National Library of Energy BETA

Sample records for renewables statistical statistics

  1. South Carolina Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Solar Photovoltaic Cell/Module Shipments Report September 2016 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Improving the Quality and Scope of EIA Data i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or

  2. Wyoming Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Wyoming Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity ...

  3. Colorado Renewable Electric Power Industry Statistics

    Annual Energy Outlook

    Colorado Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer ...

  4. Iowa Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Iowa Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity ...

  5. West Virginia Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    West Virginia Primary Renewable Energy Capacity Source Wind Primary Renewable Energy ... - - Hydro Conventional 285 1.7 Solar - - Wind 431 2.6 WoodWood Waste - - MSWLandfill ...

  6. Oklahoma Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Oklahoma Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer ...

  7. Kansas Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Kansas Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity ...

  8. Maryland Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Maryland" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Hydro Conventional" "Capacity (megawatts)","Value","Percent ...

  9. Virginia Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Virginia" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Hydro Conventional" "Capacity (megawatts)","Value","Percent ...

  10. Illinois Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Illinois" "Primary Renewable Energy Capacity Source","Wind" "Primary Renewable Energy Generation Source","Wind" "Capacity (megawatts)","Value","Percent of State Total" "Total Net ...

  11. South Dakota Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Dakota Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 3,623 100.0 Total Net Summer Renewable Capacity 2,223 61.3 Geothermal - - Hydro Conventional 1,594 44.0 Solar - - Wind 629 17.3 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 10,050 100.0 Total

  12. Montana Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Montana Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 5,866 100.0 Total Net Summer Renewable Capacity 3,085 52.6 Geothermal - - Hydro Conventional 2,705 46.1 Solar - - Wind 379 6.5 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 29,791 100.0 Total

  13. Connecticut Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Connecticut Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 8,284 100.0 Total Net Summer Renewable Capacity 281 3.4 Geothermal - - Hydro Conventional 122 1.5 Solar - - Wind - - Wood/Wood Waste - - MSW/Landfill Gas 159 1.9 Other Biomass - - Generation (thousand megawatthours) Total Electricity Net

  14. Alabama Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Alabama Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 32,417 100.0 Total Net Summer Renewable Capacity 3,855 11.9 Geothermal - - Hydro Conventional 3,272 10.1 Solar - - Wind - - Wood/Wood Waste 583 1.8 MSW/Landfill Gas - - Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 152,151 100.0 Total

  15. Texas Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Texas Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 108,258 100.0 Total Net Summer Renewable Capacity 10,985 10.1 Geothermal - - Hydro Conventional 689 0.6 Solar 14 * Wind 9,952 9.2 Wood/Wood Waste 215 0.2 MSW/Landfill Gas 88 0.1 Other Biomass 28 * Generation (thousand megawatthours) Total Electricity Net Generation 411,695 100.0 Total Renewable Net Generation

  16. Maryland Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Maryland Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 12,516 100.0 Total Net Summer Renewable Capacity 799 6.4 Geothermal - - Hydro Conventional 590 4.7 Solar 1 * Wind 70 0.6 Wood/Wood Waste 3 * MSW/Landfill Gas 135 1.1 Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 43,607 100.0 Total Renewable

  17. Minnesota Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Minnesota Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 14,715 100.0 Total Net Summer Renewable Capacity 2,588 17.6 Geothermal - - Hydro Conventional 193 1.3 Solar - - Wind 2,009 13.7 Wood/Wood Waste 177 1.2 MSW/Landfill Gas 134 0.9 Other Biomass 75 0.5 Generation (thousand megawatthours) Total Electricity Net Generation 53,670 100.0 Total Renewable Net

  18. Nebraska Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Nebraska Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 7,857 100.0 Total Net Summer Renewable Capacity 443 5.6 Geothermal - - Hydro Conventional 278 3.5 Solar - - Wind 154 2.0 Wood/Wood Waste - - MSW/Landfill Gas 6 0.1 Other Biomass 5 0.1 Generation (thousand megawatthours) Total Electricity Net Generation 36,630 100.0 Total Renewable

  19. New Mexico Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Mexico Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 8,130 100.0 Total Net Summer Renewable Capacity 818 10.1 Geothermal - - Hydro Conventional 82 1.0 Solar 30 0.4 Wind 700 8.6 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass 6 0.1 Generation (thousand megawatthours) Total Electricity Net Generation 36,252 100.0 Total Renewable Net Generation 2,072 5.7

  20. North Dakota Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Dakota Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 6,188 100.0 Total Net Summer Renewable Capacity 1,941 31.4 Geothermal - - Hydro Conventional 508 8.2 Solar - - Wind 1,423 23.0 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass 10 0.2 Generation (thousand megawatthours) Total Electricity Net Generation 34,740 100.0 Total Renewable Net Generation 6,150

  1. Tennessee Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Tennessee Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 21,417 100.0 Total Net Summer Renewable Capacity 2,847 13.3 Geothermal - - Hydro Conventional 2,624 12.3 Solar - - Wind 29 0.1 Wood/Wood Waste 185 0.9 MSW/Landfill Gas 6 * Other Biomass 2 * Generation (thousand megawatthours) Total Electricity Net Generation 82,349 100.0 Total

  2. Tennessee Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Tennessee" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Hydro Conventional" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",21417,100 "Total Net Summer Renewable Capacity",2847,13.3 " Geothermal","-","-" " Hydro Conventional",2624,12.3 "

  3. Texas Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Texas" "Primary Renewable Energy Capacity Source","Wind" "Primary Renewable Energy Generation Source","Wind" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",108258,100 "Total Net Summer Renewable Capacity",10985,10.1 " Geothermal","-","-" " Hydro Conventional",689,0.6 " Solar",14,"*" "

  4. Pennsylvania Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Pennsylvania Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 45,575 100.0 Total Net Summer Renewable Capacity 1,984 4.4 Geothermal - - Hydro Conventional 747 1.6 Solar 9 * Wind 696 1.5 Wood/Wood Waste 108 0.2 MSW/Landfill Gas 424 0.9 Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 229,752 100.0

  5. Pennsylvania Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Pennsylvania" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Hydro Conventional" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",45575,100 "Total Net Summer Renewable Capacity",1984,4.4 " Geothermal","-","-" " Hydro Conventional",747,1.6 "

  6. Rhode Island Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Rhode Island Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 1,782 100.0 Total Net Summer Renewable Capacity 28 1.6 Geothermal - - Hydro Conventional 3 0.2 Solar - - Wind 2 0.1 Wood/Wood Waste - - MSW/Landfill Gas 24 1.3 Other Biomass - - Generation (thousand megawatthours) Total Electricity Net

  7. Rhode Island Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Rhode Island" "Primary Renewable Energy Capacity Source","Municipal Solid Waste/Landfill Gas" "Primary Renewable Energy Generation Source","Municipal Solid Waste/Landfill Gas" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",1782,100 "Total Net Summer Renewable Capacity",28,1.6 " Geothermal","-","-" " Hydro

  8. South Carolina Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Carolina Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 23,982 100.0 Total Net Summer Renewable Capacity 1,623 6.8 Geothermal - - Hydro Conventional 1,340 5.6 Solar - - Wind - - Wood/Wood Waste 255 1.1 MSW/Landfill Gas 29 0.1 Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 104,153 100.0 Total

  9. South Carolina Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Carolina" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Hydro Conventional" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",23982,100 "Total Net Summer Renewable Capacity",1623,6.8 " Geothermal","-","-" " Hydro Conventional",1340,5.6 "

  10. South Dakota Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Dakota" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Hydro Conventional" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",3623,100 "Total Net Summer Renewable Capacity",2223,61.3 " Geothermal","-","-" " Hydro Conventional",1594,44 "

  11. Louisiana Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Louisiana" "Primary Renewable Energy Capacity Source","Wood/Wood Waste" "Primary Renewable Energy Generation Source","Wood/Wood Waste" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",26744,100 "Total Net Summer Renewable Capacity",517,1.9 " Geothermal","-","-" " Hydro Conventional",192,0.7 "

  12. Maine Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Maine" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Hydro Conventional" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",4430,100 "Total Net Summer Renewable Capacity",1692,38.2 " Geothermal","-","-" " Hydro Conventional",738,16.6 "

  13. Maryland Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Maryland" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Hydro Conventional" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",12516,100 "Total Net Summer Renewable Capacity",799,6.4 " Geothermal","-","-" " Hydro Conventional",590,4.7 "

  14. Massachusetts Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Massachusetts Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 13,697 100.0 Total Net Summer Renewable Capacity 566 4.1 Geothermal - - Hydro Conventional 262 1.9 Solar 4 * Wind 10 0.1 Wood/Wood Waste 26 0.2 MSW/Landfill Gas 255 1.9 Other Biomass 9 0.1 Generation (thousand megawatthours) Total Electricity Net Generation

  15. Massachusetts Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Massachusetts" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Municipal Solid Waste/Landfill Gas" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",13697,100 "Total Net Summer Renewable Capacity",566,4.1 " Geothermal","-","-" " Hydro Conventional",262,1.9

  16. Michigan Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Michigan" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Wood/Wood Waste" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",29831,100 "Total Net Summer Renewable Capacity",807,2.7 " Geothermal","-","-" " Hydro Conventional",237,0.8 "

  17. Minnesota Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Minnesota" "Primary Renewable Energy Capacity Source","Wind" "Primary Renewable Energy Generation Source","Wind" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",14715,100 "Total Net Summer Renewable Capacity",2588,17.6 " Geothermal","-","-" " Hydro Conventional",193,1.3 " Solar","-","-"

  18. Mississippi Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Mississippi" "Primary Renewable Energy Capacity Source","Wood/Wood Waste" "Primary Renewable Energy Generation Source","Wood/Wood Waste" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",15691,100 "Total Net Summer Renewable Capacity",235,1.5 " Geothermal","-","-" " Hydro Conventional","-","-"

  19. Missouri Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Missouri" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Hydro Conventional" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",21739,100 "Total Net Summer Renewable Capacity",1030,4.7 " Geothermal","-","-" " Hydro Conventional",564,2.6 "

  20. Montana Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Montana" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Hydro Conventional" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",5866,100 "Total Net Summer Renewable Capacity",3085,52.6 " Geothermal","-","-" " Hydro Conventional",2705,46.1 "

  1. Nebraska Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Nebraska" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Hydro Conventional" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",7857,100 "Total Net Summer Renewable Capacity",443,5.6 " Geothermal","-","-" " Hydro Conventional",278,3.5 "

  2. Nevada Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Nevada Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 11,421 100.0 Total Net Summer Renewable Capacity 1,507 13.2 Geothermal 319 2.8 Hydro Conventional 1,051 9.2 Solar 137 1.2 Wind - - Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 35,146 100.0 Total

  3. Nevada Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Nevada" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Hydro Conventional" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",11421,100 "Total Net Summer Renewable Capacity",1507,13.2 " Geothermal",319,2.8 " Hydro Conventional",1051,9.2 " Solar",137,1.2 "

  4. New Hampshire Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Hampshire" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Hydro Conventional" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",4180,100 "Total Net Summer Renewable Capacity",671,16.1 " Geothermal","-","-" " Hydro Conventional",489,11.7 "

  5. New Jersey Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Jersey" "Primary Renewable Energy Capacity Source","Municipal Solid Waste/Landfill Gas" "Primary Renewable Energy Generation Source","Municipal Solid Waste/Landfill Gas" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",18424,100 "Total Net Summer Renewable Capacity",230,1.2 " Geothermal","-","-" " Hydro

  6. New Mexico Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Mexico" "Primary Renewable Energy Capacity Source","Wind" "Primary Renewable Energy Generation Source","Wind" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",8130,100 "Total Net Summer Renewable Capacity",818,10.1 " Geothermal","-","-" " Hydro Conventional",82,1 " Solar",30,0.4 " Wind",700,8.6

  7. New York Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    York" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Hydro Conventional" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",39357,100 "Total Net Summer Renewable Capacity",6033,15.3 " Geothermal","-","-" " Hydro Conventional",4314,11 "

  8. North Carolina Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Carolina Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 27,674 100.0 Total Net Summer Renewable Capacity 2,499 9.0 Geothermal - - Hydro Conventional 1,956 7.1 Solar 35 0.1 Wind - - Wood/Wood Waste 481 1.7 MSW/Landfill Gas 27 0.1 Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 128,678 100.0 Total

  9. North Carolina Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Carolina" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Hydro Conventional" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",27674,100 "Total Net Summer Renewable Capacity",2499,9 " Geothermal","-","-" " Hydro Conventional",1956,7.1 "

  10. North Dakota Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    North Dakota" "Primary Renewable Energy Capacity Source","Wind" "Primary Renewable Energy Generation Source","Wind" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",6188,100 "Total Net Summer Renewable Capacity",1941,31.4 " Geothermal","-","-" " Hydro Conventional",508,8.2 "

  11. Ohio Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Ohio" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Hydro Conventional" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",33071,100 "Total Net Summer Renewable Capacity",231,0.7 " Geothermal","-","-" " Hydro Conventional",101,0.3 "

  12. Oklahoma Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Oklahoma" "Primary Renewable Energy Capacity Source","Wind" "Primary Renewable Energy Generation Source","Wind" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",21022,100 "Total Net Summer Renewable Capacity",2412,11.5 " Geothermal","-","-" " Hydro Conventional",858,4.1 " Solar","-","-"

  13. Oregon Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Oregon Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 14,261 100.0 Total Net Summer Renewable Capacity 10,684 74.9 Geothermal - - Hydro Conventional 8,425 59.1 Solar - - Wind 2,004 14.1 Wood/Wood Waste 221 1.6 MSW/Landfill Gas 31 0.2 Other Biomass 3 * Generation (thousand megawatthours) Total Electricity Net Generation 55,127 100.0

  14. Oregon Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Oregon" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Hydro Conventional" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",14261,100 "Total Net Summer Renewable Capacity",10684,74.9 " Geothermal","-","-" " Hydro Conventional",8425,59.1 "

  15. Alabama Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Alabama" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Hydro Conventional" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",32417,100 "Total Net Summer Renewable Capacity",3855,11.9 " Geothermal","-","-" " Hydro Conventional",3272,10.1 "

  16. Alaska Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Alaska" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Hydro Conventional" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",2067,100 "Total Net Summer Renewable Capacity",422,20.4 " Geothermal","-","-" " Hydro Conventional",414,20.1 "

  17. Arizona Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Arizona Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 26,392 100.0 Total Net Summer Renewable Capacity 2,901 11.0 Geothermal - - Hydro Conventional 2,720 10.3 Solar 20 0.1 Wind 128 0.5 Wood/Wood Waste 29 0.1 MSW/Landfill Gas 4 * Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 111,751 100.0 Total

  18. Arizona Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Arizona" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Hydro Conventional" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",26392,100 "Total Net Summer Renewable Capacity",2901,11 " Geothermal","-","-" " Hydro Conventional",2720,10.3 "

  19. Arkansas Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Arkansas" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Hydro Conventional" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",15981,100 "Total Net Summer Renewable Capacity",1667,10.4 " Geothermal","-","-" " Hydro Conventional",1341,8.4 "

  20. California Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    California Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 67,328 100.0 Total Net Summer Renewable Capacity 16,460 24.4 Geothermal 2,004 3.0 Hydro Conventional 10,141 15.1 Solar 475 0.7 Wind 2,812 4.2 Wood/Wood Waste 639 0.9 MSW/Landfill Gas 292 0.4 Other Biomass 97 0.1 Generation (thousand megawatthours) Total Electricity Net

  1. California Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    California" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Hydro Conventional" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",67328,100 "Total Net Summer Renewable Capacity",16460,24.4 " Geothermal",2004,3 " Hydro Conventional",10141,15.1 " Solar",475,0.7 "

  2. Hawaii Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of ... 1.2 Hydro Conventional 24 0.9 Solar 2 0.1 Wind 62 2.4 WoodWood Waste - - MSWLandfill ...

  3. Indiana Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Geothermal - - Hydro Conventional 60 0.2 Solar - - Wind 1,340 4.8 WoodWood Waste - - ... Total Renewable Net Generation 3,699 3.0 Geothermal - - Hydro Conventional 454 0.4 Solar - ...

  4. Illinois Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Geothermal - - Hydro Conventional 34 0.1 Solar 9 * Wind 1,946 4.4 WoodWood Waste - - ... Total Renewable Net Generation 5,257 2.6 Geothermal - - Hydro Conventional 119 0.1 Solar ...

  5. Wisconsin Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Geothermal - - Hydro Conventional 492 2.8 Solar - - Wind 449 2.5 WoodWood Waste 239 1.3 ... Total Renewable Net Generation 4,586 7.1 Geothermal - - Hydro Conventional 2,112 3.3 Solar ...

  6. District of Columbia Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Total Net Summer Renewable Capacity - - Geothermal - - Hydro Conventional - - Solar - - ... Total Renewable Net Generation - - Geothermal - - Hydro Conventional - - Solar - - Wind - ...

  7. District of Columbia Renewable Electric Power Industry Statistics

    Annual Energy Outlook

    - - Hydro Conventional - - Solar - - Wind - - WoodWood Waste - - MSWLandfill Gas - ... Total Renewable Net Generation - - Geothermal - - Hydro Conventional - - Solar - - Wind - ...

  8. Statistical Sciences

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

    6 Statistical Sciences Applying statistical reasoning and rigor to multidisciplinary scientific investigations Contact Us Group Leader James Gattiker (Acting) Email Deputy Group Leader Geralyn Hemphill (Acting) Email Group Administrator LeeAnn Martinez (505) 667-3308 Email Statistical Sciences Statistical Sciences provides statistical reasoning and rigor to multidisciplinary scientific investigations and development, application, and communication of cutting-edge statistical sciences research.

  9. Usage Statistics

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

    Usage Statistics Usage Statistics Genepool Cluster Statistics Period: daily weekly monthly quarter yearly 2year Utilization By Group Jobs Pending Last edited: 2013-09-26 18:21:13...

  10. APS Operational Statistics

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

    Downtime Log Yearly Operation Statistics 2016 Statistics 2015 Statistics 2014 Statistics 2013 Statistics 2012 Statistics 2011 Statistics 2010 Statistics 2009 Statistics 2008...

  11. Cluster Statistics

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

    Statistics Cluster Statistics Ganglia Ganglia can be used to monitor performance of PDSF nodes... Read More PDSF IO Monitoring This page shows the IO response of the elizas and...

  12. Statistical Association

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

    Kelly named Fellow of the American Statistical Association August 2, 2016 The American Statistical Association (ASA) has honored Elizabeth Kelly of the Lab's Statistical Sciences group with the title of Fellow. The ASA recognized her for providing exemplary statistical leadership of and collaboration on multidisciplinary teams dealing with environmental restoration, weapon quality, and nuclear materials storage to ensure the safety and security of the Nation. She will receive the Fellow award at

  13. Cluster Statistics

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

    Genepool Memory Heatmaps Usage Statistics UGE Scheduler Cycle Time File storage and I/O Data Management Genepool Training and Tutorials Websites, databases and cluster services Queues and Scheduling Retired Systems Storage & File Systems Application Performance Data & Analytics Job Logs & Statistics Training & Tutorials Software Policies User Surveys NERSC Users Group Help Staff Blogs Request Repository Mailing List Need Help? Out-of-hours Status and Password help Call

  14. Storage Statistics

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

    Storage Trends and Summaries Storage by Scientific Discipline Troubleshooting I/O Resources for Scientific Applications at NERSC Optimizing I/O performance on the Lustre file system I/O Formats Science Databases Sharing Data Transferring Data Unix Groups at NERSC Unix File Permissions Application Performance Data & Analytics Job Logs & Statistics Training & Tutorials Software Policies User Surveys NERSC Users Group Help Staff Blogs Request Repository Mailing List Home » For Users

  15. ARM - Facility Statistics

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

    ARMFacility Statistics 2015 Quarterly Reports First Quarter (PDF) Second Quarter (PDF) Third Quarter (PDF) Fourth Quarter (PDF) Historical Statistics Field Campaigns Operational...

  16. Statistical Characterization of Medium-Duty Electric Vehicle Drive Cycles; NREL (National Renewable Energy Laboratory)

    SciTech Connect

    Prohaska, R.; Duran, A.; Ragatz, A.; Kelly, K.

    2015-05-03

    With funding from the U.S. Department of Energy’s Vehicle Technologies Office, the National Renewable Energy Laboratory (NREL) conducts real-world performance evaluations of advanced medium- and heavy-duty fleet vehicles. Evaluation results can help vehicle manufacturers fine-tune their designs and assist fleet managers in selecting fuel-efficient, low-emission vehicles that meet their economic and operational goals. In 2011, NREL launched a large-scale performance evaluation of medium-duty electric vehicles. With support from vehicle manufacturers Smith and Navistar, NREL research focused on characterizing vehicle operation and drive cycles for electric delivery vehicles operating in commercial service across the nation.

  17. Office of Survey Development and Statistical Integration

    Gasoline and Diesel Fuel Update

    Steve Harvey April 27, 2011 | Washington, D.C. Tough Choices in U.S. EIA's Data Programs Agenda * Office of Oil, Gas, and Coal Supply Statistics * Office of Petroleum and Biofuels Statistics * Office of Electricity, Renewables, and Uranium Statistics * Office of Energy Consumption and Efficiency Statistics * Office of Survey Development and Statistical Integration 2 Presenter name, Presentation location, Presentation date Coal Data Collection Program 3 James Kendell Washington, DC, April 27,

  18. ARM - Historical Operational Statistics

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

    Operational Statistics 2016 Quarterly Reports First Quarter (PDF) Second Quarter (PDF) Third Quarter (PDF) Fourth Quarter (PDF) Past Quarterly Reports Historical Statistics Field Campaigns Operational Visitors and Accounts Data Archive and Usage (October 1995 - Present) Historical Operational Statistics The reporting requirements for DOE national user facilities are based on time. These requirements concern the actual hours of operation (ACTUAL) and the established maximum operation or uptime

  19. International Energy Statistics

    Energy Information Administration (EIA) (indexed site)

    Eia.gov BETA - Data - U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources & Uses Petroleum &...

  20. Independent Statistics & Analysis

    Energy Information Administration (EIA) (indexed site)

    October 2014 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 Quarterly Coal Distribution Report April - June 2014 This report was...

  1. AMERICAN STATISTICAL ASSOCIATION

    Energy Information Administration (EIA) (indexed site)

    Department of Mathematics and Statistics 4 ... 11 MOSHE FEDER Research Triangle Institute International 12 WALTER W. HILL ... He died in December of 2006. 21 In the Journal of ...

  2. ARM - Historical Visitor Statistics

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

    Operational Visitors and Accounts Data Archive and Usage (October 1995 - Present) Historical Visitor Statistics As a national user facility, ARM is required to report...

  3. Independent Statistics & Analysis

    Energy Information Administration (EIA) (indexed site)

    Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 Quarterly Coal Report (Abbreviated) April - June 2016 September 2016 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should

  4. AMERICAN STATISTICAL ASSOCIATION

    Energy Information Administration (EIA) (indexed site)

    AMERICAN STATISTICAL ASSOCIATION + + + + + COMMITTEE ON ENERGY STATISTICS + + + + + FALL MEETING + + + + + FRIDAY OCTOBER 17, 2003 + + + + + The Committee met in Room 8E089 in the Forrestal Building, 1000 Independence Avenue, S.W., Washington, D.C., at 8:30 a.m., Jay Breidt, Chair, presiding. PRESENT F. JAY BREIDT Chair NICOLAS HENGARTNER Vice Chair JOHNNY BLAIR Committee Member MARK BURTON Committee Member JAE EDMONDS Committee Member MOSHE FEDER Committee Member JAMES K. HAMMITT Committee

  5. Independent Statistics & Analysis

    Energy Information Administration (EIA) (indexed site)

    November 2016 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 Annual Coal Distribution Report 2015 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed

  6. Candidate Assembly Statistical Evaluation

    Energy Science and Technology Software Center

    1998-07-15

    The Savannah River Site (SRS) receives aluminum clad spent Material Test Reactor (MTR) fuel from all over the world for storage and eventual reprocessing. There are hundreds of different kinds of MTR fuels and these fuels will continue to be received at SRS for approximately ten more years. SRS''s current criticality evaluation methodology requires the modeling of all MTR fuels utilizing Monte Carlo codes, which is extremely time consuming and resource intensive. Now that amore » significant number of MTR calculations have been conducted it is feasible to consider building statistical models that will provide reasonable estimations of MTR behavior. These statistical models can be incorporated into a standardized model homogenization spreadsheet package to provide analysts with a means of performing routine MTR fuel analyses with a minimal commitment of time and resources. This became the purpose for development of the Candidate Assembly Statistical Evaluation (CASE) program at SRS.« less

  7. Experimental Mathematics and Computational Statistics

    SciTech Connect

    Bailey, David H.; Borwein, Jonathan M.

    2009-04-30

    The field of statistics has long been noted for techniques to detect patterns and regularities in numerical data. In this article we explore connections between statistics and the emerging field of 'experimental mathematics'. These includes both applications of experimental mathematics in statistics, as well as statistical methods applied to computational mathematics.

  8. International petroleum statistics report

    SciTech Connect

    1995-10-01

    The International Petroleum Statistics Report is a monthly publication that provides current international oil data. This report presents data on international oil production, demand, imports, exports and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). Section 2 presents an oil supply/demand balance for the world, in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries.

  9. [USA] highway statistics, 1997

    SciTech Connect

    1999-11-01

    This is an annual report containing analyzed statistical data on motor fuel; motor vehicles, driver licensing, highway-user taxation; state highway finance; highway mileage; federal aid for highways; highway finance data for municipalities; counties; townships, and other units of local government; select tables/charts from the 1995 Nationwide Personal transportation Survey; and international data. This report has been published since 1945. These and other State-by-State tabulations are all available in electronic form on the Internet at http:///www.fhwa. dot.gov/pubstats.html. The data tables can be viewed in PDF and downloaded as in spreadsheet format.

  10. International petroleum statistics report

    SciTech Connect

    1997-05-01

    The International Petroleum Statistics Report is a monthly publication that provides current international oil data. This report is published for the use of Members of Congress, Federal agencies, State agencies, industry, and the general public. Publication of this report is in keeping with responsibilities given the Energy Information Administration in Public Law 95-91. The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1985 through 1995.

  11. AMERICAN STATISTICAL ASSOCIATION (ASA)

    Energy Information Administration (EIA) (indexed site)

    ... surveys like renewables, alternative fuel vehicles. ... data analysis, forecast, education, and documentation. ... And we always talk about that in our long-term and even some ...

  12. Statistical physics ""Beyond equilibrium

    SciTech Connect

    Ecke, Robert E

    2009-01-01

    The scientific challenges of the 21st century will increasingly involve competing interactions, geometric frustration, spatial and temporal intrinsic inhomogeneity, nanoscale structures, and interactions spanning many scales. We will focus on a broad class of emerging problems that will require new tools in non-equilibrium statistical physics and that will find application in new material functionality, in predicting complex spatial dynamics, and in understanding novel states of matter. Our work will encompass materials under extreme conditions involving elastic/plastic deformation, competing interactions, intrinsic inhomogeneity, frustration in condensed matter systems, scaling phenomena in disordered materials from glasses to granular matter, quantum chemistry applied to nano-scale materials, soft-matter materials, and spatio-temporal properties of both ordinary and complex fluids.

  13. statistics | OpenEI Community

    OpenEI (Open Energy Information) [EERE & EIA]

    statistics Home Rmckeel's picture Submitted by Rmckeel(297) Contributor 8 November, 2012 - 12:58 OpenEI dashboard Google Analytics mediawiki OpenEI statistics wiki OpenEI web...

  14. International petroleum statistics report

    SciTech Connect

    1996-05-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1084 through 1994.

  15. International petroleum statistics report

    SciTech Connect

    1995-11-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1994; OECD stocks from 1973 through 1994; and OECD trade from 1984 through 1994.

  16. International petroleum statistics report

    SciTech Connect

    1995-07-27

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1994; OECD stocks from 1973 through 1994; and OECD trade from 1984 through 1994.

  17. International petroleum statistics report

    SciTech Connect

    1996-10-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. Word oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1985 through 1995.

  18. International petroleum statistics report

    SciTech Connect

    1997-07-01

    The International Petroleum Statistics Report is a monthly publication that provides current international data. The report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent 12 months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1996; OECD stocks from 1973 through 1996; and OECD trade from 1986 through 1996.

  19. ARM - Historical Field Campaign Statistics

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

    Operational Visitors and Accounts Data Archive and Usage (October 1995 - Present) Historical Field Campaign Statistics ARM Climate Research Facility users regularly conduct...

  20. Computing contingency statistics in parallel.

    SciTech Connect

    Bennett, Janine Camille; Thompson, David; Pebay, Philippe Pierre

    2010-09-01

    Statistical analysis is typically used to reduce the dimensionality of and infer meaning from data. A key challenge of any statistical analysis package aimed at large-scale, distributed data is to address the orthogonal issues of parallel scalability and numerical stability. Many statistical techniques, e.g., descriptive statistics or principal component analysis, are based on moments and co-moments and, using robust online update formulas, can be computed in an embarrassingly parallel manner, amenable to a map-reduce style implementation. In this paper we focus on contingency tables, through which numerous derived statistics such as joint and marginal probability, point-wise mutual information, information entropy, and {chi}{sup 2} independence statistics can be directly obtained. However, contingency tables can become large as data size increases, requiring a correspondingly large amount of communication between processors. This potential increase in communication prevents optimal parallel speedup and is the main difference with moment-based statistics where the amount of inter-processor communication is independent of data size. Here we present the design trade-offs which we made to implement the computation of contingency tables in parallel.We also study the parallel speedup and scalability properties of our open source implementation. In particular, we observe optimal speed-up and scalability when the contingency statistics are used in their appropriate context, namely, when the data input is not quasi-diffuse.

  1. Computer, Computational, and Statistical Sciences

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

    CCS Computer, Computational, and Statistical Sciences Computational physics, computer science, applied mathematics, statistics and the integration of large data streams are central to scientific discovery and innovation. Leadership Division Leader Frank J. Alexander (Acting) Email Deputy Division Leader James Cooley (Acting) Email Earth climate map A single time step from an MPAS (Model for Prediction Across Scales) simulation, showing the temperature of the ocean. Building on research in human

  2. Statistical parameters for gloss evaluation

    SciTech Connect

    Peiponen, Kai-Erik; Juuti, Mikko

    2006-02-13

    The measurement of minute changes in local gloss has not been presented in international standards due to a lack of suitable glossmeters. The development of a diffractive-element-based glossmeter (DOG) made it possible to detect local variation of gloss from planar and complex-shaped surfaces. Hence, a demand for proper statistical gloss parameters for classifying surface quality by gloss, similar to the standardized surface roughness classification, has become necessary. In this letter, we define statistical gloss parameters and utilize them as an example in the characterization of gloss from metal surface roughness standards by the DOG.

  3. Key China Energy Statistics 2011

    SciTech Connect

    Levine, Mark; Fridley, David; Lu, Hongyou; Fino-Chen, Cecilia

    2012-01-15

    The China Energy Group at Lawrence Berkeley National Laboratory (LBNL) was established in 1988. Over the years the Group has gained recognition as an authoritative source of China energy statistics through the publication of its China Energy Databook (CED). In 2008 the Group published the Seventh Edition of the CED (http://china.lbl.gov/research/chinaenergy-databook). This handbook summarizes key statistics from the CED and is expressly modeled on the International Energy Agency’s “Key World Energy Statistics” series of publications. The handbook contains timely, clearly-presented data on the supply, transformation, and consumption of all major energy sources.

  4. Key China Energy Statistics 2012

    SciTech Connect

    Levine, Mark; Fridley, David; Lu, Hongyou; Fino-Chen, Cecilia

    2012-05-01

    The China Energy Group at Lawrence Berkeley National Laboratory (LBNL) was established in 1988. Over the years the Group has gained recognition as an authoritative source of China energy statistics through the publication of its China Energy Databook (CED). The Group has published seven editions to date of the CED (http://china.lbl.gov/research/chinaenergy-databook). This handbook summarizes key statistics from the CED and is expressly modeled on the International Energy Agency’s “Key World Energy Statistics” series of publications. The handbook contains timely, clearly-presented data on the supply, transformation, and consumption of all major energy sources.

  5. QUANTUM MECHANICS WITHOUT STATISTICAL POSTULATES

    SciTech Connect

    G. GEIGER; ET AL

    2000-11-01

    The Bohmian formulation of quantum mechanics describes the measurement process in an intuitive way without a reduction postulate. Due to the chaotic motion of the hidden classical particle all statistical features of quantum mechanics during a sequence of repeated measurements can be derived in the framework of a deterministic single system theory.

  6. Ideas for Effective Communication of Statistical Results

    DOE PAGES [OSTI]

    Anderson-Cook, Christine M.

    2015-03-01

    Effective presentation of statistical results to those with less statistical training, including managers and decision-makers requires planning, anticipation and thoughtful delivery. Here are several recommendations for effectively presenting statistical results.

  7. Web Analytics and Statistics | Department of Energy

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

    Web Analytics and Statistics Web Analytics and Statistics EERE uses Google Analytics to capture statistics on its websites. These statistics help website managers measure and report on users, sessions, most visited pages, and more. The Web Template Coordinator can provide you with EERE's username and password and answer questions about your site statistics. Adding Google Analytics to EERE Websites In order for Google Analytics to capture statistics on a site, Google Analytics code has to be

  8. ORISE: Statistical Analyses of Worker Health

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

    appropriate methods of statistical analysis to a variety of problems in occupational health and other areas. Our expertise spans a range of capabilities essential for statistical...

  9. IEA Energy Statistics | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Statistics Jump to: navigation, search Tool Summary LAUNCH TOOL Name: IEA Energy Statistics AgencyCompany Organization: International Energy Agency Sector: Energy Topics: GHG...

  10. VTPI-Transportation Statistics | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Area: Transportation Resource Type: Dataset Website: www.vtpi.orgtdmtdm80.htm Cost: Free VTPI-Transportation Statistics Screenshot References: VTPI-Transportation Statistics1...

  11. STATISTICAL PERFORMANCE EVALUATION OF SPRING OPERATED PRESSURE...

    Office of Scientific and Technical Information (OSTI)

    STATISTICAL PERFORMANCE EVALUATION OF SPRING OPERATED PRESSURE RELIEF VALVE RELIABILITY IMPROVEMENTS 2004 TO 2014 Citation Details In-Document Search Title: STATISTICAL PERFORMANCE ...

  12. Statistical Transmutation in Floquet Driven Optical Lattices...

    Office of Scientific and Technical Information (OSTI)

    Statistical Transmutation in Floquet Driven Optical Lattices Citation Details In-Document Search This content will become publicly available on November 3, 2016 Title: Statistical ...

  13. Statistical Transmutation in Floquet Driven Optical Lattices...

    Office of Scientific and Technical Information (OSTI)

    Statistical Transmutation in Floquet Driven Optical Lattices This content will become publicly available on November 3, 2016 Prev Next Title: Statistical Transmutation in ...

  14. ARM - Lesson Plans: Historical Climate Statistics

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

    Historical Climate Statistics Outreach Home Room News Publications Traditional Knowledge ... Teachers' Toolbox Lesson Plans Lesson Plans: Historical Climate Statistics Objective The ...

  15. Statistically significant relational data mining :

    SciTech Connect

    Berry, Jonathan W.; Leung, Vitus Joseph; Phillips, Cynthia Ann; Pinar, Ali; Robinson, David Gerald; Berger-Wolf, Tanya; Bhowmick, Sanjukta; Casleton, Emily; Kaiser, Mark; Nordman, Daniel J.; Wilson, Alyson G.

    2014-02-01

    This report summarizes the work performed under the project (3z(BStatitically significant relational data mining.(3y (BThe goal of the project was to add more statistical rigor to the fairly ad hoc area of data mining on graphs. Our goal was to develop better algorithms and better ways to evaluate algorithm quality. We concetrated on algorithms for community detection, approximate pattern matching, and graph similarity measures. Approximate pattern matching involves finding an instance of a relatively small pattern, expressed with tolerance, in a large graph of data observed with uncertainty. This report gathers the abstracts and references for the eight refereed publications that have appeared as part of this work. We then archive three pieces of research that have not yet been published. The first is theoretical and experimental evidence that a popular statistical measure for comparison of community assignments favors over-resolved communities over approximations to a ground truth. The second are statistically motivated methods for measuring the quality of an approximate match of a small pattern in a large graph. The third is a new probabilistic random graph model. Statisticians favor these models for graph analysis. The new local structure graph model overcomes some of the issues with popular models such as exponential random graph models and latent variable models.

  16. Transportation Statistics Annual Report 1997

    SciTech Connect

    Fenn, M.

    1997-01-01

    This document is the fourth Transportation Statistics Annual Report (TSAR) prepared by the Bureau of Transportation Statistics (BTS) for the President and Congress. As in previous years, it reports on the state of U.S. transportation system at two levels. First, in Part I, it provides a statistical and interpretive survey of the system—its physical characteristics, its economic attributes, aspects of its use and performance, and the scale and severity of unintended consequences of transportation, such as fatalities and injuries, oil import dependency, and environment impacts. Part I also explores the state of transportation statistics, and new needs of the rapidly changing world of transportation. Second, Part II of the report, as in prior years, explores in detail the performance of the U.S. transportation system from the perspective of desired social outcomes or strategic goals. This year, the performance aspect of transportation chosen for thematic treatment is “Mobility and Access,” which complements past TSAR theme sections on “The Economic Performance of Transportation” (1995) and “Transportation and the Environment” (1996). Mobility and access are at the heart of the transportation system’s performance from the user’s perspective. In what ways and to what extent does the geographic freedom provided by transportation enhance personal fulfillment of the nation’s residents and contribute to economic advancement of people and businesses? This broad question underlies many of the topics examined in Part II: What is the current level of personal mobility in the United States, and how does it vary by sex, age, income level, urban or rural location, and over time? What factors explain variations? Has transportation helped improve people’s access to work, shopping, recreational facilities, and medical services, and in what ways and in what locations? How have barriers, such as age, disabilities, or lack of an automobile, affected these

  17. Statistics, Uncertainty, and Transmitted Variation

    SciTech Connect

    Wendelberger, Joanne Roth

    2014-11-05

    The field of Statistics provides methods for modeling and understanding data and making decisions in the presence of uncertainty. When examining response functions, variation present in the input variables will be transmitted via the response function to the output variables. This phenomenon can potentially have significant impacts on the uncertainty associated with results from subsequent analysis. This presentation will examine the concept of transmitted variation, its impact on designed experiments, and a method for identifying and estimating sources of transmitted variation in certain settings.

  18. Moore named an American Statistical Society Fellow

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

    Moore named an American Statistical Society Fellow Moore named an American Statistical Society Fellow The ASA inducted Leslie (Lisa) Moore as a Fellow at the 2014 Joint Statistical Meetings. October 8, 2014 Leslie (Lisa) Moore Leslie (Lisa) Moore ASA cited Moore for "seminal and creative research on the design of computer experiments; for statistical collaboration on a wide range of problems of scientific and national importance; and for mentoring statisticians and statistical

  19. Lectures on probability and statistics

    SciTech Connect

    Yost, G.P.

    1984-09-01

    These notes are based on a set of statistics lectures delivered at Imperial College to the first-year postgraduate students in High Energy Physics. They are designed for the professional experimental scientist. We begin with the fundamentals of probability theory, in which one makes statements about the set of possible outcomes of an experiment, based upon a complete a priori understanding of the experiment. For example, in a roll of a set of (fair) dice, one understands a priori that any given side of each die is equally likely to turn up. From that, we can calculate the probability of any specified outcome. We finish with the inverse problem, statistics. Here, one begins with a set of actual data (e.g., the outcomes of a number of rolls of the dice), and attempts to make inferences about the state of nature which gave those data (e.g., the likelihood of seeing any given side of any given die turn up). This is a much more difficult problem, of course, and one's solutions often turn out to be unsatisfactory in one respect or another.

  20. Tomography and weak lensing statistics

    SciTech Connect

    Munshi, Dipak; Coles, Peter; Kilbinger, Martin E-mail: peter.coles@astro.cf.ac.uk

    2014-04-01

    We provide generic predictions for the lower order cumulants of weak lensing maps, and their correlators for tomographic bins as well as in three dimensions (3D). Using small-angle approximation, we derive the corresponding one- and two-point probability distribution function for the tomographic maps from different bins and for 3D convergence maps. The modelling of weak lensing statistics is obtained by adopting a detailed prescription for the underlying density contrast that involves hierarchal ansatz and lognormal distribution. We study the dependence of our results on cosmological parameters and source distributions corresponding to the realistic surveys such as LSST and DES. We briefly outline how photometric redshift information can be incorporated in our results. We also show how topological properties of convergence maps can be quantified using our results.

  1. Parallel auto-correlative statistics with VTK.

    SciTech Connect

    Pebay, Philippe Pierre; Bennett, Janine Camille

    2013-08-01

    This report summarizes existing statistical engines in VTK and presents both the serial and parallel auto-correlative statistics engines. It is a sequel to [PT08, BPRT09b, PT09, BPT09, PT10] which studied the parallel descriptive, correlative, multi-correlative, principal component analysis, contingency, k-means, and order statistics engines. The ease of use of the new parallel auto-correlative statistics engine is illustrated by the means of C++ code snippets and algorithm verification is provided. This report justifies the design of the statistics engines with parallel scalability in mind, and provides scalability and speed-up analysis results for the autocorrelative statistics engine.

  2. EERE Statistics Archive | Department of Energy

    Energy.gov [DOE] (indexed site)

    This page provides EERE Web statistics for all office and corporate websites that opted to use EERE's analytics account. Webtrends statistics for Fiscal Year 2009 (FY09) to FY11 ...

  3. DOE - NNSA/NFO -- FOIA Statistics

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

    Statistics NNSANFO Language Options U.S. DOENNSA - Nevada Field Office FOIA Statistics The FOIA has become a useful tool for researchers, news media, and the general public. In ...

  4. STORM: A STatistical Object Representation Model

    SciTech Connect

    Rafanelli, M. ); Shoshani, A. )

    1989-11-01

    In this paper we explore the structure and semantic properties of the entities stored in statistical databases. We call such entities statistical objects'' (SOs) and propose a new statistical object representation model,'' based on a graph representation. We identify a number of SO representational problems in current models and propose a methodology for their solution. 11 refs.

  5. Quantrum chaos and statistical nuclear physics

    SciTech Connect

    Not Available

    1986-01-01

    This book contains 33 selections. Some of the titles are: Chaotic motion and statistical nuclear theory; Test of spectrum and strength fluctuations with proton resonances; Nuclear level densities and level spacing distributions; Spectral statistics of scale invariant systems; and Antiunitary symmetries and energy level statistics.

  6. Energy Statistics, Third Quarter, 1991

    SciTech Connect

    Not Available

    1991-01-01

    Data are presented on 104 tables on the following energy sources: petroleum, coal, natural gas, biomass, and electric power by hydroelectric, nuclear, and renewable sources (wood, waste, geothermal, wind, photovoltaic, and solar thermal). Tables include information on imports, energy production, energy consumption, prices, well drilling, seismic survey activity, pipeline mileage, reserves, energy supplies, storage facilities, exports, residential sector use, regional analyses, and business indicators (e.g., price indexes, balance of trade, exchange rates). Gas liquids, petroleum products, and peat information is included.

  7. I/O Statistics Last 30 Days

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

    I/O Statistics Last 30 Days I/O Statistics Last 30 Days These plots show the daily statistics for the last 30 days for the storage systems at NERSC in terms of the amount of data transferred and the number of files transferred. Daily I/O Volume Daily I/O Count Last edited: 2016-10-21 11:56:2

  8. ARM - Lesson Plans: Weather and Climate Statistics

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

    Weather and Climate Statistics Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans Lesson Plans: Weather and Climate Statistics Objective The objective is to enable students to understand the difference between weather and climate, and to be able to interpret climatic statistics provided.

  9. Statistical assessment of Monte Carlo distributional tallies

    SciTech Connect

    Kiedrowski, Brian C; Solomon, Clell J

    2010-12-09

    Four tests are developed to assess the statistical reliability of distributional or mesh tallies. To this end, the relative variance density function is developed and its moments are studied using simplified, non-transport models. The statistical tests are performed upon the results of MCNP calculations of three different transport test problems and appear to show that the tests are appropriate indicators of global statistical quality.

  10. Statistics for characterizing data on the periphery

    SciTech Connect

    Theiler, James P; Hush, Donald R

    2010-01-01

    We introduce a class of statistics for characterizing the periphery of a distribution, and show that these statistics are particularly valuable for problems in target detection. Because so many detection algorithms are rooted in Gaussian statistics, we concentrate on ellipsoidal models of high-dimensional data distributions (that is to say: covariance matrices), but we recommend several alternatives to the sample covariance matrix that more efficiently model the periphery of a distribution, and can more effectively detect anomalous data samples.

  11. Moore honored with American Statistical Association award

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

    Before his death in 1991, Professor Owen was the Distinguished Professor of Statistics at Southern Methodist University in Dallas, Texas. His illustrious career serves as the ...

  12. Structure Learning and Statistical Estimation in Distribution...

    Office of Scientific and Technical Information (OSTI)

    Citation Details In-Document Search Title: Structure Learning and Statistical Estimation ... Part I of this paper discusses the problem of learning the operational structure of the ...

  13. Statistics for Industry Groups and Industries, 2003

    SciTech Connect

    2009-01-18

    Statistics for the U.S. Department of Commerce including types of manufacturing, employees, and products as outlined in the Annual Survey of Manufacturers (ASM).

  14. Statistical methods for nuclear material management

    SciTech Connect

    Bowen W.M.; Bennett, C.A.

    1988-12-01

    This book is intended as a reference manual of statistical methodology for nuclear material management practitioners. It describes statistical methods currently or potentially important in nuclear material management, explains the choice of methods for specific applications, and provides examples of practical applications to nuclear material management problems. Together with the accompanying training manual, which contains fully worked out problems keyed to each chapter, this book can also be used as a textbook for courses in statistical methods for nuclear material management. It should provide increased understanding and guidance to help improve the application of statistical methods to nuclear material management problems.

  15. STATISTICAL PERFORMANCE EVALUATION OF SPRING OPERATED PRESSURE...

    Office of Scientific and Technical Information (OSTI)

    VALVE RELIABILITY IMPROVEMENTS 2004 TO 2014 Citation Details In-Document Search Title: STATISTICAL PERFORMANCE EVALUATION OF SPRING OPERATED PRESSURE RELIEF VALVE RELIABILITY ...

  16. ANNUAL FEDERAL EQUAL EMPLOYMENT OPPORTUNITY STATISTICAL REPORT...

    National Nuclear Security Administration (NNSA)

    STATISTICAL REPORT OF DISCRIMINATION COMPLAINTS (REPORTING PERIOD BEGINS OCTOBER 1ST AND ... COUNSELORINVESTIGATOR F. COMPLAINTS IN LINE E CLOSED DURING REPORT PERIOD a. FULL-TIME b. ...

  17. [pic] EERE Web Site Statistics - Social Media

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

    EERE Web Site Statistics - Social Media Custom View: 10110 - 93011 October 1, 2010 ... site compels visitors to return. Updating web site content is one way to draw return ...

  18. Federal offshore statistics: leasing - exploration - production - revenue

    SciTech Connect

    Essertier, E.P.

    1984-01-01

    Federal Offshore Statistics is a numerical record of what has happened since Congress gave authority to the Secretary of the Interior in 1953 to lease the Federal portion of the Continental Shelf for oil and gas. The publication updates and augments the first Federal Offshore Statistics, published in December 1983. It also extends a statistical series published annually from 1969 until 1981 by the US Geological Survey (USGS) under the title Outer Continental Shelf Statistics. The USGS collected royalties and supervised operation and production of minerals on the Outer Continental Shelf (OCS) until the Minerals Management Service (MMS) took over these functions in 1982. Statistics are presented under the following topics: (1) highlights, (2) leasing, (3) exploration and development, (4) production and revenue, (5) federal offshore production by ranking operator, 1983, (6) reserves and undiscovered recoverable resources, and (7) oil pollution in the world's oceans.

  19. Louisiana Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    - - Hydro Conventional 192 0.7 Solar - - Wind - - WoodWood Waste 311 1.2 MSWLandfill ... - - Hydro Conventional 1,109 1.1 Solar - - Wind - - WoodWood Waste 2,393 2.3 MSW ...

  20. Washington Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    - Hydro Conventional 21,181 69.5 Solar 1 * Wind 2,296 7.5 WoodWood Waste 368 1.2 MSW... Hydro Conventional 68,288 66.0 Solar - 0.0 Wind 4,745 4.6 WoodWood Waste 1,676 1.6 MSW ...

  1. Delaware Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    - - Hydro Conventional - - Solar - - Wind 2 0.1 WoodWood Waste - - MSWLandfill Gas ... - - Hydro Conventional - - Solar - - Wind 3 * WoodWood Waste - - MSW Biogenic...

  2. Maine Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    - - Hydro Conventional 738 16.6 Solar - - Wind 263 5.9 WoodWood Waste 600 13.6 MSW... - Hydro Conventional 3,810 22.4 Solar - - Wind 499 2.9 WoodWood Waste 3,390 19.9 MSW ...

  3. Alabama Renewable Electric Power Industry Statistics

    Annual Energy Outlook

    - Hydro Conventional 3,272 10.1 Solar - - Wind - - WoodWood Waste 583 1.8 MSWLandfill ... - - Hydro Conventional 8,704 5.7 Solar - - Wind - - WoodWood Waste 2,365 1.6 MSW ...

  4. Ohio Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    - - Hydro Conventional 101 0.3 Solar 13 * Wind 7 * WoodWood Waste 60 0.2 MSWLandfill ... - - Hydro Conventional 429 0.3 Solar 13 * Wind 13 * WoodWood Waste 399 0.3 MSW Biogenic...

  5. Idaho Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Hydro Conventional 2,704 67.8 Solar - - Wind 352 8.8 WoodWood Waste 68 1.7 MSW... Hydro Conventional 9,154 76.1 Solar - - Wind 441 3.7 WoodWood Waste 478 4.0 MSW ...

  6. Connecticut Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    - - Hydro Conventional 122 1.5 Solar - - Wind - - WoodWood Waste - - MSWLandfill Gas ... - - Hydro Conventional 391 1.2 Solar - - Wind - - WoodWood Waste s * MSW Biogenic...

  7. California Renewable Electric Power Industry Statistics

    Annual Energy Outlook

    Conventional 10,141 15.1 Solar 475 0.7 Wind 2,812 4.2 WoodWood Waste 639 0.9 MSW... Conventional 33,431 16.4 Solar 769 0.4 Wind 6,079 3.0 WoodWood Waste 3,551 1.7 MSW ...

  8. Georgia Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    - - Hydro Conventional 2,052 5.6 Solar - - Wind - - WoodWood Waste 617 1.7 MSWLandfill ... - - Hydro Conventional 3,322 2.4 Solar - - Wind - - WoodWood Waste 3,054 2.2 MSW ...

  9. Arkansas Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    - - Hydro Conventional 1,341 8.4 Solar - - Wind - - WoodWood Waste 312 2.0 MSWLandfill ... - - Hydro Conventional 3,659 6.0 Solar - - Wind - - WoodWood Waste 1,567 2.6 MSW ...

  10. Alaska Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    - - Hydro Conventional 414 20.1 Solar - - Wind 7 0.4 WoodWood Waste - - MSWLandfill Gas ... - Hydro Conventional 1,433 21.2 Solar - - Wind 13 0.2 WoodWood Waste - - MSW Biogenic...

  11. Kentucky Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    - - Hydro Conventional 824 4.0 Solar - - Wind - - WoodWood Waste 52 0.3 MSWLandfill ... - - Hydro Conventional 2,580 2.6 Solar - - Wind - - WoodWood Waste 349 0.4 MSW Biogenic...

  12. New Jersey Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    - - Hydro Conventional 4 * Solar 28 0.2 Wind 8 * WoodWood Waste - - MSWLandfill Gas ... - - Hydro Conventional 18 * Solar 21 * Wind 13 * WoodWood Waste - - MSW Biogenic...

  13. Utah Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    0.6 Hydro Conventional 255 3.4 Solar - - Wind 222 3.0 WoodWood Waste - - MSWLandfill ... 0.7 Hydro Conventional 696 1.6 Solar - - Wind 448 1.1 WoodWood Waste - - MSW Biogenic...

  14. Virginia Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    - - Hydro Conventional 866 3.6 Solar - - Wind - - WoodWood Waste 331 1.4 MSWLandfill ... - - Hydro Conventional 1,500 2.1 Solar - - Wind - - WoodWood Waste 1,404 1.9 MSW ...

  15. Florida Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    - Hydro Conventional 55 0.1 Solar 123 0.2 Wind - - WoodWood Waste 344 0.6 MSWLandfill ... - - Hydro Conventional 177 0.1 Solar 80 * Wind - - WoodWood Waste 2,019 0.9 MSW ...

  16. Missouri Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    - - Hydro Conventional 564 2.6 Solar - - Wind 459 2.1 WoodWood Waste - - MSWLandfill ... - - Hydro Conventional 1,539 1.7 Solar - - Wind 925 1.0 WoodWood Waste s * MSW Biogenic...

  17. Michigan Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    - - Hydro Conventional 237 0.8 Solar - - Wind 163 0.5 WoodWood Waste 232 0.8 MSW... - - Hydro Conventional 1,251 1.1 Solar - - Wind 360 0.3 WoodWood Waste 1,670 1.5 MSW ...

  18. New Hampshire Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    - - Hydro Conventional 489 11.7 Solar - - Wind 24 0.6 WoodWood Waste 129 3.1 MSW... - - Hydro Conventional 1,478 6.7 Solar - - Wind 76 0.3 WoodWood Waste 1,030 4.6 MSW ...

  19. Mississippi Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    - - Hydro Conventional - - Solar - - Wind - - WoodWood Waste 235 1.5 MSWLandfill ... - - Hydro Conventional - - Solar - - Wind - - WoodWood Waste 1,503 2.8 MSW ...

  20. New York Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    - Hydro Conventional 4,314 11.0 Solar - - Wind 1,274 3.2 WoodWood Waste 86 0.2 MSW... - Hydro Conventional 25,472 18.6 Solar - - Wind 2,596 1.9 WoodWood Waste 547 0.4 MSW ...

  1. Alaska Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Commercial Consumers (Number of Elements) Alaska Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 11 11,484 11,649 11,806 1990's 11,921 12,071 12,204 12,359 12,475 12,584 12,732 12,945 13,176 13,409 2000's 13,711 14,002 14,342 14,502 13,999 14,120 14,384 13,408 12,764 13,215 2010's 12,998 13,027 13,133 13,246 13,399 13,549 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  2. Arkansas Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.69 2.29 2.59 2000's 4.46 4.44 3.59 4.37 6.19 8.59 6.38 7.04 9.23 4.14 2010's 5.11 W 3.19 Thousand Cubic Feet)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2002 W W W W W W W W 3.49 4.14 W W 2003 6.04 6.42 7.25 4.34 W 3.71 2.88 3.38 3.31 5.00 W W 2004 6.35 5.63 5.74 W 6.70 6.48 6.31 6.07 5.16 6.41 W W 2005 W W W 7.78 6.73 7.55 7.59 9.18 11.49 W 8.83 W 2006 8.17 7.66 6.81

  3. Delaware Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    18/1 Nonresidential Buildings Energy Consumption Survey: 1979 Consumption and Expenditures D! Part I: Natural Gas and Electricity March 1983 Energy Information Administration Washington, D.C. 1111? This publication is available from the Superintendent of Documents, U.S. Government Printing Office |GPO). Make check or money order payable to the Superintendent of Documents. You may send your order to the U.S. Government Printing Office or the National Energy Information Center. GPO prices are

  4. Florida Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.51 2.27 3.10 2000's 4.50 4.73 4.14 5.97 6.49 8.75 8.62 9.35 10.41 7.90 2010's 6.54 5.86 4.80 5.08 5.58 4.41 Thousand Cubic Feet)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2002 3.44 3.29 3.61 4.17 4.21 4.05 3.95 3.88 4.12 4.79 4.55 5.57 2003 5.25 6.33 6.59 5.77 W 6.71 6.16 5.88 5.83 5.67 5.55 5.90 2004 6.28 6.04 6.01 6.11 6.59 6.65 6.56 6.33 6.53 6.88 6.76 6.86 2005

  5. Georgia Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    " Hydro Conventional",2052,5.6 " Solar","-","-" " Wind","-","-" " WoodWood ... " Hydro Conventional",3322,2.4 " Solar","-","-" " Wind","-","-" " WoodWood ...

  6. Illinois Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    " Hydro Conventional",34,0.1 " Solar",9,"*" " Wind",1946,4.4 " WoodWood ... " Hydro Conventional",119,0.1 " Solar",14,"*" " Wind",4454,2.2 " WoodWood ...

  7. United States Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    2,405 0.2 Hydro Conventional 78,825 7.6 Solar 941 0.1 Wind 39,135 3.8 WoodWood Waste ... 15,219 0.4 Hydro Conventional 260,203 6.3 Solar 1,212 * Wind 94,652 2.3 WoodWood Waste ...

  8. Connecticut Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    " Hydro Conventional",122,1.5 " Solar","-","-" " Wind","-","-" " WoodWood ... " Hydro Conventional",391,1.2 " Solar","-","-" " Wind","-","-" " WoodWood ...

  9. Colorado Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    " Hydro Conventional",662,4.8 " Solar",41,0.3 " Wind",1294,9.4 " WoodWood ... " Hydro Conventional",1578,3.1 " Solar",42,0.1 " Wind",3452,6.8 " WoodWood ...

  10. Florida Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    " Hydro Conventional",55,0.1 " Solar",123,0.2 " Wind","-","-" " WoodWood ... " Hydro Conventional",177,0.1 " Solar",80,"*" " Wind","-","-" " WoodWood ...

  11. Indiana Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    " Hydro Conventional",60,0.2 " Solar","-","-" " Wind",1340,4.8 " WoodWood ... " Hydro Conventional",454,0.4 " Solar","-","-" " Wind",2934,2.3 " WoodWood ...

  12. Utah Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    " Hydro Conventional",255,3.4 " Solar","-","-" " Wind",222,3 " WoodWood ... " Hydro Conventional",696,1.6 " Solar","-","-" " Wind",448,1.1 " WoodWood ...

  13. Colorado Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Geothermal - - Hydro Conventional 662 4.8 Solar 41 0.3 Wind 1,294 9.4 WoodWood Waste - - ... - - Hydro Conventional 1,578 3.1 Solar 42 0.1 Wind 3,452 6.8 WoodWood Waste 2 * ...

  14. West Virginia Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    " Hydro Conventional",285,1.7 " Solar","-","-" " Wind",431,2.6 " WoodWood ... " Hydro Conventional",1367,1.7 " Solar","-","-" " Wind",939,1.2 " WoodWood ...

  15. Iowa Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    " Hydro Conventional",144,1 " Solar","-","-" " Wind",3569,24.5 " WoodWood ... " Hydro Conventional",948,1.6 " Solar","-","-" " Wind",9170,15.9 " WoodWood ...

  16. Wisconsin Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    " Hydro Conventional",492,2.8 " Solar","-","-" " Wind",449,2.5 " WoodWood ... " Hydro Conventional",2112,3.3 " Solar","-","-" " Wind",1088,1.7 " WoodWood ...

  17. Virginia Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    " Hydro Conventional",866,3.6 " Solar","-","-" " Wind","-","-" " WoodWood ... " Hydro Conventional",1500,2.1 " Solar","-","-" " Wind","-","-" " WoodWood ...

  18. United States Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    " Hydro Conventional",78825,7.6 " Solar",941,0.1 " Wind",39135,3.8 " WoodWood ... " Hydro Conventional",260203,6.3 " Solar",1212,"*" " Wind",94652,2.3 " WoodWood ...

  19. Vermont Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    - - Hydro Conventional 324 28.7 Solar - - Wind 5 0.5 WoodWood Waste 76 6.7 MSW... - - Hydro Conventional 1,347 20.3 Solar - - Wind 14 0.2 WoodWood Waste 443 6.7 ...

  20. Hawaii Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    " Hydro Conventional",24,0.9 " Solar",2,0.1 " Wind",62,2.4 " WoodWood ... " Hydro Conventional",70,0.6 " Solar",2,"*" " Wind",261,2.4 " WoodWood ...

  1. Kentucky Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    " Hydro Conventional",824,4 " Solar","-","-" " Wind","-","-" " WoodWood ... " Hydro Conventional",2580,2.6 " Solar","-","-" " Wind","-","-" " WoodWood ...

  2. Kansas Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    " Hydro Conventional",3,"*" " Solar","-","-" " Wind",1072,8.5 " WoodWood ... " Hydro Conventional",13,"*" " Solar","-","-" " Wind",3405,7.1 " WoodWood ...

  3. Wyoming Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    " Hydro Conventional",307,3.8 " Solar","-","-" " Wind",1415,17.7 " WoodWood ... " Hydro Conventional",1024,2.1 " Solar","-","-" " Wind",3247,6.7 " WoodWood ...

  4. Vermont Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    " Hydro Conventional",324,28.7 " Solar","-","-" " Wind",5,0.5 " WoodWood ... " Hydro Conventional",1347,20.3 " Solar","-","-" " Wind",14,0.2 " WoodWood ...

  5. Washington Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    " Hydro Conventional",21181,69.5 " Solar",1,"*" " Wind",2296,7.5 " WoodWood ... " Hydro Conventional",68288,66 " Solar","-",0 " Wind",4745,4.6 " WoodWood ...

  6. Delaware Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    " Hydro Conventional","-","-" " Solar","-","-" " Wind",2,0.1 " WoodWood ... " Hydro Conventional","-","-" " Solar","-","-" " Wind",3,"*" " WoodWood ...

  7. Idaho Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    " Hydro Conventional",2704,67.8 " Solar","-","-" " Wind",352,8.8 " WoodWood ... " Hydro Conventional",9154,76.1 " Solar","-","-" " Wind",441,3.7 " WoodWood ...

  8. Connecticut Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Conventional",122,1.5 " Solar","-","-" " Wind","-","-" " WoodWood Waste","-","-" " MSW... Conventional",391,1.2 " Solar","-","-" " Wind","-","-" " WoodWood Waste","s","*" " MSW ...

  9. Delaware Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    Conventional","-","-" " Solar","-","-" " Wind",2,0.1 " WoodWood Waste","-","-" " MSW... Conventional","-","-" " Solar","-","-" " Wind",3,"*" " WoodWood Waste","-","-" " MSW ...

  10. Georgia Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 245 2010's 225 501 314 1,046 1,426 933 Foot)

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 1,032 1,026 1,027 2010's 1,022 1,018 1,015 1,016 1,020 1,027

    Foot)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,014 1,015 1,016 1,015 1,014 1,015 1,016 1,019 1,017 1,016 1,017 1,017 2014 1,018 1,018 1,018 1,018 1,021 1,022 1,023 1,023 1,027

  11. Hawaii Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA 1,510 2000's 1,606 2,428 15,892 8,851 21,950 19,159 21,245 20,420 16,399 12,504 2010's 9,437 6,806 4,331 2,160 680 3

    Million Cubic Feet) Havre, MT Natural Gas Pipeline Imports From Canada (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA NA 2000's 1,309 NA NA 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  12. Idaho Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    INVESTING IN NEW BASE LOAD GENERATING CAPACITY Paul L. Joskow April 8, 2008 The views expressed here are my own. They do not reflect the views of the Alfred P. Sloan Foundation, MIT or any other organization with which I am affiliated. THE 25-YEAR VIEW * Significant investment in base-load generating capacity is required over the next 25 years to balance supply and demand efficiently - ~ 200 to 250 Gw (Gross) - Depends on retirements of older steam and peaking units - Depends on demand growth *

  13. Illinois Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 36,920 51,120 32,950 3,696 -30,874 -32,757 -29,394 -35,504 -33,537 -18,692 -594 40,741 1991 60,973 48,068 25,373 -2,559 -30,660 -29,798 -28,745 -34,057 -32,897 -26,390 17,558 34,113 1992 58,118 43,448 25,247 8,578 -31,163 -29,861 -28,140 -35,313 -32,462 -26,155 14,263 42,048 1993 63,751 53,114 28,317 -2,013 -35,988 -35,244 -33,084 -36,393 -41,424 -27,980 7,677 47,074 1994 76,867 46,395 14,791 -502 -25,727 -31,224 -34,981 -37,123

  14. Indiana Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Commercial Consumers (Number of Elements) Indiana Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 116,571 119,458 122,803 1990's 124,919 128,223 129,973 131,925 134,336 137,162 139,097 140,515 141,307 145,631 2000's 148,411 148,830 150,092 151,586 151,943 159,649 154,322 155,885 157,223 155,615 2010's 156,557 161,293 158,213 158,965 159,596 160,051 - = No Data Reported; -- = Not Applicable; NA =

  15. Iowa Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 2,832 7,609 5,181 -148 -4,486 -4,736 -5,657 -5,928 -3,720 -3,912 1,953 14,310 1991 20,045 9,791 3,415 -1,298 -3,536 -8,983 -5,100 -6,433 -10,675 -10,757 4,997 13,739 1992 18,442 11,535 3,325 -2,061 -7,583 -7,264 -10,141 -10,162 -10,088 -8,683 7,997 18,942 1993 18,991 10,808 2,692 -5,197 -6,482 -7,776 -10,550 -10,142 -12,351 -7,471 6,652 17,647 1994 21,064 11,173 3,361 -2,548 -7,152 -7,623 -11,997 -12,403 -13,446 -10,323 6,758 20,371 1995

  16. Kansas Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.53 2.14 2.36 2000's 4.18 3.60 3.11 5.37 5.50 7.78 6.32 6.31 8.11 4.13 2010's 5.05 4.79 3.28 4.57 5.65 3.95 Thousand Cubic Feet)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2002 2.26 2.27 2.94 3.45 3.39 3.24 3.04 2.97 3.09 3.38 4.17 4.22 2003 4.93 6.50 8.26 4.96 W 5.78 5.30 5.00 4.94 4.51 4.28 5.04 2004 5.84 5.54 5.00 5.54 5.91 6.15 5.88 5.49 4.73 5.39 6.68 6.49 2005 6.14

  17. Kentucky Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 3.45 3.40 3.49 2000's 5.08 4.70 3.60 W W W 7.96 W W W 2010's Thousand Cubic Feet)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2002 W W W W W W W W W 4.91 4.91 5.24 2003 W W W W W W W W W W W W 2004 W W W W W W W W W W W W 2005 W W W 9.04 W W W W W W W W 2006 W 9.57 W W W W W 8.62 W W W W 2007 W W W W W W W W W W W W 2008 9.16 9.60 W W W W W W W W W W 2009 W W W 6.74 11.32

  18. Louisiana Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Commercial Consumers (Number of Elements) Louisiana Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 67,382 66,472 64,114 1990's 62,770 61,574 61,030 62,055 62,184 62,930 62,101 62,270 63,029 62,911 2000's 62,710 62,241 62,247 63,512 60,580 58,409 57,097 57,127 57,066 58,396 2010's 58,562 58,749 63,381 59,147 58,996 57,873 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  19. Maine Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    2, 2014 MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSIS PAUL HOLTBERG TEAM LEADER ANALYSIS INTEGRATION TEAM JAMES TURNURE DIRECTOR OFFICE OF ENERGY CONSUMPTION AND EFFICIENCY ANALYSIS FROM: BUILDINGS CONSUMPTION & EFFICIENCY ANALYSIS TEAM SUBJECT: First AEO2015 Buildings Sector Working Group Meeting Summary, presented on 08-07-2014 Attendees: John Agan (DOE EPSA) Jack Mayernik (DOE EERE) David Daniels (EIA OEA) Cara Marcy (EIA OEA) Sam Napolitano (EIA OEA) Alan Swenson

  20. Maryland Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Commercial Consumers (Number of Elements) Maryland Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 51,252 53,045 54,740 1990's 55,576 61,878 62,858 63,767 64,698 66,094 69,991 69,056 67,850 69,301 2000's 70,671 70,691 71,824 72,076 72,809 73,780 74,584 74,856 75,053 75,771 2010's 75,192 75,788 75,799 77,117 77,846 78,138 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  1. Massachusetts Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 638 5,286 3,377 691 2000's 5,320 3,651 NA 811 4,455 5,222 3,483 9,158 8,756 14,925 2010's 22,198 41,964 42,866 35,273 24,583 7,20 Feet)

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 10 1,827 135 2000's NA NA 74 0 303 0 24 876 2,252 5,651 2010's 5,694 9,946 8,099 2,337 4,650 1,961 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  2. Michigan Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.79 1.24 1.53 2000's 2.77 3.42 3.55 3.88 4.42 5.60 6.01 6.63 8.75 4.55 2010's 4.97 4.76 3.21 4.58 6.71 3.21 Thousand Cubic Feet)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2002 3.43 3.29 3.48 3.60 3.49 3.67 3.49 3.42 3.68 3.65 3.69 3.74 2003 3.97 3.56 W W W 4.02 4.24 4.43 3.55 3.35 W W 2004 4.28 W 4.11 4.09 4.57 4.71 4.75 4.62 4.73 W 4.25 W 2005 W 3.65 4.15 4.28 4.73

  3. Minnesota Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Underground Storage Volume (Million Cubic Feet) Midwest Region Natural Gas Underground Storage Volume (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 2,195,944 1,997,063 1,855,083 1,870,840 1,978,051 2,100,257 2,212,914 2,340,431 2,474,082 2,558,479 2,487,640 2,249,921 2014 1,955,319 1,742,978 1,640,311 1,681,894 1,816,029 1,970,375 2,124,374 2,287,540 2,434,709 2,544,399 2,469,652 2,351,566 2015 2,115,639 1,842,618 1,748,917 1,805,578 1,934,606 2,062,641 2,181,461

  4. Mississippi Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Commercial Consumers (Number of Elements) Mississippi Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 43,362 44,170 44,253 1990's 43,184 43,693 44,313 45,310 43,803 45,444 46,029 47,311 45,345 47,620 2000's 50,913 51,109 50,468 50,928 54,027 54,936 55,741 56,155 55,291 50,713 2010's 50,537 50,636 50,689 50,153 49,911 49,821 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  5. Missouri Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Commercial Consumers (Number of Elements) Missouri Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 96,711 97,939 99,721 1990's 105,164 117,675 125,174 125,571 132,378 130,318 133,445 135,553 135,417 133,464 2000's 133,969 135,968 137,924 140,057 141,258 142,148 143,632 142,965 141,529 140,633 2010's 138,670 138,214 144,906 142,495 143,134 141,216 - = No Data Reported; -- = Not Applicable; NA = Not

  6. Montana Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 14.44 2.06 2.01 2000's 5.81 7.54 3.95 W W W W W W W 2010's W W W -- W Thousand Cubic Feet)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2002 W 4.69 4.82 W W W W W W 3.84 5.21 6.12 2003 5.60 6.12 5.71 W W W W W 6.41 W W 8.96 2004 W W W W W W W W 8.14 6.87 11.65 10.69 2005 9.68 W W 9.50 8.70 W W W W 11.90 12.94 W 2006 14.19 W W W 8.24 W W W 7.74 W W 9.70 2007 W W W W W W W W

  7. Nebraska Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Commercial Consumers (Number of Elements) Nebraska Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 60,707 61,365 60,377 1990's 60,405 60,947 61,319 60,599 62,045 61,275 61,117 51,661 63,819 53,943 2000's 55,194 55,692 56,560 55,999 57,087 57,389 56,548 55,761 58,160 56,454 2010's 56,246 56,553 56,608 58,005 57,191 57,521 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  8. Nevada Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Commercial Consumers (Number of Elements) Nevada Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 18,294 18,921 19,924 1990's 20,694 22,124 22,799 23,207 24,521 25,593 26,613 27,629 29,030 30,521 2000's 31,789 32,782 33,877 34,590 35,792 37,093 38,546 40,128 41,098 41,303 2010's 40,801 40,944 41,192 41,710 42,338 42,860 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  9. New Hampshire Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Generating Technology to Reduce Greenhouse Gas Emissions ENERGY INFORMATION ADMINISTRATION 30 TH BIRTHDAY CONFERENCE April 7, 2008 Linda G. Stuntz Stuntz, Davis & Staffier, P.C. Stuntz, Davis & Staffier, P.C. 2 The Target * Energy related emissions of CO2 will increase by about 16% in AEO 2008 Reference Case between 2006 and 2030 (5,890 MM metric tons to 6,859 MM metric tons). (#s from Caruso Senate Energy testimony of 3/4/08). * Last year, emissions from electricity generation were 40%

  10. New Jersey Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Cubic Foot) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 1,035 1,033 1,029 2010's 1,026 1,026 1,029 1,044 1,042 1,045 Cubic Foot)

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

  11. New Mexico Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.64 2.22 2.31 2000's 3.94 4.22 3.03 W W W W W 8.18 W 2010's W W W 4.35 4.93 3.21 Thousand Cubic Feet)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2002 W W W W W W W W W W W W 2003 W W W W W W W W W W W W 2004 W W W W W W W W W W W W 2005 W W W W W W W W W W W W 2006 W W W W W W W W W W W W 2007 W W W W W W W W W W W W 2008 W W W W 10.08 W W 9.01 6.20 W W W 2009 W 4.50 W W

  12. New York Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 1.42 1.38 1.37 1970's 1.40 1.50 1.62 1.74 2.00 2.54 2.87 3.28 3.68 4.12 1980's 4.95 5.50 6.51 7.87 7.64 7.74 7.46 6.88 6.50 7.22 1990's 7.40 7.35 7.58 8.15 8.75 8.42 8.90 9.73 9.59 9.12 2000's 9.86 11.75 9.85 11.59 12.50 14.89 15.35 15.73 16.78 15.05 2010's 14.04 13.71 12.97 12.49 12.54 11.20 per Thousand Cubic Feet)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989

  13. North Carolina Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Cubic Foot) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 1,030 1,027 1,023 2010's 1,015 1,011 1,011 1,011 1,021 Cubic Foot)

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

  14. North Dakota Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 3.43 2000's 7.08 2.54 7.66 8.05 10.23 10.93 6.41 NA 6.14 2010's 6.51 8.66 6.44 6.14 4.09 2.89 per Thousand Cubic Feet)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2002 -- 2.89 2.68 -- -- -- 2.14 -- -- 2.00 -- -- 2003 7.62 -- -- -- W 7.52 -- 9.68 7.28 -- -- -- 2004 9.68 7.57 6.49 6.43 7.42 8.66 6.24 9.44 5.41 9.35 8.69 6.93 2005 6.66 6.40 6.78 10.30 10.14 11.52 11.93

  15. Ohio Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Commercial Consumers (Number of Elements) Ohio Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 213,601 219,257 225,347 1990's 233,075 236,519 237,861 240,684 245,190 250,223 259,663 254,991 258,076 266,102 2000's 269,561 269,327 271,160 271,203 272,445 277,767 270,552 272,555 272,899 270,596 2010's 268,346 268,647 267,793 269,081 269,758 269,981 - = No Data Reported; -- = Not Applicable; NA = Not

  16. Oklahoma Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.78 0.77 0.82 1970's 0.84 0.87 0.90 0.92 1.05 1.22 1.50 1.78 1.93 2.20 1980's 2.46 2.94 3.53 4.33 4.56 4.58 5.01 4.63 4.52 4.50 1990's 4.80 4.72 4.96 4.94 5.50 5.56 5.64 6.23 5.93 5.97 2000's 7.37 9.59 7.78 8.89 10.22 11.67 13.40 12.06 12.32 11.39 2010's 11.12 10.32 11.10 9.71 10.10 10.24 per Thousand Cubic Feet)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 3.88

  17. Oregon Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Commercial Consumers (Number of Elements) Oregon Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 40,967 41,998 43,997 1990's 47,175 55,374 50,251 51,910 53,700 55,409 57,613 60,419 63,085 65,034 2000's 66,893 68,098 69,150 74,515 71,762 73,520 74,683 80,998 76,868 76,893 2010's 77,370 77,822 78,237 79,276 80,480 80,877 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  18. Pennsylvania Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Elements) Commercial Consumers (Number of Elements) Pennsylvania Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 166,901 172,615 178,545 1990's 186,772 191,103 193,863 198,299 206,812 209,245 214,340 215,057 216,519 223,732 2000's 228,037 225,911 226,957 227,708 231,051 233,132 231,540 234,597 233,462 233,334 2010's 233,751 233,588 235,049 237,922 239,681 241,682 - = No Data Reported; -- = Not

  19. Rhode Island Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Cubic Foot) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 1,026 1,022 1,023 2010's 1,017 1,020 1,031 1,032 Cubic Foot)

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

  20. South Dakota Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Elements) Commercial Consumers (Number of Elements) South Dakota Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 12,480 12,438 12,771 1990's 13,443 13,692 14,133 16,523 15,539 16,285 16,880 17,432 17,972 18,453 2000's 19,100 19,378 19,794 20,070 20,457 20,771 21,149 21,502 21,819 22,071 2010's 22,267 22,570 22,955 23,214 23,591 24,040 - = No Data Reported; -- = Not Applicable; NA = Not

  1. Tennessee Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Commercial Consumers (Number of Elements) Tennessee Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 77,104 81,159 84,040 1990's 88,753 89,863 91,999 94,860 97,943 101,561 103,867 105,925 109,772 112,978 2000's 115,691 118,561 120,130 131,916 125,042 124,755 126,970 126,324 128,007 127,704 2010's 127,914 128,969 130,139 131,091 131,027 132,392 - = No Data Reported; -- = Not Applicable; NA = Not

  2. Texas Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Commercial Consumers (Number of Elements) Texas Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 294,879 284,013 270,227 1990's 268,181 269,411 292,990 297,516 306,376 325,785 329,287 332,077 320,922 314,598 2000's 315,906 314,858 317,446 320,786 322,242 322,999 329,918 326,812 324,671 313,384 2010's 312,277 314,041 314,811 314,036 316,756 319,512 - = No Data Reported; -- = Not Applicable; NA = Not

  3. Utah Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.09 2.11 2.65 2000's 4.02 4.88 4.47 W W W W W W W 2010's W W 3.04 4.10 Thousand Cubic Feet)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2002 W 9.98 W W W 5.13 W W W W W -- 2003 W W W 4.16 W W W W W 3.52 -- -- 2004 6.32 2.45 2.45 5.74 W W W W W 5.99 6.82 W 2005 W W -- -- W W W W W W W W 2006 10.02 7.17 W 5.13 W W W W W W W W 2007 W W W W W W W W W W W W 2008 W W W W 9.66 W

  4. Vermont Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    3,329 3,222 3,329 3,222 3,662 3,662 1997-2016 Alabama 21 20 36 34 39 39 2010-2016 Alaska 1 1 1 1 1 1 2010-2016 Arizona 192 186 206 199 226 226 2010-2016 Arkansas 3 3 3 3 3 3 2010-2016 California 1,565 1,514 1,447 1,400 1,591 1,591 2010-2016 Colorado 30 29 31 30 34 34 2010-2016 Connecticut 5 5 2 2 2 2 2010-2016 Delaware 0 0 0 0 0 0 2010-2016 District of Columbia 95 92 76 73 83 83 2010-2016 Florida 19 19 27 26 30 30 2010-2016 Georgia 111 107 102 99 112 112 2010-2016 Hawaii 1 1 0 0 0 0 2010-2016

  5. Virginia Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Commercial Consumers (Number of Elements) Virginia Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 54,071 54,892 61,012 1990's 63,751 67,997 69,629 70,161 72,188 74,690 77,284 78,986 77,220 80,500 2000's 84,646 84,839 86,328 87,202 87,919 90,577 91,481 93,015 94,219 95,704 2010's 95,401 96,086 96,503 97,499 98,741 99,643 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  6. Washington Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    December 9, 2015 MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSIS PAUL HOLTBERG TEAM LEADER ANALYSIS INTEGRATION TEAM JAMES TURNURE DIRECTOR OFFICE OF ENERGY CONSUMPTION & EFFICIENCY ANALYSIS LYNN WESTFALL DIRECTOR OFFICE OF ENERGY MARKETS & FINANCIAL ANALYSIS FROM: MACROECONOMIC & INDUSTRIAL ENERGY CONSUMPTION & EFFICIENCY ANALYSIS TEAMS SUBJECT: First AEO2016 Macro-Industrial Working Group Meeting Summary, presented on 12-03-2016 Attendees: Bob Adler (EIA)

  7. West Virginia Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 3.35 3.29 3.00 2000's 4.98 6.46 4.17 6.92 7.36 10.08 8.03 W 10.08 4.78 2010's 5.14 W 3.33 W W per Thousand Cubic Feet)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2002 3.23 3.01 3.41 4.29 4.44 4.79 3.69 4.18 4.00 4.92 6.80 6.82 2003 7.12 10.46 15.43 10.00 W 7.00 6.18 6.07 5.61 5.90 6.18 7.39 2004 8.03 6.75 6.73 W W W 6.84 8.35 7.69 7.26 7.66 W 2005 W 7.06 W W W 7.99

  8. Wisconsin Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 6,820 6,420 6,533 12,767 2000's 13,733 11,428 12,558 14,475 20,069 11,157 9,120 8,945 9,834 9,195 2010's 7,707 7,062 6,571 5,387 5,128 4,651

    York State SHOPP Overview Presentation Matthew Milford NYSERDA October 8, 2014 State Heating Oil and Propane Program (SHOPP) Importance Importance to heating fuel stakeholders * Timely, credible price information * Information is used by New York petroleum businesses,

  9. Wyoming Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 9.12 8.31 3.89 2000's 3.92 4.01 4.38 3.57 3.62 5.79 W W W W 2010's W W W W W 5.18 Thousand Cubic Feet)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2002 7.21 5.09 4.43 3.91 -- -- 2.85 2.89 2.22 2.21 5.84 21.17 2003 6.66 3.50 3.32 3.86 W 3.00 1.90 3.91 3.80 3.17 4.63 1.36 2004 2.74 2.41 2.48 2.92 8.00 2.11 4.44 3.37 2.99 2.29 3.72 2.97 2005 3.11 6.91 3.84 1.26 3.79 3.58 3.11

  10. Topology for statistical modeling of petascale data.

    SciTech Connect

    Pascucci, Valerio; Mascarenhas, Ajith Arthur; Rusek, Korben; Bennett, Janine Camille; Levine, Joshua; Pebay, Philippe Pierre; Gyulassy, Attila; Thompson, David C.; Rojas, Joseph Maurice

    2011-07-01

    This document presents current technical progress and dissemination of results for the Mathematics for Analysis of Petascale Data (MAPD) project titled 'Topology for Statistical Modeling of Petascale Data', funded by the Office of Science Advanced Scientific Computing Research (ASCR) Applied Math program. Many commonly used algorithms for mathematical analysis do not scale well enough to accommodate the size or complexity of petascale data produced by computational simulations. The primary goal of this project is thus to develop new mathematical tools that address both the petascale size and uncertain nature of current data. At a high level, our approach is based on the complementary techniques of combinatorial topology and statistical modeling. In particular, we use combinatorial topology to filter out spurious data that would otherwise skew statistical modeling techniques, and we employ advanced algorithms from algebraic statistics to efficiently find globally optimal fits to statistical models. This document summarizes the technical advances we have made to date that were made possible in whole or in part by MAPD funding. These technical contributions can be divided loosely into three categories: (1) advances in the field of combinatorial topology, (2) advances in statistical modeling, and (3) new integrated topological and statistical methods.

  11. Statistical methods for environmental pollution monitoring

    SciTech Connect

    Gilbert, R.O.

    1987-01-01

    The application of statistics to environmental pollution monitoring studies requires a knowledge of statistical analysis methods particularly well suited to pollution data. This book fills that need by providing sampling plans, statistical tests, parameter estimation procedure techniques, and references to pertinent publications. Most of the statistical techniques are relatively simple, and examples, exercises, and case studies are provided to illustrate procedures. The book is logically divided into three parts. Chapters 1, 2, and 3 are introductory chapters. Chapters 4 through 10 discuss field sampling designs and Chapters 11 through 18 deal with a broad range of statistical analysis procedures. Some statistical techniques given here are not commonly seen in statistics book. For example, see methods for handling correlated data (Sections 4.5 and 11.12), for detecting hot spots (Chapter 10), and for estimating a confidence interval for the mean of a lognormal distribution (Section 13.2). Also, Appendix B lists a computer code that estimates and tests for trends over time at one or more monitoring stations using nonparametric methods (Chapters 16 and 17). Unfortunately, some important topics could not be included because of their complexity and the need to limit the length of the book. For example, only brief mention could be made of time series analysis using Box-Jenkins methods and of kriging techniques for estimating spatial and spatial-time patterns of pollution, although multiple references on these topics are provided. Also, no discussion of methods for assessing risks from environmental pollution could be included.

  12. Scalable k-means statistics with Titan.

    SciTech Connect

    Thompson, David C.; Bennett, Janine C.; Pebay, Philippe Pierre

    2009-11-01

    This report summarizes existing statistical engines in VTK/Titan and presents both the serial and parallel k-means statistics engines. It is a sequel to [PT08], [BPRT09], and [PT09] which studied the parallel descriptive, correlative, multi-correlative, principal component analysis, and contingency engines. The ease of use of the new parallel k-means engine is illustrated by the means of C++ code snippets and algorithm verification is provided. This report justifies the design of the statistics engines with parallel scalability in mind, and provides scalability and speed-up analysis results for the k-means engine.

  13. I/O Statistics Last 30 Days

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

    Last 30 Days These plots show the daily statistics for the last 30 days for the storage systems at NERSC in terms of the amount of data transferred and the number of files...

  14. Statistical criteria for characterizing irradiance time series.

    SciTech Connect

    Stein, Joshua S.; Ellis, Abraham; Hansen, Clifford W.

    2010-10-01

    We propose and examine several statistical criteria for characterizing time series of solar irradiance. Time series of irradiance are used in analyses that seek to quantify the performance of photovoltaic (PV) power systems over time. Time series of irradiance are either measured or are simulated using models. Simulations of irradiance are often calibrated to or generated from statistics for observed irradiance and simulations are validated by comparing the simulation output to the observed irradiance. Criteria used in this comparison should derive from the context of the analyses in which the simulated irradiance is to be used. We examine three statistics that characterize time series and their use as criteria for comparing time series. We demonstrate these statistics using observed irradiance data recorded in August 2007 in Las Vegas, Nevada, and in June 2009 in Albuquerque, New Mexico.

  15. ORISE: Statistical Analyses of Worker Health

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

    Statistical Analyses Statistical analyses at the Oak Ridge Institute for Science and Education (ORISE) support ongoing programs involving medical surveillance of workers and other populations, as well as occupational epidemiology and research. ORISE emphasizes insightful and accurate analysis, practical interpretation of results and clear, easily read reports. All analyses are preceded by extensive data scrubbing and verification. ORISE's approach relies on applying appropriate methods of

  16. Statistical Fault Detection & Diagnosis Expert System

    Energy Science and Technology Software Center

    1996-12-18

    STATMON is an expert system that performs real-time fault detection and diagnosis of redundant sensors in any industrial process requiring high reliability. After a training period performed during normal operation, the expert system monitors the statistical properties of the incoming signals using a pattern recognition test. If the test determines that statistical properties of the signals have changed, the expert system performs a sequence of logical steps to determine which sensor or machine component hasmoredegraded.less

  17. Statistical physics on the light-front

    SciTech Connect

    Raufeisen, J.

    2005-06-14

    The formulation of statistical physics using light-front quantization, instead of conventional equal-time boundary conditions, has important advantages for describing relativistic statistical systems, such as heavy ion collisions. We develop light-front field theory at finite temperature and density with special attention to Quantum Chromodynamics. We construct the most general form of the statistical operator allowed by the Poincare algebra and introduce the chemical potential in a covariant way. In light-front quantization, the Green's functions of a quark in a medium can be defined in terms of just 2-component spinors and does not lead to doublers in the transverse directions. A seminal property of light-front Green's functions is that they are related to parton densities in coordinate space. Namely, the diagonal and off-diagonal parton distributions measured in hard scattering experiments can be interpreted as light-front density matrices.

  18. Statistical methods for environmental pollution monitoring

    SciTech Connect

    Gilbert, R.O.

    1986-01-01

    This volume covers planning, design, and data analysis. It offers statistical methods for designing environmental sampling and monitoring programs as well as analyzing the resulting data. Statistical sample survey methods to problems of estimating average and total amounts of environmental pollution are presented in detail. The book also provides a broad array of statistical analysis methods for many purposes...numerous examples...three case studies...end-of-chapter questions...computer codes (showing what output looks like along with its interpretation)...a discussion of Kriging methods for estimating pollution concentration contours over space and/or time...nomographs for determining the number of samples required to detect hot spots with specified confidence...and a description and tables for conducting Rosner's test to identify outlaying (usually large) pollution measurements in a data set.

  19. Statistical Fault Detection & Diagnosis Expert System

    Energy Science and Technology Software Center

    1996-12-18

    STATMON is an expert system that performs real-time fault detection and diagnosis of redundant sensors in any industrial process requiring high reliability. After a training period performed during normal operation, the expert system monitors the statistical properties of the incoming signals using a pattern recognition test. If the test determines that statistical properties of the signals have changed, the expert system performs a sequence of logical steps to determine which sensor or machine component hasmore » degraded.« less

  20. Statistical data of the uranium industry

    SciTech Connect

    1983-01-01

    This report is a compendium of information relating to US uranium reserves and potential resources and to exploration, mining, milling, and other activities of the uranium industry through 1982. The statistics are based primarily on data provided voluntarily by the uranium exploration, mining and milling companies. The compendium has been published annually since 1968 and reflects the basic programs of the Grand Junction Area Office of the US Department of Energy. Statistical data obtained from surveys conducted by the Energy Information Administration are included in Section IX. The production, reserves, and drilling data are reported in a manner which avoids disclosure of proprietary information.

  1. Federal offshore statistics: leasing, exploration, production, revenue

    SciTech Connect

    Essertier, E.P.

    1983-01-01

    The statistics in this update of the Outer Continental Shelf Statistics publication document what has happened since federal leasing began on the Outer Continental Shelf (OCS) in 1954. Highlights note that of the 29.8 million acres actually leased from 175.6 million acres offered for leasing, 20.1% were in frontier areas. Total revenues for the 1954-1982 period were $58.9 billion with about 13% received in 1982. The book is divided into six parts covering highlights, leasing, exploration and development, production and revenue, reserves and undiscovered recoverable resources, and pollution problems from well and tanker accidents. 5 figures, 59 tables.

  2. Baseballs and Barrels: World Statistics Day

    Energy.gov [DOE]

    Statistics don’t just help us answer trivia questions – they also help us make intelligent decisions. For example, if I heat my home with natural gas, I’m probably interested in what natural gas prices are likely to be this winter.

  3. Statistics of dislocation pinning at localized obstacles

    SciTech Connect

    Dutta, A.; Bhattacharya, M. Barat, P.

    2014-10-14

    Pinning of dislocations at nanosized obstacles like precipitates, voids, and bubbles is a crucial mechanism in the context of phenomena like hardening and creep. The interaction between such an obstacle and a dislocation is often studied at fundamental level by means of analytical tools, atomistic simulations, and finite element methods. Nevertheless, the information extracted from such studies cannot be utilized to its maximum extent on account of insufficient information about the underlying statistics of this process comprising a large number of dislocations and obstacles in a system. Here, we propose a new statistical approach, where the statistics of pinning of dislocations by idealized spherical obstacles is explored by taking into account the generalized size-distribution of the obstacles along with the dislocation density within a three-dimensional framework. Starting with a minimal set of material parameters, the framework employs the method of geometrical statistics with a few simple assumptions compatible with the real physical scenario. The application of this approach, in combination with the knowledge of fundamental dislocation-obstacle interactions, has successfully been demonstrated for dislocation pinning at nanovoids in neutron irradiated type 316-stainless steel in regard to the non-conservative motion of dislocations. An interesting phenomenon of transition from rare pinning to multiple pinning regimes with increasing irradiation temperature is revealed.

  4. Multifragmentation: New dynamics or old statistics?

    SciTech Connect

    Moretto, L.G.; Delis, D.N.; Wozniak, G.J.

    1993-10-01

    The understanding of the fission process as it has developed over the last fifty years has been applied to multifragmentation. Two salient aspects have been discovered: 1) a strong decoupling of the entrance and exit channels with the formation of well-characterized sources: 2) a statistical competition between two-, three-, four-, five-, ... n-body decays.

  5. Notes on the MUF-D statistic

    SciTech Connect

    Picard, R.R.

    1987-01-01

    Many aspects of the MUF-D statistic, used for verification of accountability data, have been examined in the safeguards literature. In this paper, basic MUF-D results are extended to more general environments than are usually considered. These environments include arbitrary measurement error structures, various sampling regimes that could be imposed by the inspectorate, and the attributes/variables framework.

  6. Topology for Statistical Modeling of Petascale Data

    SciTech Connect

    Bennett, Janine Camille; Pebay, Philippe Pierre; Pascucci, Valerio; Levine, Joshua; Gyulassy, Attila; Rojas, Maurice

    2014-07-01

    This document presents current technical progress and dissemination of results for the Mathematics for Analysis of Petascale Data (MAPD) project titled "Topology for Statistical Modeling of Petascale Data", funded by the Office of Science Advanced Scientific Computing Research (ASCR) Applied Math program.

  7. Masked Areas in Shear Peak Statistics: A Forward Modeling Approach...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: Masked Areas in Shear Peak Statistics: A Forward Modeling Approach Citation Details In-Document Search Title: Masked Areas in Shear Peak Statistics: A Forward ...

  8. Statistics Show Bearing Problems Cause the Majority of Wind Turbine...

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

    Statistics Show Bearing Problems Cause the Majority of Wind Turbine Gearbox Failures Statistics Show Bearing Problems Cause the Majority of Wind Turbine Gearbox Failures September ...

  9. Environment/Health/Safety (EHS): Monthly Accident Statistics

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

    Personal Protective Equipment (PPE) Injury Review & Analysis Worker Safety and Health Program: PUB-3851 Monthly Accident Statistics Latest Accident Statistics Accident...

  10. RITA-Bureau of Transportation Statistics | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    RITA-Bureau of Transportation Statistics Jump to: navigation, search Tool Summary LAUNCH TOOL Name: RITA-Bureau of Transportation Statistics AgencyCompany Organization: United...

  11. Fact #602: December 21, 2009 Freight Statistics by Mode, 2007...

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

    21, 2009 Freight Statistics by Mode, 2007 Commodity Flow Survey Fact 602: December 21, 2009 Freight Statistics by Mode, 2007 Commodity Flow Survey Results from the 2007 Commodity ...

  12. FY 2014 Budget Request Statistical Table | Department of Energy

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

    Statistical Table FY 2014 Budget Request Statistical Table PDF icon Stats Table FY2014.pdf More Documents & Publications FY 2009 Environmental Management Budget Request to Congress ...

  13. Statistical and Domain Analytics Applied to PV Module Lifetime...

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

    Statistical and Domain Analytics Applied to PV Module Lifetime and Degradation Science Statistical and Domain Analytics Applied to PV Module Lifetime and Degradation Science ...

  14. ARM Climate Modeling Best Estimate Lamont, OK Statistical Summary...

    Office of Scientific and Technical Information (OSTI)

    Climate Modeling Best Estimate Lamont, OK Statistical Summary (ARMBE-CLDRAD SGPC1) Title: ARM Climate Modeling Best Estimate Lamont, OK Statistical Summary (ARMBE-CLDRAD SGPC1) ...

  15. Physics-based statistical learning approach to mesoscopic model...

    Office of Scientific and Technical Information (OSTI)

    Physics-based statistical learning approach to mesoscopic model selection Citation Details ... Title: Physics-based statistical learning approach to mesoscopic model selection Authors: ...

  16. New paradigms for the statistics profession

    SciTech Connect

    Iman, R.L.

    1995-02-01

    This paper is a presentation made in support of the statistics profession. This field can say it has had a major impact in most major fields of study presently undertaken by man, yet it is not perceived as an important, or critical field of study. It is not a growth field either, witness the almost level number of faculty and new PhD`s produced over the past twenty years. The author argues the profession must do a better job of selling itself to the students it educates. Awaken them to the impact of statistics in their lives and their business worlds, so that they see beyond the formulae to the application of these principles.

  17. Robust statistical reconstruction for charged particle tomography

    SciTech Connect

    Schultz, Larry Joe; Klimenko, Alexei Vasilievich; Fraser, Andrew Mcleod; Morris, Christopher; Orum, John Christopher; Borozdin, Konstantin N; Sossong, Michael James; Hengartner, Nicolas W

    2013-10-08

    Systems and methods for charged particle detection including statistical reconstruction of object volume scattering density profiles from charged particle tomographic data to determine the probability distribution of charged particle scattering using a statistical multiple scattering model and determine a substantially maximum likelihood estimate of object volume scattering density using expectation maximization (ML/EM) algorithm to reconstruct the object volume scattering density. The presence of and/or type of object occupying the volume of interest can be identified from the reconstructed volume scattering density profile. The charged particle tomographic data can be cosmic ray muon tomographic data from a muon tracker for scanning packages, containers, vehicles or cargo. The method can be implemented using a computer program which is executable on a computer.

  18. Statistical data of the uranium industry

    SciTech Connect

    1980-01-01

    This document is a compilation of historical facts and figures through 1979. These statistics are based primarily on information provided voluntarily by the uranium exploration, mining, and milling companies. The production, reserves, drilling, and production capability information has been reported in a manner which avoids disclosure of proprietary information. Only the totals for the $1.5 reserves are reported. Because of increased interest in higher cost resources for long range planning purposes, a section covering the distribution of $100 per pound reserves statistics has been newly included. A table of mill recovery ranges for the January 1, 1980 reserves has also been added to this year's edition. The section on domestic uranium production capability has been deleted this year but will be included next year. The January 1, 1980 potential resource estimates are unchanged from the January 1, 1979 estimates.

  19. Statistical approach to nuclear level density

    SciTech Connect

    Sen'kov, R. A.; Horoi, M.; Zelevinsky, V. G.

    2014-10-15

    We discuss the level density in a finite many-body system with strong interaction between the constituents. Our primary object of applications is the atomic nucleus but the same techniques can be applied to other mesoscopic systems. We calculate and compare nuclear level densities for given quantum numbers obtained by different methods, such as nuclear shell model (the most successful microscopic approach), our main instrument - moments method (statistical approach), and Fermi-gas model; the calculation with the moments method can use any shell-model Hamiltonian excluding the spurious states of the center-of-mass motion. Our goal is to investigate statistical properties of nuclear level density, define its phenomenological parameters, and offer an affordable and reliable way of calculation.

  20. Topological Cacti: Visualizing Contour-based Statistics

    SciTech Connect

    Weber, Gunther H.; Bremer, Peer-Timo; Pascucci, Valerio

    2011-05-26

    Contours, the connected components of level sets, play an important role in understanding the global structure of a scalar field. In particular their nestingbehavior and topology-often represented in form of a contour tree-have been used extensively for visualization and analysis. However, traditional contour trees onlyencode structural properties like number of contours or the nesting of contours, but little quantitative information such as volume or other statistics. Here we use thesegmentation implied by a contour tree to compute a large number of per-contour (interval) based statistics of both the function defining the contour tree as well asother co-located functions. We introduce a new visual metaphor for contour trees, called topological cacti, that extends the traditional toporrery display of acontour tree to display additional quantitative information as width of the cactus trunk and length of its spikes. We apply the new technique to scalar fields ofvarying dimension and different measures to demonstrate the effectiveness of the approach.

  1. Statistical data of the uranium industry

    SciTech Connect

    1981-01-01

    Data are presented on US uranium reserves, potential resources, exploration, mining, drilling, milling, and other activities of the uranium industry through 1980. The compendium reflects the basic programs of the Grand Junction Office. Statistics are based primarily on information provided by the uranium exploration, mining, and milling companies. Data on commercial U/sub 3/O/sub 8/ sales and purchases are included. Data on non-US uranium production and resources are presented in the appendix. (DMC)

  2. Thermal battery statistics and plotting programs

    SciTech Connect

    Scharrer, G.L.

    1990-04-01

    Thermal battery functional test data are stored in an HP3000 minicomputer operated by the Power Sources Department. A program was written to read data from a battery data base, compute simple statistics (mean, minimum, maximum, standard deviation, and K-factor), print out the results, and store the data in a file for subsequent plotting. A separate program was written to plot the data. The programs were written in the Pascal programming language. 1 tab.

  3. Workforce Statistics | National Nuclear Security Administration | (NNSA)

    National Nuclear Security Administration (NNSA)

    Workforce Statistics The Semi Annual Report provides age, disability, diversity, education, pay plan, retirement eligibility, years of service, and veteran's status data. The Year-End reports include the semi-annual information, as well as information on hires; separations; promotions; and historical data for those organization's where it is available, for five years. National Nuclear Security Administration Kansas City Field Office NA 1 - Immediate Office of the Administrator Livermore Field

  4. Statistical design of a uranium corrosion experiment

    SciTech Connect

    Wendelberger, Joanne R; Moore, Leslie M

    2009-01-01

    This work supports an experiment being conducted by Roland Schulze and Mary Ann Hill to study hydride formation, one of the most important forms of corrosion observed in uranium and uranium alloys. The study goals and objectives are described in Schulze and Hill (2008), and the work described here focuses on development of a statistical experiment plan being used for the study. The results of this study will contribute to the development of a uranium hydriding model for use in lifetime prediction models. A parametric study of the effect of hydrogen pressure, gap size and abrasion on hydride initiation and growth is being planned where results can be analyzed statistically to determine individual effects as well as multi-variable interactions. Input to ESC from this experiment will include expected hydride nucleation, size, distribution, and volume on various uranium surface situations (geometry) as a function of age. This study will also address the effect of hydrogen threshold pressure on corrosion nucleation and the effect of oxide abrasion/breach on hydriding processes. Statistical experiment plans provide for efficient collection of data that aids in understanding the impact of specific experiment factors on initiation and growth of corrosion. The experiment planning methods used here also allow for robust data collection accommodating other sources of variation such as the density of inclusions, assumed to vary linearly along the cast rods from which samples are obtained.

  5. Federal offshore statistics: leasing, exploration, production, revenue

    SciTech Connect

    Essertier, E.P.

    1984-09-01

    This publication is a numerical record of what has happened since Congress gave authority to the Secretary of the Interior in 1953 to lease the federal portion of the Continental Shelf for oil and gas. The publication updates and augments the first Federal Offshore Statistics, published in December 1983. It also extends a statistical series published annually from 1969 until 1981 by the US Geological Survey (USGS) under the title Outer Continental Shelf Statistics. The USGS collected royalties and supervised operation and production of minerals on the Outer Continental Shelf (OCS) until the Minerals Management Service (MMS) took over these functions in 1982. Some of the highlights are: of the 329.5 million acres offered for leasing, 37.1 million acres were actually leased; total revenues for the 1954 to 1983 period were $68,173,112,563 and for 1983 $9,161,435,540; a total of 22,095 wells were drilled in federal waters and 10,145 wells were drilled in state waters; from 1954 through 1983, federal offshore areas produced 6.4 billion barrels of oil and condensate, and 62.1 trillion cubic feet of natural gas; in 1983 alone production was 340.7 million barrels of oil and condensate, and 3.9 trillion cubic feet of gas; and for the second straight year, no oil was lost in 1983 as a result of blowouts in federal waters. 8 figures, 66 tables.

  6. Weatherization Assistance Program - Background Data and Statistics

    SciTech Connect

    Eisenberg, Joel Fred

    2010-03-01

    This technical memorandum is intended to provide readers with information that may be useful in understanding the purposes, performance, and outcomes of the Department of Energy's (DOE's) Weatherization Assistance Program (Weatherization). Weatherization has been in operation for over thirty years and is the nation's largest single residential energy efficiency program. Its primary purpose, established by law, is 'to increase the energy efficiency of dwellings owned or occupied by low-income persons, reduce their total residential energy expenditures, and improve their health and safety, especially low-income persons who are particularly vulnerable such as the elderly, the handicapped, and children.' The American Reinvestment and Recovery Act PL111-5 (ARRA), passed and signed into law in February 2009, committed $5 Billion over two years to an expanded Weatherization Assistance Program. This has created substantial interest in the program, the population it serves, the energy and cost savings it produces, and its cost-effectiveness. This memorandum is intended to address the need for this kind of information. Statistically valid answers to many of the questions surrounding Weatherization and its performance require comprehensive evaluation of the program. DOE is undertaking precisely this kind of independent evaluation in order to ascertain program effectiveness and to improve its performance. Results of this evaluation effort will begin to emerge in late 2010 and 2011, but they require substantial time and effort. In the meantime, the data and statistics in this memorandum can provide reasonable and transparent estimates of key program characteristics. The memorandum is laid out in three sections. The first deals with some key characteristics describing low-income energy consumption and expenditures. The second section provides estimates of energy savings and energy bill reductions that the program can reasonably be presumed to be producing. The third section

  7. Statistical simulation ?of the magnetorotational dynamo

    SciTech Connect

    Squire, J.; Bhattacharjee, A.

    2014-08-01

    We analyze turbulence and dynamo induced by the magnetorotational instability (MRI) using quasi-linear statistical simulation methods. We find that homogenous turbulence is unstable to a large scale dynamo instability, which saturates to an inhomogenous equilibrium with a very strong dependence on the magnetic Prandtl number (Pm). Despite its enormously reduced nonlinearity, the quasi-linear model exhibits the same qualitative scaling of angular momentum transport with Pm as fully nonlinear turbulence. This demonstrates the relationship of recent convergence problems to the large scale dynamo and suggests possible methods for studying astrophysically relevant regimes at very low or high Pm.

  8. Statistical analysis of random duration times

    SciTech Connect

    Engelhardt, M.E.

    1996-04-01

    This report presents basic statistical methods for analyzing data obtained by observing random time durations. It gives nonparametric estimates of the cumulative distribution function, reliability function and cumulative hazard function. These results can be applied with either complete or censored data. Several models which are commonly used with time data are discussed, and methods for model checking and goodness-of-fit tests are discussed. Maximum likelihood estimates and confidence limits are given for the various models considered. Some results for situations where repeated durations such as repairable systems are also discussed.

  9. EIA - Renewable Electricity State Profiles

    Energy Information Administration (EIA) (indexed site)

    Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity ...

  10. Kelly named Fellow of the American Statistical Association

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

    Kelly named ASA Fellow Kelly named Fellow of the American Statistical Association The American Statistical Association (ASA) has honored Elizabeth Kelly with the title of Fellow. August 2, 2016 Elizabeth Kelly Elizabeth Kelly Communications Office (505) 667-7000 Kelly is a member of the American Statistical Society and the American Society for Quality. The American Statistical Association (ASA) has honored Elizabeth Kelly of the Lab's Statistical Sciences group with the title of Fellow. The ASA

  11. Lectures on probability and statistics. Revision

    SciTech Connect

    Yost, G.P.

    1985-06-01

    These notes are based on a set of statistics lectures delivered at Imperial College to the first-year postgraduate students in High Energy Physics. They are designed for the professional experimental scientist. They begin with the fundamentals of probability theory, in which one makes statements about the set of possible outcomes of an experiment, based upon a complete a priori understanding of the experiment. For example, in a roll of a set of (fair) dice, one understands a priori that any given side of each die is equally likely to turn up. From that, we can calculate the probabilty of any specified outcome. They finish with the inverse problem, statistics. Here, one begins with a set of actual data (e.g., the outcomes of a number of rolls of the dice), and attempts to make inferences about the state of nature which gave those data (e.g., the likelihood of seeing any given side of any given die turn up). This is a much more difficult problem, of course, and one's solutions often turn out to be unsatisfactory in one respect or another. Hopefully, the reader will come away from these notes with a feel for some of the problems and uncertainties involved. Although there are standard approaches, most of the time there is no cut and dried ''best'' solution - ''best'' according to every criterion.

  12. International energy indicators. [Statistical tables and graphs

    SciTech Connect

    Bauer, E.K.

    1980-05-01

    International statistical tables and graphs are given for the following: (1) Iran - Crude Oil Capacity, Production and Shut-in, June 1974-April 1980; (2) Saudi Arabia - Crude Oil Capacity, Production, and Shut-in, March 1974-Apr 1980; (3) OPEC (Ex-Iran and Saudi Arabia) - Capacity, Production and Shut-in, June 1974-March 1980; (4) Non-OPEC Free World and US Production of Crude Oil, January 1973-February 1980; (5) Oil Stocks - Free World, US, Japan, and Europe (Landed, 1973-1st Quarter, 1980); (6) Petroleum Consumption by Industrial Countries, January 1973-December 1979; (7) USSR Crude Oil Production and Exports, January 1974-April 1980; and (8) Free World and US Nuclear Generation Capacity, January 1973-March 1980. Similar statistical tables and graphs included for the United States include: (1) Imports of Crude Oil and Products, January 1973-April 1980; (2) Landed Cost of Saudi Oil in Current and 1974 Dollars, April 1974-January 1980; (3) US Trade in Coal, January 1973-March 1980; (4) Summary of US Merchandise Trade, 1976-March 1980; and (5) US Energy/GNP Ratio, 1947 to 1979.

  13. International petroleum statistics report, September 1993

    SciTech Connect

    Not Available

    1993-09-28

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1980, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1992; OECD stocks from 1973 through 1992; and OECD trade from 1982 through 1992. Data for the United States are developed by the Energy Information Administration (EIA) Office of Oil and Gas. Data for other countries are derived largely from published sources including International Energy Agency publications, the EIA International Energy Annual, and the trade press. (See sources after each section). All data are reviewed by the International Statistics Branch of EIA. All data have been converted to units of measurement familiar to the American public. Definitions of oil production and consumption are consistent with other EIA publications.

  14. International petroleum statistics report, July 1999

    SciTech Connect

    1999-07-01

    The International Petroleum Statistics Report is a monthly publication that provides current international oil data. This report is published for the use of Members of Congress, Federal agencies, State agencies, industry, and the general public. The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1990, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years and annually for the three years prior to that. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1998; OECD stocks from 1973 through 1998; and OECD trade from 1988 through 1998. 4 figs., 44 tabs.

  15. Statistics and geometry of cosmic voids

    SciTech Connect

    Gaite, Jos

    2009-11-01

    We introduce new statistical methods for the study of cosmic voids, focusing on the statistics of largest size voids. We distinguish three different types of distributions of voids, namely, Poisson-like, lognormal-like and Pareto-like distributions. The last two distributions are connected with two types of fractal geometry of the matter distribution. Scaling voids with Pareto distribution appear in fractal distributions with box-counting dimension smaller than three (its maximum value), whereas the lognormal void distribution corresponds to multifractals with box-counting dimension equal to three. Moreover, voids of the former type persist in the continuum limit, namely, as the number density of observable objects grows, giving rise to lacunar fractals, whereas voids of the latter type disappear in the continuum limit, giving rise to non-lacunar (multi)fractals. We propose both lacunar and non-lacunar multifractal models of the cosmic web structure of the Universe. A non-lacunar multifractal model is supported by current galaxy surveys as well as cosmological N-body simulations. This model suggests, in particular, that small dark matter halos and, arguably, faint galaxies are present in cosmic voids.

  16. International petroleum statistics report, March 1998

    SciTech Connect

    1998-03-01

    The International Petroleum Statistics Report is a monthly publication that provides current international oil data. This report is published for the use of Members of Congress, Federal agencies, State agencies, industry, and the general public. The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1996; OECD stocks from 1973 through 1996; and OECD trade from 1986 through 1996.

  17. Statistics for nuclear engineers and scientists. Part 1. Basic statistical inference

    SciTech Connect

    Beggs, W.J.

    1981-02-01

    This report is intended for the use of engineers and scientists working in the nuclear industry, especially at the Bettis Atomic Power Laboratory. It serves as the basis for several Bettis in-house statistics courses. The objectives of the report are to introduce the reader to the language and concepts of statistics and to provide a basic set of techniques to apply to problems of the collection and analysis of data. Part 1 covers subjects of basic inference. The subjects include: descriptive statistics; probability; simple inference for normally distributed populations, and for non-normal populations as well; comparison of two populations; the analysis of variance; quality control procedures; and linear regression analysis.

  18. Statistical fingerprinting for malware detection and classification

    SciTech Connect

    Prowell, Stacy J.; Rathgeb, Christopher T.

    2015-09-15

    A system detects malware in a computing architecture with an unknown pedigree. The system includes a first computing device having a known pedigree and operating free of malware. The first computing device executes a series of instrumented functions that, when executed, provide a statistical baseline that is representative of the time it takes the software application to run on a computing device having a known pedigree. A second computing device executes a second series of instrumented functions that, when executed, provides an actual time that is representative of the time the known software application runs on the second computing device. The system detects malware when there is a difference in execution times between the first and the second computing devices.

  19. Statistical correlations in the Moshinsky atom

    SciTech Connect

    Laguna, H. G.; Sagar, R. P.

    2011-07-15

    We study the influence of the interparticle and confining potentials on statistical correlation via the correlation coefficient and mutual information in ground and some excited states of the Moshinsky atom in position and momentum space. The magnitude of the correlation between positions and between momenta is equal in the ground state. In excited states, the correlation between the momenta of the particles is greater than between their positions when they interact through an attractive potential whereas for repulsive interparticle potentials the opposite is true. Shannon entropies, and their sums (entropic formulations of the uncertainty principle), are also analyzed, showing that the one-particle entropy sum is dependent on the interparticle potential and thus able to detect the correlation between particles.

  20. International Petroleum Statistics Report, January 1994

    SciTech Connect

    Not Available

    1994-01-31

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade for the years 1970 through 1992; OECD stocks from 1973 through 1992; and OECD trade from 1982 through 1992.

  1. International petroleum statistics report, November 1993

    SciTech Connect

    Not Available

    1993-11-26

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries World oil production and OECD demand data are for the years 1970 through 1992; OECD stocks from 1973 through 1992: and OECD trade from 1982 through 1992.

  2. International petroleum statistics report, October 1997

    SciTech Connect

    1997-10-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1996; OECD stocks from 1973 through 1996; and OECD trade from 1986 through 1996. 4 figs., 48 tabs.

  3. International Petroleum Statistics Report, July 1994

    SciTech Connect

    Not Available

    1994-07-26

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1993; OECD stocks from 1973 through 1993; and OECD trade from 1983 through 1993. Data for the United States are developed by the Energy Information Administration`s (EIA) Office of Oil and Gas. Data for other countries are derived largely from published sources, including International Energy Agency publications, the EIA International Energy Annual, and the trade press. (See sources after each section.) All data are reviewed by the International Statistics Branch of EIA. All data have been converted to units of measurement familiar to the American public. Definitions of oil production and consumption are consistent with other EIA publications.

  4. User Experience Research and Statistics for the Web | Department of Energy

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

    User Experience Research and Statistics for the Web User Experience Research and Statistics for the Web To improve its websites and applications, especially for new projects, the Office of Energy Efficiency and Renewable Energy (EERE) strongly recommends, but does not require, conducting user experience (UX) research. We only require that you get the appropriate Web Governance Team and OMB approvals, and that you protect any Personally Identifiable Information you collect. Web Analytics and

  5. Detailed Monthly and Annual LNG Import Statistics (2004-2012...

    Energy.gov [DOE] (indexed site)

    Monthly and Annual LNG Import Statistics (2004-2012) Detailed Monthly and Annual LNG Import Statistics (2004-2012) (1.07 MB) More Documents & Publications U.S. LNG Imports and ...

  6. User Statistics | U.S. DOE Office of Science (SC)

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

    Statistics User Facilities User Facilities Home User Facilities at a Glance User Resources User Statistics By Institution By Project Data Archive User Statistics Collection Practices Policies and Processes Frequently Asked Questions User Facility Science Highlights User Facility News Contact Information Office of Science U.S. Department of Energy 1000 Independence Ave., SW Washington, DC 20585 P: (202) 586-5430 User Statistics Print Text Size: A A A FeedbackShare Page The Office of Science

  7. EU Pocketbook - European Vehicle Market Statistics | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    - European Vehicle Market Statistics AgencyCompany Organization: International Council on Clean Transportation Website: eupocketbook.theicct.org Transport Toolkit...

  8. International petroleum statistics report, August 1995

    SciTech Connect

    1995-08-25

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1994; OECD stocks from 1973 through 1994; and OECD trade from 1984 through 1994.

  9. International petroleum statistics report, August 1994

    SciTech Connect

    Not Available

    1994-08-26

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1993; OECD stocks from 1973 through 1993; and OECD trade from 1983 through 1993.

  10. International petroleum statistics report, March 1995

    SciTech Connect

    1995-03-30

    The International Petroleum Statistics Report presents data for March 1995 on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1993; OECD stocks from 1973 through 1993; and OECD trade from 1983 through 1993.

  11. International petroleum statistics report, November 1994

    SciTech Connect

    Not Available

    1994-11-25

    Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The International production, and on oil and stocks. The report has four sections. Section 1 contains time series data on world oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1993; OECD stocks from 1973 through 1993; and OECD trade from 1983 through 1993.

  12. International petroleum statistics report, September 1995

    SciTech Connect

    1995-09-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1994; OECD stocks from 1973 through 1994; and OECD trade from 1984 through 1994. 4 figs., 45 tabs.

  13. International petroleum statistics report, September 1994

    SciTech Connect

    Not Available

    1994-09-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (ECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1993; OECD stocks from 1973 through 1993; and OECD trade from 1983 through 1993.

  14. International petroleum statistics report, October 1993

    SciTech Connect

    Not Available

    1993-10-27

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1980, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1992; OECD stocks from 1982 through 1992.

  15. International petroleum statistics report, December 1993

    SciTech Connect

    Not Available

    1993-12-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1992; OECD stocks from 1973 through 1992; and OECD trade from 1982 through 1992. 41 tabs.

  16. International petroleum statistics report, April 1994

    SciTech Connect

    Not Available

    1994-04-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1993; OECD stocks from 1973 through 1993; and OECD trade from 1982 through 1992. 41 tables.

  17. International petroleum statistics report, February 1994

    SciTech Connect

    Not Available

    1994-02-28

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1992; OECD stocks from 1973 through 1992; and OECD trade from 1982 through 1992.

  18. Statistical Hot Channel Analysis for the NBSR

    SciTech Connect

    Cuadra A.; Baek J.

    2014-05-27

    A statistical analysis of thermal limits has been carried out for the research reactor (NBSR) at the National Institute of Standards and Technology (NIST). The objective of this analysis was to update the uncertainties of the hot channel factors with respect to previous analysis for both high-enriched uranium (HEU) and low-enriched uranium (LEU) fuels. Although uncertainties in key parameters which enter into the analysis are not yet known for the LEU core, the current analysis uses reasonable approximations instead of conservative estimates based on HEU values. Cumulative distribution functions (CDFs) were obtained for critical heat flux ratio (CHFR), and onset of flow instability ratio (OFIR). As was done previously, the Sudo-Kaminaga correlation was used for CHF and the Saha-Zuber correlation was used for OFI. Results were obtained for probability levels of 90%, 95%, and 99.9%. As an example of the analysis, the results for both the existing reactor with HEU fuel and the LEU core show that CHFR would have to be above 1.39 to assure with 95% probability that there is no CHF. For the OFIR, the results show that the ratio should be above 1.40 to assure with a 95% probability that OFI is not reached.

  19. International petroleum statistics report, February 1997

    SciTech Connect

    1997-02-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1985 through 1995. 4 figs., 47 tabs.

  20. International petroleum statistics report, April 1999

    SciTech Connect

    1999-05-04

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance fore the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 48 tabs.

  1. International petroleum statistics report, March 1994

    SciTech Connect

    1994-03-28

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1992; OECD stocks from 1973 through 1992; and OECD trade from 1982 through 1992.

  2. International petroleum statistics report, September 1996

    SciTech Connect

    1996-09-27

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1985 through 1995.

  3. International petroleum statistics report, May 1999

    SciTech Connect

    1999-05-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1990, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1998; OECD stocks from 1973 through 1998; and OECD trade from 1988 through 1998. 4 figs., 48 tabs.

  4. International petroleum statistics report, February 1999

    SciTech Connect

    1999-02-01

    The International petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970--1997; OECD stocks from 1973--1997; and OECD trade from 1987--1997.

  5. International petroleum statistics report, February 1996

    SciTech Connect

    1996-02-28

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1994; OECD stocks from 1973 through 1994; and OECD trade from 1984 through 1994.

  6. International petroleum statistics report, January 1999

    SciTech Connect

    1999-01-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 46 tabs.

  7. International petroleum statistics report, March 1999

    SciTech Connect

    1999-03-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1990, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years and annually for the three years prior to that. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarter data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 48 tabs.

  8. International petroleum statistics report, August 1998

    SciTech Connect

    1998-08-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 48 tabs.

  9. International petroleum statistics report, June 1997

    SciTech Connect

    1997-06-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1996; OECD stocks from 1973 through 1996; and OECD trade from 1986 through 1996. 46 tabs.

  10. International petroleum statistics report, September 1998

    SciTech Connect

    1998-09-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 46 tabs.

  11. International petroleum statistics report, October 1998

    SciTech Connect

    1998-10-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 46 tabs.

  12. International petroleum statistics report, April 1997

    SciTech Connect

    1997-04-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1985 through 1995. 4 figs., 47 tabs.

  13. International petroleum statistics report, February 1998

    SciTech Connect

    1998-02-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1996; OECD stocks from 1973 through 1996; and OECD trade from 1986 through 1996. 4 figs., 48 tabs.

  14. International petroleum statistics report, June 1998

    SciTech Connect

    1998-06-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 48 tabs.

  15. International petroleum statistics report, May 1998

    SciTech Connect

    1998-05-01

    The International Petroleum Statistics report is a monthly publication that provides current international oil data. It presents data on international production, demand, imports and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two year. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997, and OECD trade from 1987 through 1997. 4 fig., 48 tabs.

  16. International petroleum statistics report, November 1998

    SciTech Connect

    1998-11-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 46 tabs.

  17. International petroleum statistics report, June 1999

    SciTech Connect

    1999-06-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1990, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years and annually for the three years prior to that. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1998; OECD stocks from 1973 through 1998; and OECD trade from 1988 through 1998. 4 figs., 46 tabs.

  18. International petroleum statistics report, April 1998

    SciTech Connect

    1998-04-01

    The International Petroleum Statistics Report presents data on International oil production, demand, imports and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997; and OECD trade from 1986 through 1996. 4 figs., 46 tabs.

  19. International petroleum statistics report, December 1998

    SciTech Connect

    1998-12-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 46 tabs.

  20. International petroleum statistics report, July 1998

    SciTech Connect

    1998-07-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 46 tabs.

  1. International petroleum statistics report, December 1997

    SciTech Connect

    1997-12-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. The balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1996; OECD stocks from 1973 through 1996; and OECD trade from 1986 through 1996. 4 figs., 46 tabs.

  2. International petroleum statistics report, May 1995

    SciTech Connect

    1995-05-30

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1994; OECD stocks from 1973 through 1994; and OECD trade from 1983 through 1993.

  3. Statistical Characterization of Medium-Duty Electric Vehicle Drive Cycles

    SciTech Connect

    Prohaska, Robert; Duran, Adam; Ragatz, Adam; Kelly, Kenneth

    2015-05-03

    In an effort to help commercialize technologies for electric vehicles (EVs) through deployment and demonstration projects, the U.S. Department of Energy's (DOE's) American Recovery and Reinvestment Act (ARRA) provided funding to participating U.S. companies to cover part of the cost of purchasing new EVs. Within the medium- and heavy-duty commercial vehicle segment, both Smith Electric Newton and and Navistar eStar vehicles qualified for such funding opportunities. In an effort to evaluate the performance characteristics of the new technologies deployed in these vehicles operating under real world conditions, data from Smith Electric and Navistar medium-duty EVs were collected, compiled, and analyzed by the National Renewable Energy Laboratory's (NREL) Fleet Test and Evaluation team over a period of 3 years. More than 430 Smith Newton EVs have provided data representing more than 150,000 days of operation. Similarly, data have been collected from more than 100 Navistar eStar EVs, resulting in a comparative total of more than 16,000 operating days. Combined, NREL has analyzed more than 6 million kilometers of driving and 4 million hours of charging data collected from commercially operating medium-duty electric vehicles in various configurations. In this paper, extensive duty-cycle statistical analyses are performed to examine and characterize common vehicle dynamics trends and relationships based on in-use field data. The results of these analyses statistically define the vehicle dynamic and kinematic requirements for each vehicle, aiding in the selection of representative chassis dynamometer test cycles and the development of custom drive cycles that emulate daily operation. In this paper, the methodology and accompanying results of the duty-cycle statistical analysis are presented and discussed. Results are presented in both graphical and tabular formats illustrating a number of key relationships between parameters observed within the data set that relate to

  4. Random paths and current fluctuations in nonequilibrium statistical mechanics

    SciTech Connect

    Gaspard, Pierre

    2014-07-15

    An overview is given of recent advances in nonequilibrium statistical mechanics about the statistics of random paths and current fluctuations. Although statistics is carried out in space for equilibrium statistical mechanics, statistics is considered in time or spacetime for nonequilibrium systems. In this approach, relationships have been established between nonequilibrium properties such as the transport coefficients, the thermodynamic entropy production, or the affinities, and quantities characterizing the microscopic Hamiltonian dynamics and the chaos or fluctuations it may generate. This overview presents results for classical systems in the escape-rate formalism, stochastic processes, and open quantum systems.

  5. Statistics of particle time-temperature histories.

    SciTech Connect

    Hewson, John C.; Lignell, David O.; Sun, Guangyuan

    2014-10-01

    Particles in non - isothermal turbulent flow are subject to a stochastic environment tha t produces a distribution of particle time - temperature histories. This distribution is a function of the dispersion of the non - isothermal (continuous) gas phase and the distribution of particles relative to that gas phase. In this work we extend the one - dimensional turbulence (ODT) model to predict the joint dispersion of a dispersed particle phase and a continuous phase. The ODT model predicts the turbulent evolution of continuous scalar fields with a model for the cascade of fluctuations to smaller sc ales (the 'triplet map') at a rate that is a function of the fully resolved one - dimens ional velocity field . Stochastic triplet maps also drive Lagrangian particle dispersion with finite Stokes number s including inertial and eddy trajectory - crossing effect s included. Two distinct approaches to this coupling between triplet maps and particle dispersion are developed and implemented along with a hybrid approach. An 'instantaneous' particle displacement model matches the tracer particle limit and provide s an accurate description of particle dispersion. A 'continuous' particle displacement m odel translates triplet maps into a continuous velocity field to which particles respond. Particles can alter the turbulence, and modifications to the stochastic rate expr ession are developed for two - way coupling between particles and the continuous phase. Each aspect of model development is evaluated in canonical flows (homogeneous turbulence, free - shear flows and wall - bounded flows) for which quality measurements are ava ilable. ODT simulations of non - isothermal flows provide statistics for particle heating. These simulations show the significance of accurately predicting the joint statistics of particle and fluid dispersion . Inhomogeneous turbulence coupled with the in fluence of the mean flow fields on particles of varying properties alter s particle dispersion. The

  6. Statistical theory of turbulent incompressible multimaterial flow

    SciTech Connect

    Kashiwa, B.

    1987-10-01

    Interpenetrating motion of incompressible materials is considered. ''Turbulence'' is defined as any deviation from the mean motion. Accordingly a nominally stationary fluid will exhibit turbulent fluctuations due to a single, slowly moving sphere. Mean conservation equations for interpenetrating materials in arbitrary proportions are derived using an ensemble averaging procedure, beginning with the exact equations of motion. The result is a set of conservation equations for the mean mass, momentum and fluctuational kinetic energy of each material. The equation system is at first unclosed due to integral terms involving unknown one-point and two-point probability distribution functions. In the mean momentum equation, the unclosed terms are clearly identified as representing two physical processes. One is transport of momentum by multimaterial Reynolds stresses, and the other is momentum exchange due to pressure fluctuations and viscous stress at material interfaces. Closure is approached by combining careful examination of multipoint statistical correlations with the traditional physical technique of kappa-epsilon modeling for single-material turbulence. This involves representing the multimaterial Reynolds stress for each material as a turbulent viscosity times the rate of strain based on the mean velocity of that material. The multimaterial turbulent viscosity is related to the fluctuational kinetic energy kappa, and the rate of fluctuational energy dissipation epsilon, for each material. Hence a set of kappa and epsilon equations must be solved, together with mean mass and momentum conservation equations, for each material. Both kappa and the turbulent viscosities enter into the momentum exchange force. The theory is applied to (a) calculation of the drag force on a sphere fixed in a uniform flow, (b) calculation of the settling rate in a suspension and (c) calculation of velocity profiles in the pneumatic transport of solid particles in a pipe.

  7. A Statistical Perspective on Highly Accelerated Testing.

    SciTech Connect

    Thomas, Edward V.

    2015-02-01

    Highly accelerated life testing has been heavily promoted at Sandia (and elsewhere) as a means to rapidly identify product weaknesses caused by flaws in the product's design or manufacturing process. During product development, a small number of units are forced to fail at high stress. The failed units are then examined to determine the root causes of failure. The identification of the root causes of product failures exposed by highly accelerated life testing can instigate changes to the product's design and/or manufacturing process that result in a product with increased reliability. It is widely viewed that this qualitative use of highly accelerated life testing (often associated with the acronym HALT) can be useful. However, highly accelerated life testing has also been proposed as a quantitative means for "demonstrating" the reliability of a product where unreliability is associated with loss of margin via an identified and dominating failure mechanism. It is assumed that the dominant failure mechanism can be accelerated by changing the level of a stress factor that is assumed to be related to the dominant failure mode. In extreme cases, a minimal number of units (often from a pre-production lot) are subjected to a single highly accelerated stress relative to normal use. If no (or, sufficiently few) units fail at this high stress level, some might claim that a certain level of reliability has been demonstrated (relative to normal use conditions). Underlying this claim are assumptions regarding the level of knowledge associated with the relationship between the stress level and the probability of failure. The primary purpose of this document is to discuss (from a statistical perspective) the efficacy of using accelerated life testing protocols (and, in particular, "highly accelerated" protocols) to make quantitative inferences concerning the performance of a product (e.g., reliability) when in fact there is lack-of-knowledge and uncertainty concerning the

  8. EERE Web Site Engagement Statistics: FY09

    Energy.gov [DOE] (indexed site)

    Department of Energy This template was designed for print material originating from the U.S. Department of Energy's Energy Efficiency and Renewable Energy Office. EERE Template for Microsoft Word Document Standard Cover and Second Page (81.54 KB) More Documents & Publications EERE Template for Microsoft Word Document Standard Cover and Second Page CX-002453: Categorical Exclusion Determination The FY 2007 Budget Request - On the Threshold of Incredible Advances

    FY09 WEB SITE

  9. A Statistical Framework for Microbial Source Attribution

    SciTech Connect

    Velsko, S P; Allen, J E; Cunningham, C T

    2009-04-28

    This report presents a general approach to inferring transmission and source relationships among microbial isolates from their genetic sequences. The outbreak transmission graph (also called the transmission tree or transmission network) is the fundamental structure which determines the statistical distributions relevant to source attribution. The nodes of this graph are infected individuals or aggregated sub-populations of individuals in which transmitted bacteria or viruses undergo clonal expansion, leading to a genetically heterogeneous population. Each edge of the graph represents a transmission event in which one or a small number of bacteria or virions infects another node thus increasing the size of the transmission network. Recombination and re-assortment events originate in nodes which are common to two distinct networks. In order to calculate the probability that one node was infected by another, given the observed genetic sequences of microbial isolates sampled from them, we require two fundamental probability distributions. The first is the probability of obtaining the observed mutational differences between two isolates given that they are separated by M steps in a transmission network. The second is the probability that two nodes sampled randomly from an outbreak transmission network are separated by M transmission events. We show how these distributions can be obtained from the genetic sequences of isolates obtained by sampling from past outbreaks combined with data from contact tracing studies. Realistic examples are drawn from the SARS outbreak of 2003, the FMDV outbreak in Great Britain in 2001, and HIV transmission cases. The likelihood estimators derived in this report, and the underlying probability distribution functions required to calculate them possess certain compelling general properties in the context of microbial forensics. These include the ability to quantify the significance of a sequence 'match' or 'mismatch' between two isolates

  10. Design and performance of a scalable, parallel statistics toolkit.

    SciTech Connect

    Thompson, David C.; Bennett, Janine Camille; Pebay, Philippe Pierre

    2010-11-01

    Most statistical software packages implement a broad range of techniques but do so in an ad hoc fashion, leaving users who do not have a broad knowledge of statistics at a disadvantage since they may not understand all the implications of a given analysis or how to test the validity of results. These packages are also largely serial in nature, or target multicore architectures instead of distributed-memory systems, or provide only a small number of statistics in parallel. This paper surveys a collection of parallel implementations of statistics algorithm developed as part of a common framework over the last 3 years. The framework strategically groups modeling techniques with associated verification and validation techniques to make the underlying assumptions of the statistics more clear. Furthermore it employs a design pattern specifically targeted for distributed-memory parallelism, where architectural advances in large-scale high-performance computing have been focused. Moment-based statistics (which include descriptive, correlative, and multicorrelative statistics, principal component analysis (PCA), and k-means statistics) scale nearly linearly with the data set size and number of processes. Entropy-based statistics (which include order and contingency statistics) do not scale well when the data in question is continuous or quasi-diffuse but do scale well when the data is discrete and compact. We confirm and extend our earlier results by now establishing near-optimal scalability with up to 10,000 processes.

  11. Experimental uncertainty estimation and statistics for data having interval uncertainty.

    SciTech Connect

    Kreinovich, Vladik; Oberkampf, William Louis; Ginzburg, Lev; Ferson, Scott; Hajagos, Janos

    2007-05-01

    This report addresses the characterization of measurements that include epistemic uncertainties in the form of intervals. It reviews the application of basic descriptive statistics to data sets which contain intervals rather than exclusively point estimates. It describes algorithms to compute various means, the median and other percentiles, variance, interquartile range, moments, confidence limits, and other important statistics and summarizes the computability of these statistics as a function of sample size and characteristics of the intervals in the data (degree of overlap, size and regularity of widths, etc.). It also reviews the prospects for analyzing such data sets with the methods of inferential statistics such as outlier detection and regressions. The report explores the tradeoff between measurement precision and sample size in statistical results that are sensitive to both. It also argues that an approach based on interval statistics could be a reasonable alternative to current standard methods for evaluating, expressing and propagating measurement uncertainties.

  12. Nonlinearity sensing via photon-statistics excitation spectroscopy

    SciTech Connect

    Assmann, Marc; Bayer, Manfred

    2011-11-15

    We propose photon-statistics excitation spectroscopy as an adequate tool to describe the optical response of a nonlinear system. To this end we suggest to use optical excitation with varying photon statistics as another spectroscopic degree of freedom to gather information about the system in question. The responses of several simple model systems to excitation beams with different photon statistics are discussed. Possible spectroscopic applications in terms of identifying lasing operation are pointed out.

  13. Angular-momentum nonclassicality by breaking classical bounds on statistics

    SciTech Connect

    Luis, Alfredo; Rivas, Angel

    2011-10-15

    We derive simple practical procedures revealing the quantum behavior of angular momentum variables by the violation of classical upper bounds on the statistics. Data analysis is minimum and definite conclusions are obtained without evaluation of moments, or any other more sophisticated procedures. These nonclassical tests are very general and independent of other typical quantum signatures of nonclassical behavior such as sub-Poissonian statistics, squeezing, or oscillatory statistics, being insensitive to the nonclassical behavior displayed by other variables.

  14. Multivariate Statistical Analysis of Water Chemistry in Evaluating the

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

    Origin of Contamination in Many Devils Wash, Shiprock, New Mexico | Department of Energy Multivariate Statistical Analysis of Water Chemistry in Evaluating the Origin of Contamination in Many Devils Wash, Shiprock, New Mexico Multivariate Statistical Analysis of Water Chemistry in Evaluating the Origin of Contamination in Many Devils Wash, Shiprock, New Mexico Multivariate Statistical Analysis of Water Chemistry in Evaluating the Origin of Contamination in Many Devils Wash, Shiprock, New

  15. Robust Algorithm for Computing Statistical Stark Broadening of...

    Office of Scientific and Technical Information (OSTI)

    Citation Details In-Document Search Title: Robust Algorithm for Computing Statistical ... Language: English Subject: 70 PLASMA PHYSICS AND FUSION; ACCURACY; ALGORITHMS; ...

  16. BP Statistical Review of World Energy | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    OpenEI The BP Statistical Review of World Energy is an Excel spreadsheet which contains consumption and production data for Coal, Natural Gas, Nuclear, Oil, and Hydroelectric...

  17. Key World Energy Statistics-2010 | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    World Energy Statistics-2010 AgencyCompany Organization: International Energy Agency Sector: Energy Topics: Market analysis Resource Type: Dataset, Maps Website: www.iea.org...

  18. STATISTICAL MECHANICS MODELING OF MESOSCALE DEFORMATION IN METALS...

    Office of Scientific and Technical Information (OSTI)

    STATISTICAL MECHANICS MODELING OF MESOSCALE DEFORMATION IN METALS Anter El-Azab 36 MATERIALS SCIENCE dislocation dynamics; mesoscale deformation of metals; crystal mechanics...

  19. A statistical perspective of validation and UQ (Conference) ...

    Office of Scientific and Technical Information (OSTI)

    Title: A statistical perspective of validation and UQ Authors: Higdon, David M 1 + Show Author Affiliations Los Alamos National Laboratory Los Alamos National Laboratory ...

  20. Doppler Lidar Vertical Velocity Statistics Value-Added Product...

    Office of Scientific and Technical Information (OSTI)

    Citation Details In-Document Search Title: Doppler Lidar Vertical Velocity Statistics ... Facility operates coherent Doppler lidar systems at several sites around the globe. ...

  1. International Monetary Fund-Data and Statistics | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    "The IMF publishes a range of time series data on IMF lending, exchange rates and other economic and financial indicators. Manuals, guides, and other material on statistical...

  2. IRF-World Road Statistics | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    AgencyCompany Organization: International Road Statistics Focus Area: Transportation, Economic Development Resource Type: Dataset Website: www.irfnet.orgstatistics.php Cost:...

  3. TITLE V-CONFIDENTIAL INFORMATION PROTECTION AND STATISTICAL EFFI...

    Gasoline and Diesel Fuel Update

    or maintain the systems for handling or storage of data received under this title; and ... data anomalies, produce statistical samples that are consistently adjusted for the ...

  4. UN-Glossary for Transportation Statistics | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Publications Website: www.internationaltransportforum.orgPubpdfGloStat3e.pdf Cost: Free UN-Glossary for Transportation Statistics Screenshot References: UN-Glossary for...

  5. Autocorrelation Function Statistics and Implication to Decay Ratio Estimation

    SciTech Connect

    March-Leuba, Jose A.

    2016-01-01

    This document summarizes the results of a series of computer simulations to attempt to identify the statistics of the autocorrelation function, and implications for decay ratio estimation.

  6. An overview of component qualification using Bayesian statistics...

    Office of Scientific and Technical Information (OSTI)

    Example problems with solutions have been supplied as a learning aid. Bold letters are ... COMPUTING, AND INFORMATION SCIENCE; LEARNING; STATISTICS; MATHEMATICS Word Cloud More ...

  7. Experimental and Statistical Comparison of Engine Response as...

    Office of Scientific and Technical Information (OSTI)

    Experimental and Statistical Comparison of Engine Response as a Function of Fuel Chemistry ... Engine Response as a Function of Fuel Chemistry and Properties in CI and HCCI Engines ...

  8. UNECE-Annual Bulletin of Transport Statistics for Europe and...

    OpenEI (Open Energy Information) [EERE & EIA]

    Data covers Europe, Canada and the United States. This is a trilingual publication in English, French and Russian." "This annual publication presents statistics and brief studies...

  9. Appendix D: Statistical Methodology of Estimating Petroleum Exports...

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

    EIA previously used forecasts based on an autoregressive integrated moving-average (ARIMA) procedure to model weekly export statistics using U.S. Census Bureau (USCB) data. ...

  10. WHO Statistical Information System (WHOSIS) | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Classification of Diseases (ICD-10), International Classification of Impairments, Disabilities and Handicaps (ICIDH) Links to other sources of health-related statistical...

  11. MISR-Derived Statistics of Cumulus Geometry at TWP Site

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

    ... We found that the satellite-derived basic statistics are similar to those from ... New directions in earth observing: Scientific applications of multi-angle remote sensing. ...

  12. Infinite statistics condensate as a model of dark matter

    SciTech Connect

    Ebadi, Zahra; Mirza, Behrouz; Mohammadzadeh, Hosein E-mail: b.mirza@cc.iut.ac.ir

    2013-11-01

    In some models, dark matter is considered as a condensate bosonic system. In this paper, we prove that condensation is also possible for particles that obey infinite statistics and derive the critical condensation temperature. We argue that a condensed state of a gas of very weakly interacting particles obeying infinite statistics could be considered as a consistent model of dark matter.

  13. Sub-Poissonian statistics in order-to-chaos transition

    SciTech Connect

    Kryuchkyan, Gagik Yu. [Yerevan State University, Manookyan 1, Yerevan 375049, (Armenia); Institute for Physical Research, National Academy of Sciences, Ashtarak-2 378410, (Armenia); Manvelyan, Suren B. [Institute for Physical Research, National Academy of Sciences, Ashtarak-2 378410, (Armenia)

    2003-07-01

    We study the phenomena at the overlap of quantum chaos and nonclassical statistics for the time-dependent model of nonlinear oscillator. It is shown in the framework of Mandel Q parameter and Wigner function that the statistics of oscillatory excitation numbers is drastically changed in the order-to-chaos transition. The essential improvement of sub-Poissonian statistics in comparison with an analogous one for the standard model of driven anharmonic oscillator is observed for the regular operational regime. It is shown that in the chaotic regime, the system exhibits the range of sub-Poissonian and super-Poissonian statistics which alternate one to other depending on time intervals. Unusual dependence of the variance of oscillatory number on the external noise level for the chaotic dynamics is observed. The scaling invariance of the quantum statistics is demonstrated and its relation to dissipation and decoherence is studied.

  14. Statistical mechanics based on fractional classical and quantum mechanics

    SciTech Connect

    Korichi, Z.; Meftah, M. T.

    2014-03-15

    The purpose of this work is to study some problems in statistical mechanics based on the fractional classical and quantum mechanics. At first stage we have presented the thermodynamical properties of the classical ideal gas and the system of N classical oscillators. In both cases, the Hamiltonian contains fractional exponents of the phase space (position and momentum). At the second stage, in the context of the fractional quantum mechanics, we have calculated the thermodynamical properties for the black body radiation, studied the Bose-Einstein statistics with the related problem of the condensation and the Fermi-Dirac statistics.

  15. Techniques in teaching statistics : linking research production and research use.

    SciTech Connect

    Martinez-Moyano, I .; Smith, A.

    2012-01-01

    In the spirit of closing the 'research-practice gap,' the authors extend evidence-based principles to statistics instruction in social science graduate education. The authors employ a Delphi method to survey experienced statistics instructors to identify teaching techniques to overcome the challenges inherent in teaching statistics to students enrolled in practitioner-oriented master's degree programs. Among the teaching techniques identi?ed as essential are using real-life examples, requiring data collection exercises, and emphasizing interpretation rather than results. Building on existing research, preliminary interviews, and the ?ndings from the study, the authors develop a model describing antecedents to the strength of the link between research and practice.

  16. Statistical anisotropies in gravitational waves in solid inflation

    SciTech Connect

    Akhshik, Mohammad; Emami, Razieh; Firouzjahi, Hassan; Wang, Yi E-mail: emami@ipm.ir E-mail: yw366@cam.ac.uk

    2014-09-01

    Solid inflation can support a long period of anisotropic inflation. We calculate the statistical anisotropies in the scalar and tensor power spectra and their cross-correlation in anisotropic solid inflation. The tensor-scalar cross-correlation can either be positive or negative, which impacts the statistical anisotropies of the TT and TB spectra in CMB map more significantly compared with the tensor self-correlation. The tensor power spectrum contains potentially comparable contributions from quadrupole and octopole angular patterns, which is different from the power spectra of scalar, the cross-correlation or the scalar bispectrum, where the quadrupole type statistical anisotropy dominates over octopole.

  17. Spectroscopic Test of Bose-Einstein Statistics for Photons

    SciTech Connect

    English, D.; Yashchuk, V. V.; Budker, D.

    2010-06-25

    Using Bose-Einstein-statistics-forbidden two-photon excitation in atomic barium, we have limited the rate of statistics-violating transitions, as a fraction {nu} of an equivalent statistics-allowed transition rate, to {nu}<4.0x10{sup -11} at the 90% confidence level. This is an improvement of more than 3 orders of magnitude over the best previous result. Additionally, hyperfine-interaction enabling of the forbidden transition has been observed, to our knowledge, for the first time.

  18. UN-Energy Statistics Database | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    PV, Wind Resource Type: Dataset Website: data.un.orgExplorer.aspx?dEDATA Cost: Free Language: English UN-Energy Statistics Database Screenshot References: UN Data1 "The United...

  19. A Divergence Statistics Extension to VTK for Performance Analysis.

    SciTech Connect

    Pebay, Philippe Pierre; Bennett, Janine Camille

    2015-02-01

    This report follows the series of previous documents ([PT08, BPRT09b, PT09, BPT09, PT10, PB13], where we presented the parallel descriptive, correlative, multi-correlative, principal component analysis, contingency, k -means, order and auto-correlative statistics engines which we developed within the Visualization Tool Kit ( VTK ) as a scalable, parallel and versatile statistics package. We now report on a new engine which we developed for the calculation of divergence statistics, a concept which we hereafter explain and whose main goal is to quantify the discrepancy, in a stasticial manner akin to measuring a distance, between an observed empirical distribution and a theoretical, "ideal" one. The ease of use of the new diverence statistics engine is illustrated by the means of C++ code snippets. Although this new engine does not yet have a parallel implementation, it has already been applied to HPC performance analysis, of which we provide an example.

  20. Statistical Analysis of Transient Cycle Test Results in a 40...

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

    Statistical Analysis of Transient Cycle Test Results in a 40 ... of calibration and measurement methods deer09shade.pdf ... Evaluation of a Partial Flow Dilution System for Transient ...

  1. Data analysis using the Gnu R system for statistical computation

    SciTech Connect

    Simone, James; /Fermilab

    2011-07-01

    R is a language system for statistical computation. It is widely used in statistics, bioinformatics, machine learning, data mining, quantitative finance, and the analysis of clinical drug trials. Among the advantages of R are: it has become the standard language for developing statistical techniques, it is being actively developed by a large and growing global user community, it is open source software, it is highly portable (Linux, OS-X and Windows), it has a built-in documentation system, it produces high quality graphics and it is easily extensible with over four thousand extension library packages available covering statistics and applications. This report gives a very brief introduction to R with some examples using lattice QCD simulation results. It then discusses the development of R packages designed for chi-square minimization fits for lattice n-pt correlation functions.

  2. [pic] EERE Web Site Statistics - Publication and Product Library

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

    ... Other relevant reports and analyses: Separate SPV Statistics for New and Returning ... |1|3.45%| ||Google|1|3.45%| |12.|earth sheltered money saving tips|1|3.45%| ...

  3. Self-assessed performance improves statistical fusion of image labels

    SciTech Connect

    Bryan, Frederick W. Xu, Zhoubing; Asman, Andrew J.; Allen, Wade M.; Reich, Daniel S.; Landman, Bennett A.

    2014-03-15

    Purpose: Expert manual labeling is the gold standard for image segmentation, but this process is difficult, time-consuming, and prone to inter-individual differences. While fully automated methods have successfully targeted many anatomies, automated methods have not yet been developed for numerous essential structures (e.g., the internal structure of the spinal cord as seen on magnetic resonance imaging). Collaborative labeling is a new paradigm that offers a robust alternative that may realize both the throughput of automation and the guidance of experts. Yet, distributing manual labeling expertise across individuals and sites introduces potential human factors concerns (e.g., training, software usability) and statistical considerations (e.g., fusion of information, assessment of confidence, bias) that must be further explored. During the labeling process, it is simple to ask raters to self-assess the confidence of their labels, but this is rarely done and has not been previously quantitatively studied. Herein, the authors explore the utility of self-assessment in relation to automated assessment of rater performance in the context of statistical fusion. Methods: The authors conducted a study of 66 volumes manually labeled by 75 minimally trained human raters recruited from the university undergraduate population. Raters were given 15 min of training during which they were shown examples of correct segmentation, and the online segmentation tool was demonstrated. The volumes were labeled 2D slice-wise, and the slices were unordered. A self-assessed quality metric was produced by raters for each slice by marking a confidence bar superimposed on the slice. Volumes produced by both voting and statistical fusion algorithms were compared against a set of expert segmentations of the same volumes. Results: Labels for 8825 distinct slices were obtained. Simple majority voting resulted in statistically poorer performance than voting weighted by self-assessed performance

  4. Evaluation of cirrus statistics produced by general circulation models

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

    using ARM data cirrus statistics produced by general circulation models using ARM data Hartsock, Daniel University of Utah Mace, Gerald University of Utah Benson, Sally University of Utah Category: Modeling Our goal is to evaluate the skill of various general circulation models for producing climatological cloud statistics by comparing them to the cirrus climatology compiled over the Southern Great Plains (SGP) ARM site. This evaluation includes quantifying similar cloud properties and

  5. An overview of component qualification using Bayesian statistics and energy

    Office of Scientific and Technical Information (OSTI)

    methods. (Technical Report) | SciTech Connect An overview of component qualification using Bayesian statistics and energy methods. Citation Details In-Document Search Title: An overview of component qualification using Bayesian statistics and energy methods. The below overview is designed to give the reader a limited understanding of Bayesian and Maximum Likelihood (MLE) estimation; a basic understanding of some of the mathematical tools to evaluate the quality of an estimation; an

  6. Final Report on Statistical Debugging for Petascale Environments (Technical

    Office of Scientific and Technical Information (OSTI)

    Report) | SciTech Connect Final Report on Statistical Debugging for Petascale Environments Citation Details In-Document Search Title: Final Report on Statistical Debugging for Petascale Environments Authors: Liblit, B Publication Date: 2013-01-18 OSTI Identifier: 1062211 Report Number(s): LLNL-SR-612077 DOE Contract Number: W-7405-ENG-48 Resource Type: Technical Report Research Org: Lawrence Livermore National Laboratory (LLNL), Livermore, CA Sponsoring Org: USDOE Country of Publication:

  7. Statistical surrogate models for prediction of high-consequence climate

    Office of Scientific and Technical Information (OSTI)

    change. (Technical Report) | SciTech Connect Statistical surrogate models for prediction of high-consequence climate change. Citation Details In-Document Search Title: Statistical surrogate models for prediction of high-consequence climate change. In safety engineering, performance metrics are defined using probabilistic risk assessments focused on the low-probability, high-consequence tail of the distribution of possible events, as opposed to best estimates based on central tendencies. We

  8. Physics-based statistical learning approach to mesoscopic model selection

    Office of Scientific and Technical Information (OSTI)

    (Journal Article) | DOE PAGES Publisher's Accepted Manuscript: Physics-based statistical learning approach to mesoscopic model selection Title: Physics-based statistical learning approach to mesoscopic model selection Authors: Taverniers, Søren ; Haut, Terry S. ; Barros, Kipton ; Alexander, Francis J. ; Lookman, Turab Publication Date: 2015-11-09 OSTI Identifier: 1225546 Grant/Contract Number: AC52-06NA25396; 20140013DR Type: Publisher's Accepted Manuscript Journal Name: Physical Review E

  9. Columbia River Basin Seasonal Volumes and Statistics, 1928-1989. 1990 Level Modified Streamflows Computed Seasonal Volumes 61-Year Statistics.

    SciTech Connect

    A.G. Crook Company

    1993-04-01

    This report was prepared by the A.G. Crook Company, under contract to Bonneville Power Administration, and provides statistics of seasonal volumes and streamflow for 28 selected sites in the Columbia River Basin.

  10. Non-gaussian mode coupling and the statistical cosmological principle

    SciTech Connect

    LoVerde, Marilena; Nelson, Elliot; Shandera, Sarah E-mail: eln121@psu.edu

    2013-06-01

    Local-type primordial non-Gaussianity couples statistics of the curvature perturbation ? on vastly different physical scales. Because of this coupling, statistics (i.e. the polyspectra) of ? in our Hubble volume may not be representative of those in the larger universe that is, they may be biased. The bias depends on the local background value of ?, which includes contributions from all modes with wavelength k?statistics for general local-type non-Gaussianity. We consider three examples in detail: (i) the usual f{sub NL}, g{sub NL} model, (ii) a strongly non-Gaussian model with ? ? ?{sub G}{sup p}, and (iii) two-field non-Gaussian initial conditions. In each scenario one may generate statistics in a Hubble-size patch that are weakly Gaussian and consistent with observations despite the fact that the statistics in the larger, post-inflationary patch look very different.

  11. District of Columbia Renewable Electric Power Industry Statistics

    Energy Information Administration (EIA) (indexed site)

    " Hydro Conventional","-","-" " Solar","-","-" " Wind","-","-" " WoodWood ... " Hydro Conventional","-","-" " Solar","-","-" " Wind","-","-" " WoodWood ...

  12. Quality control and statistical process control for nuclear analytical measurements

    SciTech Connect

    Seymour, R.; Sergent, F.; Clark, W.H.C.; Gleason, G.

    1993-12-31

    The same driving forces that are making businesses examine quality control of manufacturing processes are making laboratories reevaluate their quality control programs. Increased regulation (accountability), global competitiveness (profitability), and potential for litigation (defensibility) are the principal driving forces behind the development and implementation of QA/QC programs in the nuclear analytical laboratory. Both manufacturing and scientific quality control can use identical statistical methods, albeit with some differences in the treatment of the measured data. Today, the approaches to QC programs are quite different for most analytical laboratories as compared with manufacturing sciences. This is unfortunate because the statistical process control methods are directly applicable to measurement processes. It is shown that statistical process control methods can provide many benefits for laboratory QC data treatment.

  13. System and method for statistically monitoring and analyzing sensed conditions

    DOEpatents

    Pebay, Philippe P.; Brandt, James M. , Gentile; Ann C. , Marzouk; Youssef M. , Hale; Darrian J. , Thompson; David C.

    2010-07-13

    A system and method of monitoring and analyzing a plurality of attributes for an alarm condition is disclosed. The attributes are processed and/or unprocessed values of sensed conditions of a collection of a statistically significant number of statistically similar components subjected to varying environmental conditions. The attribute values are used to compute the normal behaviors of some of the attributes and also used to infer parameters of a set of models. Relative probabilities of some attribute values are then computed and used along with the set of models to determine whether an alarm condition is met. The alarm conditions are used to prevent or reduce the impact of impending failure.

  14. Statistics and Discoveries at the LHC (3/4)

    ScienceCinema

    None

    2011-10-06

    The lectures will give an introduction to statistics as applied in particle physics and will provide all the necessary basics for data analysis at the LHC. Special emphasis will be placed on the the problems and questions that arise when searching for new phenomena, including p-values, discovery significance, limit setting procedures, treatment of small signals in the presence of large backgrounds. Specific issues that will be addressed include the advantages and drawbacks of different statistical test procedures (cut-based, likelihood-ratio, etc.), the look-elsewhere effect and treatment of systematic uncertainties.

  15. System and method for statistically monitoring and analyzing sensed conditions

    DOEpatents

    Pebay, Philippe P.; Brandt, James M.; Gentile, Ann C.; Marzouk, Youssef M.; Hale, Darrian J.; Thompson, David C.

    2011-01-04

    A system and method of monitoring and analyzing a plurality of attributes for an alarm condition is disclosed. The attributes are processed and/or unprocessed values of sensed conditions of a collection of a statistically significant number of statistically similar components subjected to varying environmental conditions. The attribute values are used to compute the normal behaviors of some of the attributes and also used to infer parameters of a set of models. Relative probabilities of some attribute values are then computed and used along with the set of models to determine whether an alarm condition is met. The alarm conditions are used to prevent or reduce the impact of impending failure.

  16. Office of Oil, Gas, and Coal Supply Statistics

    Energy Information Administration (EIA) (indexed site)

    3 Office of Oil, Gas, and Coal Supply Statistics www.eia.gov Natural Gas Annual 2015 U.S. Department of Energy Washington, DC 20585 2015 U.S. Energy Information Administration | Natural Gas Monthly ii This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The

  17. Office of Oil, Gas, and Coal Supply Statistics

    Energy Information Administration (EIA) (indexed site)

    Office of Oil, Gas, and Coal Supply Statistics www.eia.gov Natural Gas Monthly October 2016 U.S. Department of Energy Washington, DC 20585 October 2016 U.S. Energy Information Administration | Natural Gas Monthly ii This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States

  18. System and method for statistically monitoring and analyzing sensed conditions

    SciTech Connect

    Pebay, Philippe P.; Brandt, James M.; Gentile, Ann C.; Marzouk, Youssef M.; Hale, Darrian J.; Thompson, David C.

    2011-01-25

    A system and method of monitoring and analyzing a plurality of attributes for an alarm condition is disclosed. The attributes are processed and/or unprocessed values of sensed conditions of a collection of a statistically significant number of statistically similar components subjected to varying environmental conditions. The attribute values are used to compute the normal behaviors of some of the attributes and also used to infer parameters of a set of models. Relative probabilities of some attribute values are then computed and used along with the set of models to determine whether an alarm condition is met. The alarm conditions are used to prevent or reduce the impact of impending failure.

  19. Statistics and Discoveries at the LHC (2/4)

    ScienceCinema

    None

    2016-07-12

    The lectures will give an introduction to statistics as applied in particle physics and will provide all the necessary basics for data analysis at the LHC. Special emphasis will be placed on the the problems and questions that arise when searching for new phenomena, including p-values, discovery significance, limit setting procedures, treatment of small signals in the presence of large backgrounds. Specific issues that will be addressed include the advantages and drawbacks of different statistical test procedures (cut-based, likelihood-ratio, etc.), the look-elsewhere effect and treatment of systematic uncertainties.

  20. Statistics and Discoveries at the LHC (1/4)

    ScienceCinema

    None

    2011-10-06

    The lectures will give an introduction to statistics as applied in particle physics and will provide all the necessary basics for data analysis at the LHC. Special emphasis will be placed on the the problems and questions that arise when searching for new phenomena, including p-values, discovery significance, limit setting procedures, treatment of small signals in the presence of large backgrounds. Specific issues that will be addressed include the advantages and drawbacks of different statistical test procedures (cut-based, likelihood-ratio, etc.), the look-elsewhere effect and treatment of systematic uncertainties.

  1. Statistics and Discoveries at the LHC (4/4)

    ScienceCinema

    None

    2011-10-06

    The lectures will give an introduction to statistics as applied in particle physics and will provide all the necessary basics for data analysis at the LHC. Special emphasis will be placed on the the problems and questions that arise when searching for new phenomena, including p-values, discovery significance, limit setting procedures, treatment of small signals in the presence of large backgrounds. Specific issues that will be addressed include the advantages and drawbacks of different statistical test procedures (cut-based, likelihood-ratio, etc.), the look-elsewhere effect and treatment of systematic uncertainties.

  2. STATISTICAL ANALYSIS OF THE HEAVY NEUTRAL ATOMS MEASURED BY IBEX

    SciTech Connect

    Park, Jeewoo; Kucharek, Harald; Möbius, Eberhard; Galli, André; Livadiotis, George; Fuselier, Steve A.; McComas, David J.

    2015-10-15

    We investigate the directional distribution of heavy neutral atoms in the heliosphere by using heavy neutral maps generated with the IBEX-Lo instrument over three years from 2009 to 2011. The interstellar neutral (ISN) O and Ne gas flow was found in the first-year heavy neutral map at 601 keV and its flow direction and temperature were studied. However, due to the low counting statistics, researchers have not treated the full sky maps in detail. The main goal of this study is to evaluate the statistical significance of each pixel in the heavy neutral maps to get a better understanding of the directional distribution of heavy neutral atoms in the heliosphere. Here, we examine three statistical analysis methods: the signal-to-noise filter, the confidence limit method, and the cluster analysis method. These methods allow us to exclude background from areas where the heavy neutral signal is statistically significant. These methods also allow the consistent detection of heavy neutral atom structures. The main emission feature expands toward lower longitude and higher latitude from the observational peak of the ISN O and Ne gas flow. We call this emission the extended tail. It may be an imprint of the secondary oxygen atoms generated by charge exchange between ISN hydrogen atoms and oxygen ions in the outer heliosheath.

  3. Measures of trajectory ensemble disparity in nonequilibrium statistical dynamics

    SciTech Connect

    Crooks, Gavin; Sivak, David

    2011-06-03

    Many interesting divergence measures between conjugate ensembles of nonequilibrium trajectories can be experimentally determined from the work distribution of the process. Herein, we review the statistical and physical significance of several of these measures, in particular the relative entropy (dissipation), Jeffreys divergence (hysteresis), Jensen-Shannon divergence (time-asymmetry), Chernoff divergence (work cumulant generating function), and Renyi divergence.

  4. Financial statistics of major publicly owned electric utilities, 1991

    SciTech Connect

    Not Available

    1993-03-31

    The Financial Statistics of Major Publicly Owned Electric Utilities publication presents summary and detailed financial accounting data on the publicly owned electric utilities. The objective of the publication is to provide Federal and State governments, industry, and the general public with data that can be used for policymaking and decisionmaking purposes relating to publicly owned electric utility issues.

  5. Statistical scaling of geometric characteristics in stochastically generated pore microstructures

    SciTech Connect

    Hyman, Jeffrey D.; Guadagnini, Alberto; Winter, C. Larrabee

    2015-05-21

    In this study, we analyze the statistical scaling of structural attributes of virtual porous microstructures that are stochastically generated by thresholding Gaussian random fields. Characterization of the extent at which randomly generated pore spaces can be considered as representative of a particular rock sample depends on the metrics employed to compare the virtual sample against its physical counterpart. Typically, comparisons against features and/patterns of geometric observables, e.g., porosity and specific surface area, flow-related macroscopic parameters, e.g., permeability, or autocorrelation functions are used to assess the representativeness of a virtual sample, and thereby the quality of the generation method. Here, we rely on manifestations of statistical scaling of geometric observables which were recently observed in real millimeter scale rock samples [13] as additional relevant metrics by which to characterize a virtual sample. We explore the statistical scaling of two geometric observables, namely porosity (?) and specific surface area (SSA), of porous microstructures generated using the method of Smolarkiewicz and Winter [42] and Hyman and Winter [22]. Our results suggest that the method can produce virtual pore space samples displaying the symptoms of statistical scaling observed in real rock samples. Order q sample structure functions (statistical moments of absolute increments) of ? and SSA scale as a power of the separation distance (lag) over a range of lags, and extended self-similarity (linear relationship between log structure functions of successive orders) appears to be an intrinsic property of the generated media. The width of the range of lags where power-law scaling is observed and the Hurst coefficient associated with the variables we consider can be controlled by the generation parameters of the method.

  6. Feature-Based Statistical Analysis of Combustion Simulation Data

    SciTech Connect

    Bennett, J; Krishnamoorthy, V; Liu, S; Grout, R; Hawkes, E; Chen, J; Pascucci, V; Bremer, P T

    2011-11-18

    We present a new framework for feature-based statistical analysis of large-scale scientific data and demonstrate its effectiveness by analyzing features from Direct Numerical Simulations (DNS) of turbulent combustion. Turbulent flows are ubiquitous and account for transport and mixing processes in combustion, astrophysics, fusion, and climate modeling among other disciplines. They are also characterized by coherent structure or organized motion, i.e. nonlocal entities whose geometrical features can directly impact molecular mixing and reactive processes. While traditional multi-point statistics provide correlative information, they lack nonlocal structural information, and hence, fail to provide mechanistic causality information between organized fluid motion and mixing and reactive processes. Hence, it is of great interest to capture and track flow features and their statistics together with their correlation with relevant scalar quantities, e.g. temperature or species concentrations. In our approach we encode the set of all possible flow features by pre-computing merge trees augmented with attributes, such as statistical moments of various scalar fields, e.g. temperature, as well as length-scales computed via spectral analysis. The computation is performed in an efficient streaming manner in a pre-processing step and results in a collection of meta-data that is orders of magnitude smaller than the original simulation data. This meta-data is sufficient to support a fully flexible and interactive analysis of the features, allowing for arbitrary thresholds, providing per-feature statistics, and creating various global diagnostics such as Cumulative Density Functions (CDFs), histograms, or time-series. We combine the analysis with a rendering of the features in a linked-view browser that enables scientists to interactively explore, visualize, and analyze the equivalent of one terabyte of simulation data. We highlight the utility of this new framework for combustion

  7. Statistical scaling of geometric characteristics in stochastically generated pore microstructures

    DOE PAGES [OSTI]

    Hyman, Jeffrey D.; Guadagnini, Alberto; Winter, C. Larrabee

    2015-05-21

    In this study, we analyze the statistical scaling of structural attributes of virtual porous microstructures that are stochastically generated by thresholding Gaussian random fields. Characterization of the extent at which randomly generated pore spaces can be considered as representative of a particular rock sample depends on the metrics employed to compare the virtual sample against its physical counterpart. Typically, comparisons against features and/patterns of geometric observables, e.g., porosity and specific surface area, flow-related macroscopic parameters, e.g., permeability, or autocorrelation functions are used to assess the representativeness of a virtual sample, and thereby the quality of the generation method. Here, wemore » rely on manifestations of statistical scaling of geometric observables which were recently observed in real millimeter scale rock samples [13] as additional relevant metrics by which to characterize a virtual sample. We explore the statistical scaling of two geometric observables, namely porosity (Φ) and specific surface area (SSA), of porous microstructures generated using the method of Smolarkiewicz and Winter [42] and Hyman and Winter [22]. Our results suggest that the method can produce virtual pore space samples displaying the symptoms of statistical scaling observed in real rock samples. Order q sample structure functions (statistical moments of absolute increments) of Φ and SSA scale as a power of the separation distance (lag) over a range of lags, and extended self-similarity (linear relationship between log structure functions of successive orders) appears to be an intrinsic property of the generated media. The width of the range of lags where power-law scaling is observed and the Hurst coefficient associated with the variables we consider can be controlled by the generation parameters of the method.« less

  8. Statistical scaling of geometric characteristics in stochastically generated pore microstructures

    SciTech Connect

    Hyman, Jeffrey D.; Guadagnini, Alberto; Winter, C. Larrabee

    2015-05-21

    In this study, we analyze the statistical scaling of structural attributes of virtual porous microstructures that are stochastically generated by thresholding Gaussian random fields. Characterization of the extent at which randomly generated pore spaces can be considered as representative of a particular rock sample depends on the metrics employed to compare the virtual sample against its physical counterpart. Typically, comparisons against features and/patterns of geometric observables, e.g., porosity and specific surface area, flow-related macroscopic parameters, e.g., permeability, or autocorrelation functions are used to assess the representativeness of a virtual sample, and thereby the quality of the generation method. Here, we rely on manifestations of statistical scaling of geometric observables which were recently observed in real millimeter scale rock samples [13] as additional relevant metrics by which to characterize a virtual sample. We explore the statistical scaling of two geometric observables, namely porosity (Φ) and specific surface area (SSA), of porous microstructures generated using the method of Smolarkiewicz and Winter [42] and Hyman and Winter [22]. Our results suggest that the method can produce virtual pore space samples displaying the symptoms of statistical scaling observed in real rock samples. Order q sample structure functions (statistical moments of absolute increments) of Φ and SSA scale as a power of the separation distance (lag) over a range of lags, and extended self-similarity (linear relationship between log structure functions of successive orders) appears to be an intrinsic property of the generated media. The width of the range of lags where power-law scaling is observed and the Hurst coefficient associated with the variables we consider can be controlled by the generation parameters of the method.

  9. Numerical reconstruction of photon-number statistics from photocounting statistics: Regularization of an ill-posed problem

    SciTech Connect

    Starkov, V. N.; Semenov, A. A.; Gomonay, H. V.

    2009-07-15

    We demonstrate a practical possibility of loss compensation in measured photocounting statistics in the presence of dark counts and background radiation noise. It is shown that satisfactory results are obtained even in the case of low detection efficiency and large experimental errors.

  10. Summary Statistics for Homemade ?Play Dough? -- Data Acquired at LLNL

    SciTech Connect

    Kallman, J S; Morales, K E; Whipple, R E; Huber, R D; Martz, A; Brown, W D; Smith, J A; Schneberk, D J; Martz, Jr., H E; White, III, W T

    2010-03-11

    Using x-ray computerized tomography (CT), we have characterized the x-ray linear attenuation coefficients (LAC) of a homemade Play Dough{trademark}-like material, designated as PDA. Table 1 gives the first-order statistics for each of four CT measurements, estimated with a Gaussian kernel density estimator (KDE) analysis. The mean values of the LAC range from a high of about 2700 LMHU{sub D} 100kVp to a low of about 1200 LMHUD at 300kVp. The standard deviation of each measurement is around 10% to 15% of the mean. The entropy covers the range from 6.0 to 7.4. Ordinarily, we would model the LAC of the material and compare the modeled values to the measured values. In this case, however, we did not have the detailed chemical composition of the material and therefore did not model the LAC. Using a method recently proposed by Lawrence Livermore National Laboratory (LLNL), we estimate the value of the effective atomic number, Z{sub eff}, to be near 10. LLNL prepared about 50mL of the homemade 'Play Dough' in a polypropylene vial and firmly compressed it immediately prior to the x-ray measurements. We used the computer program IMGREC to reconstruct the CT images. The values of the key parameters used in the data capture and image reconstruction are given in this report. Additional details may be found in the experimental SOP and a separate document. To characterize the statistical distribution of LAC values in each CT image, we first isolated an 80% central-core segment of volume elements ('voxels') lying completely within the specimen, away from the walls of the polypropylene vial. All of the voxels within this central core, including those comprised of voids and inclusions, are included in the statistics. We then calculated the mean value, standard deviation and entropy for (a) the four image segments and for (b) their digital gradient images. (A digital gradient image of a given image was obtained by taking the absolute value of the difference between the initial image

  11. Summary Statistics for Fun Dough Data Acquired at LLNL

    SciTech Connect

    Kallman, J S; Morales, K E; Whipple, R E; Huber, R D; Brown, W D; Smith, J A; Schneberk, D J; Martz, Jr., H E; White, III, W T

    2010-03-11

    Using x-ray computerized tomography (CT), we have characterized the x-ray linear attenuation coefficients (LAC) of a Play Dough{trademark}-like product, Fun Dough{trademark}, designated as PD. Table 1 gives the first-order statistics for each of four CT measurements, estimated with a Gaussian kernel density estimator (KDE) analysis. The mean values of the LAC range from a high of about 2100 LMHU{sub D} at 100kVp to a low of about 1100 LMHU{sub D} at 300kVp. The standard deviation of each measurement is around 1% of the mean. The entropy covers the range from 3.9 to 4.6. Ordinarily, we would model the LAC of the material and compare the modeled values to the measured values. In this case, however, we did not have the composition of the material and therefore did not model the LAC. Using a method recently proposed by Lawrence Livermore National Laboratory (LLNL), we estimate the value of the effective atomic number, Z{sub eff}, to be near 8.5. LLNL prepared about 50mL of the Fun Dough{trademark} in a polypropylene vial and firmly compressed it immediately prior to the x-ray measurements. Still, layers can plainly be seen in the reconstructed images, indicating that the bulk density of the material in the container is affected by voids and bubbles. We used the computer program IMGREC to reconstruct the CT images. The values of the key parameters used in the data capture and image reconstruction are given in this report. Additional details may be found in the experimental SOP and a separate document. To characterize the statistical distribution of LAC values in each CT image, we first isolated an 80% central-core segment of volume elements ('voxels') lying completely within the specimen, away from the walls of the polypropylene vial. All of the voxels within this central core, including those comprised of voids and inclusions, are included in the statistics. We then calculated the mean value, standard deviation and entropy for (a) the four image segments and for (b

  12. User Statistics Collection Practices | U.S. DOE Office of Science...

    Office of Science (SC)

    Office of Science User Facilities User Statistics Collection Practices, FY 2015 .pdf file (296KB) Prior year statements of user statistics collection practices In November, 2014, ...

  13. Monthly/Annual Energy Review - renewable section

    Reports and Publications

    2015-01-01

    Monthly and latest annual statistics on renewable energy production and consumption and overviews of fuel ethanol and biodiesel.

  14. Complex statistics and diffusion in nonlinear disordered particle chains

    SciTech Connect

    Antonopoulos, Ch. G.; Bountis, T.; Skokos, Ch.; Drossos, L.

    2014-06-15

    We investigate dynamically and statistically diffusive motion in a Klein-Gordon particle chain in the presence of disorder. In particular, we examine a low energy (subdiffusive) and a higher energy (self-trapping) case and verify that subdiffusive spreading is always observed. We then carry out a statistical analysis of the motion, in both cases, in the sense of the Central Limit Theorem and present evidence of different chaos behaviors, for various groups of particles. Integrating the equations of motion for times as long as 10{sup 9}, our probability distribution functions always tend to Gaussians and show that the dynamics does not relax onto a quasi-periodic Kolmogorov-Arnold-Moser torus and that diffusion continues to spread chaotically for arbitrarily long times.

  15. Doppler Lidar Vertical Velocity Statistics Value-Added Product

    SciTech Connect

    Newsom, R. K.; Sivaraman, C.; Shippert, T. R.; Riihimaki, L. D.

    2015-07-01

    Accurate height-resolved measurements of higher-order statistical moments of vertical velocity fluctuations are crucial for improved understanding of turbulent mixing and diffusion, convective initiation, and cloud life cycles. The Atmospheric Radiation Measurement (ARM) Climate Research Facility operates coherent Doppler lidar systems at several sites around the globe. These instruments provide measurements of clear-air vertical velocity profiles in the lower troposphere with a nominal temporal resolution of 1 sec and height resolution of 30 m. The purpose of the Doppler lidar vertical velocity statistics (DLWSTATS) value-added product (VAP) is to produce height- and time-resolved estimates of vertical velocity variance, skewness, and kurtosis from these raw measurements. The VAP also produces estimates of cloud properties, including cloud-base height (CBH), cloud frequency, cloud-base vertical velocity, and cloud-base updraft fraction.

  16. A Flexible Approach for the Statistical Visualization of Ensemble Data

    SciTech Connect

    Potter, K.; Wilson, A.; Bremer, P.; Williams, Dean N.; Pascucci, V.; Johnson, C.

    2009-09-29

    Scientists are increasingly moving towards ensemble data sets to explore relationships present in dynamic systems. Ensemble data sets combine spatio-temporal simulation results generated using multiple numerical models, sampled input conditions and perturbed parameters. While ensemble data sets are a powerful tool for mitigating uncertainty, they pose significant visualization and analysis challenges due to their complexity. We present a collection of overview and statistical displays linked through a high level of interactivity to provide a framework for gaining key scientific insight into the distribution of the simulation results as well as the uncertainty associated with the data. In contrast to methods that present large amounts of diverse information in a single display, we argue that combining multiple linked statistical displays yields a clearer presentation of the data and facilitates a greater level of visual data analysis. We demonstrate this approach using driving problems from climate modeling and meteorology and discuss generalizations to other fields.

  17. Statistical physics of networks, information and complex systems

    SciTech Connect

    Ecke, Robert E

    2009-01-01

    In this project we explore the mathematical methods and concepts of statistical physics that are fmding abundant applications across the scientific and technological spectrum from soft condensed matter systems and bio-infonnatics to economic and social systems. Our approach exploits the considerable similarity of concepts between statistical physics and computer science, allowing for a powerful multi-disciplinary approach that draws its strength from cross-fertilization and mUltiple interactions of researchers with different backgrounds. The work on this project takes advantage of the newly appreciated connection between computer science and statistics and addresses important problems in data storage, decoding, optimization, the infonnation processing properties of the brain, the interface between quantum and classical infonnation science, the verification of large software programs, modeling of complex systems including disease epidemiology, resource distribution issues, and the nature of highly fluctuating complex systems. Common themes that the project has been emphasizing are (i) neural computation, (ii) network theory and its applications, and (iii) a statistical physics approach to infonnation theory. The project's efforts focus on the general problem of optimization and variational techniques, algorithm development and infonnation theoretic approaches to quantum systems. These efforts are responsible for fruitful collaborations and the nucleation of science efforts that span multiple divisions such as EES, CCS, 0 , T, ISR and P. This project supports the DOE mission in Energy Security and Nuclear Non-Proliferation by developing novel infonnation science tools for communication, sensing, and interacting complex networks such as the internet or energy distribution system. The work also supports programs in Threat Reduction and Homeland Security.

  18. Highway statistics, 1985. 40th anniversary edition, 1945-1985

    SciTech Connect

    Not Available

    1986-01-01

    The publication, the 41st of an annual series, presents the 1985 analyzed statistics of general interest on motor fuel, motor vehicles, driver licensing, highway-user taxation, State highway finance, highway mileage, and Federal aid for highways; and 1984 highway finance data for municipalities, counties, townships, and other units of local government. A listing of the data is given in the table of contents, and a brief description is given in the text accompanying each section.

  19. Financial statistics of selected investor-owned electric utilities, 1989

    SciTech Connect

    Not Available

    1991-01-01

    The Financial Statistics of Selected Investor-Owned Electric Utilities publication presents summary and detailed financial accounting data on the investor-owned electric utilities. The objective of the publication is to provide the Federal and State governments, industry, and the general public with current and historical data that can be used for policymaking and decisionmaking purposes related to investor-owned electric utility issues.

  20. Lifetime statistics of quantum chaos studied by a multiscale analysis

    SciTech Connect

    Di Falco, A.; Krauss, T. F. [School of Physics and Astronomy, University of St. Andrews, North Haugh, St. Andrews, KY16 9SS (United Kingdom); Fratalocchi, A. [PRIMALIGHT, Faculty of Electrical Engineering, Applied Mathematics and Computational Science, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900 (Saudi Arabia)

    2012-04-30

    In a series of pump and probe experiments, we study the lifetime statistics of a quantum chaotic resonator when the number of open channels is greater than one. Our design embeds a stadium billiard into a two dimensional photonic crystal realized on a silicon-on-insulator substrate. We calculate resonances through a multiscale procedure that combines energy landscape analysis and wavelet transforms. Experimental data is found to follow the universal predictions arising from random matrix theory with an excellent level of agreement.

  1. U.S. Department of Commerce Economics and Statistics Administration

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

    Commerce Economics and Statistics Administration 48% 24% 52% 76% 0% 20% 40% 60% 80% 100% All jobs STEM jobs Men Women By David Beede, Tiffany Julian, David Langdon, George McKittrick, Beethika Khan, and Mark Doms, Office of the Chief Economist Women in STEM: A Gender Gap to Innovation August 2011 Executive Summary ESA Issue Brief #04-11 O ur science, technology, engineering and math (STEM) workforce is crucial to America's innovative capacity and global competitiveness. Yet women are vastly

  2. Spatial statistics for predicting flow through a rock fracture

    SciTech Connect

    Coakley, K.J.

    1989-03-01

    Fluid flow through a single rock fracture depends on the shape of the space between the upper and lower pieces of rock which define the fracture. In this thesis, the normalized flow through a fracture, i.e. the equivalent permeability of a fracture, is predicted in terms of spatial statistics computed from the arrangement of voids, i.e. open spaces, and contact areas within the fracture. Patterns of voids and contact areas, with complexity typical of experimental data, are simulated by clipping a correlated Gaussian process defined on a N by N pixel square region. The voids have constant aperture; the distance between the upper and lower surfaces which define the fracture is either zero or a constant. Local flow is assumed to be proportional to local aperture cubed times local pressure gradient. The flow through a pattern of voids and contact areas is solved using a finite-difference method. After solving for the flow through simulated 10 by 10 by 30 pixel patterns of voids and contact areas, a model to predict equivalent permeability is developed. The first model is for patterns with 80% voids where all voids have the same aperture. The equivalent permeability of a pattern is predicted in terms of spatial statistics computed from the arrangement of voids and contact areas within the pattern. Four spatial statistics are examined. The change point statistic measures how often adjacent pixel alternate from void to contact area (or vice versa ) in the rows of the patterns which are parallel to the overall flow direction. 37 refs., 66 figs., 41 tabs.

  3. Electron transfer statistics and thermal fluctuations in molecular junctions

    SciTech Connect

    Goswami, Himangshu Prabal; Harbola, Upendra

    2015-02-28

    We derive analytical expressions for probability distribution function (PDF) for electron transport in a simple model of quantum junction in presence of thermal fluctuations. Our approach is based on the large deviation theory combined with the generating function method. For large number of electrons transferred, the PDF is found to decay exponentially in the tails with different rates due to applied bias. This asymmetry in the PDF is related to the fluctuation theorem. Statistics of fluctuations are analyzed in terms of the Fano factor. Thermal fluctuations play a quantitative role in determining the statistics of electron transfer; they tend to suppress the average current while enhancing the fluctuations in particle transfer. This gives rise to both bunching and antibunching phenomena as determined by the Fano factor. The thermal fluctuations and shot noise compete with each other and determine the net (effective) statistics of particle transfer. Exact analytical expression is obtained for delay time distribution. The optimal values of the delay time between successive electron transfers can be lowered below the corresponding shot noise values by tuning the thermal effects.

  4. Spectral statistics in noninteracting many-particle systems

    SciTech Connect

    Munoz, L.; Relano, A.; Retamosa, J. [Departamento de Fisica Atomica, Molecular y Nuclear, Universidad Complutense de Madrid, E-28040 Madrid (Spain); Faleiro, E. [Departamento de Fisica Aplicada, E.U.I.T. Industrial, Universidad Politecnica de Madrid, E-28012 Madrid (Spain); Molina, R.A. [Max-Planck-Institut fuer Physik Komplexer Systeme, Noethnitzer Strasse 38, D-01187 Dresden (Germany)

    2006-03-15

    It is widely accepted that the statistical properties of energy level spectra provide an essential characterization of quantum chaos. Indeed, the spectral fluctuations of many different systems like quantum billiards, atoms, or atomic nuclei have been studied. However, noninteracting many-body systems have received little attention, since it is assumed that they must exhibit Poisson-like fluctuations. Apart from a heuristic argument of Bloch, there are neither systematic numerical calculations nor a rigorous derivation of this fact. Here we present a rigorous study of the spectral fluctuations of noninteracting identical particles moving freely in a mean field emphasizing the evolution with the number of particles N as well as with the energy. Our results are conclusive. For N{>=}2 the spectra of these systems exhibit Poisson fluctuations provided that we consider sufficiently high excitation energies. Nevertheless, when the mean field is chaotic there exists a critical energy scale L{sub c}; beyond this scale, the fluctuations deviate from the Poisson statistics as a reminiscence of the statistical properties of the mean field.

  5. Validation of Innovative Exploration Technologies for Newberry Volcano: Drilling Summary (depths, dates, drilling statistics) 2012

    SciTech Connect

    Todd Jaffe

    2012-01-01

    Validation of Innovative Exploration Technologies for Newberry Volcano: Drilling Summary (depths, dates, drilling statistics) 2012

  6. Advances on statistical/thermodynamical models for unpolarized structure functions

    SciTech Connect

    Trevisan, Luis A.; Mirez, Carlos; Tomio, Lauro

    2013-03-25

    During the eights and nineties many statistical/thermodynamical models were proposed to describe the nucleons' structure functions and distribution of the quarks in the hadrons. Most of these models describe the compound quarks and gluons inside the nucleon as a Fermi / Bose gas respectively, confined in a MIT bag with continuous energy levels. Another models considers discrete spectrum. Some interesting features of the nucleons are obtained by these models, like the sea asymmetries {sup -}d/{sup -}u and {sup -}d-{sup -}u.

  7. Statistical Software for spatial analysis of stratigraphic data sets

    Energy Science and Technology Software Center

    2003-04-08

    Stratistics s a tool for statistical analysis of spatially explicit data sets and model output for description and for model-data comparisons. lt is intended for the analysis of data sets commonly used in geology, such as gamma ray logs and lithologic sequences, as well as 2-D data such as maps. Stratistics incorporates a far wider range of spatial analysis methods drawn from multiple disciplines, than are currently available in other packages. These include incorporation ofmore » techniques from spatial and landscape ecology, fractal analysis, and mathematical geology. Its use should substantially reduce the risk associated with the use of predictive models« less

  8. Statistical anisotropy of the curvature perturbation from vector field perturbations

    SciTech Connect

    Dimopoulos, Konstantinos; Karciauskas, Mindaugas; Lyth, David H.; Rodriguez, Yeinzon E-mail: m.karciauskas@lancaster.ac.uk E-mail: yeinzon.rodriguez@uan.edu.co

    2009-05-15

    The {delta}N formula for the primordial curvature perturbation {zeta} is extended to include vector as well as scalar fields. Formulas for the tree-level contributions to the spectrum and bispectrum of {zeta} are given, exhibiting statistical anisotropy. The one-loop contribution to the spectrum of {zeta} is also worked out. We then consider the generation of vector field perturbations from the vacuum, including the longitudinal component that will be present if there is no gauge invariance. Finally, the {delta}N formula is applied to the vector curvaton and vector inflation models with the tensor perturbation also evaluated in the latter case.

  9. Quantum Statistical Testing of a Quantum Random Number Generator

    SciTech Connect

    Humble, Travis S

    2014-01-01

    The unobservable elements in a quantum technology, e.g., the quantum state, complicate system verification against promised behavior. Using model-based system engineering, we present methods for verifying the opera- tion of a prototypical quantum random number generator. We begin with the algorithmic design of the QRNG followed by the synthesis of its physical design requirements. We next discuss how quantum statistical testing can be used to verify device behavior as well as detect device bias. We conclude by highlighting how system design and verification methods must influence effort to certify future quantum technologies.

  10. Poincar recurrence statistics as an indicator of chaos synchronization

    SciTech Connect

    Boev, Yaroslav I. Vadivasova, Tatiana E. Anishchenko, Vadim S.

    2014-06-15

    The dynamics of the autonomous and non-autonomous Rssler system is studied using the Poincar recurrence time statistics. It is shown that the probability distribution density of Poincar recurrences represents a set of equidistant peaks with the distance that is equal to the oscillation period and the envelope obeys an exponential distribution. The dimension of the spatially uniform Rssler attractor is estimated using Poincar recurrence times. The mean Poincar recurrence time in the non-autonomous Rssler system is locked by the external frequency, and this enables us to detect the effect of phase-frequency synchronization.

  11. Anomalous diffusion and Tsallis statistics in an optical lattice

    SciTech Connect

    Lutz, Eric

    2003-05-01

    We point out a connection between anomalous transport in an optical lattice and Tsallis' generalized statistics. Specifically, we show that the momentum equation for the semiclassical Wigner function which describes atomic motion in the optical potential, belongs to a class of transport equations recently studied by Borland [Phys. Lett. A 245, 67 (1998)]. The important property of these ordinary linear Fokker-Planck equations is that their stationary solutions are exactly given by Tsallis distributions. An analytical expression of the Tsallis index q in terms of the microscopic parameters of the quantum-optical problem is given and the spatial coherence of the atomic wave packets is discussed.

  12. Multiple-comparison computer program using the bonferroni t statistic

    SciTech Connect

    Johnson, E. E.

    1980-11-13

    To ascertain the agreement among laboratories, samples from a single batch of material are analyzed by the different laboratories and results are then compared. A graphical format was designed for presenting the results and for showing which laboratories have significantly different results. The appropriate statistic for simultaneously testing the significance of the differences between several means is Bonferroni t. A computer program was written to make the tests between means based on Bonferroni t and also to make multiple comparisons of the standard deviations associated with the means. The program plots the results and indicates means and standard deviations which are significantly different.

  13. About the statistical description of gas-liquid flows

    SciTech Connect

    Sanz, D.; Guido-Lavalle, G.; Carrica, P.

    1995-09-01

    Elements of the probabilistic geometry are used to derive the bubble coalescence term of the statistical description of gas liquid flows. It is shown that the Boltzmann`s hypothesis, that leads to the kinetic theory of dilute gases, is not appropriate for this kind of flows. The resulting integro-differential transport equation is numerically integrated to study the flow development in slender bubble columns. The solution remarkably predicts the transition from bubbly to slug flow pattern. Moreover, a bubbly bimodal size distribution is predicted, which has already been observed experimentally.

  14. Financial statistics of major US publicly owned electric utilities 1993

    SciTech Connect

    Not Available

    1995-02-01

    The 1993 edition of the Financial Statistics of Major U.S. Publicly Owned Electric Utilities publication presents five years (1989 to 1993) of summary financial data and current year detailed financial data on the major publicly owned electric utilities. The objective of the publication is to provide Federal and State governments, industry, and the general public with current and historical data that can be used for policymaking and decision making purposes related to publicly owned electric utility issues. Generator and nongenerator summaries are presented in this publication. The primary source of publicly owned financial data is the Form EIA-412, the Annual Report of Public Electric Utilities, filed on a fiscal basis.

  15. Multi-scale statistical analysis of coronal solar activity

    DOE PAGES [OSTI]

    Gamborino, Diana; del-Castillo-Negrete, Diego; Martinell, Julio J.

    2016-07-08

    Multi-filter images from the solar corona are used to obtain temperature maps that are analyzed using techniques based on proper orthogonal decomposition (POD) in order to extract dynamical and structural information at various scales. Exploring active regions before and after a solar flare and comparing them with quiet regions, we show that the multi-scale behavior presents distinct statistical properties for each case that can be used to characterize the level of activity in a region. Information about the nature of heat transport is also to be extracted from the analysis.

  16. Statistical thermodynamics of strain hardening in polycrystalline solids

    DOE PAGES [OSTI]

    Langer, James S.

    2015-01-01

    This paper starts with a systematic rederivation of the statistical thermodynamic equations of motion for dislocation-mediated plasticity proposed in 2010 by Langer, Bouchbinder, and Lookman. The paper then uses that theory to explain the anomalous rate-hardening behavior reported in 1988 by Follansbee and Kocks and to explore the relation between hardening rate and grain size reported in 1995 by Meyers et al. A central theme is the need for physics-based, nonequilibrium analyses in developing predictive theories of the strength of polycrystalline materials.

  17. Statistics at work in heavy-ion reactions

    SciTech Connect

    Moretto, L.G.

    1982-07-01

    In the first part special aspects of the compound nucleus decay are considered. The evaporation of particles intermediate between nucleons and fission fragments is explored both theoretically and experimentally. The limitations of the fission decay width expression obtained with the transition state method are discussed, and a more general approach is proposed. In the second part the process of angular momentum transfer in deep inelastic reactions is considered. The limit of statistical equilibrium is studied and specifically applied to the estimation of the degree of alignment of the fragment spins. The magnitude and alignment of the transferred angular momentum is experimentally determined from sequentially emitted alpha, gamma, and fission fragments.

  18. FRAMES Software System: Linking to the Statistical Package R

    SciTech Connect

    Castleton, Karl J.; Whelan, Gene; Hoopes, Bonnie L.

    2006-12-11

    This document provides requirements, design, data-file specifications, test plan, and Quality Assurance/Quality Control protocol for the linkage between the statistical package R and the Framework for Risk Analysis in Multimedia Environmental Systems (FRAMES) Versions 1.x and 2.0. The requirements identify the attributes of the system. The design describes how the system will be structured to meet those requirements. The specification presents the specific modifications to FRAMES to meet the requirements and design. The test plan confirms that the basic functionality listed in the requirements (black box testing) actually functions as designed, and QA/QC confirms that the software meets the client’s needs.

  19. Statistical Inference for Big Data Problems in Molecular Biophysics

    SciTech Connect

    Ramanathan, Arvind; Savol, Andrej; Burger, Virginia; Quinn, Shannon; Agarwal, Pratul K; Chennubhotla, Chakra

    2012-01-01

    We highlight the role of statistical inference techniques in providing biological insights from analyzing long time-scale molecular simulation data. Technologi- cal and algorithmic improvements in computation have brought molecular simu- lations to the forefront of techniques applied to investigating the basis of living systems. While these longer simulations, increasingly complex reaching petabyte scales presently, promise a detailed view into microscopic behavior, teasing out the important information has now become a true challenge on its own. Mining this data for important patterns is critical to automating therapeutic intervention discovery, improving protein design, and fundamentally understanding the mech- anistic basis of cellular homeostasis.

  20. Statistical Methods Handbook for Advanced Gas Reactor Fuel Materials

    SciTech Connect

    J. J. Einerson

    2005-05-01

    Fuel materials such as kernels, coated particles, and compacts are being manufactured for experiments simulating service in the next generation of high temperature gas reactors. These must meet predefined acceptance specifications. Many tests are performed for quality assurance, and many of these correspond to criteria that must be met with specified confidence, based on random samples. This report describes the statistical methods to be used. The properties of the tests are discussed, including the risk of false acceptance, the risk of false rejection, and the assumption of normality. Methods for calculating sample sizes are also described.

  1. Statistical methods of spin assignment in compound nuclear reactions

    SciTech Connect

    Mach, H.; Johns, M.W.

    1985-01-15

    Spin assignment to nuclear levels can be obtained from standard in-beam gamma-ray spectroscopy techniques and in the case of compound nuclear reactions can be complemented by statistical methods. These are based on a correlation pattern between level spin and gamma-ray intensities feeding low-lying levels. Three types of intensity and level spin correlations are found suitable for spin assignment: shapes of the excitation functions, ratio of intensity at two beam energies or populated in two different reactions, and feeding distributions. Various empirical attempts are examined and the range of applicability of these methods as well as the limitations associated with them are given.

  2. The Fall Meeting of the Committee on Energy Statistics

    Energy Information Administration (EIA) (indexed site)

    * * * * * FRIDAY NOVEMBER 5, 1999 The Fall Meeting of the Committee on Energy Statistics commenced at 8:30 a.m. at the Department of Energy, 1000 Independence Avenue, S.W., Room 8E089, Washington, D.C., Daniel Relles, presiding. PRESENT: DANIEL RELLES, Chairman JAY BREIDT LYNDA CARLSON THOMAS COWING CAROL GOTWAY CRAWFORD JAY HAKES JAMES HAMMITT PHILIP HANSER CALVIN KENT W. DAVID MONTGOMERY LARRY PETTIS SEYMOUR SUDMAN BILL WEINIG ROY WHITMORE C O N T E N T S PAGE Opening 5 Addressing Accuracy in

  3. EIA - Advice from Meetings of the ASA Committee on Energy Statistics

    Energy Information Administration (EIA) (indexed site)

    Advice from Meetings of the ASA Committee on Energy Statistics Transcripts and Summaries from the American Statistical Association Committee on Energy Statistics The U.S. Energy Information Administration seeks technical advice semi-annually from the American Statistical Association Committee on Energy Statistics. The meetings are held in the spring and fall in Washington, D.C., and are announced in the Federal Register. These meetings are open to the public and are typically held on Thursday

  4. User Statistics Collection Practices Archives | U.S. DOE Office of Science

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

    (SC) Policies and Processes » User Statistics Collection Practices » User Statistics Collection Practices Archives User Facilities User Facilities Home User Facilities at a Glance User Resources User Statistics Policies and Processes Definition Designation Process Official List of SC User Facilities User Statistics Collection Practices User Statistics Collection Practices Archives Frequently Asked Questions User Facility Science Highlights User Facility News Contact Information Office of

  5. Statistics of anisotropies in inflation with spectator vector fields

    SciTech Connect

    Thorsrud, Mikjel; Mota, David F.; Urban, Federico R. E-mail: furban@ulb.ac.be

    2014-04-01

    We study the statistics of the primordial power spectrum in models where massless gauge vectors are coupled to the inflaton, paying special attention to observational implications of having fundamental or effective horizons embedded in a bath of infrared fluctuations. As quantum infrared modes cross the horizon, they classicalize and build a background vector field. We find that the vector experiences a statistical precession phenomenon. Implications for primordial correlators and the interpretation thereof are considered. Firstly, we show how in general two, not only one, additional observables, a quadrupole amplitude and an intrinsic shape parameter, are necessary to fully describe the correction to the curvature power spectrum, and develop a unique parametrization for them. Secondly, we show that the observed anisotropic amplitude and the associated preferred direction depend on the volume of the patch being probed. We calculate non-zero priors for the expected deviations between detections based on microwave background data (which probes the entire Hubble patch) and large scale structure (which only probes a fraction of it)

  6. View discovery in OLAP databases through statistical combinatorial optimization

    SciTech Connect

    Hengartner, Nick W; Burke, John; Critchlow, Terence; Joslyn, Cliff; Hogan, Emilie

    2009-01-01

    OnLine Analytical Processing (OLAP) is a relational database technology providing users with rapid access to summary, aggregated views of a single large database, and is widely recognized for knowledge representation and discovery in high-dimensional relational databases. OLAP technologies provide intuitive and graphical access to the massively complex set of possible summary views available in large relational (SQL) structured data repositories. The capability of OLAP database software systems to handle data complexity comes at a high price for analysts, presenting them a combinatorially vast space of views of a relational database. We respond to the need to deploy technologies sufficient to allow users to guide themselves to areas of local structure by casting the space of 'views' of an OLAP database as a combinatorial object of all projections and subsets, and 'view discovery' as an search process over that lattice. We equip the view lattice with statistical information theoretical measures sufficient to support a combinatorial optimization process. We outline 'hop-chaining' as a particular view discovery algorithm over this object, wherein users are guided across a permutation of the dimensions by searching for successive two-dimensional views, pushing seen dimensions into an increasingly large background filter in a 'spiraling' search process. We illustrate this work in the context of data cubes recording summary statistics for radiation portal monitors at US ports.

  7. Correlating sampling and intensity statistics in nanoparticle diffraction experiments

    DOE PAGES [OSTI]

    Öztürk, Hande; Yan, Hanfei; Hill, John P.; Noyan, I. Cevdet

    2015-07-28

    It is shown in a previous article [Öztürk, Yan, Hill & Noyan (2014).J. Appl. Cryst.47, 1016–1025] that the sampling statistics of diffracting particle populations within a polycrystalline ensemble depended on the size of the constituent crystallites: broad X-ray peak breadths enabled some nano-sized particles to contribute more than one diffraction spot to Debye–Scherrer rings. Here it is shown that the equations proposed by Alexander, Klug & Kummer [J. Appl. Phys.(1948),19, 742–753] (AKK) to link diffracting particle and diffracted intensity statistics are not applicable if the constituent crystallites of the powder are below 10 nm. In this size range, (i) themore » one-to-one correspondence between diffracting particles and Laue spots assumed in the AKK analysis is not satisfied, and (ii) the crystallographic correlation between Laue spots originating from the same grain invalidates the assumption that all diffracting plane normals are randomly oriented and uncorrelated. Such correlation produces unexpected results in the selection of diffracting grains. For example, three or more Laue spots from a given grain for a particular reflection can only be observed at certain wavelengths. In addition, correcting the diffracted intensity values by the traditional Lorentz term, 1/cos θ, to compensate for the variation of particles sampled within a reflection band does not maintain fidelity to the number of poles contributing to the diffracted signal. A new term, cos θB/cos θ, corrects this problem.« less

  8. Statistical mentoring at early training and career stages

    DOE PAGES [OSTI]

    Anderson-Cook, Christine M.; Hamada, Michael S.; Moore, Leslie M.; Wendelberger, Joanne R.

    2016-06-27

    At Los Alamos National Laboratory (LANL), statistical scientists develop solutions for a variety of national security challenges through scientific excellence, typically as members of interdisciplinary teams. At LANL, mentoring is actively encouraged and practiced to develop statistical skills and positive career-building behaviors. Mentoring activities targeted at different career phases from student to junior staff are an important catalyst for both short and long term career development. This article discusses mentoring strategies for undergraduate and graduate students through internships as well as for postdoctoral research associates and junior staff. Topics addressed include project selection, progress, and outcome; intellectual and social activitiesmore » that complement the student internship experience; key skills/knowledge not typically obtained in academic training; and the impact of such internships on students’ careers. Experiences and strategies from a number of successful mentorships are presented. Feedback from former mentees obtained via a questionnaire is incorporated. As a result, these responses address some of the benefits the respondents received from mentoring, helpful contributions and advice from their mentors, key skills learned, and how mentoring impacted their later careers.« less

  9. Statistical optimisation techniques in fatigue signal editing problem

    SciTech Connect

    Nopiah, Z. M.; Osman, M. H.; Baharin, N.; Abdullah, S.

    2015-02-03

    Success in fatigue signal editing is determined by the level of length reduction without compromising statistical constraints. A great reduction rate can be achieved by removing small amplitude cycles from the recorded signal. The long recorded signal sometimes renders the cycle-to-cycle editing process daunting. This has encouraged researchers to focus on the segment-based approach. This paper discusses joint application of the Running Damage Extraction (RDE) technique and single constrained Genetic Algorithm (GA) in fatigue signal editing optimisation.. In the first section, the RDE technique is used to restructure and summarise the fatigue strain. This technique combines the overlapping window and fatigue strain-life models. It is designed to identify and isolate the fatigue events that exist in the variable amplitude strain data into different segments whereby the retention of statistical parameters and the vibration energy are considered. In the second section, the fatigue data editing problem is formulated as a constrained single optimisation problem that can be solved using GA method. The GA produces the shortest edited fatigue signal by selecting appropriate segments from a pool of labelling segments. Challenges arise due to constraints on the segment selection by deviation level over three signal properties, namely cumulative fatigue damage, root mean square and kurtosis values. Experimental results over several case studies show that the idea of solving fatigue signal editing within a framework of optimisation is effective and automatic, and that the GA is robust for constrained segment selection.

  10. Image segmentation by hierarchial agglomeration of polygons using ecological statistics

    DOEpatents

    Prasad, Lakshman; Swaminarayan, Sriram

    2013-04-23

    A method for rapid hierarchical image segmentation based on perceptually driven contour completion and scene statistics is disclosed. The method begins with an initial fine-scale segmentation of an image, such as obtained by perceptual completion of partial contours into polygonal regions using region-contour correspondences established by Delaunay triangulation of edge pixels as implemented in VISTA. The resulting polygons are analyzed with respect to their size and color/intensity distributions and the structural properties of their boundaries. Statistical estimates of granularity of size, similarity of color, texture, and saliency of intervening boundaries are computed and formulated into logical (Boolean) predicates. The combined satisfiability of these Boolean predicates by a pair of adjacent polygons at a given segmentation level qualifies them for merging into a larger polygon representing a coarser, larger-scale feature of the pixel image and collectively obtains the next level of polygonal segments in a hierarchy of fine-to-coarse segmentations. The iterative application of this process precipitates textured regions as polygons with highly convolved boundaries and helps distinguish them from objects which typically have more regular boundaries. The method yields a multiscale decomposition of an image into constituent features that enjoy a hierarchical relationship with features at finer and coarser scales. This provides a traversable graph structure from which feature content and context in terms of other features can be derived, aiding in automated image understanding tasks. The method disclosed is highly efficient and can be used to decompose and analyze large images.

  11. Lightweight and Statistical Techniques for Petascale PetaScale Debugging

    SciTech Connect

    Miller, Barton

    2014-06-30

    This project investigated novel techniques for debugging scientific applications on petascale architectures. In particular, we developed lightweight tools that narrow the problem space when bugs are encountered. We also developed techniques that either limit the number of tasks and the code regions to which a developer must apply a traditional debugger or that apply statistical techniques to provide direct suggestions of the location and type of error. We extend previous work on the Stack Trace Analysis Tool (STAT), that has already demonstrated scalability to over one hundred thousand MPI tasks. We also extended statistical techniques developed to isolate programming errors in widely used sequential or threaded applications in the Cooperative Bug Isolation (CBI) project to large scale parallel applications. Overall, our research substantially improved productivity on petascale platforms through a tool set for debugging that complements existing commercial tools. Previously, Office Of Science application developers relied either on primitive manual debugging techniques based on printf or they use tools, such as TotalView, that do not scale beyond a few thousand processors. However, bugs often arise at scale and substantial effort and computation cycles are wasted in either reproducing the problem in a smaller run that can be analyzed with the traditional tools or in repeated runs at scale that use the primitive techniques. New techniques that work at scale and automate the process of identifying the root cause of errors were needed. These techniques significantly reduced the time spent debugging petascale applications, thus leading to a greater overall amount of time for application scientists to pursue the scientific objectives for which the systems are purchased. We developed a new paradigm for debugging at scale: techniques that reduced the debugging scenario to a scale suitable for traditional debuggers, e.g., by narrowing the search for the root-cause analysis

  12. Statistical Methods and Tools for Hanford Staged Feed Tank Sampling

    SciTech Connect

    Fountain, Matthew S.; Brigantic, Robert T.; Peterson, Reid A.

    2013-10-01

    This report summarizes work conducted by Pacific Northwest National Laboratory to technically evaluate the current approach to staged feed sampling of high-level waste (HLW) sludge to meet waste acceptance criteria (WAC) for transfer from tank farms to the Hanford Waste Treatment and Immobilization Plant (WTP). The current sampling and analysis approach is detailed in the document titled Initial Data Quality Objectives for WTP Feed Acceptance Criteria, 24590-WTP-RPT-MGT-11-014, Revision 0 (Arakali et al. 2011). The goal of this current work is to evaluate and provide recommendations to support a defensible, technical and statistical basis for the staged feed sampling approach that meets WAC data quality objectives (DQOs).

  13. Statistical analysis of cascading failures in power grids

    SciTech Connect

    Chertkov, Michael; Pfitzner, Rene; Turitsyn, Konstantin

    2010-12-01

    We introduce a new microscopic model of cascading failures in transmission power grids. This model accounts for automatic response of the grid to load fluctuations that take place on the scale of minutes, when optimum power flow adjustments and load shedding controls are unavailable. We describe extreme events, caused by load fluctuations, which cause cascading failures of loads, generators and lines. Our model is quasi-static in the causal, discrete time and sequential resolution of individual failures. The model, in its simplest realization based on the Directed Current description of the power flow problem, is tested on three standard IEEE systems consisting of 30, 39 and 118 buses. Our statistical analysis suggests a straightforward classification of cascading and islanding phases in terms of the ratios between average number of removed loads, generators and links. The analysis also demonstrates sensitivity to variations in line capacities. Future research challenges in modeling and control of cascading outages over real-world power networks are discussed.

  14. Statistical tools for prognostics and health management of complex systems

    SciTech Connect

    Collins, David H; Huzurbazar, Aparna V; Anderson - Cook, Christine M

    2010-01-01

    Prognostics and Health Management (PHM) is increasingly important for understanding and managing today's complex systems. These systems are typically mission- or safety-critical, expensive to replace, and operate in environments where reliability and cost-effectiveness are a priority. We present background on PHM and a suite of applicable statistical tools and methods. Our primary focus is on predicting future states of the system (e.g., the probability of being operational at a future time, or the expected remaining system life) using heterogeneous data from a variety of sources. We discuss component reliability models incorporating physical understanding, condition measurements from sensors, and environmental covariates; system reliability models that allow prediction of system failure time distributions from component failure models; and the use of Bayesian techniques to incorporate expert judgments into component and system models.

  15. Development and testing of improved statistical wind power forecasting methods.

    SciTech Connect

    Mendes, J.; Bessa, R.J.; Keko, H.; Sumaili, J.; Miranda, V.; Ferreira, C.; Gama, J.; Botterud, A.; Zhou, Z.; Wang, J.

    2011-12-06

    Wind power forecasting (WPF) provides important inputs to power system operators and electricity market participants. It is therefore not surprising that WPF has attracted increasing interest within the electric power industry. In this report, we document our research on improving statistical WPF algorithms for point, uncertainty, and ramp forecasting. Below, we provide a brief introduction to the research presented in the following chapters. For a detailed overview of the state-of-the-art in wind power forecasting, we refer to [1]. Our related work on the application of WPF in operational decisions is documented in [2]. Point forecasts of wind power are highly dependent on the training criteria used in the statistical algorithms that are used to convert weather forecasts and observational data to a power forecast. In Chapter 2, we explore the application of information theoretic learning (ITL) as opposed to the classical minimum square error (MSE) criterion for point forecasting. In contrast to the MSE criterion, ITL criteria do not assume a Gaussian distribution of the forecasting errors. We investigate to what extent ITL criteria yield better results. In addition, we analyze time-adaptive training algorithms and how they enable WPF algorithms to cope with non-stationary data and, thus, to adapt to new situations without requiring additional offline training of the model. We test the new point forecasting algorithms on two wind farms located in the U.S. Midwest. Although there have been advancements in deterministic WPF, a single-valued forecast cannot provide information on the dispersion of observations around the predicted value. We argue that it is essential to generate, together with (or as an alternative to) point forecasts, a representation of the wind power uncertainty. Wind power uncertainty representation can take the form of probabilistic forecasts (e.g., probability density function, quantiles), risk indices (e.g., prediction risk index) or scenarios

  16. Structure Learning and Statistical Estimation in Distribution Networks - Part II

    SciTech Connect

    Deka, Deepjyoti; Backhaus, Scott N.; Chertkov, Michael

    2015-02-13

    Limited placement of real-time monitoring devices in the distribution grid, recent trends notwithstanding, has prevented the easy implementation of demand-response and other smart grid applications. Part I of this paper discusses the problem of learning the operational structure of the grid from nodal voltage measurements. In this work (Part II), the learning of the operational radial structure is coupled with the problem of estimating nodal consumption statistics and inferring the line parameters in the grid. Based on a Linear-Coupled(LC) approximation of AC power flows equations, polynomial time algorithms are designed to identify the structure and estimate nodal load characteristics and/or line parameters in the grid using the available nodal voltage measurements. Then the structure learning algorithm is extended to cases with missing data, where available observations are limited to a fraction of the grid nodes. The efficacy of the presented algorithms are demonstrated through simulations on several distribution test cases.

  17. Statistical measures of Planck scale signal correlations in interferometers

    SciTech Connect

    Hogan, Craig J.; Kwon, Ohkyung

    2015-06-22

    A model-independent statistical framework is presented to interpret data from systems where the mean time derivative of positional cross correlation between world lines, a measure of spreading in a quantum geometrical wave function, is measured with a precision smaller than the Planck time. The framework provides a general way to constrain possible departures from perfect independence of classical world lines, associated with Planck scale bounds on positional information. A parametrized candidate set of possible correlation functions is shown to be consistent with the known causal structure of the classical geometry measured by an apparatus, and the holographic scaling of information suggested by gravity. Frequency-domain power spectra are derived that can be compared with interferometer data. As a result, simple projections of sensitivity for specific experimental set-ups suggests that measurements will directly yield constraints on a universal time derivative of the correlation function, and thereby confirm or rule out a class of Planck scale departures from classical geometry.

  18. Role of quantum statistics in multi-particle decay dynamics

    SciTech Connect

    Marchewka, Avi; Granot, Er’el

    2015-04-15

    The role of quantum statistics in the decay dynamics of a multi-particle state, which is suddenly released from a confining potential, is investigated. For an initially confined double particle state, the exact dynamics is presented for both bosons and fermions. The time-evolution of the probability to measure two-particle is evaluated and some counterintuitive features are discussed. For instance, it is shown that although there is a higher chance of finding the two bosons (as oppose to fermions, and even distinguishable particles) at the initial trap region, there is a higher chance (higher than fermions) of finding them on two opposite sides of the trap as if the repulsion between bosons is higher than the repulsion between fermions. The results are demonstrated by numerical simulations and are calculated analytically in the short-time approximation. Furthermore, experimental validation is suggested.

  19. Statistical Stability and Time-Reversal Imgaing in Random Media

    SciTech Connect

    Berryman, J; Borcea, L; Papanicolaou, G; Tsogka, C

    2002-02-05

    Localization of targets imbedded in a heterogeneous background medium is a common problem in seismic, ultrasonic, and electromagnetic imaging problems. The best imaging techniques make direct use of the eigenfunctions and eigenvalues of the array response matrix, as recent work on time-reversal acoustics has shown. Of the various imaging functionals studied, one that is representative of a preferred class is a time-domain generalization of MUSIC (MUltiple Signal Classification), which is a well-known linear subspace method normally applied only in the frequency domain. Since statistical stability is not characteristic of the frequency domain, a transform back to the time domain after first diagonalizing the array data in the frequency domain takes optimum advantage of both the time-domain stability and the frequency-domain orthogonality of the relevant eigenfunctions.

  20. n-dimensional Statistical Inverse Graphical Hydraulic Test Simulator

    Energy Science and Technology Software Center

    2012-09-12

    nSIGHTS (n-dimensional Statistical Inverse Graphical Hydraulic Test Simulator) is a comprehensive well test analysis software package. It provides a user-interface, a well test analysis model and many tools to analyze both field and simulated data. The well test analysis model simulates a single-phase, one-dimensional, radial/non-radial flow regime, with a borehole at the center of the modeled flow system. nSIGHTS solves the radially symmetric n-dimensional forward flow problem using a solver based on a graph-theoretic approach.more » The results of the forward simulation are pressure, and flow rate, given all the input parameters. The parameter estimation portion of nSIGHTS uses a perturbation-based approach to interpret the best-fit well and reservoir parameters, given an observed dataset of pressure and flow rate.« less

  1. Statistical properties of Charney-Hasegawa-Mima zonal flows

    SciTech Connect

    Anderson, Johan; Botha, G. J. J.

    2015-05-15

    A theoretical interpretation of numerically generated probability density functions (PDFs) of intermittent plasma transport events in unforced zonal flows is provided within the Charney-Hasegawa-Mima (CHM) model. The governing equation is solved numerically with various prescribed density gradients that are designed to produce different configurations of parallel and anti-parallel streams. Long-lasting vortices form whose flow is governed by the zonal streams. It is found that the numerically generated PDFs can be matched with analytical predictions of PDFs based on the instanton method by removing the autocorrelations from the time series. In many instances, the statistics generated by the CHM dynamics relaxes to Gaussian distributions for both the electrostatic and vorticity perturbations, whereas in areas with strong nonlinear interactions it is found that the PDFs are exponentially distributed.

  2. Spatial Statistical Procedures to Validate Input Data in Energy Models

    SciTech Connect

    Johannesson, G.; Stewart, J.; Barr, C.; Brady Sabeff, L.; George, R.; Heimiller, D.; Milbrandt, A.

    2006-01-01

    Energy modeling and analysis often relies on data collected for other purposes such as census counts, atmospheric and air quality observations, economic trends, and other primarily non-energy related uses. Systematic collection of empirical data solely for regional, national, and global energy modeling has not been established as in the abovementioned fields. Empirical and modeled data relevant to energy modeling is reported and available at various spatial and temporal scales that might or might not be those needed and used by the energy modeling community. The incorrect representation of spatial and temporal components of these data sets can result in energy models producing misleading conclusions, especially in cases of newly evolving technologies with spatial and temporal operating characteristics different from the dominant fossil and nuclear technologies that powered the energy economy over the last two hundred years. Increased private and government research and development and public interest in alternative technologies that have a benign effect on the climate and the environment have spurred interest in wind, solar, hydrogen, and other alternative energy sources and energy carriers. Many of these technologies require much finer spatial and temporal detail to determine optimal engineering designs, resource availability, and market potential. This paper presents exploratory and modeling techniques in spatial statistics that can improve the usefulness of empirical and modeled data sets that do not initially meet the spatial and/or temporal requirements of energy models. In particular, we focus on (1) aggregation and disaggregation of spatial data, (2) predicting missing data, and (3) merging spatial data sets. In addition, we introduce relevant statistical software models commonly used in the field for various sizes and types of data sets.

  3. Correlating sampling and intensity statistics in nanoparticle diffraction experiments

    SciTech Connect

    Öztürk, Hande; Yan, Hanfei; Hill, John P.; Noyan, I. Cevdet

    2015-07-28

    It is shown in a previous article [Öztürk, Yan, Hill & Noyan (2014).J. Appl. Cryst.47, 1016–1025] that the sampling statistics of diffracting particle populations within a polycrystalline ensemble depended on the size of the constituent crystallites: broad X-ray peak breadths enabled some nano-sized particles to contribute more than one diffraction spot to Debye–Scherrer rings. Here it is shown that the equations proposed by Alexander, Klug & Kummer [J. Appl. Phys.(1948),19, 742–753] (AKK) to link diffracting particle and diffracted intensity statistics are not applicable if the constituent crystallites of the powder are below 10 nm. In this size range, (i) the one-to-one correspondence between diffracting particles and Laue spots assumed in the AKK analysis is not satisfied, and (ii) the crystallographic correlation between Laue spots originating from the same grain invalidates the assumption that all diffracting plane normals are randomly oriented and uncorrelated. Such correlation produces unexpected results in the selection of diffracting grains. For example, three or more Laue spots from a given grain for a particular reflection can only be observed at certain wavelengths. In addition, correcting the diffracted intensity values by the traditional Lorentz term, 1/cos θ, to compensate for the variation of particles sampled within a reflection band does not maintain fidelity to the number of poles contributing to the diffracted signal. A new term, cos θB/cos θ, corrects this problem.

  4. Predicting weak lensing statistics from halo mass reconstructions - Final Paper

    SciTech Connect

    Everett, Spencer

    2015-08-20

    As dark matter does not absorb or emit light, its distribution in the universe must be inferred through indirect effects such as the gravitational lensing of distant galaxies. While most sources are only weakly lensed, the systematic alignment of background galaxies around a foreground lens can constrain the mass of the lens which is largely in the form of dark matter. In this paper, I have implemented a framework to reconstruct all of the mass along lines of sight using a best-case dark matter halo model in which the halo mass is known. This framework is then used to make predictions of the weak lensing of 3,240 generated source galaxies through a 324 arcmin² field of the Millennium Simulation. The lensed source ellipticities are characterized by the ellipticity-ellipticity and galaxy-mass correlation functions and compared to the same statistic for the intrinsic and ray-traced ellipticities. In the ellipticity-ellipticity correlation function, I and that the framework systematically under predicts the shear power by an average factor of 2.2 and fails to capture correlation from dark matter structure at scales larger than 1 arcminute. The model predicted galaxy-mass correlation function is in agreement with the ray-traced statistic from scales 0.2 to 0.7 arcminutes, but systematically underpredicts shear power at scales larger than 0.7 arcminutes by an average factor of 1.2. Optimization of the framework code has reduced the mean CPU time per lensing prediction by 70% to 24 ± 5 ms. Physical and computational shortcomings of the framework are discussed, as well as potential improvements for upcoming work.

  5. Statistical line-by-line model for atomic spectra in intermediate...

    Office of Scientific and Technical Information (OSTI)

    Statistical line-by-line model for atomic spectra in intermediate coupling Citation Details In-Document Search Title: Statistical line-by-line model for atomic spectra in ...

  6. THE ABSOLUTE MAGNITUDE OF RRc VARIABLES FROM STATISTICAL PARALLAX

    SciTech Connect

    Kollmeier, Juna A.; Burns, Christopher R.; Thompson, Ian B.; Preston, George W.; Crane, Jeffrey D.; Madore, Barry F.; Morrell, Nidia; Prieto, José L.; Shectman, Stephen; Simon, Joshua D.; Villanueva, Edward; Szczygieł, Dorota M.; Gould, Andrew; Sneden, Christopher; Dong, Subo

    2013-09-20

    We present the first definitive measurement of the absolute magnitude of RR Lyrae c-type variable stars (RRc) determined purely from statistical parallax. We use a sample of 242 RRc variables selected from the All Sky Automated Survey for which high-quality light curves, photometry, and proper motions are available. We obtain high-resolution echelle spectra for these objects to determine radial velocities and abundances as part of the Carnegie RR Lyrae Survey. We find that M{sub V,RRc} = 0.59 ± 0.10 at a mean metallicity of [Fe/H] = –1.59. This is to be compared with previous estimates for RRab stars (M{sub V,RRab} = 0.76 ± 0.12) and the only direct measurement of an RRc absolute magnitude (RZ Cephei, M{sub V,RRc} = 0.27 ± 0.17). We find the bulk velocity of the halo relative to the Sun to be (W{sub π}, W{sub θ}, W{sub z} ) = (12.0, –209.9, 3.0) km s{sup –1} in the radial, rotational, and vertical directions with dispersions (σ{sub W{sub π}},σ{sub W{sub θ}},σ{sub W{sub z}}) = (150.4, 106.1, 96.0) km s{sup -1}. For the disk, we find (W{sub π}, W{sub θ}, W{sub z} ) = (13.0, –42.0, –27.3) km s{sup –1} relative to the Sun with dispersions (σ{sub W{sub π}},σ{sub W{sub θ}},σ{sub W{sub z}}) = (67.7,59.2,54.9) km s{sup -1}. Finally, as a byproduct of our statistical framework, we are able to demonstrate that UCAC2 proper-motion errors are significantly overestimated as verified by UCAC4.

  7. Fundamental Statistical Descriptions of Plasma Turbulence in Magnetic Fields

    SciTech Connect

    John A. Krommes

    2001-02-16

    A pedagogical review of the historical development and current status (as of early 2000) of systematic statistical theories of plasma turbulence is undertaken. Emphasis is on conceptual foundations and methodology, not practical applications. Particular attention is paid to equations and formalism appropriate to strongly magnetized, fully ionized plasmas. Extensive reference to the literature on neutral-fluid turbulence is made, but the unique properties and problems of plasmas are emphasized throughout. Discussions are given of quasilinear theory, weak-turbulence theory, resonance-broadening theory, and the clump algorithm. Those are developed independently, then shown to be special cases of the direct-interaction approximation (DIA), which provides a central focus for the article. Various methods of renormalized perturbation theory are described, then unified with the aid of the generating-functional formalism of Martin, Siggia, and Rose. A general expression for the renormalized dielectric function is deduced and discussed in detail. Modern approaches such as decimation and PDF methods are described. Derivations of DIA-based Markovian closures are discussed. The eddy-damped quasinormal Markovian closure is shown to be nonrealizable in the presence of waves, and a new realizable Markovian closure is presented. The test-field model and a realizable modification thereof are also summarized. Numerical solutions of various closures for some plasma-physics paradigms are reviewed. The variational approach to bounds on transport is developed. Miscellaneous topics include Onsager symmetries for turbulence, the interpretation of entropy balances for both kinetic and fluid descriptions, self-organized criticality, statistical interactions between disparate scales, and the roles of both mean and random shear. Appendices are provided on Fourier transform conventions, dimensional and scaling analysis, the derivations of nonlinear gyrokinetic and gyrofluid equations

  8. Statistical Analysis of Tank 5 Floor Sample Results

    SciTech Connect

    Shine, E. P.

    2013-01-31

    Sampling has been completed for the characterization of the residual material on the floor of Tank 5 in the F-Area Tank Farm at the Savannah River Site (SRS), near Aiken, SC. The sampling was performed by Savannah River Remediation (SRR) LLC using a stratified random sampling plan with volume-proportional compositing. The plan consisted of partitioning the residual material on the floor of Tank 5 into three non-overlapping strata: two strata enclosed accumulations, and a third stratum consisted of a thin layer of material outside the regions of the two accumulations. Each of three composite samples was constructed from five primary sample locations of residual material on the floor of Tank 5. Three of the primary samples were obtained from the stratum containing the thin layer of material, and one primary sample was obtained from each of the two strata containing an accumulation. This report documents the statistical analyses of the analytical results for the composite samples. The objective of the analysis is to determine the mean concentrations and upper 95% confidence (UCL95) bounds for the mean concentrations for a set of analytes in the tank residuals. The statistical procedures employed in the analyses were consistent with the Environmental Protection Agency (EPA) technical guidance by Singh and others [2010]. Savannah River National Laboratory (SRNL) measured the sample bulk density, nonvolatile beta, gross alpha, and the radionuclide1, elemental, and chemical concentrations three times for each of the composite samples. The analyte concentration data were partitioned into three separate groups for further analysis: analytes with every measurement above their minimum detectable concentrations (MDCs), analytes with no measurements above their MDCs, and analytes with a mixture of some measurement results above and below their MDCs. The means, standard deviations, and UCL95s were computed for the analytes in the two groups that had at least some measurements

  9. User Statistics Collection Practices | U.S. DOE Office of Science (SC)

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

    User Statistics Collection Practices User Facilities User Facilities Home User Facilities at a Glance User Resources User Statistics Policies and Processes Definition Designation Process Official List of SC User Facilities User Statistics Collection Practices User Statistics Collection Practices Archives Frequently Asked Questions User Facility Science Highlights User Facility News Contact Information Office of Science U.S. Department of Energy 1000 Independence Ave., SW Washington, DC 20585 P:

  10. Statistical Data Analyses of Trace Chemical, Biochemical, and Physical Analytical Signatures

    SciTech Connect

    Udey, Ruth Norma

    2013-01-01

    Analytical and bioanalytical chemistry measurement results are most meaningful when interpreted using rigorous statistical treatments of the data. The same data set may provide many dimensions of information depending on the questions asked through the applied statistical methods. Three principal projects illustrated the wealth of information gained through the application of statistical data analyses to diverse problems.

  11. Plutonium metal exchange program : current status and statistical analysis

    SciTech Connect

    Tandon, L.; Eglin, J. L.; Michalak, S. E.; Picard, R. R.; Temer, D. J.

    2004-01-01

    The Rocky Flats Plutonium (Pu) Metal Sample Exchange program was conducted to insure the quality and intercomparability of measurements such as Pu assay, Pu isotopics, and impurity analyses. The Rocky Flats program was discontinued in 1989 after more than 30 years. In 2001, Los Alamos National Laboratory (LANL) reestablished the Pu Metal Exchange program. In addition to the Atomic Weapons Establishment (AWE) at Aldermaston, six Department of Energy (DOE) facilities Argonne East, Argonne West, Livermore, Los Alamos, New Brunswick Laboratory, and Savannah River are currently participating in the program. Plutonium metal samples are prepared and distributed to the sites for destructive measurements to determine elemental concentration, isotopic abundance, and both metallic and nonmetallic impurity levels. The program provides independent verification of analytical measurement capabilies for each participating facility and allows problems in analytical methods to be identified. The current status of the program will be discussed with emphasis on the unique statistical analysis and modeling of the data developed for the program. The discussion includes the definition of the consensus values for each analyte (in the presence and absence of anomalous values and/or censored values), and interesting features of the data and the results.

  12. Universal Quake Statistics: From Compressed Nanocrystals to Earthquakes

    DOE PAGES [OSTI]

    Uhl, Jonathan T.; Pathak, Shivesh; Schorlemmer, Danijel; Liu, Xin; Swindeman, Ryan; Brinkman, Braden A. W.; LeBlanc, Michael; Tsekenis, Georgios; Friedman, Nir; Behringer, Robert; et al

    2015-11-17

    Slowly-compressed single crystals, bulk metallic glasses (BMGs), rocks, granular materials, and the earth all deform via intermittent slips or “quakes”. We find that although these systems span 12 decades in length scale, they all show the same scaling behavior for their slip size distributions and other statistical properties. Remarkably, the size distributions follow the same power law multiplied with the same exponential cutoff. The cutoff grows with applied force for materials spanning length scales from nanometers to kilometers. The tuneability of the cutoff with stress reflects “tuned critical” behavior, rather than self-organized criticality (SOC), which would imply stress-independence. A simplemore » mean field model for avalanches of slipping weak spots explains the agreement across scales. It predicts the observed slip-size distributions and the observed stressdependent cutoff function. In conclusion, the results enable extrapolations from one scale to another, and from one force to another, across different materials and structures, from nanocrystals to earthquakes.« less

  13. Statistical language analysis for automatic exfiltration event detection.

    SciTech Connect

    Robinson, David Gerald

    2010-04-01

    This paper discusses the recent development a statistical approach for the automatic identification of anomalous network activity that is characteristic of exfiltration events. This approach is based on the language processing method eferred to as latent dirichlet allocation (LDA). Cyber security experts currently depend heavily on a rule-based framework for initial detection of suspect network events. The application of the rule set typically results in an extensive list of uspect network events that are then further explored manually for suspicious activity. The ability to identify anomalous network events is heavily dependent on the experience of the security personnel wading through the network log. Limitations f this approach are clear: rule-based systems only apply to exfiltration behavior that has previously been observed, and experienced cyber security personnel are rare commodities. Since the new methodology is not a discrete rule-based pproach, it is more difficult for an insider to disguise the exfiltration events. A further benefit is that the methodology provides a risk-based approach that can be implemented in a continuous, dynamic or evolutionary fashion. This permits uspect network activity to be identified early with a quantifiable risk associated with decision making when responding to suspicious activity.

  14. Financial statistics major US publicly owned electric utilities 1996

    SciTech Connect

    1998-03-01

    The 1996 edition of The Financial Statistics of Major US Publicly Owned Electric Utilities publication presents 5 years (1992 through 1996) of summary financial data and current year detailed financial data on the major publicly owned electric utilities. The objective of the publication is to provide Federal and State governments, industry, and the general public with current and historical data that can be used for policymaking and decision making purposes related to publicly owned electric utility issues. Generator and nongenerator summaries are presented in this publication. Five years of summary financial data are provided. Summaries of generators for fiscal years ending June 30 and December 31, nongenerators for fiscal years ending June 30 and December 31, and summaries of all respondents are provided. The composite tables present aggregates of income statement and balance sheet data, as well as financial indicators. Composite tables also display electric operation and maintenance expenses, electric utility plant, number of consumers, sales of electricity, and operating revenue, and electric energy account data. 2 figs., 32 tabs.

  15. A statistical approach to designing mitigation for induced ac voltages

    SciTech Connect

    Dabkowski, J. [Electro Sciences, Inc., Crystal Lake, IL (United States)

    1996-08-01

    Induced voltage levels on buried pipelines collocated with overhead electric power transmission lines are usually mitigated by means of grounding the pipeline. Maximum effectiveness is obtained when grounds are placed at discrete locations along the pipeline where the peak induced voltages occur. The degree of mitigation achieved is dependent upon the local soil resistivity at these locations. On occasion it may be necessary to employ an extensive distributed grounding system, for example, a parallel buried wire connected to the pipe at periodic intervals. In this situation the a priori calculation of mitigated voltage levels is sometimes made assuming an average value for the soil resistivity. Over long distances, however, the soil resistivity generally varies as a log-normally distributed random variable. The effect of this variability upon the predicted mitigated voltage levels is examined. It is found that the predicted levels exhibit a statistical variability which precludes a precise determination of the mitigated voltage levels. Thus, post commissioning testing of the emplaced mitigation system is advisable.

  16. A STATISTICAL STUDY OF TRANSVERSE OSCILLATIONS IN A QUIESCENT PROMINENCE

    SciTech Connect

    Hillier, A.; Morton, R. J.; Erdlyi, R.

    2013-12-20

    The launch of the Hinode satellite has allowed for seeing-free observations at high-resolution and high-cadence making it well suited to study the dynamics of quiescent prominences. In recent years it has become clear that quiescent prominences support small-amplitude transverse oscillations, however, sample sizes are usually too small for general conclusions to be drawn. We remedy this by providing a statistical study of transverse oscillations in vertical prominence threads. Over a 4 hr period of observations it was possible to measure the properties of 3436 waves, finding periods from 50 to 6000s with typical velocity amplitudes ranging between 0.2 and 23km s{sup 1}. The large number of observed waves allows the determination of the frequency dependence of the wave properties and derivation of the velocity power spectrum for the transverse waves. For frequencies less than 7mHz, the frequency dependence of the velocity power is consistent with the velocity power spectra generated from observations of the horizontal motions of magnetic elements in the photosphere, suggesting that the prominence transverse waves are driven by photospheric motions. However, at higher frequencies the two distributions significantly diverge, with relatively more power found at higher frequencies in the prominence oscillations. These results highlight that waves over a large frequency range are ubiquitous in prominences, and that a significant amount of the wave energy is found at higher frequency.

  17. Maxima of two random walks: Universal statistics of lead changes

    DOE PAGES [OSTI]

    Ben-Naim, E.; Krapivsky, P. L.; Randon-Furling, J.

    2016-04-18

    In this study, we investigate statistics of lead changes of the maxima of two discrete-time random walks in one dimension. We show that the average number of lead changes grows asmore » $${\\pi }^{-1}\\mathrm{ln}t$$ in the long-time limit. We present theoretical and numerical evidence that this asymptotic behavior is universal. Specifically, this behavior is independent of the jump distribution: the same asymptotic underlies standard Brownian motion and symmetric Lévy flights. We also show that the probability to have at most n lead changes behaves as $${t}^{-1/4}{(\\mathrm{ln}t)}^{n}$$ for Brownian motion and as $${t}^{-\\beta (\\mu )}{(\\mathrm{ln}t)}^{n}$$ for symmetric Lévy flights with index μ. The decay exponent $$\\beta \\equiv \\beta (\\mu )$$ varies continuously with the Lévy index when $$0\\lt \\mu \\lt 2$$, and remains constant $$\\beta =1/4$$ for $$\\mu \\gt 2$$.« less

  18. Development of a statistically based access delay timeline methodology.

    SciTech Connect

    Rivera, W. Gary; Robinson, David Gerald; Wyss, Gregory Dane; Hendrickson, Stacey M. Langfitt

    2013-02-01

    The charter for adversarial delay is to hinder access to critical resources through the use of physical systems increasing an adversary's task time. The traditional method for characterizing access delay has been a simple model focused on accumulating times required to complete each task with little regard to uncertainty, complexity, or decreased efficiency associated with multiple sequential tasks or stress. The delay associated with any given barrier or path is further discounted to worst-case, and often unrealistic, times based on a high-level adversary, resulting in a highly conservative calculation of total delay. This leads to delay systems that require significant funding and personnel resources in order to defend against the assumed threat, which for many sites and applications becomes cost prohibitive. A new methodology has been developed that considers the uncertainties inherent in the problem to develop a realistic timeline distribution for a given adversary path. This new methodology incorporates advanced Bayesian statistical theory and methodologies, taking into account small sample size, expert judgment, human factors and threat uncertainty. The result is an algorithm that can calculate a probability distribution function of delay times directly related to system risk. Through further analysis, the access delay analyst or end user can use the results in making informed decisions while weighing benefits against risks, ultimately resulting in greater system effectiveness with lower cost.

  19. Signatures of initial state modifications on bispectrum statistics

    SciTech Connect

    Meerburg, P Daniel; Schaar, Jan Pieter van der; Corasaniti, Pier Stefano E-mail: j.p.vanderschaar@uva.nl

    2009-05-15

    Modifications of the initial-state of the inflaton field can induce a departure from Gaussianity and leave a testable imprint on the higher order correlations of the CMB and large scale structures in the Universe. We focus on the bispectrum statistics of the primordial curvature perturbation and its projection on the CMB. For a canonical single-field action the three-point correlator enhancement is localized, maximizing in the collinear limit, corresponding to enfolded or squashed triangles in comoving momentum space. We show that the available local and equilateral template are very insensitive to this localized enhancement and do not generate noteworthy constraints on initial-state modifications. On the other hand, when considering the addition of a dimension 8 higher order derivative term, we find a dominant rapidly oscillating contribution, which had previously been overlooked and whose significantly enhanced amplitude is independent of the triangle under consideration. Nevertheless, the oscillatory nature of (the sign of) the correlation function implies the signal is nearly orthogonal to currently available observational templates, strongly reducing the sensitivity to the enhancement. Constraints on departures from the standard Bunch-Davies vacuum state can be derived, but also depend on the next-to-leading terms. We emphasize that the construction and application of especially adapted templates could lead to CMB bispectrum constraints on modified initial states already competing with those derived from the power spectrum.

  20. Structure Learning and Statistical Estimation in Distribution Networks - Part I

    SciTech Connect

    Deka, Deepjyoti; Backhaus, Scott N.; Chertkov, Michael

    2015-02-13

    Traditionally power distribution networks are either not observable or only partially observable. This complicates development and implementation of new smart grid technologies, such as those related to demand response, outage detection and management, and improved load-monitoring. In this two part paper, inspired by proliferation of the metering technology, we discuss estimation problems in structurally loopy but operationally radial distribution grids from measurements, e.g. voltage data, which are either already available or can be made available with a relatively minor investment. In Part I, the objective is to learn the operational layout of the grid. Part II of this paper presents algorithms that estimate load statistics or line parameters in addition to learning the grid structure. Further, Part II discusses the problem of structure estimation for systems with incomplete measurement sets. Our newly suggested algorithms apply to a wide range of realistic scenarios. The algorithms are also computationally efficient – polynomial in time– which is proven theoretically and illustrated computationally on a number of test cases. The technique developed can be applied to detect line failures in real time as well as to understand the scope of possible adversarial attacks on the grid.

  1. Statistical study of reconnection exhausts in the solar wind

    SciTech Connect

    Enl, J.; P?ech, L.; afrnkov, J.; N?me?ek, Z.

    2014-11-20

    Magnetic reconnection is a fundamental process that changes magnetic field configuration and converts a magnetic energy to flow energy and plasma heating. This paper presents a survey of the plasma and magnetic field parameters inside 418 reconnection exhausts identified in the WIND data from 1995-2012. The statistical analysis is oriented on the re-distribution of the magnetic energy released due to reconnection between a plasma acceleration and its heating. The results show that both the portion of the energy deposited into heat as well as the energy spent on the acceleration of the exhaust plasma rise with the magnetic shear angle in accord with the increase of the magnetic flux available for reconnection. The decrease of the normalized exhaust speed with the increasing magnetic shear suggests a decreasing efficiency of the acceleration and/or the increasing efficiency of heating in high-shear events. However, we have found that the already suggested relation between the exhaust speed and temperature enhancement would be rather considered as an upper limit of the plasma heating during reconnection regardless of the shear angle.

  2. Statistical mechanics of self-driven Carnot cycles

    SciTech Connect

    Smith, E.

    1999-10-01

    The spontaneous generation and finite-amplitude saturation of sound, in a traveling-wave thermoacoustic engine, are derived as properties of a second-order phase transition. It has previously been argued that this dynamical phase transition, called {open_quotes}onset,{close_quotes} has an equivalent equilibrium representation, but the saturation mechanism and scaling were not computed. In this work, the sound modes implementing the engine cycle are coarse-grained and statistically averaged, in a partition function derived from microscopic dynamics on criteria of scale invariance. Self-amplification performed by the engine cycle is introduced through higher-order modal interactions. Stationary points and fluctuations of the resulting phenomenological Lagrangian are analyzed and related to background dynamical currents. The scaling of the stable sound amplitude near the critical point is derived and shown to arise universally from the interaction of finite-temperature disorder, with the order induced by self-amplification. {copyright} {ital 1999} {ital The American Physical Society}

  3. Statistical Performance Evaluation Of Soft Seat Pressure Relief Valves

    SciTech Connect

    Harris, Stephen P.; Gross, Robert E.

    2013-03-26

    Risk-based inspection methods enable estimation of the probability of failure on demand for spring-operated pressure relief valves at the United States Department of Energy's Savannah River Site in Aiken, South Carolina. This paper presents a statistical performance evaluation of soft seat spring operated pressure relief valves. These pressure relief valves are typically smaller and of lower cost than hard seat (metal to metal) pressure relief valves and can provide substantial cost savings in fluid service applications (air, gas, liquid, and steam) providing that probability of failure on demand (the probability that the pressure relief valve fails to perform its intended safety function during a potentially dangerous over pressurization) is at least as good as that for hard seat valves. The research in this paper shows that the proportion of soft seat spring operated pressure relief valves failing is the same or less than that of hard seat valves, and that for failed valves, soft seat valves typically have failure ratios of proof test pressure to set pressure less than that of hard seat valves.

  4. Ensemble Solar Forecasting Statistical Quantification and Sensitivity Analysis: Preprint

    SciTech Connect

    Cheung, WanYin; Zhang, Jie; Florita, Anthony; Hodge, Bri-Mathias; Lu, Siyuan; Hamann, Hendrik F.; Sun, Qian; Lehman, Brad

    2015-12-08

    Uncertainties associated with solar forecasts present challenges to maintain grid reliability, especially at high solar penetrations. This study aims to quantify the errors associated with the day-ahead solar forecast parameters and the theoretical solar power output for a 51-kW solar power plant in a utility area in the state of Vermont, U.S. Forecasts were generated by three numerical weather prediction (NWP) models, including the Rapid Refresh, the High Resolution Rapid Refresh, and the North American Model, and a machine-learning ensemble model. A photovoltaic (PV) performance model was adopted to calculate theoretical solar power generation using the forecast parameters (e.g., irradiance, cell temperature, and wind speed). Errors of the power outputs were quantified using statistical moments and a suite of metrics, such as the normalized root mean squared error (NRMSE). In addition, the PV model's sensitivity to different forecast parameters was quantified and analyzed. Results showed that the ensemble model yielded forecasts in all parameters with the smallest NRMSE. The NRMSE of solar irradiance forecasts of the ensemble NWP model was reduced by 28.10% compared to the best of the three NWP models. Further, the sensitivity analysis indicated that the errors of the forecasted cell temperature attributed only approximately 0.12% to the NRMSE of the power output as opposed to 7.44% from the forecasted solar irradiance.

  5. Ensemble Solar Forecasting Statistical Quantification and Sensitivity Analysis

    SciTech Connect

    Cheung, WanYin; Zhang, Jie; Florita, Anthony; Hodge, Bri-Mathias; Lu, Siyuan; Hamann, Hendrik F.; Sun, Qian; Lehman, Brad

    2015-10-02

    Uncertainties associated with solar forecasts present challenges to maintain grid reliability, especially at high solar penetrations. This study aims to quantify the errors associated with the day-ahead solar forecast parameters and the theoretical solar power output for a 51-kW solar power plant in a utility area in the state of Vermont, U.S. Forecasts were generated by three numerical weather prediction (NWP) models, including the Rapid Refresh, the High Resolution Rapid Refresh, and the North American Model, and a machine-learning ensemble model. A photovoltaic (PV) performance model was adopted to calculate theoretical solar power generation using the forecast parameters (e.g., irradiance, cell temperature, and wind speed). Errors of the power outputs were quantified using statistical moments and a suite of metrics, such as the normalized root mean squared error (NRMSE). In addition, the PV model's sensitivity to different forecast parameters was quantified and analyzed. Results showed that the ensemble model yielded forecasts in all parameters with the smallest NRMSE. The NRMSE of solar irradiance forecasts of the ensemble NWP model was reduced by 28.10% compared to the best of the three NWP models. Further, the sensitivity analysis indicated that the errors of the forecasted cell temperature attributed only approximately 0.12% to the NRMSE of the power output as opposed to 7.44% from the forecasted solar irradiance.

  6. International petroleum statistics report, January 1992. [Contains Glossary

    SciTech Connect

    1992-01-01

    The International Petroleum Statistics Report presents data on international oil production, consumption, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil consumption and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1980, and monthly data for the most two years. Section 2 presents an oil supply/consumption balance for the market economies (i.e., non-communist countries). This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, consumption, and trade in OECD countries. World oil production and OECD consumption data are for the years 1970 through 1990; OECD stocks from 1973 through 1990; and OECD trade from 1982 through 1990.

  7. Statistically qualified neuro-analytic failure detection method and system

    DOEpatents

    Vilim, Richard B.; Garcia, Humberto E.; Chen, Frederick W.

    2002-03-02

    An apparatus and method for monitoring a process involve development and application of a statistically qualified neuro-analytic (SQNA) model to accurately and reliably identify process change. The development of the SQNA model is accomplished in two stages: deterministic model adaption and stochastic model modification of the deterministic model adaptation. Deterministic model adaption involves formulating an analytic model of the process representing known process characteristics, augmenting the analytic model with a neural network that captures unknown process characteristics, and training the resulting neuro-analytic model by adjusting the neural network weights according to a unique scaled equation error minimization technique. Stochastic model modification involves qualifying any remaining uncertainty in the trained neuro-analytic model by formulating a likelihood function, given an error propagation equation, for computing the probability that the neuro-analytic model generates measured process output. Preferably, the developed SQNA model is validated using known sequential probability ratio tests and applied to the process as an on-line monitoring system. Illustrative of the method and apparatus, the method is applied to a peristaltic pump system.

  8. Glueballs and statistical mechanics of the gluon plasma

    SciTech Connect

    Brau, Fabian; Buisseret, Fabien

    2009-06-01

    We study a pure gluon plasma in the context of quasiparticle models, where the plasma is considered as an ideal gas of massive bosons. In order to reproduce SU(3) gauge field lattice data within such a framework, we review briefly the necessity to use a temperature-dependent gluon mass which accounts for color interactions between the gluons near T{sub c} and agrees with perturbative QCD at large temperatures. Consequently, we discuss the thermodynamics of systems with temperature-dependent Hamiltonians and clarify the situation about the possible solutions proposed in the literature to treat those systems consistently. We then focus our attention on two possible formulations which are thermodynamically consistent, and we extract the gluon mass from the equation of state obtained in SU(3) lattice QCD. We find that the thermal gluon mass is similar in both statistical formalisms. Finally, an interpretation of the gluon plasma as an ideal gas made of glueballs and gluons is also presented. The glueball mass is consistently computed within a relativistic formalism using a potential obtained from lattice QCD. We find that the gluon plasma might be a glueball-rich medium for T < or approx. 1.13T{sub c} and suggest that glueballs could be detected in future experiments dedicated to quark-gluon plasma.

  9. NEPA litigation 1988-1995: A detailed statistical analysis

    SciTech Connect

    Reinke, D.C.; Robitaille, P.

    1997-08-01

    The intent of this study was to identify trends and lessons learned from litigated NEPA documents and to compare and contrast these trends among Federal agencies. More than 350 NEPA cases were collected, reviewed, and analyzed. Of the NEPA cases reviewed, more than 170 were appeals or Supreme Court cases, mostly from the late 1980s through 1995. For this time period, the sampled documents represent the majority of the appeals court cases and all the Supreme Court cases. Additionally, over 170 district court cases were also examined as a representative sample of district court decisions on NEPA. Cases on agency actions found to need NEPA documentation (but that had no documentation) and cases on NEPA documents that were found to be inadequate were pooled and examined to determine the factors that were responsible for these findings. The inadequate documents were specifically examined to determine if there were any general trends. The results are shown in detailed statistical terms. Generally, when a Federal agency has some type of NEPA documentation (e.g., CX, EA, or EIS) and at least covers the basic NEPA procedural requirements, the agency typically wins the litigation. NEPA documents that lose generally have serious errors of omission. An awareness and understanding of the errors of omission can help Federal agencies to ensure that they produce winner a greater percentage of the time.

  10. Universal Quake Statistics: From Compressed Nanocrystals to Earthquakes

    SciTech Connect

    Uhl, Jonathan T.; Pathak, Shivesh; Schorlemmer, Danijel; Liu, Xin; Swindeman, Ryan; Brinkman, Braden A. W.; LeBlanc, Michael; Tsekenis, Georgios; Friedman, Nir; Behringer, Robert; Denisov, Dmitry; Schall, Peter; Gu, Xiaojun; Wright, Wendelin J.; Hufnagel, Todd; Jennings, Andrew; Greer, Julia R.; Liaw, P. K.; Becker, Thorsten; Dresen, Georg; Dahmen, Karin A.

    2015-11-17

    Slowly-compressed single crystals, bulk metallic glasses (BMGs), rocks, granular materials, and the earth all deform via intermittent slips or “quakes”. We find that although these systems span 12 decades in length scale, they all show the same scaling behavior for their slip size distributions and other statistical properties. Remarkably, the size distributions follow the same power law multiplied with the same exponential cutoff. The cutoff grows with applied force for materials spanning length scales from nanometers to kilometers. The tuneability of the cutoff with stress reflects “tuned critical” behavior, rather than self-organized criticality (SOC), which would imply stress-independence. A simple mean field model for avalanches of slipping weak spots explains the agreement across scales. It predicts the observed slip-size distributions and the observed stressdependent cutoff function. In conclusion, the results enable extrapolations from one scale to another, and from one force to another, across different materials and structures, from nanocrystals to earthquakes.

  11. Statistical properties of super-hot solar flares

    SciTech Connect

    Caspi, Amir; Krucker, Sm; Lin, R. P.

    2014-01-20

    We use Reuven Ramaty High Energy Solar Spectroscopic Imager (RHESSI) high-resolution imaging and spectroscopy observations from ?6 to 100 keV to determine the statistical relationships between measured parameters (temperature, emission measure, etc.) of hot, thermal plasma in 37 intense (GOES M- and X-class) solar flares. The RHESSI data, most sensitive to the hottest flare plasmas, reveal a strong correlation between the maximum achieved temperature and the flare GOES class, such that 'super-hot' temperatures >30 MK are achieved almost exclusively by X-class events; the observed correlation differs significantly from that of GOES-derived temperatures, and from previous studies. A nearly ubiquitous association with high emission measures, electron densities, and instantaneous thermal energies suggests that super-hot plasmas are physically distinct from cooler, ?10-20 MK GOES plasmas, and that they require substantially greater energy input during the flare. High thermal energy densities suggest that super-hot flares require strong coronal magnetic fields, exceeding ?100 G, and that both the plasma ? and volume filling factor f cannot be much less than unity in the super-hot region.

  12. Statistical Characterization of School Bus Drive Cycles Collected via Onboard Logging Systems

    SciTech Connect

    Duran, A.; Walkowicz, K.

    2013-10-01

    In an effort to characterize the dynamics typical of school bus operation, National Renewable Energy Laboratory (NREL) researchers set out to gather in-use duty cycle data from school bus fleets operating across the country. Employing a combination of Isaac Instruments GPS/CAN data loggers in conjunction with existing onboard telemetric systems resulted in the capture of operating information for more than 200 individual vehicles in three geographically unique domestic locations. In total, over 1,500 individual operational route shifts from Washington, New York, and Colorado were collected. Upon completing the collection of in-use field data using either NREL-installed data acquisition devices or existing onboard telemetry systems, large-scale duty-cycle statistical analyses were performed to examine underlying vehicle dynamics trends within the data and to explore vehicle operation variations between fleet locations. Based on the results of these analyses, high, low, and average vehicle dynamics requirements were determined, resulting in the selection of representative standard chassis dynamometer test cycles for each condition. In this paper, the methodology and accompanying results of the large-scale duty-cycle statistical analysis are presented, including graphical and tabular representations of a number of relationships between key duty-cycle metrics observed within the larger data set. In addition to presenting the results of this analysis, conclusions are drawn and presented regarding potential applications of advanced vehicle technology as it relates specifically to school buses.

  13. Statistical Characterization of Medium-Duty Electric Vehicle Drive Cycles: Preprint

    SciTech Connect

    Prohaska, R.; Duran, A.; Ragatz, A.; Kelly, K.

    2015-05-01

    In an effort to help commercialize technologies for electric vehicles (EVs) through deployment and demonstration projects, the U.S. Department of Energy’s (DOE's) American Recovery and Reinvestment Act (ARRA) provided funding to participating U.S. companies to cover part of the cost of purchasing new EVs. Within the medium- and heavy-duty commercial vehicle segment, both Smith Electric Newton and and Navistar eStar vehicles qualified for such funding opportunities. In an effort to evaluate the performance characteristics of the new technologies deployed in these vehicles operating under real world conditions, data from Smith Electric and Navistar medium-duty EVs were collected, compiled, and analyzed by the National Renewable Energy Laboratory's (NREL) Fleet Test and Evaluation team over a period of 3 years. More than 430 Smith Newton EVs have provided data representing more than 150,000 days of operation. Similarly, data have been collected from more than 100 Navistar eStar EVs, resulting in a comparative total of more than 16,000 operating days. Combined, NREL has analyzed more than 6 million kilometers of driving and 4 million hours of charging data collected from commercially operating medium-duty electric vehicles in various configurations. In this paper, extensive duty-cycle statistical analyses are performed to examine and characterize common vehicle dynamics trends and relationships based on in-use field data. The results of these analyses statistically define the vehicle dynamic and kinematic requirements for each vehicle, aiding in the selection of representative chassis dynamometer test cycles and the development of custom drive cycles that emulate daily operation. In this paper, the methodology and accompanying results of the duty-cycle statistical analysis are presented and discussed. Results are presented in both graphical and tabular formats illustrating a number of key relationships between parameters observed within the data set that relate to

  14. Thermal hydraulic limits analysis using statistical propagation of parametric uncertainties

    SciTech Connect

    Chiang, K. Y.; Hu, L. W.; Forget, B.

    2012-07-01

    The MIT Research Reactor (MITR) is evaluating the conversion from highly enriched uranium (HEU) to low enrichment uranium (LEU) fuel. In addition to the fuel element re-design, a reactor power upgraded from 6 MW to 7 MW is proposed in order to maintain the same reactor performance of the HEU core. Previous approach in analyzing the impact of engineering uncertainties on thermal hydraulic limits via the use of engineering hot channel factors (EHCFs) was unable to explicitly quantify the uncertainty and confidence level in reactor parameters. The objective of this study is to develop a methodology for MITR thermal hydraulic limits analysis by statistically combining engineering uncertainties with an aim to eliminate unnecessary conservatism inherent in traditional analyses. This method was employed to analyze the Limiting Safety System Settings (LSSS) for the MITR, which is the avoidance of the onset of nucleate boiling (ONB). Key parameters, such as coolant channel tolerances and heat transfer coefficients, were considered as normal distributions using Oracle Crystal Ball to calculate ONB. The LSSS power is determined with 99.7% confidence level. The LSSS power calculated using this new methodology is 9.1 MW, based on core outlet coolant temperature of 60 deg. C, and primary coolant flow rate of 1800 gpm, compared to 8.3 MW obtained from the analytical method using the EHCFs with same operating conditions. The same methodology was also used to calculate the safety limit (SL) for the MITR, conservatively determined using onset of flow instability (OFI) as the criterion, to verify that adequate safety margin exists between LSSS and SL. The calculated SL is 10.6 MW, which is 1.5 MW higher than LSSS. (authors)

  15. Classification of Malaysia aromatic rice using multivariate statistical analysis

    SciTech Connect

    Abdullah, A. H.; Adom, A. H.; Shakaff, A. Y. Md; Masnan, M. J.; Zakaria, A.; Rahim, N. A.; Omar, O.

    2015-05-15

    Aromatic rice (Oryza sativa L.) is considered as the best quality premium rice. The varieties are preferred by consumers because of its preference criteria such as shape, colour, distinctive aroma and flavour. The price of aromatic rice is higher than ordinary rice due to its special needed growth condition for instance specific climate and soil. Presently, the aromatic rice quality is identified by using its key elements and isotopic variables. The rice can also be classified via Gas Chromatography Mass Spectrometry (GC-MS) or human sensory panels. However, the uses of human sensory panels have significant drawbacks such as lengthy training time, and prone to fatigue as the number of sample increased and inconsistent. The GC–MS analysis techniques on the other hand, require detailed procedures, lengthy analysis and quite costly. This paper presents the application of in-house developed Electronic Nose (e-nose) to classify new aromatic rice varieties. The e-nose is used to classify the variety of aromatic rice based on the samples odour. The samples were taken from the variety of rice. The instrument utilizes multivariate statistical data analysis, including Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA) and K-Nearest Neighbours (KNN) to classify the unknown rice samples. The Leave-One-Out (LOO) validation approach is applied to evaluate the ability of KNN to perform recognition and classification of the unspecified samples. The visual observation of the PCA and LDA plots of the rice proves that the instrument was able to separate the samples into different clusters accordingly. The results of LDA and KNN with low misclassification error support the above findings and we may conclude that the e-nose is successfully applied to the classification of the aromatic rice varieties.

  16. Resistive switching phenomena: A review of statistical physics approaches

    SciTech Connect

    Lee, Jae Sung; Lee, Shinbuhm; Noh, Tae Won

    2015-08-31

    Here we report that resistive switching (RS) phenomena are reversible changes in the metastable resistance state induced by external electric fields. After discovery ~50 years ago, RS phenomena have attracted great attention due to their potential application in next-generation electrical devices. Considerable research has been performed to understand the physical mechanisms of RS and explore the feasibility and limits of such devices. There have also been several reviews on RS that attempt to explain the microscopic origins of how regions that were originally insulators can change into conductors. However, little attention has been paid to the most important factor in determining resistance: how conducting local regions are interconnected. Here, we provide an overview of the underlying physics behind connectivity changes in highly conductive regions under an electric field. We first classify RS phenomena according to their characteristic current–voltage curves: unipolar, bipolar, and threshold switchings. Second, we outline the microscopic origins of RS in oxides, focusing on the roles of oxygen vacancies: the effect of concentration, the mechanisms of channel formation and rupture, and the driving forces of oxygen vacancies. Third, we review RS studies from the perspective of statistical physics to understand connectivity change in RS phenomena. We discuss percolation model approaches and the theory for the scaling behaviors of numerous transport properties observed in RS. Fourth, we review various switching-type conversion phenomena in RS: bipolar-unipolar, memory-threshold, figure-of-eight, and counter-figure-of-eight conversions. Finally, we review several related technological issues, such as improvement in high resistance fluctuations, sneak-path problems, and multilevel switching problems.

  17. Resistive switching phenomena: A review of statistical physics approaches

    DOE PAGES [OSTI]

    Lee, Jae Sung; Lee, Shinbuhm; Noh, Tae Won

    2015-08-31

    Here we report that resistive switching (RS) phenomena are reversible changes in the metastable resistance state induced by external electric fields. After discovery ~50 years ago, RS phenomena have attracted great attention due to their potential application in next-generation electrical devices. Considerable research has been performed to understand the physical mechanisms of RS and explore the feasibility and limits of such devices. There have also been several reviews on RS that attempt to explain the microscopic origins of how regions that were originally insulators can change into conductors. However, little attention has been paid to the most important factor inmore » determining resistance: how conducting local regions are interconnected. Here, we provide an overview of the underlying physics behind connectivity changes in highly conductive regions under an electric field. We first classify RS phenomena according to their characteristic current–voltage curves: unipolar, bipolar, and threshold switchings. Second, we outline the microscopic origins of RS in oxides, focusing on the roles of oxygen vacancies: the effect of concentration, the mechanisms of channel formation and rupture, and the driving forces of oxygen vacancies. Third, we review RS studies from the perspective of statistical physics to understand connectivity change in RS phenomena. We discuss percolation model approaches and the theory for the scaling behaviors of numerous transport properties observed in RS. Fourth, we review various switching-type conversion phenomena in RS: bipolar-unipolar, memory-threshold, figure-of-eight, and counter-figure-of-eight conversions. Finally, we review several related technological issues, such as improvement in high resistance fluctuations, sneak-path problems, and multilevel switching problems.« less

  18. Financial statistics of major US publicly owned electric utilities 1992

    SciTech Connect

    Not Available

    1994-01-01

    The 1992 edition of the Financial Statistics of Major US Publicly Owned Electric Utilities publication presents 4 years (1989 through 1992) of summary financial data and current year detailed financial data on the major publicly owned electric utilities. The objective of the publication is to provide Federal and State governments, industry, and the general public with current and historical data that can be used for policymaking and decisionmaking purposes related to publicly owned electric utility issues. Generator and nongenerator summaries are presented in this publication. Four years of summary financial data are provided. Summaries of generators for fiscal years ending June 30 and December 31, nongenerators for fiscal years ending June 30 and December 31, and summaries of all respondents are provided. The composite tables present aggregates of income statement and balance sheet data, as well as financial indicators. Composite tables also display electric operation and maintenance expenses, electric utility plant, number of consumers, sales of electricity, and operating revenue, and electric energy account data. The primary source of publicly owned financial data is the Form EIA-412, {open_quotes}Annual Report of Public Electric Utilities.{close_quotes} Public electric utilities file this survey on a fiscal year, rather than a calendar year basis, in conformance with their recordkeeping practices. In previous editions of this publication, data were aggregated by the two most commonly reported fiscal years, June 30 and December 31. This omitted approximately 20 percent of the respondents who operate on fiscal years ending in other months. Accordingly, the EIA undertook a review of the Form EIA-412 submissions to determine if alternative classifications of publicly owned electric utilities would permit the inclusion of all respondents.

  19. Investigation of statistical iterative reconstruction for dedicated breast CT

    SciTech Connect

    Makeev, Andrey; Glick, Stephen J.

    2013-08-15

    Purpose: Dedicated breast CT has great potential for improving the detection and diagnosis of breast cancer. Statistical iterative reconstruction (SIR) in dedicated breast CT is a promising alternative to traditional filtered backprojection (FBP). One of the difficulties in using SIR is the presence of free parameters in the algorithm that control the appearance of the resulting image. These parameters require tuning in order to achieve high quality reconstructions. In this study, the authors investigated the penalized maximum likelihood (PML) method with two commonly used types of roughness penalty functions: hyperbolic potential and anisotropic total variation (TV) norm. Reconstructed images were compared with images obtained using standard FBP. Optimal parameters for PML with the hyperbolic prior are reported for the task of detecting microcalcifications embedded in breast tissue.Methods: Computer simulations were used to acquire projections in a half-cone beam geometry. The modeled setup describes a realistic breast CT benchtop system, with an x-ray spectra produced by a point source and an a-Si, CsI:Tl flat-panel detector. A voxelized anthropomorphic breast phantom with 280 ?m microcalcification spheres embedded in it was used to model attenuation properties of the uncompressed woman's breast in a pendant position. The reconstruction of 3D images was performed using the separable paraboloidal surrogates algorithm with ordered subsets. Task performance was assessed with the ideal observer detectability index to determine optimal PML parameters.Results: The authors' findings suggest that there is a preferred range of values of the roughness penalty weight and the edge preservation threshold in the penalized objective function with the hyperbolic potential, which resulted in low noise images with high contrast microcalcifications preserved. In terms of numerical observer detectability index, the PML method with optimal parameters yielded substantially improved

  20. Security of statistical data bases: invasion of privacy through attribute correlational modeling

    SciTech Connect

    Palley, M.A.

    1985-01-01

    This study develops, defines, and applies a statistical technique for the compromise of confidential information in a statistical data base. Attribute Correlational Modeling (ACM) recognizes that the information contained in a statistical data base represents real world statistical phenomena. As such, ACM assumes correlational behavior among the database attributes. ACM proceeds to compromise confidential information through creation of a regression model, where the confidential attribute is treated as the dependent variable. The typical statistical data base may preclude the direct application of regression. In this scenario, the research introduces the notion of a synthetic data base, created through legitimate queries of the actual data base, and through proportional random variation of responses to these queries. The synthetic data base is constructed to resemble the actual data base as closely as possible in a statistical sense. ACM then applies regression analysis to the synthetic data base, and utilizes the derived model to estimate confidential information in the actual database.

  1. Photon-number statistics of twin beams: Self-consistent measurement, reconstruction, and properties

    SciTech Connect

    Pe?ina, Jan Jr.; Haderka, Ond?ej; Michlek, Vclav

    2014-12-04

    A method for the determination of photon-number statistics of twin beams using the joint signal-idler photocount statistics obtained by an iCCD camera is described. It also provides absolute quantum detection efficiency of the camera. Using the measured photocount statistics, quasi-distributions of integrated intensities are obtained. They attain negative values occurring in characteristic strips an a consequence of pairing of photons in twin beams.

  2. Statistical behavior in deterministic quantum systems with few degrees of freedom

    SciTech Connect

    Jensen, R.V.; Shankar, R.

    1985-04-29

    Numerical studies of the dynamics of finite quantum spin chains are presented which show that quantum systems with few degrees of freedom (N = 7) can be described by equilibrium statistical mechanics. The success of the statistical description is seen to depend on the interplay between the initial state, the observable, and the Hamiltonian. This work clarifies the impact of integrability and conservation laws on statistical behavior. The relation to quantum chaos is also discussed.

  3. Renewable

    Office of Scientific and Technical Information (OSTI)

    and Sustainable Energy V v y Jo ur na l Renewable Electronic structural and electroch em ... Duan Citation: J. Renewable Sustainable Energy 3, 013102 (2011); doi: 10.10631.3529427 ...

  4. On the ability of Order Statistics to distinguish different models for continuum gamma decay

    SciTech Connect

    Sandoval, J. J.; Cristancho, F.

    2007-10-26

    A simulation procedure to calculate some important parameters to the application of Order Statistics in the analysis of continuum gamma decay is presented.

  5. High Statistics Study of Nearby Type 1a Supernovae. QUEST Camera...

    Office of Scientific and Technical Information (OSTI)

    QUEST Camera Short Term Maintenance: Final Technical Report Citation Details In-Document Search Title: High Statistics Study of Nearby Type 1a Supernovae. QUEST Camera Short Term ...

  6. High Statistics Study of Nearby Type 1a Supernovae. QUEST Camera...

    Office of Scientific and Technical Information (OSTI)

    Statistics Study of Nearby Type 1a Supernovae. QUEST Camera Short Term Maintenance: Final Technical Report Baltay, Charles 79 ASTRONOMY AND ASTROPHYSICS Study of Type 1a Supernovae...

  7. EIA - Renewable Electricity State Profiles

    Energy Information Administration (EIA) (indexed site)

    Alabama Renewable Electricity Profile 2010 Alabama profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 32,417 100.0 Total Net Summer Renewable Capacity 3,855 11.9 Geothermal - - Hydro Conventional 3,272 10.1 Solar - - Wind - - Wood/Wood Waste 583 1.8 MSW/Landfill

  8. EIA - Renewable Electricity State Profiles

    Energy Information Administration (EIA) (indexed site)

    Alaska Renewable Electricity Profile 2010 Alaska profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 2,067 100.0 Total Net Summer Renewable Capacity 422 20.4 Geothermal - - Hydro Conventional 414 20.1 Solar - - Wind 7 0.4 Wood/Wood Waste - - MSW/Landfill Gas - -

  9. EIA - Renewable Electricity State Profiles

    Energy Information Administration (EIA) (indexed site)

    Arizona Renewable Electricity Profile 2010 Arizona profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 26,392 100.0 Total Net Summer Renewable Capacity 2,901 11.9 Geothermal - - Hydro Conventional 2,720 10.1 Solar 20 - Wind 128 - Wood/Wood Waste 583 1.8

  10. EIA - Renewable Electricity State Profiles

    Energy Information Administration (EIA) (indexed site)

    Connecticut Renewable Electricity Profile 2010 Connecticut profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 8,284 100.0 Total Net Summer Renewable Capacity 281 3.4 Geothermal - - Hydro Conventional 122 1.5 Solar - - Wind - -

  11. EIA - Renewable Electricity State Profiles

    Energy Information Administration (EIA) (indexed site)

    Delaware Renewable Electricity Profile 2010 Delaware profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 3,389 100.0 Total Net Summer Renewable Capacity 10 0.3 Geothermal - - Hydro Conventional - - Solar - - Wind 2 0.1 Wood/Wood

  12. EIA - Renewable Electricity State Profiles

    Energy Information Administration (EIA) (indexed site)

    District of Columbia Renewable Electricity Profile 2010 District of Columbia profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source - Primary Renewable Energy Generation Source - Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 790 100.0 Total Net Summer Renewable Capacity - - Geothermal - - Hydro Conventional - - Solar - - Wind - - Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - -

  13. EIA - Renewable Electricity State Profiles

    Energy Information Administration (EIA) (indexed site)

    Georgia Renewable Electricity Profile 2010 Georgia profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 36,636 100.0 Total Net Summer Renewable Capacity 2,689 7.3 Geothermal - - Hydro Conventional 2,052 5.6 Solar - - Wind - - Wood/Wood Waste 617 1.7 MSW/Landfill Gas

  14. EIA - Renewable Electricity State Profiles

    Energy Information Administration (EIA) (indexed site)

    Kansas Renewable Electricity Profile 2010 Kansas profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 12,543 100.0 Total Net Summer Renewable Capacity 1,082 8.6 Geothermal - - Hydro Conventional 3 * Solar - - Wind 1,072 8.5 Wood/Wood Waste - - MSW/Landfill Gas 7 0.1 Other Biomass - -

  15. EIA - Renewable Electricity State Profiles

    Energy Information Administration (EIA) (indexed site)

    Louisiana Renewable Electricity Profile 2010 Louisiana profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wood/Wood Waste Primary Renewable Energy Generation Source Wood/Wood Waste Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 26,744 100.0 Total Net Summer Renewable Capacity 517 1.9 Geothermal - - Hydro Conventional 192 0.7 Solar - - Wind - - Wood/Wood Waste 311 1.2 MSW/Landfill Gas - -

  16. EIA - Renewable Electricity State Profiles

    Energy Information Administration (EIA) (indexed site)

    Maryland Renewable Electricity Profile 2010 Maryland profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 12,516 100.0 Total Net Summer Renewable Capacity 799 6.4 Geothermal - - Hydro Conventional 590 4.7 Solar 1 * Wind 70 0.6 Wood/Wood Waste 3 * MSW/Landfill Gas

  17. EIA - Renewable Electricity State Profiles

    Energy Information Administration (EIA) (indexed site)

    Massachusetts Renewable Electricity Profile 2010 Massachusetts profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 13,697 100.0 Total Net Summer Renewable Capacity 566 4.1 Geothermal - - Hydro Conventional 262 1.9 Solar 4 * Wind 10 0.1 Wood/Wood

  18. EIA - Renewable Electricity State Profiles

    Energy Information Administration (EIA) (indexed site)

    Mississippi Renewable Electricity Profile 2010 Mississippi profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wood/Wood Waste Primary Renewable Energy Generation Source Wood/Wood Waste Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 15,691 100.0 Total Net Summer Renewable Capacity 235 1.5 Geothermal - - Hydro Conventional - - Solar - - Wind - - Wood/Wood Waste 235 1.5 MSW/Landfill Gas - -

  19. EIA - Renewable Electricity State Profiles

    Energy Information Administration (EIA) (indexed site)

    Missouri Renewable Electricity Profile 2010 Missouri profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 21,739 100.0 Total Net Summer Renewable Capacity 1,030 4.7 Geothermal - - Hydro Conventional 564 2.6 Solar - - Wind 459 2.1 Wood/Wood Waste - - MSW/Landfill Gas

  20. EIA - Renewable Electricity State Profiles

    Energy Information Administration (EIA) (indexed site)

    Montana Renewable Electricity Profile 2010 Montana profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 5,866 100.0 Total Net Summer Renewable Capacity 3,085 52.6 Geothermal - - Hydro Conventional 2,705 46.1 Solar - - Wind 379 6.5 Wood/Wood Waste - - MSW/Landfill