National Library of Energy BETA

Sample records for b5 census region

  1. " Electricity Generation by Census Region...

    Energy Information Administration (EIA) (indexed site)

    A6. Total Inputs of Selected Byproduct Energy for Heat, Power, and" " Electricity Generation by Census Region, Census Division, Industry Group, and" " Selected Industries, 1994" " ...

  2. Table C12. Electricity Expenditures by Census Region, 1999

    Energy Information Administration (EIA) (indexed site)

    Electricity Expenditures by Census Region, 1999" ,"Total Electricity Expenditures (million dollars)",,,,"Electricity Expenditures (dollars)" ,,,,,"per kWh",,,,"per Square Foot"...

  3. Table A26. Components of Total Electricity Demand by Census Region, Census Di

    Energy Information Administration (EIA) (indexed site)

    Components of Total Electricity Demand by Census Region, Census Division, and" " Economic Characteristics of the Establishment, 1994" " (Estimates in Million Kilowatthours)" " "," "," "," ","Sales/"," ","RSE" " "," ","Transfers","Onsite","Transfers"," ","Row" "Economic

  4. " by Census Region, Census Division, Industry Group, Selected Industries, and"

    Energy Information Administration (EIA) (indexed site)

    Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Census Division, Industry Group, Selected Industries, and" " Presence of Cogeneration Technologies, 1994: Part 1" " (Estimates in Trillion Btu)",," ",,,,,,," "," "," " ,,,"Steam Turbines",,,,"Steam Turbines" ,," ","Supplied by Either","Conventional",,,"Supplied by","One

  5. " Census Region, Census Division, Industry Group, and Selected Industries, 1994"

    Energy Information Administration (EIA) (indexed site)

    Quantity of Purchased Electricity and Steam by Type of Supplier," " Census Region, Census Division, Industry Group, and Selected Industries, 1994" " (Estimates in Btu or Physical Units)" ,," Electricity",," Steam" ,," (million kWh)",," (billion Btu)" ,,,,,,"RSE" "SIC",,"Utility","Nonutility","Utility","Nonutility","Row" "Code(a)","Industry Group

  6. " by Type of Supplier, Census Region, Census Division, Industry Group,"

    Energy Information Administration (EIA) (indexed site)

    3. Average Prices of Purchased Electricity and Steam" " by Type of Supplier, Census Region, Census Division, Industry Group," " and Selected Industries, 1994" " (Estimates in Dollars per Physical Units)" ,," Electricity",," Steam" ,," (kWh)",," (million Btu)" ,,,,,,"RSE" "SIC",,"Utility","Nonutility","Utility","Nonutility","Row"

  7. " of Supplier, Census Region, Census Division, and Economic Characteristics"

    Energy Information Administration (EIA) (indexed site)

    Quantity of Purchased Electricity and Steam by Type" " of Supplier, Census Region, Census Division, and Economic Characteristics" " of the Establishment, 1994" " (Estimates in Btu or Physical Units)" ," Electricity",," Steam" ," (million kWh)",," (billion Btu)" ,,,,,"RSE" " ","Utility","Nonutility","Utility","Nonutility","Row" "Economic

  8. Hanford Site Regional Population - 2010 Census

    SciTech Connect

    Hamilton, Erin L.; Snyder, Sandra F.

    2011-08-12

    The U.S. Department of Energy conducts radiological operations in south-central Washington State. Population dose estimates must be performed to provide a measure of the impact from site radiological releases. Results of the U.S. 2010 Census were used to determine counts and distributions for the residential population located within 50-miles of several operating areas of the Hanford Site. Year 2010 was the first census year that a 50-mile population of a Hanford Site operational area exceeded the half-million mark.

  9. " by Census Region, Census Division, Industry Group, Selected Industries, and"

    Energy Information Administration (EIA) (indexed site)

    Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Census Division, Industry Group, Selected Industries, and" " Presence of General Technologies, 1994: Part 1" " (Estimates in Trillion Btu)" ,,,,"Computer Control" ,," "," ","of Processes"," "," ",," "," "," "," " ,," ","Computer Control","or

  10. " and Electricity Generation by Census Region, Census Division, Industry Group,"

    Energy Information Administration (EIA) (indexed site)

    3. Total Inputs of Selected Wood and Wood-Related Products for Heat, Power," " and Electricity Generation by Census Region, Census Division, Industry Group," " and Selected Industries, 1994" " (Estimates in Billion Btu)" ,,,,"Selected Wood and Wood-Related Products" ,,,,,"Biomass" " "," ",," "," "," ","Wood Residues","Wood-Related"," " " ","

  11. Figure 1. Census Regions and Divisions

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    US Federal Regions> Region 1 Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont Region 2 New Jersey, New York Region 3 ...

  12. "Table A33. Total Quantity of Purchased Energy Sources by Census Region, Census Division,"

    Energy Information Administration (EIA) (indexed site)

    Quantity of Purchased Energy Sources by Census Region, Census Division," " and Economic Characteristics of the Establishment, 1994" " (Estimates in Btu or Physical Units)" ,,,,,"Natural",,,"Coke" " ","Total","Electricity","Residual","Distillate","Gas(c)"," ","Coal","and Breeze","Other(d)","RSE" "

  13. Table 2: U.S. Geographic Areas and Census Regions | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    2: U.S. Geographic Areas and Census Regions Table 2: U.S. Geographic Areas and Census Regions Table 2: U.S. Geographic Areas and Census Regions (10.42 KB) More Documents & Publications Memorandum Summarizing Ex Parte Communication An Assessment of Heating Fuels And Electricity Markets During the Winters of 2013-2014 and 2014-2015 Before the House Subcommittee on Energy and Power - Committee on Energy and Commerce

  14. "Table A25. Components of Total Electricity Demand by Census Region, Census Division, Industry"

    Energy Information Administration (EIA) (indexed site)

    Components of Total Electricity Demand by Census Region, Census Division, Industry" " Group, and Selected Industries, 1994" " (Estimates in Million Kilowatthours)" " "," "," "," "," "," "," "," " " "," "," "," "," ","Sales and/or"," ","RSE" "SIC"," ","

  15. "Table HC11.1 Housing Unit Characteristics by Northeast Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    Housing Unit Characteristics by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units" ,,,"Census Division" ,,"Total Northeast" "Housing Unit Characteristics",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Urban/Rural Location (as Self-Reported)" "City",47.1,6.9,4.7,2.2 "Town",19,6,4.2,1.9

  16. "Table HC11.11 Home Electronics Characteristics by Northeast Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    1 Home Electronics Characteristics by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Home Electronics Characteristics",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Personal Computers" "Do Not Use a Personal Computer ",35.5,6.9,5.3,1.6 "Use a

  17. "Table HC11.13 Lighting Usage Indicators by Northeast Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    3 Lighting Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Lighting Usage Indicators",,,"Middle Atlantic","New England" "Total U.S. Housing Units",111.1,20.6,15.1,5.5 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between

  18. "Table HC11.2 Living Space Characteristics by Northeast Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    2 Living Space Characteristics by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Living Space Characteristics",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Floorspace (Square Feet)" "Total Floorspace1" "Fewer than 500",3.2,0.9,0.5,0.4

  19. "Table HC11.4 Space Heating Characteristics by Northeast Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    4 Space Heating Characteristics by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Space Heating Characteristics",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Do Not Have Space Heating Equipment",1.2,"Q","Q","Q" "Have Main

  20. "Table HC11.6 Air Conditioning Characteristics by Northeast Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    6 Air Conditioning Characteristics by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Air Conditioning Characteristics",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Do Not Have Cooling Equipment",17.8,4,2.4,1.7 "Have Coolling

  1. "Table HC11.8 Water Heating Characteristics by Northeast Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    8 Water Heating Characteristics by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Water Heating Characteristics",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Number of Water Heaters" "1.",106.3,19.6,14.4,5.2 "2 or

  2. "Table HC11.9 Home Appliances Characteristics by Northeast Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    1.9 Home Appliances Characteristics by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Home Appliances Characteristics",,,"Middle Atlantic","New England" "Total U.S.",111.1,20.6,15.1,5.5 "Cooking Appliances" "Conventional Ovens" "Use an

  3. "Table HC12.1 Housing Unit Characteristics by Midwest Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    Housing Unit Characteristics by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Housing Unit Characteristics",,,"East North Central","West North Central" "Total",111.1,25.6,17.7,7.9 "Urban/Rural Location (as Self-Reported)" "City",47.1,9.7,7.3,2.4

  4. "Table HC12.11 Home Electronics Characteristics by Midwest Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    1 Home Electronics Characteristics by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Home Electronics Characteristics",,,"East North Central","West North Central" "Total",111.1,25.6,17.7,7.9 "Personal Computers" "Do Not Use a Personal Computer ",35.5,8.1,5.6,2.5 "Use a

  5. "Table HC12.13 Lighting Usage Indicators by Midwest Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    3 Lighting Usage Indicators by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Lighting Usage Indicators",,,"East North Central","West North Central" "Total U.S. Housing Units",111.1,25.6,17.7,7.9 "Indoor Lights Turned On During Summer" "Number of Lights Turned On"

  6. "Table HC12.2 Living Space Characteristics by Midwest Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    2 Living Space Characteristics by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Living Space Characteristics",,,"East North Central","West North Central" "Total",111.1,25.6,17.7,7.9 "Floorspace (Square Feet)" "Total Floorspace1" "Fewer than

  7. "Table HC12.4 Space Heating Characteristics by Midwest Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    4 Space Heating Characteristics by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Space Heating Characteristics",,,"East North Central","West North Central" "Total",111.1,25.6,17.7,7.9 "Do Not Have Space Heating Equipment",1.2,"Q","Q","N" "Have Main

  8. "Table HC12.6 Air Conditioning Characteristics by Midwest Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    6 Air Conditioning Characteristics by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Air Conditioning Characteristics",,,"East North Central","West North Central" "Total",111.1,25.6,17.7,7.9 "Do Not Have Cooling Equipment",17.8,2.1,1.8,0.3 "Have Cooling

  9. "Table HC12.9 Home Appliances Characteristics by Midwest Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    2.9 Home Appliances Characteristics by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Home Appliances Characteristics",,,"East North Central","West North Central" "Total U.S.",111.1,25.6,17.7,7.9 "Cooking Appliances" "Conventional Ovens" "Use an

  10. "Table HC13.1 Housing Unit Characteristics by South Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    Housing Unit Characteristics by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Housing Unit Characteristics",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Urban/Rural Location (as Self-Reported)"

  11. "Table HC13.11 Home Electronics Characteristics by South Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    1 Home Electronics Characteristics by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Home Electronics Characteristics",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Personal Computers" "Do Not Use a Personal Computer

  12. "Table HC13.13 Lighting Usage Indicators by South Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    3 Lighting Usage Indicators by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Lighting Usage Indicators",,,"South Atlantic","East South Central","West South Central" "Total U.S. Housing Units",111.1,40.7,21.7,6.9,12.1 "Indoor Lights Turned On During Summer" "Number of Lights

  13. "Table HC13.2 Living Space Characteristics by South Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    2 Living Space Characteristics by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Living Space Characteristics",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Floorspace (Square Feet)" "Total Floorspace1" "Fewer than

  14. "Table HC13.4 Space Heating Characteristics by South Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    4 Space Heating Characteristics by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Space Heating Characteristics",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Do Not Have Space Heating

  15. "Table HC13.6 Air Conditioning Characteristics by South Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    6 Air Conditioning Characteristics by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Air Conditioning Characteristics",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Do Not Have Cooling Equipment",17.8,1.4,0.8,0.2,0.3 "Have

  16. "Table HC13.8 Water Heating Characteristics by South Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    8 Water Heating Characteristics by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Water Heating Characteristics",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Number of Water Heaters" "1.",106.3,39,21.1,6.6,11.3 "2

  17. "Table HC13.9 Home Appliances Characteristics by South Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    3.9 Home Appliances Characteristics by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Home Appliances Characteristics",,,"South Atlantic","East South Central","West South Central" "Total U.S.",111.1,40.7,21.7,6.9,12.1 "Cooking Appliances" "Conventional Ovens" "Use

  18. "Table HC14.1 Housing Unit Characteristics by West Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    Housing Unit Characteristics by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Housing Unit Characteristics",,,"Mountain","Pacific" "Total",111.1,24.2,7.6,16.6 "Urban/Rural Location (as Self-Reported)" "City",47.1,12.8,3.2,9.6 "Town",19,3,1.1,1.9

  19. "Table HC14.11 Home Electronics Characteristics by West Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    1 Home Electronics Characteristics by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Home Electronics Characteristics",,,"Mountain","Pacific" "Total",111.1,24.2,7.6,16.6 "Personal Computers" "Do Not Use a Personal Computer ",35.5,6.4,2.2,4.2 "Use a Personal

  20. "Table HC14.13 Lighting Usage Indicators by West Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    3 Lighting Usage Indicators by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Lighting Usage Indicators",,,"Mountain","Pacific" "Total U.S. Housing Units",111.1,24.2,7.6,16.6 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per

  1. "Table HC14.2 Living Space Characteristics by West Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    2 Living Space Characteristics by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Living Space Characteristics",,,"Mountain","Pacific" "Total",111.1,24.2,7.6,16.6 "Floorspace (Square Feet)" "Total Floorspace1" "Fewer than 500",3.2,1,0.2,0.8 "500 to

  2. "Table HC14.4 Space Heating Characteristics by West Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    4 Space Heating Characteristics by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Space Heating Characteristics",,,"Mountain","Pacific" "Total",111.1,24.2,7.6,16.6 "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

  3. "Table HC14.6 Air Conditioning Characteristics by West Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    6 Air Conditioning Characteristics by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Air Conditioning Characteristics",,,"Mountain","Pacific" "Total",111.1,24.2,7.6,16.6 "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

  4. "Table HC14.8 Water Heating Characteristics by West Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    8 Water Heating Characteristics by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Water Heating Characteristics",,,"Mountain","Pacific" "Total",111.1,24.2,7.6,16.6 "Number of Water Heaters" "1.",106.3,23.2,7.1,16.1 "2 or More",3.7,1,0.4,0.6 "Do Not Use Hot

  5. "Table HC14.9 Home Appliances Characteristics by West Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    4.9 Home Appliances Characteristics by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Home Appliances Characteristics",,,"Mountain","Pacific" "Total U.S.",111.1,24.2,7.6,16.6 "Cooking Appliances" "Conventional Ovens" "Use an Oven",109.6,23.7,7.5,16.2

  6. Table 2.4 Household Energy Consumption by Census Region, Selected...

    Energy Information Administration (EIA) (indexed site)

    ... NANot available. 2See Appendix C for map of Census regions. Notes: * Data are estimates, and are for major energy sources only. * For years not shown, there are no data available. ...

  7. Table A28. Components of Onsite Electricity Generation by Census Region, Cens

    Energy Information Administration (EIA) (indexed site)

    Components of Onsite Electricity Generation by Census Region, Census Division, and" " Economic Characteristics of the Establishment, 1994" " (Estimates in Million Kilowatthours)" ,,,"Renewables" ,,,"(excluding Wood",,"RSE" " "," "," ","and"," ","Row" "Economic Characteristics(a)","Total","Cogeneration(b)","Other

  8. "Table A32. Total Quantity of Purchased Energy Sources by Census Region,"

    Energy Information Administration (EIA) (indexed site)

    Quantity of Purchased Energy Sources by Census Region," " Census Division, Industry Group, and Selected Industries, 1994" " (Estimates in Btu or Physical Units)" ,,,,,,"Natural",,,"Coke" " "," ","Total","Electricity","Residual","Distillate","Gas(c)"," ","Coal","and Breeze"," ","RSE" "SIC","

  9. "Table A36. Total Expenditures for Purchased Energy Sources by Census Region,"

    Energy Information Administration (EIA) (indexed site)

    6. Total Expenditures for Purchased Energy Sources by Census Region," " Census Division, Industry Group, and Selected Industries, 1994" " (Estimates in Million Dollars)" ,,,,,,,,,,,"RSE" "SIC"," "," "," ","Residual","Distillate ","Natural"," "," ","Coke"," ","Row" "Code(a)","Industry Group and

  10. "Table A37. Total Expenditures for Purchased Energy Sources by Census Region,"

    Energy Information Administration (EIA) (indexed site)

    7. Total Expenditures for Purchased Energy Sources by Census Region," " Census Division, and Economic Characteristics of the Establishment, 1994" " (Estimates in Million Dollars)" " "," "," "," ",," "," "," "," "," ","RSE" " "," "," ","Residual","Distillate","Natural"," ","

  11. "Table HC12.8 Water Heating Characteristics by Midwest Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    8 Water Heating Characteristics by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Water Heating Characteristics",,,"East North Central","West North Central" "Total",111.1,25.6,17.7,7.9 "Number of Water Heaters" "1.",106.3,24.5,17.1,7.4 "2 or More",3.7,0.9,0.5,0.4

  12. "Table A27. Components of Onsite Electricity Generation by Census Region,"

    Energy Information Administration (EIA) (indexed site)

    Components of Onsite Electricity Generation by Census Region," " Census Division, Industry Group, and Selected Industries, 1994" " (Estimates in Million Kilowatthours)" ," "," "," "," " " "," "," "," ",," ","RSE" "SIC"," "," "," ",," ","Row" "Code(a)","Industry Group and

  13. "Table A22. Total Quantity of Purchased Energy Sources by Census Region,"

    Energy Information Administration (EIA) (indexed site)

    2. Total Quantity of Purchased Energy Sources by Census Region," " Industry Group, and Selected Industries, 1991" " (Estimates in Btu or Physical Units)" ,,,,,,"Natural",,,"Coke" " "," ","Total","Electricity","Residual","Distillate","Gas(c)"," ","Coal","and Breeze"," ","RSE" "SIC","

  14. "Table A24. Total Expenditures for Purchased Energy Sources by Census Region,"

    Energy Information Administration (EIA) (indexed site)

    4. Total Expenditures for Purchased Energy Sources by Census Region," " Industry Group, and Selected Industries, 1991" " (Estimates in Million Dollars)" ,,,,,,,,,,,"RSE" "SIC"," "," "," ","Residual","Distillate ","Natural"," "," ","Coke"," ","Row" "Code(a)","Industry Groupsc and

  15. Table HC11.1 Housing Unit Characteristics by Northeast Census Region, 2005

    Energy Information Administration (EIA) (indexed site)

    1.1 Housing Unit Characteristics by Northeast Census Region, 2005 Total......................................................................... 111.1 20.6 15.1 5.5 Urban/Rural Location (as Self-Reported) City....................................................................... 47.1 6.9 4.7 2.2 Town..................................................................... 19.0 6.0 4.2 1.9 Suburbs................................................................ 22.7 4.4 4.0 0.5

  16. "Table HC10.1 Housing Unit Characteristics by U.S. Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    0.1 Housing Unit Characteristics by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Housing Unit Characteristics",,"Northeast","Midwest","South","West" "Total",111.1,20.6,25.6,40.7,24.2 "Census Region and Division" "Northeast",20.6,20.6,"N","N","N" "New

  17. "Table HC11.10 Home Appliances Usage Indicators by Northeast Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    0 Home Appliances Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ," U.S. Housing Units (millions) " ,,,"Census Division" ,,"Total Northeast" "Home Appliances Usage Indicators",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A

  18. "Table HC11.12 Home Electronics Usage Indicators by Northeast Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    2 Home Electronics Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Home Electronics Usage Indicators",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Personal Computers" "Do Not Use a Personal Computer",35.5,6.9,5.3,1.6 "Use a

  19. "Table HC11.5 Space Heating Usage Indicators by Northeast Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    5 Space Heating Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Space Heating Usage Indicators",,,"Middle Atlantic","New England" "Total U.S. Housing Units",111.1,20.6,15.1,5.5 "Do Not Have Heating Equipment",1.2,"Q","Q","Q"

  20. "Table HC11.7 Air-Conditioning Usage Indicators by Northeast Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    7 Air-Conditioning Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Air Conditioning Usage Indicators",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Do Not Have Cooling Equipment",17.8,4,2.4,1.7 "Have Cooling

  1. "Table HC12.10 Home Appliances Usage Indicators by Midwest Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    0 Home Appliances Usage Indicators by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Home Appliances Usage Indicators",,,"East North Central","West North Central" "Total",111.1,25.6,17.7,7.9 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A

  2. "Table HC12.12 Home Electronics Usage Indicators by Midwest Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    2 Home Electronics Usage Indicators by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Home Electronics Usage Indicators",,,"East North Central","West North Central" "Total",111.1,25.6,17.7,7.9 "Personal Computers" "Do Not Use a Personal Computer",35.5,8.1,5.6,2.5 "Use

  3. "Table HC12.5 Space Heating Usage Indicators by Midwest Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    5 Space Heating Usage Indicators by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Space Heating Usage Indicators",,,"East North Central","West North Central" "Total U.S. Housing Units",111.1,25.6,17.7,7.9 "Do Not Have Heating Equipment",1.2,"Q","Q","N"

  4. "Table HC12.7 Air-Conditioning Usage Indicators by Midwest Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    7 Air-Conditioning Usage Indicators by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Air Conditioning Usage Indicators",,,"East North Central","West North Central" "Total",111.1,25.6,17.7,7.9 "Do Not Have Cooling Equipment",17.8,2.1,1.8,0.3 "Have Cooling

  5. "Table HC13.10 Home Appliances Usage Indicators by South Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    0 Home Appliances Usage Indicators by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Home Appliances Usage Indicators",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Cooking Appliances" "Frequency of Hot Meals Cooked"

  6. "Table HC13.12 Home Electronics Usage Indicators by South Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    2 Home Electronics Usage Indicators by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Home Electronics Usage Indicators",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Personal Computers" "Do Not Use a Personal

  7. "Table HC13.5 Space Heating Usage Indicators by South Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    5 Space Heating Usage Indicators by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Space Heating Usage Indicators",,,"South Atlantic","East South Central","West South Central" "Total U.S. Housing Units",111.1,40.7,21.7,6.9,12.1 "Do Not Have Heating

  8. "Table HC13.7 Air-Conditioning Usage Indicators by South Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    7 Air-Conditioning Usage Indicators by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Air Conditioning Usage Indicators",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Do Not Have Cooling Equipment",17.8,1.4,0.8,0.2,0.3 "Have

  9. "Table HC14.10 Home Appliances Usage Indicators by West Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    0 Home Appliances Usage Indicators by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Home Appliances Usage Indicators",,,"Mountain","Pacific" "Total",111.1,24.2,7.6,16.6 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,2.6,0.7,1.9 "2

  10. "Table HC14.12 Home Electronics Usage Indicators by West Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    2 Home Electronics Usage Indicators by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Home Electronics Usage Indicators",,,"Mountain","Pacific" "Total",111.1,24.2,7.6,16.6 "Personal Computers" "Do Not Use a Personal Computer",35.5,6.4,2.2,4.2 "Use a Personal

  11. "Table HC14.5 Space Heating Usage Indicators by West Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    5 Space Heating Usage Indicators by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Space Heating Usage Indicators",,,"Mountain","Pacific" "Total U.S. Housing Units",111.1,24.2,7.6,16.6 "Do Not Have Heating Equipment",1.2,0.7,"Q",0.7 "Have Space Heating

  12. "Table A16. Components of Total Electricity Demand by Census Region, Industry"

    Energy Information Administration (EIA) (indexed site)

    6. Components of Total Electricity Demand by Census Region, Industry" " Group, and Selected Industries, 1991" " (Estimates in Million Kilowatthours)" " "," "," "," "," "," "," "," " " "," "," "," "," ","Sales and/or"," ","RSE" "SIC"," "," ","Transfers","Total

  13. "Table A17. Components of Onsite Electricity Generation by Census Region,"

    Energy Information Administration (EIA) (indexed site)

    7. Components of Onsite Electricity Generation by Census Region," " Industry Group, and Selected Industries, 1991" " (Estimates in Million Kilowatthours)" " "," "," "," "," "," "," "," " " "," "," "," "," "," ","RSE" "SIC"," "," "," "," "," ","Row"

  14. "Table HC10.10 Home Appliances Usage Indicators by U.S. Census Regions, 2005"

    Energy Information Administration (EIA) (indexed site)

    0 Home Appliances Usage Indicators by U.S. Census Regions, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Home Appliances Usage Indicators",,"Northeast","Midwest","South","West" "Total",111.1,20.6,25.6,40.7,24.2 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,1.2,1.4,3,2.6 "2 Times A

  15. "Table HC10.11 Home Electronics Characteristics by U.S. Census Regions, 2005"

    Energy Information Administration (EIA) (indexed site)

    1 Home Electronics Characteristics by U.S. Census Regions, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Home Electronics Characteristics",,"Northeast","Midwest","South","West" "Total",111.1,20.6,25.6,40.7,24.2 "Personal Computers" "Do Not Use a Personal Computer ",35.5,6.9,8.1,14.2,6.4 "Use a Personal

  16. "Table HC10.12 Home Electronics Usage Indicators by U.S. Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    2 Home Electronics Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Home Electronics Usage Indicators",,"Northeast","Midwest","South","West" "Total",111.1,20.6,25.6,40.7,24.2 "Personal Computers" "Do Not Use a Personal Computer",35.5,6.9,8.1,14.2,6.4 "Use a Personal

  17. "Table HC10.13 Lighting Usage Indicators by U.S. Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    3 Lighting Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Lighting Usage Indicators",,"Northeast","Midwest","South","West" "Total U.S. Housing Units",111.1,20.6,25.6,40.7,24.2 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per

  18. "Table HC10.2 Living Space Characteristics by U.S. Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    2 Living Space Characteristics by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Living Space Characteristics",,"Northeast","Midwest","South","West" "Total",111.1,20.6,25.6,40.7,24.2 "Floorspace (Square Feet)" "Total Floorspace1" "Fewer than 500",3.2,0.9,0.5,0.9,1 "500 to 999",23.8,4.6,3.9,9,6.3

  19. "Table HC10.4 Space Heating Characteristics by U.S. Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    4 Space Heating Characteristics by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Space Heating Characteristics",,"Northeast","Midwest","South","West" "Total",111.1,20.6,25.6,40.7,24.2 "Do Not Have Space Heating Equipment",1.2,"Q","Q","Q",0.7 "Have Main Space Heating

  20. "Table HC10.5 Space Heating Usage Indicators by U.S. Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    5 Space Heating Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Space Heating Usage Indicators",,"Northeast","Midwest","South","West" "Total U.S. Housing Units",111.1,20.6,25.6,40.7,24.2 "Do Not Have Heating Equipment",1.2,"Q","Q","Q",0.7 "Have Space Heating

  1. "Table HC10.6 Air Conditioning Characteristics by U.S. Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    6 Air Conditioning Characteristics by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Air Conditioning Characteristics",,"Northeast","Midwest","South","West" "Total",111.1,20.6,25.6,40.7,24.2 "Do Not Have Cooling Equipment",17.8,4,2.1,1.4,10.3 "Have Cooling Equipment",93.3,16.5,23.5,39.3,13.9 "Use Cooling

  2. "Table HC10.7 Air-Conditioning Usage Indicators by U.S. Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    7 Air-Conditioning Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Air Conditioning Usage Indicators",,"Northeast","Midwest","South","West" "Total",111.1,20.6,25.6,40.7,24.2 "Do Not Have Cooling Equipment",17.8,4,2.1,1.4,10.3 "Have Cooling Equipment",93.3,16.5,23.5,39.3,13.9 "Use Cooling

  3. "Table HC10.8 Water Heating Characteristics by U.S. Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    8 Water Heating Characteristics by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Water Heating Characteristics",,"Northeast","Midwest","South","West" "Total",111.1,20.6,25.6,40.7,24.2 "Number of Water Heaters" "1.",106.3,19.6,24.5,39,23.2 "2 or More",3.7,0.3,0.9,1.5,1 "Do Not Use Hot

  4. "Table HC10.9 Home Appliances Characteristics by U.S. Census Regions, 2005"

    Energy Information Administration (EIA) (indexed site)

    0.9 Home Appliances Characteristics by U.S. Census Regions, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Home Appliances Characteristics",,"Northeast","Midwest","South","West" "Total U.S.",111.1,20.6,25.6,40.7,24.2 "Cooking Appliances" "Conventional Ovens" "Use an Oven",109.6,20.3,25.3,40.2,23.7

  5. "Table HC14.7 Air-Conditioning Usage Indicators by West Census Region, 2005"

    Energy Information Administration (EIA) (indexed site)

    7 Air-Conditioning Usage Indicators by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Air Conditioning Usage Indicators",,,"Mountain","Pacific" "Total",111.1,24.2,7.6,16.6 "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

  6. 1999 Commercial Building Characteristics--Detailed Tables--Census...

    Energy Information Administration (EIA) (indexed site)

    Census Region > Detailed Tables-Census Region Complete Set of 1999 CBECS Detailed Tables Detailed Tables-Census Region Table B3. Census Region, Number of Buildings and Floorspace...

  7. Estimating household fuel oil/kerosine, natural gas, and LPG prices by census region

    SciTech Connect

    Poyer, D.A.; Teotia, A.P.S.

    1994-08-01

    The purpose of this research is to estimate individual fuel prices within the residential sector. The data from four US Department of Energy, Energy Information Administration, residential energy consumption surveys were used to estimate the models. For a number of important fuel types - fuel oil, natural gas, and liquefied petroleum gas - the estimation presents a problem because these fuels are not used by all households. Estimates obtained by using only data in which observed fuel prices are present would be biased. A correction for this self-selection bias is needed for estimating prices of these fuels. A literature search identified no past studies on application of the selectivity model for estimating prices of residential fuel oil/kerosine, natural gas, and liquefied petroleum gas. This report describes selectivity models that utilize the Dubin/McFadden correction method for estimating prices of residential fuel oil/kerosine, natural gas, and liquefied petroleum gas in the Northeast, Midwest, South, and West census regions. Statistically significant explanatory variables are identified and discussed in each of the models. This new application of the selectivity model should be of interest to energy policy makers, researchers, and academicians.

  8. " by Census Region, Census Division...

    Energy Information Administration (EIA) (indexed site)

    ... W ",15,129," W ",0," W ",15,1," W "," W ",117,0," W ",19.6 ," Gasification of Biomass Feedstocks"," * ",0,0," * ",0,0,0,0,0,0," * ",0,0,0,20.7 ," Fast Pyrolysis of ...

  9. "Table A3. Total Primary Consumption of Combustible Energy for Nonfuel Purposes by Census Region,"

    Energy Information Administration (EIA) (indexed site)

    Nonfuel Purposes by Census Region," " Industry Group, and Selected Industries, 1991: Part 1 " " (Estimates in Btu or Physical Units)" " "," "," "," "," "," "," "," ","Coke"," "," " " "," "," ","Residual","Distillate","Natural Gas(c)"," ","Coal","and Breeze","

  10. A spectroscopic census in young stellar regions: the σ Orionis cluster

    SciTech Connect

    Hernández, Jesús; Perez, Alice; Hernan, Ramírez; Calvet, Nuria; Hartmann, Lee; Briceño, Cesar; Olguin, Lorenzo; Contreras, Maria E.; Allen, Lori; Espaillat, Catherine

    2014-10-10

    We present a spectroscopic survey of the stellar population of the σ Orionis cluster. We have obtained spectral types for 340 stars. Spectroscopic data for spectral typing come from several spectrographs with similar spectroscopic coverage and resolution. More than half of the stars in our sample are members confirmed by the presence of lithium in absorption, strong Hα in emission or weak gravity-sensitive features. In addition, we have obtained high-resolution (R ∼ 34,000) spectra in the Hα region for 169 stars in the region. Radial velocities were calculated from this data set. The radial velocity distribution for members of the cluster is in agreement with previous work. Analysis of the profile of the Hα line and infrared observations reveals two binary systems or fast rotators that mimic the Hα width expected in stars with accretion disks. On the other hand, there are stars with optically thick disks and narrow Hα profiles not expected in stars with accretion disks. This contribution constitutes the largest homogeneous spectroscopic data set of the σ Orionis cluster to date.

  11. Categorical Exclusion Determinations: B5.11

    Energy.gov [DOE]

    B5.11: Permanent exemptions allowing mixed natural gas and petroleumFor new electric powerplants, grants or denials of permanent exemptions from the prohibitions of Title II of the Powerplant and...

  12. Categorical Exclusion Determinations: B5.9

    Energy.gov [DOE]

    B5.9: Temporary exemptions for electric powerplantsGrants or denials of temporary exemptions under the Powerplant and Industrial Fuel Use Act of 1978, as amended, for electric powerplants.

  13. National Solar Jobs Census 2014

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Solar Foundation’s National Solar Jobs Census 2014 is the fifth annual update of current employment, trends, and projected growth in the U.S. solar industry. Data for Census 2014 is derived...

  14. http://www.census.gov/

    National Nuclear Security Administration (NNSA)

    People & Households American Community Survey * Estimates * Projections Income | State Median Income * Poverty * Health Insurance International * Genealogy * Census 2000 * More ...

  15. Technical description of Stack 296-B-5

    SciTech Connect

    Ridge, T.M.

    1994-11-15

    Of particular concern to facilities on the Hanford site is Title 40, Code of Federal Regulations, Chapter 40, Part 61, Subpart H, ``National emission Standards for Emissions of Radionuclides Other Than Radon From Department of Energy Facilities.`` Assessments of facility stacks and potential radionuclide emissions determined whether these stacks would be subject to the sampling and monitoring requirements of 40 CFR 61, Subpart H. Stack 296-B-5 exhausts 221-BB building which houses tanks containing B Plant steam condensate and B Plant process condensate from the operation of the low-level waste concentrator. The assessment of potential radionuclide emissions from the 296-B-5 stack resulted in an effective dose equivalent to the maximally exposed individual of less than 0.1 millirem per year. Therefore, the stack is not subject to the sampling and monitoring requirements of 40 CFR 61, Subpart H. However, the sampling and monitoring system must be in compliance with the Environmental Compliance Manual, WHC-CM-7-5. Currently, 296-B-5 is sampled continuously with a record sampler and continuous air monitor (CAM).

  16. Categorical Exclusion Determinations: B5.23 | Department of Energy

    Energy Saver

    3 Categorical Exclusion Determinations: B5.23 Existing Regulations B5.23: Electric vehicle charging stations The installation, modification, operation, and removal of electric ...

  17. 2015 National Solar Jobs Census

    Energy.gov [DOE]

    The Solar Foundation's National Solar Jobs Census 2015 is the sixth annual edition of current employment, trends, and projected growth in the U.S. solar industry. Given this industry's rapid...

  18. Categorical Exclusion Determinations: B5.1 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    B5.1 Categorical Exclusion Determinations: B5.1 Existing Regulations B5.1: Actions to conserve energy or water (a) Actions to conserve energy or water, demonstrate potential energy or water conservation, and promote energy efficiency that would not have the potential to cause significant changes in the indoor or outdoor concentrations of potentially harmful substances. These actions may involve financial and technical assistance to individuals (such as builders, owners, consultants,

  19. " Generation by Census Region, Industry Group,...

    Energy Information Administration (EIA) (indexed site)

    ... Microbial",60,0,12,48,"*",11.6 ," Bioprocessing",376,"Q","W","W",0,11.3 ," Gasification of Biomass Feedstocks","W","Q","*","W",0,18.3 ," Fast Pyrolysis of Biomass ...

  20. " Electricity Generation by Census Region, Industry...

    Energy Information Administration (EIA) (indexed site)

    "," "," ","Coke"," ","Row" "Code(a)","Industry Groups and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","LPG","Coal","and ...

  1. 1999 Commercial Buildings Characteristics--Census Region

    Energy Information Administration (EIA) (indexed site)

    (202) 586-8800. Energy Information Administration Commercial Buildings Energy Consumption Survey Top Return to: "1999 CBECS-Commercial Buildings Characteristics" Specific questions...

  2. Categorical Exclusion Determinations: B5.19 | Department of Energy

    Energy.gov [DOE] (indexed site)

    ... June 19, 2012 CX-008553: Categorical Exclusion Determination Middlesex Community College - Geothermal Project CX(s) Applied: A9, B2.1, B2.2, B5.19 Date: 06192012 Location(s): ...

  3. Categorical Exclusion Determinations: B5.15 | Department of Energy

    Energy Saver

    ... CX(s) Applied: A9, B3.6, B5.15 Fuel Cell Technologies Office Date: 12032015 ... Magnetic Communication Network for Smart Photovoltaic Solar Power Modules Award Number: ...

  4. Categorical Exclusion Determinations: B5.10 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    0 Categorical Exclusion Determinations: B5.10 Existing Regulations B5.10: Certain permanent exemptions for existing electric powerplants For existing electric powerplants, grants or denials of permanent exemptions under the Powerplant and Industrial Fuel Use Act of 1978, as amended, other than exemptions under section 312(c) relating to cogeneration and section 312(b) relating to certain state or local requirements. Previous Regulations Categorical Exclusion Determinations dated before November

  5. Categorical Exclusion Determinations: B5.12 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    2 Categorical Exclusion Determinations: B5.12 Existing Regulations B5.12: Workover of existing wells Workover (operations to restore production, such as deepening, plugging back, pulling and resetting lines, and squeeze cementing) of existing wells (including, but not limited to, activities associated with brine, carbon dioxide, coalbed methane, gas hydrate, geothermal, natural gas, and oil) to restore functionality, provided that workover operations are restricted to the existing wellpad and do

  6. Categorical Exclusion Determinations: B5.13 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    3 Categorical Exclusion Determinations: B5.13 Existing Regulations B5.13: Experimental wells for injection of small quantities of carbon dioxide Siting, construction, operation, plugging, and abandonment of experimental wells for the injection of small quantities of carbon dioxide (and other incidentally co-captured gases) in locally characterized, geologically secure storage formations at or near existing carbon dioxide sources to determine the suitability of the formations for large-scale

  7. Categorical Exclusion Determinations: B5.14 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    4 Categorical Exclusion Determinations: B5.14 Existing Regulations B5.14: Combined heat and power or cogeneration systems Conversion to, replacement of, or modification of combined heat and power or cogeneration systems (the sequential or simultaneous production of multiple forms of energy, such as thermal and electrical energy, in a single integrated system) at existing facilities, provided that the conversion, replacement, or modification would not have the potential to cause a significant

  8. Categorical Exclusion Determinations: B5.16 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    6 Categorical Exclusion Determinations: B5.16 Existing Regulations B5.16: Solar photovoltaic systems The installation, modification, operation, and removal of commercially available solar photovoltaic systems located on a building or other structure (such as rooftop, parking lot or facility, and mounted to signage, lighting, gates, or fences), or if located on land, generally comprising less than 10 acres within a previously disturbed or developed area. Covered actions would be in accordance

  9. Categorical Exclusion Determinations: B5.17 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    7 Categorical Exclusion Determinations: B5.17 Existing Regulations B5.17: Solar thermal systems The installation, modification, operation, and removal of commercially available small-scale solar thermal systems (including, but not limited to, solar hot water systems) located on or contiguous to a building, and if located on land, generally comprising less than 10 acres within a previously disturbed or developed area. Covered actions would be in accordance with applicable requirements (such as

  10. Categorical Exclusion Determinations: B5.2 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    2 Categorical Exclusion Determinations: B5.2 Existing Regulations B5.2: Modifications to pumps and piping Modifications to existing pump and piping configurations (including, but not limited to, manifolds, metering systems, and other instrumentation on such configurations conveying materials such as air, brine, carbon dioxide, geothermal system fluids, hydrogen gas, natural gas, nitrogen gas, oil, produced water, steam, and water). Covered modifications would not have the potential to cause

  11. Categorical Exclusion Determinations: B5.20 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    0 Categorical Exclusion Determinations: B5.20 Existing Regulations B5.20: Biomass power plants The installation, modification, operation, and removal of small-scale biomass power plants (generally less than 10 megawatts), using commercially available technology (1) intended primarily to support operations in single facilities (such as a school and community center) or contiguous facilities (such as an office complex); (2) that would not affect the air quality attainment status of the area and

  12. Categorical Exclusion Determinations: B5.22 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    2 Categorical Exclusion Determinations: B5.22 Existing Regulations B5.22: Alternative fuel vehicle fueling stations The installation, modification, operation, and removal of alternative fuel vehicle fueling stations (such as for compressed natural gas, hydrogen, ethanol and other commercially available biofuels) on the site of a current or former fueling station, or within a previously disturbed or developed area within the boundaries of a facility managed by the owners of a vehicle fleet.

  13. Categorical Exclusion Determinations: B5.24 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    4 Categorical Exclusion Determinations: B5.24 Existing Regulations B5.24: Drop-in hydroelectric systems The installation, modification, operation, and removal of commercially available small-scale, drop-in, run-of-the-river hydroelectric systems that would (1) involve no water storage or water diversion from the stream or river channel where the system is installed and (2) not have the potential to cause significant impacts on water quality, temperature, flow, or volume. Covered systems would be

  14. Categorical Exclusion Determinations: B5.25 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    5 Categorical Exclusion Determinations: B5.25 Existing Regulations B5.25: Small-scale renewable energy research and development and pilot projects in aquatic environments Small-scale renewable energy research and development projects and small-scale pilot projects located in aquatic environments. Activities would be in accordance with, where applicable, an approved spill prevention, control, and response plan, and would incorporate appropriate control technologies and best management practices.

  15. Categorical Exclusion Determinations: B5.3 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    3 Categorical Exclusion Determinations: B5.3 Existing Regulations B5.3: Modification or abandonment of wells Modification (but not expansion) or plugging and abandonment of wells, provided that site characterization has verified a low potential for seismicity, subsidence, and contamination of freshwater aquifers, and the actions are otherwise consistent with best practices and DOE protocols, including those that protect against uncontrolled releases of harmful materials. Such wells may include,

  16. Categorical Exclusion Determinations: B5.4 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    4 Categorical Exclusion Determinations: B5.4 Existing Regulations B5.4: Repair or replacement of pipelines Repair, replacement, upgrading, rebuilding, or minor relocation of pipelines within existing rights-of-way, provided that the actions are in accordance with applicable requirements (such as Army Corps of Engineers permits under section 404 of the Clean Water Act). Pipelines may convey materials including, but not limited to, air, brine, carbon dioxide, geothermal system fluids, hydrogen

  17. Categorical Exclusion Determinations: B5.5 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    5 Categorical Exclusion Determinations: B5.5 Existing Regulations B5.5: Short pipeline segments Construction and subsequent operation of short (generally less than 20 miles in length) pipeline segments conveying materials (such as air, brine, carbon dioxide, geothermal system fluids, hydrogen gas, natural gas, nitrogen gas, oil, produced water, steam, and water) between existing source facilities and existing receiving facilities (such as facilities for use, reuse, transportation, storage, and

  18. Categorical Exclusion Determinations: B5.6 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    6 Categorical Exclusion Determinations: B5.6 Existing Regulations B5.6: Oil spill cleanup Removal of oil and contaminated materials recovered in oil spill cleanup operations and disposal of these materials in accordance with applicable requirements (such as the National Oil and Hazardous Substances Pollution Contingency Plan). Previous Regulations Categorical Exclusion Determinations dated before November 14th, 2011 were issued under previous DOE NEPA regulations. See the Notice of Final

  19. Categorical Exclusion Determinations: B5.7 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    7 Categorical Exclusion Determinations: B5.7 Existing Regulations B5.7: Import or export natural gas, with operational changes Approvals or disapprovals of new authorizations or amendments of existing authorizations to import or export natural gas under section 3 of the Natural Gas Act that involve minor operational changes (such as changes in natural gas throughput, transportation, and storage operations) but not new construction. Previous Regulations Categorical Exclusion Determinations dated

  20. Categorical Exclusion Determinations: B5.8 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    8 Categorical Exclusion Determinations: B5.8 Existing Regulations B5.8: Import or export natural gas, with new cogeneration powerplant Approvals or disapprovals of new authorizations or amendments of existing authorizations to import or export natural gas under section 3 of the Natural Gas Act that involve new cogeneration powerplants (as defined in the Powerplant and Industrial Fuel Use Act of 1978, as amended) within or contiguous to an existing industrial complex and requiring generally less

  1. National Solar Schools Census 2014

    Energy.gov [DOE]

    With support from the SunShot Initiative, TSF’s national solar schools census, “Brighter Future: A Study on Solar in U.S. Schools” serves as a starting point for sharing ideas and best practices between schools experienced with solar energy and those seeking to join their ranks. Each solar school has its own unique story to tell on how their systems were financed and installed and how (and whether) solar has been integrated into class curricula.

  2. Categorical Exclusion Determinations: B5.18 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    8 Categorical Exclusion Determinations: B5.18 Existing Regulations B5.18: Wind turbines The installation, modification, operation, and removal of a small number (generally not more than 2) of commercially available wind turbines, with a total height generally less than 200 feet (measured from the ground to the maximum height of blade rotation) that (1) are located within a previously disturbed or developed area; (2) are located more than 10 nautical miles (about 11.5 miles) from an airport or

  3. 45th annual Reed rig census

    SciTech Connect

    Stokes, T.A.; Rodriguez, M.R.

    1997-10-01

    Since 1983, Reed Tool Co.`s annual rotary rig census has reported 14 consecutive annual reductions in the U.S. rig fleet. This year, the downward trend has reversed and more rigs have been added to the available fleet than have left. Robust drilling activity has also spurred higher rig utilization in 1997. Utilization climbed to 86.9% this year, more than ten percentage points higher than a year ago and the highest since 1981. Data and trends are discussed.

  4. Table A19. Components of Total Electricity Demand by Census...

    Energy Information Administration (EIA) (indexed site)

    ... Division, Form EIA-846, '1991" "Manufacturing Energy Consumption Survey,' and Bureau of the Census, Industry" "Division, data files for the '1991 Annual Survey of Manufactures.'

  5. Wade Hampton Census Area, Alaska: Energy Resources | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Wade Hampton Census Area, Alaska: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 62.1458336, -162.8919191 Show Map Loading map......

  6. Table B3. Census Region, Number of Buildings and Floorspace,...

    Energy Information Administration (EIA) (indexed site)

    ...90,3080,3808,7088,3414 "Building Shell Conservation" "Features (more than one" "may ...9,383,29915,4525,6364,11246,7780 "HVAC Conservation Features" "(more than one may apply)" ...

  7. "Table A25. Average Prices of Selected Purchased Energy Sources by Census"

    Energy Information Administration (EIA) (indexed site)

    . Average Prices of Selected Purchased Energy Sources by Census" " Region, Industry Group, and Selected Industries, 1991: Part 1" " (Estimates in Dollars per Physical Unit)" ,,,,," " " "," "," ","Residual","Distillate","Natural Gas(c)"," "," ","RSE" "SIC"," ","Electricity","Fuel Oil","Fuel

  8. "Table A40. Average Prices of Selected Purchased Energy Sources by Census"

    Energy Information Administration (EIA) (indexed site)

    Region, Census Division, Industry Group, and Selected Industries, 1994: Part 2" " (Estimates in Dollars per Million Btu)" ,,,,,,,,"RSE" "SIC"," "," ","Residual","Distillate"," "," "," ","Row" "Code(a)","Industry Group and Industry","Electricity","Fuel Oil","Fuel Oil(b)","Natural

  9. Table 38. Coal Stocks at Coke Plants by Census Division

    Gasoline and Diesel Fuel Update

    Coal Stocks at Coke Plants by Census Division (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2014 Table 38. Coal Stocks at Coke Plants by Census Division (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2014 Census Division June 30, 2014 March 31, 2014 June 30, 2013 Percent Change (June 30) 2014 versus 2013 Middle Atlantic 547 544 857 -36.2 East North Central 1,130 963 1,313 -13.9 South

  10. Cummins Engine Company B5.9 Propane Engine Development, Certification, and Demonstration Project

    SciTech Connect

    The ADEPT Group, Inc.

    1998-12-18

    The objective of this project was to successfuly develop and certify an LPG-dedicated medium-duty original equipment manufacturer (OEM) engine that could be put into production. The engine was launched into production in 1994, and more than 800 B5.9G engines are now in service in the United States and abroad. This engine is now offered by more than 30 bus and truck OEMs.

  11. Steady-state pressure losses for Multirod Burst Test (MRBT) bundle B-5. [PWR

    SciTech Connect

    Bailey, R.T.

    1982-04-01

    The Oak Ridge National Laboratory (ORNL) has undertaken the Multirod Burst Test (MRBT) program for the purpose of characterizing the deformation behavior of unirradiated fuel cladding. As part of this program, ORNL contracted with the Babcock and Wilcox company (B and W) to obtain experimental hydraulic data for one of the MRBT bundles. This report presents the data that describe the pressure loss characteristics of Multirod Burst Test Bundle B-5 and a reference or pre-burst geometry bundle. The 8 x 8-rod bundles were flow tested at Reynolds numbers between 17,700 nd 177,000. For each of the five test flow rates, the static pressures at 480 points on the perimeter of the bundles were measured. The total pressure loss for the B-5 bundle showed about a fourfold increase over that for the reference geometry bundle. The shape of the axial pressure loss profile for the B-5 bundle agreed with the observed distribution of the clad deformations. The experimental data presented in this report will be used as one of essential inputs to the continuing analytical work at ORNL.

  12. Table A9. Total Primary Consumption of Energy for All Purposes by Census

    Energy Information Administration (EIA) (indexed site)

    A9. Total Primary Consumption of Energy for All Purposes by Census" " Region and Economic Characteristics of the Establishment, 1991" " (Estimates in Btu or Physical Units)" ,,,,,,,,"Coke" " "," ","Net","Residual","Distillate","Natural Gas(d)"," ","Coal","and Breeze"," ","RSE" " ","Total","Electricity(b)","Fuel

  13. "Table A25 Average Prices of Selected Purchased Energy Sources by Census"

    Energy Information Administration (EIA) (indexed site)

    Average Prices of Selected Purchased Energy Sources by Census" " Region, Industry Group, and Selected Industries, 1991: Part 2" " (Estimates in Dollars per Million Btu)" ,,,,,,,,"RSE" "SIC"," "," ","Residual","Distillate"," "," "," ","Row" "Code(a)","Industry Groups and Industry","Electricity","Fuel Oil","Fuel

  14. "Table A40. Average Prices of Selected Purchased Energy Sources by Census"

    Energy Information Administration (EIA) (indexed site)

    Region, Census Division, Industry Group, and Selected Industries, 1994: Part 1" " (Estimates in Dollars per Physical Units)" ,,,,," " " "," "," ","Residual","Distillate","Natural Gas(c)"," "," ","RSE" "SIC"," ","Electricity","Fuel Oil","Fuel Oil(b)","(1000","LPG","Coal","Row"

  15. APPENDICES TECHNICAL SUPPORT MEMO FOR PROPOSED CATEGORICAL EXCLUSION B5.25

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    APPENDICES TECHNICAL SUPPORT MEMO FOR PROPOSED CATEGORICAL EXCLUSION B5.25 APPENDIX A SUPPLEMENTAL CURRICULA VITAE FOR EXPERT PANEL APPENDIX A SUPPLEMENTAL CURRICULA VITAE FOR EXPERT PANEL A-1. Kurt W. Buchholz A-2. Paul T. Jacobson, Ph.D. A-3. Louise Kregting, Ph.D. A-4. Dallas J. Meggitt A-5. Rafael A. Olivieri, Ph.D. A-6. Stephen W. Shaner, Ph.D. A-1. Kurt W. Buchholz A-2. Paul T. Jacobson, Ph.D. A-3. Louise Kregting, Ph.D. A-4. Dallas J. Meggitt A-5. Rafael A. Olivieri, Ph.D. A-6. Stephen W.

  16. Cytochrome b5 gene and protein of Candida tropicalis and methods relating thereto

    DOEpatents

    Craft, David L.; Madduri, Krishna M.; Loper, John C.

    2003-01-01

    A novel gene has been isolated which encodes cytochrome b5 (CYTb5) protein of the .omega.-hydroxylase complex of C. tropicalis 20336. Vectors including this gene, and transformed host cells are provided. Methods of increasing the production of a CYTb5 protein are also provided which involve transforming a host cell with a gene encoding this protein and culturing the cells. Methods of increasing the production of a dicarboxylic acid are also provided which involve increasing in the host cell the number of genes encoding this protein.

  17. Experiment data report for Multirod Burst Test (MRBT) Bundle B-5. [PWR

    SciTech Connect

    Chapman, R H; Crowley, J L; Longest, A W

    1984-08-01

    A reference source of MRBT bundle B-5 test data is presented with interpretation limited to that necessary to understand pertinent features of the test. Primary objectives of this 8 x 8 multirod burst test were to investigate the effects of array size and rod-to-rod interactions on cladding deformation in the high-alpha-Zircaloy temperature range under simulated light-water reactor loss-of-coolant accident (LOCA) conditions. B-5 test conditions, nominally the same as used in an earlier 4 x 4 (B-3) test, simulated the adiabatic heatup (reheat) phase of an LOCA and were conducive to large deformation. The fuel pin simulators were electrically heated (average linear power generation of 3.0 kW/m) and were slightly cooled with a very low flow (Re approx. 140) of low-pressure superheated steam. The cladding temperature increased from the initial temperature (335/sup 0/C) to the burst temperature at a rate of 9.8/sup 0/C/s. The simulators burst in a very narrow temperature range, with an average of 768/sup 0/C. Cladding burst strain ranged from 32% to 95%, with an average of 61%. Volumetric expansion over the heated length of the cladding ranged from 35% to 79%, with an average of 52%. The results clearly show deformation was greater in the bundle interior and suggest rod-to-rod mechanical interactions caused axial propagation of the deformation.

  18. Level: National and Regional Data; Row: Energy Sources; Column...

    Gasoline and Diesel Fuel Update

    Nonswitchable Minimum and Maximum Consumption, 2010; Level: National and Regional Data; ... Northeast Census Region Electricity Receipts(c) (million kilowatthour 76,384 74,205 79,981 ...

  19. Statement from Energy Secretary Ernest Moniz on the 2014 Solar Job Census |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Energy Secretary Ernest Moniz on the 2014 Solar Job Census Statement from Energy Secretary Ernest Moniz on the 2014 Solar Job Census January 15, 2015 - 9:50am Addthis News Media Contact 202-586-4940 Statement from Energy Secretary Ernest Moniz on the 2014 Solar Job Census WASHINGTON, D.C. - Secretary Ernest Moniz issued the following statement today on the 2014 National Solar Jobs Census: "Solar power is a key component of our all-of-the-above approach to American

  20. Table A26. Total Quantity of Purchased Energy Sources by Census...

    Energy Information Administration (EIA) (indexed site)

    ... Division, Form EIA-846, '1991" "Manufacturing Energy Consumption Survey,' and Bureau of the Census, Industry" "Division, data files for the '1991 Annual Survey of Manufactures.'

  1. The census of complex organic molecules in the solar-type protostar IRAS16293-2422

    SciTech Connect

    Jaber, Ali A.; Ceccarelli, C.; Kahane, C.; Caux, E.

    2014-08-10

    Complex organic molecules (COMs) are considered to be crucial molecules, since they are connected with organic chemistry, at the basis of terrestrial life. More pragmatically, they are molecules which in principle are difficult to synthesize in harsh interstellar environments and, therefore, are a crucial test for astrochemical models. Current models assume that several COMs are synthesized on lukewarm grain surfaces (≳30-40 K) and released in the gas phase at dust temperatures of ≳100 K. However, recent detections of COMs in ≲20 K gas demonstrate that we still need important pieces to complete the puzzle of COMs formation. Here, we present a complete census of the oxygen- and nitrogen-bearing COMs, previously detected in different Interstellar Medium (ISM) regions, toward the solar-type protostar IRAS16293-2422. The census was obtained from the millimeter-submillimeter unbiased spectral survey TIMASSS. Of the 29 COMs searched for, 6 were detected: methyl cyanide, ketene, acetaldehyde, formamide, dimethyl ether, and methyl formate. Multifrequency analysis of the last five COMs provides clear evidence that they are present in the cold (≲30 K) envelope of IRAS16293-2422, with abundances of 0.03-2 × 10{sup –10}. Our data do not allow us to support the hypothesis that the COMs abundance increases with increasing dust temperature in the cold envelope, as expected if COMs were predominately formed on lukewarm grain surfaces. Finally, when also considering other ISM sources, we find a strong correlation over five orders of magnitude between methyl formate and dimethyl ether, and methyl formate and formamide abundances, which may point to a link between these two couples of species in cold and warm gas.

  2. A GSC Global Genome Census (GSC8 Meeting)

    ScienceCinema

    Kyrpides, Nikos [DOE JGI

    2016-07-12

    The Genomic Standards Consortium was formed in September 2005. It is an international, open-membership working body which promotes standardization in the description of genomes and the exchange and integration of genomic data. The 2009 meeting was an activity of a five-year funding "Research Coordination Network" from the National Science Foundation and was organized held at the DOE Joint Genome Institute with organizational support provided by the JGI and by the University of California - San Diego. Nikos Kyrpides of the DOE Joint Genome Institute discusses the notion of a global genome census at the Genomic Standards Consortium's 8th meeting at the DOE JGI in Walnut Creek, Calif. on Sept. 9, 2009.

  3. A GSC Global Genome Census (GSC8 Meeting)

    SciTech Connect

    Kyrpides, Nikos

    2009-09-09

    The Genomic Standards Consortium was formed in September 2005. It is an international, open-membership working body which promotes standardization in the description of genomes and the exchange and integration of genomic data. The 2009 meeting was an activity of a five-year funding "Research Coordination Network" from the National Science Foundation and was organized held at the DOE Joint Genome Institute with organizational support provided by the JGI and by the University of California - San Diego. Nikos Kyrpides of the DOE Joint Genome Institute discusses the notion of a global genome census at the Genomic Standards Consortium's 8th meeting at the DOE JGI in Walnut Creek, Calif. on Sept. 9, 2009.

  4. 1992 National census for district heating, cooling and cogeneration

    SciTech Connect

    Not Available

    1993-07-01

    District energy systems are a major part of the energy use and delivery infrastructure of the United States. With nearly 6,000 operating systems currently in place, district energy represents approximately 800 billion BTU per hour of installed thermal production capacity, and provides over 1.1 quadrillion BTU of energy annually -- about 1.3% of all energy used in the US each year. Delivered through more that 20,000 miles of pipe, this energy is used to heat and cool almost 12 billion square feet of enclosed space in buildings that serve a diverse range of office, education, health care, military, industrial and residential needs. This Census is intended to provide a better understanding of the character and extent of district heating, cooling and cogeneration in the United States. It defines a district energy system as: Any system that provides thermal energy (steam, hot water, or chilled water) for space heating, space cooling, or process uses from a central plant, and that distributes the energy to two or more buildings through a network of pipes. If electricity is produced, the system is a cogenerating facility. The Census was conducted through surveys administered to the memberships of eleven national associations and agencies that collectively represent the great majority of the nation`s district energy system operators. Responses received from these surveys account for about 11% of all district systems in the United States. Data in this report is organized and presented within six user sectors selected to illustrate the significance of district energy in institutional, community and utility settings. Projections estimate the full extent of district energy systems in each sector.

  5. Short-Term Energy Outlook Model Documentation: Regional Residential Heating Oil Price Model

    Reports and Publications

    2009-01-01

    The regional residential heating oil price module of the Short-Term Energy Outlook (STEO) model is designed to provide residential retail price forecasts for the 4 census regions: Northeast, South, Midwest, and West.

  6. Short-Term Energy Outlook Model Documentation: Regional Residential Propane Price Model

    Reports and Publications

    2009-01-01

    The regional residential propane price module of the Short-Term Energy Outlook (STEO) model is designed to provide residential retail price forecasts for the 4 Census regions: Northeast, South, Midwest, and West.

  7. CENSUS OF BLUE STARS IN SDSS DR8

    SciTech Connect

    Scibelli, Samantha; Newberg, Heidi Jo; Carlin, Jeffrey L.; Yanny, Brian

    2015-01-01

    We present a census of the 12,060 spectra of blue objects ((g – r){sub 0} < –0.25) in the Sloan Digital Sky Survey (SDSS) Data Release 8 (DR8). As part of the data release, all of the spectra were cross-correlated with 48 template spectra of stars, galaxies, and QSOs to determine the best match. We compared the blue spectra by eye to the templates assigned in SDSS DR8. 10,856 of the objects matched their assigned template, 170 could not be classified due to low signal-to-noise ratio, and 1034 were given new classifications. We identify 7458 DA white dwarfs, 1145 DB white dwarfs, 273 rarer white dwarfs (including carbon, DZ, DQ, and magnetic), 294 subdwarf O stars, 648 subdwarf B stars, 679 blue horizontal branch stars, 1026 blue stragglers, 13 cataclysmic variables, 129 white dwarf-M dwarf binaries, 36 objects with spectra similar to DO white dwarfs, 179, quasi-stellar objects (QSOs), and 10 galaxies. We provide two tables of these objects, sample spectra that match the templates, figures showing all of the spectra that were grouped by eye, and diagnostic plots that show the positions, colors, apparent magnitudes, proper motions, etc., for each classification. Future surveys will be able to use templates similar to stars in each of the classes we identify to automatically classify blue stars, including rare types.

  8. Solar Census - Perfecting the Art of Automated, Remote Solar Shading Assessments (Fact Sheet)

    SciTech Connect

    Not Available

    2014-04-01

    To validate the work completed by Solar Census as part of the Department of Energy SunShot Incubator 8 award, NREL validated the performanec of the Solar Census Surveyor tool against the industry standard Solmetric SunEye measurements for 4 residential sites in California who experienced light to heavy shading. Using the a two one-sided test (TOST) of statistical equivalence, NREL found that the mean differences between the Solar Census and SunEye mean solar access values for Annual, Summer, and Winter readings fall within the 95% confidence intervals and the confidence intervals themselves fall within the tolerances of +/- 5 SAVs, the Solar Census calculations are statistically equivalent to the SunEye measurements.

  9. A stellar census of the Tucana-Horologium moving group

    SciTech Connect

    Kraus, Adam L.; Shkolnik, Evgenya L.; Allers, Katelyn N.; Liu, Michael C.

    2014-06-01

    We report the selection and spectroscopic confirmation of 129 new late-type (SpT = K3-M6) members of the Tucana-Horologium moving group, a nearby (d ∼ 40 pc), young (τ ∼ 40 Myr) population of comoving stars. We also report observations for 13 of the 17 known Tuc-Hor members in this spectral type range, and that 62 additional candidates are likely to be unassociated field stars; the confirmation frequency for new candidates is therefore 129/191 = 67%. We have used radial velocities, Hα emission, and Li{sub 6708} absorption to distinguish between contaminants and bona fide members. Our expanded census of Tuc-Hor increases the known population by a factor of ∼3 in total and by a factor of ∼8 for members with SpT ≥ K3, but even so, the K-M dwarf population of Tuc-Hor is still markedly incomplete. Our expanded census allows for a much more detailed study of Tuc-Hor than was previously feasible. The spatial distribution of members appears to trace a two-dimensional sheet, with a broad distribution in X and Y, but a very narrow distribution (±5 pc) in Z. The corresponding velocity distribution is very small, with a scatter of ±1.1 km s{sup –1} about the mean UVW velocity for stars spanning the entire 50 pc extent of Tuc-Hor. We also show that the isochronal age (τ ∼ 20-30 Myr) and the lithium depletion boundary age (τ ∼ 40 Myr) disagree, following the trend in other pre-main-sequence populations for isochrones to yield systematically younger ages. The Hα emission line strength follows a trend of increasing equivalent width with later spectral type, as is seen for young clusters. We find that moving group members have been depleted of measurable lithium for spectral types of K7.0-M4.5. None of our targets have significant infrared excesses in the WISE W3 band, yielding an upper limit on warm debris disks of F < 0.7%. Finally, our purely kinematic and color-magnitude selection procedure allows us to test the efficiency and completeness for activity

  10. b5.pdf

    Energy Information Administration (EIA) (indexed site)

    West South Central Mountain Pacific All Buildings ............................................... 67,338 3,735 8,625 11,205 5,556 11,001 5,220 7,264 4,579 10,152 Building Floorspace (Square Feet) 1,001 to 5,000 .............................................. 6,774 287 614 1,186 648 1,006 514 1,015 493 1,009 5,001 to 10,000 ............................................ 8,238 287 1,015 1,480 566 1,430 644 983 612 1,222 10,001 to 25,000 .......................................... 11,153 569 1,384

  11. b5.xls

    Gasoline and Diesel Fuel Update

    ... Equipment Usage Reduced When Building Not In Full Use (more than one may apply) a Heating ...... 42,722 1,768 7,751 7,595 3,314 7,843 2,124 ...

  12. Appendix B-5

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    5 STANDARD TERMS AND CONDITIONS FOR FIRM FIXED-PRICE SUBCONTRACTS FOR ARCHITECT-ENGINEERING SERVICES JULY 2014 Subcontractor is hereby on notice that the contracting party to this subcontract is the Alliance for Sustainable Energy, LLC, in its capacity as the Managing and Operating Contractor for the National Renewable Energy Laboratory (NREL) under U.S. Department No. DE-AC36-08GO28308. All references to "NREL" in this subcontract shall mean the Alliance for Sustainable Energy, LLC.

  13. Table HC1-12a. Housing Unit Characteristics by West Census Region...

    Energy Information Administration (EIA) (indexed site)

    ... For this report, the heating or cooling degree-days are a measure of how cold or how hot a location is over a period of one year, relative to a base temperature of 65 degrees ...

  14. U.S. Census Regions and Divisions Map for Commercial Buildings

    Energy Information Administration (EIA) (indexed site)

    on these products may be directed to: Joelle Michaels joelle.michaels@eia.doe.gov CBECS Manager URL: http:www.eia.govconsumptioncommercialdataarchivecbecscensusmaps.html...

  15. " Electricity Generation by Census Region, Industry Group, and Selected"

    Energy Information Administration (EIA) (indexed site)

    1" " (Estimates in Btu or Physical Units)" " "," "," "," "," "," "," "," "," ","Coke"," "," " " "," "," "," ","Residual","Distillate","Natural Gas(d)"," ","Coal","and Breeze"," ","RSE" "SIC","

  16. "Table A42. Average Prices of Purchased Energy Sources by Census Region,"

    Energy Information Administration (EIA) (indexed site)

    1" " (Estimates in Dollars per Physical Units)" ,,,,,"Noncombustible Energy Sources",,,,,,,,,,,,,,,,,,"Combustible Energy Sources" ,,,,,,,,,,,,,,,"Solids",,,,,,,,,,"Gases",,,,,,,,,"Liquids" " "," ",," "," ",,,,," "," "," "," "," "," "," ",,,"Wood","Wood Residues",,,,,,,,,,,,,,,,,,,," " "

  17. Interfacing 1990 US Census TIGER map files with New S graphics software

    SciTech Connect

    Rizzardi, M.; Mohr, M.S.; Merrill, D.W.; Selvin, S. |

    1992-07-01

    In 1990, the United States Bureau of the Census released detailed geographic base files known as TIGER/Line (Topologically Integrated Geographic Encoding and Referencing) which contain detail on the physical features and census tract boundaries of every county in the United States. The TIGER database is attractive for two reasons. First, it is publicly available through the Bureau of the Census on tape or cd-rom for a minimal fee. Second, it contains 24 billion characters of data which describe geographic features of interest to the Census Bureau such as coastlines, hydrography, transportation networks, political boundaries, etc. Unfortunately, the large TIGER database only provides raw alphanumeric data; no utility software, graphical or otherwise, is included. On the other hand New S, a popular statistical software package by AT&T, has easily operated functions that permit advanced graphics in conjunction with data analysis. New S has the ability to plot contours, lines, segments, and points. However, of special interest is the New S function map and its options. Using the map function, which requires polygons as input, census tracts can be quickly selected, plotted, shaded, etc. New S graphics combined with the TIGER database has obvious potential. This paper reports on our efforts to use the TIGER map files with New S, especially to construct census tract maps of counties. While census tract boundaries are inherently polygonal, they are not organized as such in the TIGER database. This conversion of the TIGER ``line`` format into New S ``polygon/polyline`` format is one facet of the work reported here. Also we discuss the selection and extraction of auxiliary geographic information from TIGER files for graphical display using New S.

  18. Data:32b0abb8-a929-4537-b5ed-ab1155e4aa0b | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    -b5ed-ab1155e4aa0b No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic...

  19. Data:60cf163f-493f-4fe2-a26c-cc15b5cbc451 | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    cc15b5cbc451 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2....

  20. Data:5c21e410-1432-4f35-b5d1-e0e3eefd8018 | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    b5d1-e0e3eefd8018 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic...

  1. " Level: National Data and Regional...

    Energy Information Administration (EIA) (indexed site)

    ... Division, Form EIA-846, '2002 Manufacturing" "Energy Consumption Survey,' and the Bureau of the Census," "data files for the '2002 Economic Census, Manufacturing - Industry Series

  2. Report for Development of a Census Array and Evaluation of the Array to Detect Biothreat Agents and Environmental Samples for DHS

    SciTech Connect

    Jaing, C; Jackson, P

    2011-04-14

    The objective of this project is to provide DHS a comprehensive evaluation of the current genomic technologies including genotyping, Taqman PCR, multiple locus variable tandem repeat analysis (MLVA), microarray and high-throughput DNA sequencing in the analysis of biothreat agents from complex environmental samples. This report focuses on the design, testing and results of samples on the Census Array. We designed a Census/Detection Array to detect all sequenced viruses (including phage), bacteria (eubacteria), and plasmids. Family-specific probes were selected for all sequenced viral and bacterial complete genomes, segments, and plasmids. Probes were designed to tolerate some sequence variation to enable detection of divergent species with homology to sequenced organisms, and to be unique relative to the human genome. A combination of 'detection' probes with high levels of conservation within a family plus 'census' probes targeting strain/isolate specific regions enabled detection and taxonomic classification from the level of family down to the strain. The array has wider coverage of bacterial and viral targets based on more recent sequence data and more probes per target than other microbial detection/discovery arrays in the literature. We tested the array with purified bacterial and viral DNA/RNA samples, artificial mixes of known bacterial/viral samples, spiked DNA against complex background including BW aerosol samples and soil samples, and environmental samples to evaluate the array's sensitivity and forensic capability. The data were analyzed using our novel maximum likelihood software. For most of the organisms tested, we have achieved at least species level discrimination.

  3. Data:F3d511d9-6321-49ce-b5b2-a0d21fd28d52 | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    d9-6321-49ce-b5b2-a0d21fd28d52 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1....

  4. TOWARD A SPECTROSCOPIC CENSUS OF WHITE DWARFS WITHIN 40 pc OF THE SUN

    SciTech Connect

    Limoges, M.-M.; Bergeron, P.; Lepine, S. E-mail: bergeron@astro.umontreal.ca

    2013-05-15

    We present the preliminary results of a survey aimed at significantly increasing the range and completeness of the local census of spectroscopically confirmed white dwarfs. The current census of nearby white dwarfs is reasonably complete only to about 20 pc of the Sun, a volume that includes around 130 white dwarfs, a sample too small for detailed statistical analyses. This census is largely based on follow-up investigations of stars with very large proper motions. We describe here the basis of a method that will lead to a catalog of white dwarfs within 40 pc of the Sun and north of the celestial equator, thus increasing by a factor of eight the extent of the northern sky census. White dwarf candidates are identified from the SUPERBLINK proper motion database, allowing us to investigate stars down to a proper motion limit {mu} > 40 mas yr{sup -1}, while minimizing the kinematic bias for nearby objects. The selection criteria and distance estimates are based on a combination of color-magnitude and reduced proper motion diagrams. Our follow-up spectroscopic observation campaign has so far uncovered 193 new white dwarfs, among which we identify 127 DA (including 9 DA+dM and 4 magnetic), 1 DB, 56 DC, 3 DQ, and 6 DZ stars. We perform a spectroscopic analysis on a subsample of 84 DAs, and provide their atmospheric parameters. In particular, we identify 11 new white dwarfs with spectroscopic distances within 25 pc of the Sun, including five candidates to the D < 20 pc subset.

  5. Interfacing 1990 US Census TIGER map files with New S graphics software. [Topologically Integrated Geographic Encoding and Referencing (TIGER)

    SciTech Connect

    Rizzardi, M.; Mohr, M.S.; Merrill, D.W.; Selvin, S. California Univ., Berkeley, CA . School of Public Health)

    1992-07-01

    In 1990, the United States Bureau of the Census released detailed geographic base files known as TIGER/Line (Topologically Integrated Geographic Encoding and Referencing) which contain detail on the physical features and census tract boundaries of every county in the United States. The TIGER database is attractive for two reasons. First, it is publicly available through the Bureau of the Census on tape or cd-rom for a minimal fee. Second, it contains 24 billion characters of data which describe geographic features of interest to the Census Bureau such as coastlines, hydrography, transportation networks, political boundaries, etc. Unfortunately, the large TIGER database only provides raw alphanumeric data; no utility software, graphical or otherwise, is included. On the other hand New S, a popular statistical software package by AT T, has easily operated functions that permit advanced graphics in conjunction with data analysis. New S has the ability to plot contours, lines, segments, and points. However, of special interest is the New S function map and its options. Using the map function, which requires polygons as input, census tracts can be quickly selected, plotted, shaded, etc. New S graphics combined with the TIGER database has obvious potential. This paper reports on our efforts to use the TIGER map files with New S, especially to construct census tract maps of counties. While census tract boundaries are inherently polygonal, they are not organized as such in the TIGER database. This conversion of the TIGER line'' format into New S polygon/polyline'' format is one facet of the work reported here. Also we discuss the selection and extraction of auxiliary geographic information from TIGER files for graphical display using New S.

  6. tex21b5.tmp

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    * .: ,.- -, DOE/GO/10270 -- T/ UV WATERWORKS OUTREACH SUPPORT QxvF-%io%153-- FINAL REPORT )33 %w'lJ!40h370 PETER MILLER NATURAL RESOURCES DEFENSE COUNCIL 1 U.S.DEPTOFEf&CR~ GOLDEN FIELO ~~cf I DISCLMMER Thii reportWaS prepared as an accountof worksponsored by an agency of the Umtcd StatssGomamcnL Neither theUnitedStatas Govcrnmcttt noranyagency thereof,nor any of theiranplo~ makesattywarranty, express or impiia&or assumes anylegalIiability or rcsponaIMity f= theaacttmcy, compktan~ or

  7. "Table A41. Average Prices of Selected Purchased Energy Sources by Census Region,"

    Energy Information Administration (EIA) (indexed site)

    1" " (Estimates in Dollars per Physical Units)" " "," ","Residual","Distillate ","Natural"," "," ","RSE" " ","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","Row" "Economic Characteristics(a)","(kWh)","(gallons)","(gallons)","(1000 cu

  8. PHYSICAL PROPERTIES OF THE CURRENT CENSUS OF NORTHERN WHITE DWARFS WITHIN 40 pc OF THE SUN

    SciTech Connect

    Limoges, M.-M.; Bergeron, P.; Lépine, S. E-mail: bergeron@astro.umontreal.ca

    2015-08-15

    We present a detailed description of the physical properties of our current census of white dwarfs within 40 pc of the Sun, based on an exhaustive spectroscopic survey of northern hemisphere candidates from the SUPERBLINK proper motion database. Our method for selecting white dwarf candidates is based on a combination of theoretical color–magnitude relations and reduced proper motion diagrams. We reported in an earlier publication the discovery of nearly 200 new white dwarfs, and we present here the discovery of an additional 133 new white dwarfs, among which we identify 96 DA, 3 DB, 24 DC, 3 DQ, and 7 DZ stars. We further identify 178 white dwarfs that lie within 40 pc of the Sun, representing a 40% increase of the current census, which now includes 492 objects. We estimate the completeness of our survey at between 66% and 78%, allowing for uncertainties in the distance estimates. We also perform a homogeneous model atmosphere analysis of this 40 pc sample and find a large fraction of massive white dwarfs, indicating that we are successfully recovering the more massive, and less luminous objects often missed in other surveys. We also show that the 40 pc sample is dominated by cool and old white dwarfs, which populate the faint end of the luminosity function, although trigonometric parallaxes will be needed to shape this part of the luminosity function more accurately. Finally, we identify 4 probable members of the 20 pc sample, 4 suspected double degenerate binaries, and we also report the discovery of two new ZZ Ceti pulsators.

  9. A HERSCHEL AND APEX CENSUS OF THE REDDEST SOURCES IN ORION: SEARCHING FOR THE YOUNGEST PROTOSTARS

    SciTech Connect

    Stutz, Amelia M.; Robitaille, Thomas; Henning, Thomas; Krause, Oliver; Tobin, John J.; Stanke, Thomas; Megeath, S. Thomas; Fischer, William J.; Ali, Babar; Furlan, Elise; Hartmann, Lee; Osorio, Mayra; Wilson, Thomas L.; Allen, Lori; Manoj, P.

    2013-04-10

    We perform a census of the reddest, and potentially youngest, protostars in the Orion molecular clouds using data obtained with the PACS instrument on board the Herschel Space Observatory and the LABOCA and SABOCA instruments on APEX as part of the Herschel Orion Protostar Survey (HOPS). A total of 55 new protostar candidates are detected at 70 {mu}m and 160 {mu}m that are either too faint (m{sub 24} > 7 mag) to be reliably classified as protostars or undetected in the Spitzer/MIPS 24 {mu}m band. We find that the 11 reddest protostar candidates with log {lambda}F{sub {lambda}}70/{lambda}F{sub {lambda}}24 > 1.65 are free of contamination and can thus be reliably explained as protostars. The remaining 44 sources have less extreme 70/24 colors, fainter 70 {mu}m fluxes, and higher levels of contamination. Taking the previously known sample of Spitzer protostars and the new sample together, we find 18 sources that have log {lambda}F{sub {lambda}}70/{lambda}F{sub {lambda}}24 > 1.65; we name these sources 'PACS Bright Red sources', or PBRs. Our analysis reveals that the PBR sample is composed of Class 0 like sources characterized by very red spectral energy distributions (SEDs; T{sub bol} < 45 K) and large values of sub-millimeter fluxes (L{sub smm}/L{sub bol} > 0.6%). Modified blackbody fits to the SEDs provide lower limits to the envelope masses of 0.2-2 M{sub Sun} and luminosities of 0.7-10 L{sub Sun }. Based on these properties, and a comparison of the SEDs with radiative transfer models of protostars, we conclude that the PBRs are most likely extreme Class 0 objects distinguished by higher than typical envelope densities and hence, high mass infall rates.

  10. THE BARYON CENSUS IN A MULTIPHASE INTERGALACTIC MEDIUM: 30% OF THE BARYONS MAY STILL BE MISSING

    SciTech Connect

    Shull, J. Michael; Danforth, Charles W.; Smith, Britton D. E-mail: smit1685@msu.edu

    2012-11-01

    Although galaxies, groups, and clusters contain {approx}10% of the baryons, many more reside in the photoionized and shocked-heated intergalactic medium (IGM) and in the circumgalactic medium (CGM). We update the baryon census in the (H I) Ly{alpha} forest and warm-hot IGM (WHIM) at 10{sup 5-6} K traced by O VI {lambda}1032, 1038 absorption. From Enzo cosmological simulations of heating, cooling, and metal transport, we improve the H I and O VI baryon surveys using spatially averaged corrections for metallicity (Z/Z {sub Sun }) and ionization fractions (f {sub HI}, f {sub OVI}). Statistically, the O VI correction product correlates with column density, (Z/Z {sub Sun })f {sub OVI} Almost-Equal-To (0.015)(N {sub OVI}/10{sup 14} cm{sup -2}){sup 0.70}, with an N {sub OVI}-weighted mean of 0.01, which doubles previous estimates of WHIM baryon content. We also update the Ly{alpha} forest contribution to baryon density out to z = 0.4, correcting for the (1 + z){sup 3} increase in absorber density, the (1 + z){sup 4.4} rise in photoionizing background, and cosmological proper length dl/dz. We find substantial baryon fractions in the photoionized Ly{alpha} forest (28% {+-} 11%) and WHIM traced by O VI and broad-Ly{alpha} absorbers (25% {+-} 8%). The collapsed phase (galaxies, groups, clusters, CGM) contains 18% {+-} 4%, leaving an apparent baryon shortfall of 29% {+-} 13%. Our simulations suggest that {approx}15% reside in hotter WHIM (T {>=} 10{sup 6} K). Additional baryons could be detected in weaker Ly{alpha} and O VI absorbers. Further progress requires higher-precision baryon surveys of weak absorbers, down to minimum column densities N {sub HI} {>=} 10{sup 12.0} cm{sup -2}, N {sub OVI} {>=} 10{sup 12.5} cm{sup -2}, N {sub OVII} {>=} 10{sup 14.5} cm{sup -2}, using high signal-to-noise data from high-resolution UV and X-ray spectrographs.

  11. Solar Census„Perfecting the Art of Automated, Remote Solar Shading Assessments (Fact Sheet), NREL (National Renewable Energy Laboratory)

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Census Surveyor is an online tool that performs remote shading analysis and creates a fully articulated three-dimensional (3-D) model of the site. Surveyor uses state-of-the-art software and patented algorithms to provide a solar access value (SAV) for every one-foot- by-one-foot section of the roof. The 3-D data, high-resolution imagery, and shade data are all preprocessed and stored in a database that can be instantly accessed by the solar community given the address of the property. Figure 1

  12. Regional Purchasing

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Regional Partnerships Regional Partnerships DOE's Regional Carbon Sequestration Partnerships Program DOE has created a network of seven Regional Carbon Sequestration Partnerships (RCSPs) to help develop the technology, infrastructure, and regulations to implement large-scale CO2 storage (also called carbon sequestration) in different regions and geologic formations within the Nation. Collectively, the seven RCSPs represent regions encompassing: 97 percent of coal-fired CO2 emissions; 97 percent

  13. Consumption trend analysis in the industrial sector: Regional historical trends. Draft report (Final)

    SciTech Connect

    Not Available

    1981-05-01

    Data on the use of natural gas, electricity, distillate and residual fuel oil, coal, and purchased coke were collected from the United States Bureau of the Census and aggregated nationally and by Census Region. Trend profiles for each fuel and industry were developed and economic, regulatory, and regional factors contributing to these trends were examined. The recession that followed the OPEC embargo in 1973 affected the industrial sector and the heavily industrialized regions of the country most severely. Both industrial production and fuel consumption fell significantly in 1975. As production recovered, spiraling fuel prices promoted conservation efforts, and overall fuel consumption remained at pre-recession levels. From 1975 to 1977 natural gas consumption decreased in almost all the industries examined with curtailments of gas supplies contributing to this trend.

  14. Developing Poultry Facility Type Information from USDA Agricultural Census Data for Use in Epidemiological and Economic Models

    SciTech Connect

    Melius, C

    2007-12-05

    The epidemiological and economic modeling of poultry diseases requires knowing the size, location, and operational type of each poultry type operation within the US. At the present time, the only national database of poultry operations that is available to the general public is the USDA's 2002 Agricultural Census data, published by the National Agricultural Statistics Service, herein referred to as the 'NASS data'. The NASS data provides census data at the county level on poultry operations for various operation types (i.e., layers, broilers, turkeys, ducks, geese). However, the number of farms and sizes of farms for the various types are not independent since some facilities have more than one type of operation. Furthermore, some data on the number of birds represents the number sold, which does not represent the number of birds present at any given time. In addition, any data tabulated by NASS that could identify numbers of birds or other data reported by an individual respondent is suppressed by NASS and coded with a 'D'. To be useful for epidemiological and economic modeling, the NASS data must be converted into a unique set of facility types (farms having similar operational characteristics). The unique set must not double count facilities or birds. At the same time, it must account for all the birds, including those for which the data has been suppressed. Therefore, several data processing steps are required to work back from the published NASS data to obtain a consistent database for individual poultry operations. This technical report documents data processing steps that were used to convert the NASS data into a national poultry facility database with twenty-six facility types (7 egg-laying, 6 broiler, 1 backyard, 3 turkey, and 9 others, representing ducks, geese, ostriches, emus, pigeons, pheasants, quail, game fowl breeders and 'other'). The process involves two major steps. The first step defines the rules used to estimate the data that is suppressed

  15. An adaptive optics multiplicity census of young stars in Upper Scorpius

    SciTech Connect

    Lafrenière, David; Jayawardhana, Ray; Van Kerkwijk, Marten H.; Brandeker, Alexis; Janson, Markus

    2014-04-10

    We present the results of a multiplicity survey of 91 stars spanning masses of ∼0.2-10 M {sub ☉} in the Upper Scorpius star-forming region, based on adaptive optics imaging with the Gemini North telescope. Our observations identified 29 binaries, 5 triples, and no higher order multiples. The corresponding raw multiplicity frequency is 0.37 ± 0.05. In the regime where our observations are complete—companion separations of 0.''1-5'' (∼15-800 AU) with magnitude limits ranging from K < 9.3 at 0.''1 to K < 15.8 at 5''—the multiplicity frequency is 0.27{sub −0.04}{sup +0.05}. For similar separations, the multiplicity frequency in Upper Scorpius is comparable to that in other dispersed star-forming regions, but is a factor of two to three higher than in denser star-forming regions or in the field. Our sample displays a constant multiplicity frequency as a function of stellar mass. Among our sample of binaries, we find that both wider (>100 AU) and higher-mass systems tend to have companions with lower companion-to-primary mass ratios. Three of the companions identified in our survey are unambiguously substellar and have estimated masses below 0.04 M {sub ☉} (two of them are new discoveries from this survey—1RXS J160929.1–210524b and HIP 78530B—although we have reported them separately in earlier papers). These three companions have projected orbital separations of 300-900 AU. Based on a statistical analysis factoring in sensitivity limits, we calculate an occurrence rate of 5-40 M {sub Jup} companions of ∼4.0% for orbital separations of 250-1000 AU, compared to <1.8% at smaller separations, suggesting that such companions are more frequent on wider orbits.

  16. A MULTIPLICITY CENSUS OF INTERMEDIATE-MASS STARS IN SCORPIUS-CENTAURUS

    SciTech Connect

    Janson, Markus; Lafreniere, David; Jayawardhana, Ray; Bonavita, Mariangela; Girard, Julien H.; Brandeker, Alexis; Gizis, John E.

    2013-08-20

    Stellar multiplicity properties have been studied for the lowest and the highest stellar masses, but intermediate-mass stars from F-type to late A-type have received relatively little attention. Here, we report on a Gemini/NICI snapshot imaging survey of 138 such stars in the young Scorpius-Centaurus (Sco-Cen) region, for the purpose of studying multiplicity with sensitivity down to planetary masses at wide separations. In addition to two brown dwarfs and a companion straddling the hydrogen-burning limit which we reported previously, here we present 26 new stellar companions and determine a multiplicity fraction within 0.''1-5.''0 of 21% {+-} 4%. Depending on the adopted semimajor axis distribution, our results imply a total multiplicity in the range of {approx}60%-80%, which further supports the known trend of a smooth continuous increase in the multiplicity fraction as a function of primary stellar mass. A surprising feature in the sample is a distinct lack of nearly equal-mass binaries, for which we discuss possible reasons. The survey yielded no additional companions below or near the deuterium-burning limit, implying that their frequency at >200 AU separations is not quite as high as might be inferred from previous detections of such objects within the Sco-Cen region.

  17. Consumer Attitudes About Renewable Energy: Trends and Regional Differences

    SciTech Connect

    Natural Marketing Institute, Harleysville, Pennsylvania

    2011-04-01

    The data in this report are taken from Natural Marketing Institute's (NMI's) Lifestyles of Health and Sustainability Consumer Trends Database. Created in 2002, the syndicated consumer database contains responses from 2,000 to 4,000 nationally representative U.S. adults (meaning the demographics of the sample are consistent with U.S. Census findings) each year. NMI used the database to analyze consumer attitudes and behavior related to renewable energy and to update previously conducted related research. Specifically, this report will explore consumer awareness, concerns, perceived benefits, knowledge of purchase options, and usage of renewable energy as well as provide regional comparisons and trends over time.

  18. Consumer Attitudes About Renewable Energy. Trends and Regional Differences

    SciTech Connect

    Bird, Lori; Sumner, Jenny

    2011-04-01

    The data in this report are taken from Natural Marketing Institute's (NMI's) Lifestyles of Health and Sustainability Consumer Trends Database. Created in 2002, the syndicated consumer database contains responses from 2,000 to 4,000 nationally representative U.S. adults (meaning the demographics of the sample are consistent with U.S. Census findings) each year. NMI used the database to analyze consumer attitudes and behavior related to renewable energy and to update previously conducted related research. Specifically, this report will explore consumer awareness, concerns, perceived benefits, knowledge of purchase options, and usage of renewable energy as well as provide regional comparisons and trends over time.

  19. A wide-field near- and mid-infrared Census of young stars in NGC 6334

    SciTech Connect

    Willis, S.; Marengo, M.; Allen, L.; Fazio, G. G.; Smith, H. A.; Carey, S.

    2013-12-01

    This paper presents a study of the rate and efficiency of star formation in the NGC 6334 star-forming region. We obtained observations at J, H, and K{sub s} taken with the NOAO Extremely Wide-Field Infrared Imager and combined them with observations taken with the Infrared Array Camera (IRAC) on the Spitzer Space Telescope at wavelengths = 3.6, 4.5, 5.8, and 8.0 μm. We also analyzed previous observations taken at 24 μm using the Spitzer MIPS camera as part of the MIPSGAL survey. We have produced a point source catalog with >700, 000 entries. We have identified 2283 young stellar object (YSO) candidates, 375 Class I YSOs, and 1908 Class II YSOs using a combination of existing IRAC-based color classification schemes that we have extended and validated to the near-IR for use with warm Spitzer data. We have identified multiple new sites of ongoing star formation activity along filamentary structures extending tens of parsecs beyond the central molecular ridge of NGC 6334. By mapping the extinction, we derived an estimate for the gas mass, 2.2 × 10{sup 5} M {sub ☉}. The heavy concentration of protostars along the dense filamentary structures indicates that NGC 6334 may be undergoing a 'mini-starburst' event with Σ{sub SFR} > 8.2 M {sub ☉} Myr{sup –1} pc{sup –2} and SFE > 0.10. We have used these estimates to place NGC 6334 in the Kennicutt-Schmidt diagram to help bridge the gap between observations of local low-mass star-forming regions and star formation in other galaxies.

  20. The galactic census of high- and medium-mass protostars. II. Luminosities and evolutionary states of a complete sample of dense gas clumps

    SciTech Connect

    Ma, Bo; Tan, Jonathan C.; Barnes, Peter J.

    2013-12-10

    The Census of High- and Medium-mass Protostars (CHaMP) is the first large-scale (280° < l < 300°, –4° < b < 2°), unbiased, subparsec resolution survey of Galactic molecular clumps and their embedded stars. Barnes et al. presented the source catalog of ∼300 clumps based on HCO{sup +}(1-0) emission, used to estimate masses M. Here we use archival midinfrared-to-millimeter continuum data to construct spectral energy distributions. Fitting two-temperature gray-body models, we derive bolometric luminosities, L. We find that the clumps have 10 ≲ L/L {sub ☉} ≲ 10{sup 6.5} and 0.1 ≲ L/M/[L {sub ☉}/M {sub ☉}] ≲ 10{sup 3}, consistent with a clump population spanning a range of instantaneous star-formation efficiencies from 0 to ∼50%. We thus expect L/M to be a useful, strongly varying indicator of clump evolution during the star cluster formation process. We find correlations of the ratio of warm-to-cold component fluxes and of cold component temperature with L/M. We also find a near-linear relation between L/M and Spitzer-IRAC specific intensity (surface brightness); thus, this relation may also be useful as a star-formation efficiency indicator. The lower bound of the clump L/M distribution suggests that the star-formation efficiency per free-fall time is ε{sub ff} < 0.2. We do not find strong correlations of L/M with mass surface density, velocity dispersion, or virial parameter. We find a linear relation between L and L{sub HCO{sup +}(1--0)}, although with large scatter for any given individual clump. Fitting together with extragalactic systems, the linear relation still holds, extending over 10 orders of magnitude in luminosity. The complete nature of the CHaMP survey over a several kiloparsec-scale region allows us to derive a measurement at an intermediate scale, bridging those of individual clumps and whole galaxies.

  1. A9RB1B5.tmp

    Gasoline and Diesel Fuel Update

    Real Gross State Product (Billion $2009) New England ................ 863 871 866 868 871 874 877 881 885 888 892 896 867 876 890 Middle Atlantic .............. 2,412 2,441 2,456 2,458 2,460 2,470 2,483 2,493 2,500 2,512 2,524 2,533 2,442 2,477 2,517 E. N. Central ................. 2,248 2,255 2,275 2,279 2,281 2,288 2,296 2,304 2,315 2,325 2,336 2,344 2,264 2,292 2,330 W. N. Central ................ 1,054 1,057 1,059 1,059 1,056 1,059 1,063 1,068 1,073 1,079 1,084 1,089 1,057 1,062 1,081 S.

  2. AN INFRARED CENSUS OF DUST IN NEARBY GALAXIES WITH SPITZER (DUSTINGS). I. OVERVIEW

    SciTech Connect

    Boyer, Martha L.; Sonneborn, George; McQuinn, Kristen B. W.; Gehrz, Robert D.; Skillman, Evan; Barmby, Pauline; Bonanos, Alceste Z.; Gordon, Karl D.; Meixner, Margaret; Groenewegen, M. A. T.; Lagadec, Eric; Lennon, Daniel; Marengo, Massimo; Sloan, G. C.; Van Loon, Jacco Th.; Zijlstra, Albert

    2015-01-01

    Nearby resolved dwarf galaxies provide excellent opportunities for studying the dust-producing late stages of stellar evolution over a wide range of metallicity (–2.7 ≲ [Fe/H] ≲ –1.0). Here, we describe DUSTiNGS (DUST in Nearby Galaxies with Spitzer): a 3.6 and 4.5 μm post-cryogen Spitzer Space Telescope imaging survey of 50 dwarf galaxies within 1.5 Mpc that is designed to identify dust-producing asymptotic giant branch (AGB) stars and massive stars. The survey includes 37 dwarf spheroidal, 8 dwarf irregular, and 5 transition-type galaxies. This near-complete sample allows for the building of statistics on these rare phases of stellar evolution over the full metallicity range. The photometry is >75% complete at the tip of the red giant branch for all targeted galaxies, with the exception of the crowded inner regions of IC 10, NGC 185, and NGC 147. This photometric depth ensures that the majority of the dust-producing stars, including the thermally pulsing AGB stars, are detected in each galaxy. The images map each galaxy to at least twice the half-light radius to ensure that the entire evolved star population is included and to facilitate the statistical subtraction of background and foreground contamination, which is severe at these wavelengths. In this overview, we describe the survey, the data products, and preliminary results. We show evidence for the presence of dust-producing AGB stars in eight of the targeted galaxies, with metallicities as low as [Fe/H] = –1.9, suggesting that dust production occurs even at low metallicity.

  3. Regional Partnerships

    Energy.gov [DOE]

    DOE has created a network of seven Regional Carbon Sequestration Partnerships (RCSPs) to help develop the technology, infrastructure, and regulations to implement large-scale CO2 storage (also...

  4. THE GALACTIC CENSUS OF HIGH- AND MEDIUM-MASS PROTOSTARS. I. CATALOGS AND FIRST RESULTS FROM MOPRA HCO{sup +} MAPS

    SciTech Connect

    Barnes, Peter J.; Hernandez, Audra K.; O'Dougherty, Stefan N.; Tan, Jonathan C.; Yonekura, Yoshinori; Fukui, Yasuo; Miyamoto, Yosuke; Furukawa, Naoko; Miller, Andrew T.; Muehlegger, Martin; Agars, Lawrence C.; Papadopoulos, George; Jones, Scott L.

    2011-09-01

    The Census of High- and Medium-mass Protostars (CHaMP) is the first large-scale, unbiased, uniform mapping survey at sub-parsec-scale resolution of 90 GHz line emission from massive molecular clumps in the Milky Way. We present the first Mopra (ATNF) maps of the CHaMP survey region (300{sup 0} > l > 280{sup 0}) in the HCO{sup +} J = 1 {yields} 0 line, which is usually thought to trace gas at densities up to 10{sup 11} m{sup -3}. In this paper, we introduce the survey and its strategy, describe the observational and data reduction procedures, and give a complete catalog of moment maps of the HCO{sup +} J = 1{yields}0 emission from the ensemble of 303 massive molecular clumps. From these maps we also derive the physical parameters of the clumps, using standard molecular spectral-line analysis techniques. This analysis yields the following range of properties: integrated line intensity 1-30 K km s{sup -1}, peak line brightness 1-7 K, linewidth 1-10 km s{sup -1}, integrated line luminosity 0.5-200 K km s{sup -1} pc{sup 2}, FWHM size 0.2-2.5 pc, mean projected axial ratio 2, optical depth 0.08-2, total surface density 30-3000 M{sub sun} pc{sup -2}, number density (0.2-30) x 10{sup 9} m{sup -3}, mass 15-8000 M{sub sun}, virial parameter 1-55, and total gas pressure 0.3-700 pPa. We find that the CHaMP clumps do not obey a Larson-type size-linewidth relation. Among the clumps, there exists a large population of subthermally excited, weakly emitting (but easily detectable) dense molecular clumps, confirming the prediction of Narayanan et al. These weakly emitting clumps comprise 95% of all massive clumps by number, and 87% of the molecular mass, in this portion of the Galaxy; their properties are distinct from the brighter massive star-forming regions that are more typically studied. If the clumps evolve by slow contraction, the 95% of fainter clumps may represent a long-lived stage of pressure-confined, gravitationally stable massive clump evolution, while the CHaMP clump

  5. Longwall census '82

    SciTech Connect

    Sprouls, M.W.

    1982-12-01

    Surveys the number of operating longwall systems in the US in 1982. Active longwall systems totalled 112, with 22 companies operating faces in 11 states. Tables list the number of longwalls for each of the top 12 longwall mining companies, and the number of longwalls in each state. The most sophisticated type of longwall roof supports, shields, now comprise 93 of US longwall installations. The most sophisticated type of cutting machines, the double-ended-rangingdrum shearer (DERS) dominates. The survey also shows a trend for operators to purchase stage loaders with crusher/breakers. The crushers eliminate problems with chunks of material at conveyor transfer points. Concludes that the longwall's future in the US looks bright.

  6. Regional Information

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Regional Information There is plenty to do and see in the cities of Golden and Denver, Colorado. Here you'll find links to general information about these areas, plus hospitals, local universities and colleges, entertainment, sports, amusement parks, and more. Golden City of Golden Golden's 2-Hour Vacation Denver www.denver.com www.denver.org Denver Public Library Colorado State of Colorado Colorado tourism Transportation (Bus and Light Rail) RTD Hospitals Largest Hospitals in Metro Denver

  7. Developing Livestock Facility Type Information from USDA Agricultural Census Data for Use in Epidemiological and Economic Models

    SciTech Connect

    Melius, C; Robertson, A; Hullinger, P

    2006-10-24

    The epidemiological and economic modeling of livestock diseases requires knowing the size, location, and operational type of each livestock facility within the US. At the present time, the only national database of livestock facilities that is available to the general public is the USDA's 2002 Agricultural Census data, published by the National Agricultural Statistics Service, herein referred to as the 'NASS data.' The NASS data provides facility data at the county level for various livestock types (i.e., beef cows, milk cows, cattle on feed, other cattle, total hogs and pigs, sheep and lambs, milk goats, and angora goats). However, the number and sizes of facilities for the various livestock types are not independent since some facilities have more than one type of livestock, and some livestock are of more than one type (e.g., 'other cattle' that are being fed for slaughter are also 'cattle on feed'). In addition, any data tabulated by NASS that could identify numbers of animals or other data reported by an individual respondent is suppressed by NASS and coded with a 'D.'. To be useful for epidemiological and economic modeling, the NASS data must be converted into a unique set of facility types (farms having similar operational characteristics). The unique set must not double count facilities or animals. At the same time, it must account for all the animals, including those for which the data has been suppressed. Therefore, several data processing steps are required to work back from the published NASS data to obtain a consistent database for individual livestock operations. This technical report documents data processing steps that were used to convert the NASS data into a national livestock facility database with twenty-eight facility types. The process involves two major steps. The first step defines the rules used to estimate the data that is suppressed within the NASS database. The second step converts the NASS livestock types into the operational facility

  8. ECOWAS … GBEP REGIONAL BIOMASS RESOURCE ASSESSMENT WORKSHOP

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    ... (yields, acres, crop prices, production, exports, etc.) to 2030 - Census of Agriculture data - National Agricultural Statistics Service data - 10-year Commodity Outlook ...

  9. Level: National and Regional Data; Row: Values of Shipments and...

    Gasoline and Diesel Fuel Update

    ... Energy Consumption Division, Form EIA-846, '2006 Manufacturing Energy Consumption Survey,' and the Bureau of the Census, data files for the '2006 Annual Survey of Manufacturers

  10. Regional Education Partners

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Regional Education Partners Regional Education Partners One of the Laboratory's STEM education objectives is centered on strengthening the future workforce of Northern New Mexico...

  11. U.S. Regional Demand Forecasts Using NEMS and GIS

    SciTech Connect

    Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

    2005-07-01

    The National Energy Modeling System (NEMS) is a multi-sector, integrated model of the U.S. energy system put out by the Department of Energy's Energy Information Administration. NEMS is used to produce the annual 20-year forecast of U.S. energy use aggregated to the nine-region census division level. The research objective was to disaggregate this regional energy forecast to the county level for select forecast years, for use in a more detailed and accurate regional analysis of energy usage across the U.S. The process of disaggregation using a geographic information system (GIS) was researched and a model was created utilizing available population forecasts and climate zone data. The model's primary purpose was to generate an energy demand forecast with greater spatial resolution than what is currently produced by NEMS, and to produce a flexible model that can be used repeatedly as an add-on to NEMS in which detailed analysis can be executed exogenously with results fed back into the NEMS data flow. The methods developed were then applied to the study data to obtain residential and commercial electricity demand forecasts. The model was subjected to comparative and statistical testing to assess predictive accuracy. Forecasts using this model were robust and accurate in slow-growing, temperate regions such as the Midwest and Mountain regions. Interestingly, however, the model performed with less accuracy in the Pacific and Northwest regions of the country where population growth was more active. In the future more refined methods will be necessary to improve the accuracy of these forecasts. The disaggregation method was written into a flexible tool within the ArcGIS environment which enables the user to output the results in five year intervals over the period 2000-2025. In addition, the outputs of this tool were used to develop a time-series simulation showing the temporal changes in electricity forecasts in terms of absolute, per capita, and density of demand.

  12. Regional Energy Efficiency Programs

    Energy.gov [DOE]

    This presentation covers regional industrial energy efficiency programs in the Midwest, Southeast, and Southwest.

  13. Housing Archetype Analysis for Home Energy-Efficient Retrofit in the Great Lakes Region

    SciTech Connect

    Kim, S. K.; Mrozowski, T.; Harrell-Seyburn, A.; Ehrlich, N.; Hembroff, L.; Bieburn, B.; Mazor, M.; McIntyre, A.; Mutton, C.; Parsons, G.; Syal, M. G.; Wilkinson, R.

    2014-09-01

    This project report details activities and results of the 'Market Characterization' project undertaken by the Cost Effective Energy Retrofit (CEER) team targeted toward the DOE goal of achieving 30%-50% reduction in existing building energy use. CEER consists of members from the Dow Chemical Company, Michigan State University, Ferris State University and Habitat for Humanity Kent County. The purpose of this market characterization project was to identify housing archetypes which are dominant within Great Lakes region and therefore offer significant potential for energy-efficient retrofit research and implementation due to the substantial number of homes possessing similar characteristics. Understanding the characteristics of housing groups referred to as 'archetypes' by vintage, style, and construction characteristics can allow research teams to focus their retrofit research and develop prescriptive solutions for those structure types which are prevalent and offer high potential uptake within a region or market. Key research activities included; literature review, statistical analysis of national and regional data of the American Housing Survey (AHS) collected by the U.S. Census Bureau, analysis of Michigan specific data, development of a housing taxonomy of architectural styles, case studies of two local markets (i.e., Ann Arbor and Grand Rapids in Michigan) and development of a suggested framework (or process) for characterizing local markets. In order to gain a high level perspective, national and regional data from the U.S. Census Bureau was analyzed using cross tabulations, multiple regression models, and logistic regression to characterize the housing stock and determine dominant house types using 21 variables.

  14. US prep plant census 2008

    SciTech Connect

    Fiscor, S.

    2008-10-15

    Each year Coal Age conducts a fairly comprehensive survey of the industry to produce the US coal preparation plant survey. This year's survey shows how many mergers and acquisitions have given coal operators more coal washing capacity. The plants are tabulated by state, giving basic details including company owner, plant name, raw feed, product ash %, quality, type of plant builder and year built. 1 tab., 1 photo.

  15. Regional Education Partners

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Regional Education Partners Regional Education Partners One of the Laboratory's STEM education objectives is centered on strengthening the future workforce of Northern New Mexico and the Laboratory through effective partnerships with regional secondary and higher education organizations, businesses and industry. Contact Executive Office Director Kathy Keith Community Partnerships Office (505) 665-4400 Email Regional Partners Charlie McMillan talking with Rick Ulibarri and Dr. Fries, President of

  16. NASEO Midwest Regional Meeting

    Energy.gov [DOE]

    The National Association of State Energy Officials (NASEO) is hosting its Midwest Regional Meeting in Des Moines, Iowa.

  17. A CENSUS OF MID-INFRARED-SELECTED ACTIVE GALACTIC NUCLEI IN MASSIVE GALAXY CLUSTERS AT 0 {approx}< z {approx}< 1.3

    SciTech Connect

    Tomczak, Adam R.; Tran, Kim-Vy H.; Saintonge, Amelie

    2011-09-01

    We conduct a deep mid-infrared (mid-IR) census of nine massive galaxy clusters at (0 < z < 1.3) with a total of {approx}1500 spectroscopically confirmed member galaxies using Spitzer/IRAC photometry and established mid-IR color selection techniques. Of the 949 cluster galaxies that are detected in at least three of the four IRAC channels at the {>=}3{sigma} level, we identify 12 that host mid-IR-selected active galactic nuclei (IR-AGNs). To compare the IR-AGNs across our redshift range, we define two complete samples of cluster galaxies: (1) optically selected members with rest-frame V{sub AB} magnitude < - 21.5 and (2) mid-IR-selected members brighter than (M*{sub 3.6} + 0.5), i.e., essentially a stellar mass cut. In both samples, we measure f{sub IR-AGN} {approx} 1% with a strong upper limit of {approx}3% at z < 1. This uniformly low IR-AGN fraction at z < 1 is surprising given that the fraction of 24 {mu}m sources in the same galaxy clusters is observed to increase by about a factor of four from z {approx} 0 to z {approx} 1; this indicates that most of the detected 24 {mu}m flux is due to star formation. Only in our single galaxy cluster at z = 1.24 is the IR-AGN fraction measurably higher at {approx}15% (all members; {approx}70% for late-types only). In agreement with recent studies, we find that the cluster IR-AGNs are predominantly hosted by late-type galaxies with blue optical colors, i.e., members with recent/ongoing star formation. The four brightest IR-AGNs are also X-ray sources; these IR+X-ray AGNs all lie outside the cluster core (R{sub proj} {approx}> 0.5 Mpc) and are hosted by highly morphologically disturbed members. Although our sample is limited, our results suggest that f{sub IR-AGN} in massive galaxy clusters is not strongly correlated with star formation at z < 1 and that IR-AGNs have a more prominent role at z {approx}> 1.

  18. CENSUS AND STATISTICAL CHARACTERIZATION OF SOIL AND WATER QUALITY AT ABANDONED AND OTHER CENTRALIZED AND COMMERCIAL DRILLING-FLUID DISPOSAL SITES IN LOUISIANA, NEW MEXICO, OKLAHOMA, AND TEXAS

    SciTech Connect

    Alan R. Dutton; H. Seay Nance

    2003-06-01

    Commercial and centralized drilling-fluid disposal (CCDD) sites receive a portion of spent drilling fluids for disposal from oil and gas exploration and production (E&P) operations. Many older and some abandoned sites may have operated under less stringent regulations than are currently enforced. This study provides a census, compilation, and summary of information on active, inactive, and abandoned CCDD sites in Louisiana, New Mexico, Oklahoma, and Texas, intended as a basis for supporting State-funded assessment and remediation of abandoned sites. Closure of abandoned CCDD sites is within the jurisdiction of State regulatory agencies. Sources of data used in this study on abandoned CCDD sites mainly are permit files at State regulatory agencies. Active and inactive sites were included because data on abandoned sites are sparse. Onsite reserve pits at individual wells for disposal of spent drilling fluid are not part of this study. Of 287 CCDD sites in the four States for which we compiled data, 34 had been abandoned whereas 54 were active and 199 were inactive as of January 2002. Most were disposal-pit facilities; five percent were land treatment facilities. A typical disposal-pit facility has fewer than 3 disposal pits or cells, which have a median size of approximately 2 acres each. Data from well-documented sites may be used to predict some conditions at abandoned sites; older abandoned sites might have outlier concentrations for some metal and organic constituents. Groundwater at a significant number of sites had an average chloride concentration that exceeded nonactionable secondary drinking water standard of 250 mg/L, or a total dissolved solids content of >10,000 mg/L, the limiting definition for underground sources of drinking water source, or both. Background data were lacking, however, so we did not determine whether these concentrations in groundwater reflected site operations. Site remediation has not been found necessary to date for most abandoned

  19. Categorical Exclusion Determinations: B5.21 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    on or contiguous to an existing landfill or wastewater treatment plant that would not have the potential to cause a significant increase in the quantity or rate of air emissions. ...

  20. --No Title--

    Energy Information Administration (EIA) (indexed site)

    Appendix A. 1989 CBECS Data File Documentation File 3: Operating Hours and Weather ... CASEID Building identifier BLDGID4 1- 5 Census region REGION4 7- 7 REGION. Census ...

  1. --No Title--

    Energy Information Administration (EIA) (indexed site)

    File 13: Imputation Flags for Summary Data, Building Activity, Operating Hours, Shell, and ... CASEID Building identifier BLDGID4 1- 5 Census region REGION4 7- 7 REGION. Census ...

  2. Western Regional Partnership Overview

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Regional Partnership Overview June 2013 Briefing Overview  WRP Background  Importance of Region  WRP Tribal Relations Committee  WRP Energy Committee WRP Region's Uniqueness  5 states stretching from the Great Plains to the Pacific Ocean  Diverse terrain ranging from desert valleys to forested mountains  Significant State Trust Landholdings  Approximately 188 Federally recognized Tribes  Significant amounts of Federally managed land  According to GSA 2004 study, WRP

  3. Level: National and Regional Data; Row: Values of Shipments and...

    Energy Information Administration (EIA) (indexed site)

    ... of Oil and Gas, Petroleum Supply Division, Form EIA-810, 'Monthly Refinery Report' for 2006, and the Bureau of the Census, data files for the '2006 Annual Survey of Manufacturers.

  4. Level: National and Regional Data; Row: Values of Shipments and...

    Energy Information Administration (EIA) (indexed site)

    ... of Oil and Gas, Petroleum Supply Division, Form EIA-810, 'Monthly Refinery Report' for 2006, and the Bureau of the Census, data files for the '2006 Annual Survey of Manufacturers.'

  5. Regional Workforce Study - SRSCRO

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    delved into four of the region's key economic drivers - nuclear, manufacturing, cybersecurityIT, and healthcare. TIP Strategies conducted a comprehensive analysis of the...

  6. Regional Energy Planning

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Hydroelectric Reciprocating Internal Combustion Engine Fossil Fuel Turbines Alaska Energy Statistics, 2011 4 Energy Costs Vary 5 Regional Energy Planning * Energy Pathways led to ...

  7. ERHIC INTERACTION REGION DESIGN.

    SciTech Connect

    MONTAG,C.PARKER,B.PTITSYN,V.TEPIKIAN,S.WANG,D.WANG,F.

    2003-10-13

    This paper presents the current interaction region design status of the ring-ring version of the electron-ion collider eRHIC (release 2.0).

  8. CEMI Western Regional Summit

    Energy.gov [DOE]

    Please Join Assistant Secretary of Energy Dr. David Danielson for the Clean Energy Manufacturing Initiative's Western Regional Summit. Register now for this free event.

  9. Regional Analysis Briefs

    Reports and Publications

    2028-01-01

    Regional Analysis Briefs (RABs) provide an overview of specific regions that play an important role in world energy markets, either directly or indirectly. These briefs cover areas that are currently major producers (Caspian Sea), have geopolitical importance (South China Sea), or may have future potential as producers or transit areas (East Africa, Eastern Mediterranean).

  10. THE GREEN BANK TELESCOPE H II REGION DISCOVERY SURVEY. II. THE SOURCE CATALOG

    SciTech Connect

    Anderson, L. D.; Bania, T. M.; Balser, Dana S.; Rood, Robert T.

    2011-06-01

    The Green Bank Telescope (GBT) H II Region Discovery Survey has doubled the number of known H II regions in the Galactic zone 343{sup 0} {<=} l {<=} 67{sup 0} with | b | {<=} 1{sup 0}. We detected 603 discrete hydrogen radio recombination line (RRL) components at 9 GHz (3 cm) from 448 targets. Our targets were selected based on spatially coincident mid-infrared and 20 cm radio continuum emission. Such sources are almost invariably H II regions; we detected hydrogen RRL emission from 95% of our target sample. The sensitivity of the GBT and the power of its spectrometer together made this survey possible. Here, we provide a catalog of the measured properties of the RRL and continuum emission from the survey nebulae. The derived survey completeness limit, 180 mJy at 9 GHz, is sufficient to detect all H II regions ionized by single O-stars to a distance of 12 kpc. These recently discovered nebulae share the same distribution on the sky as does the previously known census of Galactic H II regions. On average, however, the new nebulae have fainter continuum fluxes, smaller continuum angular sizes, fainter RRL intensities, and smaller RRL line widths. Though small in angular size, many of our new nebulae show little spatial correlation with tracers associated with extremely young H II regions, implying that our sample spans a range of evolutionary states. We discovered 34 first quadrant negative-velocity H II regions, which lie at extreme distances from the Sun and appear to be part of the Outer Arm. We found RRL emission from 208 Spitzer GLIMPSE 8.0 {mu}m 'bubble' sources, 65 of which have been cataloged previously. It thus appears that nearly all GLIMPSE bubbles are H II regions and that {approx}50% of all Galactic H II regions have a bubble morphology at 8.0 {mu}m.

  11. Regional Science Bowl

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    January » Regional Science Bowl Regional Science Bowl WHEN: Jan 23, 2016 8:00 AM - 5:00 PM WHERE: Highland High School 4700 Coal SE, Albuquerque, NM CONTACT: Janelle Vigil-Maestas (505) 665-4329 CATEGORY: Community INTERNAL: Calendar Login Event Description Five teams from Northern New Mexico area schools are among 16 participating in the middle school Regional Science Bowl competition. Northern area teams participating are from Los Alamos, Española, Cuba and Santa Fe. The winning team at this

  12. Delineating coal market regions

    SciTech Connect

    Solomon, B.D.; Pyrdol, J.J.

    1986-04-01

    This study addresses the delineation of US coal market regions and their evolution since the 1973 Arab oil embargo. Dichotomizing into compliance (low sulfur) and high sulfur coal deliveries, market regions are generated for 1973, 1977, and 1983. Focus is restricted to steam coal shipments to electric utilities, which currently account for over 80% of the total domestic market. A two-stage method is used. First, cluster analyses are performed on the origin-destination shipments data to generate baseline regions. This is followed by multiple regression analyses on CIF delivered price data for 1983. Sensitivity analysis on the configuration of the regions is also conducted, and some thoughts on the behavior of coal markets conclude the paper. 37 references, 6 figures, 2 tables.

  13. Regional Standards Enforcement

    Energy.gov [DOE]

    Central air conditioners are now subject to a base national standard in the North and different, regional standards in the Southeast and Southwest. This page provides information about those standards and how DOE enforces them.

  14. Regional Carbon Sequestration Partnerships

    Office of Energy Efficiency and Renewable Energy (EERE)

    DOE has created a network of seven Regional Carbon Sequestration Partnerships (RCSPs) to help develop the technology, infrastructure, and regulations to implement large-scale CO2 storage (also...

  15. CEMI Southeast Regional Summit

    Energy.gov [DOE]

    As part of the Clean Energy Manufacturing Initiative (CEMI), the U.S. Department of Energy (DOE) organizes regional summits around the country to expand its partnerships, share resources and...

  16. Regional companies eye growth

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Regional companies eye growth Regional companies eye growth Adaptive Radio Technologies, Los Alamos Visualization Associates, Mesa Tech International Inc., and ThermaSun Inc. were awarded from the Venture Acceleration Fund. August 21, 2009 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new

  17. Northeast Regional Biomass Program

    SciTech Connect

    Lusk, P.D.

    1992-12-01

    The Northeast Regional Biomass Program has been in operation for a period of nine years. During this time, state managed programs and technical programs have been conducted covering a wide range of activities primarily aim at the use and applications of wood as a fuel. These activities include: assessments of available biomass resources; surveys to determine what industries, businesses, institutions, and utility companies use wood and wood waste for fuel; and workshops, seminars, and demonstrations to provide technical assistance. In the Northeast, an estimated 6.2 million tons of wood are used in the commercial and industrial sector, where 12.5 million cords are used for residential heating annually. Of this useage, 1504.7 mw of power has been generated from biomass. The use of wood energy products has had substantial employment and income benefits in the region. Although wood and woodwaste have received primary emphasis in the regional program, the use of municipal solid waste has received increased emphasis as an energy source. The energy contribution of biomass will increase as potentia users become more familiar with existing feedstocks, technologies, and applications. The Northeast Regional Biomass Program is designed to support region-specific to overcome near-term barriers to biomass energy use.

  18. NV PFA Regional Data

    SciTech Connect

    James Faulds

    2015-10-28

    This project focused on defining geothermal play fairways and development of a detailed geothermal potential map of a large transect across the Great Basin region (96,000 km2), with the primary objective of facilitating discovery of commercial-grade, blind geothermal fields (i.e. systems with no surface hot springs or fumaroles) and thereby accelerating geothermal development in this promising region. Data included in this submission consists of: structural settings (target areas, recency of faulting, slip and dilation potential, slip rates, quality), regional-scale strain rates, earthquake density and magnitude, gravity data, temperature at 3 km depth, permeability models, favorability models, degree of exploration and exploration opportunities, data from springs and wells, transmission lines and wilderness areas, and published maps and theses for the Nevada Play Fairway area.

  19. 1995 CECS C&E Tables

    Energy Information Administration (EIA) (indexed site)

    and Gross Energy Intensity by Census Region for Sum of Major Fuels, 1995 Table 11. Electricity Consumption and Conditional Energy Intensity by Census Region, 1995 Table 22....

  20. Microsoft Word - Instructions for Sample Monthly Report Forms...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    : U.S. Geographic Areas and Census Regions Census Region 1: Northeast Area Division I: New England Division 2: Middle Atlantic Connecticut Maine Massachusetts New Hampshire Rhode...

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

    Gasoline and Diesel Fuel Update

    2001 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing characteristics ... PDF UrbanRural Location PDF Northeast Census Region PDF Midwest Census Region PDF ...

  2. Agricultural production in the United States by county: a compilation of information from the 1974 census of agriculture for use in terrestrial food-chain transport and assessment models

    SciTech Connect

    Shor, R.W.; Baes, C.F. III; Sharp, R.D.

    1982-01-01

    Terrestrial food-chain models that simulate the transport of environmentally released radionuclides incorporate parameters describing agricultural production and practice. Often a single set of default parameters, such as that listed in USNRC Regulatory Guide 1.109, is used in lieu of site-specific information. However, the geographical diversity of agricultural practice in the United States suggests the limitations of a single set of default parameters for assessment models. This report documents default parameters with a county-wide resolution based on analysis of the 1974 US Census of Agriculture for use in terrestrial food chain models. Data reported by county, together with state-based information from the US Department of Agriculture, Economic and Statistics Service, provided the basis for estimates of model input parameters. This report also describes these data bases, their limitations, and lists default parameters by county. Vegetable production is described for four categories: leafy vegetables; vegetables and fruits exposed to airborne material; vegetables, fruits, and nuts protected from airborne materials; and grains. Livestock feeds were analyzed in categories of hay, silage, pasture, and grains. Pasture consumption was estimated from cattle and sheep inventories, their feed requirements, and reported quantities of harvested forage. The results were compared with assumed yields of the pasture areas reported. In addition, non-vegetable food production estimates including milk, beef, pork, lamb, poultry, eggs, goat milk, and honey are described. The agricultural parameters and land use information - in all 47 items - are tabulated in four appendices for each of the 3067 counties of the US reported to the Census of Agriculture, excluding those in Hawaii and Alaska.

  3. Pennsylvania Regional Infrastructure Project

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CTC Team 1 Pennsylvania Regional Infrastructure Project Presentation by: The Concurrent Technologies Corporation (CTC) Team January 6, 2004 The CTC Team 2 Presentation Outline Introduction of CTC Team CTC Background Technical Approach - CTC Team Member Presentations Conclusions The CTC Team 3 The CTC Project Team Concurrent Technologies Corporation Program Management and Coordination Hydrogen Delivery and Storage Material Development Hydrogen Sensors Concurrent Technologies Corporation Program

  4. h:prjq496 ext intext.pdf

    Gasoline and Diesel Fuel Update

    0a. Usage Indicators by Midwest Census Region, Million U.S. Households, 2001 ____________________________________________________________________________________________ | | | | | Midwest Census Region | | |___________________________________| | | | | | | | Census Division | | | |_______________________| | | | | | | Total | | East North| West North| Usage Indicators | U.S. | Total | Central | Central | |___________|___________|___________|___________| RSE | | | | | Row RSE Column Factor: | 0.5 |

  5. file://C:\Documents%20and%20Settings\VM3\My%20Documents\hc6-10a

    Energy Information Administration (EIA) (indexed site)

    0a. Usage Indicators by Midwest Census Region, Million U.S. Households, 2001 ____________________________________________________________________________________________ | | | | | Midwest Census Region | | |___________________________________| | | | | | | | Census Division | | | |_______________________| | | | | | | Total | | East North| West North| Usage Indicators | U.S. | Total | Central | Central | |___________|___________|___________|___________| RSE | | | | | Row RSE Column Factor: | 0.5 |

  6. file://C:\Documents%20and%20Settings\VM3\My%20Documents\hc6-11a

    Energy Information Administration (EIA) (indexed site)

    1a. Usage Indicators by South Census Region, Million U.S. Households, 2001 ______________________________________________________________________________________________ | | | | | South Census Region | | |_______________________________________| | | | | | | | Census Division | | | |_____________________________| | | | | | | | | | | East | West | | Total | | South | South | South | Usage Indicators | U.S. | Total | Atlantic| Central | Central | |_________|_________|_________|_________|_________|

  7. Regions for Select Spot Prices

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    are used to represent the following regions: Region Gas Point Used Power Point Used New England Algonquin Citygate Massachusetts Hub (ISONE) New York City Transco Zone 6-NY...

  8. Introduction: Regional Dialogue Contract Templates

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Introduction: Regional Dialogue Contract Templates October 17, 2007 1. Summary * BPA invites comments on the first draft of the Regional Dialogue Master Template by Friday,...

  9. Groundwater in the Regional Aquifer

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Groundwater in the Regional Aquifer Groundwater in the Regional Aquifer LANL maintains an ... August 1, 2013 Conceptual model of water movement and geology at Los Alamos National ...

  10. Regional Shelter Analysis Methodology

    SciTech Connect

    Dillon, Michael B.; Dennison, Deborah; Kane, Jave; Walker, Hoyt; Miller, Paul

    2015-08-01

    The fallout from a nuclear explosion has the potential to injure or kill 100,000 or more people through exposure to external gamma (fallout) radiation. Existing buildings can reduce radiation exposure by placing material between fallout particles and exposed people. Lawrence Livermore National Laboratory was tasked with developing an operationally feasible methodology that could improve fallout casualty estimates. The methodology, called a Regional Shelter Analysis, combines the fallout protection that existing buildings provide civilian populations with the distribution of people in various locations. The Regional Shelter Analysis method allows the consideration of (a) multiple building types and locations within buildings, (b) country specific estimates, (c) population posture (e.g., unwarned vs. minimally warned), and (d) the time of day (e.g., night vs. day). The protection estimates can be combined with fallout predictions (or measurements) to (a) provide a more accurate assessment of exposure and injury and (b) evaluate the effectiveness of various casualty mitigation strategies. This report describes the Regional Shelter Analysis methodology, highlights key operational aspects (including demonstrating that the methodology is compatible with current tools), illustrates how to implement the methodology, and provides suggestions for future work.

  11. A Census of X-ray gas in NGC 1068: Results from 450 ks of Chandra high energy transmission grating observations

    SciTech Connect

    Kallman, T.; Evans, Daniel A.; Marshall, H.; Canizares, C.; Nowak, M.; Schulz, N.; Longinotti, A.

    2014-01-10

    We present models for the X-ray spectrum of the Seyfert 2 galaxy NGC 1068. These are fitted to data obtained using the High Energy Transmission Grating on Chandra. The data show line and radiative recombination continuum emission from a broad range of ions and elements. The models explore the importance of excitation processes for these lines including photoionization followed by recombination, radiative excitation by absorption of continuum radiation, and inner shell fluorescence. The models show that the relative importance of these processes depends on the conditions in the emitting gas and that no single emitting component can fit the entire spectrum. In particular, the relative importance of radiative excitation and photoionization/recombination differs according to the element and ion stage emitting the line. This in turn implies a diversity of values for the ionization parameter of the various components of gas responsible for the emission, ranging from log(ξ) = 1 to 3. Using this, we obtain an estimate for the total amount of gas responsible for the observed emission. The mass flux through the region included in the HETG extraction region is approximately 0.3 M {sub ☉} yr{sup –1}, assuming ordered flow at the speed characterizing the line widths. This can be compared with what is known about this object from other techniques.

  12. Colorado Regional Faults

    SciTech Connect

    Hussein, Khalid

    2012-02-01

    Citation Information: Originator: Earth Science &Observation Center (ESOC), CIRES, University of Colorado at Boulder Originator: Colorado Geological Survey (CGS) Publication Date: 2012 Title: Regional Faults Edition: First Publication Information: Publication Place: Earth Science & Observation Center, Cooperative Institute for Research in Environmental Science, University of Colorado, Boulder Publisher: Earth Science &Observation Center (ESOC), CIRES, University of Colorado at Boulder Description: This layer contains the regional faults of Colorado Spatial Domain: Extent: Top: 4543192.100000 m Left: 144385.020000 m Right: 754585.020000 m Bottom: 4094592.100000 m Contact Information: Contact Organization: Earth Science &Observation Center (ESOC), CIRES, University of Colorado at Boulder Contact Person: Khalid Hussein Address: CIRES, Ekeley Building Earth Science & Observation Center (ESOC) 216 UCB City: Boulder State: CO Postal Code: 80309-0216 Country: USA Contact Telephone: 303-492-6782 Spatial Reference Information: Coordinate System: Universal Transverse Mercator (UTM) WGS’1984 Zone 13N False Easting: 500000.00000000 False Northing: 0.00000000 Central Meridian: -105.00000000 Scale Factor: 0.99960000 Latitude of Origin: 0.00000000 Linear Unit: Meter Datum: World Geodetic System 1984 (WGS ’984) Prime Meridian: Greenwich Angular Unit: Degree Digital Form: Format Name: Shape file

  13. Coal-Producing Region

    Energy Information Administration (EIA) (indexed site)

    . Coal Production by State (thousand short tons) Year to Date Coal-Producing Region and State April - June 2016 January - March 2016 April - June 2015 2016 2015 Percent Change Alabama 2,223 2,446 3,504 4,669 7,561 -38.2 Alaska 228 310 345 538 610 -11.9 Arizona 1,235 1,335 1,912 2,569 3,667 -29.9 Arkansas 15 11 27 27 48 -44.9 Colorado 3,081 2,482 5,078 5,564 10,341 -46.2 Illinois 11,125 11,312 13,391 22,437 30,221 -25.8 Indiana 6,963 7,224 8,577 14,187 18,040 -21.4 Kansas - 27 49 27 102 -73.9

  14. Strengthening regional safeguards

    SciTech Connect

    Palhares, L.; Almeida, G.; Mafra, O.

    1996-08-01

    Nuclear cooperation between Argentina and Brazil has been growing since the early 1980`s and as it grew, so did cooperation with the US Department of Energy (DOE). The Brazilian-Argentine Agency for Accounting and Control of Nuclear Materials (ABACC) was formed in December 1991 to operate the Common System of Accounting and Control of Nuclear Materials (SCCC). In April 1994, ABACC and the DOE signed an Agreement of Cooperation in nuclear material safeguards. This cooperation has included training safeguards inspectors, exchanging nuclear material measurement and containment and surveillance technology, characterizing reference materials, and studying enrichment plant safeguards. The goal of the collaboration is to exchange technology, evaluate new technology in Latin American nuclear facilities, and strengthen regional safeguards. This paper describes the history of the cooperation, its recent activities, and future projects. The cooperation is strongly supported by all three governments: the Republics of Argentina and Brazil and the United States.

  15. Mr. W. Librirzi Regional Superfund Office EPA Region II

    Office of Legacy Management (LM)

    W. Librirzi Regional Superfund Office EPA Region II 4th Floor 26 Federal Plaza New York, ... Steel Corporation H. Snyder, EPA HQS T. DeBore, NYS Energy Office Y. Ogden, Commerce Dept. ...

  16. Emission measure distribution for diffuse regions in solar active regions

    SciTech Connect

    Subramanian, Srividya; Tripathi, Durgesh; Klimchuk, James A.; Mason, Helen E.

    2014-11-01

    Our knowledge of the diffuse emission that encompasses active regions is very limited. In this paper we investigate two off-limb active regions, namely, AR 10939 and AR 10961, to probe the underlying heating mechanisms. For this purpose, we have used spectral observations from Hinode/EIS and employed the emission measure (EM) technique to obtain the thermal structure of these diffuse regions. Our results show that the characteristic EM distributions of the diffuse emission regions peak at log T = 6.25 and the coolward slopes are in the range 1.4-3.3. This suggests that both low- as well as high-frequency nanoflare heating events are at work. Our results provide additional constraints on the properties of these diffuse emission regions and their contribution to the background/foreground when active region cores are observed on-disk.

  17. Regional Networks for Energy Efficiency

    Energy.gov [DOE]

    Better Buildings Neighborhood Program Sustainability Peer Exchange Call: Regional Networks for Energy Efficiency, call slides and discussion summary, December 6, 2012.

  18. USDA Regional Conservation Partnership Program

    Energy.gov [DOE]

    The U.S. Department of Agriculture is accepting applications for the Regional Conservation Partnership Program to identify and address natural resource objectives in balance with operational goals in order to benefit soil, water, wildlife, and related natural resources locally, regionally, and nationally.

  19. EWONAP Training and Regional Meeting

    Energy.gov [DOE]

    The Native Learning Center is pleased to announce the 2016 Eastern Woodlands ONAP Training and Regional Meeting taking place in our newly renovated training facility in Hollywood, FL. This three-day interactive training is designed to address Tribal Housing needs identified throughout the Eastern Woodlands region.

  20. Regional Climate Change Webinar Presentation | Department of...

    Energy.gov [DOE] (indexed site)

    Regional Climate Change Webinar presentation dated August 6, 2015. Regional Climate Change Webinar Presentation (7.29 MB) More Documents & Publications Regional Climate Change ...

  1. Regional Climate Change Webinar Presentation | Department of...

    Energy.gov [DOE] (indexed site)

    Regional Climate Change Webinar presentation dated August 6, 2015. Regional Climate Change Webinar Presentation More Documents & Publications Regional Climate Change Webinar...

  2. Yellowstone Caldera Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Region (Finn & Morgan, 2002) Compound and Elemental Analysis At Yellowstone Region (Goff & Janik, 2002) Compound and Elemental Analysis At Yellowstone Region (Hurwitz, Et Al.,...

  3. Figure F1. United States Census Divisions

    Gasoline and Diesel Fuel Update

    53 Figure 17. Natural gas delivered to consumers in the United States, 2015 Volumes in Million Cubic Feet Trillion Cubic Feet trillion cubic feet All Other States Wisconsin Indiana Texas Pennsylvania New Jersey Ohio Michigan Illinois California New York 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 Residential All Other States Minnesota Massachusetts Pennsylvania New Jersey Ohio Michigan Texas Illinois California New York 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 Commercial trillion cubic feet Res idential 4,609,670

  4. More Regional Science Bowl Winners

    Energy.gov [DOE]

    By March 25, 2011, thousands of students will have competed in more than 100 regional science bowl contests throughout the country, and then the winning schools will compete in DC this spring for the national championship.

  5. Geothermal Regions | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    groundwater flow), and other relevant factors. The 21 regions can be seen outlined in red and overlain on the 2008 USGS Geothermal Favorability Map in Figure 1.1 Add a new...

  6. 2015 NHA Alaska Regional Meeting

    Energy.gov [DOE]

    Register today and join industry professionals for interactive discussions covering a variety of regional topics and a tour of the Eklutna lake Project.

  7. RAFT Regional Algal Feedstock Testbed

    Energy.gov [DOE]

    Breakout Session 3B—Integration of Supply Chains III: Algal Biofuels Strategy RAFT Regional Algal Feedstock Testbed Kimberly Ogden, Professor, University of Arizona, Engineering Technical Lead, National Alliance for Advanced Biofuels and Bioproducts

  8. Regional

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    3 AÇORIANO ORIENTAL SEGUNDA-FEIRA, 5 DE MARÇO DE 2012 PUB Da Graciosa para a Índia graças à estação atmosférica Carlos está atualmente a trabalhar na estação atmosférica móvel instalada na Índia, a dois mil metros de altitude Estar no lugar certo na hora cer- ta pode mudar radicalmente a vida de uma pessoa. Foi isso que aconteceu ao graciosense Carlos Sousa, de 41 anos, que começou por ser trabalhador daconstrução civil antes de emigrar para os Es- tados Unidos da América. No

  9. WINDExchange: About Regional Resource Centers

    WindExchange

    Deployment Activities Printable Version Bookmark and Share Regional Resource Centers About Economic Development Siting About Regional Resource Centers Significant expansion of wind energy deployment will be required to achieve the President's goal of doubling renewable energy production in the United States by 2020. Wind energy currently provides more than 4% of the nation's electricity but has the potential to provide much more. Increasing the country's percentage from wind power will mean

  10. Regional Transmission Projects: Finding Solutions

    SciTech Connect

    The Keystone Center

    2005-06-15

    The Keystone Center convened and facilitated a year-long Dialogue on "Regional Transmission Projects: Finding Solutions" to develop recommendations that will help address the difficult and contentious issues related to expansions of regional electric transmission systems that are needed for reliable and economic transmission of power within and across regions. This effort brought together a cross-section of affected stakeholders and thought leaders to address the problem with the collective wisdom of their experience and interests. Transmission owners sat at the table with consumer advocates and environmental organizations. Representatives from regional transmission organizations exchanged ideas with state and federal regulators. Generation developers explored common interests with public power suppliers. Together, the Dialogue participants developed consensus solutions about how to begin unraveling some of the more intractable issues surrounding identification of need, allocation of costs, and reaching consensus on siting issues that can frustrate the development of regional transmission infrastructure. The recommendations fall into three broad categories: 1. Recommendations on appropriate institutional arrangements and processes for achieving regional consensus on the need for new or expanded transmission infrastructure 2. Recommendations on the process for siting of transmission lines 3. Recommendations on the tools needed to support regional planning, cost allocation, and siting efforts. List of Dialogue participants: List of Dialogue Participants: American Electric Power American Transmission Company American Wind Energy Association California ISO Calpine Corporation Cinergy Edison Electric Institute Environmental Defense Federal Energy Regulatory Commission Great River Energy International Transmission Company ISO-New England Iowa Public Utility Board Kanner & Associates Midwest ISO National Association of Regulatory Utility Commissioners National Association

  11. Hierarchical probabilistic regionalization of volcanism for Sengan region, Japan.

    SciTech Connect

    Balasingam, Pirahas; Park, Jinyong; McKenna, Sean Andrew; Kulatilake, Pinnaduwa H. S. W.

    2005-03-01

    A 1 km square regular grid system created on the Universal Transverse Mercator zone 54 projected coordinate system is used to work with volcanism related data for Sengan region. The following geologic variables were determined as the most important for identifying volcanism: geothermal gradient, groundwater temperature, heat discharge, groundwater pH value, presence of volcanic rocks and presence of hydrothermal alteration. Data available for each of these important geologic variables were used to perform directional variogram modeling and kriging to estimate geologic variable vectors at each of the 23949 centers of the chosen 1 km cell grid system. Cluster analysis was performed on the 23949 complete variable vectors to classify each center of 1 km cell into one of five different statistically homogeneous groups with respect to potential volcanism spanning from lowest possible volcanism to highest possible volcanism with increasing group number. A discriminant analysis incorporating Bayes theorem was performed to construct maps showing the probability of group membership for each of the volcanism groups. The said maps showed good comparisons with the recorded locations of volcanism within the Sengan region. No volcanic data were found to exist in the group 1 region. The high probability areas within group 1 have the chance of being the no volcanism region. Entropy of classification is calculated to assess the uncertainty of the allocation process of each 1 km cell center location based on the calculated probabilities. The recorded volcanism data are also plotted on the entropy map to examine the uncertainty level of the estimations at the locations where volcanism exists. The volcanic data cell locations that are in the high volcanism regions (groups 4 and 5) showed relatively low mapping estimation uncertainty. On the other hand, the volcanic data cell locations that are in the low volcanism region (group 2) showed relatively high mapping estimation uncertainty

  12. EIA - Natural Gas Pipeline Network - Regional Definitions

    Energy Information Administration (EIA) (indexed site)

    Definitions Map About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Regional Definitions The regions defined in the above map are based upon the 10 Federal Regions of the U.S. Bureau of Labor Statistics. The State groupings are as follows: Northeast Region - Federal Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont. Federal Region 2: New Jersey, and New York. Federal Region 3:Delaware, District of

  13. Groundwater in the Regional Aquifer

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Groundwater in the Regional Aquifer Groundwater in the Regional Aquifer LANL maintains an extensive groundwater monitoring and surveillance program through sampling. August 1, 2013 Conceptual model of water movement and geology at Los Alamos National Laboratory Conceptual model of water movement and geology at Los Alamos National Laboratory RELATED IMAGES http://farm4.staticflickr.com/3749/9827580556_473a91fd78_t.jpg Enlarge http://farm3.staticflickr.com/2856/9804364405_b25f74cbb2_t.jpg En

  14. An all-sky sample of intermediate-mass star-forming regions

    SciTech Connect

    Lundquist, Michael J.; Kobulnicky, Henry A.; Alexander, Michael J.; Kerton, Charles R.; Arvidsson, Kim

    2014-04-01

    We present an all-sky sample of 984 candidate intermediate-mass Galactic star-forming regions that are color selected from the Infrared Astronomical Satellite (IRAS) Point Source Catalog and morphologically classify each object using mid-infrared Wide-field Infrared Survey Explorer (WISE) images. Of the 984 candidates, 616 are probable star-forming regions (62.6%), 128 are filamentary structures (13.0%), 39 are point-like objects of unknown nature (4.0%), and 201 are galaxies (20.4%). We conduct a study of four of these regions, IRAS 00259+5625, IRAS 00420+5530, IRAS 01080+5717, and IRAS 05380+2020, at Galactic latitudes |b| > 5° using optical spectroscopy from the Wyoming Infrared Observatory, along with near-infrared photometry from the Two-Micron All Sky Survey, to investigate their stellar content. New optical spectra, color-magnitude diagrams, and color-color diagrams reveal their extinctions, spectrophotometric distances, and the presence of small stellar clusters containing 20-78 M {sub ☉} of stars. These low-mass diffuse star clusters contain ∼65-250 stars for a typical initial mass function, including one or more mid-B stars as their most massive constituents. Using infrared spectral energy distributions we identify young stellar objects near each region and assign probable masses and evolutionary stages to the protostars. The total infrared luminosity lies in the range 190-960 L {sub ☉}, consistent with the sum of the luminosities of the individually identified young stellar objects.

  15. Regional Slip Tendency Analysis of the Great Basin Region

    DOE Data Explorer

    Faulds, James E.

    - The resulting along?fault and fault?to?fault variation in slip or dilation potential is a proxy for along fault and fault?to?fault variation in fluid flow conduit potential. Stress Magnitudes and directions were calculated across the entire Great Basin. Stress field variation within each focus area was approximated based on regional published data and the world stress database (Hickman et al., 2000; Hickman et al., 1998 Robertson?Tait et al., 2004; Hickman and Davatzes, 2010; Davatzes and Hickman, 2006; Blake and Davatzes 2011; Blake and Davatzes, 2012; Moeck et al., 2010; Moos and Ronne, 2010 and Reinecker et al., 2005). The minimum horizontal stress direction (Shmin) was contoured, and spatial bins with common Shmin directions were calculated. Based on this technique, we subdivided the Great Basin into nine regions (Shmin <070, 070140). Slip and dilation tendency were calculated using 3DStress for the faults within each region using the mean Shmin for the region. Shmin variation throughout Great Basin are shown on Figure 3. For faults within the Great Basin proper, we applied a normal faulting stress regime, where the vertical stress (sv) is larger than the maximum horizontal stress (shmax), which is larger than the minimum horizontal stress (sv>shmax>shmin). Based on visual inspection of the limited stress magnitude data in the Great Basin, we used magnitudes such that shmin/shmax = .527 and shmin/sv= .46. These values are consistent with stress magnitude data at both Dixie Valley (Hickman et al., 2000) and Yucca Mountain (Stock et al., 1985). For faults within the Walker Lane/Eastern California Shear Zone, we applied a strike?slip faulting stress, where shmax > sv > shmin. Upon visual inspection of limited stress magnitude data from the Walker Lane and Eastern California Shear zone, we chose values such that SHmin/SHmax = .46 and Shmin/Sv= .527

  16. Regional Slip Tendency Analysis of the Great Basin Region

    DOE Data Explorer

    Faulds, James E.

    2013-09-30

    - The resulting along?fault and fault?to?fault variation in slip or dilation potential is a proxy for along fault and fault?to?fault variation in fluid flow conduit potential. Stress Magnitudes and directions were calculated across the entire Great Basin. Stress field variation within each focus area was approximated based on regional published data and the world stress database (Hickman et al., 2000; Hickman et al., 1998 Robertson?Tait et al., 2004; Hickman and Davatzes, 2010; Davatzes and Hickman, 2006; Blake and Davatzes 2011; Blake and Davatzes, 2012; Moeck et al., 2010; Moos and Ronne, 2010 and Reinecker et al., 2005). The minimum horizontal stress direction (Shmin) was contoured, and spatial bins with common Shmin directions were calculated. Based on this technique, we subdivided the Great Basin into nine regions (Shmin <070, 070140). Slip and dilation tendency were calculated using 3DStress for the faults within each region using the mean Shmin for the region. Shmin variation throughout Great Basin are shown on Figure 3. For faults within the Great Basin proper, we applied a normal faulting stress regime, where the vertical stress (sv) is larger than the maximum horizontal stress (shmax), which is larger than the minimum horizontal stress (sv>shmax>shmin). Based on visual inspection of the limited stress magnitude data in the Great Basin, we used magnitudes such that shmin/shmax = .527 and shmin/sv= .46. These values are consistent with stress magnitude data at both Dixie Valley (Hickman et al., 2000) and Yucca Mountain (Stock et al., 1985). For faults within the Walker Lane/Eastern California Shear Zone, we applied a strike?slip faulting stress, where shmax > sv > shmin. Upon visual inspection of limited stress magnitude data from the Walker Lane and Eastern California Shear zone, we chose values such that SHmin/SHmax = .46 and Shmin/Sv= .527

  17. Form:GeothermalRegion | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    of a Geothermal Region below. If the region already exists, you will be able to edit its information. AddEdit a Geothermal Region Retrieved from "http:en.openei.orgw...

  18. Buildings*","Northeast",,"Midwest",,"South",,,"West"

    Energy Information Administration (EIA) (indexed site)

    B5. Census Region and Division, Floorspace for Non-Mall Buildings, 2003" ,"Total Floorspace (million square feet)" ,"All Buildings*","Northeast",,"Midwest",,"South",,,"West" ,,"New England","Middle Atlantic","East North Central","West North Central","South Atlantic","East South Central","West South Central","Mountain","Pacific" "All

  19. Energy Information Administration (EIA)- About the Commercial Buildings

    Gasoline and Diesel Fuel Update

    Energy Consumption Survey (CBECS) B5. Census region and division, floorspace, 2012 Released: May 2016 Total floorspace (million square feet) Northeast Midwest South West All buildings New England Middle Atlantic East North Central West North Central South Atlantic East South Central West South Central Moun- tain Pacific All buildings 87,093 4,302 11,232 12,742 6,178 17,981 4,904 11,394 4,981 13,379 Building floorspace (square feet) 1,001 to 5,000 8,041 405 652 1,066 792 1,564 613 1,206 528

  20. PROJECT PROFILE: Regional Test Center Operations | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Regional Test Center Operations PROJECT PROFILE: Regional Test Center Operations Funding Opportunity: SuNLaMP SunShot Subprogram: Photovoltaics Location: Sandia National ...

  1. EIA - Natural Gas Pipeline System - Midwest Region

    Energy Information Administration (EIA) (indexed site)

    Midwest Region About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 20072008 with selected updates Natural Gas Pipelines in the Midwest Region ...

  2. EIA - Natural Gas Pipeline System - Central Region

    Annual Energy Outlook

    Central Region About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 20072008 with selected updates Natural Gas Pipelines in the Central Region ...

  3. EIA - Natural Gas Pipeline System - Southwest Region

    Energy Information Administration (EIA) (indexed site)

    Southwest Region About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 20072008 with selected updates Natural Gas Pipelines in the Southwest Region ...

  4. EIA - Natural Gas Pipeline System - Southeast Region

    Annual Energy Outlook

    Southeast Region About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 20072008 with selected updates Natural Gas Pipelines in the Southeast Region ...

  5. EIA - Natural Gas Pipeline System - Northeast Region

    Energy Information Administration (EIA) (indexed site)

    Northeast Region About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 20072008 with selected updates Natural Gas Pipelines in the Northeast Region ...

  6. EIA - Natural Gas Pipeline System - Western Region

    Energy Information Administration (EIA) (indexed site)

    Western Region About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 20072008 with selected updates Natural Gas Pipelines in the Western Region ...

  7. Cascades Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Cascades Geothermal Region (Redirected from Cascades) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Cascades Geothermal Region Details Areas (2) Power Plants (0)...

  8. Italy Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Region Larderello Geothermal Area Mount Amiata Geothermal Area Travale-Radicondoli Geothermal Area Energy Generation Facilities within the Italy Geothermal Region Bagnore 3...

  9. Lake Region State College | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    College Jump to: navigation, search Name Lake Region State College Facility Lake Region State College Sector Wind energy Facility Type Community Wind Facility Status In Service...

  10. Regional Climate Vulnerabilities and Resilience Solutions | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Regional Climate Vulnerabilities and Resilience Solutions Regional Climate Vulnerabilities and Resilience Solutions This interactive map is not viewable in your browser. Please ...

  11. Transition Zone Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Unknown Planned Capacity 1 Geothermal Areas within the Transition Zone Geothermal Region Energy Generation Facilities within the Transition Zone Geothermal Region Geothermal Power...

  12. Category:Geothermal Regions | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Geothermal Regions Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermalpower.jpg Looking for the Geothermal Regions page? For detailed information on Geothermal...

  13. Germany Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Germany Geothermal Region Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Germany Geothermal Region Details Areas (1) Power Plants (0) Projects (0) Techniques (0)...

  14. Thailand Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Thailand Geothermal Region Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Thailand Geothermal Region Details Areas (1) Power Plants (1) Projects (0) Techniques (0)...

  15. Indonesia Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Indonesia Geothermal Region Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Indonesia Geothermal Region Details Areas (5) Power Plants (4) Projects (0) Techniques (0)...

  16. Philippines Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Philippines Geothermal Region Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Philippines Geothermal Region Details Areas (1) Power Plants (0) Projects (0) Techniques...

  17. Austria Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    GEOTHERMAL ENERGYGeothermal Home Austria Geothermal Region Details Areas (0) Power Plants (0) Projects (0) Techniques (0) References Geothermal Region Data Area USGS Resource...

  18. Australia Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    GEOTHERMAL ENERGYGeothermal Home Australia Geothermal Region Details Areas (0) Power Plants (0) Projects (0) Techniques (0) References Geothermal Region Data Area USGS Resource...

  19. New Zealand Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    GEOTHERMAL ENERGYGeothermal Home New Zealand Geothermal Region Details Areas (2) Power Plants (2) Projects (0) Techniques (0) References Geothermal Region Data Area USGS Resource...

  20. Russia Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    GEOTHERMAL ENERGYGeothermal Home Russia Geothermal Region Details Areas (0) Power Plants (0) Projects (0) Techniques (0) References Geothermal Region Data Area USGS Resource...

  1. Iceland Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    GEOTHERMAL ENERGYGeothermal Home Iceland Geothermal Region Details Areas (0) Power Plants (0) Projects (0) Techniques (0) References Geothermal Region Data Area USGS Resource...

  2. Clean Energy Manufacturing Initiative Southeast Regional Summit...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Clean Energy Manufacturing Initiative Southeast Regional Summit Clean Energy Manufacturing Initiative Southeast Regional Summit July 9, 2015 8:30AM to 6:00PM EDT Renaissance...

  3. China Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Geothermal Region Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home China Geothermal Region Details Areas (0) Power Plants (0) Projects (0) Techniques (0) References...

  4. Mexico Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Geothermal Region Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Mexico Geothermal Region Details Areas (0) Power Plants (0) Projects (0) Techniques (0) References...

  5. Turkey Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Geothermal Region Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Turkey Geothermal Region Details Areas (0) Power Plants (0) Projects (0) Techniques (0) References...

  6. Regional Feedstock Partnership Report | Department of Energy

    Energy.gov [DOE] (indexed site)

    Regional Feedstock Partnership Report The U.S. Department of Energy and the Sun Grant Initiative established the Regional Feedstock Partnership to address information gaps ...

  7. Southeast Regional Carbon Sequestration Partnership

    SciTech Connect

    Kenneth J. Nemeth

    2006-08-30

    The Southeast Regional Carbon Sequestration Partnership's (SECARB) Phase I program focused on promoting the development of a framework and infrastructure necessary for the validation and commercial deployment of carbon sequestration technologies. The SECARB program, and its subsequent phases, directly support the Global Climate Change Initiative's goal of reducing greenhouse gas intensity by 18 percent by the year 2012. Work during the project's two-year period was conducted within a ''Task Responsibility Matrix''. The SECARB team was successful in accomplishing its tasks to define the geographic boundaries of the region; characterize the region; identify and address issues for technology deployment; develop public involvement and education mechanisms; identify the most promising capture, sequestration, and transport options; and prepare action plans for implementation and technology validation activity. Milestones accomplished during Phase I of the project are listed below: (1) Completed preliminary identification of geographic boundaries for the study (FY04, Quarter 1); (2) Completed initial inventory of major sources and sinks for the region (FY04, Quarter 2); (3) Completed initial development of plans for GIS (FY04, Quarter 3); (4) Completed preliminary action plan and assessment for overcoming public perception issues (FY04, Quarter 4); (5) Assessed safety, regulatory and permitting issues (FY05, Quarter 1); (6) Finalized inventory of major sources/sinks and refined GIS algorithms (FY05, Quarter 2); (7) Refined public involvement and education mechanisms in support of technology development options (FY05, Quarter 3); and (8) Identified the most promising capture, sequestration and transport options and prepared action plans (FY05, Quarter 4).

  8. --No Title--

    Energy Information Administration (EIA) (indexed site)

    8: Consumption of Electricity by End Use Variable Name Variable Description Position Format PUBID8 Building identifier 1- 5 REGION8 Census region 7- 7 REGION. CENDIV8 Census...

  9. --No Title--

    Energy Information Administration (EIA) (indexed site)

    Appendix A. 1989 CBECS Data File Documentation File 2: Building Activity (CBECS89.A02) ... CASEID Building identifier BLDGID4 1- 5 Census region REGION4 7- 7 REGION. Census ...

  10. Developing a Regional Recovery Framework

    SciTech Connect

    Lesperance, Ann M.; Olson, Jarrod; Stein, Steven L.; Clark, Rebecca; Kelly, Heather; Sheline, Jim; Tietje, Grant; Williamson, Mark; Woodcock, Jody

    2011-09-01

    Abstract A biological attack would present an unprecedented challenge for local, state, and federal agencies; the military; the private sector; and individuals on many fronts ranging from vaccination and treatment to prioritization of cleanup actions to waste disposal. To prepare the Seattle region to recover from a biological attack, the Seattle Urban Area Security Initiative (UASI) partners collaborated with military and federal agencies to develop a Regional Recovery Framework for a Biological Attack in the Seattle Urban Area. The goal was to reduce the time and resources required to recover and restore wide urban areas, military installations, and other critical infrastructure following a biological incident by providing a coordinated systems approach. Based on discussions in small workshops, tabletop exercises, and interviews with emergency response agency staff, the partners identified concepts of operation for various areas to address critical issues the region will face as recovery progresses. Key to this recovery is the recovery of the economy. Although the Framework is specific to a catastrophic, wide-area biological attack using anthrax, it was designed to be flexible and scalable so it could also serve as the recovery framework for an all-hazards approach. The Framework also served to coalesce policy questions that must be addressed for long-term recovery. These questions cover such areas as safety and health, security, financial management, waste management, legal issues, and economic development.

  11. Regional Slip Tendency Analysis of the Great Basin Region

    DOE Data Explorer

    Faulds, James E.

    2013-09-30

    Slip and dilation tendency on the Great Basin fault surfaces (from the USGS Quaternary Fault Database) were calculated using 3DStress (software produced by Southwest Research Institute). Slip and dilation tendency are both unitless ratios of the resolved stresses applied to the fault plane by the measured ambient stress field. - Values range from a maximum of 1 (a fault plane ideally oriented to slip or dilate under ambient stress conditions) to zero (a fault plane with no potential to slip or dilate). - Slip and dilation tendency values were calculated for each fault in the Great Basin. As dip is unknown for many faults in the USGS Quaternary Fault Database, we made these calculations using the dip for each fault that would yield the maximum slip or dilation tendency. As such, these results should be viewed as maximum slip and dilation tendency. - The resulting along‐fault and fault‐to‐fault variation in slip or dilation potential is a proxy for along fault and fault‐to‐fault variation in fluid flow conduit potential. Stress Magnitudes and directions were calculated across the entire Great Basin. Stress field variation within each focus area was approximated based on regional published data and the world stress database (Hickman et al., 2000; Hickman et al., 1998 Robertson‐Tait et al., 2004; Hickman and Davatzes, 2010; Davatzes and Hickman, 2006; Blake and Davatzes 2011; Blake and Davatzes, 2012; Moeck et al., 2010; Moos and Ronne, 2010 and Reinecker et al., 2005). The minimum horizontal stress direction (Shmin) was contoured, and spatial bins with common Shmin directions were calculated. Based on this technique, we subdivided the Great Basin into nine regions (Shmin <070, 070140). Slip and dilation tendency were calculated using 3DStress for the faults within each region using the mean Shmin for the region. Shmin variation throughout Great Basin

  12. Hydrogen Regional Infrastructure Program in Pennsylvania

    Office of Energy Efficiency and Renewable Energy (EERE)

    Hydrogen Regional Infrastructure Program in Pennsylvania. Objectives: Capture data pertinent to H2 delivery in PA

  13. http://2010.census.gov/2010census/data/apportionment-dens-text...

    National Nuclear Security Administration (NNSA)

    ... Density Rank 10 10 10 10 10 10 11 11 11 11 12 Oklahoma Population 1,657,155 2,028,283 2,396,040 2,336,434 2,233,351 2,328,284 2,559,229 3,025,290 3,145,585 3,450,654 3,751,351 ...

  14. WINDExchange: Wind Energy Regional Resource Centers

    WindExchange

    Deployment Activities Printable Version Bookmark and Share Regional Resource Centers About Economic Development Siting Wind Energy Regional Resource Centers The U.S. Department of Energy's Regional Resource Centers provide unbiased wind energy information to communities and decision makers to help them evaluate wind energy potential and learn about wind power's benefits and impacts in their regions. During their first year of operations, the Regional Resource Centers impacted more than 12,000

  15. Regional solid waste management study

    SciTech Connect

    Not Available

    1992-09-01

    In 1990, the Lower Savannah Council of Governments (LSCOG) began dialogue with the United States Department of Energy (DOE) regarding possibilities for cooperation and coordination of solid waste management practices among the local governments and the Savannah River Site. The Department of Energy eventually awarded a grant to the Lower Savannah Council of Governments for the development of a study, which was initiated on March 5, 1992. After careful analysis of the region`s solid waste needs, this study indicates a network approach to solid waste management to be the most viable. The network involves the following major components: (1) Rural Collection Centers, designed to provide convenience to rural citizens, while allowing some degree of participation in recycling; (2) Rural Drop-Off Centers, designed to give a greater level of education and recycling activity; (3) Inert landfills and composting centers, designed to reduce volumes going into municipal (Subtitle D) landfills and produce useable products from yard waste; (4) Transfer Stations, ultimate landfill disposal; (5) Materials Recovery Facilities, designed to separate recyclables into useable and sellable units, and (6) Subtitle D landfill for burial of all solid waste not treated through previous means.

  16. Regional CO2 and latent heat surface fluxes in the Southern Great Plains: Measurements, modeling, and scaling

    SciTech Connect

    Riley, W. J.; Biraud, S.C.; Torn, M.S.; Fischer, M.L.; Billesbach, D.P.; Berry, J.A.

    2009-08-15

    Characterizing net ecosystem exchanges (NEE) of CO{sub 2} and sensible and latent heat fluxes in heterogeneous landscapes is difficult, yet critical given expected changes in climate and land use. We report here a measurement and modeling study designed to improve our understanding of surface to atmosphere gas exchanges under very heterogeneous land cover in the mostly agricultural U.S. Southern Great Plains (SGP). We combined three years of site-level, eddy covariance measurements in several of the dominant land cover types with regional-scale climate data from the distributed Mesonet stations and Next Generation Weather Radar precipitation measurements to calibrate a land surface model of trace gas and energy exchanges (isotope-enabled land surface model (ISOLSM)). Yearly variations in vegetation cover distributions were estimated from Moderate Resolution Imaging Spectroradiometer normalized difference vegetation index and compared to regional and subregional vegetation cover type estimates from the U.S. Department of Agriculture census. We first applied ISOLSM at a 250 m spatial scale to account for vegetation cover type and leaf area variations that occur on hundred meter scales. Because of computational constraints, we developed a subsampling scheme within 10 km 'macrocells' to perform these high-resolution simulations. We estimate that the Atmospheric Radiation Measurement Climate Research Facility SGP region net CO{sub 2} exchange with the local atmosphere was -240, -340, and -270 gC m{sup -2} yr{sup -1} (positive toward the atmosphere) in 2003, 2004, and 2005, respectively, with large seasonal variations. We also performed simulations using two scaling approaches at resolutions of 10, 30, 60, and 90 km. The scaling approach applied in current land surface models led to regional NEE biases of up to 50 and 20% in weekly and annual estimates, respectively. An important factor in causing these biases was the complex leaf area index (LAI) distribution within

  17. Materials Data on Pr2B5 (SG:15) by Materials Project

    DOE Data Explorer

    Kristin Persson

    2016-02-10

    Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations

  18. DOE_CX-00125-Rev3-B5.1.pdf

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

  19. DOE_CX-00126-Rev3-B5.6.pdf

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

  20. DOE_CX-00145-Rev0-B5.4.pdf

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

  1. Materials Data on B5F6 (SG:88) by Materials Project

    DOE Data Explorer

    Kristin Persson

    2014-11-02

    Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations

  2. Microsoft Word - A-4_B-5BroadcastEmail110911.doc

    Office of Legacy Management (LM)

    cover sheet 14 To: Carl Spreng, CDPHE carl.spreng@state.co.us Vera Moritz EPA moritz.vera@epa.gov Steve Berendzen USFWS steveberendzen@fws.gov David Allen Broomfield ...

  3. Materials Data on B5H6Br (SG:14) by Materials Project

    DOE Data Explorer

    Kristin Persson

    2014-11-02

    Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations

  4. Materials Data on B5H11 (SG:14) by Materials Project

    DOE Data Explorer

    Kristin Persson

    2014-11-02

    Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations

  5. Categorical Exclusion B5.13 Supporting Information for DOE Notice...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    ... Amt Injection metric tonnes (short tons) Injection Scheduled ... Feasibilitysafety of coal seam sequestration ... 8 MGSC Oil-bearing Well Conversion Employ advanced MVA ...

  6. DOE-CX-00125-00_B5.1.pdf

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

  7. DOE-CX-00126-00_B5.6.pdf

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

  8. Materials Data on Na3B5Se9 (SG:142) by Materials Project

    SciTech Connect

    Kristin Persson

    2014-07-09

    Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations

  9. Materials Data on LaB5O9 (SG:14) by Materials Project

    DOE Data Explorer

    Kristin Persson

    2014-11-02

    Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations

  10. Eastern Woodlands Training and Regional Meeting

    Energy.gov [DOE]

    The Native Learning Center and the Seminole Tribe of Florida is pleased to announce the 2016 Eastern Woodlands ONAP Training and Regional Meeting designed to address tribal housing needs identified throughout the Eastern Woodlands region.

  11. DC High School Science Bowl Regionals

    Energy.gov [DOE]

    This event is the Washington, D.C. High School Regional competition for the US National Science Bowl. The regional competition is run by the Office of Economic Impact and Diversity, and the...

  12. National Strategy for the Arctic Region

    Energy.gov [DOE]

    The National Strategy for the Arctic Region (NSAR) outlines strategic priorities intended to position the United States to respond effectively to emerging opportunities in the region, while...

  13. State and Regional Hydrogen Initiatives Meeting, Challenges for...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    and Regional Hydrogen Initiatives Meeting, Challenges for State and Regional Hydrogen Initiatives State and Regional Hydrogen Initiatives Meeting, Challenges for State and Regional ...

  14. Diode having trenches in a semiconductor region

    DOEpatents

    Palacios, Tomas Apostol; Lu, Bin; Matioli, Elison de Nazareth

    2016-03-22

    An electrode structure is described in which conductive regions are recessed into a semiconductor region. Trenches may be formed in a semiconductor region, such that conductive regions can be formed in the trenches. The electrode structure may be used in semiconductor devices such as field effect transistors or diodes. Nitride-based power semiconductor devices are described including such an electrode structure, which can reduce leakage current and otherwise improve performance.

  15. Community Programs Office supports regional education

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Community Programs Office supports regional education Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue:November 2, 2016 all issues All Issues » submit Community Programs Office supports regional education New programs strengthen teachers' math and science teaching skills September 1, 2013 Teachers from the region attended a half-day workshop to improve their science-teaching skills Teachers from the region attended a half-day workshop

  16. Enforcement Policy: Regional Standards Enforcement and Distributors |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Enforcement and Distributors Enforcement Policy: Regional Standards Enforcement and Distributors Issued April 24, 2014 DOE has initiated a rulemaking to consider possible approaches to enforcing regional standards for residential central air conditioners and heat pumps. DOE will not assert civil penalty authority over distributors for violation of the regional standard for central air conditioners. Enforcement Policy: Regional Standards Enforcement and Distributors (3.55

  17. 2015 Alaska Regional Energy Workshops Flier

    Energy.gov [DOE]

    Learn about the three Alaska Regional Energy Workshops that the DOE Office of Indian Energy is presenting in March 2015.

  18. State & Regional Resources | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Pacific Regional Biomass Energy Program Dave Sjoding Renewable Resources Specialist 925 ... Alabama, Arkansas, District of Columbia, Florida, Georgia, Kentucky, Louisiana, ...

  19. Regional Transportation Simulation Tool for Emergency Planning

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    rtstep-diag TRACC RESEARCH Computational Fluid Dynamics Computational Structural Mechanics Transportation Systems Modeling Regional Transportation Simulation Tool for Emergency ...

  20. Ch 19 Cumulative Impacts FN East Region

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    ... impacts for resource areas on a regional basis for unknown deployment activities ... Infrastructure + Soils Geology Water Resources Wetlands ...

  1. Geothermal Literature Review At Cascades Region (Ingebritsen...

    OpenEI (Open Energy Information) [EERE & EIA]

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermal Literature Review At Cascades Region (Ingebritsen & Mariner, 2010) Exploration Activity Details...

  2. The Baltics: Regional energy profiles

    SciTech Connect

    Not Available

    1993-01-01

    However, all three Baltic Republics are heavily dependent on primary energy imports. Domestic energy sources in the Baltics are limited to oil shale mines in Estonia, small oil deposits in Lithuania, peat, and some very small hydroelectric power plants. A RBMK nuclear power station, similar to Chernobyl, operates at Snieckus in Lithuania, but the reactor fuel is also imported from Russia. However, Lithuania and Estonia are net exporters of electricity despite their reliance on primary fuels imports. The major power stations in these two Republics are the Ignalina Nuclear Power Station and the two thermal power plants at Narva in Estonia which are fueled by oil shale. The only oil refinery in the Baltics is also located in Lithuania, at Mazeikiai. This refinery has the capacity to satisfy the demand for selected refined products of the entire region, including the Kaliningrad oblast, a noncontiguous part of Russia. The Mazeikiai refinery has operated at only forty to sixty percent capacity since 1990 due to halts in crude oil supplies from Russia. The Baltic Republics also import one hundred percent of their coal and natural gas supplies. Russia is the main trading partner for all the Baltic states, accounting for more than half of their trade flow. Mutual trade within the Baltics has been surprisingly low. Other Baltic states contribute less than ten percent to each Republic`s exports or imports, even less than Belarus or Ukraine. Aside from Russia, Ukraine, and Belarus, only Kazakhstan contributes more than two percent to Baltics trade.

  3. The Baltics: Regional energy profiles

    SciTech Connect

    Not Available

    1993-01-01

    However, all three Baltic Republics are heavily dependent on primary energy imports. Domestic energy sources in the Baltics are limited to oil shale mines in Estonia, small oil deposits in Lithuania, peat, and some very small hydroelectric power plants. A RBMK nuclear power station, similar to Chernobyl, operates at Snieckus in Lithuania, but the reactor fuel is also imported from Russia. However, Lithuania and Estonia are net exporters of electricity despite their reliance on primary fuels imports. The major power stations in these two Republics are the Ignalina Nuclear Power Station and the two thermal power plants at Narva in Estonia which are fueled by oil shale. The only oil refinery in the Baltics is also located in Lithuania, at Mazeikiai. This refinery has the capacity to satisfy the demand for selected refined products of the entire region, including the Kaliningrad oblast, a noncontiguous part of Russia. The Mazeikiai refinery has operated at only forty to sixty percent capacity since 1990 due to halts in crude oil supplies from Russia. The Baltic Republics also import one hundred percent of their coal and natural gas supplies. Russia is the main trading partner for all the Baltic states, accounting for more than half of their trade flow. Mutual trade within the Baltics has been surprisingly low. Other Baltic states contribute less than ten percent to each Republic's exports or imports, even less than Belarus or Ukraine. Aside from Russia, Ukraine, and Belarus, only Kazakhstan contributes more than two percent to Baltics trade.

  4. NOAA 2015 Regional Coast Resilience Grant Program

    Energy.gov [DOE]

    The National Oceanic and Atmospheric Administration (NOOA) is accepting applications for the Regional Coastal Resilience Grant program to support regional approaches to undertake activities that build resilience of coastal regions, communities, and economic sectors to the negative impacts from extreme weather events, climate hazards, and changing ocean conditions.

  5. Big Sky Regional Middle School Regional Science Bowl | U.S. DOE Office of

    Office of Science (SC)

    Science (SC) Big Sky Regional Middle School Regional Science Bowl National Science Bowl® (NSB) NSB Home About Regional Competitions Rules, Forms, and Resources High School Regionals Middle School Regionals National Finals Volunteers Key Dates Frequently Asked Questions News Media Contact Us WDTS Home Contact Information National Science Bowl® U.S. Department of Energy SC-27/ Forrestal Building 1000 Independence Ave., SW Washington, DC 20585 E: Email Us Middle School Regionals Big Sky

  6. R93HC.PDF

    Energy Information Administration (EIA) (indexed site)

    7a. Conservation by Census Region and Climate Zone, Million U.S. Households, 1993 Conservation-Related Items RSE Column Factor: Total Census Region Climate Zone RSE Row Factors ...

  7. usage_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    Usage Indicators by South Census Region, Million U.S. Households, 2001 5 HC6-12a. Usage Indicators by West Census Region, Million U.S. Households, 2001 5 These data are from the ...

  8. S:\\VM3\\RX97\\TBL_LIST.WPD [PFP#201331587

    Gasoline and Diesel Fuel Update

    Home Office Equipment by South Census Region, Million U.S. Households, 1997 1 HC7-12a. Home Office Equipment by West Census Region, Million U.S. Households, 1997 1 These data are ...

  9. S:\\VM3\\RX97\\TBL_LIST.WPD [PFP#201331587

    Annual Energy Outlook

    Air Conditioning by South Census Region, Million U.S. Households, 1997 2 HC4-12a. Air Conditioning by West Census Region, Million U.S. Households, 1997 2 These data are from the ...

  10. 1997 Housing Characteristics Tables Home Office Equipment Tables

    Annual Energy Outlook

    Home Office Equipment by South Census Region, Percent of U.S. Households, 1997 1 HC7-12b. Home Office Equipment by West Census Region, Percent of U.S. Households, 1997 1 These data ...

  11. S:\\VM3\\RX97\\TBL_LIST.WPD [PFP#201331587

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Air Conditioning by South Census Region, Percent of U.S. Households, 1997 2 HC4-12b. Air Conditioning by West Census Region, Percent of U.S. Households, 1997 2 These data are from ...

  12. homeoffice_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    Home Office Equipment by South Census Region, Million U.S. Households, 2001 1 HC7-12a. Home Office Equipment by West Census Region, Million U.S. Households, 2001 1 These data are ...

  13. S:\\VM3\\RX97\\TBL_LIST.WPD [PFP#201331587

    Gasoline and Diesel Fuel Update

    Usage Indicators by South Census Region, Million U.S. Households, 1997 4 HC6-12a. Usage Indicators by West Census Region, Million U.S. Households, 1997 4 These data are from the ...

  14. Short-Term Energy Outlook - U.S. Energy Information Administration...

    Energy Information Administration (EIA) (indexed site)

    Regions refer to U.S. Census divisions. See "Census division" in EIA's Energy Glossary for a list of states in each region. Historical data: Latest data available from U.S. ...

  15. S:\\VM3\\RX97\\TBL_LIST.WPD [PFP#201331587

    Energy Information Administration (EIA) (indexed site)

    Usage Indicators by South Census Region, Percent of U.S. Households, 1997 4 HC6-12b. Usage Indicators by West Census Region, Percent of U.S. Households, 1997 4 These data are from ...

  16. Coal supply/demand, 1980 to 2000. Task 3. Resource applications industrialization system data base. Final review draft. [USA; forecasting 1980 to 2000; sector and regional analysis

    SciTech Connect

    Fournier, W.M.; Hasson, V.

    1980-10-10

    This report is a compilation of data and forecasts resulting from an analysis of the coal market and the factors influencing supply and demand. The analyses performed for the forecasts were made on an end-use-sector basis. The sectors analyzed are electric utility, industry demand for steam coal, industry demand for metallurgical coal, residential/commercial, coal demand for synfuel production, and exports. The purpose is to provide coal production and consumption forecasts that can be used to perform detailed, railroad company-specific coal transportation analyses. To make the data applicable for the subsequent transportation analyses, the forecasts have been made for each end-use sector on a regional basis. The supply regions are: Appalachia, East Interior, West Interior and Gulf, Northern Great Plains, and Mountain. The demand regions are the same as the nine Census Bureau regions. Coal production and consumption in the United States are projected to increase dramatically in the next 20 years due to increasing requirements for energy and the unavailability of other sources of energy to supply a substantial portion of this increase. Coal comprises 85 percent of the US recoverable fossil energy reserves and could be mined to supply the increasing energy demands of the US. The NTPSC study found that the additional traffic demands by 1985 may be met by the railways by the way of improved signalization, shorter block sections, centralized traffic control, and other modernization methods without providing for heavy line capacity works. But by 2000 the incremental traffic on some of the major corridors was projected to increase very significantly and is likely to call for special line capacity works involving heavy investment.

  17. Securing non-volatile memory regions

    DOEpatents

    Faraboschi, Paolo; Ranganathan, Parthasarathy; Muralimanohar, Naveen

    2013-08-20

    Methods, apparatus and articles of manufacture to secure non-volatile memory regions are disclosed. An example method disclosed herein comprises associating a first key pair and a second key pair different than the first key pair with a process, using the first key pair to secure a first region of a non-volatile memory for the process, and using the second key pair to secure a second region of the non-volatile memory for the same process, the second region being different than the first region.

  18. Figure F8. Coal demand regions

    Gasoline and Diesel Fuel Update

    9 U.S. Energy Information Administration | Annual Energy Outlook 2016 Regional maps Figure F8. Coal demand regions Figure F7. Coal Demand Regions CT,MA,ME,NH,RI,VT OH 1. NE 3. S1 4. S2 5. GF 6. OH 7. EN AL,MS MN,ND,SD IA,NE,MO,KS TX,LA,OK,AR MT,WY,ID CO,UT,NV AZ,NM 9. AM 11. C2 12. WS 13. MT 14. CU 15. ZN WV,MD,DC,DE 2. YP Region Content Region Code NY,PA,NJ VA,NC,SC GA,FL IN,IL,MI,WI Region Content Region Code 14. CU 13. MT 16. PC 15. ZN 12. WS 11. C2 9. AM 5. GF 8. KT 4. S2 7. EN 6. OH 2. YP

  19. Service Report Energy Information Administration Office of Energy...

    Energy Information Administration (EIA) (indexed site)

    (Millions of Households) ... 43 Table 12. Insulation and Air Infiltration Protection By Year House Was Built and Census Region...

  20. week's Southwest Regional Mine Rescue Competition.

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    winning WIPP Blue mine rescue team competes during last week's Southwest Regional Mine Rescue Competition. WIPP UPDATE: April 15, 2016 WIPP Blue Mine Rescue Team Wins Local Competition The Waste Isolation Pilot Plant (WIPP) Blue mine rescue team took top honors last week in the Southwest Regional Mine Rescue Contest, held in Carlsbad, NM. The WIPP Blue outdueled five other teams from the region, including the defending national champion WIPP Red team, to win first place overall in the

  1. Pennsylvania Regional Infrastructure Project | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Pennsylvania Regional Infrastructure Project Pennsylvania Regional Infrastructure Project Presentation by 11-Wang to DOE Hydrogen Pipeline R&D Project Review Meeting held January 5-6, 2005 at Oak Ridge National Laboratory in Oak Ridge, Tennessee. 11_wang_infra.pdf (9.72 MB) More Documents & Publications Hydrogen Regional Infrastructure Program in Pennsylvania Proceedings of the 2005 Hydrogen Pipeline Working Group Workshop Delivery Tech Team

  2. Regional News | netl.doe.gov

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Energy Regional Climate Vulnerabilities and Resilience Solutions Regional Climate Vulnerabilities and Resilience Solutions This interactive map is not viewable in your browser. Please view it in a modern browser

    Regional News November 7, 2016 Three NETL Innovations Recognized with Prestigious R&D 100 Awards Three technologies advanced by the Office of Fossil Energy's National Energy Technology Laboratory (NETL) in collaboration with strategic partners have been recognized by R&D

  3. Regional Science Bowl | netl.doe.gov

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Regional Science Bowl Growing Scientific Communities from the Ground Up Jeopardy is America's favorite quiz game show. Imagine combining the concept of Jeopardy with science and a roomful of over 100 middle/high school students from various schools across several counties. What do you get? The Regional Science Bowl! Often known as the Super Bowl of science, Regional Science Bowls provide the perfect opportunity for middle and high school students interested in STEM to compete in teams for the

  4. Regional math teacher wins presidential award

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Regional math teacher wins presidential award Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue:November 2, 2016 all issues All Issues » submit Regional math teacher wins presidential award Regional economic growth celebrated February 1, 2014 Vivian Valencia, (fourth-grade math teacher at the San Juan Elementary School in Espanola) recently won the Presidential Award for Excellence in Mathematics and Science Teaching Vivian Valencia,

  5. NERSC Staff Participate in Regional Science Bowl

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Staff Participate in Regional Science Bowl NERSC Staff Participate in Regional Science Bowl February 5, 2013 DOEScienceBowl NERSC's Elizabeth Bautista moderates DOE Science Bowl Competition at Berkeley Lab. High School students from all corners of the San Francisco Bay Area flocked to the Lawrence Berkeley National Laboratory (Berkeley Lab) on Saturday, February 2, 2013 to battle in the Department of Energy's Regional Science Bowl-an academic competition that tests students' knowledge in all

  6. Regional Energy Technology Innovation | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Regional Energy Technology Innovation Regional Energy Technology Innovation Regional Energy Technology Innovation The United States is in the midst of a clean energy revolution. The need for expanded, well-coordinated research, development, demonstration and deployment (RDD&D) to improve existing technologies and develop entirely new ones is a critical component of this unprecedented economic development opportunity going forward. Much of the advancement of the energy economy is taking place

  7. Southeast Regional Clean Energy Policy Analysis

    Energy.gov [DOE]

    This report covers the states that largely fall into the Southeastern Reliability Corporation (SERC) region: Alabama, Arkansas, Georgia, Louisiana, Kentucky, Missouri, Mississippi, North Carolina, South Carolina, and Tennessee.

  8. Pacific Region Combined Heat and Power Projects

    Energy.gov [DOE]

    DOE's Regional CHP Technical Assistance Partnerships (CHP TAPs) have compiled a select number of combined heat and power (CHP) project profiles, which are available as Adobe Acrobat PDFs.

  9. Regional Standards Enforcement Policy | Department of Energy

    Energy.gov [DOE] (indexed site)

    standards for residential central air conditioners and heat pumps. DOE will not assert civil penalty authority over distributors for violation of the regional standard for central...

  10. DOE Clean Energy Regional Application Centers (RACs)

    SciTech Connect

    2010-07-01

    This is a fact sheet on the U.S. Department of Energy's eight clean energy regional application centers, or RACs.

  11. Hawaii Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Area Mokapu Penninsula Geothermal Area Molokai Geothermal Area Olowalu-Ukumehame Canyon Geothermal Area Energy Generation Facilities within the Hawaii Geothermal Region Puna...

  12. Browse By Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    (231) States (50) Congressional Districts (437) Counties (3142) Cities (27936) Clean Energy Economy Regions (7) Programs (1157) Tools (1669) Retrieved from "http:...

  13. TCEQ Regional Offices | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Environmental Quality provides a map, list of managers, addresses, and phone numbers of its regional offices. Published NA Year Signed or Took Effect 2014 Legal Citation TCEQ...

  14. Northeast Region Combined Heat and Power Projects

    Office of Energy Efficiency and Renewable Energy (EERE)

    DOE's Regional CHP Technical Assistance Partnerships (CHP TAPs) have compiled a select number of combined heat and power (CHP) project profiles, which are available as Adobe Acrobat PDFs.

  15. Regional Dynamics Model (REDYN) | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    use the REDYN model to estimate the effects of actions and policies on people and the economy. The REDYN model powers the unique Regional Dynamics Economic Service, an...

  16. Multispectral Imaging At Yellowstone Region (Hellman & Ramsey...

    OpenEI (Open Energy Information) [EERE & EIA]

    Region Exploration Technique Multispectral Imaging Activity Date Spectral Imaging Sensor ASTER Usefulness useful DOE-funding Unknown Notes ASTER References Melanie J. Hellman,...

  17. Hyperspectral Imaging At Yellowstone Region (Hellman & Ramsey...

    OpenEI (Open Energy Information) [EERE & EIA]

    Region Exploration Technique Hyperspectral Imaging Activity Date Spectral Imaging Sensor AVIRIS Usefulness useful DOE-funding Unknown Notes AVIRIS airborne hyperspectral...

  18. Northwest Region Combined Heat and Power Projects

    Energy.gov [DOE]

    DOE's Regional CHP Technical Assistance Partnerships (CHP TAPs) have compiled a select number of combined heat and power (CHP) project profiles, which are available as Adobe Acrobat PDFs.

  19. Southern Rockies Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    ENERGYGeothermal Home Southern Rockies Geothermal Region Details Areas (1) Power Plants (0) Projects (0) Techniques (0) Assessment of Moderate- and High-Temperature...

  20. Northern Rockies Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    ENERGYGeothermal Home Northern Rockies Geothermal Region Details Areas (0) Power Plants (0) Projects (0) Techniques (0) Map: Name Province is situated in northern Idaho...

  1. Sierra Nevada Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    ENERGYGeothermal Home Sierra Nevada Geothermal Region Details Areas (0) Power Plants (0) Projects (0) Techniques (0) Map: Name California's Sierra Nevada is a...

  2. Outside a Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    GEOTHERMAL ENERGYGeothermal Home Outside a Geothermal Region Details Areas (1) Power Plants (1) Projects (0) Techniques (0) This is a category for geothermal areas added that do...

  3. Gainesville Regional Utilities- Energy Efficiency Rebate Program

    Energy.gov [DOE]

    Gainesville Regional Utilities (GRU) offers an incentive to business customers for upgrading or installing fuel efficient natural gas equipment at eligible facilities. Incentives are available for...

  4. NREL: Wind Research - Regional Test Centers

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Regional Test Centers To increase the availability of small wind turbine testing and share ... processing, and analysis Acoustic noise emissions testing Small turbine testing ...

  5. Disclosure of Permitted Communication Concerning Regional Standards...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    EERE-2011-BT-CE-0077 Disclosure of Permitted Communication Concerning Regional Standards ... More Documents & Publications Disclosure of Permitted Communication Concerning Fossil Fuel ...

  6. Geothermometry At Yellowstone Region (Fournier, 1979) | Open...

    OpenEI (Open Energy Information) [EERE & EIA]

    Geothermal Region Exploration Technique Geothermometry Activity Date Usefulness useful DOE-funding Unknown Notes Enthalpy-Chloride digram. Not exactly cation geothermometry...

  7. Regional Energy Deployment System (ReEDS)

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Regional Energy Deployment System (ReEDS) Walter Short, Patrick Sullivan, Trieu Mai, ... laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable ...

  8. Regional geophysics, Cenozoic tectonics and geologic resources...

    OpenEI (Open Energy Information) [EERE & EIA]

    and geologic resources of the Basin and Range Province and adjoining regions Author G.P. Eaton Conference Basin and Range Symposium and Great Basin Field Conference; Denver,...

  9. Regional Resource Centers for Innovation Brochure (Revised)

    SciTech Connect

    Wogsland, J.

    2000-09-14

    This brochure describes OIT's Regional Resource Centers for Innovation (RCIs), which provide the Innovation and Invention program grantees and other small business energy innovators commercialization assistance.

  10. --No Title--

    Energy Information Administration (EIA) (indexed site)

    : General Building Information and Energy End Uses Variable Name Variable Description Position Format PUBID8 Building identifier 1- 5 REGION8 Census region 7- 7 REGION. CENDIV8...

  11. --No Title--

    Energy Information Administration (EIA) (indexed site)

    : Building Activities and Special Measures of Size Variable Name Variable Description Position Format PUBID8 Building identifier 1- 5 REGION8 Census region 7- 7 REGION. CENDIV8...

  12. Scenario Evaluation and Regionalization Analysis (SERA) Model

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Evaluation and Regionalization Analysis (SERA) Model (National Renewable Energy Laboratory) Objectives Determine optimal regional infrastructure development patterns for hydrogen and other transportation fuels, given resource availability and technology cost estimates. Geospatially and temporally resolve the expansion of production, transmission, and distribution infrastructure components. Identify and characterize niche markets and synergies related to refueling station placement and early fuel

  13. Hydrogen Regional Infrastructure Program in Pennsylvania

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    REGIONAL INFRASTRUCTURE PROGRAM IN PENNSYLVANIA HYDROGEN REGIONAL INFRASTRUCTURE PROGRAM IN PENNSYLVANIA Melissa Klingenberg, PhD Melissa Klingenberg, PhD Hydrogen Program Hydrogen Program Air Products and Chemicals, Inc. (APCI) Hydrogen Separation Hydrogen Sensors Resource Dynamics Corporation (RDC) Tradeoff/Sensitivity Analyses of Hydrogen Delivery Approaches EDO Fiber Science High Pressure/High Strength Composite Material Development and Prototyping CTC * Program Management * Hydrogen

  14. Wintertime meteorology of the Grand Canyon region

    SciTech Connect

    Whiteman, C.D.

    1992-09-01

    The Grand Canyon region of the American Southwest is an interesting region meteorologically, but because of its isolated location, the lack of major population centers in the region, and the high cost of meteorological field experiments, it has historically received little observational attention. In recent years, however, attention has been directed to episodes of visibility degradation in many of the US National parks, and two recent field studies focused on this visibility problem have greatly increased the meteorological data available for the Grand Canyon region. The most recent and comprehensive of these studies is the Navajo Generating Station Winter Visibility Study of 1989--90. This study investigated the sources of visibility degradation in Grand Canyon National Park and the meteorological mechanisms leading to low visibility episodes. In this paper we present analyses of this rich data set to gain a better understanding of the key wintertime meteorological features of the Grand Canyon region.

  15. Improving image segmentation by learning region affinities

    SciTech Connect

    Prasad, Lakshman; Yang, Xingwei; Latecki, Longin J

    2010-11-03

    We utilize the context information of other regions in hierarchical image segmentation to learn new regions affinities. It is well known that a single choice of quantization of an image space is highly unlikely to be a common optimal quantization level for all categories. Each level of quantization has its own benefits. Therefore, we utilize the hierarchical information among different quantizations as well as spatial proximity of their regions. The proposed affinity learning takes into account higher order relations among image regions, both local and long range relations, making it robust to instabilities and errors of the original, pairwise region affinities. Once the learnt affinities are obtained, we use a standard image segmentation algorithm to get the final segmentation. Moreover, the learnt affinities can be naturally unutilized in interactive segmentation. Experimental results on Berkeley Segmentation Dataset and MSRC Object Recognition Dataset are comparable and in some aspects better than the state-of-art methods.

  16. Testsite

    Gasoline and Diesel Fuel Update

    0a. Housing Unit Characteristics by Midwest Census Region, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.8 Total .............................................................. 107.0 24.5 17.1 7.4 NE Census Region and Division Northeast ..................................................... 20.3 -- -- -- NF New England

  17. Snake River Plain Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Survey At Snake River Plain Region (DOE GTP) Micro-Earthquake At Snake River Plain Geothermal Region (1976) Reflection Survey At Snake River Plain Region (DOE GTP)...

  18. Utah Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Utah Region Middle School Regional Utah Nevada Regional Middle School Science...

  19. Alaska Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the High School Coach page. Alaska Region High School Regional Alaska Alaska High School Regional Science...

  20. Louisiana Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Louisiana Region Middle School Regional Louisiana Arkansas Regional Middle...

  1. Alabama Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the High School Coach page. Alabama Region High School Regional Alabama Alabama High School Regional Science...

  2. Louisiana Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the High School Coach page. Louisiana Region High School Regional Louisiana Louisiana Regional High School...

  3. Georgia Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Georgia Region Middle School Regional Georgia Georgia Regional Middle School...

  4. Wyoming Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Wyoming Region Middle School Regional Wyoming Wyoming Regional Middle School...

  5. Colorado Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Colorado Region Middle School Regional Colorado Colorado Regional Middle School...

  6. Hawaii Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the High School Coach page. Hawaii Region High School Regional Hawaii Hawaii Regional High School Science...

  7. Massachusetts Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Massachusetts Region Middle School Regional Massachusetts Massachusetts Regional...

  8. Maine Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Maine Region Middle School Regional Maine Massachusetts Regional Middle School...

  9. Vermont Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Vermont Region Middle School Regional Vermont Massachusetts Regional Middle...

  10. Maryland Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Maryland Region Middle School Regional Maryland Maryland Regional Middle School...

  11. Maine Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the High School Coach page. Maine Region High School Regional Maine Maine Regional High School Science Bowl...

  12. Delaware Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Delaware Region Middle School Regional Delaware New Jersey Regional Middle...

  13. Florida Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Florida Region Middle School Regional Florida Florida Regional Middle School...

  14. Tennessee Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Tennessee Region Middle School Regional Tennessee Tennessee Regional Middle...

  15. Michigan Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Michigan Region Middle School Regional Michigan Indiana Regional Middle School...

  16. Connecticut Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Connecticut Region Middle School Regional Connecticut Connecticut Regional...

  17. Kansas Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Kansas Region Middle School Regional Kansas Missouri Regional Middle School...

  18. Indiana Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the High School Coach page. Indiana Region High School Regional Indiana Indiana Regional High School Science...

  19. Delaware Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the High School Coach page. Delaware Region High School Regional Delaware New Jersey Regional High School...

  20. Utah Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    for your school's state, county, city, or district. For more information, please visit the High School Coach page. Utah Region High School Regional Utah Nevada Regional High School...

  1. Kentucky Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Kentucky Region Middle School Regional Kentucky West Kentucky Regional Middle...

  2. Ohio Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Ohio Region Middle School Regional Ohio Indiana Regional Middle School Science...

  3. Cape Cod Regional Transit Authority | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Cod Regional Transit Authority Jump to: navigation, search Name Cape Cod Regional Transit Authority Facility Cape Cod Regional Transit Authority Sector Wind energy Facility Type...

  4. Georgia Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    Regional High School Science Bowl Columbia County Savannah River Regional High School Science Bowl Richmond County Savannah River Regional High School Science Bowl If you find ...

  5. Stockton Regional Water Control Facility Biomass Facility | Open...

    OpenEI (Open Energy Information) [EERE & EIA]

    Stockton Regional Water Control Facility Biomass Facility Jump to: navigation, search Name Stockton Regional Water Control Facility Biomass Facility Facility Stockton Regional...

  6. REEEP South Asia Regional Secretariat | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    South Asia Regional Secretariat Jump to: navigation, search Name: REEEP South Asia Regional Secretariat Place: New Delhi, Delhi (NCT), India Zip: 110 003 Product: Regional...

  7. Mississippi Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    ... High School Science Bowl Simpson County Mississippi Regional High School Science Bowl Smith County Mississippi Regional High School Science Bowl Stone County Louisiana Regional ...

  8. Minnesota Regional Science Bowl for Middle School Students |...

    Office of Science (SC)

    Minnesota Regional Science Bowl for Middle School Students National Science Bowl (NSB) NSB Home About Regional Competitions Rules, Forms, and Resources High School Regionals ...

  9. Database for Regional Geology, Phase 1- A Tool for informing...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Database for Regional Geology, Phase 1- A Tool for informing Regional Evaluations of Alternative Geologic Media and Decision Making Database for Regional Geology, Phase 1- A Tool ...

  10. Rio Grande Rift Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Region Data Acquisition-Manipulation At Rio Grande Rift Region (Morgan, Et Al., 2010) Ground Gravity Survey At Rio Grande Rift Region (Aiken & Ander, 1981) Magnetotellurics At...

  11. Oklahoma Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    Oklahoma Regions National Science Bowl (NSB) NSB Home About High School Middle School ... Middle School Regionals Oklahoma Regions Print Text Size: A A A FeedbackShare Page ...

  12. Smart Grid Regional and Energy Storage Demonstration Projects...

    Office of Environmental Management (EM)

    Regional and Energy Storage Demonstration Projects: Awards Smart Grid Regional and Energy Storage Demonstration Projects: Awards List of Smart Grid Regional and Energy Storage ...

  13. LEDSGP/about/regional-platforms | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Guiding Structure Regional Platforms LEDS GP regional platforms lead regional peer learning, training, and collaboration; engage technical working groups, the LEDS GP...

  14. NBP RFI: Communications Requirements- Comments of Lake Region...

    Energy Saver

    Lake Region Electric Cooperative- Minnesota NBP RFI: Communications Requirements- Comments of Lake Region Electric Cooperative- Minnesota Comments of Lake Region Electric ...

  15. Minnesota Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    Minnesota Regions National Science Bowl (NSB) NSB Home About High School High School ... High School Regionals Minnesota Regions Print Text Size: A A A FeedbackShare Page ...

  16. Minnesota Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    Minnesota Regions National Science Bowl (NSB) NSB Home About High School Middle School ... Middle School Regionals Minnesota Regions Print Text Size: A A A FeedbackShare Page ...

  17. Robie G. Russell, Regional Administrator, Region 10, U.S. Environmental

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    4-1 14.0 SIGNATURE The original signatories of the action plan signed May 15, 1989 were Robie G. Russell, Regional Administrator, Region 10, U.S. Environmental Protection Agency; Michael J. Lawrence, Manager, Richland Operations Office, U.S. Department of Energy; and Christine O. Gregoire, Director, Washington State Department of Ecology. The following are the titles of the current signatories: For the United States Environmental Protection Agency: Regional Administrator, Region 10 U.S.

  18. Database for Regional Geology, Phase 1- A Tool for informing Regional

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Evaluations of Alternative Geologic Media and Decision Making | Department of Energy Database for Regional Geology, Phase 1- A Tool for informing Regional Evaluations of Alternative Geologic Media and Decision Making Database for Regional Geology, Phase 1- A Tool for informing Regional Evaluations of Alternative Geologic Media and Decision Making The report describes implementation and planning of websites that allow visualization or manipulation of data in the UFD GIS Database; e.g., the

  19. Regional seismic discrimination research at LLNL

    SciTech Connect

    Walter, W.R.; Mayeda, K.M.; Goldstein, P.; Patton, H.J.; Jarpe, S.; Glenn, L.

    1995-10-01

    The ability to verify a Comprehensive Test Ban Treaty (CTBT) depends in part on the ability to seismically detect and discriminate between potential clandestine underground nuclear tests and other seismic sources, including earthquakes and mining activities. Regional techniques are necessary to push detection and discrimination levels down to small magnitudes, but existing methods of event discrimination are mainly empirical and show much variability from region to region. The goals of Lawrence Livermore National Laboratory`s (LLNL`s) regional discriminant research are to evaluate the most promising discriminants, improve the understanding of their physical basis and use this information to develop new and more effective discriminants that can be transported to new regions of high monitoring interest. In this report the authors discuss preliminary efforts to geophysically characterize the Middle East and North Africa. They show that the remarkable stability of coda allows one to develop physically based, stable single station magnitude scales in new regions. They then discuss progress to date on evaluating and improving physical understanding and ability to model regional discriminants, focusing on the comprehensive NTS dataset. The authors apply this modeling ability to develop improved discriminants including slopes of P to S ratios. They find combining disparate discriminant techniques is particularly effective in identifying consistent outliers such as shallow earthquakes and mine seismicity. Finally they discuss development and use of new coda and waveform modeling tools to investigate special events.

  20. Regional Climate Modeling: Progress, Challenges, and Prospects

    SciTech Connect

    Wang, Yuqing; Leung, Lai R.; McGregor, John L.; Lee, Dong-Kyou; Wang, Wei-Chyung; Ding, Yihui; Kimura, Fujio

    2004-12-01

    Regional climate modeling with regional climate models (RCMs) has matured over the past decade and allows for meaningful utilization in a broad spectrum of applications. In this paper, latest progresses in regional climate modeling studies are reviewed, including RCM development, applications of RCMs to dynamical downscaling for climate change assessment, seasonal climate predictions and climate process studies, and the study of regional climate predictability. Challenges and potential directions of future research in this important area are discussed, with the focus on those to which less attention has been given previously, such as the importance of ensemble simulations, further development and improvement of regional climate modeling approach, modeling extreme climate events and sub-daily variation of clouds and precipitation, model evaluation and diagnostics, applications of RCMs to climate process studies and seasonal predictions, and development of regional earth system models. It is believed that with both the demonstrated credibility of RCMs capability in reproducing not only monthly to seasonal mean climate and interannual variability but also the extreme climate events when driven by good quality reanalysis and the continuous improvements in the skill of global general circulation models (GCMs) in simulating large-scale atmospheric circulation, regional climate modeling will remain an important dynamical downscaling tool for providing the needed information for assessing climate change impacts and seasonal climate predictions, and a powerful tool for improving our understanding of regional climate processes. An internationally coordinated effort can be developed with different focuses by different groups to advance regional climate modeling studies. It is also recognized that since the final quality of the results from nested RCMs depends in part on the realism of the large-scale forcing provided by GCMs, the reduction of errors and improvement in

  1. State and Regional Policy Assistance- Program Activities

    Energy.gov [DOE]

    The Electric Markets Technical Assistance Program responds to both immediate and long-terms needs of states, regions, and other organizations to implement policy and market solutions that bring about improved demand response, energy efficiency, renewable energy, and transmission utilization.

  2. AWEA Wind Energy Regional Summit: Northeast

    Office of Energy Efficiency and Renewable Energy (EERE)

    The AWEA Wind Energy Northeast Regional Summit will connect you with New England-area wind energy professionals and offers the opportunity to discuss significant issues related to land-based and...

  3. Detection of amplified or deleted chromosomal regions

    DOEpatents

    Stokke, T.; Pinkel, D.; Gray, J.W.

    1995-12-05

    The present invention relates to in situ hybridization methods for the identification of new chromosomal abnormalities associated with various diseases. In particular, it provides probes which are specific to a region of amplification in chromosome 20. 3 figs.

  4. Johnstown Regional Energy | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Johnstown Regional Energy is a US local energy company who owns three landfill gas to natural gas plants in Pennsylvania. Coordinates: 40.32726, -78.918354 Show Map Loading...

  5. Regional characteristics, tilt domains, and extensional history...

    OpenEI (Open Energy Information) [EERE & EIA]

    and Transfer Zones and the Regional Segmentation of the Basin and Range Province Author J.H. Stewart Editors Faulds, J.E., and Stewart and J.H. Published Geological Society of...

  6. NUCLEAR REGULATORY,.COMMISSION REGION I

    Office of Legacy Management (LM)

    ... & Lab Branch Division of Nuclear Materials Safety Docket No. 040-07964 License No. ... U.S. NUCLEAR REGULATORY COMblISSION REGION I INSPECTION REPORT Report No. 040-0796496-001 ...

  7. Detection Of Amplified Or Deleted Chromosomal Regions

    DOEpatents

    Stokke, Trond , Pinkel, Daniel , Gray, Joe W.

    1997-05-27

    The present invention relates to in situ hybridization methods for the identification of new chromosomal abnormalities associated with various diseases. In particular, it provides probes which are specific to a region of amplification in chromosome 20.

  8. Detection of amplified or deleted chromosomal regions

    DOEpatents

    Stokke, Trond; Pinkel, Daniel; Gray, Joe W.

    1995-01-01

    The present invention relates to in situ hybridization methods for the identification of new chromosomal abnormalities associated with various diseases. In particular, it provides probes which are specific to a region of amplification in chromosome 20.

  9. Mid-Columbia Region Clean Energy Opportunities

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    93 -VA Revision 0 Mid-Columbia Region Clean Energy Opportunities Prepared for the U.S. Department of Energy Assistant Secretary for Environmental Management P.O. Box 550 Richland, ...

  10. Students benefit the Laboratory and the region

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Students benefit the Laboratory and the region Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue:November 2, 2016 all issues All Issues » submit Students benefit the Laboratory and the region More than 1,000 students arrive for the summer June 1, 2013 Student Student performs experiment at the Trident Laser Facility Contact Editor Linda Anderman Email Community Programs Office Kurt Steinhaus Email Each year, approximately 1,000 students

  11. State and Regional Energy Risk Assessment Initiative

    Energy.gov [DOE]

    OE is leading a State and Regional Energy Risk Assessment Initiative to help States better understand risks to their energy infrastructure so they can be better prepared to make informed decisions about their investments, resilience and hardening strategies, and asset management. As part of this Initiative, OE has developed a series of State and Regional Energy Risk Profiles that examine the relative magnitude of the risks that each State's energy infrastructure routinely encounters in comparison with the probable impacts.

  12. Clean Energy Manufacturing Initiative Southeast Regional Summit

    Energy.gov [DOE]

    As part of the Clean Energy Manufacturing Initiative (CEMI), the U.S. Department of Energy (DOE) organizes regional summits around the country to expand its partnerships, share resources and successes, and refine its strategy to boost U.S. competitiveness in clean energy manufacturing. The CEMI Southeast Regional Summit, which will be held on July 9, 2015 at the Renaissance Atlanta Midtown Hotel in Atlanta, Georgia, is the third in this series.

  13. Residential market transformation: National and regional indicators

    SciTech Connect

    Van Wie McGrory, Laura L.; McNamara, Maureen; Suozzo, Margaret

    2000-06-01

    A variety of programs are underway to address market barriers to the adoption of energy-efficient residential technologies and practices. Most are administered by utilities, states, or regions that rely on the Energy Star as a consistent platform for program marketing and messaging. This paper reviews regional and national market transformation activities for three key residential end-uses -- air conditioning, clothes washing, and lighting -- characterizing current and ongoing programs; reporting on progress; identifying market indicators; and discussing implications.

  14. Clean Cities Coalition Regions | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Clean Cities Coalition Regions Clean Cities Coalition Regions Nearly 100 Clean Cities coalitions work to reduce petroleum use in communities across the country. Led by Clean Cities coordinators, coalitions are composed of businesses, fuel providers, vehicle fleets, state and local government agencies, and community organizations. These stakeholders come together to share information and resources, educate the public, help craft public policy, and collaborate on projects that reduce petroleum

  15. State of Alaska Regional Energy Planning

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Tribal Energy Summit September 24, 2015 State of Alaska Regional Energy Planning Solar Energy Anaktuvuk Pass, Alaska Humpback Creek Hydroelectric Cordova, Alaska Wind Diesel Generation Selawik, Alaska WHPacific, Inc. REGIONAL PLANNING ZONES:  North Slope  Northwest Arctic  Bering Straits  Interior (YK/Upper Tanana)  YK Delta (Lower Yukon- Kuskokwim)  Chugach Logistics Reality Alaska Arctic Communities: Energy Platform A Holistic Approach Infrastructure Housing Water Systems

  16. Enforcement Policy Statement: Regional Standards Enforcement Rulemaking

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Regional Standards Enforcement Rulemaking and Distributors April 24, 2014 On June 27, 2011, the Department of Energy (DOE) published in the Federal Register a direct final rule (DFR) under the Energy Policy and Conservation Act (EPCA), 42 U.S.C. §§ 6291-6309, which set forth amended energy conservation standards for central air conditioners and heat pumps, including regional standards in certain States. 76 FR 37408. DOE has initiated a rulemaking to consider possible approaches to enforcing

  17. LANL subcontractor supports the region: SOC

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    LANL Subcontractor Supports The Region Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue:November 2, 2016 all issues All Issues » submit LANL subcontractor supports the region: SOC The company's financial giving has benefited numerous organizations across the economic development, education, and giving sectors. January 1, 2013 dummy image Read our archives Contacts Editor Linda Anderman Email Community Programs Office Kurt Steinhaus

  18. 2016 Argonne Regional Science Bowl | Argonne National Laboratory

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Argonne Regional Science Bowl 2016 Argonne Regional Middle School Science Bowl 1 of 29 2016 Argonne Regional Middle School Science Bowl Photographer: Wes Agresta 2016 Argonne Regional Middle School Science Bowl 1 of 29 2016 Argonne Regional Middle School Science Bowl Photographer: Wes Agresta 2016 Argonne Regional Middle School Science Bowl 2 of 29 2016 Argonne Regional Middle School Science Bowl Photographer: Wes Agresta 2016 Argonne Regional Middle School Science Bowl 3 of 29 2016 Argonne

  19. [CII] dynamics in the S140 region

    SciTech Connect

    Dedes, C.; Rllig, M.; Okada, Y.; Ossenkopf, V.; Mookerjea, B.; Collaboration: WADI Team

    2015-01-22

    We report the observation of [C II] emission in a cut through the S140 region together with single pointing observations of several molecular tracers, including hydrides, in key regions of the photon-dominated region (PDR) and molecular cloud [1]. At a distance of 910 pc, a BOV star ionizes the edge of the molecular cloud L1204, creating S140. In addition, the dense molecular cloud hosts a cluster of embedded massive young stellar objects only 75' from the H II region [e.g. 2, 3]. We used HIFI on Herschel to observe [CII] in a strip following the direction of the impinging radiation across the ionisation front and through the cluster of embedded YSOs. With [C II], we can trace the ionising radiation and, together with the molecular tracers such as CO isotopologues and HCO{sup +}, study the dynamical processes in the region. Combining HIFIs high spectral resolution data with ground based molecular data allows us to study the dynamics and excitation conditions both in the ionization front and the dense molecular star forming region and model their physical conditions [4].

  20. file://C:\Documents%20and%20Settings\VM3\My%20Documents\hc6-12a

    Energy Information Administration (EIA) (indexed site)

    2a. Usage Indicators by West Census Region, Million U.S. Households, 2001 ____________________________________________________________________________________________ | | | | | West Census Region | | |___________________________________| | | | | | | | Census Division | | | |_______________________| | Total | | | | Usage Indicators | U.S. | Total | Mountain | Pacific | |___________|___________|___________|___________| RSE | | | | | Row RSE Column Factor: | 0.5 | 1.0 | 1.6 | 1.2 |Factors

  1. file://C:\Documents%20and%20Settings\VM3\My%20Documents\hc6-9a_

    Energy Information Administration (EIA) (indexed site)

    9a. Usage Indicators by Northeast Census Region, Million U.S. Households, 2001 ____________________________________________________________________________________________ | | | | | Northeast Census Region | | |___________________________________| | | | | | | | Census Division | | | |_______________________| | | | | | | Total | | Middle | | Usage Indicators | U.S. | Total | Atlantic |New England| |___________|___________|___________|___________| RSE | | | | | Row RSE Column Factor: | 0.5 | 1.0 |

  2. U.S. Energy Information Administration (EIA)

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    by census region, 2010 (million short tons and percent change from 2009) U.S. total: 975.6 million short tons (4.5%) Figure 3. Electric Power Sector Consumption of Coal by Census ...

  3. Manufacturing Energy Consumption Survey (MECS) - U.S. Energy...

    Annual Energy Outlook

    U. S. Census Regions and Divisions: census map About the MECS Survey forms Maps MECS Terminology Archives Features First 2010 Data Press Release 2010 Data Brief Other End Use ...

  4. Word Pro - Untitled1

    Energy Information Administration (EIA) (indexed site)

    7 Appendix C Figure C1. U.S. Census Regions and Divisions Note: Map not to scale. Web Page: See www.census.govgeowwwusregdiv.pdf. Source: U.S. Department of Commerce, Bureau of ...

  5. SOUTHWEST REGIONAL PARTNERSHIP FOR CARBON SEQUESTRATION

    SciTech Connect

    Brian McPherson

    2004-04-01

    The Southwest Partnership Region includes five states (Arizona, Colorado, New Mexico, Oklahoma, Utah) and contiguous areas from three adjacent states (west Texas, south Wyoming, and west Kansas). This energy-rich region exhibits some of the largest growth rates in the nation, and it contains two major CO{sub 2} pipeline networks that presently tap natural subsurface CO{sub 2} reservoirs for enhanced oil recovery at a rate of 30 million tons per year. The ten largest coal-fired power plants in the region produce 50% (140 million tons CO{sub 2}/y) of the total CO{sub 2} from power-plant fossil fuel combustion, with power plant emissions close to half the total CO{sub 2} emissions. The Southwest Regional Partnership comprises a large, diverse group of expert organizations and individuals specializing in carbon sequestration science and engineering, as well as public policy and outreach. These partners include 21 state government agencies and universities, the five major electric utility industries, seven oil, gas and coal companies, three federal agencies, the Navajo Nation, several NGOs including the Western Governors Association, and data sharing agreements with four other surrounding states. The Partnership is developing action plans for possible Phase II carbon sequestration pilot tests in the region, as well as the non-technical aspects necessary for developing and carrying out these pilot tests. The establishment of a website network to facilitate data storage and information sharing, decision-making, and future management of carbon sequestration in the region is a priority. The Southwest Partnership's approach includes (1) dissemination of existing regulatory/permitting requirements, (2) assessing and initiating public acceptance of possible sequestration approaches, and (3) evaluation and ranking of the most appropriate sequestration technologies for capture and storage of CO{sub 2} in the Southwest Region. The Partnership will also identify potential gaps in

  6. Mid-Atlantic Regional Wind Energy Institute

    SciTech Connect

    Courtney Lane

    2011-12-20

    As the Department of Energy stated in its 20% Wind Energy by 2030 report, there will need to be enhanced outreach efforts on a national, state, regional, and local level to communicate wind development opportunities, benefits and challenges to a diverse set of stakeholders. To help address this need, PennFuture was awarded funding to create the Mid-Atlantic Regional Wind Energy Institute to provide general education and outreach on wind energy development across Maryland, Virginia, Delaware, Pennsylvania and West Virginia. Over the course of the two-year grant period, PennFuture used its expertise on wind energy policy and development in Pennsylvania and expanded it to other states in the Mid-Atlantic region. PennFuture accomplished this through reaching out and establishing connections with policy makers, local environmental groups, health and economic development organizations, and educational institutions and wind energy developers throughout the Mid-Atlantic region. PennFuture conducted two regional wind educational forums that brought together wind industry representatives and public interest organizations from across the region to discuss and address wind development in the Mid-Atlantic region. PennFuture developed the agenda and speakers in collaboration with experts on the ground in each state to help determine the critical issue to wind energy in each location. The sessions focused on topics ranging from the basics of wind development; model ordinance and tax issues; anti-wind arguments and counter points; wildlife issues and coalition building. In addition to in-person events, PennFuture held three webinars on (1) Generating Jobs with Wind Energy; (2) Reviving American Manufacturing with Wind Power; and (3) Wind and Transmission. PennFuture also created a web page for the institute (http://www.midatlanticwind.org) that contains an online database of fact sheets, research reports, sample advocacy letters, top anti-wind claims and information on how to

  7. The 17 GHz active region number

    SciTech Connect

    Selhorst, C. L.; Pacini, A. A.; Costa, J. E. R.; Gimnez de Castro, C. G.; Valio, A.; Shibasaki, K.

    2014-08-01

    We report the statistics of the number of active regions (NAR) observed at 17 GHz with the Nobeyama Radioheliograph between 1992, near the maximum of cycle 22, and 2013, which also includes the maximum of cycle 24, and we compare with other activity indexes. We find that NAR minima are shorter than those of the sunspot number (SSN) and radio flux at 10.7 cm (F10.7). This shorter NAR minima could reflect the presence of active regions generated by faint magnetic fields or spotless regions, which were a considerable fraction of the counted active regions. The ratio between the solar radio indexes F10.7/NAR shows a similar reduction during the two minima analyzed, which contrasts with the increase of the ratio of both radio indexes in relation to the SSN during the minimum of cycle 23-24. These results indicate that the radio indexes are more sensitive to weaker magnetic fields than those necessary to form sunspots, of the order of 1500 G. The analysis of the monthly averages of the active region brightness temperatures shows that its long-term variation mimics the solar cycle; however, due to the gyro-resonance emission, a great number of intense spikes are observed in the maximum temperature study. The decrease in the number of these spikes is also evident during the current cycle 24, a consequence of the sunspot magnetic field weakening in the last few years.

  8. Multilateral, regional and bilateral energy trade governance

    SciTech Connect

    Leal-Arcas, Rafael; Grasso, Costantino; Rios, Juan Alemany )

    2014-12-01

    The current international energy trade governance system is fragmented and multi-layered. Streamlining it for greater legal cohesiveness and international political and economic cooperation would promote global energy security. The current article explores three levels of energy trade governance: multilateral, regional and bilateral. Most energy-rich countries are part of the multilateral trading system, which is institutionalized by the World Trade Organization (WTO). The article analyzes the multilateral energy trade governance system by focusing on the WTO and energy transportation issues. Regionally, the article focuses on five major regional agreements and their energy-related aspects and examines the various causes that explain the proliferation of regional trade agreements, their compatibility with WTO law, and then provides several examples of regional energy trade governance throughout the world. When it comes to bilateral energy trade governance, this article only addresses the European Union’s (EU) bilateral energy trade relations. The article explores ways in which gaps could be filled and overlaps eliminated whilst remaining true to the high-level normative framework, concentrating on those measures that would enhance EU energy security.

  9. A Hierarchical Evaluation of Regional Climate Simulations

    SciTech Connect

    Leung, Lai-Yung R.; Ringler, Todd; Collins, William D.; Taylor, Mark; Ashfaq, Moetasim

    2013-08-20

    Global climate models (GCMs) are the primary tools for predicting the evolution of the climate system. Through decades of development, GCMs have demonstrated useful skill in simulating climate at continental to global scales. However, large uncertainties remain in projecting climate change at regional scales, which limit our ability to inform decisions on climate change adaptation and mitigation. To bridge this gap, different modeling approaches including nested regional climate models (RCMs), global stretch-grid models, and global high-resolution atmospheric models have been used to provide regional climate simulations (Leung et al. 2003). In previous efforts to evaluate these approaches, isolating their relative merits was not possible because factors such as dynamical frameworks, physics parameterizations, and model resolutions were not systematically constrained. With advances in high performance computing, it is now feasible to run coupled atmosphere-ocean GCMs at horizontal resolution comparable to what RCMs use today. Global models with local refinement using unstructured grids have become available for modeling regional climate (e.g., Rauscher et al. 2012; Ringler et al. 2013). While they offer opportunities to improve climate simulations, significant efforts are needed to test their veracity for regional-scale climate simulations.

  10. State action in regional transmission groups

    SciTech Connect

    Rokach, J.Z.

    1994-12-01

    States should participate in coordinated transmission planning through regional transmission groups, while reserving their right to pass upon transmission planning. This would smooth an otherwise difficult transition, as FERC and state regulators seek to facilitate a competitive bulk power market that ignores arbitrary jurisdiction lines. Since the Federal Energy Regulatory Commission issued its Policy Statement on Regional Transmission Groups, two RTG`s, the Western Regional Transmission Association and the Southwest Regional Transmission Association, have gained conditional approval from FERC. A third, the Northwest Regional Transmission Association, files its governing agreement with the Commission, seeking FERC`s approval. Price setting within RTGs and information exchanges involved in planning the grid raise questions of the legality of these collective actions under the antitrust laws. All three agreements allow for exchanges of commercial and planning information, but, conspicuously, do not set transmission prices. For the moment, therefore, antitrust liability for RTGs would arise out of the information exchanges involved in planning the grid. In addition, with FERC pushing for `restructuring` at the wholesale level through open access and the states becoming aggressive in trying to institute competition at the consumer level through retail wheeling, issues of federal-state jurisdiction in transmission have come to the fore.

  11. BIA Southwest Region - Wood Energy Assessment for BIA Schools and Facilities in the Southwest Region

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Wood Energy Assessment for BIA Schools and Facilities in Southwest Region John Waconda, BIA Southwest Region Regional Forester 505-563-3360 Tribal Energy Review October 26, 2006 Project Objectives/Goals * Seek viable solutions to forest product utilization challenges in support of fuels reduction activities, forest health/timber stand improvement projects, and assisting tribal and other forest enterprises seeking higher valued use for waste material. * Demonstrate to tribes and ourselves that

  12. SOUTHWEST REGIONAL PARTNERSHIP ON CARBON SEQUESTRATION

    SciTech Connect

    Brian McPherson; Rick Allis; Barry Biediger; Joel Brown; Jim Cappa; George Guthrie; Richard Hughes; Eugene Kim; Robert Lee; Dennis Leppin; Charles Mankin; Orman Paananen; Rajesh Pawar; Tarla Peterson; Steve Rauzi; Jerry Stuth; Genevieve Young

    2004-11-01

    The Southwest Partnership Region includes six whole states, including Arizona, Colorado, Kansas, New Mexico, Oklahoma, and Utah, roughly one-third of Texas, and significant portions of adjacent states. The Partnership comprises a large, diverse group of expert organizations and individuals specializing in carbon sequestration science and engineering, as well as public policy and outreach. The main objective of the Southwest Partnership project is to achieve an 18% reduction in carbon intensity by 2012. The Partnership made great progress in this first year. Action plans for possible Phase II carbon sequestration pilot tests in the region are almost finished, including both technical and non-technical aspects necessary for developing and carrying out these pilot tests. All partners in the Partnership are taking an active role in evaluating and ranking optimum sites and technologies for capture and storage of CO{sub 2} in the Southwest Region. We are identifying potential gaps in all aspects of potential sequestration deployment issues.

  13. Light emitting device having peripheral emissive region

    DOEpatents

    Forrest, Stephen R

    2013-05-28

    Light emitting devices are provided that include one or more OLEDs disposed only on a peripheral region of the substrate. An OLED may be disposed only on a peripheral region of a substantially transparent substrate and configured to emit light into the substrate. Another surface of the substrate may be roughened or include other features to outcouple light from the substrate. The edges of the substrate may be beveled and/or reflective. The area of the OLED(s) may be relatively small compared to the substrate surface area through which light is emitted from the device. One or more OLEDs also or alternatively may be disposed on an edge of the substrate about perpendicular to the surface of the substrate through which light is emitted, such that they emit light into the substrate. A mode expanding region may be included between each such OLED and the substrate.

  14. FY08 LDRD Final Report Regional Climate

    SciTech Connect

    Bader, D C; Chin, H; Caldwell, P M

    2009-05-19

    An integrated, multi-model capability for regional climate change simulation is needed to perform original analyses to understand and prepare for the impacts of climate change on the time and space scales that are critical to California's future environmental quality and economic prosperity. Our intent was to develop a very high resolution regional simulation capability to address consequences of climate change in California to complement the global modeling capability that is supported by DOE at LLNL and other institutions to inform national and international energy policies. The California state government, through the California Energy Commission (CEC), institutionalized the State's climate change assessment process through its biennial climate change reports. The bases for these reports, however, are global climate change simulations for future scenarios designed to inform international policy negotiations, and are primarily focused on the global to continental scale impacts of increasing emissions of greenhouse gases. These simulations do not meet the needs of California public and private officials who will make major decisions in the next decade that require an understanding of climate change in California for the next thirty to fifty years and its effects on energy use, water utilization, air quality, agriculture and natural ecosystems. With the additional development of regional dynamical climate modeling capability, LLNL will be able to design and execute global simulations specifically for scenarios important to the state, then use those results to drive regional simulations of the impacts of the simulated climate change for regions as small as individual cities or watersheds. Through this project, we systematically studied the strengths and weaknesses of downscaling global model results with a regional mesoscale model to guide others, particularly university researchers, who are using the technique based on models with less complete parameterizations or

  15. Silicon on insulator with active buried regions

    DOEpatents

    McCarthy, Anthony M.

    1996-01-01

    A method for forming patterned buried components, such as collectors, sources and drains, in silicon-on-insulator (SOI) devices. The method is carried out by epitaxially growing a suitable sequence of single or multiple etch stop layers ending with a thin silicon layer on a silicon substrate, masking the silicon such that the desired pattern is exposed, introducing dopant and activating in the thin silicon layer to form doped regions. Then, bonding the silicon layer to an insulator substrate, and removing the silicon substrate. The method additionally involves forming electrical contact regions in the thin silicon layer for the buried collectors.

  16. Silicon on insulator with active buried regions

    DOEpatents

    McCarthy, A.M.

    1998-06-02

    A method is disclosed for forming patterned buried components, such as collectors, sources and drains, in silicon-on-insulator (SOI) devices. The method is carried out by epitaxially growing a suitable sequence of single or multiple etch stop layers ending with a thin silicon layer on a silicon substrate, masking the silicon such that the desired pattern is exposed, introducing dopant and activating in the thin silicon layer to form doped regions. Then, bonding the silicon layer to an insulator substrate, and removing the silicon substrate. The method additionally involves forming electrical contact regions in the thin silicon layer for the buried collectors. 10 figs.

  17. Silicon on insulator with active buried regions

    DOEpatents

    McCarthy, A.M.

    1996-01-30

    A method is disclosed for forming patterned buried components, such as collectors, sources and drains, in silicon-on-insulator (SOI) devices. The method is carried out by epitaxially growing a suitable sequence of single or multiple etch stop layers ending with a thin silicon layer on a silicon substrate, masking the silicon such that the desired pattern is exposed, introducing dopant and activating in the thin silicon layer to form doped regions. Then, bonding the silicon layer to an insulator substrate, and removing the silicon substrate. The method additionally involves forming electrical contact regions in the thin silicon layer for the buried collectors. 10 figs.

  18. Silicon on insulator with active buried regions

    DOEpatents

    McCarthy, Anthony M.

    1998-06-02

    A method for forming patterned buried components, such as collectors, sources and drains, in silicon-on-insulator (SOI) devices. The method is carried out by epitaxially growing a suitable sequence of single or multiple etch stop layers ending with a thin silicon layer on a silicon substrate, masking the silicon such that the desired pattern is exposed, introducing dopant and activating in the thin silicon layer to form doped regions. Then, bonding the silicon layer to an insulator substrate, and removing the silicon substrate. The method additionally involves forming electrical contact regions in the thin silicon layer for the buried collectors.

  19. Clean Energy Manufacturing Initiative Southeast Regional Summit

    Office of Energy Efficiency and Renewable Energy (EERE)

    Registration is now open for the Clean Energy Manufacturing Initiative’s (CEMI) Southeast Regional Summit! The all-day conference, hosted by the U.S. Department of Energy (DOE), will take place on July 9 in Atlanta, Georgia, at the Renaissance Atlanta Midtown Hotel. The Southeast Regional Summit will bring together leaders from industry, academia, and government to focus on competitiveness and innovation in clean energy manufacturing throughout the southeastern United States. The Summit is the third in a series organized around the country, and will convene key stakeholders to:

  20. UNITED STATES ENVIRONMENTAL PROTECTION AGENCY REGION

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ENVIRONMENTAL PROTECTION AGENCY REGION 6 1445 ROSS AVENUE, SU ITE 1200 DALLAS TX 75202-2733 HAY *2 1 2013 CERTIFIED MAIL- RETURN RECEIPT REQUESTED Jose R. Franco Manager U.S. Department of Energy Carlsbad Field Office P.O. Box 3090 Carlsbad, NM 8822 1 RE: United States Environmental Protection Agency (EPA) Region 6 Re-authorization Approval to the Waste Isolation Pilot Plant (WIPP) for the Storage and Disposal of Polychlorinated Biphenyls (PCBs) at this Plant Located in Carlsbad, New Mexico.

  1. Figure F2. Electricity market module regions

    Energy Information Administration (EIA) (indexed site)

    F-3 U.S. Energy Information Administration | Annual Energy Outlook 2016 Regional maps Figure F2. Electricity market module regions Source: U.S. Energy Information Administration, Office of Energy Analysis. 1 2 3 4 5 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 6 7 1. ERCT TRE All 2. FRCC FRCC All 3. MROE MRO East 4. MROW MRO West 5. NEWE NPCC New England 6. NYCW NPCC NYC/Westchester 7. NYLI NPCC Long Island 8. NYUP NPCC Upstate NY 9. RFCE RFC East 10. RFCM RFC Michigan 11. RFCW RFC West 12. SRDA

  2. Southwest Regional Partnership on Carbon Sequestration

    SciTech Connect

    Brian McPherson

    2006-03-31

    The Southwest Partnership on Carbon Sequestration completed its Phase I program in December 2005. The main objective of the Southwest Partnership Phase I project was to evaluate and demonstrate the means for achieving an 18% reduction in carbon intensity by 2012. Many other goals were accomplished on the way to this objective, including (1) analysis of CO{sub 2} storage options in the region, including characterization of storage capacities and transportation options, (2) analysis and summary of CO{sub 2} sources, (3) analysis and summary of CO{sub 2} separation and capture technologies employed in the region, (4) evaluation and ranking of the most appropriate sequestration technologies for capture and storage of CO{sub 2} in the Southwest Region, (5) dissemination of existing regulatory/permitting requirements, and (6) assessing and initiating public knowledge and acceptance of possible sequestration approaches. Results of the Southwest Partnership's Phase I evaluation suggested that the most convenient and practical ''first opportunities'' for sequestration would lie along existing CO{sub 2} pipelines in the region. Action plans for six Phase II validation tests in the region were developed, with a portfolio that includes four geologic pilot tests distributed among Utah, New Mexico, and Texas. The Partnership will also conduct a regional terrestrial sequestration pilot program focusing on improved terrestrial MMV methods and reporting approaches specific for the Southwest region. The sixth and final validation test consists of a local-scale terrestrial pilot involving restoration of riparian lands for sequestration purposes. The validation test will use desalinated waters produced from one of the geologic pilot tests. The Southwest Regional Partnership comprises a large, diverse group of expert organizations and individuals specializing in carbon sequestration science and engineering, as well as public policy and outreach. These partners include 21 state

  3. Southeast Regional Clean Energy Policy Analysis (Revised)

    SciTech Connect

    McLaren, J.

    2011-04-01

    More than half of the electricity produced in the southeastern states is fuelled by coal. Although the region produces some coal, most of the states depend heavily on coal imports. Many of the region's aging coal power facilities are planned for retirement within the next 20 years. However, estimates indicate that a 20% increase in capacity is needed over that time to meet the rapidly growing demand. The most common incentives for energy efficiency in the Southeast are loans and rebates; however, total public spending on energy efficiency is limited. The most common state-level policies to support renewable energy development are personal and corporate tax incentives and loans. The region produced 1.8% of the electricity from renewable resources other than conventional hydroelectricity in 2009, half of the national average. There is significant potential for development of a biomass market in the region, as well as use of local wind, solar, methane-to-energy, small hydro, and combined heat and power resources. Options are offered for expanding and strengthening state-level policies such as decoupling, integrated resource planning, building codes, net metering, and interconnection standards to support further clean energy development. Benefits would include energy security, job creation, insurance against price fluctuations, increased value of marginal lands, and local and global environmental paybacks.

  4. Interaction Region Issues at the NLC

    SciTech Connect

    Markiewicz, Thomas W.; Maruyama, T.; /SLAC

    2007-09-26

    Two detector concepts are being investigated for the Next Linear Collider. This paper discusses the current design of the interaction region for one of them, based on a 6 Tesla solenoid and silicon based tracking. Topics include masking layout, backgrounds and the suppression of final quadrupole jitter. All calculations are based on the 1 TeV design parameters.

  5. Root region airfoil for wind turbine

    DOEpatents

    Tangler, James L.; Somers, Dan M.

    1995-01-01

    A thick airfoil for the root region of the blade of a wind turbine. The airfoil has a thickness in a range from 24%-26% and a Reynolds number in a range from 1,000,000 to 1,800,000. The airfoil has a maximum lift coefficient of 1.4-1.6 that has minimum sensitivity to roughness effects.

  6. The regional electromagnetics workshop in the USA

    SciTech Connect

    Turner, L.R.

    1986-11-01

    At the Second Regional Workshop, held at Argonne National Laboratory 23 to 24 June 1986, fifteen participants from four countries heard ten presentations on Problems 1, 2, and 6. This note includes information about the workshop and summaries of the results for Problems 1 and 2.

  7. Southeast Regional Clean Energy Policy Analysis

    SciTech Connect

    McLaren, Joyce

    2011-04-01

    More than half of the electricity produced in the southeastern states is fuelled by coal. Although the region produces some coal, most of the states depend heavily on coal imports. Many of the region's aging coal power facilities are planned for retirement within the next 20 years. However, estimates indicate that a 20% increase in capacity is needed over that time to meet the rapidly growing demand. The most common incentives for energy efficiency in the Southeast are loans and rebates; however, total public spending on energy efficiency is limited. The most common state-level policies to support renewable energy development are personal and corporate tax incentives and loans. The region produced 1.8% of the electricity from renewable resources other than conventional hydroelectricity in 2009, half of the national average. There is significant potential for development of a biomass market in the region, as well as use of local wind, solar, methane-to-energy, small hydro, and combined heat and power resources. Options are offered for expanding and strengthening state-level policies such as decoupling, integrated resource planning, building codes, net metering, and interconnection standards to support further clean energy development. Benefits would include energy security, job creation, insurance against price fluctuations, increased value of marginal lands, and local and global environmental paybacks.

  8. HUD Region 9 Environmental Review Training

    Office of Energy Efficiency and Renewable Energy (EERE)

    The U.S. Department of Housing and Urban Development (HUD) is hosting a Region 9 Environmental Review Training is multiple cities with physical and video conferencing available. This training is tended to help CDBG, ESG, tribal and public housing grantees understand and fulfill the federal environment requirements of their programs.

  9. IAC Fact Sheet Region 5 | Department of Energy

    Office of Environmental Management (EM)

    Fact Sheet Region 5 IAC Fact Sheet Region 5 IAC-EPA Region 5 - Illinois Fact Sheet.pdf (363.82 KB) IAC-EPA Region 5 - Indiana Fact Sheet.pdf (355.11 KB) IAC-EPA Region 5 - Iowa ...

  10. SOUTHEAST REGIONAL CARBON SEQUESTRATION PARTNERSHIP (SECARB)

    SciTech Connect

    Kenneth J. Nemeth

    2004-09-01

    The Southeast Regional Carbon Sequestration Partnership (SECARB) is on schedule and within budget projections for the work completed during the first year of its two year program. Work during the semiannual period (third and fourth quarter) of the project (April 1--September 30, 2004) was conducted within a ''Task Responsibility Matrix.'' Under Task 1.0 Define Geographic Boundaries of the Region, Texas and Virginia were added during the second quarter of the project and no geographical changes occurred during the third or fourth quarter of the project. Under Task 2.0 Characterize the Region, general mapping and screening of sources and sinks has been completed, with integration and Geographical Information System (GIS) mapping ongoing. The first step focused on the macro level characterization of the region. Subsequent characterization will focus on smaller areas having high sequestration potential. Under Task 3.0 Identify and Address Issues for Technology Deployment, SECARB has completed a preliminary assessment of safety, regulatory, permitting, and accounting frameworks within the region to allow for wide-scale deployment of promising terrestrial and geologic sequestration approaches. Under Task 4.0 Develop Public Involvement and Education Mechanisms, SECARB has conducted a survey and focus group meeting to gain insight into approaches that will be taken to educate and involve the public. Task 5.0 and 6.0 will be implemented beginning October 1, 2004. Under Task 5.0 Identify the Most Promising Capture, Sequestration, and Transport Options, SECARB will evaluate findings from work performed during the first year and shift the focus of the project team from region-wide mapping and characterization to a more detailed screening approach designed to identify the most promising opportunities. Under Task 6.0 Prepare Action Plans for Implementation and Technology Validation Activity, the SECARB team will develop an integrated approach to implementing and setting up

  11. Southeast Regional Carbon Sequestration Partnership (SECARB)

    SciTech Connect

    Kenneth J. Nemeth

    2005-09-30

    The Southeast Regional Carbon Sequestration Partnership (SECARB) is a diverse partnership covering eleven states involving the Southern States Energy Board (SSEB) an interstate compact; regulatory agencies and/or geological surveys from member states; the Electric Power Research Institute (EPRI); academic institutions; a Native American enterprise; and multiple entities from the private sector. Figure 1 shows the team structure for the partnership. In addition to the Technical Team, the Technology Coalition, an alliance of auxiliary participants, in the project lends yet more strength and support to the project. The Technology Coalition, with its diverse representation of various sectors, is integral to the technical information transfer, outreach, and public perception activities of the partnership. The Technology Coalition members, shown in Figure 2, also provide a breadth of knowledge and capabilities in the multiplicity of technologies needed to assure a successful outcome to the project and serve as an extremely important asset to the partnership. The eleven states comprising the multi-state region are: Alabama; Arkansas; Florida; Georgia; Louisiana; Mississippi; North Carolina; South Carolina; Tennessee; Texas; and Virginia. The states making up the SECARB area are illustrated in Figure 3. The primary objectives of the SECARB project include: (1) Supporting the U.S. Department of Energy (DOE) Carbon Sequestration Program by promoting the development of a framework and infrastructure necessary for the validation and deployment of carbon sequestration technologies. This requires the development of relevant data to reduce the uncertainties and risks that are barriers to sequestration, especially for geologic storage in the SECARB region. Information and knowledge are the keys to establishing a regional carbon dioxide (CO{sub 2}) storage industry with public acceptance. (2) Supporting the President's Global Climate Change Initiative with the goal of reducing

  12. Regional assessment of aquifers for thermal-energy storage. Volume 2. Regions 7 through 12

    SciTech Connect

    Not Available

    1981-06-01

    This volume contains information on the geologic and hydrologic framework, major aquifers, aquifers which are suitable and unsuitable for annual thermal energy storage (ATES) and the ATES potential of the following regions of the US: Unglaciated Central Region; Glaciated Appalachians, Unglaciated Appalachians; Coastal Plain; Hawaii; and Alaska. (LCL)

  13. Regional assessment of aquifers for thermal energy storage. Volume 1. Regions 1 through 6

    SciTech Connect

    Not Available

    1981-06-01

    This volume contains information on the geologic and hydrologic framework, major aquifers, aquifers which are suitable and unsuitable for annual thermal energy storage (ATES) and the ATES potential of the following regions of the US: the Western Mountains; Alluvial Basins; Columbia LAVA Plateau; Colorado Plateau; High Plains; and Glaciated Central Region. (LCL)

  14. SOUTHEAST REGIONAL CARBON SEQUESTRATION PARTNERSHP (SECARB)

    SciTech Connect

    Kenneth J. Nemeth

    2005-04-01

    The Southeast Regional Carbon Sequestration Partnership (SECARB) is on schedule and within budget projections for the work completed during the first 18-months of its two year program. Work during the semiannual period (fifth and sixth project quarters) of the project (October 1, 2004-March 31, 2005) was conducted within a ''Task Responsibility Matrix.'' Under Task 1.0 Define Geographic Boundaries of the Region, no changes occurred during the fifth or sixth quarters of the project. Under Task 2.0 Characterize the Region, refinements have been made to the general mapping and screening of sources and sinks. Integration and geographical information systems (GIS) mapping is ongoing. Characterization during this period was focused on smaller areas having high sequestration potential. Under Task 3.0 Identify and Address Issues for Technology Deployment, SECARB continues to expand upon its assessment of safety, regulatory, permitting, and accounting frameworks within the region to allow for wide-scale deployment of promising terrestrial and geologic sequestration approaches. Under Task 4.0 Develop Public Involvement and Education Mechanisms, SECARB has used results of a survey and focus group meeting to refine approaches that are being taken to educate and involve the public. Under Task 5.0 Identify the Most Promising Capture, Sequestration, and Transport Options, SECARB has evaluated findings from work performed during the first 18-months. The focus of the project team has shifted from region-wide mapping and characterization to a more detailed screening approach designed to identify the most promising opportunities. Under Task 6.0 Prepare Action Plans for Implementation and Technology Validation Activity, the SECARB team is developing an integrated approach to implementing the most promising opportunities and in setting up measurement, monitoring and verification (MMV) programs for the most promising opportunities. Milestones completed during the fifth and sixth project

  15. Furnace Standard Analysis Discussion Document

    Energy Saver

    ... energy source and region AGAAPGA Studies Data * Survey results on current distribution ... in the Analysis - Based on U.S. Census Regions Model indicates a condensing ...

  16. The Midwest Regional Carbon Sequestration Partnership (MRCSP)

    SciTech Connect

    James J. Dooley; Robert Dahowski; Casie Davidson

    2005-12-01

    This final report summarizes the Phase I research conducted by the Midwest regional Carbon Sequestration Partnership (MRCSP). The Phase I effort began in October 2003 and the project period ended on September 31, 2005. The MRCSP is a public/private partnership led by Battelle with the mission of identifying the technical, economic, and social issues associated with implementation of carbon sequestration technologies in its seven state geographic region (Indiana, Kentucky, Maryland, Michigan, Ohio, Pennsylvania, and West Virginia) and identifying viable pathways for their deployment. It is one of seven partnerships that together span most of the U.S. and parts of Canada that comprise the U.S. Department of Energy's (DOE's) Regional Carbon Sequestration Program led by DOE's national Energy Technology Laboratory (NETL). The MRCSP Phase I research was carried out under DOE Cooperative Agreement No. DE-FC26-03NT41981. The total value of Phase I was $3,513,513 of which the DOE share was $2,410,967 or 68.62%. The remainder of the cost share was provided in varying amounts by the rest of the 38 members of MRCSP's Phase I project. The next largest cost sharing participant to DOE in Phase I was the Ohio Coal Development Office within the Ohio Air Quality Development Authority (OCDO). OCDO's contribution was $100,000 and was contributed under Grant Agreement No. CDO/D-02-17. In this report, the MRCSP's research shows that the seven state MRCSP region is a major contributor to the U. S. economy and also to total emissions of CO2, the most significant of the greenhouse gases thought to contribute to global climate change. But, the research has also shown that the region has substantial resources for sequestering carbon, both in deep geological reservoirs (geological sequestration) and through improved agricultural and land management practices (terrestrial sequestration). Geological reservoirs, especially deep saline reservoirs, offer the potential to permanently store CO2 for

  17. Oklahoma Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    Oklahoma Regions National Science Bowl (NSB) NSB Home About High School High School ... High School Regionals Oklahoma Regions Print Text Size: A A A FeedbackShare Page Oklahoma ...

  18. National Clean Energy Business Plan Competition: Six Regional Winners

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Advance to Final Round | Department of Energy Six Regional Winners Advance to Final Round National Clean Energy Business Plan Competition: Six Regional Winners Advance to Final Round May 16, 2014 - 1:14pm Addthis Western Southwest Region Winner 1 of 5 Western Southwest Region Winner KAir Battery won the Rice Business Plan Competition for its cost-effective large-scale stationary potassium-air battery. Image: Courtesy of KAir Battery Southeastern Region Winner 2 of 5 Southeastern Region

  19. Electric System Decision Making in Other Regions: A Preliminary Analysis

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Prepared for Western Interstate Energy Board Committee on Regional Electric Power Cooperation | Department of Energy System Decision Making in Other Regions: A Preliminary Analysis Prepared for Western Interstate Energy Board Committee on Regional Electric Power Cooperation Electric System Decision Making in Other Regions: A Preliminary Analysis Prepared for Western Interstate Energy Board Committee on Regional Electric Power Cooperation The nation's electricity system is regional in nature,

  20. National Clean Energy Business Plan Competition: 2014 Regional Winners |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy National Clean Energy Business Plan Competition: 2014 Regional Winners National Clean Energy Business Plan Competition: 2014 Regional Winners Addthis Western Southwest Region Winner 1 of 5 Western Southwest Region Winner KAir Battery won the Rice Business Plan Competition for its cost-effective large-scale stationary potassium-air battery. Image: Courtesy of KAir Battery Southeastern Region Winner 2 of 5 Southeastern Region Winner Energy Internet won the ACC Clean Energy

  1. State and Regional Hydrogen Initiatives Meeting, Challenges for State and

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Regional Hydrogen Initiatives | Department of Energy and Regional Hydrogen Initiatives Meeting, Challenges for State and Regional Hydrogen Initiatives State and Regional Hydrogen Initiatives Meeting, Challenges for State and Regional Hydrogen Initiatives These notes from the State and Regional Hydrogen Initiatives Meeting in March 2007 provides discussion points from the Coalition Management Breakout Session. coalition_management_nordstrom.pdf (119.59 KB) More Documents & Publications

  2. http://factfinder.census.gov/servlet/MetadataBrowserServlet?typ

    National Nuclear Security Administration (NNSA)

    ... population 15 years and over P159A POVERTY STATUS IN 1999 BY AGE (WHITE ALONE) 17 Universe: White alone population for whom poverty status is determined P159B POVERTY STATUS ...

  3. Yukon-Koyukuk Census Area, Alaska: Energy Resources | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Alaska Nikolai, Alaska Nulato, Alaska Rampart, Alaska Ruby, Alaska Shageluk, Alaska Stevens Village, Alaska Takotna, Alaska Tanana, Alaska Venetie, Alaska Wiseman, Alaska...

  4. Bethel Census Area, Alaska: Energy Resources | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Alaska Nunapitchuk, Alaska Oscarville, Alaska Platinum, Alaska Quinhagak, Alaska Red Devil, Alaska Sleetmute, Alaska Stony River, Alaska Toksook Bay, Alaska Tuluksak,...

  5. http://factfinder.census.gov/servlet/MetadataBrowserServlet?typ

    National Nuclear Security Administration (NNSA)

    H4 PERCENT OF HOUSING UNITS IN SAMPLE BY OCCUPANCY STATUS 2 Universe: Housing units H5 URBAN AND RURAL 7 Universe: Housing units H6 OCCUPANCY STATUS 3 Universe: Housing...

  6. Aleutians West Census Area, Alaska: Energy Resources | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Adak, Alaska Atka, Alaska Attu Station, Alaska Nikolski, Alaska St. George, Alaska St. Paul, Alaska Unalaska, Alaska Retrieved from "http:en.openei.orgwindex.php?titleAleutia...

  7. A VARIABLE STAR CENSUS IN A PERSEUS FIELD

    SciTech Connect

    Pasternacki, T.; Csizmadia, Sz.; Cabrera, J.; Eigmueller, P.; Erikson, A.; Fruth, T.; Von Paris, P.; Rauer, H.; Titz, R.; Eisloeffel, J.; Hatzes, A.; Boer, M.; Tournois, G.; Kabath, P.; Hedelt, P.; Voss, H.

    2011-10-15

    The Berlin Exoplanet Search Telescope is a small-aperture, wide-field telescope dedicated to time-series photometric observations. During an initial commissioning phase at the Thueringer Landessternwarte Tautenburg, Germany, and subsequent operations at the Observatoire de Haute-Provence, France, a 10 deg{sup 2} circumpolar field close to the galactic plane centered at ({alpha}, {delta}) = (02{sup h}39{sup m}23{sup s}, + 52{sup 0}01'46'') (J2000.0) was observed between 2001 August and 2006 December during 52 nights. From the 32129 stars observed, a subsample of 145 stars with clear stellar variability was detected out of which 125 are newly identified variable objects. For five bright objects, the system parameters were derived by modeling the light curve.

  8. Analysis of Solar Census Remote Solar Access Value Calculation Methodology

    SciTech Connect

    Nangle, J.; Dean, J.; Van Geet, O.

    2015-03-01

    The costs of photovoltaic (PV) system hardware (PV panels, inverters, racking, etc.) have fallen dramatically over the past few years. Nonhardware (soft) costs, however, have failed to keep pace with the decrease in hardware costs, and soft costs have become a major driver of U.S. PV system prices. Upfront or 'sunken' customer acquisition costs make up a portion of an installation's soft costs and can be addressed through software solutions that aim to streamline sales and system design aspects of customer acquisition. One of the key soft costs associated with sales and system design is collecting information on solar access for a particular site. Solar access, reported in solar access values (SAVs), is a measurement of the available clear sky over a site and is used to characterize the impacts of local shading objects. Historically, onsite shading studies have been required to characterize the SAV of the proposed array and determine the potential energy production of a photovoltaic system.

  9. THE EXOPLANET CENSUS: A GENERAL METHOD APPLIED TO KEPLER

    SciTech Connect

    Youdin, Andrew N.

    2011-11-20

    We develop a general method to fit the underlying planetary distribution function (PLDF) to exoplanet survey data. This maximum likelihood method accommodates more than one planet per star and any number of planet or target star properties. We apply the method to announced Kepler planet candidates that transit solar-type stars. The Kepler team's estimates of the detection efficiency are used and are shown to agree with theoretical predictions for an ideal transit survey. The PLDF is fit to a joint power law in planet radius, down to 0.5 R{sub Circled-Plus }, and orbital period, up to 50 days. The estimated number of planets per star in this sample is {approx}0.7-1.4, where the range covers systematic uncertainties in the detection efficiency. To analyze trends in the PLDF we consider four planet samples, divided between shorter and longer periods at 7 days and between large and small radii at 3 R{sub Circled-Plus }. The size distribution changes appreciably between these four samples, revealing a relative deficit of {approx}3 R{sub Circled-Plus} planets at the shortest periods. This deficit is suggestive of preferential evaporation and sublimation of Neptune- and Saturn-like planets. If the trend and explanation hold, it would be spectacular observational support of the core accretion and migration hypotheses, and would allow refinement of these theories.

  10. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE...

    Energy Information Administration (EIA) (indexed site)

    ...2,41,,1,,507,100,"PUBLISHERS PAPER CO","OREGON CITY",3450,,0,0,0,1271,,"I",72,692500,0,...1,2,0,127,23,"PACIFIC POWER & LIGHT CO","COOS BAY",15000,"WOOD",0,0,0,1271,,240,72,0,0,0,0,0...

  11. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE...

    Energy Information Administration (EIA) (indexed site)

    ...2,41,,1,,507,100,"PUBLISHERS PAPER CO","OREGON CITY",3450,,0,0,0,1270,,"I",71,0,0,0,0,0...1,2,0,127,23,"PACIFIC POWER & LIGHT CO","COOS BAY",15000,"WOOD",0,0,0,1270,,240,71,0,0,0,0,0...

  12. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE...

    Energy Information Administration (EIA) (indexed site)

    ...2,41,,1,,507,100,"PUBLISHERS PAPER CO","OREGON CITY",3450,,0,0,0,1272,,"I",73,0,0,0,0,0...1,2,0,127,23,"PACIFIC POWER & LIGHT CO","COOS BAY",0,"WOOD",150,0,0,1273,"R",240,73,0,0,0,0,...

  13. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE...

    Energy Information Administration (EIA) (indexed site)

    ...2,41,,1,,507,100,"PUBLISHERS PAPER CO","OREGON CITY",3450,,0,0,0,1269,,"I",70,314500,0,...1,2,0,127,23,"PACIFIC POWER & LIGHT CO","COOS BAY",15000,"WOOD",0,0,0,1269,,,70,500,0,0,500,...

  14. METHOD OF CONDUCTING A PERSON BETWEEN A SAFE REGION AND A DANGEROUS REGION

    DOEpatents

    Moulthrop, H.A.

    1957-11-12

    This invention relates to a method for conducting a person between a safe region and a dangerous or con taminated region so that he may work in the dangerous region without risk to himself or the hinderance of an attached tube, and without danger of contaminating the safe region. A safely suit in which a person is to work is connected by a thermoplastic tube, turned partially inside out, to a hole in the wall separating the dangerous region. The tube is sealed by pressure and separated into two parts at the seal, whereupon the person in the suit may move around freely in the dangerous area. When the person desires to exit the dangerous region, the parts of the tube are resealed, removing a portion of the tube at the seal, and the person leaves the hole whcre he entered, seals the tube to close the hole, and cuts his suit free from the tube. Bands of masking tape inside and outside of the tube at predetermined points simplify the pressure sealing of the tube at the desired points. This patent provides a simple, safe and economical method of freely working in a dangerous region.

  15. The makings of a regional transmission group

    SciTech Connect

    Peterson, H.

    1994-04-15

    The Southwest Regional Transmission Association (SWRTA) plans to file this month at the Federal Energy Regulatory Commission (FERC) for recognition as a regional transmission group (RTG), pursuant to the FERC's July 1993 policy statement on RTGs. As the provision of electricity becomes less regulated and more competitive, many industry observers expect RTGs to play a key role in increasing the efficiency of our nation's electricity supply system. What exactly is an RTG There are as many definitions as there are interested parties. SWRTA's working group has spent over two years turning an idea into an RTG. Along the way they have learned a few important things about the FERC, congressional intent, the amended Federal Power Act, the dynamics of large groups, and fairness. This article describes the creation of the SWRTA RTG.

  16. Regional partnerships lead US carbon sequestration efforts

    SciTech Connect

    NONE

    2007-07-01

    During the sixth annual conference on carbon capture and sequestration, 7-10 May 2007, a snapshot was given of progress on characterization efforts and field validation tests being carried out through the Carbon Sequestration Regional Partnership Initiative. The initiative is built on the recognition that geographical differences in fossil fuel/energy use and CO{sub 2} storage sinks across North America will dictate approaches to carbon sequestration. The first characterization phase (2003-2005) identified regional opportunities and developed frameworks to validate and deploy technologies. The validation phase (2005-2009) includes 10 enhanced oil recovery/enhanced gas recovery field tests in progress in Alberta and six US states and is applying lessons learned from these operations to sequestration in unmineable coal seams. Storage in saline formations are the focus of 10 field tests, and terrestrial sequestration will be studied in 11 other projects. 1 tab., 3 photos.

  17. Jefferson Lab hosts 19 schools for Virginia Regional High School...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Feb. 10, to compete in the Virginia Regional High School Science Bowl. Nineteen teams, representing high schools from across the region are participating in this year's...

  18. Iowa Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    that is designated for your school's state, county, city, or district. For more information, please visit the Middle School Coach page. Iowa Region Middle School Regional Iowa Iowa...

  19. Connecticut Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    for your school's state, county, city, or district. For more information, please visit the High School Coach page. Connecticut Region High School Regional Connecticut Connecticut...

  20. Montana Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    is designated for your school's state, county, city, or district. For more information, please visit the High School Coach page. Montana Region High School Regional Montana Montana...