)

    28,664 29,974 29,970 30,044 35,280 34,459 1997-2015 Alabama 105 192 193 190 224 220 1988-2015 Alaska 20 11 11 9 10 11 1997-2015 Arizona 2,015 1,712 1,707 1,730 2,032 1,976 ...

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

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

    ...302016" ,"Excel File Name:","na1570sme2m.xls" ,"Available from Web Page:","http:tonto.eia.govdnavnghistna1570sme2m.htm" ,"Source:","Energy Information ...

  20. Canada's Fuel Consumption Guide | Open Energy Information

    Open Energy Info (EERE)

    from the LEDS Global Partnership. When to Use This Tool While building a low emission strategy for your country's transportation system, this tool is most useful during these...

  1. Fuel Consumption per Vehicle.xls

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

    Selected Survey Years (Gallons) Survey Years Household Composition Households With Children... NA NA 609 597 625 665 Age of Oldest Child Under...

  2. Vehicle Fuel Consumption of Natural Gas (Summary)

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

    3,329 3,007 3,329 3,222 3,329 3,222 1997-2016 Alabama 21 19 21 20 36 34 2010-2016 Alaska 1 1 1 1 1 1 2010-2016 Arizona 192 173 192 186 206 199 2010-2016 Arkansas 3 3 3 3 3 3 2010-2016 California 1,565 1,413 1,565 1,514 1,447 1,400 2010-2016 Colorado 30 27 30 29 31 30 2010-2016 Connecticut 5 5 5 5 2 2 2010-2016 Delaware 0 0 0 0 0 0 2010-2016 District of Columbia 95 86 95 92 76 73 2010-2016 Florida 19 18 19 19 27 26 2010-2016 Georgia 111 100 111 107 102 99 2010-2016 Hawaii 1 1 1 1 0 0 2010-2016

  3. Natural Gas Lease and Plant Fuel Consumption

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

    134,141 127,482 134,523 129,489 132,859 127,513 198

  4. ,"Kentucky Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    ...292016" ,"Excel File Name:","na1570sky2m.xls" ,"Available from Web Page:","http:tonto.eia.govdnavnghistna1570sky2m.htm" ,"Source:","Energy Information ...

  5. ,"Connecticut Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    ...302016" ,"Excel File Name:","na1570sct2m.xls" ,"Available from Web Page:","http:tonto.eia.govdnavnghistna1570sct2m.htm" ,"Source:","Energy Information ...

  6. Outlook for alternative transportation fuels

    SciTech Connect (OSTI)

    Gushee, D.E.

    1996-12-31

    This presentation provides a brief review of regulatory issues and Federal programs regarding alternative fuel use in automobiles. A number of U.S. DOE initiatives and studies aimed at increasing alternative fuels are outlined, and tax incentives in effect at the state and Federal levels are discussed. Data on alternative fuel consumption and alternative fuel vehicle use are also presented. Despite mandates, tax incentives, and programs, it is concluded alternative fuels will have minimal market penetration. 7 refs., 5 tabs.

  7. 2002 Manufacturing Energy Consumption Survey - User Needs Survey

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

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

  8. An Energy Evolution:Alternative Fueled Vehicle Comparisons

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

    Energy Evolution: Alternative Fueled Vehicle Com parisons Presented to the DOE EERE Office July 26, 2010 Presented by Patrick Serfass, VP, National Hydrogen Association Prepared by C. E. (Sandy) Thomas, Ph.D., ex-President H 2 Gen Innovations, Inc. Alexandria, Virginia and Director, National Hydrogen Association www.CleanCarOptions.com 2 Outline * Main Results from 100-year simulation - Greenhouse Gas Emissions - Oil consumption * Battery vs. Fuel Cell system comparison * Capital investments

  9. Search results | Department of Energy

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

    Consumption Search results Search results Enter terms Search Showing 1 - 1 of 1 result. Download Power to the Plug: An Introduction to Energy, Electricity, Consumption, and...

  10. Short-Term Energy Outlook Model Documentation: Motor Gasoline Consumption Model

    Reports and Publications (EIA)

    2011-01-01

    The motor gasoline consumption module of the Short-Term Energy Outlook (STEO) model is designed to provide forecasts of total U.S. consumption of motor gasolien based on estimates of vehicle miles traveled and average vehicle fuel economy.

  11. Initial performance assessment of the disposal of spent nuclear fuel and high-level waste stored at Idaho National Engineering Laboratory. Volume 1, Methodology and results

    SciTech Connect (OSTI)

    Rechard, R.P.

    1993-12-01

    This performance assessment characterized plausible treatment options conceived by the Idaho National Engineering Laboratory (INEL) for its spent fuel and high-level radioactive waste and then modeled the performance of the resulting waste forms in two hypothetical, deep, geologic repositories: one in bedded salt and the other in granite. The results of the performance assessment are intended to help guide INEL in its study of how to prepare wastes and spent fuel for eventual permanent disposal. This assessment was part of the Waste Management Technology Development Program designed to help the US Department of Energy develop and demonstrate the capability to dispose of its nuclear waste. Although numerous caveats must be placed on the results, the general findings were as follows: Though the waste form behavior depended upon the repository type, all current and proposed waste forms provided acceptable behavior in the salt and granite repositories.

  12. Progress and interim results of the INPRO joint study on assessment of INS based on closed nuclear fuel cycle with fast reactors

    SciTech Connect (OSTI)

    Usanov, Vladimir; Raj, Baldev; Vasile, Alfredo

    2007-07-01

    The purpose of the work is to review interim results of the Joint Study on assessment of an Innovative Nuclear System based on a Closed Nuclear Fuel Cycle with Fast Reactors (INS CNFC-FR). This study is a part of the IAEA international project for innovative reactors and fuel cycle technologies (INPRO). Now it is being implemented by Canada, China, France, India, Japan, Republic of Korea, Russia, and Ukraine. A report on results of implementation of the first phase of the Joint Study was presented to the INPRO Steering Committee meeting in December 2006. It was also agreed by the Joint Study participants to reveal these results to broader discussion at scientific conferences and meetings. The authors' interpretation of the Joint Study findings and issues is presented in the paper. (authors)

  13. A natural-gas fuel processor for a residential fuel cell system.

    SciTech Connect (OSTI)

    Adachi, H.; Ahmed, S.; Lee, S. H. D.; Papadias, D.; Ahluwalia, R. K.; Bendert, J. C.; Kanner, S. A.; Yamazaki, Y.; Japan Institute of Energy

    2009-03-01

    A system model was used to develop an autothermal reforming fuel processor to meet the targets of 80% efficiency (higher heating value) and start-up energy consumption of less than 500 kJ when operated as part of a 1-kWe natural-gas fueled fuel cell system for cogeneration of heat and power. The key catalytic reactors of the fuel processor--namely the autothermal reformer, a two-stage water gas shift reactor and a preferential oxidation reactor--were configured and tested in a breadboard apparatus. Experimental results demonstrated a reformate containing {approx} 48% hydrogen (on a dry basis and with pure methane as fuel) and less than 5 ppm CO. The effects of steam-to-carbon and part load operations were explored.

  14. Algenol Announces Commercial Algal Ethanol Fuel Partnership ...

    Energy Savers [EERE]

    Protec Fuel to market and distribute commercial ethanol produced from algae for fleets and retail consumption from Algenol's commercial demonstration module in Fort Myers, Florida. ...

  15. Fuel flexible fuel injector

    DOE Patents [OSTI]

    Tuthill, Richard S; Davis, Dustin W; Dai, Zhongtao

    2015-02-03

    A disclosed fuel injector provides mixing of fuel with airflow by surrounding a swirled fuel flow with first and second swirled airflows that ensures mixing prior to or upon entering the combustion chamber. Fuel tubes produce a central fuel flow along with a central airflow through a plurality of openings to generate the high velocity fuel/air mixture along the axis of the fuel injector in addition to the swirled fuel/air mixture.

  16. CSV File Documentation: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    Product: Total Finished Motor Gasoline Reformulated Gasoline Reformulated Blended w/ Fuel Ethanol Reformulated Other Conventional Gasoline Conventional Blended w/ Fuel Ethanol Conventional Blended w/ Fuel Ethanol, Ed55 and Lower Conventional Blended w/ Fuel Ethanol, Greater than Ed55 Conventional Other Finished Aviation Gasoline Kerosene-Type Jet Fuel Kerosene Distillate Fuel Oil Distillate F.O., 15 ppm Sulfur and under Distillate F.O., Greater than 15 ppm to 500 ppm Sulfur Distillate F.O.,

  17. Motor vehicle fuel economy, the forgotten HC control stragegy?

    SciTech Connect (OSTI)

    Deluchi, M.; Wang, Quanlu; Greene, D.L.

    1992-06-01

    Emissions of hydrocarbons from motor vehicles are recognized as major contributors to ozone pollution in urban areas. Petroleum-based motor fuels contain volatile organic compounds (VOC) which, together with oxides of nitrogen, promote the formation of ozone in the troposphere via complex photochemical reactions. VOC emissions from the tailpipe and evaporation from the fuel and engine systems of highway vehicles are believed to account for about 40% of total VOC emissions in any region. But motor fuels also generate emissions throughout the fuel cycle, from crude oil production to refining, storage, transportation, and handling, that can make significant contributions to the total inventory of VOC emissions. Many of these sources of emissions are directly related to the quantity of fuel produced and handled throughout the fuel cycle. It is, therefore, reasonable to expect that a reduction in total fuel throughput might result in a reduction of VOC emissions. In particular, reducing vehicle fuel consumption by increasing vehicle fuel economy should reduce total fuel throughput, thereby cutting total emissions of VOCS. In this report we identify the sources of VOC emissions throughout the motor fuel cycle, quantify them to the extent possible, and describe their dependence on automobile and light truck fuel economy.

  18. " Column: Energy-Consumption Ratios;"

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

    3 Consumption Ratios of Fuel, 2002;" " Level: National Data; " " Row: Values of Shipments within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar" " "," ","Consumption","per Dollar","of Value","RSE" "NAICS",,"per

  19. " Column: Energy-Consumption Ratios;"

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

    3 Consumption Ratios of Fuel, 2006;" " Level: National Data; " " Row: Values of Shipments within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Economic

  20. " Column: Energy-Consumption Ratios;"

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

    3 Consumption Ratios of Fuel, 2010;" " Level: National Data; " " Row: Values of Shipments within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Economic