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Sample records for reduce fuel consumption

  1. 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...

  2. Optimization to reduce fuel consumption in charge depleting mode

    SciTech Connect (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.

  3. ,"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...

  4. ,"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...

  5. ,"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...

  6. ,"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...

  7. 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.

  8. 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.

  9. 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...

  10. Ultra-Lite Diesel Particulate Filter Cartridge for Reduced Regeneration Time and Fuel Consumption

    Broader source: Energy.gov [DOE]

    Self-cleaning ceramic filter cartridges offer the advantage of better fuel economy, faster regeneration time, improved heat transfer, and reduction in manufacturing steps

  11. ,"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...

  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. ,"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 ...

  14. 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

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

    Gasoline and Diesel Fuel Update (EIA)

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

  16. 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...

  17. 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...

  18. 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...

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

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

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

  20. ,"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...

  1. ,"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...

  2. ,"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...

  3. ,"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...

  4. ,"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...

  5. ,"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...

  6. 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...

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

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

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

  8. ,"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 ...

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

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

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

  10. 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...

  11. ,"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...

  12. 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...

  13. 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...

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

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

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

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

    Office of Scientific and Technical Information (OSTI)

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

  16. Alternative Fuels Data Center: Reynolds Logistics Reduces Fuel Costs With

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    EVs Reynolds Logistics Reduces Fuel Costs With EVs to someone by E-mail Share Alternative Fuels Data Center: Reynolds Logistics Reduces Fuel Costs With EVs on Facebook Tweet about Alternative Fuels Data Center: Reynolds Logistics Reduces Fuel Costs With EVs on Twitter Bookmark Alternative Fuels Data Center: Reynolds Logistics Reduces Fuel Costs With EVs on Google Bookmark Alternative Fuels Data Center: Reynolds Logistics Reduces Fuel Costs With EVs on Delicious Rank Alternative Fuels Data

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

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

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

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

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

    Cost Benefits of DOE Vehicle Technologies Program Fuel Consumption and Cost Benefits of DOE Vehicle Technologies Program 2012 DOE Hydrogen and Fuel Cells Program and Vehicle ...

  19. 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...

  20. 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 ...

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

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

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

  2. 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...

  3. 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]

    2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

  4. 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...

  5. 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

    Broader source: Energy.gov [DOE]

    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...

  6. 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...

  7. Reduction of Heavy-Duty Fuel Consumption and CO2 Generation-- What the Industry Does and What the Government Can Do

    Office of Energy Efficiency and Renewable Energy (EERE)

    Smart regulations, funding for advanced technologies, and improvements to operations and infrastructure play important roles in reducing fuel consumption

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

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

    Buildings and Major Renovations of Federal Buildings | Department of Energy Buildings Fossil Fuel-Generated Energy Consumption Reduction for New Federal Buildings and Major Renovations of Federal Buildings Document details Fossil Fuel-Generated Energy Consumption Reduction for New Federal Buildings and Major Renovations of Federal Buildings in a Supplemental Notice of Proposed Rulemaking. File fossilfuel.docx More Documents & Publications Fossil Fuel-Generated Energy Consumption

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

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

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

  10. ,"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...

  11. ,"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...

  12. ,"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...

  13. ,"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...

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

    Broader source: Energy.gov [DOE]

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

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

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

    mid, and high), gross vehicle weight rating (class 7 and 8), and types of tractor (day cab, sleeper cab). Combination Tractor Fuel Consumption Standards, Model Years (MY)...

  16. 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...

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

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

    South Dakota Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Plant Fuel Consumption South Dakota Natural Gas Consumption by End Use Plant Fuel Consumption of Natural Gas

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

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

    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 ...

  19. RECENT TRENDS IN EMERGING TRANSPORTATION FUELS AND ENERGY CONSUMPTION

    Office of Scientific and Technical Information (OSTI)

    (Conference) | SciTech Connect RECENT TRENDS IN EMERGING TRANSPORTATION FUELS AND ENERGY CONSUMPTION Citation Details In-Document Search Title: RECENT TRENDS IN EMERGING TRANSPORTATION FUELS AND ENERGY CONSUMPTION Abundance of energy can be improved both by developing new sources of fuel and by improving efficiency of energy utilization, although we really need to pursue both paths to improve energy accessibility in the future. Currently, 2.7 billion people or 38% of the world s population

  20. 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.

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

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

    Fuel Consumption (Million Cubic Feet) Tennessee Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 0 0 0 0 1990's 6 3 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 148 145 150 142 128 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Plant Fuel Consumption

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

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

    Fuel Consumption (Million Cubic Feet) Maryland Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1 2 1 1 2 1 1 1990's 1 0 0 1 1 1 3 3 1 1 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Lease Fuel Consumption

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

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

    Fuel Consumption (Million Cubic Feet) Missouri Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 0 0 1990's 0 0 1 0 0 0 1 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Lease Fuel Consumption

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

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

    Fuel Consumption (Million Cubic Feet) Nevada Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 1990's 0 53 30 21 16 13 11 9 9 8 2000's 7 7 6 6 5 5 5 5 4 4 2010's 4 3 4 3 3 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Lease Fuel Consumption

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

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

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

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

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

    BENEFITS A Motor Challeng NEW WATER BOOSTER PUMP SYSTEM REDUCES ENERGY CONSUMPTION BY 80 ... * * * APPLICATIONS The use of a single pump with a recirculation line to serve a wide ...

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

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

    This case study outlines how General Motors (GM) developed a highly efficient pumping ... As a result, the company reduced pumping system energy consumption by 80 percent (225,100 ...

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

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

    Buildings and Major Renovations of Federal Buildings OIRA Comparison Document | Department of Energy Buildings OIRA Comparison Document Fossil Fuel-Generated Energy Consumption Reduction for New Federal Buildings and Major Renovations of Federal Buildings OIRA Comparison Document Document details the Fossil Fuel-Generated Energy Consumption Reduction for New Federal Buildings and Major Renovations of Federal Buildings in an OIRA Comparison Document. File fossilfuel_compare2014.docx More

  9. 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 ...

  10. 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.

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

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

    Vehicle Fuel Consumption (Million Cubic Feet) Vermont Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0 0 0 2000's 0 1 1 1 1 0 W 1 1 2010's 1 3 3 3 3 3 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Delivered to Vehicle Fuel Consumers Vermont

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

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

    Vehicle Fuel Consumption (Million Cubic Feet) Maine Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0 100 0 2000's 0 0 0 0 0 0 0 0 1 2010's 1 1 1 1 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Delivered to Vehicle Fuel Consumers Maine Natural

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

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

    Fuel Consumption (Million Cubic Feet) Nebraska Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 34 35 30 19 31 21 13 1990's 0 14 9 0 3 2 3 7 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Plant Fuel

  14. 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.

  15. 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...

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

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

    Fuel Consumption (Million Cubic Feet) South Dakota Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 61 76 93 70 125 123 112 1990's 158 393 451 452 437 404 424 911 848 864 2000's 1,003 538 495 553 562 545 508 573 545 568 2010's 562 594 866 916 827 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release

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

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

    Vehicle Fuel Consumption (Million Cubic Feet) South Dakota Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 1990's 0 2 5 7 5 4 4 10 8 10 2000's 10 13 13 16 18 0 W 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Delivered

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

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

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

  19. Washington Natural Gas Lease and Plant Fuel Consumption (Million Cubic

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

    Feet) Lease and Plant Fuel Consumption (Million Cubic Feet) Washington Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 440 326 1980's 0 0 0 0 0 0 0 0 1990's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural

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

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

    Vehicle Fuel Consumption (Million Cubic Feet) Delaware Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 1990's 0 0 0 0 1 1 1 21 27 33 2000's 37 46 46 56 63 9 6 5 4 1 2010's 1 1 1 1 1 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Delivered to

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

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

    Fuel Consumption (Million Cubic Feet) Indiana Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 4 12 11 10 7 12 10 1990's 13 5 5 6 2 5 8 12 13 18 2000's 23 26 51 38 74 97 108 101 161 211 2010's 283 433 506 506 177 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

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

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

    Fuel Consumption (Million Cubic Feet) New York Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 617 840 1,041 957 975 788 604 1990's 840 1,073 965 563 781 1,074 939 778 636 701 2000's 590 640 876 1,094 614 803 635 657 687 1,005 2010's 573 498 423 375 541 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

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

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

    Vehicle Fuel Consumption (Million Cubic Feet) North Dakota Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 1990's 0 1 3 8 8 12 15 41 40 49 2000's 54 67 68 83 93 3 1 1 1 2010's 1 1 1 0 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Delivered

  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: 4/29/2016 Next Release Date: 5/31/2016 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: 4/29/2016 Next Release Date: 5/31/2016 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: 4/29/2016 Next

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

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

    Fuel Consumption (Million Cubic Feet) Kentucky Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 7,025 7,165 6,940 4,056 852 830 627 1990's 657 702 707 689 611 702 682 641 548 641 2000's 419 475 535 536 617 698 653 691 587 391 2010's 772 278 641 280 278 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

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

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

    Fuel Consumption (Million Cubic Feet) Montana Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 439 457 542 437 449 474 519 1990's 557 518 423 295 206 168 168 188 208 235 2000's 218 396 249 512 606 697 820 816 788 771 2010's 800 604 612 645 657 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release

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

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

    Vehicle Fuel Consumption (Million Cubic Feet) Montana Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 1990's 0 2 2 4 6 8 13 40 31 38 2000's 43 53 54 66 74 4 2 1 1 1 2010's 1 0 1 1 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Delivered to

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

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

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

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

    SciTech Connect (OSTI)

    Patinkin, L.

    1983-12-01

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

  13. 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

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

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

    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 ...

  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. 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.

  17. 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

  18. 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

  19. 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

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

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

    Fuel Consumption (Million Cubic Feet) Utah Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2,732 2,754 2,715 6,514 8,701 8,919 9,615 1990's 9,146 9,141 8,745 9,285 9,951 8,492 8,549 8,141 7,985 7,880 2000's 8,276 5,436 4,534 4,481 3,370 3,914 3,739 2,779 2,206 1,573 2010's 1,616 3,063 3,031 5,996 4,782 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

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

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

    Fuel Consumption (Million Cubic Feet) Virginia Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 124 272 443 438 669 536 425 1990's 489 327 653 1,120 1,102 1,296 1,183 1,330 1,243 1,519 2000's 1,820 1,641 3,000 2,108 3,307 2,749 3,809 3,143 4,406 6,040 2010's 6,121 7,206 8,408 8,408 7,252 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

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

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

    Fuel Consumption (Million Cubic Feet) West Virginia Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3,720 4,377 4,270 3,849 5,480 5,017 4,203 1990's 6,427 4,353 4,807 3,749 4,815 4,846 4,292 4,500 4,549 3,705 2000's 6,720 6,384 7,420 4,881 4,277 6,729 8,339 6,483 8,423 11,348 2010's 11,348 15,571 21,569 28,682 27,853 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  3. West Virginia Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) West Virginia Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2,106 2,855 2,920 2,809 3,355 3,326 3,679 1990's 3,204 3,391 3,290 3,316 3,272 3,199 2,262 2,710 2,344 2,209 2000's 2,505 2,342 2,186 1,361 723 281 315 309 283 698 2010's 810 1,153 1,812 3,429 6,776 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  4. 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

  5. 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 =

  6. 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

  7. 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

  8. 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

  9. 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: 4/29/2016 Next

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

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

    Fuel Consumption (Million Cubic Feet) 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 15,701 16,571 13,965 1990's 18,415 13,814 17,424 20,363 15,623 18,772 18,752 20,641 13,068 11,611 2000's 13,338 11,598 17,693 10,861 8,589 11,734 13,681 10,232 12,803 15,169 2010's 13,461 12,781 17,017 17,110 14,851 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  11. 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

  12. New Mexico Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) New Mexico 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 26,231 29,787 27,294 20,497 28,958 23,288 20,828 1990's 32,573 11,826 14,805 12,832 18,476 16,134 17,901 18,476 17,728 16,738 2000's 38,944 37,094 34,686 36,339 40,977 41,815 44,880 47,525 49,753 49,655 2010's 49,070 47,556 47,696 47,018 49,406 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  13. New Mexico Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) New 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 1980's 21,399 20,875 19,415 15,118 19,180 18,418 21,396 1990's 33,316 32,940 38,892 36,826 36,310 36,455 63,850 45,982 41,926 39,345 2000's 41,863 39,501 38,973 37,620 42,601 35,508 33,435 35,600 36,571 36,827 2010's 35,289 38,331 37,195 33,121 35,269 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  14. 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

  15. 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.

  16. 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 =

  17. 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 =

  18. 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

  19. 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 =

  20. 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

  1. 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 =

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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 =

  7. 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:

  8. 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

  9. 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

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

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

    Fuel Consumption (Million Cubic Feet) Alabama 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 1,129 1,178 1,249 1,303 1,564 1,634 1,875 1990's 3,710 3,720 4,477 4,453 3,747 3,806 2,827 2,468 2,391 5,336 2000's 5,377 3,491 4,148 3,293 3,914 3,740 6,028 6,269 6,858 6,470 2010's 6,441 6,939 6,616 6,804 6,462 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  11. 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

  12. 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

  13. 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

  14. 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 =

  15. 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.

  16. Table 4.3 Offsite-Produced Fuel Consumption, 2002

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

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

  17. Alternative Fuels Data Center: Knoxville Utilities Board Reduces Petroleum

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Use Knoxville Utilities Board Reduces Petroleum Use to someone by E-mail Share Alternative Fuels Data Center: Knoxville Utilities Board Reduces Petroleum Use on Facebook Tweet about Alternative Fuels Data Center: Knoxville Utilities Board Reduces Petroleum Use on Twitter Bookmark Alternative Fuels Data Center: Knoxville Utilities Board Reduces Petroleum Use on Google Bookmark Alternative Fuels Data Center: Knoxville Utilities Board Reduces Petroleum Use on Delicious Rank Alternative Fuels

  18. Alternative Fuels Data Center: Dallas Police Department Reduces Vehicle

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Idling Dallas Police Department Reduces Vehicle Idling to someone by E-mail Share Alternative Fuels Data Center: Dallas Police Department Reduces Vehicle Idling on Facebook Tweet about Alternative Fuels Data Center: Dallas Police Department Reduces Vehicle Idling on Twitter Bookmark Alternative Fuels Data Center: Dallas Police Department Reduces Vehicle Idling on Google Bookmark Alternative Fuels Data Center: Dallas Police Department Reduces Vehicle Idling on Delicious Rank Alternative Fuels

  19. Alternative Fuels Data Center: Michigan Fleet Reduces Gasoline and Diesel

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Use Michigan Fleet Reduces Gasoline and Diesel Use to someone by E-mail Share Alternative Fuels Data Center: Michigan Fleet Reduces Gasoline and Diesel Use on Facebook Tweet about Alternative Fuels Data Center: Michigan Fleet Reduces Gasoline and Diesel Use on Twitter Bookmark Alternative Fuels Data Center: Michigan Fleet Reduces Gasoline and Diesel Use on Google Bookmark Alternative Fuels Data Center: Michigan Fleet Reduces Gasoline and Diesel Use on Delicious Rank Alternative Fuels Data

  20. NREL Transportation Project to Reduce Fuel Usage

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

    Transportation Project to Reduce Fuel Usage For more information contact: Sarah Holmes Barba, 303-275-3023 email: Sarah Barba Golden, Colo., Mar. 23, 2001 - The Jefferson County Seniors Resource Center (SRC) Paratransit Service has become an important part of Eulalia Gaillard's life since her stroke in 1996. She calls on SRC to drive her to cardiologist, neurologist and chiropractor appointments each week. "It's wonderful," Gaillard says. "I'd give this program 150 plus in regards

  1. Alternative Fuels Data Center: Students Reduce Vehicle Idling in San

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Antonio, Texas Students Reduce Vehicle Idling in San Antonio, Texas to someone by E-mail Share Alternative Fuels Data Center: Students Reduce Vehicle Idling in San Antonio, Texas on Facebook Tweet about Alternative Fuels Data Center: Students Reduce Vehicle Idling in San Antonio, Texas on Twitter Bookmark Alternative Fuels Data Center: Students Reduce Vehicle Idling in San Antonio, Texas on Google Bookmark Alternative Fuels Data Center: Students Reduce Vehicle Idling in San Antonio, Texas on

  2. Alternative Fuels Data Center: Tennessee Reduces Pollution With Propane

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Hybrid Trolleys Tennessee Reduces Pollution With Propane Hybrid Trolleys to someone by E-mail Share Alternative Fuels Data Center: Tennessee Reduces Pollution With Propane Hybrid Trolleys on Facebook Tweet about Alternative Fuels Data Center: Tennessee Reduces Pollution With Propane Hybrid Trolleys on Twitter Bookmark Alternative Fuels Data Center: Tennessee Reduces Pollution With Propane Hybrid Trolleys on Google Bookmark Alternative Fuels Data Center: Tennessee Reduces Pollution With

  3. Alternative Fuels Data Center: Wisconsin Reduces Emissions With Natural Gas

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Trucks Wisconsin Reduces Emissions With Natural Gas Trucks to someone by E-mail Share Alternative Fuels Data Center: Wisconsin Reduces Emissions With Natural Gas Trucks on Facebook Tweet about Alternative Fuels Data Center: Wisconsin Reduces Emissions With Natural Gas Trucks on Twitter Bookmark Alternative Fuels Data Center: Wisconsin Reduces Emissions With Natural Gas Trucks on Google Bookmark Alternative Fuels Data Center: Wisconsin Reduces Emissions With Natural Gas Trucks on Delicious

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

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

    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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Delivered to

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

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

    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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Delivered to

  6. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  7. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  8. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  9. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  10. Reducing power consumption during execution of an application on a plurality of compute nodes

    DOE Patents [OSTI]

    Archer, Charles J.; Blocksome, Michael A.; Peters, Amanda E.; Ratterman, Joseph D.; Smith, Brian E.

    2012-06-05

    Methods, apparatus, and products are disclosed for reducing power consumption during execution of an application on a plurality of compute nodes that include: executing, by each compute node, an application, the application including power consumption directives corresponding to one or more portions of the application; identifying, by each compute node, the power consumption directives included within the application during execution of the portions of the application corresponding to those identified power consumption directives; and reducing power, by each compute node, to one or more components of that compute node according to the identified power consumption directives during execution of the portions of the application corresponding to those identified power consumption directives.

  11. Alternative Fuels Data Center: Delaware Reduces Truck Idling With

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Electrified Parking Areas Delaware Reduces Truck Idling With Electrified Parking Areas to someone by E-mail Share Alternative Fuels Data Center: Delaware Reduces Truck Idling With Electrified Parking Areas on Facebook Tweet about Alternative Fuels Data Center: Delaware Reduces Truck Idling With Electrified Parking Areas on Twitter Bookmark Alternative Fuels Data Center: Delaware Reduces Truck Idling With Electrified Parking Areas on Google Bookmark Alternative Fuels Data Center: Delaware

  12. Fossil fuel derivatives with reduced carbon. Phase I final report

    SciTech Connect (OSTI)

    Kennel, E.B.; Zondlo, J.W.; Cessna, T.J.

    1999-06-30

    This project involves the simultaneous production of clean fossil fuel derivatives with reduced carbon and sulfur, along with value-added carbon nanofibers. This can be accomplished because the nanofiber production process removes carbon via a catalyzed pyrolysis reaction, which also has the effect of removing 99.9% of the sulfur, which is trapped in the nanofibers. The reaction is mildly endothermic, meaning that net energy production with real reductions in greenhouse emissions are possible. In Phase I research, the feasibility of generating clean fossil fuel derivatives with reduced carbon was demonstrated by the successful design, construction and operation of a facility capable of utilizing coal as well as natural gas as an inlet feedstock. In the case of coal, for example, reductions in CO{sub 2} emissions can be as much as 70% (normalized according to kilowatts produced), with the majority of carbon safely sequestered in the form of carbon nanofibers or coke. Both of these products are value-added commodities, indicating that low-emission coal fuel can be done at a profit rather than a loss as is the case with most clean-up schemes. The main results of this project were as follows: (1) It was shown that the nanofiber production process produces hydrogen as a byproduct. (2) The hydrogen, or hydrogen-rich hydrocarbon mixture can be consumed with net release of enthalpy. (3) The greenhouse gas emissions from both coal and natural gas are significantly reduced. Because coal consumption also creates coke, the carbon emission can be reduced by 75% per kilowatt-hour of power produced.

  13. 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: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Plant Fuel Consumption Gulf of Mexico Natural Gas Consumption by End Use Plant Fuel Consumption of Natural Gas

  14. Reducing water freshwater consumption at coal-fired power plants : approaches used outside the United States.

    SciTech Connect (OSTI)

    Elcock, D.

    2011-05-09

    Coal-fired power plants consume huge quantities of water, and in some water-stressed areas, power plants compete with other users for limited supplies. Extensive use of coal to generate electricity is projected to continue for many years. Faced with increasing power demands and questionable future supplies, industries and governments are seeking ways to reduce freshwater consumption at coal-fired power plants. As the United States investigates various freshwater savings approaches (e.g., the use of alternative water sources), other countries are also researching and implementing approaches to address similar - and in many cases, more challenging - water supply and demand issues. Information about these non-U.S. approaches can be used to help direct near- and mid-term water-consumption research and development (R&D) activities in the United States. This report summarizes the research, development, and deployment (RD&D) status of several approaches used for reducing freshwater consumption by coal-fired power plants in other countries, many of which could be applied, or applied more aggressively, at coal-fired power plants in the United States. Information contained in this report is derived from literature and Internet searches, in some cases supplemented by communication with the researchers, authors, or equipment providers. Because there are few technical, peer-reviewed articles on this topic, much of the information in this report comes from the trade press and other non-peer-reviewed references. Reducing freshwater consumption at coal-fired power plants can occur directly or indirectly. Direct approaches are aimed specifically at reducing water consumption, and they include dry cooling, dry bottom ash handling, low-water-consuming emissions-control technologies, water metering and monitoring, reclaiming water from in-plant operations (e.g., recovery of cooling tower water for boiler makeup water, reclaiming water from flue gas desulfurization [FGD] systems), and desalination. Some of the direct approaches, such as dry air cooling, desalination, and recovery of cooling tower water for boiler makeup water, are costly and are deployed primarily in countries with severe water shortages, such as China, Australia, and South Africa. Table 1 shows drivers and approaches for reducing freshwater consumption in several countries outside the United States. Indirect approaches reduce water consumption while meeting other objectives, such as improving plant efficiency. Plants with higher efficiencies use less energy to produce electricity, and because the greater the energy production, the greater the cooling water needs, increased efficiency will help reduce water consumption. Approaches for improving efficiency (and for indirectly reducing water consumption) include increasing the operating steam parameters (temperature and pressure); using more efficient coal-fired technologies such as cogeneration, IGCC, and direct firing of gas turbines with coal; replacing or retrofitting existing inefficient plants to make them more efficient; installing high-performance monitoring and process controls; and coal drying. The motivations for increasing power plant efficiency outside the United States (and indirectly reducing water consumption) include the following: (1) countries that agreed to reduce carbon emissions (by ratifying the Kyoto protocol) find that one of the most effective ways to do so is to improve plant efficiency; (2) countries that import fuel (e.g., Japan) need highly efficient plants to compensate for higher coal costs; (3) countries with particularly large and growing energy demands, such as China and India, need large, efficient plants; (4) countries with large supplies of low-rank coals, such as Germany, need efficient processes to use such low-energy coals. Some countries have policies that encourage or mandate reduced water consumption - either directly or indirectly. For example, the European Union encourages increased efficiency through its cogeneration directive, which requires member states to assess their national potential for cogeneration, analyze barriers to achieving the potential, and then establish support schemes to achieve the potential. China's Eleventh Five-Year Plan (2006-2010) has an energy strategy that specifies, among other things, that production should be optimized by promoting the development of large-scale, high-efficiency units, and that air-cooled technologies should be used in areas with water shortages. The United States lacks many of these drivers. There are no government requirements that mandate more efficient plants. The United States has ample supplies of relatively cheap coal, and U.S. water-short areas are not as extensive as in countries such as China, South Africa, and Australia. Often, other countries have deployed water-savings technologies to a greater degree than the United States.

  15. Potential nanotechnology applications for reducing freshwater consumption at coal fired power plants : an early view.

    SciTech Connect (OSTI)

    Elcock, D.

    2010-09-17

    This report was funded by the U.S. Department of Energy's (DOE's) National Energy Technology Laboratory (NETL) Existing Plants Research Program, which has an energy-water research effort that focuses on water use at power plants. This study complements the overall research effort of the Existing Plants Research Program by evaluating water issues that could impact power plants. A growing challenge to the economic production of electricity from coal-fired power plants is the demand for freshwater, particularly in light of the projected trends for increasing demands and decreasing supplies of freshwater. Nanotechnology uses the unique chemical, physical, and biological properties that are associated with materials at the nanoscale to create and use materials, devices, and systems with new functions and properties. It is possible that nanotechnology may open the door to a variety of potentially interesting ways to reduce freshwater consumption at power plants. This report provides an overview of how applications of nanotechnology could potentially help reduce freshwater use at coal-fired power plants. It was developed by (1) identifying areas within a coal-fired power plant's operations where freshwater use occurs and could possibly be reduced, (2) conducting a literature review to identify potential applications of nanotechnology for facilitating such reductions, and (3) collecting additional information on potential applications from researchers and companies to clarify or expand on information obtained from the literature. Opportunities, areas, and processes for reducing freshwater use in coal-fired power plants considered in this report include the use of nontraditional waters in process and cooling water systems, carbon capture alternatives, more efficient processes for removing sulfur dioxide and nitrogen oxides, coolants that have higher thermal conductivities than water alone, energy storage options, and a variety of plant inefficiencies, which, if improved, would reduce energy use and concomitant water consumption. These inefficiencies include air heater inefficiencies, boiler corrosion, low operating temperatures, fuel inefficiencies, and older components that are subject to strain and failure. A variety of nanotechnology applications that could potentially be used to reduce the amount of freshwater consumed - either directly or indirectly - by these areas and activities was identified. These applications include membranes that use nanotechnology or contain nanomaterials for improved water purification and carbon capture; nano-based coatings and lubricants to insulate and reduce heat loss, inhibit corrosion, and improve fuel efficiency; nano-based catalysts and enzymes that improve fuel efficiency and improve sulfur removal efficiency; nanomaterials that can withstand high temperatures; nanofluids that have better heat transfer characteristics than water; nanosensors that can help identify strain and impact damage, detect and monitor water quality parameters, and measure mercury in flue gas; and batteries and capacitors that use nanotechnology to enable utility-scale storage. Most of these potential applications are in the research stage, and few have been deployed at coal-fired power plants. Moving from research to deployment in today's economic environment will be facilitated with federal support. Additional support for research development and deployment (RD&D) for some subset of these applications could lead to reductions in water consumption and could provide lessons learned that could be applied to future efforts. To take advantage of this situation, it is recommended that NETL pursue funding for further research, development, or deployment for one or more of the potential applications identified in this report.

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  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 1" ,"Total Electricity Consumption (billion kWh)",,,"Total Floorspace...

  1. 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...

  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 1" ,"Total Electricity Consumption (billion kWh)",,,"Total...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  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 2" ,"Total Electricity Consumption (billion kWh)",,,"Total Floorspace...

  11. 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...

  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 3" ,"Total Electricity Consumption (billion kWh)",,,"Total...

  13. Improved System Performance and Reduced Cost of a Fuel Reformer...

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

    Emissions Useful Life Requirement Improved System Performance and Reduced Cost of a Fuel Reformer, LNT, and SCR Aftertreatment System Meeting Emissions Useful Life Requirement An ...

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

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

    Poster presented at the 16th Directions in Engine-Efficiency and Emissions Research (DEER) Conference in Detroit, MI, September 27-30, 2010. PDF icon p-03flot.pdf More Documents & ...

  15. Reduced Energy Consumption through the Development of Fuel-Flexible...

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

    ... technology are in industries such as the food and beverage, petrochemical, pulp and ... with an industrial architect and engineering frm to design plant upgrades and an ...

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

    Broader source: Energy.gov [DOE]

    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,...

  17. 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...

  18. 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...

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

    Broader source: Energy.gov [DOE]

    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...

  20. 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

  1. Table 10.5 Estimated Number of Alternative-Fueled Vehicles in Use and Fuel Consumption, 1992-2010

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

    Estimated Number of Alternative-Fueled Vehicles in Use and Fuel Consumption, 1992-2010 Year Alternative and Replacement Fuels 1 Liquefied Petroleum Gases Compressed Natural Gas Liquefied Natural Gas Methanol, 85 Percent (M85) 3 Methanol, Neat (M100) 4 Ethanol, 85 Percent (E85) 3,5 Ethanol, 95 Percent (E95) 3 Elec- tricity 6 Hydro- gen Other Fuels 7 Subtotal Oxygenates 2 Bio- diesel 10 Total Methyl Tertiary Butyl Ether 8 Ethanol in Gasohol 9 Total Alternative-Fueled Vehicles in Use 11

  2. HEAVY-DUTY TRUCK EMISSIONS AND FUEL CONSUMPTION SIMULATING REAL...

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

    Evaluating Exhaust Emission Performance of Urban Buses Using Transient Heavy-Duty Chassis Dynamometer Heavy Duty Vehicle In-Use Emission Performance Fuel Efficiency of New European ...

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

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

    Vehicle automation is a promising petroleum reduction technology, and platooning systems for heavy-duty vehicles are likely to be a frst step towards acceptance of vehicle automation. These systems may employ existing technologies such as radar or laser range fnders, global positioning system (GPS), dedicated vehicle-to-vehicle communications (V2V), and braking and engine torque authority to enable vehicles to follow safely in close proximity with the goal of reducing fuel consumption, traffc

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

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

    Increases Reliability | Department of Energy Water Booster Pump System Reduces Energy Consumption by 80 Percent and Increases Reliability New Water Booster Pump System Reduces Energy Consumption by 80 Percent and Increases Reliability This case study outlines how General Motors (GM) developed a highly efficient pumping system for their Pontiac Operations Complex in Pontiac, Michigan. In short, GM was able to replace five original 60- to 100-hp pumps with three 15-hp pumps whose speed could

  5. 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.

  6. Demonstrating Fuel Consumption and Emissions Reductions with Next

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

    Generation Model-Based Diesel Engine Control | Department of Energy 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. PDF icon deer11_atkinson.pdf More Documents & Publications Fuel Efficiency and Emissions Optimization of Heavy-Duty Diesel Engines using Model-Based Transient Calibration Model-Based Transient Calibration Optimization for Next

  7. Reducing power consumption while performing collective operations on a plurality of compute nodes

    DOE Patents [OSTI]

    Archer, Charles J.; Blocksome, Michael A.; Peters, Amanda E.; Ratterman, Joseph D.; Smith, Brian E.

    2011-10-18

    Methods, apparatus, and products are disclosed for reducing power consumption while performing collective operations on a plurality of compute nodes that include: receiving, by each compute node, instructions to perform a type of collective operation; selecting, by each compute node from a plurality of collective operations for the collective operation type, a particular collective operation in dependence upon power consumption characteristics for each of the plurality of collective operations; and executing, by each compute node, the selected collective operation.

  8. Hydraulic HEV Fuel Consumption Potential | Department of Energy

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

    vss071_rousseau_2012_o.pdf More Documents & Publications Evaluation of Powertrain Options and Component Sizing for MD and HD Applications on Real World Drive Cycles Roadmap and Technical White Papers for 21st Century Truck Partnership Fuel Displacement & Cost Potential of CNG, LNG, and LPG Vehicles

  9. Reducing fuel consumption on the field, by continuously measuring fuel quality on electronically fuel injected engines.

    Broader source: Energy.gov [DOE]

    Poster presented at the 16th Directions in Engine-Efficiency and Emissions Research (DEER) Conference in Detroit, MI, September 27-30, 2010.

  10. 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.

  11. Fuel Consumption and Cost Benefits of DOE Vehicle Technologies Program |

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

    Department of Energy 12 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting PDF icon vss077_shidore_2012_o.pdf More Documents & Publications Well-to-Wheels Analysis of Energy Use and Greenhouse Gas Emissions of Plug-In Hybrid Electric Vehicles Government Performance Result Act (GPRA) / Portfolio Decision Support (PDS) Support for Government Performance and Results Act (GPRA)

  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: 4/29/2016 Next Release Date: 5/31/2016 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: 4/29/2016 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: 4/29/2016

  15. Virginia 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) 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 Year-7 Year-8 Year-9 1960's 0 128 211 1970's 252 213 157 170 307 168 157 157 191 266 1980's 240 361 181 124 272 443 438 669 536 425 1990's 489 327 653 1,120 1,102 1,296 1,183 1,330 1,243 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release

  16. 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: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Lease and

  17. 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: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Lease and

  18. 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: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  19. New York 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) New York 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 508 538 561 1970's 485 460 0 442 340 267 273 278 109 961 1980's 115 80 494 617 840 1,041 957 975 788 604 1990's 840 1,073 965 563 781 1,074 939 778 636 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  20. 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: 4/29/2016 Next Release Date: 5/31/2016 Referring

  1. 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: 4/29/2016 Next Release Date: 5/31/2016

  2. 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: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas

  3. 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: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas

  4. ,"Maine 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","Maine Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  5. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  6. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  7. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  8. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  9. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  10. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  11. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  12. ,"Nevada 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","Nevada Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  13. ,"New Hampshire 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","New Hampshire Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  14. ,"New Jersey 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","New Jersey Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  15. ,"New Mexico 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","New Mexico Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  16. ,"New York 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","New York Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  17. ,"North 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","North Carolina Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  18. ,"North Dakota 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","North Dakota Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  19. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  20. ,"Oklahoma 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","Oklahoma Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  1. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  2. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  3. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  4. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  5. ,"South Dakota 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 Dakota Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  6. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  7. ,"Texas 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","Texas Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  13. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  14. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  15. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  16. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  17. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  18. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  19. ,"Connecticut 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","Connecticut Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  20. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  1. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  2. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  3. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  4. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  5. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  6. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  7. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  8. ,"Kansas 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","Kansas Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  9. ,"Kentucky 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","Kentucky Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  10. ,"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","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  11. 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...

  12. 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-...

  13. 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-...

  14. 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-...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. Energy Department Announces New Investment to Reduce Fuel Cell Costs |

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

    Department of Energy Investment to Reduce Fuel Cell Costs Energy Department Announces New Investment to Reduce Fuel Cell Costs August 1, 2013 - 12:00pm Addthis In support of the Obama Administration's all-of-the-above strategy to develop clean, domestic energy sources, the Energy Department today announced a $4.5 million investment in two projects-led by Minnesota-based 3M and the Colorado School of Mines-to lower the cost, improve the durability, and increase the efficiency of

  2. Ultra-Lite Diesel Particulate Filter Cartridge for Reduced Regeneratio...

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

    Lite Diesel Particulate Filter Cartridge for Reduced Regeneration Time and Fuel Consumption Ultra-Lite Diesel Particulate Filter Cartridge for Reduced Regeneration Time and Fuel ...

  3. 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.

  4. Manufacturing Consumption of Energy 1994

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

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

  5. 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

  6. 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

  7. 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

  8. Utah 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) 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 Year-7 Year-8 Year-9 1960's 1,956 1,503 2,113 1970's 633 2,115 1,978 2,435 4,193 7,240 9,150 7,585 8,325 14,123 1980's 7,594 511 5,965 4,538 8,375 9,001 13,289 17,671 16,889 16,211 1990's 19,719 13,738 12,611 12,526 13,273 27,012 27,119 24,619 27,466 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  9. West Virginia 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) 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 Year-6 Year-7 Year-8 Year-9 1960's 2,052 2,276 0 1970's 2,551 3,043 3,808 2,160 1,909 1,791 1,490 1,527 1,233 1,218 1980's 2,482 2,515 6,426 5,826 7,232 7,190 6,658 8,835 8,343 7,882 1990's 9,631 7,744 8,097 7,065 8,087 8,045 6,554 7,210 6,893 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  10. 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

  11. 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;

  12. 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

  13. 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

  14. New Mexico 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) New Mexico 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 46,793 46,331 45,309 1970's 47,998 46,114 48,803 52,553 43,452 38,604 49,160 43,751 37,880 50,798 1980's 36,859 22,685 55,722 47,630 50,662 46,709 35,615 48,138 41,706 42,224 1990's 65,889 44,766 53,697 49,658 54,786 52,589 81,751 64,458 59,654 - = No Data Reported; -- = Not

  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. 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

  19. 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

  20. 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

  1. 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

  2. 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:

  3. Alabama 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) 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 Year-7 Year-8 Year-9 1960's 162 152 150 1970's 214 476 1,070 1,329 1,301 1,968 2,714 5,444 3,371 21,454 1980's 9,990 5,804 5,037 4,729 5,332 5,476 5,442 6,878 6,655 6,152 1990's 9,881 8,627 12,868 13,365 0 14,274 13,319 9,488 10,041 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  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. 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.

  6. 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

  7. Thermostatic/orifice trap reduces fuel, repair costs

    SciTech Connect (OSTI)

    Not Available

    1982-11-01

    This article is an evaluation of a steam trap that combines the continuous drain oriface with a thermostatically controlled trap oriface to efficiently remove condensate from virtually any steam system within its operating limits. This trap effectively reduces fuel and repair costs and has a capacity of 6000 il/hr, handles various pressures up to 600 psig, and operates against back pressures up to 90% of inlet pressure.

  8. Reducing power consumption while synchronizing a plurality of compute nodes during execution of a parallel application

    DOE Patents [OSTI]

    Archer, Charles J.; Blocksome, Michael A.; Peters, Amanda A.; Ratterman, Joseph D.; Smith, Brian E.

    2012-01-10

    Methods, apparatus, and products are disclosed for reducing power consumption while synchronizing a plurality of compute nodes during execution of a parallel application that include: beginning, by each compute node, performance of a blocking operation specified by the parallel application, each compute node beginning the blocking operation asynchronously with respect to the other compute nodes; reducing, for each compute node, power to one or more hardware components of that compute node in response to that compute node beginning the performance of the blocking operation; and restoring, for each compute node, the power to the hardware components having power reduced in response to all of the compute nodes beginning the performance of the blocking operation.

  9. Reducing power consumption while synchronizing a plurality of compute nodes during execution of a parallel application

    DOE Patents [OSTI]

    Archer, Charles J.; Blocksome, Michael A.; Peters, Amanda E.; Ratterman, Joseph D.; Smith, Brian E.

    2012-04-17

    Methods, apparatus, and products are disclosed for reducing power consumption while synchronizing a plurality of compute nodes during execution of a parallel application that include: beginning, by each compute node, performance of a blocking operation specified by the parallel application, each compute node beginning the blocking operation asynchronously with respect to the other compute nodes; reducing, for each compute node, power to one or more hardware components of that compute node in response to that compute node beginning the performance of the blocking operation; and restoring, for each compute node, the power to the hardware components having power reduced in response to all of the compute nodes beginning the performance of the blocking operation.

  10. 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.

  11. 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...

  12. 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

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

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

    Engine Equipped with a Lean-NOx Trap | Department of Energy Lean-burn improves PFI fuel economy by ~3% relative to best stoichiometric VCT/EGR conditions, when used in combination with VCT & EGR. PDF icon deer09_lymburner.pdf More Documents & Publications Vehicle Technologies Office Merit Review 2015: Cummins-ORNL\FEERC Emissions CRADA: NOx Control & Measurement Technology for Heavy-Duty Diesel Engines, Self-Diagnosing SmartCatalyst Systems Emissions Control for Lean Gasoline

  14. 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.

  15. Tennessee: Da Vinci Fuel-in-Oil Reduces Emissions, Wins R&D 100...

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

    Tennessee: Da Vinci Fuel-in-Oil Reduces Emissions, Wins R&D 100 Award Tennessee: Da Vinci Fuel-in-Oil Reduces Emissions, Wins R&D 100 Award August 19, 2013 - 5:07pm Addthis ...

  16. Tennessee: Da Vinci Fuel-in-Oil Reduces Emissions, Wins R&D 100...

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

    Tennessee: Da Vinci Fuel-in-Oil Reduces Emissions, Wins R&D 100 Award Tennessee: Da Vinci Fuel-in-Oil Reduces Emissions, Wins R&D 100 Award August 19, 2013 - 5:07pm Addthis...

  17. A Bimetmallic Fuel-Borne Catalyst for Reduce Precious Metal Use...

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

    A Bimetmallic Fuel-Borne Catalyst for Reduce Precious Metal Use in Medium-Duty Diesel Engines A Bimetmallic Fuel-Borne Catalyst for Reduce Precious Metal Use in Medium-Duty Diesel ...

  18. EERE Success Story-Tennessee: Da Vinci Fuel-in-Oil Reduces Emissions...

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

    Tennessee: Da Vinci Fuel-in-Oil Reduces Emissions, Wins R&D 100 Award EERE Success Story-Tennessee: Da Vinci Fuel-in-Oil Reduces Emissions, Wins R&D 100 Award August 19, 2013 - ...

  19. Reducing power consumption during execution of an application on a plurality of compute nodes

    DOE Patents [OSTI]

    Archer, Charles J.; Blocksome, Michael A.; Peters, Amanda E.; Ratterman, Joseph D.; Smith, Brian E.

    2013-09-10

    Methods, apparatus, and products are disclosed for reducing power consumption during execution of an application on a plurality of compute nodes that include: powering up, during compute node initialization, only a portion of computer memory of the compute node, including configuring an operating system for the compute node in the powered up portion of computer memory; receiving, by the operating system, an instruction to load an application for execution; allocating, by the operating system, additional portions of computer memory to the application for use during execution; powering up the additional portions of computer memory allocated for use by the application during execution; and loading, by the operating system, the application into the powered up additional portions of computer memory.

  20. The potential for reducing urban air temperatures and energy consumption through vegetative cooling

    SciTech Connect (OSTI)

    Kurn, D.M.; Bretz, S.E.; Huang, B.; Akbari, H.

    1994-05-01

    A network of 23 weather stations was used to detect existing oases in Southern California. Four stations, separated from one another by 15--25 miles (24--40 km), were closely examined. Data were strongly affected by the distance of the stations from the Pacific Ocean. This and other city-scale effects made the network inadequate for detection of urban oases. We also conducted traverse measurements of temperature and humidity in the Whittier Narrows Recreation Area in Los Angeles County on September 8--10, 1993. Near-surface air temperatures over vegetated areas were 1--2{degrees}C lower than background air temperatures. We estimate that vegetation may lower urban temperatures by 1{degrees}C, while the establishment of vegetative canopies may lower local temperatures by an additional 2{degrees}C. An increase in vegetation in residential neighborhoods may reduce peak loads in the Los Angeles area by 0.3 GW, and reduce energy consumption by 0.2 BkWh/year, saving $20 million annually. Large additional savings would result from regional cooling.

  1. Hydrogen Fuel Cell Project Seeks to Reduce Port Emissions

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

    Education » Increase Your H2IQ » Hydrogen Fuel Cell Basics Hydrogen Fuel Cell Basics Hydrogen is a versatile energy carrier that can be used to power nearly every end-use energy need. The fuel cell-an energy conversion device that can efficiently capture and use the power of hydrogen-is the key to making it happen. Learn about fuel cell applications, benefits, how they work, and challenges and research directions. Fuel Cell Applications Stationary Power Stations Stationary fuel cells can be

  2. 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)...

  3. 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.

  4. 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...

  5. Reducing Proliferation Rick Through Multinational Fuel Cycle Facilities

    SciTech Connect (OSTI)

    Amanda Rynes

    2010-11-01

    With the prospect of rapid expansion of the nuclear energy industry and the ongoing concern over weapons proliferation, there is a growing need for a viable alternative to traditional nation-based fuel production facilities. While some in the international community remain apprehensive, the advantages of multinational fuel cycle facilities are becoming increasingly apparent, with states on both sides of the supply chain able to garner the security and financial benefits of such facilities. Proliferation risk is minimized by eliminating the need of states to establish indigenous fuel production capabilities and the concept's structure provides an additional internationally monitored barrier against the misuse or diversion of nuclear materials. This article gives a brief description of the arguments for and against the implementation of a complete multinational fuel cycle.

  6. Complete Fuel Combustion for Diesel Engines Resulting in Greatly Reduced

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

    Emissions and Improved Fuel Efficiency | Department of Energy An advanced engine design that is 15 percent more efficient than diesel, pollution free, and uses any fuel. PDF icon deer08_zajac.pdf More Documents & Publications Impact of Biodiesel Metals on the Performance and Durability of DOC and DPF Technologies High Thermal Efficiency and Low Emissions with Supercritical Gasoline Injection-Ignition in a Light Duty Engine Evaluation of Variable Compression Ratio on Energy Efficiency

  7. Transmutation, Burn-Up and Fuel Fabrication Trade-Offs in Reduced-Moderation Water Reactor Thorium Fuel Cycles - 13502

    SciTech Connect (OSTI)

    Lindley, Benjamin A.; Parks, Geoffrey T.; Franceschini, Fausto

    2013-07-01

    Multiple recycle of long-lived actinides has the potential to greatly reduce the required storage time for spent nuclear fuel or high level nuclear waste. This is generally thought to require fast reactors as most transuranic (TRU) isotopes have low fission probabilities in thermal reactors. Reduced-moderation LWRs are a potential alternative to fast reactors with reduced time to deployment as they are based on commercially mature LWR technology. Thorium (Th) fuel is neutronically advantageous for TRU multiple recycle in LWRs due to a large improvement in the void coefficient. If Th fuel is used in reduced-moderation LWRs, it appears neutronically feasible to achieve full actinide recycle while burning an external supply of TRU, with related potential improvements in waste management and fuel utilization. In this paper, the fuel cycle of TRU-bearing Th fuel is analysed for reduced-moderation PWRs and BWRs (RMPWRs and RBWRs). RMPWRs have the advantage of relatively rapid implementation and intrinsically low conversion ratios. However, it is challenging to simultaneously satisfy operational and fuel cycle constraints. An RBWR may potentially take longer to implement than an RMPWR due to more extensive changes from current BWR technology. However, the harder neutron spectrum can lead to favourable fuel cycle performance. A two-stage fuel cycle, where the first pass is Th-Pu MOX, is a technically reasonable implementation of either concept. The first stage of the fuel cycle can therefore be implemented at relatively low cost as a Pu disposal option, with a further policy option of full recycle in the medium term. (authors)

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

    Broader source: Energy.gov [DOE]

    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...

  9. Fact #634: August 2, 2010 Off-highway Transportation-related Fuel Consumption

    Broader source: Energy.gov [DOE]

    The Environmental Protection Agency's NONROAD2008a model estimates fuel use for off-highway equipment. Construction and mining equipment using diesel fuel account for the majority of this fuel use....

  10. Enabling Clean Consumption of Low Btu and Reactive Fuels in Gas...

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

    Fuels ADVANCED MANUFACTURING OFFICE Enabling Clean Combustion of Low-Btu and Reactive Fuels in Gas Turbines By enabling ultralow-emission, lean premixed combustion of a ...

  11. 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.

  12. 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...

  13. 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.

  14. Acetals and ketals of reduced sugars as fuel system icing inhibitor additives

    SciTech Connect (OSTI)

    Mushrush, G.W.; Stalick, W.M.; Basu, S.

    1996-10-01

    Currently the fuel system icing inhibitor additives ethylene glycol monomethyl ether (EGME) and diethylene glycol monomethyl ether (DiEGME) are mandatory in all military aircraft fuels. These additives are optional for use in all worldwide commercial aviation fuels depending on routes, flight lengths, and season. These deicing compounds are toxic at the concentrations that are required for effective deicing. The additives are leached out of the fuel and into tank water bottoms; glycols exert high oxygen demand. In addition, water drained from fuel system pumps, filters and storage tanks contain EGME/DiEGME and creates a personnel hazard. Acetals and ketals of reduced sugars represent viable alternatives to glycol based additives. They are inexpensive, fuel stable for at least one year and show the similar icing inhibitor characteristics. The synthesis and fuel studies for these compounds will be presented.

  15. REDUCING ULTRA-CLEAN TRANSPORTATION FUEL COSTS WITH HYMELT HYDROGEN

    SciTech Connect (OSTI)

    Donald P. Malone; William R. Renner

    2005-07-01

    Phase I of the work to be done under this agreement consisted of conducting atmospheric gasification of coal using the HyMelt technology to produce separate hydrogen rich and carbon monoxide rich product streams. In addition smaller quantities of petroleum coke and a low value refinery stream were gasified. Phase II of the work to be done under this agreement, consists of gasification of the above-mentioned feeds at a gasifier pressure of approximately 5 bar. The results of this work will be used to evaluate the technical and economic aspects of producing ultra-clean transportation fuels using the HyMelt technology in existing and proposed refinery configurations. This report describes activities for the ninth quarter of work performed under this agreement. The design of the vessel for pressure testing has been completed. The design will be finalized and purchased in the next quarter.

  16. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    ... requirements mandating reduced petroleum consumption and increased alternative fuel use. Source: Federal Fleet FAST Data The Energy Policy Act of 1992 (EPAct) and subsequent ...

  17. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    requirements mandating reduced petroleum consumption and increased alternative fuel use. Source: Federal Fleet FAST Data The Energy Policy Act of 1992 (EPAct) and subsequent ...

  18. 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...

  19. REDUCING ULTRA-CLEAN TRANSPORTATION FUEL COSTS WITH HYMELT HYDROGEN

    SciTech Connect (OSTI)

    Donald P. Malone; William R. Renner

    2005-01-01

    This report describes activities for the seventh quarter of work performed under this agreement. We await approval from the Swedish pressure vessel board to allow us to proceed with the procurement of the vessel for super atmospheric testing. Phase I of the work to be done under this agreement consists of conducting atmospheric gasification of coal using the HyMelt technology to produce separate hydrogen rich and carbon monoxide rich product streams. In addition smaller quantities of petroleum coke and a low value refinery stream will be gasified. DOE and EnviRes will evaluate the results of this work to determine the feasibility and desirability of proceeding to Phase II of the work to be done under this agreement, which is gasification of the above-mentioned feeds at a gasifier pressure of approximately 5 bar. The results of this work will be used to evaluate the technical and economic aspects of producing ultra-clean transportation fuels using the HyMelt technology in existing and proposed refinery configurations.

  20. China's Top-1000 Energy-Consuming Enterprises Program:Reducing Energy Consumption of the 1000 Largest Industrial Enterprises in China

    SciTech Connect (OSTI)

    Price, Lynn; Price, Lynn; Wang, Xuejun; Yun, Jiang

    2008-06-02

    In 2005, the Chinese government announced an ambitious goal of reducing energy consumption per unit of GDP by 20% between 2005 and 2010. One of the key initiatives for realizing this goal is the Top-1000 Energy-Consuming Enterprises program. The energy consumption of these 1000 enterprises accounted for 33% of national and 47% of industrial energy usage in 2004. Under the Top-1000 program, 2010 energy consumption targets were determined for each enterprise. The objective of this paper is to evaluate the program design and initial results, given limited information and data, in order to understand the possible implications of its success in terms of energy and carbon dioxide emissions reductions and to recommend future program modifications based on international experience with similar target-setting agreement programs. Even though the Top-1000 Program was designed and implemented rapidly, it appears that--depending upon the GDP growth rate--it could contribute to somewhere between approximately 10% and 25% of the savings required to support China's efforts to meet a 20% reduction in energy use per unit of GDP by 2010.

  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. Fact #787: July 8, 2013 Truck Stop Electrification Reduces Idle Fuel Consumption

    Broader source: Energy.gov [DOE]

    The U.S. Department of Transportation mandates that truckers rest for 10 hours after driving for 11 hours, during which time they often park at truck stops idling the engines to provide heating,...

  3. Reduced Energy Consumption through the Development of Fuel-Flexible Gas Turbines

    Broader source: Energy.gov [DOE]

    Gas turbines—heat engines that use high-temperature and high-pressure gas as the combustible fuel—are used extensively throughout U.S. industry to power industrial processes. The majority of...

  4. Radio Frequency Diesel Particulate Filter Sensor Reduces Fuel Consumption, Wins R&D 100 Award

    Broader source: Energy.gov [DOE]

    Radio Frequency Diesel Particulate Filter Sensor (RF-DPF) is a sensor that uses radio frequencies to measure the amount and distribution of soot and ash in the filters that remove particulate matter from the exhaust of diesel engines.

  5. Using architecture information and real-time resource state to reduce power consumption and communication costs in parallel applications.

    SciTech Connect (OSTI)

    Brandt, James M.; Devine, Karen D.; Gentile, Ann C.; Leung, Vitus J.; Olivier, Stephen Lecler; Pedretti, Kevin; Rajamanickam, Sivasankaran; Bunde, David P.; Deveci, Mehmet; Catalyurek, Umit V.

    2014-09-01

    As computer systems grow in both size and complexity, the need for applications and run-time systems to adjust to their dynamic environment also grows. The goal of the RAAMP LDRD was to combine static architecture information and real-time system state with algorithms to conserve power, reduce communication costs, and avoid network contention. We devel- oped new data collection and aggregation tools to extract static hardware information (e.g., node/core hierarchy, network routing) as well as real-time performance data (e.g., CPU uti- lization, power consumption, memory bandwidth saturation, percentage of used bandwidth, number of network stalls). We created application interfaces that allowed this data to be used easily by algorithms. Finally, we demonstrated the benefit of integrating system and application information for two use cases. The first used real-time power consumption and memory bandwidth saturation data to throttle concurrency to save power without increasing application execution time. The second used static or real-time network traffic information to reduce or avoid network congestion by remapping MPI tasks to allocated processors. Results from our work are summarized in this report; more details are available in our publications [2, 6, 14, 16, 22, 29, 38, 44, 51, 54].

  6. Solid Fuel - Oxygen Fired Combustion for Production of Nodular Reduced Iron to Reduce CO2 Emissions and Improve Energy Efficiencies

    SciTech Connect (OSTI)

    Donald R. Fosnacht; Richard F. Kiesel; David W. Hendrickson; David J. Englund; Iwao Iwasaki; Rodney L. Bleifuss; Mathew A. Mlinar

    2011-12-22

    The current trend in the steel industry is an increase in iron and steel produced in electric arc furnaces (EAF) and a gradual decline in conventional steelmaking from taconite pellets in blast furnaces. In order to expand the opportunities for the existing iron ore mines beyond their blast furnace customer base, a new material is needed to satisfy the market demands of the emerging steel industry while utilizing the existing infrastructure and materials handling capabilities. This demand creates opportunity to convert iron ore or other iron bearing materials to Nodular Reduced Iron (NRI) in a recently designed Linear Hearth Furnace (LHF). NRI is a metallized iron product containing 98.5 to 96.0% iron and 2.5 to 4% C. It is essentially a scrap substitute with little impurity that can be utilized in a variety of steelmaking processes, especially the electric arc furnace. The objective of this project was to focus on reducing the greenhouse gas emissions (GHG) through reducing the energy intensity using specialized combustion systems, increasing production and the use of biomass derived carbon sources in this process. This research examined the use of a solid fuel-oxygen fired combustion system and compared the results from this system with both oxygen-fuel and air-fuel combustion systems. The solid pulverized fuels tested included various coals and a bio-coal produced from woody biomass in a specially constructed pilot scale torrefaction reactor at the Coleraine Minerals Research Laboratory (CMRL). In addition to combustion, the application of bio-coal was also tested as a means to produce a reducing atmosphere during key points in the fusion process, and as a reducing agent for ore conversion to metallic iron to capture the advantage of its inherent reduced carbon footprint. The results from this study indicate that the approaches taken can reduce both greenhouse gas emissions and the associated energy intensity with the Linear Hearth Furnace process for converting iron ore to metallic iron nodules. Various types of coals including a bio-coal produced though torrefaction can result in production of NRI at reduced GHG levels. The process results coupled with earlier already reported developments indicate that this process technique should be evaluated at the next level in order to develop parameter information for full scale process design. Implementation of the process to full commercialization will require a full cost production analysis and comparison to other reduction technologies and iron production alternatives. The technical results verify that high quality NRI can be produced under various operating conditions at the pilot level.

  7. Fact #704: December 5, 2011 Fuel Consumption Standards for New Heavy Pickups and Vans

    Broader source: Energy.gov [DOE]

    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....

  8. 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.

  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. Fuel-Flexible Microturbine and Gasifier System

    SciTech Connect (OSTI)

    2009-12-01

    This factsheet describes a project that will develop and demonstrate a prototype microturbine combined heat and power system fueled by synthesis gas and integrated with a biomass gasifier, enabling reduced fossil fuel consumption and carbon dioxide emissions.

  11. 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.

  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. 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 generation.

  14. 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...

  15. 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...

  16. Co-Optimization of Fuels & Engines | Department of Energy

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

    Reduce petroleum consumption by billions of barrels a year Deliver tens of billions of dollars in cost savings annually via improved fuel economy Dramatically decrease ...

  17. Method for reducing fuel cell output voltage to permit low power operation

    DOE Patents [OSTI]

    Reiser, Carl A.; Landau, Michael B.

    1980-01-01

    Fuel cell performance is degraded by recycling a portion of the cathode exhaust through the cells and, if necessary, also reducing the total air flow to the cells for the purpose of permitting operation below a power level which would otherwise result in excessive voltage.

  18. Development of Nuclear Renewable Oil Shale Systems for Flexible Electricity and Reduced Fossil Fuel Emissions

    SciTech Connect (OSTI)

    Daniel Curtis; Charles Forsberg; Humberto Garcia

    2015-05-01

    We propose the development of Nuclear Renewable Oil Shale Systems (NROSS) in northern Europe, China, and the western United States to provide large supplies of flexible, dispatchable, very-low-carbon electricity and fossil fuel production with reduced CO2 emissions. NROSS are a class of large hybrid energy systems in which base-load nuclear reactors provide the primary energy used to produce shale oil from kerogen deposits and simultaneously provide flexible, dispatchable, very-low-carbon electricity to the grid. Kerogen is solid organic matter trapped in sedimentary shale, and large reserves of this resource, called oil shale, are found in northern Europe, China, and the western United States. NROSS couples electricity generation and transportation fuel production in a single operation, reduces lifecycle carbon emissions from the fuel produced, improves revenue for the nuclear plant, and enables a major shift toward a very-low-carbon electricity grid. NROSS will require a significant development effort in the United States, where kerogen resources have never been developed on a large scale. In Europe, however, nuclear plants have been used for process heat delivery (district heating), and kerogen use is familiar in certain countries. Europe, China, and the United States all have the opportunity to use large scale NROSS development to enable major growth in renewable generation and either substantially reduce or eliminate their dependence on foreign fossil fuel supplies, accelerating their transitions to cleaner, more efficient, and more reliable energy systems.

  19. A practical strategy for reducing the future security risk of United States spent nuclear fuel

    SciTech Connect (OSTI)

    Chodak, P. III; Buksa, J.J.

    1997-06-01

    Depletion calculations show that advanced oxide (AOX) fuels can be used in existing light water reactors (LWRs) to achieve and maintain virtually any desired level of US (US) reactor-grade plutonium (R-Pu) inventory. AOX fuels are composed of a neutronically inert matrix loaded with R-Pu and erbium. A 1/2 core load of 100% nonfertile, 7w% R-Pu AOX and 3.9 w% UO{sub 2} has a net total plutonium ({sup TOT}Pu) destruction rate of 310 kg/yr. The 20% residual {sup TOT}Pu in discharged AOX contains > 55% {sup 242}Pu making it unattractive for nuclear explosive use. A three-phase fuel-cycle development program sequentially loading 60 LWRs with 100% mixed oxide, 50% AOX with a nonfertile component displacing only some of the {sup 238}U, and 50% AOX, which is 100% nonfertile, could reduce the US plutonium inventory to near zero by 2050.

  20. Technical Potential of Solar Water Heating to Reduce Fossil Fuel Use and Greenhouse Gas Emissions in the United States

    SciTech Connect (OSTI)

    Denholm, P.

    2007-03-01

    Use of solar water heating (SWH) in the United States grew significantly in the late 1970s and early 1980s, as a result of increasing energy prices and generous tax credits. Since 1985, however, expiration of federal tax credits and decreased energy prices have virtually eliminated the U.S. market for SWH. More recently, increases in energy prices, concerns regarding emissions of greenhouse gases, and improvements in SWH systems have created new interest in the potential of this technology. SWH, which uses the sun to heat water directly or via a heat-transfer fluid in a collector, may be particularly important in its ability to reduce natural gas use. Dependence on natural gas as an energy resource in the United States has significantly increased in the past decade, along with increased prices, price volatility, and concerns about sustainability and security of supply. One of the readily deployable technologies available to decrease use of natural gas is solar water heating. This report provides an overview of the technical potential of solar water heating to reduce fossil fuel consumption and associated greenhouse gas emissions in U.S. residential and commercial buildings.

  1. Table 8.5c Consumption of Combustible Fuels for Electricity Generation: Electric Power Sector by Plant Type, 1989-2011 (Breakout of Table 8.5b)

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

    5c Consumption of Combustible Fuels for Electricity Generation: Electric Power Sector by Plant Type, 1989-2011 (Breakout of Table 8.5b) 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 Electricity-Only Plants 11<//td> 1989 767,378,330 25,574,094 241,960,194 3,460 517,385 270,124,673

  2. Increasing the power density when using inert matrix fuels to reduce production of transuranics

    SciTech Connect (OSTI)

    Recktenwald, G.D.; Deinert, M.R.

    2013-07-01

    Reducing the production of transuranics is a goal of most advanced nuclear fuel cycles. One way to do this is to recycle the transuranics into the same reactors that are currently producing them using an inert matrix fuel. In previous work we have modeled such a reactor where 72%, of the core is comprised of standard enriched uranium fuel pins, with the remaining 28% fuel made from Yttria stabilized zirconium, in which transuranics are loaded. A key feature of this core is that all of the transuranics produced by the uranium fuel assemblies are later burned in inert matrix fuel assemblies. It has been shown that this system can achieve reductions in transuranic waste of more than 86%. The disadvantage of such a system is that the core power rating must be significantly lower than a standard pressurized water reactor. One reason for the lower power is that high burnup of the uranium fuel precludes a critical level of reactivity at the end of the campaign. Increasing the uranium enrichment and changing the pin pitch are two ways to increase burnup while maintaining criticality. In this paper we use MCNPX and a linear reactivity model to quantify the effect of these two parameters on the end of campaign reactivity. Importantly, we show that in the region of our proposed reactor, enrichment increases core reactivity by 0.02 per percent uranium 235 and pin pitch increases reactivity by 0.02 per mm. Reactivity is lost at a rate of 0.005 per MWd/kgIHM uranium burnup. (authors)

  3. Reducing Idle Power Consumption in Office Spaces Saves U.S. Navy in Energy Costs (Fact Sheet), NREL (National Renewable Energy Laboratory)

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

    Reducing Idle Power Consumption in Office Spaces Saves U.S. Navy in Energy Costs As part of a two-year project to demonstrate energy efficiency measures, renewable energy generation, and energy systems integration, the National Renewable Energy Laboratory (NREL) has identified advanced plug load controls as a promising technology for reducing energy use and related costs in the U.S. Navy's Naval Facilities Engineering Command (NAVFAC) office spaces. The demonstration was one of eight

  4. Alternative Fuel and Advanced Vehicle Tools (AFAVT), AFDC (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-01-01

    The Alternative Fuels and Advanced Vehicles Web site offers a collection of calculators, interactive maps, and informational tools to assist fleets, fuel providers, and others looking to reduce petroleum consumption in the transportation sector.

  5. 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.

  6. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (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 ...

  7. Fuel Tables.indd

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

    : Jet fuel consumption, price, and expenditure estimates, 2014 State Jet fuel a Consumption Prices Expenditures Thousand barrels Trillion Btu Dollars per million Btu Million ...

  8. Top 9 Things You Didn't Know about Alternative Fuel Vehicles...

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

    fuels in production or under development with the goal of helping to cut our domestic oil consumption and potentially reduce vehicle emissions. 8. Thinking about buying an...

  9. Solid oxide fuel cells having porous cathodes infiltrated with oxygen-reducing catalysts

    DOE Patents [OSTI]

    Liu, Meilin; Liu, Ze; Liu, Mingfei; Nie, Lifang; Mebane, David Spencer; Wilson, Lane Curtis; Surdoval, Wayne

    2014-08-12

    Solid-oxide fuel cells include an electrolyte and an anode electrically coupled to a first surface of the electrolyte. A cathode is provided, which is electrically coupled to a second surface of the electrolyte. The cathode includes a porous backbone having a porosity in a range from about 20% to about 70%. The porous backbone contains a mixed ionic-electronic conductor (MIEC) of a first material infiltrated with an oxygen-reducing catalyst of a second material different from the first material.

  10. USVI Makes Headway Toward Goal to Reduce Fossil Fuel 60% by 2025

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

    Oil prices spike to over $145/ barrel and price of electricity exceeds $0.50/kWh in U.S. Virgin Islands (USVI) USVI announces goal to reduce fossil fuel use 60% by 2025 In 3rd most active hurricane season on record, Earl hits USVI Virgin Islands Energy O ce (VIEO) launches Sun Power Loan Program WAPA installs waste heat recovery plant, adding 19 MW of power without burning a single drop of additional oil VIEO awards nearly $1 million to USVI nonpro ts for energy e ciency and renewable energy

  11. Minnesota Company 3M Awarded $3 Million by Energy Department to Reduce Cost of Advanced Fuel Cells

    Broader source: Energy.gov [DOE]

    In support of the Obama Administration's all-of-the-above approach to American energy, the Energy Department today announced the investment of $3 million to 3M Company in St. Paul, Minnesota, to lower the cost of advanced fuel cell systems by developing cost-effective, durable, and highly efficient fuel cell components. The 3-year project will focus on boosting the performance of fuel cell systems for vehicles and stationary applications while driving down costs. These investments are a part of the Department's commitment to U.S. leadership in innovative fuel cell technologies that give American families and businesses more options to cut energy costs and reduce petroleum use.

  12. 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...

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

    Gasoline and Diesel Fuel Update (EIA)

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

  14. Alternative Fuels Data Center (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2013-07-01

    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.

  15. Impact of Real Field Diesel Quality Variability on Engine Emissions and Fuel Consumption Solutions for Onboard Optimisation

    Broader source: Energy.gov [DOE]

    A matrix of 10 diesel fuels was prepared and tested to establish an optimized ECU setting and a compensating algorithm for the engine.

  16. 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...

  17. Potential for the Use of Energy Savings Performance Contracts to Reduce Energy Consumption and Provide Energy and Cost Savings in Non-Building Applications

    SciTech Connect (OSTI)

    Williams, Charles; Green, Andrew S.; Dahle, Douglas; Barnett, John; Butler, Pat; Kerner, David

    2013-08-01

    The findings of this study indicate that potential exists in non-building applications to save energy and costs. This potential could save billions of federal dollars, reduce reliance on fossil fuels, increase energy independence and security, and reduce greenhouse gas emissions. The Federal Government has nearly twenty years of experience with achieving similar energy cost reductions, and letting the energy costs savings pay for themselves, by applying energy savings performance contracts (ESPC) inits buildings. Currently, the application of ESPCs is limited by statute to federal buildings. This study indicates that ESPCs can be a compatible and effective contracting tool for achieving savings in non-building applications.

  18. Improving Vehicle Fuel Efficiency Through Tire Design, Materials, and Reduced Weight

    Broader source: Energy.gov [DOE]

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

  19. Improving Vehicle Fuel Efficiency Through Tire Design, Materials, and Reduced Weight

    Broader source: Energy.gov [DOE]

    2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

  20. Vehicle Technologies Office: Fuel Effects on Advanced Combustion |

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

    Department of Energy Fuel Efficiency & Emissions » Vehicle Technologies Office: Fuel Effects on Advanced Combustion Vehicle Technologies Office: Fuel Effects on Advanced Combustion More than 90 percent of transportation relies on petroleum-based fuels: gasoline and diesel. While alternative fuels and plug-in electric vehicles offer great promise to reduce America's petroleum consumption, petroleum-based fuels are likely to play a substantial role for years to come. However, the sources

  1. Reducing Idle Power Consumption in Office Spaces Saves U.S. Navy in Energy Costs (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2014-04-01

    As part of a two-year project to demonstrate energy efficiency measures, renewable energy generation, and energy systems integration, the National Renewable Energy Laboratory (NREL) has identified advanced plug load controls as a promising technology for reducing energy use and related costs in the U.S. Navy's Naval Facilities Engineering Command (NAVFAC) office spaces.

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

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

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

  3. 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.

  4. 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...

  5. EERE Success Story—Radio Frequency Diesel Particulate Filter Sensor Reduces Fuel Consumption, Wins R&D 100 Award

    Broader source: Energy.gov [DOE]

    Radio Frequency Diesel Particulate Filter Sensor (RF-DPF) is a sensor that uses radio frequencies to measure the amount and distribution of soot and ash in the filters that remove particulate matter from the exhaust of diesel engines.

  6. Development and Validation of a Reduced Reaction Mechanism for Biodiesel-Fueled Engine Simulations- SAE 2008-01-1378

    SciTech Connect (OSTI)

    Brakora, Jessica L; Ra, Youngchul; Reitz, Rolf; McFarlane, Joanna; Daw, C Stuart

    2008-01-01

    In the present study a skeletal chemical reaction mechanism for biodiesel surrogate fuel was developed and validated for multi-dimensional engine combustion simulations. The reduced mechanism was generated from an existing detailed methyl butanoate oxidation mechanism containing 264 species and 1219 reactions. The reduction process included flux analysis, ignition sensitivity analysis, and optimization of reaction rate constants under constant volume conditions. The current reduced mechanism consists of 41 species and 150 reactions and gives predictions in excellent agreement with those of the comprehensive mechanism. In order to validate the mechanism under biodiesel-fueled engine conditions, it was combined with another skeletal mechanism for n-heptane oxidation. This combined reaction mechanism, ERC-Bio, contains 53 species and 156 reactions, which can be used for diesel/biodiesel blend engine simulations. Biodiesel-fueled engine operation was successfully simulated using the ERC-Bio mechanism.

  7. 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

  8. Tennessee: Da Vinci Fuel-in-Oil Reduces Emissions, Wins R&D 100 Award

    Broader source: Energy.gov [DOE]

    Developed jointly by Da Vinci Emissions Services Ltd., Cummins Inc., and Oak Ridge National Laboratory (ORNL), the Da Vinci Fuel-in-Oil (DAFIO) technology uses a fiber optic probe to obtain real-time measurements of oil in an operating engine to quantify the fuel dissolved in the lubricant oil.

  9. Reduced

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

    Reduced intermittency in the magnetic turbulence of reversed field pinch plasmas L. Marrelli and L. Frassinetti Consorzio RFX, Associazione EURATOM-ENEA sulla Fusione, Corso Stati Uniti, 4 35127 Padova, Italy a͒ P. Martin Consorzio RFX, Associazione EURATOM-ENEA sulla Fusione, Corso Stati Uniti, 4 35127 Padova, Italy a͒ and Dipartimento di Fisica G. Galilei, Universitàt di Padova, 35131 Padova, Italy D. Craig and J. S. Sarff Department of Physics and Center for Magnetic Self-Organization in

  10. Dual fuel Russian urban transit buses: Economical reduced emissions. Export trade information

    SciTech Connect (OSTI)

    1998-01-01

    This study, conducted by Caterpillar, was funded by the US Trade and Development Agency. The scope of this project was to examine the financial and environmental aspects of introducing new alternative fuel engines to the buses of Russia`s public transportation system. The report consists of the following: (1) executive summary; (2) background/overview; (3) 3306 design, development, test; (4) electronic governed engines; (5) Moscow bus testing; (6) conclusions; (7) appendices. The appendices include: (1) Caterpillar emissions lab report; (2) dyno tests -- dual fuel data sheets; (3) 3360 horizontal engine lub tilt test; (4) 1000 hour endurance test -- engine operator sheets; (5) 1000 hour endurance test -- 250 hour check; (6) Caterpillar dual fuel electronic engines; (7) product description -- dual fuel electronic governed engines; (8) California Environmental Protection Agency -- certification of caterpillar electronic governed engines; (9) annual payback data.

  11. A comparison of estimates of cost-effectiveness of alternative fuels and vehicles for reducing emissions

    SciTech Connect (OSTI)

    Hadder, G.R.

    1995-11-01

    The cost-effectiveness ratio (CER) is a measure of the monetary value of resources expended to obtain reductions in emissions of air pollutants. The CER can lead to selection of the most effective sequence of pollution reduction options. Derived with different methodologies and technical assumptions, CER estimates for alternative fuel vehicles (AFVs) have varied widely among pervious studies. In one of several explanations of LCER differences, this report uses a consistent basis for fuel price to re-estimate CERs for AFVs in reduction of emissions of criteria pollutants, toxics, and greenhouse gases. The re-estimated CERs for a given fuel type have considerable differences due to non-fuel costs and emissions reductions, but the CERs do provide an ordinal sense of cost-effectiveness. The category with CER less than $5,000 per ton includes compressed natural gas and ed Petroleum gas vehicles; and E85 flexible-fueled vehicles (with fuel mixture of 85 percent cellulose-derived ethanol in gasoline). The E85 system would be much less attractive if corn-derived ethanol were used. The CER for E85 (corn-derived) is higher with higher values placed on the reduction of gas emissions. CER estimates are relative to conventional vehicles fueled with Phase 1 California reformulated gasoline (RFG). The California Phase 2 RFG program will be implemented before significant market penetration by AFVs. CERs could be substantially greater if they are calculated incremental to the Phase 2 RFG program. Regression analysis suggests that different assumptions across studies can sometimes have predictable effects on the CER estimate of a particular AFV type. The relative differences in cost and emissions reduction assumptions can be large, and the effect of these differences on the CER estimate is often not predictable. Decomposition of CERs suggests that methodological differences can make large contributions to CER differences among studies.

  12. The Potential Role of the Thorium Fuel Cycle in Reducing the Radiotoxicity of Long-Lived Waste - 13477

    SciTech Connect (OSTI)

    Hesketh, Kevin; Thomas, Mike

    2013-07-01

    The thorium (or more accurately the Th-232/U-233) fuel cycle is attracting growing interest world wide and one reason for this is the reduced radiotoxicity of long-lived waste, with the Th- 232/U-233 fuel cycle often being justified partly on the grounds of low radiotoxicity for long cooling times. This paper considers the evolution of heavy metal radiotoxicity in a Molten Salt Fast Reactor (MSFR) operating a closed Th-232/U-233 cycle during different operational phases. The paper shows that even in the MSFR core, the equilibrium radiotoxicity of the thorium fuel cycle is only reached after almost 100 years of operation. MSFR was chosen because it has many theoretical advantages that favour the Th-232/U-233 fuel cycle. Conventional solid fuel systems would be expected to behave similarly, but with even longer timescales and therefore the MSFR cycle can be used to define the limits of what is practically achievable. The results are used to argue the case that a fair approach to justifying the Th-232/U-233 breeder cycle should not quote the long term equilibrium radiotoxicity, but rather the somewhat less favourable radiotoxicity that could be achieved within the operational lifetime of the first generation of Th-232/U-233 breeder reactors. (authors)

  13. Fuel Tables.indd

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

    3: Nuclear Energy Consumption, Price, and Expenditure Estimates, 2014 State Nuclear Electric Power Nuclear Fuel Consumption Prices Expenditures Million Kilowatthours Trillion Btu ...

  14. A High-Temperature Fuel Cell to Provide On-Site Process Reducing Gas, Clean Power, and Heat

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

    Ultra-Efficient Combined Heat, Hydrogen, and Power System A High-Temperature Fuel Cell to Provide On-Site Process Reducing Gas, Clean Power, and Heat Introduction In order for metal products to have desired properties, most metal is thermally processed at a high temperature one or more times under a controlled atmosphere. Many different thermal operations are used including oxide reduction, annealing, brazing, sintering, and carburizing. A mixture of hydrogen and nitrogen gas often provides a

  15. 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...

  16. Reducing Our Carbon Footprint: Converting Plants to Fuel (LBNL Science at the Theater)

    ScienceCinema (OSTI)

    Somerville, Chris

    2011-04-28

    Berkeley Lab's Chris Somerville is a leading authority on the structure and function of plant cell walls, which comprise most of the body mass of higher plants. He views the knowledge of cell wall structure and function as furthering the development of plants with improved usefulness: these plants are strong potential sources of renewable materials and biofuel feedstocks. His scientific expertise defines an ideal match of his interest - in the development of cellulosic and other solar-to-fuel science - with his recent appointment as Director of the Energy Biosciences Institute (EBI). With colleagues in biology, physical sciences, engineering, and environmental and the social sciences, he now leads the EBI multidisciplinary teams' research efforts to develop next-generation, carbon-neutral transportation fuels.

  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. A Bimetmallic Fuel-Borne Catalyst for Reduce Precious Metal Use in

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

    Medium-Duty Diesel Engines | Department of Energy 5 Diesel Engine Emissions Reduction (DEER) Conference Presentations and Posters PDF icon 2005_deer_valentine.pdf More Documents & Publications Diesel Particulate Filters: Market Introducution in Europe Improvement and Simplification of Diesel Particulate Filter System using a Ceria-Based Fuel-Borne Catalyst in Serial Applications Retrofit Program of a Euro 1 andn EUro 2 Urban Bus Fleet in La Rochelle: Status after One Year Experience

  1. 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

  2. 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

  3. Fuel Tables.indd

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

    F7: Distillate Fuel Oil Consumption Estimates, 2014 State Residential Commercial ... value less than 0.05. Notes: Distillate fuel oil estimates include biodiesel blended ...

  4. 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.

  5. Reducing Ultra-Clean Transportation Fuel Costs with HyMelt Hydrogen

    SciTech Connect (OSTI)

    Donald P. Malone; William R. Renner

    2006-01-01

    This report describes activities for the thirteenth quarter of work performed under this agreement. EnviRes initiated a wire transfer of funds for procurement of a pressure vessel and associated refractory lining. Phase I of the work to be done under this agreement consisted of conducting atmospheric gasification of coal using the HyMelt technology to produce separate hydrogen rich and carbon monoxide rich product streams. In addition smaller quantities of petroleum coke and a low value refinery stream were gasified. Phase II of the work to be done under this agreement, consists of gasification of the above-mentioned feeds at a gasifier pressure of approximately 5 bar. The results of this work will be used to evaluate the technical and economic aspects of producing ultra-clean transportation fuels using the HyMelt technology in existing and proposed refinery configurations.

  6. Reducing Ultra-Clean Transportation Fuel Costs with HyMelt Hydrogen

    SciTech Connect (OSTI)

    Donald P. Malone; William R. Renner

    2006-04-01

    Phase I of the work to be done under this agreement consisted of conducting atmospheric gasification of coal using the HyMelt technology to produce separate hydrogen rich and carbon monoxide rich product streams. In addition smaller quantities of petroleum coke and a low value refinery stream were gasified. Phase II of the work to be done under this agreement, consists of gasification of the above-mentioned feeds at a gasifier pressure of approximately 5 bar. The results of this work will be used to evaluate the technical and economic aspects of producing ultra-clean transportation fuels using the HyMelt technology in existing and proposed refinery configurations. This report describes activities for the thirteenth quarter of work performed under this agreement. MEFOS, the gasification testing subcontractor, reported to EnviRes that they were having difficulty with refractory vendors meeting specifications for the lining of the pressure vessel. EnviRes is working to resolve this issue.

  7. Fuels

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

    Fueling the Next Generation of Vehicle Technology Fueling the Next Generation of Vehicle Technology February 6, 2013 - 11:20am Addthis Professor Jack Brouwer, Associate Director and Chief Technology Officer of the National Fuel Cell Research Center, points out the tri-generation facility that uses biogas from Orange County Sanitation District’s wastewater treatment plant to produce hydrogen, heat and power. | Photo courtesy of the Energy Department. Professor Jack Brouwer, Associate

  8. Reducing Ultra-Clean Transportation Fuel Costs with HyMelt Hydrogen

    SciTech Connect (OSTI)

    Donald P. Malone; William R. Renner

    2006-09-30

    This report describes activities for the sixteenth quarter of work performed under this agreement. MEFOS, the gasification testing subcontractor, reported to EnviRes that the vendor for the pressure vessel for above atmospheric testing now plans to deliver it by November 20, 2006 instead of October 20, 2006 as previously reported. MEFOS performed a hazardous operation review of pressurized testing. The current schedule anticipates above atmospheric pressure testing to begin during the week of April 16, 2007. Phase I of the work to be done under this agreement consisted of conducting atmospheric gasification of coal using the HyMelt technology to produce separate hydrogen rich and carbon monoxide rich product streams. In addition smaller quantities of petroleum coke and a low value refinery stream were gasified. Phase II of the work to be done under this agreement, consists of gasification of the above-mentioned feeds at a gasifier pressure of approximately 3 bar. The results of this work will be used to evaluate the technical and economic aspects of producing ultra-clean transportation fuels using the HyMelt technology in existing and proposed refinery configurations.

  9. A reduced temperature solid oxide fuel cell with three-dimensionally ordered macroporous cathode

    SciTech Connect (OSTI)

    Liang, B.; Suzuki, T.; Hamamoto, K.; Yamaguchi, T.; Sumi, H.; Fujishiro, Y.; Ingram, B. J.; Carter, J. D.

    2012-01-01

    Three-dimensionally ordered macroporous cathode was fabricated for a zirconia based micro-tubular solid oxide fuel cells (SOFCs). Three different cathodes (cathode A, no pore former; cathode B, with pore former (1.5 {micro}m in diameter); cathode C, with pore former (0.8 {micro}m in diameter)) were compared to investigate how the microstructure of it affected the cell performance at various operating temperatures. Micro-sized pores were well distributed within cathode B and C. The total porosity of cathode A is 35%, while it respectively reached 42 and 50% for cathodes B and C. At the same time, the specific surface area of them was 28.8 and 52.0% larger than that of the cathode A. As a result, the peak power density of the zirconia based cell, with cathode C, was 0.25 and 0.56 W cm{sup -2} at 550 and 600 C, while the respective value was just 0.11 and 0.30 W cm{sup -2} for the cell with cathode A. Thus, optimizing microstructure of cathode should be one of the best approaches for lowering the operating temperature for SOFCs.

  10. 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,...

  11. 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,...

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

    Office of Scientific and Technical Information (OSTI)

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

  13. Influence of solid fuel on the carbon-monoxide and nitrogen-oxide emissions on sintering

    SciTech Connect (OSTI)

    M.F. Vitushchenko; N.L. Tatarkin; A.I. Kuznetsov; A.E. Vilkov

    2007-07-01

    Laboratory and industrial research now underway at the sintering plant of AO Mittal Steel Temirtau is focusing on the preparation of fuel of optimal granulometric composition, the replacement of coke fines, and the adaptation of fuel-input technology so as to reduce fuel consumption and toxic emissions without loss of sinter quality.

  14. 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

  15. 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

  16. Alternative Fuels Data Center

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    State Plan to Reduce Petroleum Consumption The Governor's Office of Energy Independence and Security developed the Comprehensive Energy Action Plan in response to Public Law 656, 2008, in an effort to advance the principles, the programs and the integrated plans necessary to secure a safe, clean and affordable energy future for the citizens of Maine. The updated plan, published in February 2015, notes that Maine is not in the position to independently fund alternative fuel stations, mainly due

  17. Green Means Go for Hybrid and Alternative Fuel Taxis | Department of Energy

    Energy Savers [EERE]

    Means Go for Hybrid and Alternative Fuel Taxis Green Means Go for Hybrid and Alternative Fuel Taxis August 24, 2010 - 7:30am Addthis Shannon Brescher Shea Communications Manager, Clean Cities Program The taxi, the icon of the bustling city, is getting a makeover. Cities nationwide are encouraging taxi fleets to turn over a new leaf and reduce their petroleum consumption. As taxis average more than 55,000 miles a year, reducing one taxi's gasoline consumption can make a big difference.

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

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

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

  19. Synthetic Fuel

    ScienceCinema (OSTI)

    Idaho National Laboratory - Steve Herring, Jim O'Brien, Carl Stoots

    2010-01-08

    Two global energy priorities today are finding environmentally friendly alternatives to fossil fuels, and reducing greenhouse gass Two global energy priorities today are finding environmentally friendly alternatives to fossil fuels, and reducing greenhous

  20. EERE Success Story—Tennessee: Da Vinci Fuel-in-Oil Reduces Emissions, Wins R&D 100 Award

    Broader source: Energy.gov [DOE]

    Developed jointly by Da Vinci Emissions Services Ltd., Cummins Inc., and Oak Ridge National Laboratory (ORNL), the Da Vinci Fuel-in-Oil (DAFIO™) technology uses a fiber optic probe to obtain real-time measurements of oil in an operating engine to quantify the fuel dissolved in the lubricant oil.

  1. US ENC IL Site Consumption

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

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

  2. US ENC MI Site Consumption

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

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

  3. Fuel Tables.indd

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

    F9: Residual Fuel Oil Consumption Estimates, 2014 State Commercial Industrial Transportation Electric Power Total Commercial Industrial Transportation Electric Power Total Thousand ...

  4. Hydrogen Fueling Station in Honolulu, Hawaii Feasibility Analysis

    SciTech Connect (OSTI)

    Porter Hill; Michael Penev

    2014-08-01

    The Department of Energy Hydrogen & Fuel Cells Program Plan (September 2011) identifies the use of hydrogen for government and fleet electric vehicles as a key step for achieving “reduced greenhouse gas emissions; reduced oil consumption; expanded use of renewable power …; highly efficient energy conversion; fuel flexibility …; reduced air pollution; and highly reliable grid-support.” This report synthesizes several pieces of existing information that can inform a decision regarding the viability of deploying a hydrogen (H2) fueling station at the Fort Armstrong site in Honolulu, Hawaii.

  5. 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) developed the Renewable Fuels Standard (RFS) under the Energy Policy Act of 2005. The RFS specifies targets for the amount of renewable fuel to be blended into petroleum based transportation fuels. The goal is to blend 36 billion gallons of renewable fuels into transportation fuels by 2022 (9 billion gallons were blended in 2008). The RFS also requires that the renewable fuels emit fewer greenhouse gasses than the petroleum fuels replaced. Thus the goal of the EPA is to have a more fuel efficient national fleet, less dependent on petroleum based fuels. The limit to the implementation of certain technologies employed was the requirement to run the developed powertrain on gasoline with minimal performance degradation. The addition of ethanol to gasoline fuels improves the fuels octane rating and increases the fuels evaporative cooling. Both of these fuel property enhancements make gasoline / ethanol blends more suitable than straight gasoline for use in downsized engines or engines with increased compression ratio. The use of engine downsizing and high compression ratios as well as direct injection (DI), dual independent cam phasing, external EGR, and downspeeding were fundamental to the fuel economy improvements targeted in this project. The developed powertrain specification utilized the MAHLE DI3 gasoline downsizing research engine. It was a turbocharged, intercooled, DI engine with dual independent cam phasing utilizing a compression ratio of 11.25 : 1 and a 15% reduction in final drive ratio. When compared to a gasoline fuelled 2.2L Ecotec engine in a Chevrolet HHR, vehicle drive cycle predictions indicate that the optimized powertrain operating on E85 would result in a reduced volume based drive cycle fuel economy penalty of 6% compared to an approximately 30% penalty for current technology engines.

  6. US MidAtl NY Site Consumption

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

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

  7. 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...

  8. 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...

  9. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Petroleum Use Reduction Vehicles Program Vehicles AFVs and HEVs Fuel Consumption and ... Source: National Renewable Energy Laboratory, at Alternative Fuel Data Center (AFDC) This ...

  10. Improved System Performance and Reduced Cost of a Fuel Reformer, LNT, and SCR Aftertreatment System Meeting Emissions Useful Life Requirement

    Broader source: Energy.gov [DOE]

    An advanced exhaust aftertreatment system developed to meet EPA 2010 and final Tier 4 emission regulations show substantial improvements in system performance while reducing system cost

  11. 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 54 results Fuel Trends -

  12. Protecting Public Health through Cleaner Fuels and Lower Emissions

    Broader source: Energy.gov [DOE]

    Reuben Sarkar, the Energy Department’s (DOE’s) Deputy Assistant Secretary for Sustainable Transportation, will take part in an Environmental and Energy Study Institute panel on the health and environmental benefits of cleaner octane sources in fuel, “Protecting Public Health through Cleaner Fuels and Lower Emissions.” Mr. Sarkar will speak on DOE’s Co-Optimization of Fuels and Engines (Co-Optima) program; this multi-year initiative aims to reduce petroleum consumption by 30% beyond currently mandated engine efficiency measures by 2030 through the co-optimization of new advanced high octane fuels and engines.

  13. Home Energy Management Systems and Reduced Consumption

    Office of Energy Efficiency and Renewable Energy (EERE)

    This presentation was given at the Summer 2012 DOE Building America meeting on July 25, 2012, and addressed the question "What emerging innovations are the key to future homes?"

  14. New York: Weatherizing Westbeth Reduces Energy Consumption

    Broader source: Energy.gov [DOE]

    Project provides energy savings and the improved health and safety of the residents within the building.

  15. New York: Weatherizing Westbeth Reduces Energy Consumption |...

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

    ... 517.8 Million in Weatherization Funding and Energy Efficiency Grants for New York One Sky Homes, San Jose, CA, Custom Builder, Grand Award Winner. | California prides itself on ...

  16. Federal Energy and Water Management Award Winner 22nd Operations Group Fuel

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

    Efficiency Office | Department of Energy 22nd Operations Group Fuel Efficiency Office Federal Energy and Water Management Award Winner 22nd Operations Group Fuel Efficiency Office PDF icon fewm13_mcconnellafb_highres.pdf PDF icon fewm13_mcconnellafb.pdf More Documents & Publications Air Force Achieves Fuel Efficiency through Industry Best Practices Potential for the Use of Energy Savings Performance Contracts to Reduce Energy Consumption and Provide Energy and Cost Savings in

  17. Volatility of Gasoline and Diesel Fuel Blends for Supercritical Fuel Injection

    Broader source: Energy.gov [DOE]

    Supercritical dieseline could be used in diesel engines having efficient fuel systems and combustion chamber designs that decrease fuel consumption and mitigate emissions.

  18. NREL: Transportation Research - NREL Study Predicts Fuel and Emissions

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

    Impact of Automated Mobility District Study Predicts Fuel and Emissions Impact of Automated Mobility District January 21, 2016 With emerging technologies, travel behavior may shift from personal vehicles to automated transit systems. An NREL study shows that a campus-sized -- ranging from four to 10 square miles -- automated mobility district (AMD) has the potential to reduce fuel consumption and greenhouse gas emissions by 4% to 14% depending on various operating and ridership factors.

  19. Woolen mill captures exhaust to cut fuel costs

    SciTech Connect (OSTI)

    Not Available

    1986-02-01

    To keep ahead of growing competition, a northeast woolen mill sought a method of reducing fuel costs while increasing production. A counterflow-design plate heat exchanger was employed to recirculate dryer exhaust. It has cut propane consumption from 4900 to 2400 gallons a week while design modifications have doubled dryer speed. The heat recovery system is described.

  20. Extended Platinum Nanotubes as Fuel Cell Catalysts

    SciTech Connect (OSTI)

    Alia, S.; Pivovar, B. S.; Yan, Y.

    2012-01-01

    Energy consumption has relied principally on fossil fuels as an energy source; fuel cells, however, can provide a clean and sustainable alternative, an answer to the depletion and climate change concerns of fossil fuels. Within proton exchange membrane fuel cells, high catalyst cost and poor durability limit the commercial viability of the device. Recently, platinum nanotubes (PtNTs) were studied as durable, active catalysts, providing a platform to meet US Department of Energy vehicular activity targets.[1] Porous PtNTs were developed to increase nanotube surface area, improving mass activity for oxygen reduction without sacrificing durability.[2] Subsurface platinum was then replaced with palladium, forming platinum-coated palladium nanotubes.[3] By forming a core shell structure, platinum utilization was increased, reducing catalyst cost. Alternative substrates have also been examined, modifying platinum surface facets and increasing oxygen reduction specific activity. Through modification of the PtNT platform, catalyst limitations can be reduced, ensuring a commercially viable device.

  1. 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.

  2. Cost and Quality of Fuels for Electric Plants - Energy Information...

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

    (consumption), revenue, prices & customers Generation and thermal output Electric power plants generating capacity Consumption of fuels used to generate electricity Receipts of ...

  3. 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...

  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. 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.

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

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

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

  7. A reduced mechanism for methane and one-step rate expressions for fuel-lean catalytic combustion of small alkanes on noble metals

    SciTech Connect (OSTI)

    Deshmukh, S.R.; Vlachos, D.G.

    2007-06-15

    A reduced mechanism and a one-step rate expression for fuel-lean methane/air catalytic combustion on an Rh catalyst are proposed. These are developed from a detailed microkinetic model using a computer-aided model reduction strategy that employs reaction path analysis, sensitivity analysis, partial equilibrium analysis, and simple algebra to deduce the most abundant reaction intermediate and the rate-determining step. The mechanism and the one-step rate expression are then tested on Pt catalyst. It is found that the reaction proceeds effectively via the same mechanistic pathway on both noble metals, but the effective reaction orders differ due to the difference in the adsorption strength of oxygen. Based on the homologous series idea, the rate expression is extended to small alkanes (ethane and propane; butane is also briefly discussed) and is found to reasonably describe experimental data. Estimation of the relevant parameters in the rate expression for various fuels and catalysts using the semiempirical bond-order conservation theory, quantum mechanical density functional theory, and/or simple experiments is discussed. Finally, it is proposed that detailed microkinetic models with coverage-dependent parameters can assist in rationalizing the apparent discrepancies between experimental data from various research groups. (author)

  8. Assessment for advanced fuel cycle options in CANDU

    SciTech Connect (OSTI)

    Morreale, A.C.; Luxat, J.C.; Friedlander, Y.

    2013-07-01

    The possible options for advanced fuel cycles in CANDU reactors including actinide burning options and thorium cycles were explored and are feasible options to increase the efficiency of uranium utilization and help close the fuel cycle. The actinide burning TRUMOX approach uses a mixed oxide fuel of reprocessed transuranic actinides from PWR spent fuel blended with natural uranium in the CANDU-900 reactor. This system reduced actinide content by 35% and decreased natural uranium consumption by 24% over a PWR once through cycle. The thorium cycles evaluated used two CANDU-900 units, a generator and a burner unit along with a driver fuel feedstock. The driver fuels included plutonium reprocessed from PWR, from CANDU and low enriched uranium (LEU). All three cycles were effective options and reduced natural uranium consumption over a PWR once through cycle. The LEU driven system saw the largest reduction with a 94% savings while the plutonium driven cycles achieved 75% savings for PWR and 87% for CANDU. The high neutron economy, online fuelling and flexible compact fuel make the CANDU system an ideal reactor platform for many advanced fuel cycles.

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

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

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

  10. Large Scale U.S. Unconventional Fuels Production and the Role of Carbon Dioxide Capture and Storage Technologies in Reducing Their Greenhouse Gas Emissions

    SciTech Connect (OSTI)

    Dooley, James J.; Dahowski, Robert T.

    2008-11-18

    This paper examines the role that carbon dioxide capture and storage technologies could play in reducing greenhouse gas emissions if a significant unconventional fuels industry were to develop within the United States. Specifically, the paper examines the potential emergence of a large scale domestic unconventional fuels industry based on oil shale and coal-to-liquids (CTL) technologies. For both of these domestic heavy hydrocarbon resources, this paper models the growth of domestic production to a capacity of 3 MMB/d by 2050. For the oil shale production case, we model large scale deployment of an in-situ retorting process applied to the Eocene Green River formation of Colorado, Utah, and Wyoming where approximately 75% of the high grade oil shale resources within the United States lies. For the CTL case, we examine a more geographically dispersed coal-based unconventional fuel industry. This paper examines the performance of these industries under two hypothetical climate policies and concludes that even with the wide scale availability of cost effective carbon dioxide capture and storage technologies, these unconventional fuels production industries would be responsible for significant increases in CO2 emissions to the atmosphere. The oil shale production facilities required to produce 3MMB/d would result in net emissions to the atmosphere of between 3000-7000 MtCO2 in addition to storing potentially 1000 to 5000 MtCO2 in regional deep geologic formations in the period up to 2050. A similarly sized domestic CTL industry could result in 4000 to 5000 MtCO2 emitted to the atmosphere in addition to potentially 21,000 to 22,000 MtCO2 stored in regional deep geologic formations over the same period up to 2050. Preliminary analysis of regional CO2 storage capacity in locations where such facilities might be sited indicates that there appears to be sufficient storage capacity, primarily in deep saline formations, to accommodate the CO2 from these industries. However, additional analyses plus detailed regional and site characterization is needed, along with a closer examination of competing storage demands.

  11. Market penetration scenarios for fuel cell vehicles

    SciTech Connect (OSTI)

    Thomas, C.E.; James, B.D.; Lomax, F.D. Jr.

    1997-12-31

    Fuel cell vehicles may create the first mass market for hydrogen as an energy carrier. Directed Technologies, Inc., working with the US Department of Energy hydrogen systems analysis team, has developed a time-dependent computer market penetration model. This model estimates the number of fuel cell vehicles that would be purchased over time as a function of their cost and the cost of hydrogen relative to the costs of competing vehicles and fuels. The model then calculates the return on investment for fuel cell vehicle manufacturers and hydrogen fuel suppliers. The model also projects the benefit/cost ratio for government--the ratio of societal benefits such as reduced oil consumption, reduced urban air pollution and reduced greenhouse gas emissions to the government cost for assisting the development of hydrogen energy and fuel cell vehicle technologies. The purpose of this model is to assist industry and government in choosing the best investment strategies to achieve significant return on investment and to maximize benefit/cost ratios. The model can illustrate trends and highlight the sensitivity of market penetration to various parameters such as fuel cell efficiency, cost, weight, and hydrogen cost. It can also illustrate the potential benefits of successful R and D and early demonstration projects. Results will be shown comparing the market penetration and return on investment estimates for direct hydrogen fuel cell vehicles compared to fuel cell vehicles with onboard fuel processors including methanol steam reformers and gasoline partial oxidation systems. Other alternative fueled vehicles including natural gas hybrids, direct injection diesels and hydrogen-powered internal combustion hybrid vehicles will also be analyzed.

  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. Alternative Fuels Data Center

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    reduction in petroleum-based fuel consumption by 15% (or 7.5% for exempt vehicles) by ... towards these goals. The Colorado Energy Office will work with state agencies and ...

  14. 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(11)

  15. Power consumption monitoring using additional monitoring device

    SciTech Connect (OSTI)

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

    2013-11-13

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

  16. Vehicle Fuel Consumption of Natural Gas (Summary)

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

    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 1988-2015 Arkansas 16 21 21 27 31 28 1988-2015 California 13,572 14,660 14,671 14,121 16,581 16,467 1988-2015 Colorado 249 282 281 269 316 314 1988-2015 Connecticut 41 27 27 46 54 44 1988-2015 Delaware 1 1 1 1 1 1 1988-2015 District of Columbia 883 879 870 861 1,011 993 1988-2015 Florida 60 84 84 175 206 159 1988-2015 Georgia

  17. Natural Gas Lease and Plant Fuel Consumption

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

    132,080 134,757 130,374 133,976 134,320 127,472 198

  18. Table 3.3 Fuel Consumption, 2002

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

    " " "," ",," "," ",," "," ",," ","RSE" "Economic",,"Net","Residual","Distillate","Natural ... "of the Census, data files for the '2002 Economic Census, Manufacturing - Industry ...

  19. Table 3.3 Fuel Consumption, 2010;

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

    Energy Sources; Unit: Trillion Btu. Economic Net Residual Distillate LPG and Coke and ... Energy Sources; Unit: Trillion Btu. Economic Net Residual Distillate LPG and Coke and ...

  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. 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 1,581,271 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

  2. 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...

  3. Vehicle Fuel Consumption of Natural Gas (Summary)

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

    2,900 2,996 2,900 2,996 3,329 3,007 1997-2016 Alabama 18 19 18 19 21 19 2010-2016 Alaska 1 1 1 1 1 1 2010-2016 Arizona 167 173 167 173 192 173 2010-2016 Arkansas 3 3 3 3 3 3 2010-2016 California 1,363 1,408 1,363 1,408 1,565 1,413 2010-2016 Colorado 26 27 26 27 30 27 2010-2016 Connecticut 4 5 4 5 5 5 2010-2016 Delaware 0 0 0 0 0 0 2010-2016 District of Columbia 83 86 83 86 95 86 2010-2016 Florida 17 18 17 18 19 18 2010-2016 Georgia 96 99 96 99 111 100 2010-2016 Hawaii 1 1 1 1 1 1 2010-2016 Idaho

  4. Table 3.1 Fuel Consumption, 2010;

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

    52 2,673 * * 22 * 0 0 18 325193 Ethyl Alcohol 307 7,392 0 * 245 * 1 0 4 325199 Other ... 7 160 * * 5 * 0 0 * 325193 Ethyl Alcohol 2 69 0 * 2 * 0 0 0 325199 Other Basic ...

  5. Table 3.2 Fuel Consumption, 2010;

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

    52 9 2 * 22 * 0 0 18 325193 Ethyl Alcohol 307 25 0 * 252 * 25 0 4 325199 Other ... 7 1 1 * 5 * 0 0 * 325193 Ethyl Alcohol 2 * 0 * 2 * 0 0 0 325199 Other Basic ...

  6. Fuel Economy Improvement Potential of a Heavy Duty Truck using V2x Communication

    SciTech Connect (OSTI)

    LaClair, Tim J; Verma, Rajeev; Norris, Sarah; Cochran, Robert

    2014-01-01

    In this paper, we introduce an intelligent driver assistance system to reduce fuel consumption in heavy duty vehicles irrespective of the driving style of the driver. We specifically study the potential of V2I and V2V communications to reduce fuel consumption in heavy duty trucks. Most ITS communications today are oriented towards vehicle safety, with communications strategies and hardware that tend to focus on low latency. This has resulted in technologies emerging with a relatively limited range for the communications. For fuel economy, it is expected that most benefits will be derived with greater communications distances, at the scale of many hundred meters or several kilometers, due to the large inertia of heavy duty vehicles. It may therefore be necessary to employ different communications strategies for ITS applications aimed at fuel economy and other environmental benefits than what is used for safety applications in order to achieve the greatest benefits.

  7. 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 -

  8. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Petroleum Use 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 5 results

  9. Operational and environmental benefits of oxy-fuel combustion in the steel industry

    SciTech Connect (OSTI)

    Farrell, L.M. ); Pavlack, T.T. . Linde Division); Rich, L. )

    1993-07-01

    A number of patented, field-tested 100% oxy-fuel burner systems have been developed which provide fuel savings, reduced emissions (CO[sub 2] and NO[sub x]) and improved operational performances. These systems can be applied to high-temperature continuous and batch reheat furnaces, soaking pits and ladle preheaters. Fuel consumption and carbon dioxide and NO[sub x] emissions can be reduced by 40 to 60%. Burner design (including nonwater cooled models), commercial experience, measured and projected emissions reductions, and additional operating benefits associated with new and retrofitted applications are described.

  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. Alternative Fuels Data Center

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Eligible vehicles must be designated for public transportation use and significantly reduce energy consumption or harmful emissions compared to a comparable standard vehicle. For ...

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

    Gasoline and Diesel Fuel Update (EIA)

    Renewable & Alternative Fuels Glossary › FAQS › Overview Data Summary Biomass Geothermal Hydropower Solar Wind Alternative transportation fuels All renewable & alternative fuels data reports Analysis & Projections Major Topics Most popular Alternative Fuels Capacity and generation Consumption Environment Industry Characteristics Prices Production Projections Recurring Renewable energy type All reports Browse by Tag Alphabetical Frequency Tag Cloud ‹ See all Renewable Reports

  13. National Lighting Energy Consumption

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

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

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

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

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

  15. Alternative Fuels Data Center

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Clean Transportation Fuel Standards The Oregon Department of Environmental Quality (DEQ) administers the Oregon Clean Fuels Program (Program), which requires fuel producers and importers to register and keep records of and report the volumes and carbon intensities of the fuels they provide in Oregon. DEQ adopted rules for the next phase of the Program, effective February 1, 2015, requiring fuel suppliers to reduce the carbon content of transportation fuels. For more information, see the DEQ

  16. Clean Cities Guide to Alternative Fuel Commercial Lawn Equipment...

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Alternative fuel mowers are one way to reduce the energy and environmental impacts of ... extend mower life, reduce fuel spillage and fuel theft, and promote a "green" image. ...

  17. Cost-Optimal Pathways to 75% Fuel Reduction in Remote Alaskan Villages

    SciTech Connect (OSTI)

    Simpkins, Travis; Cutler, Dylan; Hirsch, Brian; Olis, Dan; Anderson, Kate

    2015-08-01

    There are thousands of isolated, diesel-powered microgrids that deliver energy to remote communities around the world at very high energy costs. The Remote Communities Renewable Energy program aims to help these communities reduce their fuel consumption and lower their energy costs through the use of high penetration renewable energy. As part of this program, the REopt modeling platform for energy system integration and optimization was used to analyze cost-optimal pathways toward achieving a combined 75% reduction in diesel fuel and fuel oil consumption in a select Alaskan village. In addition to the existing diesel generator and fuel oil heating technologies, the model was able to select from among wind, battery storage, and dispatchable electric heaters to meet the electrical and thermal loads. The model results indicate that while 75% fuel reduction appears to be technically feasible it may not be economically viable at this time. When the fuel reduction target was relaxed, the results indicate that by installing high-penetration renewable energy, the community could lower their energy costs by 21% while still reducing their fuel consumption by 54%.

  18. Cost-Optimal Pathways to 75% Fuel Reduction in Remote Alaskan Villages: Preprint

    SciTech Connect (OSTI)

    Simpkins, Travis; Cutler, Dylan; Hirsch, Brian; Olis, Dan; Anderson, Kate

    2015-10-28

    There are thousands of isolated, diesel-powered microgrids that deliver energy to remote communities around the world at very high energy costs. The Remote Communities Renewable Energy program aims to help these communities reduce their fuel consumption and lower their energy costs through the use of high penetration renewable energy. As part of this program, the REopt modeling platform for energy system integration and optimization was used to analyze cost-optimal pathways toward achieving a combined 75% reduction in diesel fuel and fuel oil consumption in a select Alaskan village. In addition to the existing diesel generator and fuel oil heating technologies, the model was able to select from among wind, battery storage, and dispatchable electric heaters to meet the electrical and thermal loads. The model results indicate that while 75% fuel reduction appears to be technically feasible it may not be economically viable at this time. When the fuel reduction target was relaxed, the results indicate that by installing high-penetration renewable energy, the community could lower their energy costs by 21% while still reducing their fuel consumption by 54%.

  19. Improving Vehicle Efficiency, Reducing Dependence on Foreign Oil (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-03-01

    This fact sheet provides an overview of the U.S. Department of Energy's Vehicle Technologies Program. Today, the United States spends about $400 billion each year on imported oil. To realize a secure energy future, America must break its dependence on imported oil and its volatile costs. The transportation sector accounts for about 70% of U.S. oil demand and holds tremendous opportunity to increase America's energy security by reducing oil consumption. That's why the U.S. Department of Energy (DOE) conducts research and development (R and D) on vehicle technologies which can stem America's dependence on oil, strengthen the economy, and protect the environment. Hybrid-electric and plug-in hybrid-electric vehicles can significantly improve fuel economy, displacing petroleum. Researchers are making batteries more affordable and recyclable, while enhancing battery range, performance, and life. This research supports President Obama's goal of putting 1 million electric vehicles on the road by 2015. The program is also working with businesses to develop domestic battery and electric-drive component plants to improve America's economic competitiveness globally. The program facilitates deployment of alternative fuels (ethanol, biodiesel, hydrogen, electricity, propane, and natural gas) and fuel infrastructures by partnering with state and local governments, universities, and industry. Reducing vehicle weight directly improves vehicle efficiency and fuel economy, and can potentially reduce vehicle operating costs. Cost-effective, lightweight, high-strength materials can significantly reduce vehicle weight without compromising safety. Improved combustion technologies and optimized fuel systems can improve near-and mid-term fuel economy by 25% for passenger vehicles and 20% for commercial vehicles by 2015, compared to 2009 vehicles. Reducing the use of oil-based fuels and lubricants in vehicles has more potential to improve the nation's energy security than any other action; even a 1% improvement in vehicle fuel efficiency would save consumers more than $4 billion annually.

  20. All Consumption Tables.vp

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

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

  1. Table 1.3 Primary Energy Consumption Estimates by Source, 1949...

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

    3 Primary Energy Consumption Estimates by Source, 1949-2011 (Quadrillion Btu) Year Fossil Fuels Nuclear Electric Power Renewable Energy 1 Electricity Net Imports 3 Total Coal Coal ...

  2. State energy data report 1996: Consumption estimates

    SciTech Connect (OSTI)

    1999-02-01

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

  3. Motor vehicle fuel economy, the forgotten HC control stragegy. [Hydrocarbon (HC)

    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.

  4. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Petroleum Use Reduction Vehicles Program Vehicles AFVs and HEVs Fuel Consumption and ... The state zoom function summarizes state energy use and infrastructure for traditional and ...

  5. Alternative Fuels Data Center: Mississippi Transportation Data...

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Gasoline Diesel Propane Natural Gas Transportation Fuel Consumption Source: State Energy Data System based on beta data converted to gasoline gallon equivalents of petroleum (GGEs) ...

  6. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Petroleum Use Reduction Vehicles Program Vehicles AFVs and HEVs Fuel Consumption and ... Source: National Renewable Energy Laboratory's EPAct Task Under the Energy Policy Act of ...

  7. Alternative Fuels Data Center: Tennessee Transportation Data...

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    ... Gasoline Diesel Propane Natural Gas Electricity Transportation Fuel Consumption Source: State Energy Data System based on beta data converted to gasoline gallon equivalents of ...

  8. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    analysis tools for renewable energy developed at the National Renewable Energy Laboratory. ... Generatedthumb20140812-2498-10dls5b Estimated Consumption of Alternative Fuels by AFVs ...

  9. Alternative Fuels Data Center: Massachusetts Transportation Data...

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    ... Gasoline Diesel Propane Natural Gas Electricity Transportation Fuel Consumption Source: State Energy Data System based on beta data converted to gasoline gallon equivalents of ...

  10. Clean Cities Guide to Alternative Fuel Commercial Lawn Equipment (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2011-10-01

    Guide explains the different types of alternative fuel commercial mowers and lists the makes and models of the ones available on the market. Turf grass is a fixture of the American landscape and the American economy. It is the nation's largest irrigated crop, covering more than 40 million acres. Legions of lawnmowers care for this expanse during the growing season-up to year-round in the warmest climates. The annual economic impact of the U.S. turf grass industry has been estimated at more than $62 billion. Lawn mowing also contributes to the nation's petroleum consumption and pollutant emissions. Mowers consume 1.2 billion gallons of gasoline annually, about 1% of U.S. motor gasoline consumption. Commercial mowing accounts for about 35% of this total and is the highest-intensity use. Large property owners and mowing companies cut lawns, sports fields, golf courses, parks, roadsides, and other grassy areas for 7 hours per day and consume 900 to 2,000 gallons of fuel annually depending on climate and length of the growing season. In addition to gasoline, commercial mowing consumes more than 100 million gallons of diesel annually. Alternative fuel mowers are one way to reduce the energy and environmental impacts of commercial lawn mowing. They can reduce petroleum use and emissions compared with gasoline- and diesel-fueled mowers. They may also save on fuel and maintenance costs, extend mower life, reduce fuel spillage and fuel theft, and promote a 'green' image. And on ozone alert days, alternative fuel mowers may not be subject to the operational restrictions that gasoline mowers must abide by. To help inform the commercial mowing industry about product options and potential benefits, Clean Cities produced this guide to alternative fuel commercial lawn equipment. Although the guide's focus is on original equipment manufacturer (OEM) mowers, some mowers can be converted to run on alternative fuels. For more information about propane conversions. This guide may be particularly helpful for organizations that are already using alternative fuels in their vehicles and have an alternative fuel supply or electric charging in place (e.g., golf cart charging stations at most golf courses). On the flip side, experiencing the benefits of using alternative fuels in mowing equipment may encourage organizations to try them in on-road vehicles as well. Whatever the case, alternative fuel commercial lawnmowers are a powerful and cost-effective way to reduce U.S. petroleum dependence and help protect the environment.

  11. Coal liquefaction process wherein jet fuel, diesel fuel and/or ASTM No. 2 fuel oil is recovered

    DOE Patents [OSTI]

    Bauman, Richard F.; Ryan, Daniel F.

    1982-01-01

    An improved process for the liquefaction of coal and similar solid carbonaceous materials wherein a hydrogen donor solvent or diluent derived from the solid carbonaceous material is used to form a slurry of the solid carbonaceous material and wherein the naphthenic components from the solvent or diluent fraction are separated and used as jet fuel components. The extraction increases the relative concentration of hydroaromatic (hydrogen donor) components and as a result reduces the gas yield during liquefaction and decreases hydrogen consumption during said liquefaction. The hydrogenation severity can be controlled to increase the yield of naphthenic components and hence the yield of jet fuel and in a preferred embodiment jet fuel yield is maximized while at the same time maintaining solvent balance.

  12. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    ... Trend of transportation and residential energy expenditures from 1970-2010 Last update ... between fuel economy and lifetime fuel consumption for LDVs from 8mpg to 120mpg Last ...

  13. 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.

  14. CSV File Documentation: Consumption

    Gasoline and Diesel Fuel Update (EIA)

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

  15. ,"Total Natural Gas Consumption

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

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

  16. Office Buildings - Energy Consumption

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

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

  17. TransAtlas: A U.S. Map of Fuels and Vehicles Data from the Alternative Fuels and Advanced Vehicles (AFDC)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Data stored in the Alternative Fuels and Advanced Vehicles Data Center (AFDC) can provide insight to policymakers, entrepreneurs, fuel users, and other parties interested in reducing petroleum consumption. The National Renewable Energy Laboratory analyzes transportation-related data and identifies trends related to alternative fuels and vehicles. These analyses are posted in the AFDC as technical reports and Excel spreadsheets that can be manipulated by outside users. To provide the most robust collection of information possible, this section also includes links to data analyses from outside the AFDC. These sources are noted in each file. There are also interactive map applications and some PDF documents.

  18. 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 in an accelerated rate of utilization of the nations CO2 storage resource, leaving less high-quality storage capacity for other carbon-producing industries including electric power generation.

  19. Clean Cities: Building Partnerships to Reduce Petroleum Use in Transportation (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2012-03-01

    This fact sheet provides an overview of the U.S. Department of Energy's Clean Cities program, which builds partnerships to reduce petroleum use in transportation in communities across the country. The U.S. Department of Energy's Clean Cities initiative advances the nation's economic, environmental, and energy security by supporting local actions to reduce petroleum consumption in transportation. Clean Cities accomplishes this work through the activities of nearly 100 local coalitions. These coalitions provide resources and technical assistance in the deployment of alternative and renewable fuels, idle-reduction measures, fuel economy improvements, and new transportation technologies, as they emerge. Clean Cities overarching goal is to reduce U.S. petroleum use by 2.5 billion gallons per year by 2020. To achieve this goal, Clean Cities employs three strategies: (1) Replace petroleum with alternative and renewable fuels, including natural gas, propane, electricity, ethanol, biodiesel, and hydrogen; (2) Reduce petroleum consumption through smarter driving practices and fuel economy improvements; and (3) Eliminate petroleum use through idle reduction and other fuel-saving technologies and practices.

  20. Lubricants - Pathway to Improving Fuel Efficiency of Legacy Fleet Vehicles

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

    | Department of Energy Reviews recent studies on potential for low-viscosity lubricants and low-friction surfaces and additives to reduce fuel consumption, and impact of such approaches on other critical lubricant metrics PDF icon deer11_fenske.pdf More Documents & Publications Lubricants Activities Vehicle Technologies Office Merit Review 2014: DOE/DOD Parasitic Energy Loss Collaboration DOE/DOD Parasitic Energy Loss

  1. Reformulated diesel fuel

    DOE Patents [OSTI]

    McAdams, Hiramie T [Carrollton, IL; Crawford, Robert W [Tucson, AZ; Hadder, Gerald R [Oak Ridge, TN; McNutt, Barry D [Arlington, VA

    2006-03-28

    Reformulated diesel fuels for automotive diesel engines which meet the requirements of ASTM 975-02 and provide significantly reduced emissions of nitrogen oxides (NO.sub.x) and particulate matter (PM) relative to commercially available diesel fuels.

  2. Alternative Fuels Data Center

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Reduced Registration Fee for Fuel-Efficient Vehicles A new motor vehicle with a U.S. Environmental Protection Agency estimated average city fuel economy of at least 40 miles per ...

  3. Alternative Fuels Data Center

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Independence and Security Act of 2007 Enacted December 19, 2007 The Energy Independence and Security Act (EISA) of 2007 (Public Law 110-140) aims to improve vehicle fuel economy and reduce U.S. dependence on petroleum. EISA includes provisions to increase the supply of renewable alternative fuel sources by setting a mandatory Renewable Fuel Standard, which requires transportation fuel sold in the United States to contain a minimum of 36 billion gallons of renewable fuels annually by 2022. In

  4. High Efficiency Direct Carbon and Hydrogen Fuel Cells for Fossil Fuel Power Generation

    SciTech Connect (OSTI)

    Steinberg, M; Cooper, J F; Cherepy, N

    2002-01-02

    Hydrogen he1 cells have been under development for a number of years and are now nearing commercial applications. Direct carbon fuel cells, heretofore, have not reached practical stages of development because of problems in fuel reactivity and cell configuration. The carbon/air fuel cell reaction (C + O{sub 2} = CO{sub 2}) has the advantage of having a nearly zero entropy change. This allows a theoretical efficiency of 100 % at 700-800 C. The activities of the C fuel and CO{sub 2} product do not change during consumption of the fuel. Consequently, the EMF is invariant; this raises the possibility of 100% fuel utilization in a single pass. (In contrast, the high-temperature hydrogen fuel cell has a theoretical efficiency of and changes in fuel activity limit practical utilizations to 75-85%.) A direct carbon fuel cell is currently being developed that utilizes reactive carbon particulates wetted by a molten carbonate electrolyte. Pure COZ is evolved at the anode and oxygen from air is consumed at the cathode. Electrochemical data is reported here for the carbon/air cell utilizing carbons derived from he1 oil pyrolysis, purified coal, purified bio-char and petroleum coke. At 800 O C, a voltage efficiency of 80% was measured at power densities of 0.5-1 kW/m2. Carbon and hydrogen fuels may be produced simultaneously at lugh efficiency from: (1) natural gas, by thermal decomposition, (2) petroleum, by coking or pyrolysis of distillates, (3) coal, by sequential hydrogasification to methane and thermal pyrolysis of the methane, with recycle of the hydrogen, and (4) biomass, similarly by sequential hydrogenation and thermal pyrolysis. Fuel production data may be combined with direct C and H2 fuel cell operating data for power cycle estimates. Thermal to electric efficiencies indicate 80% HHV [85% LHV] for petroleum, 75.5% HHV [83.4% LHV] for natural gas and 68.3% HHV [70.8% LHV] for lignite coal. Possible benefits of integrated carbon and hydrogen fuel cell power generation cycles are: (1) increased efficiency by a factor of up to 2 over many conventional fossil fuel steam plants, (2) reduced power generation cost, especially for increasing fossil fuel cost, (3) reduced CO2 emission per kWh, and (4) direct sequestration or reuse (e.g., in enhanced oil or NG recovery) of the CO{sub 2} product.

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

    Broader source: Energy.gov [DOE]

    Poster presented at the 16th Directions in Engine-Efficiency and Emissions Research (DEER) Conference in Detroit, MI, September 27-30, 2010.

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

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

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

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

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

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

  8. Gasoline-fueled hybrid vs. conventional vehicle emissions and fuel economy.

    SciTech Connect (OSTI)

    Anderson, J.; Bharathan, D.; He, J.; Plotkin, S.; Santini, D.; Vyas, A.

    1999-06-18

    This paper addresses the relative fuel economy and emissions behavior, both measured and modeled, of technically comparable, contemporary hybrid and conventional vehicles fueled by gasoline, in terms of different driving cycles. Criteria pollutants (hydrocarbons, carbon monoxide, and nitrogen oxides) are discussed, and the potential emissions benefits of designing hybrids for grid connection are briefly considered. In 1997, Toyota estimated that their grid-independent hybrid vehicle would obtain twice the fuel economy of a comparable conventional vehicle on the Japan 10/15 mode driving cycle. This initial result, as well as the fuel economy level (66 mpg), made its way into the U.S. press. Criteria emissions amounting to one-tenth of Japanese standards were cited, and some have interpreted these results to suggest that the grid-independent hybrid can reduce criteria emissions in the U.S. more sharply than can a conventional gasoline vehicle. This paper shows that the potential of contemporary grid-independent hybrid vehicle technology for reducing emissions and fuel consumption under U.S. driving conditions is less than some have inferred. The importance (and difficulty) of doing test and model assessments with comparable driving cycles, comparable emissions control technology, and comparable performance capabilities is emphasized. Compared with comparable-technology conventional vehicles, grid-independent hybrids appear to have no clear criteria pollutant benefits (or disbenefits). (Such benefits are clearly possible with grid-connectable hybrids operating in zero emissions mode.) However, significant reductions in greenhouse gas emissions (i.e., fuel consumption) are possible with hybrid vehicles when they are used to best advantage.

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

    SciTech Connect (OSTI)

    Thompson, W.

    1984-11-01

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

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

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

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

  11. Alternative Fuels Data Center

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    two competitive grant programs to fund projects that reduce greenhouse gas (GHG) emissions in the transportation sector. The Delaware Alternative Fueling Infrastructure Grant...

  12. Fuel-Flexible, Low-Emissions Catalytic Combustor for Opportunity Fuels |

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

    Department of Energy Flexible, Low-Emissions Catalytic Combustor for Opportunity Fuels Fuel-Flexible, Low-Emissions Catalytic Combustor for Opportunity Fuels This fact sheet provides an overview of the Next Generation Manufacturing Processes project to develop a unique, fuel-flexible catalytic combustor capable of enabling ultra-low emission, lean premixed combustion of a wide range of gaseous opportunity fuels. PDF icon Fact sheet - Enabling Clean Consumption of Low Btu and Reactive Fuels

  13. Household Vehicles Energy Consumption 1991

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

    more fuel-efficient vehicles, and the implementation of Corporate Average Fuel Economy (CAFE) 6 standards. Figure 13. Average Fuel Efficiency of All Vehicles, by Model Year 6...

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

    SciTech Connect (OSTI)

    Not Available

    1992-08-05

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

  15. Household energy consumption and expenditures 1987

    SciTech Connect (OSTI)

    Not Available

    1990-01-22

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

  16. Fuel economy and emissions evaluation of BMW hydrogen 7 mono-fuel demonstration vehicles.

    SciTech Connect (OSTI)

    Wallner, T.; Lohse-Busch, H.; Gurski, S.; Duoba, M.; Thiel, W.; Martin, D.; Korn, T.; Energy Systems; BMW Group Munich Germany; BMW Group Oxnard USA

    2008-12-01

    This article summarizes the testing of two BMW Hydrogen 7 Mono-Fuel demonstration vehicles at Argonne National Laboratory's Advanced Powertrain Research Facility (APRF). The BMW Hydrogen 7 Mono-Fuel demonstration vehicles are derived from the BMW Hydrogen 7 bi-fuel vehicles and based on a BMW 760iL. The mono-fuel as well as the bi-fuel vehicle(s) is equipped with cryogenic hydrogen on-board storage and a gaseous hydrogen port fuel injection system. The BMW Hydrogen 7 Mono-Fuel demonstration vehicles were tested for fuel economy as well as emissions on the Federal Test Procedure FTP-75 cold-start test as well as the highway test. The results show that these vehicles achieve emissions levels that are only a fraction of the Super Ultra Low Emissions Vehicle (SULEV) standard for nitric oxide (NO{sub x}) and carbon monoxide (CO) emissions. For non-methane hydrocarbon (NMHC) emissions the cycle-averaged emissions are actually 0 g/mile, which require the car to actively reduce emissions compared to the ambient concentration. The fuel economy numbers on the FTP-75 test were 3.7 kg of hydrogen per 100 km, which, on an energy basis, is equivalent to a gasoline fuel consumption of 17 miles per gallon (mpg). Fuel economy numbers for the highway cycle were determined to be 2.1 kg of hydrogen per 100 km or 30 miles per gallon of gasoline equivalent (GGE). In addition to cycle-averaged emissions and fuel economy numbers, time-resolved (modal) emissions as well as air/fuel ratio data is analyzed to further investigate the root causes of the remaining emissions traces. The BMW Hydrogen 7 vehicles employ a switching strategy with lean engine operation at low engine loads and stoichiometric operation at high engine loads that avoids the NO{sub x} emissions critical operating regime with relative air/fuel ratios between 1 < {lambda} < 2. The switching between these operating modes was found to be a major source of the remaining NO{sub x} emissions. The emissions results collected during this period lead to the conclusion that the BMW Hydrogen 7 Mono-Fuel demonstration vehicles are likely the cleanest combustion engine vehicles ever tested at Argonne's APRF.

  17. Fuel cell generator with fuel electrodes that control on-cell fuel reformation

    DOE Patents [OSTI]

    Ruka, Roswell J.; Basel, Richard A.; Zhang, Gong

    2011-10-25

    A fuel cell for a fuel cell generator including a housing including a gas flow path for receiving a fuel from a fuel source and directing the fuel across the fuel cell. The fuel cell includes an elongate member including opposing first and second ends and defining an interior cathode portion and an exterior anode portion. The interior cathode portion includes an electrode in contact with an oxidant flow path. The exterior anode portion includes an electrode in contact with the fuel in the gas flow path. The anode portion includes a catalyst material for effecting fuel reformation along the fuel cell between the opposing ends. A fuel reformation control layer is applied over the catalyst material for reducing a rate of fuel reformation on the fuel cell. The control layer effects a variable reformation rate along the length of the fuel cell.

  18. Consumptive water use in the production of ethanonl and petroleum gasoline.

    SciTech Connect (OSTI)

    Wu, M.; Mintz, M.; Wang, M.; Arora, S.; Energy Systems

    2009-01-30

    The production of energy feedstocks and fuels requires substantial water input. Not only do biofuel feedstocks like corn, switchgrass, and agricultural residues need water for growth and conversion to ethanol, but petroleum feedstocks like crude oil and oil sands also require large volumes of water for drilling, extraction, and conversion into petroleum products. Moreover, in many cases, crude oil production is increasingly water dependent. Competing uses strain available water resources and raise the specter of resource depletion and environmental degradation. Water management has become a key feature of existing projects and a potential issue in new ones. This report examines the growing issue of water use in energy production by characterizing current consumptive water use in liquid fuel production. As used throughout this report, 'consumptive water use' is the sum total of water input less water output that is recycled and reused for the process. The estimate applies to surface and groundwater sources for irrigation but does not include precipitation. Water requirements are evaluated for five fuel pathways: bioethanol from corn, ethanol from cellulosic feedstocks, gasoline from Canadian oil sands, Saudi Arabian crude, and U.S. conventional crude from onshore wells. Regional variations and historic trends are noted, as are opportunities to reduce water use.

  19. Energy consumption in thermomechanical pulping

    SciTech Connect (OSTI)

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

    1981-08-01

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

  20. Nuclear fuel element

    DOE Patents [OSTI]

    Zocher, Roy W.

    1991-01-01

    A nuclear fuel element and a method of manufacturing the element. The fuel element is comprised of a metal primary container and a fuel pellet which is located inside it and which is often fragmented. The primary container is subjected to elevated pressure and temperature to deform the container such that the container conforms to the fuel pellet, that is, such that the container is in substantial contact with the surface of the pellet. This conformance eliminates clearances which permit rubbing together of fuel pellet fragments and rubbing of fuel pellet fragments against the container, thus reducing the amount of dust inside the fuel container and the amount of dust which may escape in the event of container breach. Also, as a result of the inventive method, fuel pellet fragments tend to adhere to one another to form a coherent non-fragmented mass; this reduces the tendency of a fragment to pierce the container in the event of impact.