National Library of Energy BETA

Sample records for wood naics total

  1. Level: National and Regional Data; Row: Selected NAICS Codes; Column: Energy Sources

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

    August 2009 Next MECS will be conducted in 2010 Table 3.6 Selected Wood and Wood-Related Products in Fuel Consumption, 2006 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

  2. Table 3.6 Selected Wood and Wood-Related Products in Fuel Consumption, 2010;

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

    Table 3.6 Selected Wood and Wood-Related Products in Fuel Consumption, 2010; Level: National and Regional Data; Row: Selected NAICS Codes; Column: Energy Sources; Unit: Trillion Btu. Wood Residues and Wood-Related Pulping Liquor Wood Byproducts and NAICS or Biomass Agricultural Harvested Directly from Mill Paper-Related Code(a) Subsector and Industry Black Liquor Total(b) Waste(c) from Trees(d) Processing(e) Refuse(f) Total United States 311 Food 0 44 43 * * 1 311221 Wet Corn Milling 0 1 1 0 0 0

  3. Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected;

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

    Table 7.1 Average Prices of Purchased Energy Sources, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected; Unit: U.S. Dollars per Physical Units. Selected Wood and Other Biomass Components Coal Components Coke Electricity Components Natural Gas Components Steam Components Total Wood Residues Bituminous Electricity Diesel Fuel Motor Natural Gas Steam and Wood-Related and Electricity from Sources and Gasoline Pulping Liquor Natural Gas from Sources

  4. Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected;

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

    Next MECS will be conducted in 2010 Table 7.2 Average Prices of Purchased Energy Sources, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected; Unit: U.S. Dollars per Million Btu. Selected Wood and Other Biomass Components Coal Components Coke Electricity Components Natural Gas Components Steam Components Total Wood Residues Bituminous Electricity Diesel Fuel Motor Natural Gas Steam and Wood-Related and Electricity from Sources and Gasoline Pulping

  5. Top NAICS Codes

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

    Business opportunities » Top NAICS Codes Top NAICS Codes Below is a current listing of the top NAICS codes by volume and dollar value Contact Small Business Office 505-667-4419 Email Top Ten NAICS Codes Volume 511210 Software Publishers 334516 Analytical Laboratory Instrument Manufacturing 334111 Electronic Computer Manufacturing 325120 Industrial Gas Manufacturing 334112 Computer Storage Device Manufacturing 334519 Other Measuring and Controlling Device Manufacturing 334515 Instrument

  6. " Row: NAICS Codes;"

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

    " Level: National Data; " " Row: NAICS Codes;" " Column: Floorspace and Buildings;" " ... " QWithheld because Relative Standard Error is greater than 50 percent." " ...

  7. " Row: NAICS Codes;"

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

    ...rature","Processes","RSE" "NAICS"," ",,"Technology",,,..."Row" ... that reported this" "cogeneration technology in use anytime in 1998." " NFNo ...

  8. Manufacturing Energy and Carbon Footprint- Sector: Iron and Steel (NAICS 3311, 3312), October 2012 (MECS 2006)

    Broader source: Energy.gov [DOE]

    Manufacturing Energy and Carbon Footprint for Iron and Steel Sector (NAICS 3311, 3312) with Total Energy Input

  9. " Row: NAICS Codes;"

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

    3 Number of Establishments by Usage of Cogeneration Technologies, 2002; " " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within Cogeneration Technologies;" " Unit: ...

  10. " Row: NAICS Codes;"

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

    3 Number of Establishments by Usage of Cogeneration Technologies, 2006;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within Cogeneration Technologies;" " Unit: ...

  11. " Row: NAICS Codes;"

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

    Data; " " Row: NAICS Codes;" " Column: Floorspace and ... "Code(a)","Subsector and Industry","(million sq ... because Relative Standard Error is greater than 50 ...

  12. " Row: NAICS Codes;"

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

    " ,,,"Cogeneration" "NAICS",,,"Technology" "Code(a)","Selected Subsectors and ... that reported this" "cogeneration technology in use anytime in 2010." " (e) This ...

  13. " Row: NAICS Codes;" " ...

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

    of Purchased Electricity, Natural Gas, and Steam, 1998;" " Level: National Data; " " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and ...

  14. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

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

    0.5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Residual Fuel Oil(b) Alternative Energy Sources(c) Coal Coke NAICS Total Establishments Not Electricity Natural Distillate and Code(a) Selected Subsectors and Industry Consuming Residual Fuel Oil(d Switchable Switchable Receipts(e) Gas Fuel Oil Coal LPG Breeze Other(f) Total United States 311 Food

  15. " Row: NAICS Codes; Column: Electricity...

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

    1. Electricity: Components of Net Demand, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," ...

  16. NAICS Codes @ Headquarters | Department of Energy

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

    NAICS Codes @ Headquarters NAICS Codes @ Headquarters A listing of NAICS codes used at Headquarters Procurement Services PDF icon NAICS Codes @ Headquarters.pdf More Documents & Publications Product Service Codes @ Headquarters Management & Operating Subcontract Reporting Capability (MOSRC) Downloads Historical Procurement Information

  17. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

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

    1 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. NAICS Total Not Electricity Natural Distillate Residual Code(a) Subsector and Industry Consumed(d) Switchable Switchable Receipts(e) Gas Fuel Oil Fuel Oil LPG Other(f) Total United States 311 Food 67 21 49 W 19 10 W W W 3112 Grain and Oilseed Milling 35 7 29 W 7 3 0 W W 311221 Wet Corn Milling 18 4 17 0 4 W 0 W

  18. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

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

    3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Coal Coke NAICS Total Not Electricity Natural Distillate Residual and Code(a) Subsector and Industry Consumed(d) Switchable Switchable Receipts(e) Gas Fuel Oil Fuel Oil Coal Breeze Other(f) Total United States 311 Food 2,920 325 1,945 171 174 25 W 0 0 15 3112 Grain and Oilseed Milling 269 36 152 Q Q W W 0 0 W

  19. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

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

    3 Number of Establishments with Capability to Switch Natural Gas to Alternative Energy Sources, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Natural Gas(b) Alternative Energy Sources(c) Coal Coke NAICS Total Not Electricity Distillate Residual and Code(a) Subsector and Industry Consumed(d) Switchable Switchable Receipts(e) Fuel Oil Fuel Oil Coal LPG Breeze Other(f) Total United States 311 Food 11,395 1,830 6,388 484 499 245 Q 555 0 203 3112

  20. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

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

    5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Residual Fuel Oil(b) Alternative Energy Sources(c) Coal Coke NAICS Total Not Electricity Natural Distillate and Code(a) Subsector and Industry Consumed(d) Switchable Switchable Receipts(e) Gas Fuel Oil Coal LPG Breeze Other(f) Total United States 311 Food 326 178 23 0 150 Q 0 Q 0 W 3112 Grain and

  1. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

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

    7 Number of Establishments with Capability to Switch Electricity to Alternative Energy Sources, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Coal Coke NAICS Total Not Natural Distillate Residual and Code(a) Subsector and Industry Receipts(d) Switchable Switchable Gas Fuel Oil Fuel Oil Coal LPG Breeze Other(e) Total United States 311 Food 14,109 708 8,259 384 162 0 Q 105 0 84 3112 Grain and Oilseed Milling 580 27 472 3 Q 0 W W 0 W 311221 Wet

  2. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

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

    9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Coal Coke NAICS Total Not Electricity Natural Residual and Code(a) Subsector and Industry Consumed(d) Switchable Switchable Receipts(e) Gas Fuel Oil Coal LPG Breeze Other(f) Total United States 311 Food 1,462 276 900 Q 217 8 0 25 0 16 3112 Grain and Oilseed Milling 174 10 131 W 4 W 0 W 0 W 311221

  3. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

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

    1 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. NAICS Total Establishments Not Electricity Natural Distillate Residual Code(a) Selected Subsectors and Industry Consuming Coal(d) Switchable Switchable Receipts(e) Gas Fuel Oil Fuel Oil LPG Other(f) Total United States 311 Food 64 19 54 0 17 6 W W W 3112 Grain and Oilseed Milling 30 13 24 0 12 W 0 W W 311221 Wet

  4. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

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

    3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Coal Coke NAICS Total Establishments Not Electricity Natural Distillate Residual and Code(a) Selected Subsectors and Industry Consuming LPG(d) Switchable Switchable Receipts(e) Gas Fuel Oil Fuel Oil Coal Breeze Other(f) Total United States 311 Food 4,039 600 2,860 356 221 Q W 0 0 16 3112 Grain and Oilseed Milling

  5. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

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

    3 Number of Establishments with Capability to Switch Natural Gas to Alternative Energy Sources, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Natural Gas(b) Alternative Energy Sources(c) Coal Coke NAICS Total Establishments Not Electricity Distillate Residual and Code(a) Selected Subsectors and Industry Consuming Natural Gas(d Switchable Switchable Receipts(e) Fuel Oil Fuel Oil Coal LPG Breeze Other(f) Total United States 311 Food 10,373 1,667

  6. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

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

    7 Number of Establishments with Capability to Switch Electricity to Alternative Energy Sources, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Coal Coke NAICS Total Establishments Not Natural Distillate Residual and Code(a) Selected Subsectors and Industry with Electricity Receipts(d Switchable Switchable Gas Fuel Oil Fuel Oil Coal LPG Breeze Other(e) Total United States 311 Food 13,265 765 11,829 482 292 Q Q 51 Q Q 3112 Grain and Oilseed

  7. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

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

    9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Coal Coke NAICS Total Establishments Not Electricity Natural Residual and Code(a) Selected Subsectors and Industry Consuming Distillate Fuel Oil(d Switchable Switchable Receipts(e) Gas Fuel Oil Coal LPG Breeze Other(f) Total United States 311 Food 2,416 221 2,115 82 160 Q 0 Q 0 30 3112 Grain and

  8. Good-Bye, SIC - Hello, NAICS

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

    you are having trouble, call 202-586-8800 for help. Home > Industrial > Manufacturing > Good-Bye, SIC - Hello, NAICS Good-Bye, SIC - Hello, NAICS The North American Industry...

  9. Level: National Data; Row: Employment Sizes within NAICS Codes;

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

    4 Consumption Ratios of Fuel, 2006; Level: National Data; Row: Employment Sizes within NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Economic Characteristic(b) (million Btu) (thousand Btu) (thousand Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES Employment Size Under 50 562.6 4.7 2.4 50-99 673.1 5.1 2.4 100-249 1,072.8 6.5 3.0 250-499 1,564.3

  10. Level: National Data; Row: Employment Sizes within NAICS Codes;

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

    4 Consumption Ratios of Fuel, 2010; Level: National Data; Row: Employment Sizes within NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Economic Characteristic(b) (million Btu) (thousand Btu) (thousand Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES Employment Size Under 50 625.5 3.3 1.7 50-99 882.3 5.8 2.5 100-249 1,114.9 5.8 2.5 250-499 2,250.4

  11. Level: National Data; Row: NAICS Codes; Column: Energy Sources

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

    2.4 Number of Establishments by Nonfuel (Feedstock) Use of Combustible Energy, 2006 Level: National Data; Row: NAICS Codes; Column: Energy Sources Unit: Establishment Counts. Any Combustible NAICS Energy Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Fuel Oil Fuel Oil(c) Natural Gas(d) NGL(e) Coal and Breeze Other(f) Total United States 311 Food 183 0 105 38 Q 0 W 8 3112 Grain and Oilseed Milling 36 0 Q 13 W 0 0 6 311221 Wet Corn Milling W 0 0 0 0 0 0 W 31131 Sugar

  12. Level: National Data; Row: NAICS Codes; Column: Energy Sources

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

    3.4 Number of Establishments by Fuel Consumption, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources Unit: Establishment Counts. Any NAICS Energy Net Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal and Breeze Other(g) Total United States 311 Food 14,128 14,113 326 1,462 11,395 2,920 67 13 1,240 3112 Grain and Oilseed Milling 580 580 15 174 445 269 35 0 148 311221 Wet Corn Milling 47 47 W 17

  13. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

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

    2.4 Number of Establishments by Nonfuel (Feedstock) Use of Combustible Energy, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Any Combustible NAICS Energy Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Fuel Oil Fuel Oil(c) Natural Gas(d) NGL(e) Coal and Breeze Other(f) Total United States 311 Food 592 W Q Q Q 0 0 345 3112 Grain and Oilseed Milling 85 0 W 15 Q 0 0 57 311221 Wet Corn Milling 8 0 0 0 0 0 0 8 31131 Sugar

  14. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

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

    3.4 Number of Establishments by Fuel Consumption, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Any NAICS Energy Net Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal and Breeze Other(g) Total United States 311 Food 13,269 13,265 144 2,416 10,373 4,039 64 7 1,538 3112 Grain and Oilseed Milling 602 602 9 204 489 268 30 0 140 311221 Wet Corn Milling 59 59 W 28

  15. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

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

    4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Any NAICS Energy Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal and Breeze Other(g) Total United States 311 Food 13,269 13,265 144 2,413 10,373 4,039 64 W 1,496 3112 Grain and Oilseed Milling 602 602 9 201 489 268 30 0 137 311221 Wet Corn

  16. Level: National Data; Row: Values of Shipments within NAICS Codes;

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

    3 Consumption Ratios of Fuel, 2006; Level: National Data; Row: Values of Shipments within NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Economic Characteristic(b) (million Btu) (thousand Btu) (thousand Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES Value of Shipments and Receipts (million dollars) Under 20 330.6 3.6 2.0 20-49 550.0 4.5 2.2

  17. Level: National Data; Row: Values of Shipments within NAICS Codes;

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

    3 Consumption Ratios of Fuel, 2010; Level: National Data; Row: Values of Shipments within NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Economic Characteristic(b) (million Btu) (thousand Btu) (thousand Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES Value of Shipments and Receipts (million dollars) Under 20 405.4 4.0 2.1 20-49 631.3 4.7 2.2

  18. Level: National Data; Row: NAICS Codes; Column: Reasons that Made Quantity Unswitchable;

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

    0 Reasons that Made Electricity Unswitchable, 2006; Level: National Data; Row: NAICS Codes; Column: Reasons that Made Quantity Unswitchable; Unit: Million kWh. Total Amount of Total Amount of Equipment is Not Switching Unavailable Long-Term Unavailable Combinations of NAICS Electricity Consumed Unswitchable Capable of Using Adversely Affects Alternative Environmenta Contract Storage for Another Columns F, G, Code(a) Subsector and Industry as a Fuel Electricity Fuel Use Another Fuel the Products

  19. Level: National Data; Row: NAICS Codes; Column: Reasons that Made Quantity Unswitchable;

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

    1 Reasons that Made Natural Gas Unswitchable, 2006; Level: National Data; Row: NAICS Codes; Column: Reasons that Made Quantity Unswitchable; Unit: Billion cubic feet. Total Amount of Total Amount of Equipment is Not Switching Unavailable Long-Term Unavailable Combinations of NAICS Natural Gas Unswitchable Capable of Using Adversely Affects Alternative Environmenta Contract Storage for Another Columns F, G, Code(a) Subsector and Industry Consumed as a FueNatural Gas Fuel Use Another Fuel the

  20. Level: National Data; Row: NAICS Codes; Column: Reasons that Made Quantity Unswitchable;

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

    2 Reasons that Made Coal Unswitchable, 2006; Level: National Data; Row: NAICS Codes; Column: Reasons that Made Quantity Unswitchable; Unit: Million short tons. Total Amount of Total Amount of Equipment is Not Switching Unavailable Long-Term Unavailable Combinations of NAICS Coal Consumed Unswitchable Capable of Using Adversely Affects Alternative Environmenta Contract Storage for Another Columns F, G, Code(a) Subsector and Industry as a Fuel Coal Fuel Use Another Fuel the Products Fuel

  1. Level: National Data; Row: NAICS Codes; Column: Reasons that Made Quantity Unswitchable;

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

    3 Reasons that Made LPG Unswitchable, 2006; Level: National Data; Row: NAICS Codes; Column: Reasons that Made Quantity Unswitchable; Unit: Million barrels. Total Amount of Total Amount of Equipment is Not Switching Unavailable Long-Term Unavailable Combinations of NAICS LPG Consumed Unswitchable Capable of Using Adversely Affects Alternative Environmenta Contract Storage for Another Columns F, G, Code(a) Subsector and Industry as a Fuel LPG Fuel Use Another Fuel the Products Fuel

  2. NAICS Codes @ Headquarters Description: NAICS Codes used at Headquarters Procurement Services

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

    NAICS Codes @ Headquarters Description: NAICS Codes used at Headquarters Procurement Services Filters: Signed Date only show values between , Contracting Agency ID show only ('8900'), Contracting Office ID show only ('00001'), Date Signed only show values between '05/01/2011' and '04/30/2012', Last Modified Date only show values between Contracting Agency ID: 8900, Contracting Office ID: 00001 NAICS Code NAICS Description Action Obligation 541519 OTHER COMPUTER RELATED SERVICES 341

  3. Level: National Data; Row: General Energy-Management Activities within NAICS Codes;

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

    Next MECS will be fielded in 2015 Table 8.1 Number of Establishments by Participation in General Energy-Management Activities, 2010; Level: National Data; Row: General Energy-Management Activities within NAICS Codes; Column: Participation and Source of Assistance; Unit: Establishment Counts. NAICS Code(a) Energy-Management Activity No Participation Participation(b) In-house Utility/Energy Suppler Product/Service Provider Federal Program State/Local Program Don't Know Total United States 311 -

  4. Level: National Data; Row: NAICS Codes; Column: Levels of Price Difference;

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

    6 Percent of Establishments by Levels of Price Difference that Would Cause Fuel Switching from Coal to a Less Expensive Substitute, 2010; Level: National Data; Row: NAICS Codes; Column: Levels of Price Difference; Unit: Establishment Counts. Would Switch Would Not Estimate to More NAICS Establishments Switch Due 1 to 10 11 to 25 26 to 50 Over 50 Cannot Expensive Code(a) Subsector and Industry Able to Switch(b) to Price Percent Percent Percent Percent Be Provided Substitute Total United States

  5. Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;

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

    2 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Residual and LPG and (excluding Coal Code(a) End Use Total Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Other(f) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fuel --

  6. Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;

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

    1 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS Total Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Other(f) Code(a) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States

  7. Level: National Data; Row: NAICS Codes (3-Digit Only); Column: Energy Sources

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

    4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2006; Level: National Data; Row: NAICS Codes (3-Digit Only); Column: Energy Sources Unit: Establishment Counts. Any NAICS Energy Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal and Breeze Other(g) Total United States 311 Food 14,128 14,109 326 1,462 11,395 2,920 67 13 1,149 3112 Grain and Oilseed Milling 580 580 15 174 445 269 35 0 144 311221

  8. Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments

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

    1.4 Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments Unit: Establishment Counts. Any Shipments NAICS Energy Net Residual Distillate LPG and Coke and of Energy Sources Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal Breeze Other(g) Produced Onsite(h) Total United States 311 Food 14,128 14,113 326 1,475 11,399 2,947 67 15

  9. Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments;

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

    .4 Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments; Unit: Establishment Counts. Any Shipments NAICS Energy Net Residual Distillate LPG and Coke and of Energy Sources Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal Breeze Other(g) Produced Onsite(h) Total United States 311 Food 13,269 13,265 151 2,494 10,376 4,061 64 7

  10. Level: National Data; Row: NAICS Codes; Column: Usage within Cogeneration Technologies;

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

    3 Number of Establishments by Usage of Cogeneration Technologies, 2006; Level: National Data; Row: NAICS Codes; Column: Usage within Cogeneration Technologies; Unit: Establishment Counts. Establishments with Any Cogeneration NAICS Technology Code(a) Subsector and Industry Establishments(b) in Use(c) In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know Total United States 311 Food 14,128 297

  11. Level: National Data; Row: NAICS Codes; Column: Usage within Cogeneration Technologies;

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

    3 Number of Establishments by Usage of Cogeneration Technologies, 2010; Level: National Data; Row: NAICS Codes; Column: Usage within Cogeneration Technologies; Unit: Establishment Counts. Establishments with Any Cogeneration NAICS Technology Code(a) Selected Subsectors and Industry Establishments(b) in Use(c) In Use(d) Not in Use(e) Don't Know In Use(d) Not in Use(e) Don't Know In Use(d) Not in Use(e) Don't Know In Use(d) Not in Use(e) Don't Know In Use(d) Not in Use(e) Don't Know Total United

  12. Level: National Data; Row: Specific Energy-Management Activities within NAICS Codes;

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

    Next MECS will be conducted in 2010 Table 8.4 Number of Establishments by Participation in Specific Energy-Management Activities, 2006; Level: National Data; Row: Specific Energy-Management Activities within NAICS Codes; Column: Participation; Unit: Establishment Counts. NAICS Code(a) Energy-Management Activity No Participation Participation(b) Don't Know Not Applicable Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES Full-Time Energy Manager (c) 159,258 9,922 25,553 -- Set Goals for

  13. Level: National Data; Row: Specific Energy-Management Activities within NAICS Codes;

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

    Next MECS will be fielded in 2015 Table 8.4 Number of Establishments by Participation in Specific Energy-Management Activities, 2010; Level: National Data; Row: Specific Energy-Management Activities within NAICS Codes; Column: Participation; Unit: Establishment Counts. NAICS Code(a) Energy-Management Activity No Participation Participation(b) Don't Know No Steam Used Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES Full-Time Energy Manager (c) 142,267 12,536 15,365 -- Set Goals for

  14. Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios

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

    Next MECS will be conducted in 2010 Table 6.1 Consumption Ratios of Fuel, 2006 Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Subsector and Industry (million Btu) (thousand Btu) (thousand Btu) Total United States 311 Food 879.8 5.0 2.2 3112 Grain and Oilseed Milling 6,416.6 17.5 5.7 311221 Wet Corn Milling 21,552.1 43.6

  15. Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;

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

    4 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Demand Residual and LPG and (excluding Coal Code(a) End Use for Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23

  16. North American Industry Classification System (NAICS) Search Tool

    Broader source: Energy.gov [DOE]

    The North American Industry Classification System (NAICS) is the standard used by Federal statistical agencies in classifying business establishments for the purpose of collecting, analyzing, and...

  17. " Row: NAICS Codes;"

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

    2.1. Enclosed Floorspace and Number of Establishment Buildings, 1998;" " Level: National Data; " " Row: NAICS Codes;" " Column: Floorspace and Buildings;" " Unit: Floorspace Square Footage and Building Counts." ,,"Approximate",,,"Approximate","Average" ,,"Enclosed Floorspace",,"Average","Number","Number" ,,"of All Buildings",,"Enclosed Floorspace","of All

  18. Level: National Data; Row: NAICS Codes; Column: Usage within General Energy-Saving Technologies;

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

    2 Number of Establishments by Usage of General Energy-Saving Technologies, 2006; Level: National Data; Row: NAICS Codes; Column: Usage within General Energy-Saving Technologies; Unit: Establishment Counts. NAICS Code(a) Subsector and Industry Establishments(b) In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know Total United States 311 Food 14,128 1,632 9,940 2,556 3,509 8,048 2,571 1,590

  19. "NAICS Code(a)","Energy-Management Activity","No Participation...

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

    8.4;" " Unit: Percents." "NAICS Code(a)","Energy-Management Activity","No ... MANUFACTURING INDUSTRIES" ,"Full-Time Energy Manager (c)",0.7,4.8,3.9,"--" ,"Set Goals ...

  20. Level: National Data; Row: NAICS Codes; Column: Floorspace and Buildings;

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

    9.1 Enclosed Floorspace and Number of Establishment Buildings, 2010; Level: National Data; Row: NAICS Codes; Column: Floorspace and Buildings; Unit: Floorspace Square Footage and Building Counts. Approximate Approximate Average Enclosed Floorspace Average Number Number of All Buildings Enclosed Floorspace of All Buildings of Buildings Onsite NAICS Onsite Establishments(b) per Establishment Onsite per Establishment Code(a) Subsector and Industry (million sq ft) (counts) (sq ft) (counts) (counts)

  1. Manufacturing Energy and Carbon Footprint - Sector: Foundries (NAICS 3315), January 2014 (MECS 2010)

    Energy Savers [EERE]

    Foundries (NAICS 3315) Process Energy Electricity and Steam Generation Losses Process Losses 1 Nonprocess Losses 173 34 Steam Distribution Losses 0 8 Nonprocess Energy 59 Electricity Generation Steam Generation 173 0 Prepared for the U.S. Department of Energy, Advanced Manufacturing Office by Energetics Incorporated 19 77 38 Generation and Transmission Losses Generation and Transmission Losses 0 76 96 95 2 97 114 0 2 0.0 6.6 6.6 1.8 7.2 1.9 9 2.6 9.2 0.6 Fuel Total Primary Energy, 2010 Total

  2. Level: National Data and Regional Totals; Row: NAICS Codes, Value...

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

    15 * 8 * * * 0 0 0 * 325193 Ethyl Alcohol 80 3 60 0 1 * * 2 0 1 325199 Other Basic ... 4 * 2 0 0 0 0 0 0 * 325193 Ethyl Alcohol * 0 0 0 0 0 0 0 0 0 325199 Other Basic ...

  3. Level: National Data and Regional Totals; Row: NAICS Codes, Value...

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

    2,566 0 592 0 0 0 0 0 0 0 325193 Ethyl Alcohol 2,717 116 2,002 53 61 0 39 0 0 37 325199 ... 178 0 178 0 0 0 0 0 0 0 325193 Ethyl Alcohol 1 0 1 0 0 0 0 0 0 0 325199 Other Basic ...

  4. Level: National Data and Regional Totals; Row: NAICS Codes, Value...

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

    0 0 0 0 0 0 0 0 0 325193 Ethyl Alcohol 855 442 97 0 407 198 0 0 0 325199 Other ... 0 0 0 0 0 0 0 0 0 325193 Ethyl Alcohol 0 0 0 0 0 0 0 0 0 325199 Other Basic ...

  5. Level: National Data and Regional Totals; Row: NAICS Codes, Value...

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

    18 12 6 0 12 11 0 0 0 0 325193 Ethyl Alcohol 11 6 4 * 5 0 1 0 0 0 325199 Other Basic ... * 0 * 0 0 0 0 0 0 0 325193 Ethyl Alcohol 0 0 0 0 0 0 0 0 0 0 325199 Other Basic ...

  6. Level: National Data and Regional Totals; Row: NAICS Codes, Value...

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

    * 0 * 0 0 0 0 0 0 0 325193 Ethyl Alcohol 10 8 2 0 8 0 0 0 0 * 325199 Other Basic ... * 0 * 0 0 0 0 0 0 0 325193 Ethyl Alcohol 1 0 1 0 0 0 0 0 0 0 325199 Other Basic ...

  7. Level: National Data and Regional Totals; Row: NAICS Codes, Value...

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

    93 85 8 0 0 85 0 0 0 0 325193 Ethyl Alcohol 0 0 0 0 0 0 0 0 0 0 325199 Other Basic ... 0 0 0 0 0 0 0 0 0 0 325193 Ethyl Alcohol 0 0 0 0 0 0 0 0 0 0 325199 Other Basic ...

  8. Manufacturing Energy and Carbon Footprint - Sector: Alumina and Aluminum (NAICS 3313), January 2014 (MECS 2010)

    Energy Savers [EERE]

    Alumina and Aluminum (NAICS 3313) Process Energy Electricity and Steam Generation Losses Process Losses 3 Nonprocess Losses 456 105 Steam Distribution Losses 3 7 Nonprocess Energy 99 Electricity Generation Steam Generation 456 5 Prepared for the U.S. Department of Energy, Advanced Manufacturing Office by Energetics Incorporated 16 198 116 Generation and Transmission Losses Generation and Transmission Losses 2 234 214 207 13 220 351 7 10 0.4 20.3 20.8 4.2 24.0 1.3 26 5.3 26.1 0.4 Fuel Total

  9. Manufacturing Energy and Carbon Footprint - Sector: Cement (NAICS 327310), January 2014 (MECS 2010)

    Energy Savers [EERE]

    Cement (NAICS 327310) Process Energy Electricity and Steam Generation Losses Process Losses 1 Nonprocess Losses 307 101 Steam Distribution Losses 1 3 Nonprocess Energy 214 Electricity Generation Steam Generation 307 0 Prepared for the U.S. Department of Energy, Advanced Manufacturing Office by Energetics Incorporated 6 237 31 Generation and Transmission Losses Generation and Transmission Losses 0 62 243 240 5 245 93 0 4 0.0 5.4 5.4 18.5 23.5 0.6 25 19.1 24.6 0.2 Fuel Total Primary Energy, 2010

  10. Manufacturing Energy and Carbon Footprint - Sector: Fabricated Metals (NAICS 332), January 2014 (MECS 2010)

    Energy Savers [EERE]

    Fabricated Metals (NAICS 332) Process Energy Electricity and Steam Generation Losses Process Losses 6 Nonprocess Losses 557 90 Steam Distribution Losses 4 35 Nonprocess Energy 174 Electricity Generation Steam Generation 557 0 Prepared for the U.S. Department of Energy, Advanced Manufacturing Office by Energetics Incorporated 80 211 127 Generation and Transmission Losses Generation and Transmission Losses 0 255 291 275 26 301 382 1 20 0.0 22.2 22.2 5.6 22.4 7.7 32 9.3 31.5 2.3 Fuel Total Primary

  11. Manufacturing Energy and Carbon Footprint - Sector: Machinery (NAICS 333), January 2014 (MECS 2010)

    Energy Savers [EERE]

    Machinery (NAICS 333) Process Energy Electricity and Steam Generation Losses Process Losses 1 Nonprocess Losses 288 37 Steam Distribution Losses 1 27 Nonprocess Energy 77 Electricity Generation Steam Generation 288 0 Prepared for the U.S. Department of Energy, Advanced Manufacturing Office by Energetics Incorporated 67 78 70 Generation and Transmission Losses Generation and Transmission Losses 0 141 144 139 8 147 211 1 7 0.0 12.2 12.3 1.8 8.9 6.9 16 4.2 16.4 2.0 Fuel Total Primary Energy, 2010

  12. Manufacturing Energy and Carbon Footprint - Sector: Textiles (NAICS 313-316), January 2014 (MECS 2010)

    Energy Savers [EERE]

    Textiles (NAICS 313-316) Process Energy Electricity and Steam Generation Losses Process Losses 6 Nonprocess Losses 242 47 Steam Distribution Losses 6 12 Nonprocess Energy 59 Electricity Generation Steam Generation 242 6 Prepared for the U.S. Department of Energy, Advanced Manufacturing Office by Energetics Incorporated 26 84 58 Generation and Transmission Losses Generation and Transmission Losses 2 117 111 91 32 123 175 8 27 0.5 10.1 10.7 1.4 9.1 3.1 14 3.7 14.3 0.3 Fuel Total Primary Energy,

  13. Manufacturing Energy and Carbon Footprint - Sector: Iron and Steel (NAICS 3311, 3312), January 2014 (MECS 2010)

    Energy Savers [EERE]

    3311, 3312), October 2012 (MECS 2006) | Department of Energy - Sector: Iron and Steel (NAICS 3311, 3312), October 2012 (MECS 2006) Manufacturing Energy and Carbon Footprint - Sector: Iron and Steel (NAICS 3311, 3312), October 2012 (MECS 2006) PDF icon steel_footprint_2012.pdf More Documents & Publications MECS 2006 - Iron and Steel Iron and Steel (2010 MECS) MECS 2006 - Cement

    Iron and Steel (NAICS 3311, 3312) Process Energy Electricity and Steam Generation Losses Process Losses 49

  14. Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;

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

    Coke and Shipments Net Residual Distillate Natural LPG and Coal Breeze of Energy Sources NAICS Total(b) Electricity(c) Fuel Oil Fuel Oil(d) Gas(e) NGL(f) (million (million Other(g) Produced Onsite(h) Code(a) Subsector and Industry (trillion Btu) (million kWh) (million bbl) (million bbl) (billion cu ft) (million bbl) short tons) short tons) (trillion Btu) (trillion Btu) Total United States RSE Column Factors: 0.9 1 1.2 1.8 1 1.6 0.8 0.9 1.2 0.4 311 Food 1,123 67,521 2 3 567 1 8 * 89 0 311221 Wet

  15. " Row: NAICS Codes; Column: Energy Sources...

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

    Gas(e)","NGL(f)","Coal","Breeze","Other(g)","Produced Onsite(h)" ,,"Total United ... raw" "Natural Gas Liquids '(NGL).'" " (g) 'Other' includes net steam (the sum of ...

  16. " Row: NAICS Codes; Column: Energy Sources...

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

    Gas(e)","NGL(f)","Coal","and Breeze","Other(g)" ,,"Total United States" , ... raw" "Natural Gas Liquids '(NGL).'" " (g) 'Other' includes all other energy that was ...

  17. " Row: NAICS Codes; Column: Energy Sources...

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

    Gas(e)","NGL(f)","Coal","and Breeze","Other(g)" ,,"Total United States" , ... raw" "Natural Gas Liquids '(NGL).'" " (g) 'Other' includes net steam (the sum of ...

  18. " Row: NAICS Codes; Column: Energy Sources...

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

    Gas(e)","NGL(f)","Coal","Breeze","Other(g)","Produced Onsite(h)","Factors" ,,"Total ... raw" "Natural Gas Liquids '(NGL).'" " (g) 'Other' includes net steam (the sum of ...

  19. " Row: NAICS Codes; Column: Energy Sources...

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

    ..."Coal","Breeze","Other(g)","Produced Onsite(h)" ,,"Total United States" ... See also" "Footnote 'i'." " (h) 'Shipments of Energy Sources Produced Onsite' are those ...

  20. " Row: NAICS Codes; Column: Energy Sources...

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

    Gas(e)","NGL(f)","Coal","and Breeze","Other(g)","Factors" ,,"Total United States" ,"RSE ... raw" "Natural Gas Liquids '(NGL).'" " (g) 'Other' includes net steam (the sum of ...

  1. " Row: NAICS Codes; Column: Energy Sources...

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

    ...921,2916,1599,24,86,859 331111," Iron and Steel Mills",348,347,9,145,300,134,14,21,152 ... total inputs of energy)" "for the production of heat, power, and electricity ...

  2. " Row: NAICS Codes; Column: Energy Sources...

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

    ...99,1873,39,118,1341,3.6 331111," Iron and Steel Mills",771,771,5,274,448,157,21,19,159,4.2 ... total inputs of energy)" "for the production of heat, power, and electricity ...

  3. Total

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

    Cell shipments Total Inventory, start-of-year 328,658 Manufactured during reporting year ... Table 5. Source and disposition of photovoltaic cell shipments, 2013 (peak kilowatts) ...

  4. Total............................................................

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

    Total................................................................... 111.1 2,033 1,618 1,031 791 630 401 Total Floorspace (Square Feet) Fewer than 500............................................... 3.2 357 336 113 188 177 59 500 to 999....................................................... 23.8 733 667 308 343 312 144 1,000 to 1,499................................................. 20.8 1,157 1,086 625 435 409 235 1,500 to 1,999................................................. 15.4 1,592

  5. Total..........................................................

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

    14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500...... 3.2 0.7 Q 0.3 0.3 0.7 0.6 0.3 Q 500 to ...

  6. Total

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

    Product: Total Crude Oil Liquefied Petroleum Gases Propane/Propylene Normal Butane/Butylene Other Liquids Oxygenates Fuel Ethanol MTBE Other Oxygenates Biomass-based Diesel Other Renewable Diesel Fuel Other Renewable Fuels Gasoline Blending Components Petroleum Products Finished Motor Gasoline Reformulated Gasoline Conventional Gasoline Kerosene-Type Jet Fuel Kerosene Distillate Fuel Oil Distillate Fuel Oil, 15 ppm Sulfur and Under Distillate Fuel Oil, Greater than 15 ppm to 500 ppm Sulfur

  7. Total..........................................................................

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

    . 111.1 20.6 15.1 5.5 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.5 0.4 500 to 999........................................................... 23.8 4.6 3.6 1.1 1,000 to 1,499..................................................... 20.8 2.8 2.2 0.6 1,500 to 1,999..................................................... 15.4 1.9 1.4 0.5 2,000 to 2,499..................................................... 12.2 2.3 1.7 0.5 2,500 to

  8. Total..........................................................................

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

    5.6 17.7 7.9 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.5 0.3 Q 500 to 999........................................................... 23.8 3.9 2.4 1.5 1,000 to 1,499..................................................... 20.8 4.4 3.2 1.2 1,500 to 1,999..................................................... 15.4 3.5 2.4 1.1 2,000 to 2,499..................................................... 12.2 3.2 2.1 1.1 2,500 to

  9. Total..........................................................................

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

    0.7 21.7 6.9 12.1 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.6 Q Q 500 to 999........................................................... 23.8 9.0 4.2 1.5 3.2 1,000 to 1,499..................................................... 20.8 8.6 4.7 1.5 2.5 1,500 to 1,999..................................................... 15.4 6.0 2.9 1.2 1.9 2,000 to 2,499..................................................... 12.2 4.1 2.1 0.7

  10. Total..........................................................................

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

    4.2 7.6 16.6 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 1.0 0.2 0.8 500 to 999........................................................... 23.8 6.3 1.4 4.9 1,000 to 1,499..................................................... 20.8 5.0 1.6 3.4 1,500 to 1,999..................................................... 15.4 4.0 1.4 2.6 2,000 to 2,499..................................................... 12.2 2.6 0.9 1.7 2,500 to

  11. Total..........................................................................

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

    7.1 19.0 22.7 22.3 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 2.1 0.6 Q 0.4 500 to 999........................................................... 23.8 13.6 3.7 3.2 3.2 1,000 to 1,499..................................................... 20.8 9.5 3.7 3.4 4.2 1,500 to 1,999..................................................... 15.4 6.6 2.7 2.5 3.6 2,000 to 2,499..................................................... 12.2 5.0 2.1

  12. Total................................................

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

    .. 111.1 86.6 2,522 1,970 1,310 1,812 1,475 821 1,055 944 554 Total Floorspace (Square Feet) Fewer than 500............................. 3.2 0.9 261 336 162 Q Q Q 334 260 Q 500 to 999.................................... 23.8 9.4 670 683 320 705 666 274 811 721 363 1,000 to 1,499.............................. 20.8 15.0 1,121 1,083 622 1,129 1,052 535 1,228 1,090 676 1,500 to 1,999.............................. 15.4 14.4 1,574 1,450 945 1,628 1,327 629 1,712 1,489 808 2,000 to

  13. Total..........................................................

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

    .. 111.1 24.5 1,090 902 341 872 780 441 Total Floorspace (Square Feet) Fewer than 500...................................... 3.1 2.3 403 360 165 366 348 93 500 to 999.............................................. 22.2 14.4 763 660 277 730 646 303 1,000 to 1,499........................................ 19.1 5.8 1,223 1,130 496 1,187 1,086 696 1,500 to 1,999........................................ 14.4 1.0 1,700 1,422 412 1,698 1,544 1,348 2,000 to 2,499........................................ 12.7

  14. Total...................................................................

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

    Floorspace (Square Feet) Total Floorspace 1 Fewer than 500............................................ 3.2 0.4 Q 0.6 1.7 0.4 500 to 999................................................... 23.8 4.8 1.4 4.2 10.2 3.2 1,000 to 1,499............................................. 20.8 10.6 1.8 1.8 4.0 2.6 1,500 to 1,999............................................. 15.4 12.4 1.5 0.5 0.5 0.4 2,000 to 2,499............................................. 12.2 10.7 1.0 0.2 Q Q 2,500 to

  15. Total.........................................................................

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

    Floorspace (Square Feet) Total Floorspace 2 Fewer than 500.................................................. 3.2 Q 0.8 0.9 0.8 0.5 500 to 999.......................................................... 23.8 1.5 5.4 5.5 6.1 5.3 1,000 to 1,499.................................................... 20.8 1.4 4.0 5.2 5.0 5.2 1,500 to 1,999.................................................... 15.4 1.4 3.1 3.5 3.6 3.8 2,000 to 2,499.................................................... 12.2 1.4 3.2 3.0 2.3 2.3

  16. Total..........................................................................

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

    25.6 40.7 24.2 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.5 0.9 1.0 500 to 999........................................................... 23.8 4.6 3.9 9.0 6.3 1,000 to 1,499..................................................... 20.8 2.8 4.4 8.6 5.0 1,500 to 1,999..................................................... 15.4 1.9 3.5 6.0 4.0 2,000 to 2,499..................................................... 12.2 2.3 3.2 4.1

  17. Total..........................................................................

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

    7.1 7.0 8.0 12.1 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.4 Q Q 0.5 500 to 999........................................................... 23.8 2.5 1.5 2.1 3.7 1,000 to 1,499..................................................... 20.8 1.1 2.0 1.5 2.5 1,500 to 1,999..................................................... 15.4 0.5 1.2 1.2 1.9 2,000 to 2,499..................................................... 12.2 0.7 0.5 0.8 1.4

  18. Total...........................................................

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

    26.7 28.8 20.6 13.1 22.0 16.6 38.6 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................... 3.2 1.9 0.9 Q Q Q 1.3 2.3 500 to 999........................................... 23.8 10.5 7.3 3.3 1.4 1.2 6.6 12.9 1,000 to 1,499..................................... 20.8 5.8 7.0 3.8 2.2 2.0 3.9 8.9 1,500 to 1,999..................................... 15.4 3.1 4.2 3.4 2.0 2.7 1.9 5.0 2,000 to 2,499..................................... 12.2 1.7 2.7 2.9 1.8 3.2 1.1 2.8

  19. Level: National Data; Row: NAICS Codes; Column: Levels of Price Difference;

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

    Next MECS will be fielded in 2015 Table 10.17 Percent of Establishments by Levels of Price Difference that Would Cause Fuel Switching from LPG to a Less Expensive Substitute, 2010; Level: National Data; Row: NAICS Codes; Column: Levels of Price Difference; Unit: Establishment Counts. Would Switch Would Not Estimate to More NAICS Establishments Switch Due 1 to 10 11 to 25 26 to 50 Over 50 Cannot Expensive Code(a) Subsector and Industry Able to Switch(b) to Price Percent Percent Percent Percent

  20. Manufacturing Energy and Carbon Footprint - Sector: Glass (NAICS...

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

    Equivalent) Total Emissions Offsite Emissions + Onsite Emissions Energy Use (TBtu ... Total Onsite 0 3 1 Fuel Type % of Total Natural Gas 95% Coke and Breeze 1% Distillate and ...

  1. Qualifying Wood Stove Deduction | Department of Energy

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

    Total cost, exclusive of taxes, interest and other finance charges Summary This incentive allows Arizona taxpayers to deduct the cost of converting an existing wood fireplace to a ...

  2. Manufacturing Energy and Carbon Footprint - Sector: Cement (NAICS...

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

    Emissions Energy Use (TBtu Trillion British Thermal Units) All Energy Electricity Steam Fuel Losses Total Onsite 0 3 1 Fuel Type % of Total Coal 69% Petroleum Coke ...

  3. Petroleum Refining Sector (NAICS 324110) Energy and GHG Combustion Emissions Profile, November 2012

    Energy Savers [EERE]

    69 2.4 PETROLEUM REFINING SECTOR (NAICS 324110) 2.4.1. Overview of the Petroleum Refining Manufacturing Sector Petroleum refining is a complex industry that generates a diverse slate of fuel products and petrochemicals, from gasoline to asphalt. Refining requires a range of processing steps, including distillation, cracking, reforming, and treating. Most of these processes are highly reliant on process heating and steam energy. Petroleum refineries are an essential part of the U.S. economy.

  4. Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;

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

    Next MECS will be conducted in 2010 Table 5.3 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS for Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Code(a) End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons)

  5. Manufacturing Energy and Carbon Footprint - Sector: Chemicals (NAICS 325), January 2014 (MECS 2010)

    Energy Savers [EERE]

    Chemicals (NAICS 325) Process Energy Electricity and Steam Generation Losses Process Losses 381 Nonprocess Losses 4,252 871 Steam Distribution Losses 247 86 Nonprocess Energy 2,447 Electricity Generation Steam Generation 4,252 324 Prepared for the U.S. Department of Energy, Advanced Manufacturing Office by Energetics Incorporated 229 2,364 450 Generation and Transmission Losses Generation and Transmission Losses 126 905 2,594 1,745 1,476 3,221 1,355 450 1,095 28.5 78.6 107.2 52.4 145.9 15.4 252

  6. Manufacturing Energy and Carbon Footprint - Sector: Food and Beverage (NAICS 311, 312), January 2014 (MECS 2010)

    Energy Savers [EERE]

    Food and Beverage (NAICS 311, 312) Process Energy Electricity and Steam Generation Losses Process Losses 128 Nonprocess Losses 1,836 455 Steam Distribution Losses 104 72 Nonprocess Energy 919 Electricity Generation Steam Generation 1,836 41 Prepared for the U.S. Department of Energy, Advanced Manufacturing Office by Energetics Incorporated 178 835 285 Generation and Transmission Losses Generation and Transmission Losses 16 574 1,014 620 625 1,245 860 57 497 3.6 50.0 53.6 13.5 55.8 13.7 109 55.5

  7. Manufacturing Energy and Carbon Footprint - Sector: Forest Products (NAICS 321, 322), January 2014 (MECS 2010)

    Energy Savers [EERE]

    Forest Products (NAICS 321, 322) Process Energy Electricity and Steam Generation Losses Process Losses 530 Nonprocess Losses 3,152 1,016 Steam Distribution Losses 287 87 Nonprocess Energy 2,135 Electricity Generation Steam Generation 3,152 186 Prepared for the U.S. Department of Energy, Advanced Manufacturing Office by Energetics Incorporated 224 1,538 252 Generation and Transmission Losses Generation and Transmission Losses 72 507 1,762 656 1,917 2,573 759 258 1,393 16.4 45.1 61.5 10.6 64.2 9.2

  8. Manufacturing Energy and Carbon Footprint - Sector: Glass (NAICS 3272, 327993), January 2014 (MECS 2010)

    Energy Savers [EERE]

    Glass and Glass Products (NAICS 3272, 327993) Process Energy Electricity and Steam Generation Losses Process Losses 1 Nonprocess Losses 294 100 Steam Distribution Losses 0 7 Nonprocess Energy 149 Electricity Generation Steam Generation 294 0 Prepared for the U.S. Department of Energy, Advanced Manufacturing Office by Energetics Incorporated 16 180 48 Generation and Transmission Losses Generation and Transmission Losses 0 97 196 195 2 197 145 0 1 0.0 8.4 8.4 7.3 14.3 1.7 16 7.7 16.1 0.4 Fuel

  9. Manufacturing Energy and Carbon Footprint - Sector: Petroleum Refining (NAICS 324110), January 2014 (MECS 2010)

    Energy Savers [EERE]

    Petroleum Refining (NAICS 324110) Process Energy Electricity and Steam Generation Losses Process Losses 234 Nonprocess Losses 3,542 689 Steam Distribution Losses 150 22 Nonprocess Energy 2,873 Electricity Generation Steam Generation 3,542 150 Prepared for the U.S. Department of Energy, Advanced Manufacturing Office by Energetics Incorporated 59 2,734 153 Generation and Transmission Losses Generation and Transmission Losses 58 308 2,793 2,285 891 3,176 461 208 657 13.2 26.7 40.0 139.2 176.3 3.2

  10. Manufacturing Energy and Carbon Footprint - Sector: Plastics (NAICS 326), January 2014 (MECS 2010)

    Energy Savers [EERE]

    Plastics and Rubber Products (NAICS 326) Process Energy Electricity and Steam Generation Losses Process Losses 12 Nonprocess Losses 586 72 Steam Distribution Losses 8 28 Nonprocess Energy 115 Electricity Generation Steam Generation 586 1 Prepared for the U.S. Department of Energy, Advanced Manufacturing Office by Energetics Incorporated 64 187 156 Generation and Transmission Losses Generation and Transmission Losses 1 314 251 218 54 272 470 2 42 0.1 27.3 27.4 1.9 23.5 7.0 34 6.4 33.8 1.3 Fuel

  11. Manufacturing Energy and Carbon Footprint - Sector: Transportation Equipment (NAICS 336), January 2014 (MECS 2010)

    Energy Savers [EERE]

    Transportation Equipment (NAICS 336) Process Energy Electricity and Steam Generation Losses Process Losses 10 Nonprocess Losses 541 68 Steam Distribution Losses 6 48 Nonprocess Energy 143 Electricity Generation Steam Generation 541 0 Prepared for the U.S. Department of Energy, Advanced Manufacturing Office by Energetics Incorporated 115 145 132 Generation and Transmission Losses Generation and Transmission Losses 0 266 259 234 41 275 398 0 32 0.0 23.1 23.1 3.0 16.6 11.9 31 7.9 31.0 2.6 Fuel

  12. Iron and Steel Sector (NAICS 3311 and 3312) Energy and GHG Combustion Emissions Profile, November 2012

    Energy Savers [EERE]

    99 2.6 IRON AND STEEL SECTOR (NAICS 3311, 3312) 2.6.1. Overview of the Iron and Steel Manufacturing Sector The iron and steel sector is an essential part of the U.S. manufacturing sector, providing the necessary raw material for the extensive industrial supply chain. U.S. infrastructure is heavily reliant on the U.S. iron and steel sector, as it provides the foundation for construction (bridges, buildings), transportation systems (railroads, cars, trucks), utility systems (municipal water

  13. " Level: National Data and Regional Totals;"

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

    3. Quantity of Purchased Electricity, Natural Gas, and Steam, 1998;" " Level: National Data and Regional Totals;" " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;" " Unit: Physical Units or Btu." ,,,"Electricity","Components",,"Natural Gas","Components",,"Steam","Components" " "," ",,,"Electricity",,,"Natural

  14. Feasibility for Wood Heat - Collaborative Integrated Wood Energy...

    Office of Environmental Management (EM)

    for Wood Heat * Non-Profit Consortium of Ten Tribal Governments within the Yukon Flats. * ... Chalkyitsik * 80% of homes in Fort Yukon are heated by wood. Most use wood and fuel heat. ...

  15. Wood energy system design

    SciTech Connect (OSTI)

    Not Available

    1988-01-01

    This handbook, Wood Energy System Design, was prepared with the support of the Council of Great Lakes Governors and the US Department of Energy. It contains: wood fuel properties; procurement; receiving, handling, and storage; combustion; gasification; emission control; electric power generation and cogeneration; and case studies. (JF)

  16. Manufacturing Energy and Carbon Footprint - Sector: Computer, Electronics and Appliances (NAICS 334, 335), January 2014 (MECS 2010)

    Energy Savers [EERE]

    Computers, Electronics and Electrical Equipment (NAICS 334, 335) Process Energy Electricity and Steam Generation Losses Process Losses 5 Nonprocess Losses 493 46 Steam Distribution Losses 4 41 Nonprocess Energy 80 Electricity Generation Steam Generation 493 0 Prepared for the U.S. Department of Energy, Advanced Manufacturing Office by Energetics Incorporated 103 105 137 Generation and Transmission Losses Generation and Transmission Losses 0 276 208 193 24 217 413 0 19 0.0 23.9 23.9 1.4 14.4 12.4

  17. Cord Wood Testing in a Non-Catalytic Wood Stove

    SciTech Connect (OSTI)

    Butcher, T.; Trojanowski, R.; Wei, G.

    2014-06-30

    EPA Method 28 and the current wood stove regulations have been in-place since 1988. Recently, EPA proposed an update to the existing NSPS for wood stove regulations which includes a plan to transition from the current crib wood fuel to cord wood fuel for certification testing. Cord wood is seen as generally more representative of field conditions while the crib wood is seen as more repeatable. In any change of certification test fuel, there are questions about the impact on measured results and the correlation between tests with the two different fuels. The purpose of the work reported here is to provide data on the performance of a noncatalytic stove with cord wood. The stove selected has previously been certified with crib wood which provides a basis for comparison with cord wood. Overall, particulate emissions were found to be considerably higher with cord wood.

  18. Generating power with waste wood

    SciTech Connect (OSTI)

    Atkins, R.S.

    1995-02-01

    Among the biomass renewables, waste wood has great potential with environmental and economic benefits highlighting its resume. The topics of this article include alternate waste wood fuel streams; combustion benefits; waste wood comparisons; waste wood ash; pilot scale tests; full-scale test data; permitting difficulties; and future needs.

  19. James F. Wood

    Broader source: Energy.gov [DOE]

    James F. Wood is currently Deputy Assistant Secretary for Clean Coal in the Office of Fossil Energy (FE). In this position, he is responsible for the management and direction of the Office's...

  20. STEO October 2012 - wood

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

    that households across the U.S. use as a supplemental heating source. Almost half of all rural households use wood this way, in addition to using it for cooking or water heating

  1. Transportation fuels from wood

    SciTech Connect (OSTI)

    Baker, E.G.; Elliott, D.C.; Stevens, D.J.

    1980-01-01

    The various methods of producing transportation fuels from wood are evaluated in this paper. These methods include direct liquefaction schemes such as hydrolysis/fermentation, pyrolysis, and thermochemical liquefaction. Indirect liquefaction techniques involve gasification followed by liquid fuels synthesis such as methanol synthesis or the Fischer-Tropsch synthesis. The cost of transportation fuels produced by the various methods are compared. In addition, three ongoing programs at Pacific Northwest Laboratory dealing with liquid fuels from wood are described.

  2. table3.6_02

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

    Selected Wood and Wood-Related Products in Fuel Consumption, 2002; Level: National and Regional Data; Row: Selected NAICS Codes; Column: Energy Sources; Unit: Trillion Btu. S e l e c t e d W o o d a n d W o o d - R e l a t e d P r o d u c t s B i o m a s s Wood Residues and Wood-Related Pulping Liquor Wood Byproducts and RSE NAICS or Biomass Agricultural Harvested Directly from Mill Paper-Related Row Code(a) Subsector and Industry Black Liquor Total(b) Waste(c) from Trees(d) Processing(e)

  3. Precision wood particle feedstocks

    DOE Patents [OSTI]

    Dooley, James H; Lanning, David N

    2013-07-30

    Wood particles having fibers aligned in a grain, wherein: the wood particles are characterized by a length dimension (L) aligned substantially parallel to the grain, a width dimension (W) normal to L and aligned cross grain, and a height dimension (H) normal to W and L; the L.times.H dimensions define two side surfaces characterized by substantially intact longitudinally arrayed fibers; the W.times.H dimensions define two cross-grain end surfaces characterized individually as aligned either normal to the grain or oblique to the grain; the L.times.W dimensions define two substantially parallel top and bottom surfaces; and, a majority of the W.times.H surfaces in the mixture of wood particles have end checking.

  4. Feasibility for Wood Heat - Collaborative Integrated Wood Energy...

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

    for Wood Heat * Non-Profit Consortium of Ten Tribal ... Forestry, Fire Management, Self- Governance, ... coordination's across organizations 2 boilers and one ...

  5. Daniel Wood | Department of Energy

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

    Daniel Wood About Us Daniel Wood - Data Visualization and Cartographic Specialist, Office of Public Affairs Daniel Wood Daniel Wood is the Data Visualization and Cartographic Specialist in the Office of Public Affairs at the Department of Energy. He develops creative and interactive ways of viewing the Energy Department's vast array of data. You can check out some of his work here. Prior to joining the Energy.gov team, Daniel worked at a large PR firm in Washington, D.C, doing web development

  6. Wood3 Resources | Open Energy Information

    Open Energy Info (EERE)

    Wood3 Resources Jump to: navigation, search Name: Wood3 Resources Place: Houston, Texas Zip: 77056-2409 Product: Wood3 Resources is an energy project development firm run by former...

  7. URBAN WOOD/COAL CO-FIRING IN THE NIOSH BOILER PLANT

    SciTech Connect (OSTI)

    James T. Cobb Jr.

    2005-02-10

    Phase I of this project began by obtaining R&D variances for permits at the NIOSH boilerplant (NBP), Emery Tree Service (ETS) and the J. A. Rutter Company (JARC) for their portions of the project. Wood for the test burn was obtained from the JARC inventory (pallets), Thompson Properties and Seven D Corporation (construction wood), and the Arlington Heights Housing Project (demolition wood). The wood was ground at ETS and JARC, delivered to the Three Rivers Terminal and blended with coal. Three one-day tests using wood/coal blends of 33% wood by volume (both construction wood and demolition wood) were conducted at the NBP. Blends using hammermilled wood were operationally successful. Emissions of SO{sub 2} and NOx decreased and that of CO increased when compared with combusting coal alone. Mercury emissions were measured and evaluated. During the first year of Phase II the principal work focused upon searching for a replacement boilerplant and developing a commercial supply of demolition wood. The NBP withdrew from the project and a search began for another stoker boilerplant in Pennsylvania to replace it on the project. Three potential commercial demolition wood providers were contacted. Two were not be able to supply wood. At the end of the first year of Phase II, discussions were continuing with the third one, a commercial demolition wood provider from northern New Jersey. During the two-and-a-third years of the contract extension it was determined that the demolition wood from northern New Jersey was impractical for use in Pittsburgh, in another power plant in central New Jersey, and in a new wood gasifier being planned in Philadelphia. However, the project team did identify sufficient wood from other sources for the gasifier project. The Principal Investigator of this project assisted a feasibility study of wood gasification in Clarion County, Pennsylvania. As a result of the study, an independent power producer in the county has initiated a small wood gasification project at its site. Throughout much of this total project the Principal Investigator has counseled two small businesses in developing a waxed cardboard pellet business. A recent test burn of this biofuel appears successful and a purchase contract is anticipated soon. During the past two months a major tree-trimming firm has shown an active interest in entering the wood-chip fuel market in the Pittsburgh area and has contacted the NBP, among others, as potential customers. The NBP superintendent is currently in discussion with the facilities management of the Bruceton Research Center about resuming their interest in cofiring this renewable fuel to the stoker there.

  8. Particulate emissions from residential wood combustion: Final report: Norteast regional Biomass Program

    SciTech Connect (OSTI)

    Not Available

    1987-01-01

    The objective of this study was to provide a resource document for the Northeastern states when pursuing the analysis of localized problems resulting from residential wood combustion. Specific tasks performed include assigning emission rates for total suspended particulates (TSP) and benzo(a)pyrene (BaP) from wood burning stoves, estimating the impact on ambient air quality from residential wood combustion and elucidating the policy options available to Northeastern states in their effort to limit any detrimental effects resulting from residential wood combustion. Ancillary tasks included providing a comprehensive review on the relevant health effects, indoor air pollution and toxic air pollutant studies. 77 refs., 11 figs., 25 tabs.

  9. Fort Yukon Wood Energy Program: Wood Boiler Deployment

    Energy Savers [EERE]

    Fort Yukon Wood Energy Program: Wood Boiler Deployment Department of Energy Tribal Program Review Golden, Colorado March 26, 2014 Presented by: Kelda Britton CATG Department of Natural Resources Please contact me for a full list of citations. kelda@catg.org CATG is a consortium of 10 Gwich'in and Koyukon Athabascan tribes located throughout the Yukon Flats. Arctic Village, Beaver, Birch Creek, Canyon Village, Chalkyitsik, Circle, Fort Yukon, Rampart, Stevens Village and Venetie are the remote

  10. Fort Yukon Wood Energy Program: Wood Boiler Deployment

    Energy Savers [EERE]

    Wood Energy Program: Wood Boiler Deployment Department of Energy Tribal Program Review Golden, Colorado May 7 2015 Presented by: Frannie Hughes Gwitchyaa Zhee Corporation CEO Work compiled by Kelda Britton, CATG NR Director Please contact me for a full list of citations. kelda@catg.org CATG is a consortium of 10 Gwich'in and Koyukon Athabascan tribes located throughout the Yukon Flats. Arctic Village, Beaver, Birch Creek, Canyon Village, Chalkyitsik, Circle, Fort Yukon, Rampart, Stevens Village

  11. "NAICS",,"per Employee","of Value Added","of Shipments" "Code...

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

    Receipts" ,"(million dollars)" ," Under 20",3,3,3 ," 20-49",5,5,4 ," 50-99",6,5,4 ," 100-249",5,5,4 ," 250-499",7,9,7 ," 500 and Over",3,2,2 ,"Total",2,2,2 311,"FOOD" ,"Value of ...

  12. "NAICS",,"per Employee","of Value Added","of Shipments" "Code...

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

    dollars)" ," Under 20",2.3,2.3,2.1 ," 20-49",4.9,4.9,4.2 ," 50-99",5.8,5.8,5.2 ," 100-249",6.2,6.2,5.2 ," 250-499",8.1,8,7.1 ," 500 and Over",4.2,3,2.7 ,"Total",1.9,2,1.8 ...

  13. Stanford - Woods Institute for the Environment | Open Energy...

    Open Energy Info (EERE)

    Stanford - Woods Institute for the Environment Jump to: navigation, search Logo: Stanford- Woods Institute for the Environment Name: Stanford- Woods Institute for the Environment...

  14. Council of Athabascan Tribal Governments - Wood Energy Program...

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

    - capacity to deliver split fire wood, boiler round wood, wood chips for chip boilers; ... of heat and is responsible for feeding boiler Forest and land management plan CATG ...

  15. Wood To Fuel LLC | Open Energy Information

    Open Energy Info (EERE)

    To Fuel LLC Jump to: navigation, search Name: Wood To Fuel LLC Place: Lackawana, New York Zip: 14208 Product: Wood fuelproduct supplier. Coordinates: 41.401932, -75.637848...

  16. Processes change the look of wood fuel

    SciTech Connect (OSTI)

    Zerbe, J.I.

    1980-06-01

    The various forms of wood-derived fuels are reviewed, these include briquetted and pelleted wood products. Charcoal, obtained by pyrolysis has a heating value one and a half times the equivalent weight of the dry wood from which it was made. By process modifications, more oil and gas may be produced instead of charcoal. At Albany, Oregon two barrels of oil are produced daily by hydrogenation of one ton of dry wood chips. It is stated that methanol can be synthesized from solid wood - by wood gasification - with a 38% energy efficiency while ethanol can also be made from wood. The use of wood fuels for electric power generation and cogeneration are also mentioned.

  17. Processes change the look of wood fuel

    SciTech Connect (OSTI)

    Zerbe, J.I.

    1980-06-01

    The various forms of wood-derived fuels are reviewed; these include briquetted and pelleted wood products. Charcoal, obtained by pyrolysis has a heating value one and a half times the equivalent weight of the dry wood from which it was made. By process modifications, more oil and gas may be produced instead of charcoal. At Albany, Oregon two barrels of oil are produced daily by hydrogenation of one ton of dry wood chips. It is stated that methanol can be synthesized from solid wood - by wood gasification - with a 38% energy efficiency while ethanol can also be made from wood. The use of wood fuels for electric power generation and cogeneration are also mentioned.

  18. Duffield Wood Pellets | Open Energy Information

    Open Energy Info (EERE)

    Duffield Wood Pellets Jump to: navigation, search Name: Duffield Wood Pellets Place: North Yorkshire, United Kingdom Zip: HG4 5JB Product: A Yorkshire-based, family-run producer of...

  19. Wood and Pellet Heating | Department of Energy

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

    Home Heating Systems » Wood and Pellet Heating Wood and Pellet Heating A wood stove on a stone hearth. | Photo courtesy of ©iStockphoto/King_Louie A wood stove on a stone hearth. | Photo courtesy of ©iStockphoto/King_Louie Today you can choose from a new generation of wood- and pellet-burning appliances that are cleaner burning, more efficient, and powerful enough to heat many average-sized, modern homes. Pellet fuel appliances burn small pellets that measure 3/8 to 1 inch in length.

  20. " Row: NAICS Codes;"

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

    ... and Refining of Nonferrous Metals, except Copper and Aluminum",10,83,158312.4,704,11.4 ... and Refining of Nonferrous Metals, except Copper and Aluminum",0,0,0,0,0 3315," ...

  1. " Row: NAICS Codes;" " ...

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

    by Quantity of Purchased Electricity, Natural Gas, and Steam, 2006;" " Level: National Data; ...W","W",0,26,4,22,0,"W",0,"W",0 325182," Carbon Black ",24,24,0,0,24,8,16,0,0,0,0,0 ...

  2. " Row: NAICS Codes;" " ...

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

    by Quantity of Purchased Electricity, Natural Gas, and Steam, 2002;" " Level: National Data; ...",29,6,"W","W",5,"W","W",0,0.9 325182," Carbon Black ",22,22,0,0,22,15,7,0,0,0,0,0,1.1 ...

  3. " Row: NAICS Codes;" " ...

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

    Technologies;" " Unit: Establishment Counts." ,,,"Computer Control of Building Wide Evironment(c)",,,"Computer Control of Processes or Major Energy-Using Equipment(d)",,,"Waste ...

  4. " Row: NAICS Codes;" " Column...

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

    Technologies;" " Unit: Establishment Counts." ,,,"Computer Control of Building Wide Evironment(c)",,,"Computer Control of Processes or Major Energy-Using Equipment(d)",,,"Waste ...

  5. " Row: NAICS Codes;" " ...

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

    Establishment Counts." " "," "," ",,,"Computer","Control of","Processes"," "," "," ",,,," ",," " " "," ","Computer Control","of Building-Wide","Environment(b)","or ...

  6. " Row: NAICS Codes;" " ...

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

    " Unit: Establishment Counts." " "," ",,"Computer Control of Building Wide Evironment(c)",,,"Computer Control of Processes or Major Energy-Using Equipment(d)",,,"Waste ...

  7. Fort Yukon Wood Energy Program: Wood Boiler Deployment

    Energy Savers [EERE]

    By: Karonhiakta'tie Bryan Maracle and Bill Wall - Council of Athabascan Tribal Governments (CATG) - Consortia of 10 Tribal Governments of Interior Alaska - Gwitchyaa Zhee Corporation (GZ Corp) - Alaska Native Claims Settlement Act Village Corporation - Alaska Village Initiatives (AVI) - Rural Alaska economic development organization - First off grid, off road system biomass CHP in the world - 8 miles north of the Arctic Circle - New Power House - Wood Chip Boiler - District Heating loop

  8. Country Total

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

    Country Total Percent of U.S. total China 1,461,074 34 Republic of Korea 172,379 4 Taiwan 688,311 16 All others 1,966,263 46 Total 4,288,027 100 Note: All Others includes Canada, Czech Republic, Federal Republic of Germany, Malaysia, Mexico, Philippines and Singapore Source: U.S. Energy Information Administration, Form EIA-63B, 'Annual Photovoltaic Cell/Module Shipments Report.' Table 7 . Photovoltaic module import shipments by country, 2013 (peak kilowatts)

  9. Grant F. Wood | Argonne Leadership Computing Facility

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

    Grant F. Wood Consultant - Project Management 9700 S. Cass Avenue Building 240 Wkstn. 3D18 Argonne, IL 60439 630-252-5315 gfwood

  10. Arbuthnott Wood Pellets Ltd | Open Energy Information

    Open Energy Info (EERE)

    Scotland, United Kingdom Zip: AB30 1PA Product: Wood pellet producer. Coordinates: 56.932781, -2.42531 Show Map Loading map... "minzoom":false,"mappingservice":"googlema...

  11. One on One- Douglas K Woods

    Broader source: Energy.gov [DOE]

    A September 2014 interview with Douglas K Woods, the President of the Association for Manufacturing Technology, on the state of US manufacturing.

  12. Wood, Wisconsin: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Wood, Wisconsin: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 43.568752, -90.330887 Show Map Loading map... "minzoom":false,"mappingservice"...

  13. State Total

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

    State Total Percent of U.S. total Alabama 1,652 0.0 Alaska 152 0.0 Arizona 912,975 19.9 Arkansas 2,724 0.1 California 2,239,983 48.8 Colorado 49,903 1.1 Connecticut 33,627 0.7 Delaware 3,080 0.1 District of Columbia 1,746 0.0 Florida 22,061 0.5 Georgia 99,713 2.2 Guam 39 0.0 Hawaii 126,595 2.8 Idaho 1,423 0.0 Illinois 8,176 0.2 Indiana 12,912 0.3 Iowa 4,480 0.1 Kansas 523 0.0 Kentucky 2,356 0.1 Louisiana 27,704 0.6 Maine 993 0.0 Maryland 30,528 0.7 Massachusetts 143,539 3.1 Michigan 3,416 0.1

  14. Rachel Woods-Robinson | Department of Energy

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

    Rachel Woods-Robinson About Us Rachel Woods-Robinson - Guest Blogger, Cycle for Science Most Recent Rain or Shine: We Cycle for Science July 2 Mountains, and Teachers, and a Bear, Oh My! June 2 Sol-Cycle: Biking Across America for Science Education May 1

  15. Flash pyrolysis products from beech wood

    SciTech Connect (OSTI)

    Beaumont, O.

    1985-04-01

    Flash pyrolysis products from beech wood obtained in an original pyrolysis apparatus were analyzed. The analytical procedure is described, and the composition of pyrolytic oil presented with more than 50 compounds. Comparison of pyrolytic products of cellulose, hemicellulose, and wood indicates the origin of each product. 19 references.

  16. Lake of the Woods County, Minnesota: Energy Resources | Open...

    Open Energy Info (EERE)

    in Lake of the Woods County, Minnesota Baudette, Minnesota Roosevelt, Minnesota Williams, Minnesota Retrieved from "http:en.openei.orgwindex.php?titleLakeoftheWoodsC...

  17. Woods Hole Research Center Wind Turbine | Open Energy Information

    Open Energy Info (EERE)

    Hole Research Center Wind Turbine Jump to: navigation, search Name Woods Hole Research Center Wind Turbine Facility Woods Hole Research Center Wind Turbine Sector Wind energy...

  18. Council of Athabascan Tribal Governments - Wood Energy Program...

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

    0 November 2008 Gwitchyaa Zhee Corporation CATG - AWEA For-Profit Wood Energy Business Model Fort Yukon * Forest Management Service - CATG * For-Profit Wood Utility Company -...

  19. Compound and Elemental Analysis At Little Valley Area (Wood,...

    Open Energy Info (EERE)

    Little Valley Area (Wood, 2002) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Compound and Elemental Analysis At Little Valley Area (Wood,...

  20. Alaska Wood Biomass Energy Project Final Report

    SciTech Connect (OSTI)

    Jonathan Bolling

    2009-03-02

    The purpose of the Craig Wood Fired Boiler Project is to use waste wood from local sawmilling operations to provide heat to local public buildings, in an effort to reduce the cost of operating those buildings, and put to productive use a byproduct from the wood milling process that otherwise presents an expense to local mills. The scope of the project included the acquisition of a wood boiler and the delivery systems to feed wood fuel to it, the construction of a building to house the boiler and delivery systems, and connection of the boiler facility to three buildings that will benefit from heat generated by the boiler: the Craig Aquatic Center, the Craig Elementary School, and the Craig Middle School buildings.

  1. Solvolytic liquefaction of wood under mild conditions

    SciTech Connect (OSTI)

    Yu, S.M.

    1982-04-01

    Conversion of wood to liquid products requires cleavage of bonds which crosslink the wood structure. This study examines a low-severity wood solubilization process utilizing a solvent medium consisting of a small amount of sulfuric acid and a potentially wood-derivable alcohol. In one half hour of reaction time at 250/sup 0/C under 15 psia starting nitrogen pressure, over 95% of the wood (maf) was rendered acetone-soluble. The product is a soft, black, bitumen-like solid at room temperature but readily softens at 140/sup 0/C. Between 25 and 50% of the original wood oxygen, depending on alcohol used, was removed as water. Approximately 2 to 17% of the alcohols were retained in the product. Gel permeation chromatography showed that the product's median molecular weight is around 300. Based on experimental and literature results, a mechanism for wood solubilization is proposed. This involves protonation of the etheric oxygen atoms, leading to subsequent bond scission to form carbonium ions which are stabilized by solvent alkoxylation. At severe conditions, polymerization and condensation reactions result in acetone-insoluble materials.

  2. Wood fuel in fluidized bed boilers

    SciTech Connect (OSTI)

    Virr, M.J.

    1982-01-01

    Development of fluidized bed fire-tube and water-tube boilers for the burning of wood, gas, and refuse-derived fuel will be reviewed. Experience gained in already installed plants will be outlined. Research experiments results on the use of various forms of wood and other biomass fuels, such as wood chips, pellets, peach pits, nut shells and kernels and refuse-derived fuels, will be described for small and medium sized fire-tube boilers, and for larger water-tube boilers for co-generation. (Refs. 4).

  3. Other States Natural Gas Coalbed Methane, Reserves Based Production

    Gasoline and Diesel Fuel Update (EIA)

    August 2009 Revised: October 2009 Next MECS will be conducted in 2010 Table 3.5 Selected Byproducts in Fuel Consumption, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Trillion Btu. Waste Blast Pulping Liquor Oils/Tars NAICS Furnace/Coke Petroleum or Wood Chips, and Waste Code(a) Subsector and Industry Total Oven Gases Waste Gas Coke Black Liquor Bark Materials Total United States 311 Food 10 0 3 0 0 7 Q 3112 Grain and Oilseed Milling 7 0 1 0 0 6 *

  4. table11.3_02.xls

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

    Electricity: Components of Onsite Generation, 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Onsite-Generation Components; Unit: Million Kilowatthours. Renewable Energy (excluding Wood RSE NAICS Total Onsite and Row Code(a) Subsector and Industry Generation Cogeneration(b) Other Biomass)(c) Other(d) Factors Total United States RSE Column Factors: 0.9 0.8 1.1 1.3 311 Food 5,622 5,375 0 247 12.5 311221 Wet Corn Milling 2,755 2,717 0 38 2.6 31131 Sugar 1,126 1,077 0 48 1 311421

  5. Marcia A. Wood | Argonne National Laboratory

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

    Marcia A. Wood Group Leader, Information Solutions and Technology Assurance B.S. Computer Science, University of St. Francis Telephone 630.252.4656 Fax 630.252.6866 E-mail...

  6. Wood Fuel LP | Open Energy Information

    Open Energy Info (EERE)

    77034 Region: Texas Area Sector: Biomass Product: Wood by-products consulting and marketing Website: www.woodfuel.com Coordinates: 29.6221328, -95.1872605 Show Map Loading...

  7. From the Woods to the Refinery

    Broader source: Energy.gov [DOE]

    Breakout Session 2D—Building Market Confidence and Understanding II: Carbon Accounting and Woody Biofuels From the Woods to the Refinery Stephen S. Kelley, Principal and Department Head, Department of Forest Biomaterials, North Carolina State University

  8. Marin County- Wood Stove Replacement Rebate Program

    Broader source: Energy.gov [DOE]

    Homes in the San Geronimo Valley (Forest Knolls, Lagunitas, San Geronimo, and Woodacre) can receive a rebate of $1,500 for the removal and replacement of non-certified wood burning appliances with...

  9. Wood Energy Ltd | Open Energy Information

    Open Energy Info (EERE)

    Energy Ltd Jump to: navigation, search Name: Wood Energy Ltd Place: Devon, United Kingdom Zip: EX16 9EU Product: Specialises in the design, installation and service of automatic...

  10. Wood and Pellet Heating Basics | Department of Energy

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

    Wood and Pellet Heating Basics Wood and Pellet Heating Basics August 16, 2013 - 3:02pm Addthis Wood-burning and pellet fuel appliances use biomass or waste resources to heat homes or buildings. Types of Wood- and Pellet-Burning Appliances The following is a brief overview of the different types of wood and pellet fuel appliances available. High-Efficiency Fireplaces and Fireplace Inserts Designed more for show, traditional open masonry fireplaces should not be considered heating devices.

  11. URBAN WOOD/COAL CO-FIRING IN THE BELLEFIELD BOILERPLANT

    SciTech Connect (OSTI)

    James T. Cobb Jr.; Gene E. Geiger; William W. Elder III; William P. Barry; Jun Wang; Hongming Li

    2004-04-08

    An Environmental Questionnaire for the demonstration at the Bellefield Boiler Plant (BBP) was submitted to the national Energy Technology Laboratory. An R&D variance for the air permit at the BBP was sought from the Allegheny County Health Department (ACHD). R&D variances for the solid waste permits at the J. A. Rutter Company (JARC), and Emery Tree Service (ETS) were sought from the Pennsylvania Department of Environmental Protection (PADEP). Construction wood was acquired from Thompson Properties and Seven D Corporation. Verbal authorizations were received in all cases. Memoranda of understanding were executed by the University of Pittsburgh with BBP, JARC and ETS. Construction wood was collected from Thompson Properties and from Seven D Corporation. Forty tons of pallet and construction wood were ground to produce BioGrind Wood Chips at JARC and delivered to Mon Valley Transportation Company (MVTC). Five tons of construction wood were hammer milled at ETS and half of the product delivered to MVTC. Blends of wood and coal, produced at MVTC by staff of JARC and MVTC, were shipped by rail to BBP. The experimental portion of the project was carried out at BBP in late March and early April 2001. Several preliminary tests were successfully conducted using blends of 20% and 33% wood by volume. Four one-day tests using a blend of 40% wood by volume were then carried out. Problems of feeding and slagging were experienced with the 40% blend. Light-colored fly ash was observed coming from the stack during all four tests. Emissions of SO{sub 2}, NOx and total particulates, measured by Energy Systems Associates, decreased when compared with combusting coal alone. A procedure for calculating material and energy balances on BBP's Boiler No.1 was developed, using the results of an earlier compliance test at the plant. Material and energy balances were then calculated for the four test periods. Boiler efficiency was found to decrease slightly when the fuel was shifted from coal to the 40% blend. Neither commercial production of sized urban waste wood for the energy market in Pittsburgh nor commercial cofiring of wood/coal blends at BBP are anticipated in the near future.

  12. Mass transport parameters of aspen wood chip beds via stimulus-response tracer techniques

    SciTech Connect (OSTI)

    Hradil, G.; Calo, J.M.; Wunderlich, T.K. Jr. )

    1993-02-05

    A stimulus-response tracer technique has been used to characterize packed beds of untreated, as well as acid prehydrolyzed, and enzymatically hydrolyzed aspen wood chips. Glucose was used as the trace. Bulk liquid phase dispersion, interphase mass transfer, and intraparticle diffusion coefficients were determined for these materials as well as effective porosities and tortuosities. The untreated and prehydrolyzed aspen wood chips were found to have effective void fractions of ca. 0.8, while the enzymatically hydrolyzed wood chips exhibited a void fraction of 0.37. Intraparticle diffusion was approximately twice as rapid in the prehydrolyzed and enzymatically hydrolyzed wood chips as in the untreated wood chips. Also, under the current experimental conditions, intraparticle diffusional transport resistance accounted for roughly half of the total tracer pulse dispersion. It is demonstrated that stimulus-response tracer techniques can be useful and convenient probes for beds of lignocellulosic, or other porous materials, which vary in character with extent of conversion and/or treatment.

  13. International Trade of Wood Pellets (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2013-05-01

    The production of wood pellets has increased dramatically in recent years due in large part to aggressive emissions policy in the European Union; the main markets that currently supply the European market are North America and Russia. However, current market circumstances and trade dynamics could change depending on the development of emerging markets, foreign exchange rates, and the evolution of carbon policies. This fact sheet outlines the existing and potential participants in the wood pellets market, along with historical data on production, trade, and prices.

  14. New England Wood Pellet LLC | Open Energy Information

    Open Energy Info (EERE)

    Pellet LLC Jump to: navigation, search Name: New England Wood Pellet LLC Place: Jaffrey, New Hampshire Zip: NH 03452 Product: New England Wood Pellet LLC is a manufacturer and...

  15. Method of predicting mechanical properties of decayed wood

    DOE Patents [OSTI]

    Kelley, Stephen S.

    2003-07-15

    A method for determining the mechanical properties of decayed wood that has been exposed to wood decay microorganisms, comprising: a) illuminating a surface of decayed wood that has been exposed to wood decay microorganisms with wavelengths from visible and near infrared (VIS-NIR) spectra; b) analyzing the surface of the decayed wood using a spectrometric method, the method generating a first spectral data of wavelengths in VIS-NIR spectra region; and c) using a multivariate analysis to predict mechanical properties of decayed wood by comparing the first spectral data with a calibration model, the calibration model comprising a second spectrometric method of spectral data of wavelengths in VIS-NIR spectra obtained from a reference decay wood, the second spectral data being correlated with a known mechanical property analytical result obtained from the reference decayed wood.

  16. City of Wood River, Nebraska (Utility Company) | Open Energy...

    Open Energy Info (EERE)

    City of Wood River, Nebraska (Utility Company) Jump to: navigation, search Name: Wood River Municipal Power Place: Nebraska Phone Number: 308.583-2515; 308-583-2066 Website:...

  17. Wood County Electric Coop, Inc | Open Energy Information

    Open Energy Info (EERE)

    Wood County Electric Coop, Inc Jump to: navigation, search Name: Wood County Electric Coop, Inc Place: Texas Phone Number: 1-866-415-2951 Website: www.wcec.org Facebook: https:...

  18. "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel...

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

    Relative Standard Errors for Table 5.2;" " Unit: Percents." ,,,,,"Distillate" ,,,,,"Fuel Oil",,,"Coal" "NAICS",,,"Net","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End ...

  19. Fast Curing of Composite Wood Products

    SciTech Connect (OSTI)

    Dr. Arthur J. Ragauskas

    2006-04-26

    The overall objective of this program is to develop low temperature curing technologies for UF and PF resins. This will be accomplished by: • Identifying the rate limiting UF and PF curing reactions for current market resins; • Developing new catalysts to accelerate curing reactions at reduced press temperatures and times. In summary, these new curing technologies will improve the strength properties of the composite wood products and minimize the detrimental effects of wood extractives on the final product while significantly reducing energy costs for wood composites. This study is related to the accelerated curing of resins for wood composites such as medium density fiberboard (MDF), particle board (PB) and oriented strandboard (OSB). The latter is frequently manufactured with a phenol-formaldehyde resin whereas ureaformaldehyde (UF) resins are usually used in for the former two grades of composite wood products. One of the reasons that hinder wider use of these resins in the manufacturing of wood composites is the slow curing speed as well as inferior bondability of UF resin. The fast curing of UP and PF resins has been identified as an attractive process development that would allow wood to be bonded at higher moisture contents and at lower press temperatures that currently employed. Several differing additives have been developed to enhance cure rates of PF resins including the use of organic esters, lactones and organic carbonates. A model compound study by Conner, Lorenz and Hirth (2002) employed 2- and 4-hydroxymethylphenol with organic esters to examine the chemical basis for the reported enhanced reactivity. Their studies suggested that the enhance curing in the presence of esters could be due to enhanced quinone methide formation or enhanced intermolecular SN2 reactions. In either case the esters do not function as true catalysts as they are consumed in the reaction and were not found to be incorporated in the polymerized resin product. An alternative approach to accelerated PF curing can be accomplished with the addition amines or amides. The later functionality undergoes base catalyzed hydrolysis yielding the corresponding carboxyl ate and free amine which rapidly reacts with the phenolic methylol groups facilitating polymerization and curing of the PF resin (Pizzi, 1997).

  20. Wood and Wood Waste - Energy Explained, Your Guide To Understanding Energy

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

    - Energy Information Administration Wood and Wood Waste Energy Explained - Home What Is Energy? Forms of Energy Sources of Energy Laws of Energy Units and Calculators Energy Conversion Calculators British Thermal Units (Btu) Degree-Days U.S. Energy Facts State and U.S. Territory Data Use of Energy In Industry For Transportation In Homes In Commercial Buildings Efficiency and Conservation Energy and the Environment Greenhouse Gases Effect on the Climate Where Greenhouse Gases Come From

  1. Wood-Composites Industry Benefits from ALS Research

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

    Wood-Composites Industry Benefits from ALS Research Wood-Composites Industry Benefits from ALS Research Print Thursday, 25 October 2012 10:44 paris-wood composites Wood scientist and ALS user Jesse Paris (at left) is getting an intimate, 3-D view of adhesive penetration in wood-composite structures thanks to ALS Beamline 8.3.2. He and colleagues at Oregon State University are now using the data he gathered through x-ray tomography scans at the ALS to build a predictive computer simulation model

  2. Barge Truck Total

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

    Barge Truck Total delivered cost per short ton Shipments with transportation rates over total shipments Total delivered cost per short ton Shipments with transportation rates over...

  3. " Row: NAICS Codes; Column: Electricity...

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

    ...tes",3443,0,"W",0,"W",0.9 325193," Ethyl Alcohol ",1309,0,521,32,1798,5 325199," Other ...diates",205,0,0,0,205,0.5 325193," Ethyl Alcohol ","*",0,0,0,"*",0.5 325199," Other Basic ...

  4. " Row: NAICS Codes; Column: Electricity...

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

    ...mediates",2673,0,0,0,2673 325193," Ethyl Alcohol ",7359,0,485,4,7840 325199," Other Basic ...ermediates",160,0,0,0,160 325193," Ethyl Alcohol ",72,0,0,4,69 325199," Other Basic ...

  5. " Row: NAICS Codes; Column: Electricity...

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

    ...mediates",2566,0,0,0,2566 325193," Ethyl Alcohol ",2715,2,427,0,3143 325199," Other Basic ...ermediates",178,0,0,0,178 325193," Ethyl Alcohol ",1,0,0,0,1 325199," Other Basic Organic ...

  6. Logs Wood Chips Straw Corn Switchgrass

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

    Clean energy can come from the sun. The energy in wind can make electricity. Bioenergy comes from plants we can turn into fuel. Logs Wood Chips Straw Corn Switchgrass We can use energy from the earth to heat and cool our homes. Check out these cool websites to learn more about clean energy! U.S. Department of Energy Energy Information Administration Energy Star Kids Energy Education Activities switch on clean energy (EERE) invests in clean energy technologies that strengthen the economy,

  7. Method for improving separation of carbohydrates from wood pulping and wood or biomass hydrolysis liquors

    DOE Patents [OSTI]

    Griffith, William Louis; Compere, Alicia Lucille; Leitten, Jr., Carl Frederick

    2010-04-20

    A method for separating carbohydrates from pulping liquors includes the steps of providing a wood pulping or wood or biomass hydrolysis pulping liquor having lignin therein, and mixing the liquor with an acid or a gas which forms an acid upon contact with water to initiate precipitation of carbohydrate to begin formation of a precipitate. During precipitation, at least one long chain carboxylated carbohydrate and at least one cationic polymer, such as a polyamine or polyimine are added, wherein the precipitate aggregates into larger precipitate structures. Carbohydrate gel precipitates are then selectively removed from the larger precipitate structures. The method process yields both a carbohydrate precipitate and a high purity lignin.

  8. Potential role of lignin in tomorrow's wood utilization technologies

    SciTech Connect (OSTI)

    Glasser, W.G.

    1981-03-01

    Low-grade timber supplies and wood processing residues are presently converted into paper products, used for fuel, or remain totally unused. Competition for this resource will continue to mount, particularly when manufacturers of chemicals and liquid fuels enter the market with new technologies now under development. The type of technology that concentrates on depolymerization of carbohydrates will generate large quantities of lignin-rich residues. The potential of these lignins to contribute to the economic feasibility of new chemical wood process technologies may involve degradative depolymerization to phenols and benzene, or polymer conversion into a wide variety of dispersants, binders, reinforcing and antioxidizing agents, etc. Where lignin's fuel value lies around 3 to 4 cents/lb. (fall of 1979), its raw material value for phenol is reported to be almost 5 cents/lb., and the value of the polymeric materials is estimated to be between 6 and 20 cents/lb. At the lower end of this range of raw material values are ligninsulfonates, which contribute nearly 98 percent to the approximately 1.5 billion lb./yr. U.S. market for lignin products. Kraft lignins are located at the opposite end of this range. Novel bioconversion-type lignins are expected to be more similar in structure and properties to kraft than to sulfite lignins. Whereas application of the dispersant properties of ligninsulfonates in tertiary oil recovery operations is expected to constitute the most significant use of lignin in terms of volume, adhesive and resin applications hold the greatest promise in terms of value. Both utilization schemes seem to require pretreatments in the form of either polymeric fractionation or chemical modification. Potential savings from the use of polymeric lignins in material systems are great.

  9. Buildings Energy Data Book: 1.3 Value of Construction and Research

    Buildings Energy Data Book [EERE]

    8 Number of Construction Employees and Total Employees for Select Building Envolope Industries (Thousand Employees) Poured Concrete Foundation and Structure Contractors (NAICS 238110) -Total Employment -Construction/Extraction Occupations -Construction/Extraction % of Total Masonry Contractors (NAICS 238140) -Total Employment -Construction/Extraction Occupations -Construction/Extraction % of Total Roofing Contractors (NAICS 238160) -Total Employment -Construction/Extraction Occupations

  10. Massachusetts Schools Switch to Wood Pellets | Department of Energy

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

    Massachusetts Schools Switch to Wood Pellets Massachusetts Schools Switch to Wood Pellets August 20, 2015 - 5:22pm Addthis Art created by a student at John Briggs Elementary School as part of their recent Green Ceremony. John Briggs Elementary is one of the Massachusetts schools switching their heating fuel source from petroleum based fuels to wood pellets. Art created by a student at John Briggs Elementary School as part of their recent Green Ceremony. John Briggs Elementary is one of the

  11. Transcriptome and Biochemical Analyses of Fungal Degradation of Wood

    Office of Scientific and Technical Information (OSTI)

    (Technical Report) | SciTech Connect Transcriptome and Biochemical Analyses of Fungal Degradation of Wood Citation Details In-Document Search Title: Transcriptome and Biochemical Analyses of Fungal Degradation of Wood Lignocellulosic accounts for a large percentage of material that can be utilized for biofuels. The most costly part of lignocellulosic material processing is the initial hydrolysis of the wood which is needed to circumvent the lignin barrier and the crystallinity of cellulose.

  12. ,"Total Natural Gas Consumption

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

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

  13. Building America Case Study: Retrofit Measure for Embedded Wood...

    Energy Savers [EERE]

    Existing Homes Building America Case Study Retrofit Measures for Embedded Wood Members in Insulated Mass Masonry Walls Lawrence, Massachusetts PROJECT INFORMATION Project Name: The...

  14. Wood-Burning Heating System Deduction | Department of Energy

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

    State Alabama Program Type Rebate Amount 100% Summary This statute allows individual taxpayers a deduction for the purchase and installation of a wood-burning heating system. The...

  15. Water Sampling At Dixie Valley Geothermal Area (Wood, 2002) ...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Dixie Valley Geothermal Area (Wood, 2002) Exploration Activity Details...

  16. Water Sampling At Little Valley Area (Wood, 2002) | Open Energy...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Little Valley Area (Wood, 2002) Exploration Activity Details Location...

  17. Water Sampling At Alvord Hot Springs Area (Wood, 2002) | Open...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Alvord Hot Springs Area (Wood, 2002) Exploration Activity Details Location...

  18. Water Sampling At Beowawe Hot Springs Area (Wood, 2002) | Open...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Beowawe Hot Springs Area (Wood, 2002) Exploration Activity Details...

  19. Water Sampling At Salton Sea Area (Wood, 2002) | Open Energy...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Salton Sea Area (Wood, 2002) Exploration Activity Details Location Salton...

  20. Water Sampling At Mccredie Hot Springs Area (Wood, 2002) | Open...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Mccredie Hot Springs Area (Wood, 2002) Exploration Activity Details...

  1. Water Sampling At Umpqua Hot Springs Area (Wood, 2002) | Open...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Umpqua Hot Springs Area (Wood, 2002) Exploration Activity Details Location...

  2. Water Sampling At Zim's Hot Springs Geothermal Area (Wood, 2002...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Zim's Hot Springs Geothermal Area (Wood, 2002) Exploration Activity...

  3. Water Sampling At Heber Area (Wood, 2002) | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Heber Area (Wood, 2002) Exploration Activity Details Location Heber Area...

  4. Water Sampling At Breitenbush Hot Springs Area (Wood, 2002) ...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Breitenbush Hot Springs Area (Wood, 2002) Exploration Activity Details...

  5. Water Sampling At Crane Hot Springs Area (Wood, 2002) | Open...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Crane Hot Springs Area (Wood, 2002) Exploration Activity Details Location...

  6. Water Sampling At Mickey Hot Springs Area (Wood, 2002) | Open...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Mickey Hot Springs Area (Wood, 2002) Exploration Activity Details Location...

  7. Title: Ames Blue Alert- Wood Cabinet Falls Apart

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

    Ames Blue Alert- Wood Cabinet Falls Apart Lessons Learned Statement- Cumulative damage can cause a loss of structural integrity. When furnishings are repeatedly exposed to water,...

  8. International WoodFuels LLC | Open Energy Information

    Open Energy Info (EERE)

    Maine Zip: 4101 Product: Maine-based pellet producer and installer of commercial wood pellet heating systems. Coordinates: 45.511795, -122.675629 Show Map Loading map......

  9. Characterization of emissions from a fluidized-bed wood chip home heating furnace. Final report Apr 82-May 83

    SciTech Connect (OSTI)

    Truesdale, R.S.

    1984-03-01

    The report gives results of measurements of emissions from a residential wood-chip combustor, operated in both a fluidized-bed and cyclone-fired mode, and their comparison with those from a conventional woodstove and industrial wood-fired boilers. In general, the combustion efficiency of the fluidized-bed and cyclone-fired wood-chip burner is higher than that of conventional woodstoves. Concomitant with this increase in efficiency is a decrease in most emissions. For the fluidized-bed tests, significant reductions of total hydrocarbons and CO were observed, compared to woodstove emissions. The cyclone test showed PAH levels far below those of conventional woodstoves, approaching levels measured in industrial wood-fired boilers. A baghouse, installed during two fluidized-bed tests, was extremely effective in reducing both particulate and PAH emissions. Method 5 samples from above the fluid bed suggest that appreciable PAH is formed in the upper region of the furnace or in the watertube heat exchangers. In general, the cyclone-fired mode was more effective in reducing emissions from residential wood combustion than the fluidized-bed mode.

  10. Wood Pulp Digetster Wall Corrosion Investigation

    SciTech Connect (OSTI)

    Giles, GE

    2003-09-18

    The modeling of the flow in a wood pulp digester is but one component of the investigation of the corrosion of digesters. This report describes the development of a Near-Wall-Model (NWM) that is intended to couple with a CFD model that determines the flow, heat, and chemical species transport and reaction within the bulk flow of a digester. Lubrication theory approximations were chosen from which to develop a model that could determine the flow conditions within a thin layer near the vessel wall using information from the interior conditions provided by a CFD calculation of the complete digester. The other conditions will be determined by coupled solutions of the wood chip, heat, and chemical species transport and chemical reactions. The NWM was to couple with a digester performance code in an iterative fashion to provide more detailed information about the conditions within the NW region. Process Simulations, Ltd (PSL) is developing the digester performance code. This more detailed (and perhaps more accurate) information from the NWM was to provide an estimate of the conditions that could aggravate the corrosion at the wall. It is intended that this combined tool (NWM-PSL) could be used to understand conditions at/near the wall in order to develop methods to reduce the corrosion. However, development and testing of the NWM flow model took longer than anticipated and the other developments (energy and species transport, chemical reactions and linking with the PSL code) were not completed. The development and testing of the NWM are described in this report. In addition, the investigation of the potential effects of a clear layer (layer reduced in concentration of wood chips) near the wall is reported in Appendix D. The existence of a clear layer was found to enhance the flow near the wall.

  11. Table 3.6 Selected Wood and Wood-Related Products in Fuel...

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

    Column: Energy Sources;" " Unit: Trillion Btu." ,,"S e l e c t e d","W o o d","a n d","W o o d -","R e l a t e d","P r o d u c t s" ,,,,,"B i o m a s s" ,,,,,,"Wood Residues" ...

  12. Table N5.2. Selected Wood and Wood-Related Products in Fuel...

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

    Column: Energy Sources;" " Unit: Trillion Btu." ,,"S e l e c t e d","W o o d","a n d","W o o d -","R e l a t e d","P r o d u c t s" ,,,,,"B i o m a s s" ,,,,,,"Wood Residues" ...

  13. Buildings Energy Data Book: 1.3 Value of Construction and Research

    Buildings Energy Data Book [EERE]

    9 Number of Construction Employees and Total Employees for Select Building Equipment Industries (Thousand Employees) Electrical Contractors and Other Wiring Installation Contractors (NAICS 238210) -Total Employment -Construction/Extraction Occupations -Construction/Extraction % of Total Plumbing, Heating, and Air-Conditioning Contractors (NAICS 238220) -Total Employment -Construction/Extraction Occupations -Construction/Extraction % of Total Other Building Equipment Contractors (NAICS 238290)

  14. Fuels for Schools Program Uses Leftover Wood to Warm Buildings

    Broader source: Energy.gov [DOE]

    In parts of this country, wood seems like the outsider in the biomass family. New ethanol plants that grind down millions of bushels of corn in the Midwest and breakthroughs in algae along the coasts always garner the most attention. But in states like Montana, a place with over 70 million acres of forest, wood is the biofuel of choice.

  15. Wood fuel technologies and group-oriented Timber Stand Improvement Program: model for waste wood utilization and resource renewal

    SciTech Connect (OSTI)

    Not Available

    1980-01-01

    Progress is reported on the following: educating and assisting landowners in the most efficient and profitable use of wood resources; developing local timber resources as energy alternatives by representing collective interests to Consumers Power, the woodchip industry, firewood retailers, country residents, and woodlot owners; and providing public information on the economics and methods of wood heat as a supplemental energy source. (MHR)

  16. Multipass comminution process to produce precision wood particles of uniform size and shape with disrupted grain structure from wood chips

    DOE Patents [OSTI]

    Dooley, James H; Lanning, David N

    2014-05-27

    A process of comminution of wood chips (C) having a grain direction to produce a mixture of wood particles (P), wherein the wood chips are characterized by an average length dimension (L.sub.C) as measured substantially parallel to the grain, an average width dimension (W.sub.C) as measured normal to L.sub.C and aligned cross grain, and an average height dimension (H.sub.C) as measured normal to W.sub.C and L.sub.C, and wherein the comminution process comprises the step of feeding the wood chips in a direction of travel substantially randomly to the grain direction one or more times through a counter rotating pair of intermeshing arrays of cutting discs (D) arrayed axially perpendicular to the direction of wood chip travel.

  17. Implementing Strategies for Drying and Pressing Wood Without Emissions Controls

    SciTech Connect (OSTI)

    Sujit Banerjee; Terrance Conners

    2007-09-07

    Drying and pressing wood for the manufacture of lumber, particleboard, oriented strand board (OSB), veneer and medium density fiberboard (MDF) release volatile organic compounds (VOCs) into the atmosphere. These emissions require control equipment that are capital-intensive and consume significant quantities of natural gas and electricity. The objective of our work was to understand the mechanisms through which volatile organic compounds are generated and released and to develop simple control strategies. Of the several strategies developed, two have been implemented for OSB manufacture over the course of this study. First, it was found that increasing final wood moisture by about 2-4 percentage points reduced the dryer emissions of hazardous air pollutants by over 70%. As wood dries, the escaping water evaporatively cools the wood. This cooling tapers off wood when the wood is nearly dry and the wood temperature rises. Thermal breakdown of the wood tissue occurs and VOCs are released. Raising the final wood moisture by only a few percentage points minimizes the temperature rise and reduces emissions. Evaporative cooling also impacts has implications for VOC release from wood fines. Flaking wood for OSB manufacture inevitable generates fines. Fines dry out rapidly because of their high surface area and evaporative cooling is lost more rapidly than for flakes. As a result, fines emit a disproportionate quantity of VOCs. Fines can be reduced in two ways: through screening of the green furnish and through reducing their generation during flaking. The second approach is preferable because it also increased wood yield. A procedure to do this by matching the sharpness angle of the flaker knife to the ambient temperature was also developed. Other findings of practical interests are as follows: Dielectric heating of wood under low-headspace conditions removes terpenes and other extractives from softwood; The monoterpene content in trees depend upon temperature and seasonal effects; Method 25A emissions from lumber drying can be modeled from a knowledge of the airflow through the kiln; A heat transfer model shows that VOCs released during hot-pressing mainly originate from the surface of the board; and Boiler ash can be used to adsorb formaldehyde from air streams.

  18. MECS 2006- Plastics

    Broader source: Energy.gov [DOE]

    Manufacturing Energy and Carbon Footprint for Plastics (NAICS 326) Sector with Total Energy Input, October 2012 (MECS 2006)

  19. ,"Total Fuel Oil Expenditures

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

    . Fuel Oil Expenditures by Census Region for Non-Mall Buildings, 2003" ,"Total Fuel Oil Expenditures (million dollars)",,,,"Fuel Oil Expenditures (dollars)" ,,,,,"per...

  20. ,"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...

  1. ,"Total Fuel Oil Expenditures

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

    4. Fuel Oil Expenditures by Census Region, 1999" ,"Total Fuel Oil Expenditures (million dollars)",,,,"Fuel Oil Expenditures (dollars)" ,,,,,"per Gallon",,,,"per Square Foot"...

  2. Total Space Heat-

    Gasoline and Diesel Fuel Update (EIA)

    Commercial Buildings Energy Consumption Survey: Energy End-Use Consumption Tables Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration...

  3. ,"Total Fuel Oil Expenditures

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

    A. Fuel Oil Expenditures by Census Region for All Buildings, 2003" ,"Total Fuel Oil Expenditures (million dollars)",,,,"Fuel Oil Expenditures (dollars)" ,,,,,"per Gallon",,,,"per...

  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. Total Space Heat-

    Gasoline and Diesel Fuel Update (EIA)

    Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings...

  6. Total Space Heat-

    Gasoline and Diesel Fuel Update (EIA)

    Released: September, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings*...

  7. Wood chips: an exploration of problems and opportunities. Final report

    SciTech Connect (OSTI)

    Not Available

    1985-01-01

    This report evaluates the current use of and potential market for wood chips as a fuel in the Northeast. This study covers the residential, commercial, and light industrial sectors and addresses cost, reliability, marketing systems, and technology improvements. A review of the available equipment for wood chip harvesting, processing, handling, drying, and transport is included. Three representative strategic business guides for different chip suppliers are presented. There is also a recommended action plan for future programs with initiatives that could facilitate the development of the wood chip market. 25 refs., 8 figs., 11 tabs.

  8. An economical and market analysis of Canadian wood pellets.

    SciTech Connect (OSTI)

    Peng, J. [University of British Columbia, Vancouver

    2010-08-01

    This study systematically examined the current and future wood pellet market, estimated the cost of Canadian torrefied pellets, and compared the torrefied pellets with the conventional pellets based on literature and industrial data. The results showed that the wood pellet industry has been gaining significant momentum due to the European bioenergy incentives and the rising oil and natural gas prices. With the new bioenergy incentives in USA, the future pellets market may shift to North America, and Canada can potentially become the largest pellet production centre, supported by the abundant wood residues and mountain pine beetle (MPB) infested trees.

  9. Wood-Polymer composites obtained by gamma irradiation

    SciTech Connect (OSTI)

    Gago, J.; Lopez, A.; Rodriguez, J.; Santiago, J.; Acevedo, M.

    2007-10-26

    In this work we impregnate three Peruvian woods (Calycophy spruceanum Be, Aniba amazonica Meiz and Hura crepitans L) with styrene-polyester resin and methyl methacrylate. The polymerization of the system was promoted by gamma radiation and the experimental optimal condition was obtained with styrene-polyester 1:1 and 15 kGy. The obtained composites show reduced water absorption and better mechanical properties compared to the original wood. The structure of the wood-polymer composites was studied by light microscopy. Water absorption and hardness were also obtained.

  10. Parallel Total Energy

    Energy Science and Technology Software Center (OSTI)

    2004-10-21

    This is a total energy electronic structure code using Local Density Approximation (LDA) of the density funtional theory. It uses the plane wave as the wave function basis set. It can sue both the norm conserving pseudopotentials and the ultra soft pseudopotentials. It can relax the atomic positions according to the total energy. It is a parallel code using MP1.

  11. Method for lowering the VOCS emitted during drying of wood products

    DOE Patents [OSTI]

    Banerjee, Sujit (1832 Jacksons Creek Point, Marietta, GA 30068); Boerner, James Robert (154 Junedale Rd., Cincinnati, OH 45218); Su, Wei (2262 Orleans Ave., Marietta, GA 30062)

    2000-01-01

    The present invention is directed to a method for removal of VOCs from wood products prior to drying the wood products. The method of the invention includes the steps of providing a chamber having an opening for receiving wood and loading the chamber with green wood. The wood is loaded to an extent sufficient to provide a limited headspace in the chamber. The chamber is then closed and the wood is heated in the chamber for a time and at a temperature sufficient to saturate the headspace with moisture and to substantially transfer VOCs from the wood product to the moisture in the headspace.

  12. Mission Woods, Kansas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    article is a stub. You can help OpenEI by expanding it. Mission Woods is a city in Johnson County, Kansas. It falls under Kansas's 3rd congressional district.12 References...

  13. Study of emissions from small woods - fired boiler systems

    SciTech Connect (OSTI)

    1994-12-31

    This short article announces a testing project RFP to determine the air emissions produced by small wood-chip fired combustion systems and to determine associated health risks if any.

  14. Improving combustion in residential size wood chip fireboxes

    SciTech Connect (OSTI)

    Huff, E.R.

    1982-12-01

    In a small experimental wood chip firebox with separate control of grate and overfire air, combustion intensity was increased with reduction in flyash and carbon monoxide by reducing air through the grate to a small fraction of stoichiometric air.

  15. Laguna Woods, California: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Laguna Woods is a city in Orange County, California. It falls under California's 48th...

  16. Huntington Woods, Michigan: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Huntington Woods is a city in Oakland County, Michigan. It falls under Michigan's 12th...

  17. Community Based Wood Heat System for Fort Yukon

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

    80,000 acres in one month Proposed Rural Wood Fuel Supply System *Capital costs for system capable of producing 7,000 TPY: 600,000 Key Obstacles to Overcome Development...

  18. Community Based Wood Heat System for Fort Yukon

    Office of Environmental Management (EM)

    Community Based Wood Heat System for Fort Yukon A Systems Integration Bill Wall, PhD ... nation: 6.00 per gallon of heating fuel Heat School & Gym 30,000gals 180K Run ...

  19. Wood Dale, Illinois: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Wood Dale is a city in DuPage County, Illinois. It falls under Illinois' 6th congressional...

  20. Wood County, West Virginia: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Wood County is a county in West Virginia. Its FIPS County Code is 107. It is classified as...

  1. Wood County, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Wood County is a county in Texas. Its FIPS County Code is 499. It is classified as ASHRAE...

  2. Wood Village, Oregon: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Wood Village is a city in Multnomah County, Oregon. It falls under Oregon's 3rd...

  3. Wood-Ridge, New Jersey: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Wood-Ridge, New Jersey: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 40.8456555, -74.0879195 Show Map Loading map... "minzoom":false,"mappin...

  4. Wood-Composites Industry Benefits from ALS Research

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

    that wood-composite development is something that will bolster the U.S. economy, matches the funding from the WBC. "People in this industry are always looking for ways to...

  5. Summary Max Total Units

    Energy Savers [EERE]

    Summary Max Total Units *If All Splits, No Rack Units **If Only FW, AC Splits 1000 52 28 28 2000 87 59 35 3000 61 33 15 4000 61 33 15 Totals 261 153 93 ***Costs $1,957,500.00 $1,147,500.00 $697,500.00 Notes: added several refrigerants removed bins from analysis removed R-22 from list 1000lb, no Glycol, CO2 or ammonia Seawater R-404A only * includes seawater units ** no seawater units included *** Costs = (total units) X (estimate of $7500 per unit) 1000lb, air cooled split systems, fresh water

  6. Country/Continent Total

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

    peak kilowatts) Country/Continent Total Percent of U.S. total Africa 14,279 3.7 Asia/Australia 330,200 86.2 Europe 19,771 5.1 South/Central America 7,748 2.0 Canada 5,507 1.4 Mexico 5,747 1.5 Total 383,252 100.0 Table 8. Destination of photovoltaic module export shipments, 2013 Source: U.S. Energy Information Administration, Form EIA-63B, 'Annual Photovoltaic Cell/Module Shipments Report.'

  7. Genomics of wood-degrading fungi (Journal Article) | DOE PAGES

    Office of Scientific and Technical Information (OSTI)

    Genomics of wood-degrading fungi « Prev Next » Title: Genomics of wood-degrading fungi Authors: Ohm, Robin A. ; Riley, Robert ; Salamov, Asaf ; Min, Byoungnam ; Choi, In-Geol ; Grigoriev, Igor V. Publication Date: 2014-11-01 OSTI Identifier: 1222394 Grant/Contract Number: AC02-05CH11231 Type: Publisher's Accepted Manuscript Journal Name: Fungal Genetics and Biology (Print) Additional Journal Information: Journal Name: Fungal Genetics and Biology (Print); Journal Volume: 72; Journal Issue: C;

  8. How Much Wood Would a North Country School Chip

    Broader source: Energy.gov [DOE]

    North Country School in Lake Placid, New York, recently installed a high-efficiency wood chip boiler using Recovery Act funds from the New York State Energy Research and Development Authority. Using wood sourced from their sustainably managed woodlot and local forests, the school will be able to cut energy costs by $38,970 annually and reduce carbon dioxide emissions by 184 tons per year.

  9. Evaluation of processes for producing gasoline from wood. Final report

    SciTech Connect (OSTI)

    1980-05-01

    Three processes for producing gasoline from wood by pyrolysis have been investigated. Technical and economic comparisons among the processes have been made, based on a hypothetical common plant size of 2000 tons per day green wood chip feedstock. In order to consider the entire fuel production process, the energy and cost inputs for producing and delivering the feedstock were included in the analysis. In addition, perspective has been provided by comparisons of the wood-to-gasoline technologies with other similar systems, including coal-to-methanol and various biomass-to-alcohol systems. Based on several assumptions that were required because of the candidate processes' information gaps, comparisons of energy efficiency were made. Several descriptors of energy efficiency were used, but all showed that methanol production from wood, with or without subsequent processing by the Mobil route to gasoline, appears most promising. It must be emphasized, however, that the critical wood-to-methanol system remains conceptual. Another observation was that the ethanol production systems appear inferior to the wood-to-gasoline processes. Each of the processes investigated requires further research and development to answer the questions about their potential contributions confidently. The processes each have so many unknowns that it appears unwise to pursue any one while abandoning the others.

  10. Total Space Heat-

    Gasoline and Diesel Fuel Update (EIA)

    Survey: Energy End-Use Consumption Tables Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other...

  11. ARM - Measurement - Total carbon

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

    carbon ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Total carbon The total concentration of carbon in all its organic and non-organic forms. Categories Aerosols, Atmospheric Carbon Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including

  12. " Level: National Data and Regional Totals...

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

    325199," Other Basic Organic Chemicals",5383,762,8,"W",1608,2400,"W",0... such combustible energy sources as" "wood waste, hydrogen, and waste oils and tars." " ...

  13. Moisture Distribution and Flow During Drying of Wood and Fiber

    SciTech Connect (OSTI)

    Zink-Sharp, Audrey; Hanna, Robert B.

    2001-12-28

    New understanding, theories, and techniques for moisture flow and distribution were developed in this research on wood and wood fiber. Improved understanding of the mechanisms of flake drying has been provided. Observations of flake drying and drying rate curves revealed that rate of moisture loss consisted of two falling rate periods and no constant rate drying period was observed. Convective heat transfer controls the first period, and bound water diffusion controls the second period. Influence of lower drying temperatures on bending properties of wood flakes was investigated. Drying temperature was found to have a significant influence on bending stiffness and strength. A worksheet for calculation of the energy required to dry a single strandboard flake was developed but has not been tested in an industrial setting yet. A more complete understanding of anisotropic transverse shrinkage of wood is proposed based on test results and statistical analysis. A simplified mod el of a wood cell's cross-section was drawn for calculating differential transverse shrinkage. The model utilizes cell wall thickness and microfibrillar packing density and orientation. In spite of some phenomena of cell wall structure not yet understood completely, the results might explain anisotropic transverse shrinkage to a major extent. Boundary layer theory was found useful for evaluating external moisture resistance during drying. Simulated moisture gradients were quire comparable to the actual gradients in dried wood. A mathematical procedure for determining diffusion and surface emission coefficients was also developed. Thermal conductivity models of wood derived from its anatomical structure were created and tested against experimental values. Model estimations provide insights into changes in heat transfer parameters during drying. Two new techniques for measuring moisture gradients created in wood during drying were developed. A new technique that utilizes optical properties of cobalt chloride was developed for nondestructive determination of surface moisture content. Fundamental new understanding of drying characteristics in wood and fiber has been provided that can be used by researchers to improve drying of wood and fiber. The three techniques for measuring moisture content and gradients provided in this study are efficient, practical, and economical - easy to apply by industry and researchers. An energy consumption worksheet is provided as a first step toward reducing energy consumed during drying of lumber and strandboard flakes. However, it will need additional verification and testing.

  14. Total DOE/NNSA

    National Nuclear Security Administration (NNSA)

    8 Actuals 2009 Actuals 2010 Actuals 2011 Actuals 2012 Actuals 2013 Actuals 2014 Actuals 2015 Actuals Total DOE/NNSA 4,385 4,151 4,240 4,862 5,154 5,476 7,170 7,593 Total non-NNSA 3,925 4,017 4,005 3,821 3,875 3,974 3,826 3765 Total Facility 8,310 8,168 8,245 8,683 9,029 9,450 10,996 11,358 non-NNSA includes DOE offices and Strategic Parternship Projects (SPP) employees NNSA M&O Employee Reporting

  15. Relation between combustion heat and chemical wood composition during white and brown rot

    SciTech Connect (OSTI)

    Dobry, J.; Dziurzynski, A.; Rypacek, V.

    1986-01-01

    Samples of beech and spruce wood were incubated with the white rot fungi Pleurotus ostreatus and Lentinus tigrinus and the brown rot fungi Fomitopsis pinicola and Serpula lacrymans (S. lacrimans) for four months. Decomposition (expressed as percent weight loss) and amounts of holocellulose, lignin, humic acids (HU), hymatomelanic acids (HY) and fulvo acids (FU) were determined and expressed in weight percent. Combustion heat of holocellulose and lignin was determined in healthy wood and in specimens where decomposition was greater than 50%. During white rot decomposition, combustion heat was unchanged even at high decomposition and the relative amounts of holocellulose and lignin remained the same. Total amounts of HU, HY and FU increased during the initial stages and stabilized at 20%. The content of HU plus HY was negligible even at the highest degree of decomposition. During brown rot decomposition, combustion heat was unchanged only in the initial stages, it increased continously with increasing rot. Lignin content was unchanged in the initial stages and increased after 30% weight loss. Total amounts of HU, HY and FU increased continuously, reaching higher values than in white rot decomposition; there were differences between the two species. Biosynthesis of HU plus HY began when weight loss reached 30%; there were differences in absolute and relative amounts between species. 24 references.

  16. Wood Energy Production Credit | Department of Energy

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

    be claimed for a period of five years; total tax credits cap set at 6,000,000 annually, subject to appropriations Program Info Sector Name State Administrator Division of Energy...

  17. Decision-maker's guide to wood fuel for small industrial energy users. Final report. [Includes glossary

    SciTech Connect (OSTI)

    Levi, M. P.; O'Grady, M. J.

    1980-02-01

    The technology and economics of various wood energy systems available to the small industrial and commercial energy user are considered. This book is designed to help a plant manager, engineer, or others in a decision-making role to become more familiar with wood fuel systems and make informed decisions about switching to wood as a fuel. The following subjects are discussed: wood combustion, pelletized wood, fuel storage, fuel handling and preparation, combustion equipment, retrofitting fossil-fueled boilers, cogeneration, pollution abatement, and economic considerations of wood fuel use. (MHR)

  18. Cofiring Wood and Coal to Stoker Boilers in Pittsburgh

    SciTech Connect (OSTI)

    Cobb, J.T., Jr.; Elder, W.W.

    1997-07-01

    The prime objective of the University of Pittsburgh's overall wood/coal cofiring program is the successful introduction of commercial cofiring of urban wood wastes into the stoker boilers of western Pennsylvania. Central to this objective is the demonstration test at the Pittsburgh Brewing Company. In this test the project team is working to show that two commercially-available clean wood wastes - tub-ground pallet waste and chipped clearance wood - can be included in the fuel fed daily to an industrial stoker boiler. Irrespective of its economic outcome, the technical success of the demonstration at the brewery will allow the local air quality regulation agency to permit a parametric test at the Bellefield Boiler Plant. The objective of this test is to obtain comprehensive data on all key parameters of this operational boiler while firing wood with coal. The data would then be used for thorough generic technical and economic analyses. The technical analysis would be added to the open literature for the general planning and operational guidance for boiler owners and operators. The economic analysis would gage the potential for providing this stoker fuel commercially in an urban setting and for purchasing it regularly for combustion in an urban stoker boiler.

  19. 21 briefing pages total

    Energy Savers [EERE]

    1 briefing pages total p. 1 Reservist Differential Briefing U.S. Office of Personnel Management December 11, 2009 p. 2 Agenda - Introduction of Speakers - Background - References/Tools - Overview of Reservist Differential Authority - Qualifying Active Duty Service and Military Orders - Understanding Military Leave and Earnings Statements p. 3 Background 5 U.S.C. 5538 (Section 751 of the Omnibus Appropriations Act, 2009, March 11, 2009) (Public Law 111-8) Law requires OPM to consult with DOD Law

  20. Gas pollution control apparatus and method and wood drying system employing same

    SciTech Connect (OSTI)

    Eatherton, J.R.

    1984-02-14

    Pollution control apparatus and method are disclosed in which hot exhaust gas containing pollutants including solid particles and hydrocarbon vapors is treated by transmitting such exhaust gas through a container containing wood members, such as wood chips, which serve as a filter media for filtering out such pollutants by causing such solids to deposit and such hydrocarbon vapors to condense upon the surface of the wood members. The contaminated wood chips are discharged from the filter and further processed into chip board or other commercial wood products thereby disposing of the pollutants. Lumber may be used as the wood members of the filter in a lumber kiln by deposition of solid particles on the rough surface of such lumber. The contaminated surfaces of the lumber are removed by a planer which produces a smooth finished lumber and contaminated wood chips that may be processed into chip board or other commercial wood products. A wood drying system employing such pollution control apparatus and method includes a hot air dryer for wood or other organic material, such as a wood chip rotary dryer or a wood veneer dryer, which produces hot exhaust gases containing pollutants including hydrocarbon vapors and solid particles. This hot exhaust air is transmitted through a lumber kiln to dry lumber thereby conserving heat energy and causing solid particle pollutants to deposit on the surface of the lumber. The kiln exhaust air containing solid and hydrocarbon vapor pollutants is then transmitted up through a filter stack of wood chips.

  1. Comminution process to produce precision wood particles of uniform size and shape with disrupted grain structure from wood chips

    DOE Patents [OSTI]

    Dooley, James H; Lanning, David N

    2013-08-13

    A process of comminution of wood chips (C) having a grain direction to produce a mixture of wood particles (P), wherein the wood chips are characterized by an average length dimension (L.sub.C) as measured substantially parallel to the grain, an average width dimension (W.sub.C) as measured normal to L.sub.C and aligned cross grain, and an average height dimension (H.sub.C) as measured normal to W.sub.C and L.sub.C, and wherein the comminution process comprises the step of feeding the wood chips in a direction of travel substantially randomly to the grain direction through a counter rotating pair of intermeshing arrays of cutting discs (D) arrayed axially perpendicular to the direction of wood chip travel, wherein the cutting discs have a uniform thickness (T.sub.D), and wherein at least one of L.sub.C, W.sub.C, and H.sub.C is greater than T.sub.D.

  2. Comminution process to produce precision wood particles of uniform size and shape with disrupted grain structure from wood chips

    DOE Patents [OSTI]

    Dooley, James H.; Lanning, David N.

    2015-06-23

    A process of comminution of wood chips (C) having a grain direction to produce a mixture of wood particles (P), wherein the wood chips are characterized by an average length dimension (L.sub.C) as measured substantially parallel to the grain, an average width dimension (W.sub.C) as measured normal to L.sub.C and aligned cross grain, and an average height dimension (H.sub.C) as measured normal to W.sub.C and L.sub.C, wherein W.sub.C>L.sub.C, and wherein the comminution process comprises the step of feeding the wood chips in a direction of travel substantially randomly to the grain direction through a counter rotating pair of intermeshing arrays of cutting discs (D) arrayed axially perpendicular to the direction of wood chip travel, wherein the cutting discs have a uniform thickness (T.sub.D), and wherein at least one of L.sub.C, W.sub.C, and H.sub.C is less than T.sub.D.

  3. 01-02-2008 - Wood Cabinet Falls Apart | The Ames Laboratory

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

    8 - Wood Cabinet Falls Apart Document Number: NA Effective Date: 012008 File (public): PDF icon 01-02-2008blue...

  4. Steam-explosion pretreatment of wood: effect of chip size, acid, moisture content and pressure drop

    SciTech Connect (OSTI)

    Brownell, H.H.; Yu, E.K.C.; Saddler, J.N.

    1986-06-01

    Material balances for pentosan, lignin, and hexosan, during steam-explosion pretreatment of aspenwood, showed almost quantitative recovery of cellulose in the water-insoluble fraction. Dilute acid impregnation resulted in more selective hydrolysis of pentosan relative to undesirable pyrolysis, and gave a more accessible substrate for enzymatic hydrolysis. Thermocouple probes, located inside simulated aspenwood chips heated in 240 degrees C-saturated steam, showed rapid heating of air-dry wood, whereas green or impregnated wood heated slowly. Small chips, 3.2 mm in the fiber direction, whether green or air dry gave approximately equal rates of pentosan destruction and solubilization, and similar yields of glucose and of total reducing sugars on enzmatic hydrolysis with Trichoderma harzianum. Partial pyrolysis, destroying one-third of the pentosan of aspenwood at atmospheric pressure by dry steam at 276 degrees C, gave little increase in yield of reducing sugars on enzymatic hydrolysis. Treatment with saturated steam at 240 degrees C gave essentially the same yields of butanediol and ethanol on fermentation with Klebsiella pneumoniae, whether or not 80% of the steam was bled off before explosion and even if the chips remained intact, showing that explosion was unnecessary. 17 references.

  5. Total Sales of Kerosene

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

    End Use: Total Residential Commercial Industrial Farm All Other Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: End Use Area 2009 2010 2011 2012 2013 2014 View History U.S. 269,010 305,508 187,656 81,102 79,674 137,928 1984-2014 East Coast (PADD 1) 198,762 237,397 142,189 63,075 61,327 106,995 1984-2014 New England (PADD 1A) 56,661 53,363 38,448 15,983 15,991 27,500 1984-2014 Connecticut 8,800 7,437

  6. Effect of wood chip size on update gasifier-combustor operation

    SciTech Connect (OSTI)

    Payne, F.A.; Dunlap, J.L.; Caussanel, P.

    1984-01-01

    Three wood chip sizes were tested in a 0.3 GJ/h updraft gasifier-combustor. Thermal output did not vary significantly between wood chips. Pressure and temperature profiles were measured in the gasifier bed. Channeling occurred with the small wood chips. Efficiency of the combustor was determined by a mass and energy balance and an enthalpy technique.

  7. Measure Guideline. Wood Window Repair, Rehabilitation, and Replacement

    SciTech Connect (OSTI)

    Baker, P.; Eng, P.

    2012-12-01

    This measure guideline provides information and guidance on rehabilitating, retrofitting, and replacing existing window assemblies in residential construction. The intent is to provide information regarding means and methods to improve the energy and comfort performance of existing wood window assemblies in a way that takes into consideration component durability, in-service operation, and long term performance of the strategies.

  8. Vertical feed stick wood fuel burning furnace system

    DOE Patents [OSTI]

    Hill, Richard C.

    1982-01-01

    A stove or furnace for efficient combustion of wood fuel includes a vertical feed combustion chamber (15) for receiving and supporting wood fuel in a vertical attitude or stack. A major upper portion of the combustion chamber column comprises a water jacket (14) for coupling to a source of water or heat transfer fluid for convection circulation of the fluid. The locus (31) of wood fuel combustion is thereby confined to the refractory base of the combustion chamber. A flue gas propagation delay channel (34) extending laterally from the base of the chamber affords delayed travel time in a high temperature refractory environment sufficient to assure substantially complete combustion of the gaseous products of wood burning with forced air prior to extraction of heat in heat exchanger (16). Induced draft draws the fuel gas and air mixture laterally through the combustion chamber and refractory high temperature zone to the heat exchanger and flue. Also included are active sources of forced air and induced draft, multiple circuit couplings for the recovered heat, and construction features in the refractory material substructure and metal component superstructure.

  9. Vertical feed stick wood fuel burning furnace system

    DOE Patents [OSTI]

    Hill, Richard C.

    1984-01-01

    A new and improved stove or furnace for efficient combustion of wood fuel including a vertical feed combustion chamber for receiving and supporting wood fuel in a vertical attitude or stack, a major upper portion of the combustion chamber column comprising a water jacket for coupling to a source of water or heat transfer fluid and for convection circulation of the fluid for confining the locus of wood fuel combustion to the bottom of the vertical gravity feed combustion chamber. A flue gas propagation delay channel extending from the laterally directed draft outlet affords delayed travel time in a high temperature environment to assure substantially complete combustion of the gaseous products of wood burning with forced air as an actively induced draft draws the fuel gas and air mixture laterally through the combustion and high temperature zone. Active sources of forced air and induced draft are included, multiple use and circuit couplings for the recovered heat, and construction features in the refractory material substructure and metal component superstructure.

  10. Production of chemical feedstock by the methanolysis of wood

    DOE Patents [OSTI]

    Steinberg, Meyer; Fallon, Peter

    1984-07-31

    A process for the production of ethylene, benzene and carbon monoxide from particulated biomass such as wood by reaction with methane at a temperature of from 700.degree. C. to 1200.degree. C., at a pressure of from 20 psi to 100 psi for a period of from 0.2 to 10 seconds.

  11. Production of chemical feedstock by the methanolysis of wood

    DOE Patents [OSTI]

    Steinberg, M.; Fallon, P.

    1983-06-01

    A process is discussed for the production of ethylene, benzene and carbon monoxide from particulated biomass such as wood by reaction with methane at a temperature of from 700/sup 0/C to 1200/sup 0/C, at a pressure of from 20 psi to 100 psi for a period of from 0.2 to 10 seconds.

  12. Engineering methods for the design and employment of wood cribs

    SciTech Connect (OSTI)

    Barczak, T.M. ); Gearhart, D.F. )

    1993-01-01

    Wood cribs are used extensively by the mining industry to stabilize mine openings. While the cost per crib is relatively low, their extensive use can result in annual mine costs of over $1 million. In an effort to improve the utilization of these supports and to reduce ground control hazards, the US Bureau of Mines has developed engineering methods to assist mine operators in wood-crib design and employment. Design and employment criteria are established based on the strength, stiffness, and stability of the crib structure in relation to the load conditions imposed by the mine environment. Models have been developed based on full-scale tests in the USBM's Mine Roof Simulator that compute the capacity of wood cribs of various configurations and material constructions as a function of displacement of the crib structure due to roof-and-floor convergence. These models permit the comparison of the loading characteristics and cost of employment of different crib designs, and in conjunction with roof behavior models, provide a means to determine the optimum design and employment strategy. In eastern coal mines, wood cribs generally are constructed from hardwood timbers, while softwood timbers generally are used in western coal mines. 11 refs., 27 figs., 2 tabs.

  13. Using recycled wood waste as a fuel in the northeast: A handbook for prospective urban wood waste producers, suppliers and consumers

    SciTech Connect (OSTI)

    Prast, W.G.; Donovan, C.T.

    1988-03-01

    This report provides a comprehensive analysis of existing and future markets for recycled wood wastes in the eleven-state northeast region. The purpose of the report is to estimate the availability of wood and woody materials in the solid waste stream and to determine the technical and economic viability of separating and recycling them for other uses. The topics discussed include: current and future markets for recycled wood wastes; key components of successful wood waste processing facilities; decisionmaking process used to determine technical and economic viability of a proposed processing facility; environmental regulations and the permitting process required for recycled wood waste processors and users; case studies and annotated listings of existing wood waste processors and uses; detailed assessments of market opportunities in three metropolitan areas including Boston, New York, and Philadelphia; and a proposed action plan to stimulate and facilitate future market development.

  14. " Level: National Data and Regional Totals...

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

    ... 325222," Noncellulosic Organic Fibers",105,7352,1,"W",41,"W",1,0,7,1 ... such combustible energy sources as" "wood waste, hydrogen, and waste oils and tars." " ...

  15. Determination of Total Petroleum Hydrocarbons (TPH) Using Total Carbon Analysis

    SciTech Connect (OSTI)

    Ekechukwu, A.A.

    2002-05-10

    Several methods have been proposed to replace the Freon(TM)-extraction method to determine total petroleum hydrocarbon (TPH) content. For reasons of cost, sensitivity, precision, or simplicity, none of the replacement methods are feasible for analysis of radioactive samples at our facility. We have developed a method to measure total petroleum hydrocarbon content in aqueous sample matrixes using total organic carbon (total carbon) determination. The total carbon content (TC1) of the sample is measured using a total organic carbon analyzer. The sample is then contacted with a small volume of non-pokar solvent to extract the total petroleum hydrocarbons. The total carbon content of the resultant aqueous phase of the extracted sample (TC2) is measured. Total petroleum hydrocarbon content is calculated (TPH = TC1-TC2). The resultant data are consistent with results obtained using Freon(TM) extraction followed by infrared absorbance.

  16. Assessment of superheated steam drying of wood waste

    SciTech Connect (OSTI)

    Woods, B.G.; Nguyen, Y.; Bruce, S.

    1994-12-31

    A 5 MW co-generation facility using wood waste is described which will supply power to Ontario Hydro, steam to the sawmill for process heating, and hot water for district heating customers in the town. The use of superheated steam for drying the wood was investigated to determine the impact on boiler performance, the environmental impact and the economic feasibility. The main benefit with superheated steam drying is the reduction in VOC emissions. The capital cost is currently higher with superheated steam drying, but further investigation is warranted to determine if the cost reductions which could be achieved by manufacturing the major components in North America are sufficient to make the technology cost competitive.

  17. Incorporation of metal nanoparticles into wood substrate and methods

    DOE Patents [OSTI]

    Rector, Kirk D; Lucas, Marcel

    2015-11-04

    Metal nanoparticles were incorporated into wood. Ionic liquids were used to expand the wood cell wall structure for nanoparticle incorporation into the cell wall structure. Nanoparticles of elemental gold or silver were found to be effective surface enhanced Raman spectroscopy (SERS) imaging contrast or sensing agents. Nanoparticles of elemental iron were found to be efficient microwave absorbers and caused localized heating for disrupting the integrity of the lignocellulosic matrix. Controls suggest that the localized heating around the iron nanoparticles reduces losses of cellulose in the form of water, volatiles and CO.sub.2. The ionic liquid is needed during the incorporation process at room temperature. The use of small amounts of ionic liquid combined with the absence of an ionic liquid purification step and a lower energy and water use are expected to reduce costs in an up-scaled pretreatment process.

  18. " Row: NAICS Codes (3-Digit Only); Column...

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

    325222," Noncellulosic Organic Fibers",6,0,"W","W",0,0,0,4,0.8 325311," ... "a raw material input; and waste materials, such as wastepaper and packing" "materials. ...

  19. " Row: NAICS Codes; Column: Energy Sources...

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

    ... old and the new basis in bridge tables that allow comparisons" "between the two systems. ... (onsite) mines or wells." "During manufacturing processes, it is possible that the ...

  20. " Row: NAICS Codes (3-Digit Only); Column...

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

    old and the new basis in bridge tables that allow comparisons" "between the two systems. ... Division, Form EIA-846, '1998 Manufacturing" "Energy Consumption Survey,' and ...

  1. " Row: NAICS Codes; Column: Energy Sources...

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

    ... Division, Form EIA-846, '1998 Manufacturing" "Energy Consumption Survey,' and ... old and the new basis in bridge tables that allow comparisons" "between the two systems. ...

  2. " Row: NAICS Codes; Column: Energy Sources...

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

    ... Products",5,0,0,"W",0,5,"W",5 3312," Steel Products from Purchased ... and raw" "material inputs for the production of nonenergy products (i.e., asphalt, ...

  3. " Row: End Uses within NAICS Codes;"

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

    ...457344,1,2,96,2,"*","--",12.7 ," Electro-Chemical Processes","--",87200,"--","--","--","--...,31301,0,"*",7,"*",0,"--",1.2 ," Electro-Chemical Processes","--",57,"--","--","--","--","...

  4. " Row: End Uses within NAICS Codes;"

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

    ...-",1560,5,13,99,7,7,"--",12.9 ," Electro-Chemical Processes","--",298,"--","--","--","--",... *",8," *",0,"--",1.2 ," Electro-Chemical Processes","--"," *","--","--","--","--"...

  5. " Row: End Uses within NAICS Codes;"

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

    ...ive",551318,1,2,96,2,"*",11.3 ," Electro-Chemical Processes",103615,"--","--","--","--","-...rive",35070,0,"*",7,"*",0,1.2 ," Electro-Chemical Processes",72,"--","--","--","--","--",1 ...

  6. " Row: End Uses within NAICS Codes;"

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

    Drive",1731,2,24,129,2,56 ," Electro-Chemical Processes",255,"--","--","--","--","--" ... Drive",121,"*",3,11,"*",0 ," Electro-Chemical Processes","*","--","--","--","--","--" ...

  7. " Row: End Uses within NAICS Codes;"

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

    Drive",507223,"*",4,126,"*",3 ," Electro-Chemical Processes",74825,"--","--","--","--","--... Drive",35339,"*","*",10,"*",0 ," Electro-Chemical Processes",113,"--","--","--","--","--" ...

  8. " Row: End Uses within NAICS Codes;"

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

    ...e",511864,"*",3,106,1,"*",4.8 ," Electro-Chemical Processes",86360,"--","--","--","--","--... Drive",36479,0,1,13,"*",0,11 ," Electro-Chemical Processes","Q","--","--","--","--","--",...

  9. " Row: End Uses within NAICS Codes;"

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

    Drive",1454,"*",28,120,3,1 ," Electro-Chemical Processes",263,"--","--","--","--","--" ... Drive",124,"*","*",4,"*","*" ," Electro-Chemical Processes",1,"--","--","--","--","--" ," ...

  10. " Row: End Uses within NAICS Codes;"

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

    ...7998,"*",3,106,1,"*","--",4.8 ," Electro-Chemical Processes","--",71045,"--","--","--","--...-",32187,0,1,13,"*",0,"--",11 ," Electro-Chemical Processes","--","Q","--","--","--","--",...

  11. " Row: End Uses within NAICS Codes;"

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

    ...,"--",1441,2,24,129,2,56,"--" ," Electro-Chemical Processes","--",206,"--","--","--","--",...,"--",110,"*",3,11,"*",0,"--" ," Electro-Chemical Processes","--","*","--","--","--","--",...

  12. " Row: End Uses within NAICS Codes;"

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

    ...",347224,"*",5,116,1,"*","--" ," Electro-Chemical Processes","--",55414,"--","--","--","--...,32764,"*","*",4,"*","*","--" ," Electro-Chemical Processes","--",158,"--","--","--","--",...

  13. " Row: End Uses within NAICS Codes;"

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

    Drive",1746,2,16,109,4,5,4.8 ," Electro-Chemical Processes",295,"--","--","--","--","--",... Drive",124,0,3,13,"*",0,11 ," Electro-Chemical Processes","*","--","--","--","--","--",...

  14. " Row: End Uses within NAICS Codes;"

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

    Drive",1881,5,13,99,7,7,11.5 ," Electro-Chemical Processes",354,"--","--","--","--","--",... *",8," *",0,1.2 ," Electro-Chemical Processes","*","--","--","--","--","--",...

  15. " Row: End Uses within NAICS Codes;"

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

    ...",422408,"*",4,126,"*",3,"--" ," Electro-Chemical Processes","--",60323,"--","--","--","--...",32259,"*","*",10,"*",0,"--" ," Electro-Chemical Processes","--",112,"--","--","--","--",...

  16. " Row: End Uses within NAICS Codes;"

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

    ...-",1426,2,16,109,4,5,"--",4.8 ," Electro-Chemical Processes","--",242,"--","--","--","--",..."--",110,0,3,13,"*",0,"--",11 ," Electro-Chemical Processes","--","*","--","--","--","--",...

  17. " Row: End Uses within NAICS Codes;"

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

    ..."--",1185,"*",28,120,3,1,"--" ," Electro-Chemical Processes","--",189,"--","--","--","--",...-",112,"*","*",4,"*","*","--" ," Electro-Chemical Processes","--",1,"--","--","--","--","-...

  18. " Row: End Uses within NAICS Codes;"

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

    Drive",426121,"*",5,116,1,"*" ," Electro-Chemical Processes",77146,"--","--","--","--","--...rive",36373,"*","*",4,"*","*" ," Electro-Chemical Processes",159,"--","--","--","--","--" ...

  19. " Row: NAICS Codes (3-Digit Only); Column...

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

    ... " NFNo applicable RSE rowcolumn factor." " * Estimate less than 0.5." " ... of a purchase or transfer and consumed onsite for the" "production of heat and power. ...

  20. " Row: NAICS Codes; Column: Energy Sources...

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

    ... " NFNo applicable RSE rowcolumn factor." " * Estimate less than 0.5." " ... of a purchase or transfer and consumed onsite for the" "production of heat and power. ...

  1. " Row: Employment Sizes within NAICS Codes...

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

    " 311 - 339","ALL MANUFACTURING INDUSTRIES" ,"Employment Size" ," Under 50",562.6,4.7,2.4 ," 50-99",673.1,5.1,2.4 ," 100-249",1072.799927,6.459656809,2.981380066 ," ...

  2. " Row: Employment Sizes within NAICS Codes...

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

    " 311 - 339","ALL MANUFACTURING INDUSTRIES" ,"Employment Size" ," Under 50",395.7,4.3,2.3,3.6 ," 50-99",663.4,6.8,3.3,5 ," 100-249",905.8,7.9,3.8,3.6 ," 250-499",1407.1,11.1,5....

  3. " Row: Employment Sizes within NAICS Codes...

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

    " 311 - 339","ALL MANUFACTURING INDUSTRIES" ,"Employment Size" ," Under 50",507.3,6.7,3.4,2.6 ," 50-99",561.6,6.7,3.2,3 ," 100-249",913.6,9.2,4.4,2 ," ...

  4. " Row: Employment Sizes within NAICS Codes...

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

    " 311 - 339","ALL MANUFACTURING INDUSTRIES" ,"Employment Size" ," Under 50",625.5,3.3,1.7 ," 50-99",882.3,5.8,2.5 ," 100-249",1114.9,5.8,2.5 ," 250-499",2250.4,8,3.7 ," ...

  5. " Row: NAICS Codes; Column: Energy Sources...

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

    ...",0.7,0.7,1.1,1.5,0.9,1.5,0.8,1,1.2 , 311,"Food",1044,213,14,16,568,5,129,2,97,1.2 ...0.9,0.9,1.2,1.8,1.1,2.1,0.4,0.4,1.3 , 311,"Food",78,20,3,"W",47,"*","W",0,4,4.9 311221," ...

  6. " Row: NAICS Codes; Column: Energy-Consumption...

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

    ,"RSE Column Factors:",1.1,1,0.9 , 311,"Food",767.8,5.9,2.4,1 311221," Wet Corn ... ,"RSE Column Factors:",1,1,0.9 , 311,"Food",481.4,3.1,1.4,3.6 311221," Wet Corn ...

  7. " Row: NAICS Codes (3-Digit Only); Column...

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

    ... and raw" "material inputs for the production of nonenergy products (i.e., asphalt, waxes," "lubricants, and solvents) and feedstock consumption at adjoining petrochemical" ...

  8. " Row: NAICS Codes (3-Digit Only); Column...

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

    ... produced" "onsite from input materials not classified as energy. Examples of the latter" "are hydrogen produced from the electrolysis of brine; the output of captive" "(onsite) ...

  9. " Row: NAICS Codes; Column: Energy Sources...

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

    ... produced" "onsite from input materials not classified as energy. Examples of the latter" "are hydrogen produced from the electrolysis of brine; the output of captive" "(onsite) ...

  10. " Row: NAICS Codes; Column: Energy Sources...

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

    ... produced onsite from input materials not classified as energy." "Examples of the latter are hydrogen produced from the electrolysis of brine; " " the output of captive (onsite) ...

  11. " Row: NAICS Codes; Column: Energy-Consumption...

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

    ...mediates",12763.7,8.8,5.1 325193," Ethyl Alcohol ",28213.9,23.7,13.6 325199," Other Basic ...ermediates",11015.9,5,4.5 325193," Ethyl Alcohol ",169.7,0.2,0.1 325199," Other Basic ...

  12. " Row: NAICS Codes, Value of Shipments...

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

    ...","*","*",0,"*",0,0,0,0,0 325193," Ethyl Alcohol ","*","*","*","*","*","*","*","*",0,"*" ...","*",0,"*",0,0,0,0,0,0,0 325193," Ethyl Alcohol ","*",0,"*",0,0,0,0,0,0,0 325199," Other ...

  13. " Row: NAICS Codes; Column: Energy Sources...

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

    ...73,"*","*",22,"W",0,0,"W" 325193," Ethyl Alcohol ",317,7359,0,"*",251,"*",1,0,7 325199," ...","*","*","W","*",0,0,"*" 325193," Ethyl Alcohol ","W",72,0,"*","W","*",0,0,0 325199," ...

  14. " Row: NAICS Codes; Column: Energy-Consumption...

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

    ...ates",11541.3,36.8,12.6,1 325193," Ethyl Alcohol ",26688.9,65.4,24.4,8.4 325199," Other ...ediates",4378.2,8.9,4.1,1 325193," Ethyl Alcohol ",2378.4,7.3,1.6,1 325199," Other Basic ...

  15. " Row: NAICS Codes; Column: Energy Sources...

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

    ...673,"*","*",22,"*",0,0,17 325193," Ethyl Alcohol ",307,7359,0,"*",245,"*",1,0,4 325199," ...160,"*","*",5,"*",0,0,"*" 325193," Ethyl Alcohol ",2,72,0,"*",2,"*",0,0,0 325199," Other ...

  16. " Row: NAICS Codes; Column: Energy Sources...

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

    ...566,,0,"*",15,,"*",0,0,12 325193," Ethyl Alcohol ",111,,2717,,0,"*",80,,"*",1,0,1 325199," ...,,178,,0,"*",4,,"*",0,0,1 325193," Ethyl Alcohol ","*",,1,,0,0,"*",,"*",0,0,0 325199," ...

  17. " Row: NAICS Codes; Column: Energy Sources...

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

    ..."*","*",37,"*",0,0,18,0.9 325193," Ethyl Alcohol ",60,4,0,"*",30,"*",19,0,7,5.6 325199," ..."W","*",4,"*",0,0,"W",0.9 325193," Ethyl Alcohol ","*","*",0,0,"*",0,0,0,"*",1 325199," ...

  18. " Row: NAICS Codes; Column: Energy Sources...

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

    ...2566,0,"*",15,"*","*",0,8 325193," Ethyl Alcohol ",114,2715,0,"*",80,"*",1,0,2 325199," ...5,178,0,"*",4,"*",0,0,"*" 325193," Ethyl Alcohol ","*",1,0,0,"*","*",0,0,0 325199," Other ...

  19. " Row: NAICS Codes; Column: Energy Sources...

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

    ..."*","*",36,"*",0,0,18,0.9 325193," Ethyl Alcohol ",60,1309,0,"*",29,"*",1,0,7,5.6 325199," ..."W","*",4,"*",0,0,"W",0.9 325193," Ethyl Alcohol ","*","*",0,0,"*",0,0,0,"*",1 325199," ...

  20. " Row: NAICS Codes, Value of Shipments...

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

    ...2673,0,2673,0,0,0,0,0,0,0 325193," Ethyl Alcohol ",7359,17,7247,16,1,0,0,0,0,0 325199," ...",160,0,160,0,0,0,0,0,0,0 325193," Ethyl Alcohol ",72,0,72,0,0,0,0,0,0,0 325199," Other ...

  1. " Row: NAICS Codes; Column: Energy-Consumption...

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

    ...ediates",17409.4,15.6,8.5 325193," Ethyl Alcohol ",40003.6,57.9,15.6 325199," Other Basic ...mediates",14844.6,8.4,7.4 325193," Ethyl Alcohol ",17143.8,42.9,10.2 325199," Other Basic ...

  2. " Row: NAICS Codes; Column: Energy Sources...

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

    ..."*","*",42,5,"*",0,25,0.9 325193," Ethyl Alcohol ",61,1309,0,"*",29,"*",1,0,7,5.6 325199," ...","*","W","*",0,0,"*",0.8 325193," Ethyl Alcohol ","*","*",0,0,"*",0,0,0,"*",0.9 325199," ...

  3. " Row: NAICS Codes, Value of Shipments...

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

    ...22,"*",21,0,"*",0,0,0,0,0 325193," Ethyl Alcohol ",245,7,232,0,1,0,1,4,0,4 325199," Other ...ates",5,0,5,0,0,0,0,0,0,0 325193," Ethyl Alcohol ",2,0,2,0,0,0,0,0,0,0 325199," Other ...

  4. " Row: NAICS Codes; Column: Energy Sources...

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

    ...673,"*","*",22,"*",0,0,18 325193," Ethyl Alcohol ",307,7392,0,"*",245,"*",1,0,4 325199," ...160,"*","*",5,"*",0,0,"*" 325193," Ethyl Alcohol ",2,69,0,"*",2,"*",0,0,0 325199," Other ...

  5. " Row: NAICS Codes; Column: Energy Sources...

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

    ..."*","*",36,"*",0,0,23,0.9 325193," Ethyl Alcohol ",60,"W",0,"*",29,"*",1,0,"W",5.7 ...","*","W","*",0,0,"W",0.9 325193," Ethyl Alcohol ","*","W",0,0,"*",0,0,0,"W",1 325199," ...

  6. " Row: NAICS Codes; Column: Energy Sources...

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

    ..."*","*",37,"*",0,0,23,0.9 325193," Ethyl Alcohol ",60,"W",0,"*",30,"*",19,0,"W",5.7 ...","*","W","*",0,0,"W",0.9 325193," Ethyl Alcohol ","*","W",0,0,"*",0,0,0,"W",1.1 325199," ...

  7. " Row: NAICS Codes; Column: Energy Sources...

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

    ...,9,,0,"*",16,,"*",,0,0,12 325193," Ethyl Alcohol ",111,,9,,0,"*",82,,"*",,19,0,1 325199," ...6,,1,,0,"*",4,,"*",,0,0,1 325193," Ethyl Alcohol ","*",,"*",,0,0,"*",,"*",,0,0,0 325199," ...

  8. " Row: NAICS Codes; Column: Energy Sources...

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

    ...6,,"*","*",15,,"*",0,0,12 325193," Ethyl Alcohol ",110,,2717,,0,"*",80,,"*",1,0,"*" ...,,178,,0,"*",4,,"*",0,0,1 325193," Ethyl Alcohol ","*",,1,,0,0,"*",,"*",0,0,0 325199," ...

  9. " Row: NAICS Codes; Column: Energy Sources...

    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," ...",7,1,1,"*",5,"*",0,0,"*" 325193," Ethyl Alcohol ",2,"*",0,"*",2,"*",0,0,0 325199," Other ...

  10. " Row: NAICS Codes; Column: Energy Sources...

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

    ...9,9,"*","*",22,"*",0,0,17 325193," Ethyl Alcohol ",307,25,0,"*",252,"*",25,0,4 325199," ...6,1,"*","*",5,"*",0,0,"*" 325193," Ethyl Alcohol ",2,"*",0,"*",2,"*",0,0,0 325199," Other ...

  11. " Row: NAICS Codes; Column: Energy Sources...

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

    ...,9,,1,"*",16,,"*",,0,0,12 325193," Ethyl Alcohol ",110,,9,,0,"*",82,,"*",,19,0,"*" ...6,,1,,0,"*",4,,"*",,0,0,1 325193," Ethyl Alcohol ","*",,"*",,0,0,"*",,"*",,0,0,0 325199," ...

  12. " Row: NAICS Codes, Value of Shipments...

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

    ..."*","*",0,"*","*",0,0,0,0 325193," Ethyl Alcohol ",0,0,0,0,0,0,0,0,0,0 325199," Other ..."*","*",0,0,"*",0,0,0,0,0 325193," Ethyl Alcohol ",0,0,0,0,0,0,0,0,0,0 325199," Other ...

  13. ART ICHMI DOE Review Oct2015 Wood-1.pptx

    Energy Savers [EERE]

    Technologies- Instrumentation, Control, and Human- Machine Interface (ICHMI) Technology Area Overview Richard Wood Oak Ridge National Laboratory Presented during 2015 Nuclear Energy I&C Review U.S. Department of Energy - Webinar October 28, 2015 2 ICHMI Technology Area Focus is on Achieving Goals and Resolving Challenges for Advanced Reactors * DOE-NE R&D Objective #2 [Develop improvements in the affordability of new reactors...] establishes the primary goal for ART ICHMI research -

  14. Mechanics of compression drying solid wood cubes and chip mats

    SciTech Connect (OSTI)

    Haygreen, J.G.

    1982-10-01

    Wood cubes and chip mats were compressed in a cell under ram face pressures to 13,000 psi. The amount of water removed was determined for a range of species of various specific gravities and at several green moisture contents (MCs). The time dependence of the process was also studied. The purpose of this work was to describe the mechanics of compression drying which must be considered in designing commercial equipment. Green MC of wood chip mats was reduced to 45 to 50 percent MC (31% to 33% MC, wet basis) at pressures of 13,000 psi. At low pressures of 1,000 to 2,000 psi, moisture was reduced to 60 to 75 percent MC (38% to 43% MC, wet basis). There was a significantly greater moisture reduction at these low pressures if the pressure is maintained for up to 2 minutes rather than releasing it immediately once the target pressure is obtained. Water can be removed from high density species but pressures required are higher by a factor of 2 to 3. The chip mat is reduced to about one-sixth of its original volume at 2,000 psi and one-seventh at 6,000 psi. When pressing cubes of high green MC, about 7,000 foot-pounds of work (equivalent to 9 Btu) applied to the wood will remove up to 1 pound of water. (Refs. 9).

  15. Total Eolica | Open Energy Information

    Open Energy Info (EERE)

    Eolica Jump to: navigation, search Name: Total Eolica Place: Spain Product: Project developer References: Total Eolica1 This article is a stub. You can help OpenEI by expanding...

  16. Total

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

    Fuel Kerosene Distillate Fuel Oil Distillate Fuel Oil, 15 ppm Sulfur and Under Distillate Fuel Oil, Greater than 15 ppm to 500 ppm Sulfur Distillate Fuel Oil, Greater than 500 ppm ...

  17. Total..........................................................

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

    5 or More Units Mobile Homes Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing Units ...

  18. Total..............................................

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

    111.1 86.6 2,720 1,970 1,310 1,941 1,475 821 1,059 944 554 Census Region and Division Northeast.................................... 20.6 13.9 3,224 2,173 836 2,219 1,619 583 903 830 Q New England.......................... 5.5 3.6 3,365 2,154 313 2,634 1,826 Q 951 940 Q Middle Atlantic........................ 15.1 10.3 3,167 2,181 1,049 2,188 1,603 582 Q Q Q Midwest...................................... 25.6 21.0 2,823 2,239 1,624 2,356 1,669 1,336 1,081 961 778 East North

  19. Total........................................................

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

    111.1 24.5 1,090 902 341 872 780 441 Census Region and Division Northeast............................................. 20.6 6.7 1,247 1,032 Q 811 788 147 New England.................................... 5.5 1.9 1,365 1,127 Q 814 748 107 Middle Atlantic.................................. 15.1 4.8 1,182 978 Q 810 800 159 Midwest................................................ 25.6 4.6 1,349 1,133 506 895 810 346 East North Central............................ 17.7 3.2 1,483 1,239 560 968 842 351

  20. Total...........................................................

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

    Q Table HC3.2 Living Space Characteristics by Owner-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Million U.S. Housing Units Owner- Occupied Housing Units (millions) Type of Owner-Occupied Housing Unit Housing Units (millions) Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC3.2 Living Space

  1. Total............................................................

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

  2. Total.............................................................

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

    26.7 28.8 20.6 13.1 22.0 16.6 38.6 Personal Computers Do Not Use a Personal Computer........... 35.5 17.1 10.8 4.2 1.8 1.6 10.3 20.6 Use a Personal Computer....................... 75.6 9.6 18.0 16.4 11.3 20.3 6.4 17.9 Most-Used Personal Computer Type of PC Desk-top Model.................................. 58.6 7.6 14.2 13.1 9.2 14.6 5.0 14.5 Laptop Model...................................... 16.9 2.0 3.8 3.3 2.1 5.7 1.3 3.5 Hours Turned on Per Week Less than 2 Hours..............................

  3. Total..............................................................

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

    ,171 1,618 1,031 845 630 401 Census Region and Division Northeast................................................... 20.6 2,334 1,664 562 911 649 220 New England.......................................... 5.5 2,472 1,680 265 1,057 719 113 Middle Atlantic........................................ 15.1 2,284 1,658 670 864 627 254 Midwest...................................................... 25.6 2,421 1,927 1,360 981 781 551 East North Central.................................. 17.7 2,483 1,926 1,269

  4. Total..............................................................

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

    Do Not Have Cooling Equipment................ 17.8 5.3 4.7 2.8 1.9 3.1 3.6 7.5 Have Cooling Equipment............................. 93.3 21.5 24.1 17.8 11.2 18.8 13.0 31.1 Use Cooling Equipment.............................. 91.4 21.0 23.5 17.4 11.0 18.6 12.6 30.3 Have Equipment But Do Not Use it............. 1.9 0.5 0.6 0.4 Q Q 0.5 0.8 Type of Air-Conditioning Equipment 1, 2 Central System.......................................... 65.9 11.0 16.5 13.5 8.7 16.1 6.4 17.2 Without a Heat

  5. Total...............................................................

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

    20.6 25.6 40.7 24.2 Personal Computers Do Not Use a Personal Computer ........... 35.5 6.9 8.1 14.2 6.4 Use a Personal Computer......................... 75.6 13.7 17.5 26.6 17.8 Number of Desktop PCs 1.......................................................... 50.3 9.3 11.9 18.2 11.0 2.......................................................... 16.2 2.9 3.5 5.5 4.4 3 or More............................................. 9.0 1.5 2.1 2.9 2.5 Number of Laptop PCs

  6. Total...............................................................

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

    0.7 21.7 6.9 12.1 Personal Computers Do Not Use a Personal Computer ........... 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer......................... 75.6 26.6 14.5 4.1 7.9 Number of Desktop PCs 1.......................................................... 50.3 18.2 10.0 2.9 5.3 2.......................................................... 16.2 5.5 3.0 0.7 1.8 3 or More............................................. 9.0 2.9 1.5 0.5 0.8 Number of Laptop PCs

  7. Total...............................................................

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

    26.7 28.8 20.6 13.1 22.0 16.6 38.6 Personal Computers Do Not Use a Personal Computer ........... 35.5 17.1 10.8 4.2 1.8 1.6 10.3 20.6 Use a Personal Computer......................... 75.6 9.6 18.0 16.4 11.3 20.3 6.4 17.9 Number of Desktop PCs 1.......................................................... 50.3 8.3 14.2 11.4 7.2 9.2 5.3 14.2 2.......................................................... 16.2 0.9 2.6 3.7 2.9 6.2 0.8 2.6 3 or More............................................. 9.0 0.4 1.2

  8. Total...............................................................

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

    Do Not Have Cooling Equipment................. 17.8 5.3 4.7 2.8 1.9 3.1 3.6 7.5 Have Cooling Equipment.............................. 93.3 21.5 24.1 17.8 11.2 18.8 13.0 31.1 Use Cooling Equipment............................... 91.4 21.0 23.5 17.4 11.0 18.6 12.6 30.3 Have Equipment But Do Not Use it............. 1.9 0.5 0.6 0.4 Q Q 0.5 0.8 Air-Conditioning Equipment 1, 2 Central System............................................ 65.9 11.0 16.5 13.5 8.7 16.1 6.4 17.2 Without a Heat

  9. Total...............................................................

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

    47.1 19.0 22.7 22.3 Personal Computers Do Not Use a Personal Computer ........... 35.5 16.9 6.5 4.6 7.6 Use a Personal Computer......................... 75.6 30.3 12.5 18.1 14.7 Number of Desktop PCs 1.......................................................... 50.3 21.1 8.3 10.7 10.1 2.......................................................... 16.2 6.2 2.8 4.1 3.0 3 or More............................................. 9.0 2.9 1.4 3.2 1.6 Number of Laptop PCs

  10. Total................................................................

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

    111.1 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Do Not Have Space Heating Equipment....... 1.2 0.5 0.3 0.2 Q 0.2 0.3 0.6 Have Main Space Heating Equipment.......... 109.8 26.2 28.5 20.4 13.0 21.8 16.3 37.9 Use Main Space Heating Equipment............ 109.1 25.9 28.1 20.3 12.9 21.8 16.0 37.3 Have Equipment But Do Not Use It.............. 0.8 0.3 0.3 Q Q N 0.4 0.6 Main Heating Fuel and Equipment Natural Gas.................................................. 58.2 12.2 14.4 11.3 7.1 13.2 7.6 18.3 Central

  11. Total.................................................................

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

    49.2 15.1 15.6 11.1 7.0 5.2 8.0 Have Cooling Equipment............................... 93.3 31.3 15.1 15.6 11.1 7.0 5.2 8.0 Use Cooling Equipment................................ 91.4 30.4 14.6 15.4 11.1 6.9 5.2 7.9 Have Equipment But Do Not Use it............... 1.9 1.0 0.5 Q Q Q Q Q Do Not Have Cooling Equipment................... 17.8 17.8 N N N N N N Air-Conditioning Equipment 1, 2 Central System............................................. 65.9 3.9 15.1 15.6 11.1 7.0 5.2 8.0 Without a Heat

  12. Total.................................................................

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

    14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Do Not Have Space Heating Equipment........ 1.2 N Q Q 0.2 0.4 0.2 0.2 Q Have Main Space Heating Equipment........... 109.8 14.7 7.4 12.4 12.2 18.5 18.3 17.1 9.2 Use Main Space Heating Equipment............. 109.1 14.6 7.3 12.4 12.2 18.2 18.2 17.1 9.1 Have Equipment But Do Not Use It............... 0.8 Q Q Q Q 0.3 Q N Q Main Heating Fuel and Equipment Natural Gas................................................... 58.2 9.2 4.9 7.8 7.1 8.8 8.4 7.8 4.2 Central

  13. Total.................................................................

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

    26.7 28.8 20.6 13.1 22.0 16.6 38.6 Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day.............................. 8.2 2.9 2.5 1.3 0.5 1.0 2.4 4.6 2 Times A Day........................................... 24.6 6.5 7.0 4.3 3.2 3.6 4.8 10.3 Once a Day................................................ 42.3 8.8 9.8 8.7 5.1 10.0 5.0 12.9 A Few Times Each Week........................... 27.2 5.6 7.2 4.7 3.3 6.3 3.2 7.5 About Once a Week................................... 3.9 1.1 1.1

  14. Total..................................................................

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

    78.1 64.1 4.2 1.8 2.3 5.7 Do Not Have Cooling Equipment..................... 17.8 11.3 9.3 0.6 Q 0.4 0.9 Have Cooling Equipment................................. 93.3 66.8 54.7 3.6 1.7 1.9 4.8 Use Cooling Equipment.................................. 91.4 65.8 54.0 3.6 1.7 1.9 4.7 Have Equipment But Do Not Use it................. 1.9 1.1 0.8 Q N Q Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 51.7 43.9 2.5 0.7 1.6 3.1 Without a Heat

  15. Total..................................................................

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

    . 111.1 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Do Not Have Cooling Equipment..................... 17.8 3.9 1.8 2.2 2.1 3.1 2.6 1.7 0.4 Have Cooling Equipment................................. 93.3 10.8 5.6 10.3 10.4 15.8 16.0 15.6 8.8 Use Cooling Equipment.................................. 91.4 10.6 5.5 10.3 10.3 15.3 15.7 15.3 8.6 Have Equipment But Do Not Use it................. 1.9 Q Q Q Q 0.6 0.4 0.3 Q Type of Air-Conditioning Equipment 1, 2 Central

  16. Total...................................................................

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

    15.2 7.8 1.0 1.2 3.3 1.9 For Two Housing Units............................. 0.9 Q N Q 0.6 N Heat Pump.................................................. 9.2 7.4 0.3 Q 0.7 0.5 Portable Electric Heater............................... 1.6 0.8 Q Q Q 0.3 Other Equipment......................................... 1.9 0.7 Q Q 0.7 Q Fuel Oil........................................................... 7.7 5.5 0.4 0.8 0.9 0.2 Steam or Hot Water System........................ 4.7 2.9 Q 0.7 0.8 N For One Housing

  17. Total....................................................................

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

    14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Household Size 1 Person.......................................................... 30.0 4.6 2.5 3.7 3.2 5.4 5.5 3.7 1.6 2 Persons......................................................... 34.8 4.3 1.9 4.4 4.1 5.9 5.3 5.5 3.4 3 Persons......................................................... 18.4 2.5 1.3 1.7 1.9 2.9 3.5 2.8 1.6 4 Persons......................................................... 15.9 1.9 0.8 1.5 1.6 3.0 2.5 3.1 1.4 5

  18. Total.......................................................................

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

    0.6 15.1 5.5 Personal Computers Do Not Use a Personal Computer ................... 35.5 6.9 5.3 1.6 Use a Personal Computer................................ 75.6 13.7 9.8 3.9 Number of Desktop PCs 1.................................................................. 50.3 9.3 6.8 2.5 2.................................................................. 16.2 2.9 1.9 1.0 3 or More..................................................... 9.0 1.5 1.1 0.4 Number of Laptop PCs

  19. Total.......................................................................

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

    5.6 17.7 7.9 Personal Computers Do Not Use a Personal Computer ................... 35.5 8.1 5.6 2.5 Use a Personal Computer................................ 75.6 17.5 12.1 5.4 Number of Desktop PCs 1.................................................................. 50.3 11.9 8.4 3.4 2.................................................................. 16.2 3.5 2.2 1.3 3 or More..................................................... 9.0 2.1 1.5 0.6 Number of Laptop PCs

  20. Total.......................................................................

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

    4.2 7.6 16.6 Personal Computers Do Not Use a Personal Computer ................... 35.5 6.4 2.2 4.2 Use a Personal Computer................................ 75.6 17.8 5.3 12.5 Number of Desktop PCs 1.................................................................. 50.3 11.0 3.4 7.6 2.................................................................. 16.2 4.4 1.3 3.1 3 or More..................................................... 9.0 2.5 0.7 1.8 Number of Laptop PCs

  1. Total........................................................................

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

    25.6 40.7 24.2 Do Not Have Space Heating Equipment............... 1.2 Q Q Q 0.7 Have Main Space Heating Equipment.................. 109.8 20.5 25.6 40.3 23.4 Use Main Space Heating Equipment.................... 109.1 20.5 25.6 40.1 22.9 Have Equipment But Do Not Use It...................... 0.8 N N Q 0.6 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 11.4 18.4 13.6 14.7 Central Warm-Air Furnace................................ 44.7 6.1

  2. Total........................................................................

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

    15.1 5.5 Do Not Have Space Heating Equipment............... 1.2 Q Q Q Have Main Space Heating Equipment.................. 109.8 20.5 15.1 5.4 Use Main Space Heating Equipment.................... 109.1 20.5 15.1 5.4 Have Equipment But Do Not Use It...................... 0.8 N N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 11.4 9.1 2.3 Central Warm-Air Furnace................................ 44.7 6.1 5.3 0.8 For One Housing

  3. Total........................................................................

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

    5.6 17.7 7.9 Do Not Have Space Heating Equipment............... 1.2 Q Q N Have Main Space Heating Equipment.................. 109.8 25.6 17.7 7.9 Use Main Space Heating Equipment.................... 109.1 25.6 17.7 7.9 Have Equipment But Do Not Use It...................... 0.8 N N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 18.4 13.1 5.3 Central Warm-Air Furnace................................ 44.7 16.2 11.6 4.7 For One Housing

  4. Total........................................................................

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

    0.7 21.7 6.9 12.1 Do Not Have Space Heating Equipment............... 1.2 Q Q N Q Have Main Space Heating Equipment.................. 109.8 40.3 21.4 6.9 12.0 Use Main Space Heating Equipment.................... 109.1 40.1 21.2 6.9 12.0 Have Equipment But Do Not Use It...................... 0.8 Q Q N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 13.6 5.6 2.3 5.7 Central Warm-Air Furnace................................ 44.7 11.0 4.4

  5. Total........................................................................

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

    4.2 7.6 16.6 Do Not Have Space Heating Equipment............... 1.2 0.7 Q 0.7 Have Main Space Heating Equipment.................. 109.8 23.4 7.5 16.0 Use Main Space Heating Equipment.................... 109.1 22.9 7.4 15.4 Have Equipment But Do Not Use It...................... 0.8 0.6 Q 0.5 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 14.7 4.6 10.1 Central Warm-Air Furnace................................ 44.7 11.4 4.0 7.4 For One

  6. Total........................................................................

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

    7.1 7.0 8.0 12.1 Do Not Have Space Heating Equipment............... 1.2 Q Q Q 0.2 Have Main Space Heating Equipment.................. 109.8 7.1 6.8 7.9 11.9 Use Main Space Heating Equipment.................... 109.1 7.1 6.6 7.9 11.4 Have Equipment But Do Not Use It...................... 0.8 N Q N 0.5 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 3.8 0.4 3.8 8.4 Central Warm-Air Furnace................................ 44.7 1.8 Q 3.1 6.0

  7. Total........................................................................

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

    7.1 19.0 22.7 22.3 Do Not Have Space Heating Equipment............... 1.2 0.7 Q 0.2 Q Have Main Space Heating Equipment.................. 109.8 46.3 18.9 22.5 22.1 Use Main Space Heating Equipment.................... 109.1 45.6 18.8 22.5 22.1 Have Equipment But Do Not Use It...................... 0.8 0.7 Q N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 27.0 11.9 14.9 4.3 Central Warm-Air Furnace................................ 44.7

  8. Total...........................................................................

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

    0.6 15.1 5.5 Do Not Have Cooling Equipment............................. 17.8 4.0 2.4 1.7 Have Cooling Equipment.......................................... 93.3 16.5 12.8 3.8 Use Cooling Equipment........................................... 91.4 16.3 12.6 3.7 Have Equipment But Do Not Use it.......................... 1.9 0.3 Q Q Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 6.0 5.2 0.8 Without a Heat

  9. Total...........................................................................

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

    4.2 7.6 16.6 Do Not Have Cooling Equipment............................. 17.8 10.3 3.1 7.3 Have Cooling Equipment.......................................... 93.3 13.9 4.5 9.4 Use Cooling Equipment........................................... 91.4 12.9 4.3 8.5 Have Equipment But Do Not Use it.......................... 1.9 1.0 Q 0.8 Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 10.5 3.9 6.5 Without a Heat

  10. Total.............................................................................

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

    Do Not Have Cooling Equipment............................... 17.8 4.0 2.1 1.4 10.3 Have Cooling Equipment............................................ 93.3 16.5 23.5 39.3 13.9 Use Cooling Equipment............................................. 91.4 16.3 23.4 38.9 12.9 Have Equipment But Do Not Use it............................ 1.9 0.3 Q 0.5 1.0 Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 6.0 17.3 32.1 10.5 Without a Heat

  11. Total.............................................................................

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

    Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 1.2 1.0 0.2 2 Times A Day...................................................... 24.6 4.0 2.7 1.2 Once a Day........................................................... 42.3 7.9 5.4 2.5 A Few Times Each Week...................................... 27.2 6.0 4.8 1.2 About Once a Week.............................................. 3.9 0.6 0.5 Q Less Than Once a

  12. Total.............................................................................

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

    Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 1.4 1.0 0.4 2 Times A Day...................................................... 24.6 5.8 3.5 2.3 Once a Day........................................................... 42.3 10.7 7.8 2.9 A Few Times Each Week...................................... 27.2 5.6 4.0 1.6 About Once a Week.............................................. 3.9 0.9 0.6 0.3 Less Than Once a

  13. Total.............................................................................

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

    Do Not Have Cooling Equipment............................... 17.8 1.4 0.8 0.2 0.3 Have Cooling Equipment............................................ 93.3 39.3 20.9 6.7 11.8 Use Cooling Equipment............................................. 91.4 38.9 20.7 6.6 11.7 Have Equipment But Do Not Use it............................ 1.9 0.5 Q Q Q Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 32.1 17.6 5.2 9.3 Without a Heat

  14. Total.............................................................................

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

    Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 2.6 0.7 1.9 2 Times A Day...................................................... 24.6 6.6 2.0 4.6 Once a Day........................................................... 42.3 8.8 2.9 5.8 A Few Times Each Week...................................... 27.2 4.7 1.5 3.1 About Once a Week.............................................. 3.9 0.7 Q 0.6 Less Than Once a

  15. Total.............................................................................

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

    Do Not Have Cooling Equipment............................... 17.8 10.3 3.1 7.3 Have Cooling Equipment............................................ 93.3 13.9 4.5 9.4 Use Cooling Equipment............................................. 91.4 12.9 4.3 8.5 Have Equipment But Do Not Use it............................ 1.9 1.0 Q 0.8 Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 10.5 3.9 6.5 Without a Heat

  16. Total.............................................................................

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

    Do Not Have Cooling Equipment............................... 17.8 8.5 2.7 2.6 4.0 Have Cooling Equipment............................................ 93.3 38.6 16.2 20.1 18.4 Use Cooling Equipment............................................. 91.4 37.8 15.9 19.8 18.0 Have Equipment But Do Not Use it............................ 1.9 0.9 0.3 0.3 0.4 Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 25.8 10.9 16.6 12.5 Without a Heat

  17. Total..............................................................................

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

    111.1 7.1 7.0 8.0 12.1 Personal Computers Do Not Use a Personal Computer .......................... 35.5 3.0 2.0 2.7 3.1 Use a Personal Computer....................................... 75.6 4.2 5.0 5.3 9.0 Number of Desktop PCs 1......................................................................... 50.3 3.1 3.4 3.4 5.4 2......................................................................... 16.2 0.7 1.1 1.2 2.2 3 or More............................................................ 9.0 0.3

  18. Total.................................................................................

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

    7.1 7.0 8.0 12.1 Do Not Have Cooling Equipment................................... 17.8 1.8 Q Q 4.9 Have Cooling Equipment................................................ 93.3 5.3 7.0 7.8 7.2 Use Cooling Equipment................................................. 91.4 5.3 7.0 7.7 6.6 Have Equipment But Do Not Use it............................... 1.9 Q N Q 0.6 Air-Conditioning Equipment 1, 2 Central System.............................................................. 65.9 1.1 6.4 6.4 5.4 Without a

  19. Total....................................................................................

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

    25.6 40.7 24.2 Personal Computers Do Not Use a Personal Computer.................................. 35.5 6.9 8.1 14.2 6.4 Use a Personal Computer.............................................. 75.6 13.7 17.5 26.6 17.8 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 10.4 14.1 20.5 13.7 Laptop Model............................................................. 16.9 3.3 3.4 6.1 4.1 Hours Turned on Per Week Less than 2

  20. Total....................................................................................

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

    5.6 17.7 7.9 Personal Computers Do Not Use a Personal Computer.................................. 35.5 8.1 5.6 2.5 Use a Personal Computer.............................................. 75.6 17.5 12.1 5.4 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 14.1 10.0 4.0 Laptop Model............................................................. 16.9 3.4 2.1 1.3 Hours Turned on Per Week Less than 2

  1. Total....................................................................................

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

    Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day................................................. 8.2 3.0 1.6 0.3 1.1 2 Times A Day.............................................................. 24.6 8.3 4.2 1.3 2.7 Once a Day................................................................... 42.3 15.0 8.1 2.7 4.2 A Few Times Each Week............................................. 27.2 10.9 6.0 1.8 3.1 About Once a Week..................................................... 3.9

  2. Total....................................................................................

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

    Personal Computers Do Not Use a Personal Computer.................................. 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer.............................................. 75.6 26.6 14.5 4.1 7.9 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 20.5 11.0 3.4 6.1 Laptop Model............................................................. 16.9 6.1 3.5 0.7 1.9 Hours Turned on Per Week Less than 2

  3. Total....................................................................................

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

    4.2 7.6 16.6 Personal Computers Do Not Use a Personal Computer.................................. 35.5 6.4 2.2 4.2 Use a Personal Computer.............................................. 75.6 17.8 5.3 12.5 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 13.7 4.2 9.5 Laptop Model............................................................. 16.9 4.1 1.1 3.0 Hours Turned on Per Week Less than 2

  4. Total....................................................................................

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

    Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day................................................. 8.2 3.7 1.6 1.4 1.5 2 Times A Day.............................................................. 24.6 10.8 4.1 4.3 5.5 Once a Day................................................................... 42.3 17.0 7.2 8.7 9.3 A Few Times Each Week............................................. 27.2 11.4 4.7 6.4 4.8 About Once a Week.....................................................

  5. Total....................................................................................

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

    111.1 47.1 19.0 22.7 22.3 Personal Computers Do Not Use a Personal Computer.................................. 35.5 16.9 6.5 4.6 7.6 Use a Personal Computer.............................................. 75.6 30.3 12.5 18.1 14.7 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 22.9 9.8 14.1 11.9 Laptop Model............................................................. 16.9 7.4 2.7 4.0 2.9 Hours Turned on Per Week Less than 2

  6. Total.........................................................................................

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

    ..... 111.1 7.1 7.0 8.0 12.1 Personal Computers Do Not Use a Personal Computer...................................... 35.5 3.0 2.0 2.7 3.1 Use a Personal Computer.................................................. 75.6 4.2 5.0 5.3 9.0 Most-Used Personal Computer Type of PC Desk-top Model............................................................. 58.6 3.2 3.9 4.0 6.7 Laptop Model................................................................. 16.9 1.0 1.1 1.3 2.4 Hours Turned on Per Week Less

  7. Total

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

    Administration, Form EIA-63B, 'Annual Photovoltaic CellModule Shipments Report.'rounding. ... Form EIA-63B, 'Annual Photovoltaic CellModule Shipments Report.' CellModule ...

  8. Total..........................................................

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

    ... 41.8 2,603 2,199 1,654 941 795 598 1-Car Garage...... 9.5 2,064 1,664 1,039 775 624 390 2-Car Garage......

  9. Total..........................................................

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

    ... Type of Glass in Windows Single-pane Glass...... 27.4 ... Q Q N Q N N Proportion of Windows Replaced All......

  10. Total..........................................................

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

    ... Type of Glass in Windows Single-pane Glass......Q Q Q Q Proportion of Windows Replaced All......

  11. Total..........................................................

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

    Air-Conditioning Equipment 1, 2 Central System...... 65.9 25.8 10.9 16.6 12.5 Without a Heat Pump......

  12. Total..........................................................

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

    Air-Conditioning Equipment 1, 2 Central System...... 65.9 6.0 17.3 32.1 10.5 Without a Heat Pump......

  13. Total..........................................................

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

    Air-Conditioning Equipment 1, 2 Central System...... 65.9 47.5 4.0 2.8 7.9 3.7 Without a Heat Pump...... 53.5 ...

  14. Total..........................................................

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

    Air-Conditioning Equipment 1, 2 Central System...... 65.9 32.1 17.6 5.2 9.3 Without a Heat Pump......

  15. Total..........................................................

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

    5.6 17.7 7.9 Do Not Have Cooling Equipment...... 17.8 2.1 1.8 0.3 Have Cooling Equipment...... 93.3 23.5 16.0 7.5 Use ...

  16. Total..........................................................

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

    ... 111.1 20.6 15.1 5.5 Do Not Have Cooling Equipment...... 17.8 4.0 2.4 1.7 Have Cooling Equipment...... 93.3 ...

  17. Total..........................................................

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

    33.0 8.0 3.4 5.9 14.4 1.2 Do Not Have Cooling Equipment...... 17.8 6.5 1.6 0.9 1.3 2.4 0.2 Have Cooling Equipment...... 93.3 26.5 6.5 2.5 ...

  18. Method for predicting dry mechanical properties from wet wood and standing trees

    DOE Patents [OSTI]

    Meglen, Robert R.; Kelley, Stephen S.

    2003-08-12

    A method for determining the dry mechanical strength for a green wood comprising: illuminating a surface of the wood to be determined with light between 350-2,500 nm, the wood having a green moisture content; analyzing the surface using a spectrometric method, the method generating a first spectral data, and using a multivariate analysis to predict the dry mechanical strength of green wood when dry by comparing the first spectral data with a calibration model, the calibration model comprising a second spectrometric method of spectral data obtained from a reference wood having a green moisture content, the second spectral data correlated with a known mechanical strength analytical result obtained from a reference wood when dried and having a dry moisture content.

  19. Genomics of wood-degrading fungi (Journal Article) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Details In-Document Search This content will become publicly available on November 1, 2015 Title: Genomics of wood-degrading fungi Authors: Ohm, Robin A. ; Riley, Robert ;...

  20. Microsoft Word - DOE-ID-13-053 Woods Hole EC B3-16.doc

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

    Uranium from Seawater: Studies under Real Ocean Conditions - Woods Hole Oceanographic ... and the best platform to expose, in high current regimes, these new fibers to the optimal ...

  1. Techno-economic analysis of wood biomass boilers for the greenhouse industry

    SciTech Connect (OSTI)

    Chau, J.; Sowlati, T.; Sokhansanj, Shahabaddine; Bi, X.T.; Preto, F.; Melin, Staffan

    2009-01-01

    The objective of this study is to perform a techno-economic analysis on a typical wood pellet and wood residue boiler for generation of heat to an average-sized greenhouse in British Columbia. The variables analyzed included greenhouse size and structure, boiler efficiency, fuel types, and source of carbon dioxide (CO2) for crop fertilization. The net present value (NPV) show that installing a wood pellet or a wood residue boiler to provide 40% of the annual heat demand is more economical than using a natural gas boiler to provide all the heat at a discount rate of 10%. For an assumed lifespan of 25 years, a wood pellet boiler system could generate NPV of C$259,311 without electrostatic precipitator (ESP) and C$74,695 with ESP, respectively. While, installing a wood residue boiler with or without an ESP could provide NPV of C$919,922 or C$1,104,538, respectively. Using a wood biomass boiler could also eliminate over 3000 tonne CO2 equivalents of greenhouse gases annually. Wood biomass combustion generates more particulate matters than natural gas combustion. However, an advanced emission control system could significantly reduce particulate matters emission from wood biomass combustion which would bring the particulate emission to a relatively similar level as for natural gas.

  2. Water Sampling At Hot Lake Area (Wood, 2002) | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Hot Lake Area (Wood, 2002) Exploration Activity Details Location Hot Lake...

  3. Water Sampling At Belknap-Foley-Bigelow Hot Springs Area (Wood...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Belknap-Foley-Bigelow Hot Springs Area (Wood, 2002) Exploration Activity...

  4. Microsoft Word - Title Page Wood Feeding Beetle 2013.docx

    Office of Scientific and Technical Information (OSTI)

    M etagenomic Profiling Reveals Lignocellulose Degrading System in a Microbial Community Associated w ith a Wood- Feeding Beetle July 2013 Correspondence should be addressed to: John E. Carlson - i e c l 6 @ p s u . e d u Scully, Erin D.1; Geib, Scott M.2; Hoover, Kelli3; Tien, Ming4; Tringe, S usannah G.5; Barry, Kerrie W.3 ; Glavina del Rio, Tijana5; Chovatia,M ansi5; Herr, Joshua R.6 7 ; and Carlson, John E .7' 8 1 Intercollege Program in Genetics a t the Huck Institutes of the Life Sciences,

  5. The Honorable John T. 'Gregorio 301 N. Wood Avenue

    Office of Legacy Management (LM)

    Eiergy ; Washington, DC 20585 -, (, > - .' c ' . FEB 1 7 1995 _ .; , _-, The Honorable John T. 'Gregorio 301 N. Wood Avenue Linden, 'New Jersey 07036 d. \ Dear Mayor Gregorio: ,' ,' .' , Secretary of Energy Hazel O'Leary has announced a new approach to openness, in the'llepartment' of Energy (DDE) and its co,annunications with the .public.', In sup~port of this initiative, we are.pleased to forward.the,enclosed information reiated to the.former Linden Pilot Plant of the Chemical' Construction

  6. Environmental characterization studies of a high-throughput wood gasifier

    SciTech Connect (OSTI)

    Chang, H.; Niemann, R.C.; Wilzbach, K.E.; Paisley, M.

    1983-01-01

    Potential environmental effects associated with thermochemical biomass gasification have been studied by Argonne National Laboratory in cooperation with Battelle Columbus Laboratories (BCL). A series of samples from the process research unit of an indirectly heated, high-throughput wood gasifier operated by BCL has been analyzed for potentially toxic organic compounds and trace elements. The results indicate that, under the test-run conditions, the gasification of both pine and hardwood is accompanied by the formation of some oil, the heavier fraction of which gives a positive response in the Ames assay for mutagenicity and contains numerous phenols and polycyclic aromatic hydrocarbons, including some carcinogens. The implications of these observations are discussed.

  7. Released: August 2009

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

    Table 3.6 Selected Wood and Wood-Related Products in Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: Selected NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." ,,"Selected Wood and Wood-Related Products" ,,,"Biomass" ,,,,,,"Wood Residues" ,,,,,,"and","Wood-Related" " "," ","Pulping Liquor"," ","

  8. Released: May 2013

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

    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." ,,"Selected Wood and Wood-Related Products" ,,,"Biomass" ,,,,,,"Wood Residues" ,,,,,,"and","Wood-Related" " "," ","Pulping Liquor"," ","

  9. Genome analysis of Daldinia eschscholtzii strains UM 1400 and UM 1020, wood-decaying fungi isolated from human hosts

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

    Chan, Chai Ling; Yew, Su Mei; Ngeow, Yun Fong; Na, Shiang Ling; Lee, Kok Wei; Hoh, Chee-Choong; Yee, Wai-Yan; Ng, Kee Peng

    2015-11-18

    Background: Daldinia eschscholtzii is a wood-inhabiting fungus that causes wood decay under certain conditions. It has a broad host range and produces a large repertoire of potentially bioactive compounds. However, there is no extensive genome analysis on this fungal species. Results: Two fungal isolates (UM 1400 and UM 1020) from human specimens were identified as Daldinia eschscholtzii by morphological features and ITS-based phylogenetic analysis. Both genomes were similar in size with 10,822 predicted genes in UM 1400 (35.8 Mb) and 11,120 predicted genes in UM 1020 (35.5 Mb). A total of 751 gene families were shared among both UM isolates,more » including gene families associated with fungus-host interactions. In the CAZyme comparative analysis, both genomes were found to contain arrays of CAZyme related to plant cell wall degradation. Genes encoding secreted peptidases were found in the genomes, which encode for the peptidases involved in the degradation of structural proteins in plant cell wall. In addition, arrays of secondary metabolite backbone genes were identified in both genomes, indicating of their potential to produce bioactive secondary metabolites. Both genomes also contained an abundance of gene encoding signaling components, with three proposed MAPK cascades involved in cell wall integrity, osmoregulation, and mating/filamentation. Besides genomic evidence for degrading capability, both isolates also harbored an array of genes encoding stress response proteins that are potentially significant for adaptation to living in the hostile environments. In conclusion: Our genomic studies provide further information for the biological understanding of the D. eschscholtzii and suggest that these wood-decaying fungi are also equipped for adaptation to adverse environments in the human host.« less

  10. Genome analysis of Daldinia eschscholtzii strains UM 1400 and UM 1020, wood-decaying fungi isolated from human hosts

    SciTech Connect (OSTI)

    Chan, Chai Ling; Yew, Su Mei; Ngeow, Yun Fong; Na, Shiang Ling; Lee, Kok Wei; Hoh, Chee-Choong; Yee, Wai-Yan; Ng, Kee Peng

    2015-11-18

    Background: Daldinia eschscholtzii is a wood-inhabiting fungus that causes wood decay under certain conditions. It has a broad host range and produces a large repertoire of potentially bioactive compounds. However, there is no extensive genome analysis on this fungal species. Results: Two fungal isolates (UM 1400 and UM 1020) from human specimens were identified as Daldinia eschscholtzii by morphological features and ITS-based phylogenetic analysis. Both genomes were similar in size with 10,822 predicted genes in UM 1400 (35.8 Mb) and 11,120 predicted genes in UM 1020 (35.5 Mb). A total of 751 gene families were shared among both UM isolates, including gene families associated with fungus-host interactions. In the CAZyme comparative analysis, both genomes were found to contain arrays of CAZyme related to plant cell wall degradation. Genes encoding secreted peptidases were found in the genomes, which encode for the peptidases involved in the degradation of structural proteins in plant cell wall. In addition, arrays of secondary metabolite backbone genes were identified in both genomes, indicating of their potential to produce bioactive secondary metabolites. Both genomes also contained an abundance of gene encoding signaling components, with three proposed MAPK cascades involved in cell wall integrity, osmoregulation, and mating/filamentation. Besides genomic evidence for degrading capability, both isolates also harbored an array of genes encoding stress response proteins that are potentially significant for adaptation to living in the hostile environments. In conclusion: Our genomic studies provide further information for the biological understanding of the D. eschscholtzii and suggest that these wood-decaying fungi are also equipped for adaptation to adverse environments in the human host.

  11. Determination of Total Solids in Biomass and Total Dissolved...

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

    ... The published moisture loss on drying for sodium tartrate is 15.62% (84.38% total solids). 14.6 Sample size: Determined by sample matrix. 14.7 Sample storage: Samples should be ...

  12. Hygrothermal Performance of West Coast Wood Deck Roofing System

    SciTech Connect (OSTI)

    Pallin, Simon B; Kehrer, Manfred; Desjarlais, Andre Omer

    2014-02-01

    Simulations of roofing assemblies are necessary in order to understand and adequately predict actual the hygrothermal performance. At the request of GAF, simulations have been setup to verify the difference in performance between white and black roofing membrane colors in relation to critical moisture accumulation for traditional low slope wood deck roofing systems typically deployed in various western U.S. Climate Zones. The performance of these roof assemblies has been simulated in the hygrothermal calculation tool of WUFI, from which the result was evaluated based on a defined criterion for moisture safety. The criterion was defined as the maximum accepted water content for wood materials and the highest acceptable moisture accumulation rate in relation to the risk of rot. Based on the criterion, the roof assemblies were certified as being either safe, risky or assumed to fail. The roof assemblies were simulated in different western climates, with varying insulation thicknesses, two different types of wooden decking, applied with varying interior moisture load and with either a high or low solar absorptivity at the roof surface (black or white surface color). The results show that the performance of the studied roof assemblies differs with regard to all of the varying parameters, especially the climate and the indoor moisture load.

  13. Demonstration of wood/coal co-firing in a spreader stoker

    SciTech Connect (OSTI)

    Cobb, J.T. Jr.; Elder, W.W.; Geiger, G.E.; Campus, N.J.; Miller, W.F.; Freeman, M.C.; McCreery, L.R.

    1999-07-01

    The Forest Service of the U.S. Department of Agriculture is sponsoring a series of demonstrations of wood/coal co-firing in stoker boilers. The first demonstration was conducted in 1997 in an industrial traveling-grate stoker boiler and the second in May 1999 in a spreader stoker boiler operated by the National Institute of Occupational Safety and Health (NIOSH) at the Bruceton Research Laboratory. The principal wood used in both demonstrations was tub-ground broken pallets. In the first phase of the NIOSH demonstration, four five-ton loads of wood/coal mixtures, varying from 3% to 12% wood (by Btu content), were combusted. The second phase of this demonstration was a 50-hour test using a 10% wood/coal blend delivered in two 20-ton loads. It has been concluded from both demonstrations that (1) a 10% wood/coal blend burns acceptably in the boiler, but (2) tub-ground urban wood is unacceptably difficult to feed through the grill above the delivery pit and through the spreader stokers. A method is being sought to acquire urban waste wood, having a more chip-like nature, to use in further testing and for commercialization.

  14. THE ROLE OF DEAD WOOD IN MAINTAINING ARTHROPOD DIVERSITY ON THE FOREST FLOOR.

    SciTech Connect (OSTI)

    Hanula, James L.; Horn, Scott; Wade, Dale D.

    2006-08-01

    AbstractDead wood is a major component of forests and contributes to overall diversity, primarily by supporting insects that feed directly on or in it. Further, a variety of organisms benefit by feeding on those insects. What is not well known is how or whether dead wood influences the composition of the arthropod community that is not solely dependent on it as a food resource, or whether woody debris influences prey available to generalist predators. One group likely to be affected by dead wood is ground-dwelling arthropods. We studied the effect of adding large dead wood to unburned and frequently burned pine stands to determine if dead wood was used more when the litter and understory plant community are removed. We also studied the effect of annual removal of dead wood from large (10-ha) plots over a 5-year period on ground-dwelling arthropods. In related studies, we examined the relationships among an endangered woodpecker that forages for prey on live trees, its prey, and dead wood in the forest. The results of these and other studies show that dead wood can influence the abundance and diversity of the ground-dwelling arthropod community and of prey available to generalist predators not foraging directly on dead trees.

  15. Relationships between dead wood and arthropods in the Southeastern United States.

    SciTech Connect (OSTI)

    Ulyshen, Michael, Darragh

    2009-05-01

    The importance of dead wood to maintaining forest diversity is now widely recognized. However, the habitat associations and sensitivities of many species associated with dead wood remain unknown, making it difficult to develop conservation plans for managed forests. The purpose of this research, conducted on the upper coastal plain of South Carolina, was to better understand the relationships between dead wood and arthropods in the southeastern United States. In a comparison of forest types, more beetle species emerged from logs collected in upland pine-dominated stands than in bottomland hardwood forests. This difference was most pronounced for Quercus nigra L., a species of tree uncommon in upland forests. In a comparison of wood postures, more beetle species emerged from logs than from snags, but a number of species appear to be dependent on snags including several canopy specialists. In a study of saproxylic beetle succession, species richness peaked within the first year of death and declined steadily thereafter. However, a number of species appear to be dependent on highly decayed logs, underscoring the importance of protecting wood at all stages of decay. In a study comparing litter-dwelling arthropod abundance at different distances from dead wood, arthropods were more abundant near dead wood than away from it. In another study, grounddwelling arthropods and saproxylic beetles were little affected by large-scale manipulations of dead wood in upland pine-dominated forests, possibly due to the suitability of the forests surrounding the plots.

  16. TotalView Training 2015

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

    TotalView Training 2015 TotalView Training 2015 NERSC will host an in-depth training course on TotalView, a graphical parallel debugger developed by Rogue Wave Software, on Thursday, March 26, 2015. This will be provided by Rogue Wave Software staff members. The training will include a lecture and demo sessions in the morning, followed by a hands-on parallel debugging session in the afternoon. Location This event will be presented online using WebEx technology and in person at NERSC Oakland

  17. URBAN WOOD/COAL CO-FIRING IN THE NIOSH BOILERPLANT

    SciTech Connect (OSTI)

    James T. Cobb, Jr.; Gene E. Geiger; William W. Elder III; Thomas Stickle; Jun Wang; Hongming Li; William P. Barry

    2002-06-13

    During the third quarter, the experimental portion of the project was carried out. Three one-day tests using wood/coal blends of 33% wood by volume (both construction wood and demolition wood) were conducted at the NIOSH Boiler Plant (NBP). Blends using hammer-milled wood were operationally successful and can form the basis of Phase II. Emissions of SO{sub 2} and NOx decreased and that of CO increased when compared with combusting coal alone. Mercury emissions were measured and the mathematical modeling of mercury speciation reactions continued, yielding many interesting results. Material and energy balances for the test periods at the NBP, as well as at the Bellefield Boiler Plant, were prepared. Steps were taken to remove severe constraints from the Pennsylvania Switchgrass Energy and Conservation Project and to organize the supplying of landfill gas to the Bruceton federal complex. Two presentations were made to meetings of the Electric Power Research Institute and the National Energy Technology Laboratory.

  18. ARM - Measurement - Total cloud water

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

    cloud water ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Total cloud water The...

  19. U.S. Total Exports

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

    CA Otay Mesa, CA Alamo, TX Clint, TX Del Rio, TX Eagle Pass, TX El Paso, TX Freeport, TX Hidalgo, TX Laredo, TX McAllen, TX Penitas, TX Rio Bravo, TX Rio Grande, TX Roma, TX Total ...

  20. Characteristics RSE Column Factor: Total

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

    and 1994 Vehicle Characteristics RSE Column Factor: Total 1993 Family Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factor: Less than 5,000 5,000...

  1. 2014 Total Electric Industry- Customers

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

    Customers (Data from forms EIA-861- schedules 4A, 4B, 4D, EIA-861S and EIA-861U) State Residential Commercial Industrial Transportation Total New England 6,243,013 862,269 28,017 8 ...

  2. "2014 Total Electric Industry- Customers"

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

    Customers" "(Data from forms EIA-861- schedules 4A, 4B, 4D, EIA-861S and EIA-861U)" "State","Residential","Commercial","Industrial","Transportation","Total" "New England",6243013,8...

  3. "Table A36. Total Expenditures for Purchased Energy Sources...

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

    ... W "," W "," W ",0," W ",1.1 2824," Organic Fibers, Noncellulosic",459," W "," W ... such combustible energy sources as wood" "waste, hydrogen, or waste oils and tars." " ...

  4. Commercial Demonstration of Wood Recovery, Recycling, and Value Adding Technologies

    SciTech Connect (OSTI)

    Auburn Machinery, Inc.

    2004-07-15

    This commercial demonstration project demonstrated the technical feasibility of converting low-value, underutilized and waste stream solid wood fiber material into higher valued products. With a growing need to increase product/production yield and reduce waste in most sawmills, few recovery operations and practically no data existed to support the viability of recovery operations. Prior to our efforts, most all in the forest products industry believed that recovery was difficult, extremely labor intensive, not cost effective, and that recovered products had low value and were difficult to sell. This project provided an opportunity for many within the industry to see through demonstration that converting waste stream material into higher valued products does in fact offer a solution. Our work, supported by the U.S. Department of Energy, throughout the project aimed to demonstrate a reasonable approach to reducing the millions of recoverable solid wood fiber tons that are annually treated as and converted into low value chips, mulch and fuel. Consequently sawmills continue to suffer from reduced availability of forest resources, higher raw material costs, growing waste disposal problems, increased global competition, and more pressure to operate in an Environmentally Friendly manner. It is our belief (based upon the experience of this project) that the successful mainstreaming of the recovery concept would assist in alleviating this burden as well as provide for a realistically achievable economic benefit to those who would seriously pursue the concept and tap into the rapidly growing ''GREEN'' building marketplace. Ultimately, with participation and aggressive pursuit of the recovery concept, the public would benefit in that: (1) Landfill/disposal waste volume could be reduced adding greater life to existing municipal landfill sites thereby minimizing the need to prematurely license and open added facilities. Also, there would be a cost avoidance benefit associated to what would have been the added municipal (community) management costs involved with maintaining closed landfills. (2) With greater quantities of recovered material being returned to and integrated into manufacturing and the marketplace, reduced demand upon virgin wood sources could help lead the way to promoting improved relations and environmental balance between producers and consumers further expanding the value of our natural resource without adding environmental burden.

  5. " Level: National Data and Regional...

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

    Totals;" " Row: NAICS Codes, Value of Shipments and ... "Code(a)","Subsector and Industry","Consumed(c)","Switchabl... because Relative Standard Error is greater than 50 ...

  6. " Level: National Data and Regional...

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

    Totals;" " Row: NAICS Codes, Value of Shipments and ... "Code(a)","Subsector and Industry","Receipts(c)","Switchabl... because Relative Standard Error is greater than 50 ...

  7. ,,"Distillate Fuel Oil",,,"Alternative Energy Sources(b)"

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

    Standard Errors for Table 10.8;" " Unit: Percents." ,,"Distillate Fuel Oil",,,"Alternative Energy Sources(b)" ,,,..."Coal Coke" "NAICS"," ","Total"," ","Not","Electricity","Nat...

  8. " Level: National Data and Regional...

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

    2 Capability to Switch Natural Gas to Alternative Energy Sources, 2002;" " Level: National Data and Regional Totals;" " Row: NAICS Codes, Value of Shipments and Employment Sizes;" ...

  9. ,,"Distillate Fuel Oil(b)",,,"Alternative Energy Sources(c)"

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

    Errors for Table 10.9;" " Unit: Percents." ,,"Distillate Fuel Oil(b)",,,"Alternative Energy Sources(c)" ,,,..."Coal Coke" "NAICS"," ","Total"," ","Not","Electricity","Nat...

  10. " Level: National Data and Regional...

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

    8 Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2002; " " Level: National Data and Regional Totals;" " Row: NAICS Codes, Value of Shipments and Employment ...

  11. " Level: National Data and Regional...

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

    2 Capability to Switch LPG to Alternative Energy Sources, 2002; " " Level: National Data and Regional Totals;" " Row: NAICS Codes, Value of Shipments and Employment Sizes;" " ...

  12. " Level: National Data and Regional...

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

    4 Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2002;" " Level: National Data and Regional Totals;" " Row: NAICS Codes, Value of Shipments and Employment ...

  13. Table N11.4. Expenditures for Purchased Electricity, Natural...

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

    Electricity, Natural Gas, and Steam, 1998;" " Level: National Data and Regional Totals; " " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, ...

  14. Environmental-performance research priorities: Wood products. Final report

    SciTech Connect (OSTI)

    1998-01-15

    This report describes a research plan to establish environmental, energy, and economic performance measures for renewable building materials, and to identify management and technology alternatives to improve environmental performance in a cost-effective manner. The research plan is designed to: (1) collect environmental and economic data on all life-cycle stages of the materials, (2) ensure that the data follows consistent definitions and collection procedures, and (3) develop analytical procedures for life-cycle analysis to address environmental performance questions. The research will be subdivided into a number of individual project modules. The five processing stages of wood used to organize the research plan are: (1) resource management and harvesting; (2) processing; (3) design and construction of structures; (4) use, maintenance, and disposal; and (5) waste recycling. Individual research module descriptions are provided in the report, as well as assessment techniques, research standards and protocol, and research management. 13 refs., 5 figs., 3 tabs.

  15. Ecological objectives can be achieved with wood-derived bioenergy

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

    Dale, Virginia H.; Kline, Keith L.; Marland, Gregg; Miner, Reid A.

    2015-01-01

    Renewable, biomass-based energy options can reduce the climate impacts of fossil fuels. However, calculating the effects of wood-derived bioenergy on greenhouse gases (GHGs), and thus on climate, is complicated (Miner et al. 2015). To clarify concerns and options about bioenergy, in November 2014, the US Environmental Protection Agency (EPA) produced a second draft of its Framework for Assessing Biogenic CO2 Emissions fromStationary Sources (http://1.usa.gov/1dikgHq), which considers the latest scientific information and input from stakeholders. In addition, the EPA is expected to make decisions soon about the use of woody biomass under the Clean Power Plan, which sets targets for carbonmore » pollution from power plants.« less

  16. Ecological objectives can be achieved with wood-derived bioenergy

    SciTech Connect (OSTI)

    Dale, Virginia H.; Kline, Keith L.; Marland, Gregg; Miner, Reid A.

    2015-08-01

    Renewable, biomass-based energy options can reduce the climate impacts of fossil fuels. However, calculating the effects of wood-derived bioenergy on greenhouse gases (GHGs), and thus on climate, is complicated (Miner et al. 2015). To clarify concerns and options about bioenergy, in November 2014, the US Environmental Protection Agency (EPA) produced a second draft of its Framework for Assessing Biogenic CO2 Emissions fromStationary Sources (http://1.usa.gov/1dikgHq), which considers the latest scientific information and input from stakeholders. In addition, the EPA is expected to make decisions soon about the use of woody biomass under the Clean Power Plan, which sets targets for carbon pollution from power plants.

  17. Urban Wood-Based Bio-Energy Systems in Seattle

    SciTech Connect (OSTI)

    Stan Gent, Seattle Steam Company

    2010-10-25

    Seattle Steam Company provides thermal energy service (steam) to the majority of buildings and facilities in downtown Seattle, including major hospitals (Swedish and Virginia Mason) and The Northwest (Level I) Regional Trauma Center. Seattle Steam has been heating downtown businesses for 117 years, with an average length of service to its customers of 40 years. In 2008 and 2009 Seattle Steam developed a biomass-fueled renewable energy (bio-energy) system to replace one of its gas-fired boilers that will reduce greenhouse gases, pollutants and the amount of waste sent to landfills. This work in this sub-project included several distinct tasks associated with the biomass project development as follows: a. Engineering and Architecture: Engineering focused on development of system control strategies, development of manuals for start up and commissioning. b. Training: The project developer will train its current operating staff to operate equipment and facilities. c. Flue Gas Clean-Up Equipment Concept Design: The concept development of acid gas emissions control system strategies associated with the supply wood to the project. d. Fuel Supply Management Plan: Development of plans and specifications for the supply of wood. It will include potential fuel sampling analysis and development of contracts for delivery and management of fuel suppliers and handlers. e. Integrated Fuel Management System Development: Seattle Steam requires a biomass Fuel Management System to track and manage the delivery, testing, processing and invoicing of delivered fuel. This application will be web-based and accessed from a password-protected URL, restricting data access and privileges by user-level.

  18. CATEGORY Total Procurement Total Small Business Small Disadvantaged

    National Nuclear Security Administration (NNSA)

    CATEGORY Total Procurement Total Small Business Small Disadvantaged Business Woman Owned Small Business HubZone Small Business Veteran-Owned Small Business Service Disabled Veteran Owned Small Business FY 2013 Dollars Accomplished $1,049,087,940 $562,676,028 $136,485,766 $106,515,229 $12,080,258 $63,473,852 $28,080,960 FY 2013 % Accomplishment 54.40% 13.00% 10.20% 1.20% 6.60% 2.70% FY 2014 Dollars Accomplished $868,961,755 $443,711,175 $92,478,522 $88,633,031 $29,867,820 $43,719,452 $26,826,374

  19. Feasibility study of wood-fired cogeneration at a Wood Products Industrial Park, Belington, WV. Phase II

    SciTech Connect (OSTI)

    Vasenda, S.K.; Hassler, C.C.

    1992-06-01

    Customarily, electricity is generated in a utility power plant while thermal energy is generated in a heating/cooling plant; the electricity produced at the power plant is transmitted to the heating/cooling plant to power equipments. These two separate systems waste vast amounts of heat and result in individual efficiencies of about 35%. Cogeneration is the sequential production of power (electrical or mechanical) and thermal energy (process steam, hot/chilled water) from a single power source; the reject heat of one process issued as input into the subsequent process. Cogeneration increases the efficiency of these stand-alone systems by producing these two products sequentially at one location using a small additional amount of fuel, rendering the system efficiency greater than 70%. This report discusses cogeneration technologies as applied to wood fuel fired system.

  20. nemsoverview_928.vp

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

    (NAICS 2121) Glass and Glass Products (NAICS 3272) Oil and Gas Extraction (NAICS 211) Hydraulic Cement (NAICS 32731) Metal and Other Nonmetallic Mining (NAICS 2122-2123) Blast...

  1. Released: August 2009

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

    RSE Table 3.6 Relative Standard Errors for Table 3.6;" " Unit: Percents." ,,"Selected Wood and Wood-Related Products" ,,,"Biomass" ,,,,,,"Wood Residues" ,,,,,,"and","Wood-Related" " "," ","Pulping Liquor"," "," ","Wood","Byproducts","and",," " "NAICS","

  2. Genomics of wood-degrading fungi Ohm, Robin A.; Riley, Robert...

    Office of Scientific and Technical Information (OSTI)

    Genomics of wood-degrading fungi Ohm, Robin A.; Riley, Robert; Salamov, Asaf; Min, Byoungnam; Choi, In-Geol; Grigoriev, Igor V. Not Available Elsevier None USDOE United States...

  3. Title 43 CFR 3620 Free Use of Petrified Wood | Open Energy Information

    Open Energy Info (EERE)

    620 Free Use of Petrified Wood Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- Federal RegulationFederal Regulation: Title 43 CFR 3620 Free Use...

  4. Residential Bulk-Fed Wood-Pellet Central Boilers and Furnace Rebate Program

    Broader source: Energy.gov [DOE]

    The New Hampshire Public Utilities Commission (PUC) is offering rebates of 30% of the installed cost of qualifying new residential bulk-fed, wood-pellet central heating boilers or furnaces. The...

  5. SEP Success Story: How Much Wood Would a North Country School Chip

    Broader source: Energy.gov [DOE]

    The North Country School has dedicated itself to finding renewable sources of fuel to heat the approximately 85,000 square feet of classroom and office space on campus. After investigating many options, installing a wood chip boiler emerged as the most environmental and economical choice, due in large part to the availability of wood chips that are a by-product of the campus’ forest woodlot. Learn more.

  6. Evolution of novel wood decay mechanisms in Agaricales revealed by the

    Office of Scientific and Technical Information (OSTI)

    genome sequences of Fistulina hepatica and Cylindrobasidium torrendii (Journal Article) | DOE PAGES Evolution of novel wood decay mechanisms in Agaricales revealed by the genome sequences of Fistulina hepatica and Cylindrobasidium torrendii « Prev Next » Title: Evolution of novel wood decay mechanisms in Agaricales revealed by the genome sequences of Fistulina hepatica and Cylindrobasidium torrendii Authors: Floudas, Dimitrios ; Held, Benjamin W. ; Riley, Robert ; Nagy, Laszlo G. ;

  7. Genome sequence of a white rot fungus Schizopora paradoxa KUC8140 for wood

    Office of Scientific and Technical Information (OSTI)

    decay and mycoremediation (Journal Article) | DOE PAGES Genome sequence of a white rot fungus Schizopora paradoxa KUC8140 for wood decay and mycoremediation This content will become publicly available on July 23, 2016 « Prev Next » Title: Genome sequence of a white rot fungus Schizopora paradoxa KUC8140 for wood decay and mycoremediation Authors: Min, Byoungnam ; Park, Hongjae ; Jang, Yeongseon ; Kim, Jae-Jin ; Kim, Kyoung Heon ; Pangilinan, Jasmyn ; Lipzen, Anna ; Riley, Robert ;

  8. Method and apparatus for assaying wood pulp fibers (Patent) | SciTech

    Office of Scientific and Technical Information (OSTI)

    Connect Patent: Method and apparatus for assaying wood pulp fibers Citation Details In-Document Search Title: Method and apparatus for assaying wood pulp fibers × You are accessing a document from the Department of Energy's (DOE) SciTech Connect. This site is a product of DOE's Office of Scientific and Technical Information (OSTI) and is provided as a public service. Visit OSTI to utilize additional information resources in energy science and technology. A paper copy of this document is

  9. Continuous-flow wood chip reactor for biodegradation of 2,4-DCP

    SciTech Connect (OSTI)

    Yum, K.J.; Peirce, J.J.

    1998-02-01

    Chlorinated phenols are by-products of chlorine bleaching in numerous industries including pulp and paper mills and can be emitted from a variety of incineration processes. This research investigates the ability and efficiency of continuous-flow wood chip reactors seeded with a white-rot fungus to degrade 2,4-dichlorophenol (2,4-DCP) using wood chips as a carbon source. When 2,4-DCP was the only substrate (nonglucose treatment conditions), the wood chip reactor system had a high degradation efficiency and operated continuously without excessive fungal biomass buildup on the wood chips. In the presence of added glucose, a clogging problem and an effluent contamination problem of fungal cells are found during the reactor operating period. In addition, 2,4-DCP is degraded effectively both under low-nitrogen as well as high-nitrogen treatment conditions. The 2,4-DCP is degraded to a greater extent with small-size wood chips and hardwood chips as a carbon source. The results of this research demonstrate a potential application of wood chip reactor systems for the treatment of contaminated water while expanding the use of wasted forest products.

  10. Total Adjusted Sales of Kerosene

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

    End Use: Total Residential Commercial Industrial Farm All Other Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: End Use Area 2009 2010 2011 2012 2013 2014 View History U.S. 269,010 305,508 187,656 81,102 79,674 137,928 1984-2014 East Coast (PADD 1) 198,762 237,397 142,189 63,075 61,327 106,995 1984-2014 New England (PADD 1A) 56,661 53,363 38,448 15,983 15,991 27,500 1984-2014 Connecticut 8,800 7,437

  11. Total Imports of Residual Fuel

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

    Sep-15 Oct-15 Nov-15 Dec-15 Jan-16 Feb-16 View History U.S. Total 7,281 4,217 5,941 6,842 9,010 5,030 1936-2016 PAD District 1 4,571 2,206 2,952 3,174 3,127 2,664 1981-2016 Connecticut 1995-2015 Delaware 678 85 1995-2015 Florida 351 299 932 836 858 649 1995-2016 Georgia 120 295 210 262 1995-2016 Maine 1995-2015 Maryland 1995-2015 Massachusetts 1995-2015 New Hampshire 1995-2015 New Jersey 1,575 400 1,131 1,712 1,283 843 1995-2016 New York 1,475 998 350 322 234 824 1995-2016 North Carolina

  12. Flash methanolysis of wood for the production of fuels and chemicals

    SciTech Connect (OSTI)

    Steinberg, M.; Fallon, P.T.; Sundaram, M.S.

    1983-01-01

    Biomass in the form of less than 1000 micron oven dried fir wood particles was flash pyrolyzed in the presence of methane (methanolysis) in a downflow 1 in. I.D. tubular reactor at pressures of 20 to 200 psi and temperatures between 800/sup 0/ and 1050/sup 0/C. The major products were benzene, toluene and xylene (BTX), a heavy oily liquid (greater than or equal to C/sub 9/), ethylene and carbon monoxide. As much as 12% of the available carbon in the wood was converted to BTX, 21% to ethylene and 48% to carbon monoxide at 50 psi and 1000/sup 0/C. The maximum heavier oil yield of 11% was observed at 50 psi and 800/sup 0/C. Wood particle residence times for all experiments were calculated to be less than 1 second at 20 and 50 psi and up to 2.8 sec at 200 psi. The yelds were found to be greatly influenced by the methane to wood feed ratio. Experiments were conducted to insure the results to be that produced from the wood and methane and not a catalytic effect of the reactor wall of foreign matter. Material balance, including char analyses, indicate approximately 75 to 80% of the available carbon in the feed wood reacted. Methane balances were within the margin of error of the measuring equipment showing that there is no significant net production or consumption of methane. A preliminary economic evaluation of a 2000 ton/day wood processing plant producing ethylene, benzene and methanol showed a reasonably cmpetitive plant investment of $29,000/barrel fuel oil equivalent/day assuming 15% return on investment and present market values for the products.

  13. Quantifying And Predicting Wood Quality Of Loblolly And Slash Pine Under Intensive Forest Management Final Technical Report

    SciTech Connect (OSTI)

    Richard F. Daniels; Alexander Clark III

    2006-05-04

    The forest industry will increasingly rely on fast-growing intensively managed southern pine plantations to furnish wood and fiber. Intensive silvicultural practices, including competition control, stand density control, fertilization, and genetic improvement are yielding tremendous gains in the quantity of wood production from commercial forest land. How these technologies affect wood properties was heretofore unknown, although there is concern about the suitability of fast-grown wood for traditional forest products. A four year study was undertaken to examine the effects of these intensive practices on the properties of loblolly and slash pine wood by applying a common sampling method over 10 existing field experiments. Early weed control gets young pines off to a rapid start, often with dramatically increased growth rates. This response is all in juvenile wood however, which is low in density and strength. Similar results are found with early Nitrogen fertilization at the time of planting. These treatments increase the proportion of juvenile wood in the tree. Later, mid-rotation fertilization with Nitrogen and Phosphorus can have long term (4-8 year) growth gains. Slight reductions in wood density are short-lived (1-2 years) and occur while the tree is producing dense, stiff mature wood. Impacts of mid-rotation fertilization on wood properties for manufacturing are estimated to be minimal. Genetic differences are evident in wood density and other properties. Single family plantings showed somewhat more uniform properties than bulk improved or unimproved seedlots. Selection of genetic sources with optimal wood properties may counter some of the negative impacts of intensive weed control and fertilization. This work will allow forest managers to better predict the effects of their practices on the quality of their final product.

  14. Fuel switching from wood to LPG can benefit the environment

    SciTech Connect (OSTI)

    Nautiyal, Sunil Kaechele, Harald

    2008-11-15

    The Himalaya in India is one of the world's biodiversity hotspots. Various scientific studies have reported and proven that many factors are responsible for the tremendous decline of the Himalayan forests. Extraction of wood biomass from the forests for fuel is one of the factors, as rural households rely entirely on this for their domestic energy. Efforts continue for both conservation and development of the Himalayan forests and landscape. It has been reported that people are still looking for more viable solutions that could help them to improve their lifestyle as well as facilitate ecosystem conservation and preservation of existing biodiversity. In this direction, we have documented the potential of the introduction of liquefied petroleum gas (LPG), which is one of the solutions that have been offered to the local people as a substitute for woodfuel to help meet their domestic energy demand. The results of the current study found dramatic change in per capita woodfuel consumption in the last two decades in the villages where people are using LPG. The outcome showed that woodfuel consumption had been about 475 kg per capita per year in the region, but after introduction of LPG, this was reduced to 285 kg per capita per year in 1990-1995, and was further reduced to 46 kg per capita per year in 2000-2005. Besides improving the living conditions of the local people, this transformation has had great environmental consequences. Empirical evidence shows that this new paradigm shift is having positive external effects on the surrounding forests. Consequently, we have observed a high density of tree saplings and seedlings in adjacent forests, which serves as an assessment indicator of forest health. With the help of the current study, we propose that when thinking about a top-down approach to conservation, better solutions, which are often ignored, should be offered to local people.

  15. Total-derivative supersymmetry breaking

    SciTech Connect (OSTI)

    Haba, Naoyuki; Uekusa, Nobuhiro

    2010-05-15

    On an interval compactification in supersymmetric theory, boundary conditions for bulk fields must be treated carefully. If they are taken arbitrarily following the requirement that a theory is supersymmetric, the conditions could give redundant constraints on the theory. We construct a supersymmetric action integral on an interval by introducing brane interactions with which total-derivative terms under the supersymmetry transformation become zero due to a cancellation. The variational principle leads equations of motion and also boundary conditions for bulk fields, which determine boundary values of bulk fields. By estimating mass spectrum, spontaneous supersymmetry breaking in this simple setup can be realized in a new framework. This supersymmetry breaking does not induce a massless R axion, which is favorable for phenomenology. It is worth noting that fermions in hyper-multiplet, gauge bosons, and the fifth-dimensional component of gauge bosons can have zero-modes (while the other components are all massive as Kaluza-Klein modes), which fits the gauge-Higgs unification scenarios.

  16. "Table A22. Total Quantity of Purchased Energy Sources by...

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

    ... Fibers",0,0,0,0,0,0,0,0,0,"NF" 2824," Organic Fibers Noncellulosic",0,0,0,0,0,0,0,0,0,"... such combustible energy sources as wood" "waste, hydrogen, or waste oils and tars." " ...

  17. "Table A24. Total Expenditures for Purchased Energy Sources...

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

    ... Fibers",0,0,0,0,0,0,0,0,0,"NF" 2824," Organic Fibers Noncellulosic",0,0,0,0,0,0,0,0,0,"... such combustible energy sources as wood" "waste, hydrogen, or waste oils and tars." " ...

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

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

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

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

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

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

  20. ARM - Measurement - Shortwave broadband total downwelling irradiance

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

    Measurement : Shortwave broadband total downwelling irradiance The total diffuse and direct radiant energy that comes from some continuous range of directions, at wavelengths ...

  1. Total Space Heating Water Heating Cook-

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

    Commercial Buildings Energy Consumption Survey: Energy End-Use Consumption Tables Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing...

  2. Total Space Heating Water Heating Cook-

    Gasoline and Diesel Fuel Update (EIA)

    Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 1,870 1,276...

  3. Total Space Heating Water Heating Cook-

    Gasoline and Diesel Fuel Update (EIA)

    Energy Consumption Survey: Energy End-Use Consumption Tables Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All...

  4. Total Space Heating Water Heating Cook-

    Gasoline and Diesel Fuel Update (EIA)

    Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 1,602 1,397...

  5. Total Space Heating Water Heating Cook-

    Gasoline and Diesel Fuel Update (EIA)

    Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings ... 2,037...

  6. URBAN WOOD/COAL CO-FIRING IN THE BELLEFIELD BOILERPLANT

    SciTech Connect (OSTI)

    James T. Cobb, Jr.; Gene E. Geiger; William W. Elder III; William P. Barry; Jun Wang; Hongming Li

    2001-08-21

    During the third quarter, important preparatory work was continued so that the experimental activities can begin early in the fourth quarter. Authorization was awaited in response to the letter that was submitted to the Allegheny County Health Department (ACHD) seeking an R&D variance for the air permit at the Bellefield Boiler Plant (BBP). Verbal authorizations were received from the Pennsylvania Department of Environmental Protection (PADEP) for R&D variances for solid waste permits at the J. A. Rutter Company (JARC), and Emery Tree Service (ETS). Construction wood was acquired from Thompson Properties and Seven D Corporation. Forty tons of pallet and construction wood were ground to produce BioGrind Wood Chips at JARC and delivered to Mon Valley Transportation Company (MVTC). Five tons of construction wood were milled at ETS and half of the product delivered to MVTC. Discussions were held with BBP and Energy Systems Associates (ESA) about the test program. Material and energy balances on Boiler No.1 and a plan for data collection were prepared. Presentations describing the University of Pittsburgh Wood/Coal Co-Firing Program were provided to the Pittsburgh Chapter of the Pennsylvania Society of Professional Engineers, and the Upgraded Coal Interest Group and the Biomass Interest Group (BIG) of the Electric Power Research Institute (EPRI). An article describing the program appeared in the Pittsburgh Post-Gazette. An application was submitted for authorization for a Pennsylvania Switchgrass Energy and Conservation Program.

  7. A novel approach in organic waste utilization through biochar addition in wood/polypropylene composites

    SciTech Connect (OSTI)

    Das, Oisik; Sarmah, Ajit K.; Bhattacharyya, Debes

    2015-04-15

    Highlights: • Biochar made from waste wood was added with wood polypropylene composites. • 24% biochar gave the best mechanical properties. • 6% biochar had no effect on physico-mechanical properties of composites. • Coupling agent remained unreacted in composites having higher amount of biochar. - Abstract: In an attempt to concurrently address the issues related to landfill gas emission and utilization of organic wastes, a relatively novel idea is introduced to develop biocomposites where biochar made from pyrolysis of waste wood (Pinus radiata) is added with the same wood, plastic/polymer (polypropylene) and maleated anhydride polypropylene (MAPP). Experiments were conducted by manufacturing wood and polypropylene composites (WPCs) mixed with 6 wt%, 12 wt%, 18 wt%, 24 wt%, and 30 wt% biochar. Though 6 wt% addition had similar properties to that of the control (composite without biochar), increasing biochar content to 24 wt% improved the composite’s tensile/flexural strengths and moduli. The biochar, having high surface area due to fine particles and being highly carbonised, acted as reinforcing filler in the biocomposite. Composites having 12 wt% and 18 wt% of biochar were found to be the most ductile and thermally stable, respectively. This study demonstrates that, WPCs added with biochar has good potential to mitigate wastes while simultaneously producing biocomposites having properties that might be suited for various end applications.

  8. Renewable wood fuel: Fuel feed system for a pulverized coal boiler. Final report

    SciTech Connect (OSTI)

    1996-01-01

    This report evaluates a pilot test program conducted by New York State Gas & Electric Corporation to evaluate the feasibility of co-firing a pulverized coal plant with renewable wood fuels. The goal was to establish that such a co-firing system can reduce air emissions while maintaining good operational procedures and cost controls. The test fuel feed system employed at Greenidge Station`s Boiler 6 was shown to be effective in feeding wood products. Emission results were promising and an economic analysis indicates that it will be beneficial to pursue further refinements to the equipment and systems. The report recommends further evaluation of the generation and emission impacts using woods of varied moisture contents and at varied Btu input rates to determine if a drying system would be a cost-effective option.

  9. Electric co-generation units equipped with wood gasifier and Stirling engine

    SciTech Connect (OSTI)

    Bartolini, C.M.; Caresana, F.; Pelagalli, L.

    1998-07-01

    The disposal of industrial waste such as oil sludges, waste plastic, lubricant oils, paper and wood poses serious problems due to the ever increasing amount of material to be disposed of and to the difficulty in finding new dumping sites. The interest in energy recovery technologies is accordingly on the increase. In particular, large amounts of waste wood are simply burned or thrown away causing considerable environmental damage. In this context the co-generation technique represents one of the possible solutions for efficient energy conversion. The present paper proposes the employment of a Stirling engine as prime mover in a co-generation set equipped with a wood gasifier. A Stirling engine prototype previously developed in a joint project with Mase Generators, an Italian manufacturer of fixed and portable electrogenerators, is illustrated and its design is described.

  10. Precision wood particle feedstocks with retained moisture contents of greater than 30% dry basis

    DOE Patents [OSTI]

    Dooley, James H; Lanning, David N

    2014-10-28

    Wood particles having fibers aligned in a grain, wherein: the wood particles are characterized by a length dimension (L) aligned substantially parallel to the grain, a width dimension (W) normal to L and aligned cross grain, and a height dimension (H) normal to W and L; the L.times.H dimensions define two side surfaces characterized by substantially intact longitudinally arrayed fibers; the W.times.H dimensions define two cross-grain end surfaces characterized individually as aligned either normal to the grain or oblique to the grain; the L.times.W dimensions define two substantially parallel top and bottom surfaces; and, a majority of the W.times.H surfaces in the mixture of wood particles have end checking.

  11. Assessment of potential wood supply for intermediate scale thermoconversion facilities, Tasks I, II, III

    SciTech Connect (OSTI)

    Not Available

    1985-11-01

    The Department of Energy's Biomass Thermochemical Conversion Program has been concerned with the potential of wood biomass to contribute to the Nation's energy supply. One of the factors inhibiting the selection of wood biomass for energy by non-forest industries, especially by those requiring large quantities (500 to 2000 green tons per day), is concern with adequate fuel supply in terms of both a supply system and an adequate resource base. With respect to the latter, this report looks at the gross resource base as has been historically reported and also examines factors other than traditional product removals that could reduce to some degree the amount of resource that is available. The study also examined the conversion of a New England utility from coal to wood chips.

  12. The flash pyrolysis and methanolysis of biomass (wood) for production of ethylene, benzene and methanol

    SciTech Connect (OSTI)

    Steinberg, M.; Fallon, P.T.; Sundaram, M.S.

    1990-02-01

    The process chemistry of the flash pyrolysis of biomass (wood) with the reactive gases, H{sub 2} and CH{sub 4} and with the non-reactive gases He and N{sub 2} is being determined in a 1 in. downflow tubular reactor at pressures from 20 to 1000 psi and temperatures from 600 to 1000{degrees}C. With hydrogen, flash hydropyrolysis leads to high yields of methane and CO which can be used for SNG and methanol fuel production. With methane, flash methanolysis leads to high yields of ethylene, benzene and CO which can be used for the production of valuable chemical feedstocks and methanol transportation fuel. At reactor conditions of 50 psi and 1000{degrees}C and approximately 1 sec residence time, the yields based on pine wood carbon conversion are up to 25% for ethylene, 25% for benzene, and 45% for CO, indicating that over 90% of the carbon in pine is converted to valuable products. Pine wood produces higher yields of hydrocarbon products than Douglas fir wood; the yield of ethylene is 2.3 times higher with methane than with helium or nitrogen, and for pine, the ratio is 7.5 times higher. The mechanism appears to be a free radical reaction between CH{sub 4} and the pyrolyzed wood. There appears to be no net production or consumption of methane. A preliminary process design and analysis indicates a potentially economical competitive system for the production of ethylene, benzene and methanol based on the methanolysis of wood. 10 refs., 18 figs., 1 tab.

  13. Investigation of possible health effects of community exposure to fermenting wood chips

    SciTech Connect (OSTI)

    Birkhead, G.; Vogt, R.L.; Hudson, P.J.

    1988-03-01

    We conducted a case-control study of emergency room (ER) patients to evaluate whether asthma is caused by living near a wood-chip fueled power plant that released wood-chip fermentation products. Only eight (29 per cent) of 28 asthma patients seen in the ER during an 11-week period lived within 1.5 miles of the plant compared with 18 (34 per cent) of 54 control patients matched for severity of diagnosis and seen during the same period (Mantel-Haenszel odds ratio controlling for age = 0.96).

  14. Demonstration Results From Greenhouse Heating with Liquified Wood

    SciTech Connect (OSTI)

    Steele, Philip; Parish, Don; Cooper, Jerome

    2011-07-01

    A boiler fuel known as Lignocellulosic Boiler Fuel (LBF) was developed at the Department of Forest Products, Mississippi State University for potential application for heating agricultural buildings. LBF was field tested to heat green houses in cooperation with Natchez Trace Greenhouses (NTG) located in Kosciusko, Mississippi. MSU modified an idled natural gas boiler located at NTG to combust the LBF. Thirty gallons of bio-oil were produced at the MSU Bio-oil Research Laboratory. The bio-oil was produced from the fast-pyrolysis of southern pine (15 gal) and white oak (15 gal) feedstocks and subsequently upgraded by a proprietary process. Preliminary field testing was conducted at (NTG). The LBF was produced from each wood species was tested separately and co-fed with diesel fuel to yield three fuel formulations: (1) 100% diesel; (2) 87.5% LBF from southern pine bio-oil co-fed with 12.5% diesel and (3) 87.5% LBF from white oak co-fed with 12.5% diesel fuel formulations. Each fuel formulation was combusted in a retrofit NTG boiler. Fuel consumption and water temperature were measured periodically. Flue gas from the boiler was analyzed by gas chromatograph. The 100% diesel fuel increased water temperature at a rate of 4 °F per min. for 35 min. to achieve the target 140 °F water temperature increase. The 87.5% pine LBF fuel cofed with 12.5%) diesel attained the 140 °F water temperature increase in 62 min. at a rate of 2.3 °F per min. The 87.5% white oak LBF fuel co-fed with 12.5% diesel reached the 140 °F water temperature increase in 85 min. at a rate of 1.6 °F per min. Fuel that contained 87.5% pine LBF co-fed with 12.5% diesel yielded nitrogen and oxygen at a ratio of 5.3 and carbon dioxide and carbon monoxide at a ratio of 22.2. Fuel formulations that contained 87.5% white oak LBF co-fed with 12.5% diesel yielded nitrogen and oxygen at a ratio of 4.9 and carbon dioxide and carbon monoxide at a ratio of 16.4. Neither the pine LBF nor the white oak LBF fuel showed any measureable methane emissions from the NTG boiler flue gas. These results indicate a viable potential for mildly upgraded bio-oil to become an alternative fuel source for greenhouse operations.

  15. Total Space Heating Water Heating Cook-

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

    Tables Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 634 578 46 1 Q 116.4 106.3...

  16. Million Cu. Feet Percent of National Total

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

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

  17. Million Cu. Feet Percent of National Total

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

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

  18. Million Cu. Feet Percent of National Total

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

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

  19. Million Cu. Feet Percent of National Total

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

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

  20. Million Cu. Feet Percent of National Total

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

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

  1. Total System Performance Assessment Peer Review Panel

    Broader source: Energy.gov [DOE]

    Total System Performance Assessment (TSPA) Peer Review Panel for predicting the performance of a repository at Yucca Mountain.

  2. Agenda 2020: A Technology Vision and Research Agenda for America's Forest, Wood and Paper Industry

    SciTech Connect (OSTI)

    none,

    1994-11-01

    In November 1994, the forest products industry published Agenda 2020: A Technology Vision and Research Agenda for America's Forest, Wood and Paper Industry, which articulated the industry's vision. This document set the foundation for collaborative efforts between the industry and the federal government.

  3. X-ray computed tomography of wood-adhesive bondlines: Attenuation and phase-contrast effects

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

    Paris, Jesse L.; Kamke, Frederick A.; Xiao, Xianghui

    2015-07-29

    Microscale X-ray computed tomography (XCT) is discussed as a technique for identifying 3D adhesive distribution in wood-adhesive bondlines. Visualization and material segmentation of the adhesives from the surrounding cellular structures require sufficient gray-scale contrast in the reconstructed XCT data. Commercial wood-adhesive polymers have similar chemical characteristics and density to wood cell wall polymers and therefore do not provide good XCT attenuation contrast in their native form. Here, three different adhesive types, namely phenol formaldehyde, polymeric diphenylmethane diisocyanate, and a hybrid polyvinyl acetate, are tagged with iodine such that they yield sufficient X-ray attenuation contrast. However, phase-contrast effects at material edgesmore » complicate image quality and segmentation in XCT data reconstructed with conventional filtered backprojection absorption contrast algorithms. A quantitative phase retrieval algorithm, which isolates and removes the phase-contrast effect, was demonstrated. The paper discusses and illustrates the balance between material X-ray attenuation and phase-contrast effects in all quantitative XCT analyses of wood-adhesive bondlines.« less

  4. Review and analysis of emissions data for residential wood-fired central furnaces

    SciTech Connect (OSTI)

    McCrillis, R.C.

    1998-12-31

    The paper reviews data published over the past 10--15 years on domestic wood-fired central heaters. Emphasis is on stick-fired units, the most common type used in the US, but also presented are data on chip- and pellet-fired units, showing that they are capable of achieving lower emissions.

  5. Renewed interest in prop supports as a replacement for wood cribs

    SciTech Connect (OSTI)

    Barczak, T.M.; Gearhart, D.F.

    1995-11-01

    Wood cribs have been the dominant form of supplemental support in coal mining for many years. Recently, there has been a renewed interest in prop supports as a replacement for wood cribbing due to the increasing cost of mine timber and engineering advancements in prop design to improve their stability and yield capability. Prop supports generally consume less material, can be installed in less time with less labor, and provide less restriction to mine ventilation than wood crib supports. Several prop supports are now available or under development. These include: (1) Strata Products Propsetter{trademark} Support System, (2) Heintzmann ACS and Super Prop; (3) MBK-Hydraulik MEGA prop; (4) Advanced Mining Technology Inc. (AMTI) BTS Mortar prop; (5) Dywidag Coal Post; (6) Western Support Systems YIPPI support; and (7) ``The Can`` support by Burrell Mining Products. A comparison of the performance and cost of these support systems to wood cribs is made to provide mine operators with information needed to underground installations are discussed. Included in this assessment are full scale tests of these supports conducted in the US Bureau of Mines` Mine Roof Stimulator.

  6. Isolation of levoglucosan from lignocellulosic pyrolysis oil derived from wood or waste newsprint

    DOE Patents [OSTI]

    Moens, L.

    1995-07-11

    A method is provided for preparing high purity levoglucosan from lignocellulosic pyrolysis oils derived from wood or waste newsprint. The method includes reducing wood or newsprint to fine particle sizes, treating the particles with a hot mineral acid for a predetermined period of time, and filtering off and drying resulting solid wood or newsprint material; pyrolyzing the dried solid wood or newsprint material at temperatures between about 350 and 375 C to produce pyrolysis oils; treating the oils to liquid-liquid extraction with methyl isobutyl ketone to remove heavy tar materials from the oils, and to provide an aqueous fraction mixture of the oils containing primarily levoglucosan; treating the aqueous fraction mixtures with a basic metal salt in an amount sufficient to elevate pH values to a range of about 12 to about 12.5 and adding an amount of the salt in excess of the amount needed to obtain the pH range to remove colored materials of impurities from the oil and form a slurry, and freeze-drying the resulting slurry to produce a dry solid residue; and extracting the levoglucosan from the residue using ethyl acetate solvent to produce a purified crystalline levoglucosan. 2 figs.

  7. Isolation of levoglucosan from lignocellulosic pyrolysis oil derived from wood or waste newsprint

    DOE Patents [OSTI]

    Moens, Luc

    1995-01-01

    A method is provided for preparing high purity levoglucosan from lignocellulosic pyrolysis oils derived from wood or waste newsprint. The method includes reducing wood or newsprint to fine particle sizes, treating the particles with a hot mineral acid for a predetermined period of time, and filtering off and drying resulting solid wood or newsprint material; pyrolyzing the dried solid wood or newsprint material at temperatures between about 350.degree. and 375.degree. C. to produce pyrolysis oils; treating the oils to liquid-liquid extraction with methyl isobutyl ketone to remove heavy tar materials from the oils, and to provide an aqueous fraction mixture of the oils containing primarily levoglucosan; treating the aqueous fraction mixtures with a basic metal salt in an amount sufficient to elevate pH values to a range of about 12 to about 12.5 and adding an amount of the salt in excess of the amount needed to obtain the pH range to remove colored materials of impurities from the oil and form a slurry, and freeze-drying the resulting slurry to produce a dry solid residue; and extracting the levoglucosan from the residue using ethyl acetate solvent to produce a purified crystalline levoglucosan.

  8. Property:Building/SPPurchasedEngyPerAreaKwhM2WoodChips | Open...

    Open Energy Info (EERE)

    PerAreaKwhM2WoodChips" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0...

  9. Property:Building/SPPurchasedEngyNrmlYrMwhYrWoodChips | Open...

    Open Energy Info (EERE)

    yNrmlYrMwhYrWoodChips" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0...

  10. Property:Building/SPPurchasedEngyForPeriodMwhYrWoodChips | Open...

    Open Energy Info (EERE)

    rPeriodMwhYrWoodChips" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0...

  11. Minnesota wood energy scale-up project 1994 establishment cost data

    SciTech Connect (OSTI)

    Downing, M.; Pierce, R.; Kroll, T.

    1996-03-18

    The Minnesota Wood Energy Scale-up Project began in late 1993 with the first trees planted in the spring of 1994. The purpose of the project is to track and monitor economic costs of planting, maintaining and monitoring larger scale commercial plantings. For 15 years, smaller scale research plantings of hybrid poplar have been used to screen for promising, high-yielding poplar clones. In this project 1000 acres of hybrid poplar trees were planted on Conservation Reserve Program (CRP) land near Alexandria, Minnesota in 1994. The fourteen landowners involved re-contracted with the CRP for five-year extensions of their existing 10-year contracts. These extended contracts will expire in 2001, when the plantings are 7 years old. The end use for the trees planted in the Minnesota Wood Energy Scale-up Project is undetermined. They will belong to the owner of the land on which they are planted. There are no current contracts in place for the wood these trees are projected to supply. The structure of the wood industry in the Minnesota has changed drastically over the past 5 years. Stumpage values for fiber have risen to more than $20 per cord in some areas raising the possibility that these trees could be used for fiber rather than energy. Several legislative mandates have forced the State of Minnesota to pursue renewable energy including biomass energy. These mandates, a potential need for an additional 1700 MW of power by 2008 by Northern States Power, and agricultural policies will all affect development of energy markets for wood produced much like agricultural crops. There has been a tremendous amount of local and international interest in the project. Contractual negotiations between area landowners, the CRP, a local Resource Conservation and Development District, the Minnesota Department of Natural Resources and others are currently underway for additional planting of 1000 acres in spring 1995.

  12. MECS 2006 - All Manufacturing | Department of Energy

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

    All Manufacturing MECS 2006 - All Manufacturing Manufacturing Energy and Carbon Footprint - Sector: All Manufacturing (NAICS 31-33) with Total Energy Input, October 2012 (MECS 2006) All available footprints and supporting documents Manufacturing Energy and Carbon Footprint PDF icon All Manufacturing (NAICS 31-33) More Documents & Publications All Manufacturing (2010 MECS) MECS 2006 - Alumina and Aluminum MECS 2006 - Cement

  13. Ferns and fires: Experimental charring of ferns compared to wood and implications for paleobiology, paleoecology, coal petrology, and isotope geochemistry

    SciTech Connect (OSTI)

    McParland, L.C.; Collinson, M.E.; Scott, A.C.; Steart, D.C.; Grassineau, N.V.; Gibbons, S.J.

    2007-09-15

    We report the effects of charring on the ferns Osmunda, Pteridium, and Matteucia with coniferous wood (Sequoia) for comparison. Like charred wood, charred ferns shrink, become black and brittle with a silky sheen, and retain three-dimensional cellular structure. Ferns yield recognizable charcoal (up to 800{sup o}C) that could potentially survive in the fossil record enabling reconstruction of ancient fire-prone vegetation containing ferns. Charred fossils of herbaceous ferns would indicate surface fires. Like charred wood, cell-wall layers of charred ferns homogenize, and their reflectance values increase with rising temperature. Charcoalified fragments of thick-walled cells from conifer wood or fern tissues are indistinguishable and so cannot be used to infer the nature of source vegetation. Charred conifer wood and charred fern tissues show a relationship between mean random reflectance and temperature of formation and can be used to determine minimum ancient fire temperatures. Charred fern tissues consistently have significantly more depleted {delta}{sup 13}C values ({le} 4 parts per thousand) than charred wood. Therefore, if an analysis of {delta} {sup 13}C through time included fern charcoal among a succession of wood charcoals, any related shifts in {delta} {sup 13}C could be misinterpreted as atmospheric changes or misused as isotope stratigraphic markers. Thus, charcoals of comparable botanical origin and temperatures of formation should be used in order to avoid misinterpretations of shifts in {delta}{sup 13}C values.

  14. Use of a region of the visible and near infrared spectrum to predict mechanical properties of wet wood and standing trees

    DOE Patents [OSTI]

    Meglen, Robert R.; Kelley, Stephen S.

    2003-01-01

    In a method for determining the dry mechanical strength for a green wood, the improvement comprising: (a) illuminating a surface of the wood to be determined with a reduced range of wavelengths in the VIS-NIR spectra 400 to 1150 nm, said wood having a green moisture content; (b) analyzing the surface of the wood using a spectrometric method, the method generating a first spectral data of a reduced range of wavelengths in VIS-NIR spectra; and (c) using a multivariate analysis technique to predict the mechanical strength of green wood when dry by comparing the first spectral data with a calibration model, the calibration model comprising a second spectrometric method of spectral data of a reduced range of wavelengths in VIS-NIR spectra obtained from a reference wood having a green moisture content, the second spectral being correlated with a known mechanical strength analytical result obtained from the reference wood when dried and a having a dry moisture content.

  15. Cell Total Activity Final Estimate.xls

    Office of Legacy Management (LM)

    WSSRAP Cell Total Activity Final Estimate (calculated September 2002, Fleming) (Waste streams & occupied cell volumes from spreadsheet titled "cell waste volumes-8.23.02 with ...

  16. Million Cu. Feet Percent of National Total

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

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

  17. Million Cu. Feet Percent of National Total

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

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

  18. Million Cu. Feet Percent of National Total

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

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

  19. Million Cu. Feet Percent of National Total

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

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

  20. Million Cu. Feet Percent of National Total

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

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