National Library of Energy BETA

Sample records for gross square foot

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

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

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

  2. grossWCI.dvi

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

    Nuclear multifragmentation, Its relation to general physics A rich test-ground of the fundamentals of statistical mechanics. D.H.E. Gross 1 Hahn-Meitner Institute Glienickerstr. 100 14109 Berlin, Germany gross@hmi.de; http://www.hmi.de/people/gross/ 2 Freie Universit¨ at Berlin, Fachbereich Physik. Received: date / Revised version: date Abstract. Heat can flow from cold to hot at any phase separation, even in macroscopic systems. Therefore also Lynden-Bell's famous gravo-thermal catastrophe [1]

  3. Samantha Gross | Department of Energy

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

    Samantha Gross About Us Samantha Gross - Director, Office of International Climate and Clean Energy Samantha Gross Samantha Gross is the Director for International Climate and Clean Energy at the Office of International Affairs in the U.S. Department of Energy. She directs U.S. activities under the Clean Energy Ministerial, including the secretariat and initiatives focusing on clean energy implementation and access and energy efficiency. Her office also supports the Assistant Secretary and

  4. Jackson Square | Y-12 National Security Complex

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

    Jackson Square Jackson Square Construction of Jackson Square Shopping Center.

  5. Michael Gross | Photosynthetic Antenna Research Center

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

    Michael Gross Michael Gross Michael Gross Principal Investigator E-mail: mgross@wustl.edu Phone: (314) 935-4814 Website: Washington University in St. Louis Principal Investigator Dr. Gross's research interests include analytical chemistry, biological chemistry, biophysical chemistry, FT-ICR instrument development, MALDI matrix development, mass spectrometry for protein biochemistry and biophysics, modified DNA and cancer, physical organic chemistry, protein and peptide analysis, and proteomics.

  6. Brad Foote Gear Works | Open Energy Information

    Open Energy Info (EERE)

    Brad Foote Gear Works Jump to: navigation, search Name: Brad Foote Gear Works Place: Cicero, Illinois Zip: 60804-1404 Sector: Wind energy Product: Gearing systems manufacturer...

  7. David J. Gross and the Strong Force

    Office of Scientific and Technical Information (OSTI)

    published their proposal simultaneously with H. David Politzer, a graduate student at Harvard University who independently came up with the same idea. ... The discovery of Gross,...

  8. ,"Texas Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  9. ,"Kansas Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  10. ,"Pennsylvania Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  11. ,"Kentucky Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  12. ,"Oregon Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Oregon Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301979" ,"Release...

  13. ,"Virginia Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Virginia Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  14. ,"Missouri Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Missouri Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  15. ,"Illinois Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  16. ,"Florida Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  17. ,"Utah Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  18. ,"Indiana Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Indiana Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  19. ,"Nevada Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Nevada Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301991" ,"Release...

  20. ,"Montana Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  1. ,"Ohio Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  2. ,"California Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  3. ,"Mississippi Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  4. ,"Nebraska Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Nebraska Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  5. ,"Michigan Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  6. ,"Tennessee Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Tennessee Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  7. ,"Oklahoma Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  8. ,"Wyoming Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  9. ,"Maryland Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Maryland Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  10. ,"Louisiana Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  11. ,"Colorado Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  12. David J. Gross and the Strong Force

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

    David J. Gross and the Strong Force Resources with Additional Information The 2004 Nobel Prize in Physics was awarded to David Gross for "the discovery of asymptotic freedom in the theory of the strong interaction". 'Gross, who obtained his PhD in physics in 1966, currently is a professor of physics and director of the Kavli Institute for Theoretical Physics at UC Santa Barbara. ... David Gross Courtesy of UC Santa Barbara [When on the faculty at Princeton University,] he and

  13. SmallFoot LLC | Open Energy Information

    Open Energy Info (EERE)

    SmallFoot LLC Place: Boulder, Colorado Product: Colorado-based developer of wireless demand control devices for the small commercial market. References: SmallFoot LLC1 This...

  14. Solar Energy Squared, LLC | Open Energy Information

    Open Energy Info (EERE)

    Squared, LLC Jump to: navigation, search Logo: Solar Energy Squared, LLC Name: Solar Energy Squared, LLC Address: 116 Ottenheimer Plaza, President Clinton Avenue Place: Little...

  15. Quantification of the Potential Gross Economic Impacts of Five...

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

    Quantification of the Potential Gross Economic Impacts of Five Methane Reduction Scenarios Quantification of the Potential Gross Economic Impacts of Five Methane Reduction ...

  16. Property:DailyOpWaterUseGross | Open Energy Information

    Open Energy Info (EERE)

    Property Name DailyOpWaterUseGross Property Type Number Description Daily Operation Water Use (afday) Gross. Retrieved from "http:en.openei.orgwindex.php?titleProperty:...

  17. Fact #564: March 30, 2009 Transportation and the Gross Domestic...

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

    4: March 30, 2009 Transportation and the Gross Domestic Product, 2007 Fact 564: March 30, 2009 Transportation and the Gross Domestic Product, 2007 Transportation plays a major ...

  18. ,"West Virginia Natural Gas Gross Withdrawals (MMcf)"

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

    ,,"(202) 586-8800",,,"01042016 7:36:01 AM" "Back to Contents","Data 1: West Virginia Natural Gas Gross Withdrawals (MMcf)" "Sourcekey","N9010WV2" "Date","West...

  19. ,"New Mexico Natural Gas Gross Withdrawals (MMcf)"

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

    ,,"(202) 586-8800",,,"1292016 12:20:48 AM" "Back to Contents","Data 1: New Mexico Natural Gas Gross Withdrawals (MMcf)" "Sourcekey","N9010NM2" "Date","New Mexico...

  20. ,"Alaska Natural Gas Gross Withdrawals and Production"

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

    ,,"(202) 586-8800",,,"01042016 7:35:06 AM" "Back to Contents","Data 1: Alaska Natural Gas Gross Withdrawals and Production" "Sourcekey","N9010AK2","N9011AK2","N9012AK2"...

  1. ,"Alaska Natural Gas Gross Withdrawals and Production"

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

    ,,"(202) 586-8800",,,"01042016 7:35:07 AM" "Back to Contents","Data 1: Alaska Natural Gas Gross Withdrawals and Production" "Sourcekey","N9010AK2","N9011AK2","N9012AK2"...

  2. ,"New York Natural Gas Gross Withdrawals (MMcf)"

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

    ,,"(202) 586-8800",,,"12152015 12:10:48 PM" "Back to Contents","Data 1: New York Natural Gas Gross Withdrawals (MMcf)" "Sourcekey","N9010NY2" "Date","New York...

  3. Weigh-in-motion scale with foot alignment features

    DOE Patents [OSTI]

    Abercrombie, Robert Knox; Richardson, Gregory David; Scudiere, Matthew Bligh

    2013-03-05

    A pad is disclosed for use in a weighing system for weighing a load. The pad includes a weighing platform, load cells, and foot members. Improvements to the pad reduce or substantially eliminate rotation of one or more of the corner foot members. A flexible foot strap disposed between the corner foot members reduces rotation of the respective foot members about vertical axes through the corner foot members and couples the corner foot members such that rotation of one corner foot member results in substantially the same amount of rotation of the other corner foot member. In a strapless variant one or more fasteners prevents substantially all rotation of a foot member. In a diagonal variant, a foot strap extends between a corner foot member and the weighing platform to reduce rotation of the foot member about a vertical axis through the corner foot member.

  4. Table 10.6 Solar Thermal Collector Shipments by Type, Price, and Trade, 1974-2009 (Thousand Square Feet, Except as Noted)

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

    Solar Thermal Collector Shipments by Type, Price, and Trade, 1974-2009 (Thousand Square Feet, Except as Noted) Year Low-Temperature Collectors 1 Medium-Temperature Collectors 2 High-Temperature Collectors 3 Total Shipments Trade Number of U.S. Manu- facturers Quantity Shipped Shipments per Manu- facturer Price 4 (dollars 5 per square foot) Number of U.S. Manu- facturers Quantity Shipped Shipments per Manu- facturer Price 4 (dollars 5 per square foot) Quantity Shipped Price 4 (dollars 5 per

  5. Montana Natural Gas Gross Withdrawals (Million Cubic Feet per...

    Gasoline and Diesel Fuel Update (EIA)

    Gross Withdrawals (Million Cubic Feet per Day) Montana Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 317 313...

  6. California Natural Gas Gross Withdrawals (Million Cubic Feet...

    Gasoline and Diesel Fuel Update (EIA)

    Gross Withdrawals (Million Cubic Feet per Day) California Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 998...

  7. Virginia Natural Gas Gross Withdrawals (Million Cubic Feet per...

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

    Gross Withdrawals (Million Cubic Feet per Day) Virginia Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 271 275...

  8. Federal Offshore--Gulf of Mexico Natural Gas Gross Withdrawals...

    Gasoline and Diesel Fuel Update (EIA)

    Federal Offshore--Gulf of Mexico Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Federal Offshore--Gulf of Mexico Natural Gas Gross Withdrawals (Million Cubic Feet per...

  9. Arizona Natural Gas Gross Withdrawals (Million Cubic Feet per...

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

    Arizona Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Arizona Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct...

  10. New Mexico Natural Gas Gross Withdrawals (Million Cubic Feet...

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

    Gross Withdrawals (Million Cubic Feet per Day) New Mexico Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 4,406...

  11. Texas--onshore Natural Gas Gross Withdrawals (Million Cubic Feet...

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

    Gross Withdrawals (Million Cubic Feet) Texas--onshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  12. Kansas Natural Gas Gross Withdrawals (Million Cubic Feet per...

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

    Gross Withdrawals (Million Cubic Feet per Day) Kansas Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 1,049...

  13. West Virginia Natural Gas Gross Withdrawals (Million Cubic Feet...

    Gasoline and Diesel Fuel Update (EIA)

    Gross Withdrawals (Million Cubic Feet per Day) West Virginia Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006...

  14. New York Natural Gas Gross Withdrawals (Million Cubic Feet per...

    Gasoline and Diesel Fuel Update (EIA)

    Gross Withdrawals (Million Cubic Feet per Day) New York Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 149 147...

  15. Settlement of footing on compacted ash bed

    SciTech Connect (OSTI)

    Ramasamy, G.; Pusadkar, S.S.

    2007-11-15

    Compacted coal ash fills exhibit capillary stress due to contact moisture and preconsolidation stress due to the compaction process. As such, the conventional methods of estimating settlement of footing on cohesionless soils based on penetration tests become inapplicable in the case of footings on coal ash fills, although coal ash is also a cohesionless material. Therefore, a method of estimating load-settlement behavior of footings resting on coal ash fills accounting for the effect of capillary and preconsolidation stresses is presented here. The proposed method has been validated by conducting plate load tests on laboratory prepared compacted ash beds and comparing the observed and predicted load-settlement behavior. Overestimation of settlement greater than 100% occurs when capillary and preconsolidation stresses are not accounted for, as is the case in conventional methods.

  16. ,"Federal Offshore Gulf of Mexico Natural Gas Gross Withdrawals...

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

    Gulf of Mexico Natural Gas Gross Withdrawals and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest...

  17. ,"New Mexico Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  18. ,"New Mexico Natural Gas Gross Withdrawals from Oil Wells (MMcf...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Gross Withdrawals from Oil Wells (MMcf)",1,"Annual",2014 ,"Release...

  19. ,"New Mexico Natural Gas Gross Withdrawals from Gas Wells (MMcf...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Gross Withdrawals from Gas Wells (MMcf)",1,"Annual",2014 ,"Release...

  20. ,"Texas Natural Gas Gross Withdrawals Total Offshore (MMcf)"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Gross Withdrawals Total Offshore (MMcf)",1,"Annual",2014 ,"Release...

  1. ,"Alabama--State Offshore Natural Gas Gross Withdrawals (MMcf...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Alabama--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","129...

  2. ,"Louisiana--State Offshore Natural Gas Gross Withdrawals (MMcf...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","129...

  3. ,"Texas--State Offshore Natural Gas Gross Withdrawals (MMcf)...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","129...

  4. ,"Alaska--State Offshore Natural Gas Gross Withdrawals (MMcf...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Alaska--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","129...

  5. ,"US--State Offshore Natural Gas Gross Withdrawals (MMcf)"

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

    State Offshore Natural Gas Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

  6. ,"California--State Offshore Natural Gas Gross Withdrawals (MMcf...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","129...

  7. Nebraska Natural Gas Gross Withdrawals and Production

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

    09 2010 2011 2012 2013 2014 View History Gross Withdrawals 2,916 2,255 1,980 1,328 1,032 402 1967-2014 From Gas Wells 2,734 2,092 1,854 1,317 1,027 400 1967-2014 From Oil Wells 182 163 126 11 5 1 1967-2014 From Shale Gas Wells 0 0 0 0 0 0 2007-2014 From Coalbed Wells 0 0 0 0 0 0 2006-2014 Repressuring 0 0 0 0 0 0 1967-2014 Vented and Flared 9 24 21 0 NA NA 1967-2014 Nonhydrocarbon Gases Removed 0 0 0 0 0 0 2006-2014 Marketed Production 2,908 2,231 1,959 1,328 1,032 402 1967-2014 Dry Production

  8. Oregon Natural Gas Gross Withdrawals and Production

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

    09 2010 2011 2012 2013 2014 View History Gross Withdrawals 821 1,407 1,344 770 770 950 1979-2014 From Gas Wells 821 1,407 1,344 770 770 950 1979-2014 From Oil Wells 0 0 0 0 0 0 1996-2014 From Shale Gas Wells 0 0 0 0 0 0 2007-2014 From Coalbed Wells 0 0 0 0 0 0 2002-2014 Repressuring 0 0 0 0 0 0 1994-2014 Vented and Flared 0 0 0 0 0 0 1996-2014 Nonhydrocarbon Gases Removed 0 0 0 0 0 0 1994-2014 Marketed Production 821 1,407 1,344 770 770 950 1979-2014 Dry Production 821 1,407 1,344 770 770 950

  9. Pennsylvania Natural Gas Gross Withdrawals and Production

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

    10 2011 2012 2013 2014 2015 View History Gross Withdrawals 572,902 1,310,592 2,256,696 3,259,042 4,214,643 4,765,305 1967-2015 From Gas Wells 173,450 242,305 210,609 207,872 174,576 1967-2014 From Oil Wells 0 0 3,456 2,987 3,564 1967-2014 From Shale Gas Wells 399,452 1,068,288 2,042,632 3,048,182 4,036,504 2007-2014 From Coalbed Wells 0 0 0 0 0 2006-2014 Repressuring 0 0 0 0 0 1967-2014 Vented and Flared 0 0 0 0 0 1967-2014 Nonhydrocarbon Gases Removed 0 0 0 0 0 1997-2014 Marketed Production

  10. Virginia Natural Gas Gross Withdrawals and Production

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

    09 2010 2011 2012 2013 2014 View History Gross Withdrawals 140,738 147,255 151,094 146,405 139,382 131,885 1967-2014 From Gas Wells 16,046 23,086 20,375 21,802 26,815 27,052 1967-2014 From Oil Wells 0 0 0 9 9 9 2006-2014 From Shale Gas Wells 18,284 16,433 18,501 17,212 13,016 12,226 2007-2014 From Coalbed Wells 106,408 107,736 112,219 107,383 99,542 92,599 2006-2014 Repressuring 0 0 0 0 0 0 2003-2014 Vented and Flared NA NA NA 0 NA NA 1967-2014 Nonhydrocarbon Gases Removed 0 0 0 0 0 0 1997-2014

  11. Kansas Natural Gas Gross Withdrawals and Production

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

    10 2011 2012 2013 2014 2015 View History Gross Withdrawals 325,591 309,952 296,299 292,467 286,080 292,219 1967-2015 From Gas Wells 247,651 236,834 264,610 264,223 260,715 1967-2014 From Oil Wells 39,071 37,194 0 0 0 1967-2014 From Shale Gas Wells 0 0 0 0 0 2007-2014 From Coalbed Wells 38,869 35,924 31,689 28,244 25,365 2002-2014 Repressuring 548 521 0 NA NA 1967-2014 Vented and Flared 323 307 0 NA NA 1967-2014 Nonhydrocarbon Gases Removed 0 0 0 0 0 2002-2014 Marketed Production 324,720 309,124

  12. Kentucky Natural Gas Gross Withdrawals and Production

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

    09 2010 2011 2012 2013 2014 View History Gross Withdrawals 113,300 135,330 124,243 106,122 94,665 78,737 1967-2014 From Gas Wells 111,782 133,521 122,578 106,122 94,665 78,737 1967-2014 From Oil Wells 1,518 1,809 1,665 0 0 0 1967-2014 From Shale Gas Wells 0 0 0 0 0 0 2007-2014 From Coalbed Wells 0 0 0 0 0 0 2006-2014 Repressuring 0 0 0 0 0 0 2006-2014 Vented and Flared 0 0 0 0 0 0 1967-2014 Nonhydrocarbon Gases Removed 0 0 0 0 0 0 2006-2014 Marketed Production 113,300 135,330 124,243 106,122

  13. Louisiana Natural Gas Gross Withdrawals and Production

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

    10 2011 2012 2013 2014 2015 View History Gross Withdrawals 2,218,283 3,040,523 2,955,437 2,366,943 1,987,630 1,943,739 1967-2015 From Gas Wells 911,967 883,712 775,506 780,623 737,185 1967-2014 From Oil Wells 63,638 68,505 49,380 51,948 50,638 1967-2014 From Shale Gas Wells 1,242,678 2,088,306 2,130,551 1,534,372 1,199,807 2007-2014 From Coalbed Wells 0 0 0 0 0 2002-2014 Repressuring 3,606 5,015 0 2,829 3,199 1967-2014 Vented and Flared 4,578 6,302 0 3,912 4,143 1967-2014 Nonhydrocarbon Gases

  14. Deming's General Least Square Fitting

    Energy Science and Technology Software Center (OSTI)

    1992-02-18

    DEM4-26 is a generalized least square fitting program based on Deming''s method. Functions built into the program for fitting include linear, quadratic, cubic, power, Howard''s, exponential, and Gaussian; others can easily be added. The program has the following capabilities: (1) entry, editing, and saving of data; (2) fitting of any of the built-in functions or of a user-supplied function; (3) plotting the data and fitted function on the display screen, with error limits if requested,moreand with the option of copying the plot to the printer; (4) interpolation of x or y values from the fitted curve with error estimates based on error limits selected by the user; and (5) plotting the residuals between the y data values and the fitted curve, with the option of copying the plot to the printer. If the plot is to be copied to a printer, GRAPHICS should be called from the operating system disk before the BASIC interpreter is loaded.less

  15. Foote Creek Rim Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Edit History Foote Creek Rim Wind Farm Jump to: navigation, search The Foote Creek Rim Wind Farm is in Carbon County, Wyoming. It consists of 133 turbines and has a total...

  16. Foote Creek Rim II Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    II Wind Farm Jump to: navigation, search Name Foote Creek Rim II Wind Farm Facility Foote Creek Rim II Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  17. Blue Square Energy BSE | Open Energy Information

    Open Energy Info (EERE)

    Energy BSE Jump to: navigation, search Name: Blue Square Energy (BSE) Place: Maryland Zip: 21901 Product: US manufacturer of low-purity crystalline silicon cells and modules...

  18. Nebraska Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

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

    Feet) Coalbed Wells (Million Cubic 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 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Natural Gas Gross Withdrawals from Coalbed Wells Nebraska Natural Gas Gross Withdrawals and Production Natural Gas Gross Withdrawals from Coalbed

  19. Kentucky Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

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

    Feet) Coalbed Wells (Million Cubic 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 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Natural Gas Gross Withdrawals from Coalbed Wells Kentucky Natural Gas Gross Withdrawals and Production Natural Gas Gross Withdrawals from Coalbed

  20. Maryland Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

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

    Feet) Coalbed Wells (Million Cubic 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 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Natural Gas Gross Withdrawals from Coalbed Wells Maryland Natural Gas Gross Withdrawals and Production Natural Gas Gross Withdrawals from Coalbed

  1. Property:CoolingTowerWaterUseSummerGross | Open Energy Information

    Open Energy Info (EERE)

    Property Name CoolingTowerWaterUseSummerGross Property Type Number Description Cooling Tower Water use (summer average) (afday) Gross. Retrieved from "http:en.openei.orgw...

  2. Fact# 904: December 21, 2015 Gross Domestic Product and Vehicle...

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

    GDP and VMT Trends, 1960-2015 Graph showing gross national product and vehicle travel trends during 2015. Note: Data for the last quarter of 2015 were not available and were ...

  3. Physics Nobel winner David Gross gives public lecture at Jefferson...

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

    Physics Nobel winner David Gross gives public lecture at Jefferson Lab on June 12 (Monday) ... "The Coming Revolutions in Fundamental Physics" beginning at 8 p.m. at Jefferson Lab on ...

  4. ,"Alabama Natural Gas Gross Withdrawals from Shale Gas (Million...

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

    2015 12:34:05 PM" "Back to Contents","Data 1: Alabama Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSALMMCF" "Date","Alabama...

  5. Nevada Natural Gas Gross Withdrawals from Gas Wells (Million...

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

    from Gas Wells (Million Cubic Feet) Nevada Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  6. Other States Natural Gas Gross Withdrawals from Coalbed Wells...

    Gasoline and Diesel Fuel Update (EIA)

    Coalbed Wells (Million Cubic Feet) Other States Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2002 0 0...

  7. Other States Natural Gas Gross Withdrawals from Oil Wells (Million...

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

    Oil Wells (Million Cubic Feet) Other States Natural Gas Gross Withdrawals from Oil Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 3,459 3,117...

  8. Quantification of the Potential Gross Economic Impacts of Five Methane

    Energy Savers [EERE]

    Reduction Scenarios | Department of Energy Quantification of the Potential Gross Economic Impacts of Five Methane Reduction Scenarios Quantification of the Potential Gross Economic Impacts of Five Methane Reduction Scenarios This study assessed five potential methane reduction scenarios from natural gas transmission, storage, and distribution (TS&D) infrastructure using published literature on the costs and the estimated quantity of methane reduced. The results show that implementation

  9. Elmo bumpy square plasma confinement device

    DOE Patents [OSTI]

    Owen, L.W.

    1985-01-01

    The invention is an Elmo bumpy type plasma confinement device having a polygonal configuration of closed magnet field lines for improved plasma confinement. In the preferred embodiment, the device is of a square configuration which is referred to as an Elmo bumpy square (EBS). The EBS is formed by four linear magnetic mirror sections each comprising a plurality of axisymmetric assemblies connected in series and linked by 90/sup 0/ sections of a high magnetic field toroidal solenoid type field generating coils. These coils provide corner confinement with a minimum of radial dispersion of the confined plasma to minimize the detrimental effects of the toroidal curvature of the magnetic field. Each corner is formed by a plurality of circular or elliptical coils aligned about the corner radius to provide maximum continuity in the closing of the magnetic field lines about the square configuration confining the plasma within a vacuum vessel located within the various coils forming the square configuration confinement geometry.

  10. A spectral mimetic least-squares method

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Bochev, Pavel; Gerritsma, Marc

    2014-09-01

    We present a spectral mimetic least-squares method for a model diffusion–reaction problem, which preserves key conservation properties of the continuum problem. Casting the model problem into a first-order system for two scalar and two vector variables shifts material properties from the differential equations to a pair of constitutive relations. We also use this system to motivate a new least-squares functional involving all four fields and show that its minimizer satisfies the differential equations exactly. Discretization of the four-field least-squares functional by spectral spaces compatible with the differential operators leads to a least-squares method in which the differential equations are alsomore » satisfied exactly. Additionally, the latter are reduced to purely topological relationships for the degrees of freedom that can be satisfied without reference to basis functions. Furthermore, numerical experiments confirm the spectral accuracy of the method and its local conservation.« less

  11. A spectral mimetic least-squares method

    SciTech Connect (OSTI)

    Bochev, Pavel; Gerritsma, Marc

    2014-09-01

    We present a spectral mimetic least-squares method for a model diffusionreaction problem, which preserves key conservation properties of the continuum problem. Casting the model problem into a first-order system for two scalar and two vector variables shifts material properties from the differential equations to a pair of constitutive relations. We also use this system to motivate a new least-squares functional involving all four fields and show that its minimizer satisfies the differential equations exactly. Discretization of the four-field least-squares functional by spectral spaces compatible with the differential operators leads to a least-squares method in which the differential equations are also satisfied exactly. Additionally, the latter are reduced to purely topological relationships for the degrees of freedom that can be satisfied without reference to basis functions. Furthermore, numerical experiments confirm the spectral accuracy of the method and its local conservation.

  12. Gross alpha analytical modifications that improve wastewater treatment compliance

    SciTech Connect (OSTI)

    Tucker, B.J.; Arndt, S.

    2007-07-01

    This paper will propose an improvement to the gross alpha measurement that will provide more accurate gross alpha determinations and thus allow for more efficient and cost-effective treatment of site wastewaters. To evaluate the influence of salts that may be present in wastewater samples from a potentially broad range of environmental conditions, two types of efficiency curves were developed, each using a thorium-230 (Th-230) standard spike. Two different aqueous salt solutions were evaluated, one using sodium chloride, and one using salts from tap water drawn from the Bergen County, New Jersey Publicly Owned Treatment Works (POTW). For each curve, 13 to 17 solutions were prepared, each with the same concentration of Th-230 spike, but differing in the total amount of salt in the range of 0 to 100 mg. The attenuation coefficients were evaluated for the two salt types by plotting the natural log of the counted efficiencies vs. the weight of the sample's dried residue retained on the planchet. The results show that the range of the slopes for each of the attenuation curves varied by approximately a factor of 2.5. In order to better ensure the accuracy of results, and thus verify compliance with the gross alpha wastewater effluent criterion, projects depending on gross alpha measurements of environmental waters and wastewaters should employ gross alpha efficiency curves prepared with salts that mimic, as closely as possible, the salt content of the aqueous environmental matrix. (authors)

  13. Latin square three dimensional gage master

    DOE Patents [OSTI]

    Jones, Lynn L. (Lexena, KS)

    1982-01-01

    A gage master for coordinate measuring machines has an nxn array of objects distributed in the Z coordinate utilizing the concept of a Latin square experimental design. Using analysis of variance techniques, the invention may be used to identify sources of error in machine geometry and quantify machine accuracy.

  14. U.S. Nominal Cost per Foot of Crude Oil Wells Drilled (Dollars per Foot)

    Gasoline and Diesel Fuel Update (EIA)

    Oil Wells Drilled (Dollars per Foot) U.S. Nominal Cost per Foot of Crude Oil Wells Drilled (Dollars per Foot) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 13.22 13.11 13.41 13.20 13.12 13.94 15.04 16.61 18.63 19.28 1970's 19.29 18.41 20.77 22.54 27.82 34.17 37.35 41.16 49.72 58.29 1980's 66.36 80.40 86.34 72.65 66.32 66.78 68.35 58.35 62.28 64.92 1990's 69.17 73.75 69.50 67.52 70.57 78.09 70.60 90.48 108.88 156.45 2000's 125.96 153.72 194.55 221.13 298.45

  15. U.S. Nominal Cost per Foot of Dry Wells Drilled (Dollars per Foot)

    Gasoline and Diesel Fuel Update (EIA)

    Dry Wells Drilled (Dollars per Foot) U.S. Nominal Cost per Foot of Dry Wells Drilled (Dollars per Foot) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 10.56 10.56 11.20 10.58 10.64 11.21 12.34 12.87 12.88 13.23 1970's 15.21 16.02 17.28 19.22 26.76 33.86 36.94 43.49 52.55 64.60 1980's 73.70 90.03 104.09 79.10 67.18 73.69 76.53 51.05 66.96 67.61 1990's 67.49 83.05 67.82 72.56 86.60 84.60 95.74 115.09 157.79 182.99 2000's 181.83 271.63 284.17 345.94 327.91

  16. U.S. Nominal Cost per Foot of Natural Gas Wells Drilled (Dollars per Foot)

    Gasoline and Diesel Fuel Update (EIA)

    Natural Gas Wells Drilled (Dollars per Foot) U.S. Nominal Cost per Foot of Natural Gas Wells Drilled (Dollars per Foot) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 18.57 17.65 18.10 17.19 18.57 18.35 21.75 23.05 24.05 25.58 1970's 26.75 27.70 27.78 27.46 34.11 46.23 49.78 57.57 68.37 80.66 1980's 95.16 122.17 146.20 108.37 88.80 93.09 93.02 69.55 84.65 86.86 1990's 90.73 93.10 72.83 83.15 81.90 95.97 98.67 117.55 127.94 138.42 2000's 138.39 172.05 175.78

  17. Pioneer Valley Photovoltaics Cooperative aka PV Squared | Open...

    Open Energy Info (EERE)

    Photovoltaics Cooperative aka PV Squared Jump to: navigation, search Name: Pioneer Valley Photovoltaics Cooperative (aka PV Squared) Place: New Britain, Connecticut Zip: 6051...

  18. Gross Gamma-Ray Calibration Blocks (May 1978) | Department of Energy

    Office of Environmental Management (EM)

    Gross Gamma-Ray Calibration Blocks (May 1978) Gross Gamma-Ray Calibration Blocks (May 1978) Gross Gamma-Ray Calibration Blocks (May 1978) PDF icon Gross Gamma-Ray Calibration Blocks (May 1978) More Documents & Publications Grade Assignments for Models Used for Calibration of Gross-Count Gamma-Ray Logging Systems (December 1983) A Brief Review of the Basis for, and the Procedures Currently Utilized in, Gross Gamma-Ray Log Calibration (October 1976) Parameter Assignments for Spectral Gamma-Ray

  19. Optical inverse-square displacement sensor

    DOE Patents [OSTI]

    Howe, R.D.; Kychakoff, G.

    1989-09-12

    This invention comprises an optical displacement sensor that uses the inverse-square attenuation of light reflected from a diffused surface to calculate the distance from the sensor to the reflecting surface. Light emerging from an optical fiber or the like is directed onto the surface whose distance is to be measured. The intensity I of reflected light is angle dependent, but within a sufficiently small solid angle it falls off as the inverse square of the distance from the surface. At least a pair of optical detectors are mounted to detect the reflected light within the small solid angle, their ends being at different distances R and R + [Delta]R from the surface. The distance R can then be found in terms of the ratio of the intensity measurements and the separation length as given in an equation. 10 figs.

  20. Optical inverse-square displacement sensor

    DOE Patents [OSTI]

    Howe, Robert D.; Kychakoff, George

    1989-01-01

    This invention comprises an optical displacement sensor that uses the inverse-square attenuation of light reflected from a diffused surface to calculate the distance from the sensor to the reflecting surface. Light emerging from an optical fiber or the like is directed onto the surface whose distance is to be measured. The intensity I of reflected light is angle dependent, but within a sufficiently small solid angle it falls off as the inverse square of the distance from the surface. At least a pair of optical detectors are mounted to detect the reflected light within the small solid angle, their ends being at different distances R and R+.DELTA.R from the surface. The distance R can then be found in terms of the ratio of the intensity measurements and the separation length as ##EQU1##

  1. Hybrid least squares multivariate spectral analysis methods

    DOE Patents [OSTI]

    Haaland, David M. (Albuquerque, NM)

    2002-01-01

    A set of hybrid least squares multivariate spectral analysis methods in which spectral shapes of components or effects not present in the original calibration step are added in a following estimation or calibration step to improve the accuracy of the estimation of the amount of the original components in the sampled mixture. The "hybrid" method herein means a combination of an initial classical least squares analysis calibration step with subsequent analysis by an inverse multivariate analysis method. A "spectral shape" herein means normally the spectral shape of a non-calibrated chemical component in the sample mixture but can also mean the spectral shapes of other sources of spectral variation, including temperature drift, shifts between spectrometers, spectrometer drift, etc. The "shape" can be continuous, discontinuous, or even discrete points illustrative of the particular effect.

  2. DOE - Office of Legacy Management -- Foote Mineral Co - PA 27

    Office of Legacy Management (LM)

    Foote Mineral Co - PA 27 FUSRAP Considered Sites Site: Foote Mineral Co. (PA.27 ) Eliminated from further consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Exton , Pennsylvania PA.27-1 Evaluation Year: 1987 PA.27-1 Site Operations: Processed rare earth, principally zirconium and monazite sand was processed on a pilot-plant scale. PA.27-2 Site Disposition: Eliminated - Limited quantity of material handled - Potential for contamination considered remote

  3. Property:CoolingTowerWaterUseAnnlAvgGross | Open Energy Information

    Open Energy Info (EERE)

    Property Name CoolingTowerWaterUseAnnlAvgGross Property Type Number Description Cooling Tower Water use (annual average) (afday) Gross. Retrieved from "http:en.openei.orgw...

  4. Property:CoolingTowerWaterUseWinterGross | Open Energy Information

    Open Energy Info (EERE)

    lingTowerWaterUseWinterGross Property Type Number Description Cooling Tower Water use (winter average) (afday) Gross. Retrieved from "http:en.openei.orgwindex.php?titleProper...

  5. Federal Offshore California Natural Gas Gross Withdrawals (Million Cubic

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Gross Withdrawals (Million Cubic Feet) Federal Offshore California Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 5,417 5,166 5,431 1980's 5,900 12,763 17,751 24,168 46,363 64,558 59,078 54,805 49,167 50,791 1990's 49,972 51,855 55,231 52,150 53,561 54,790 66,784 73,345 74,985 77,809 2000's 76,075 70,947 67,816 58,095 54,655 54,088 40,407 45,516 44,902 41,229 2010's 41,200 36,579 27,262 27,454

  6. Federal Offshore--Alabama Natural Gas Gross Withdrawals (Million Cubic

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Offshore--Alabama Natural Gas Gross Withdrawals (Million Cubic Feet) Federal Offshore--Alabama Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 0 1990's 0 0 79,294 86,515 120,502 143,703 152,055 194,677 170,320 163,763 2000's 160,208 NA NA NA NA NA NA NA NA NA 2010's NA NA 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

  7. Federal Offshore--Louisiana Natural Gas Gross Withdrawals (Million Cubic

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Gross Withdrawals (Million Cubic Feet) Federal Offshore--Louisiana Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 3,838,521 4,101,321 4,262,607 1980's 4,200,273 4,202,553 3,879,918 3,313,354 3,750,641 3,286,091 3,071,900 3,384,442 3,418,949 3,373,680 1990's 3,549,524 3,401,801 3,304,336 3,351,101 3,513,981 3,460,103 3,689,170 3,760,953 3,759,040 3,732,046 2000's 3,671,424 NA NA NA NA NA NA NA NA NA

  8. Louisiana Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Gross Withdrawals Total Offshore (Million Cubic Feet) Louisiana Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 3,838,521 4,600,197 4,750,119 1980's 4,617,585 4,584,491 4,246,464 3,635,942 4,070,279 3,542,827 3,279,165 3,610,041 3,633,594 3,577,685 1990's 3,731,764 3,550,230 3,442,437 3,508,112 3,673,494 3,554,147 3,881,697 3,941,802 3,951,997 3,896,569 2000's 3,812,991 153,871 137,192 133,456

  9. Louisiana--State Offshore Natural Gas Gross Withdrawals (Million Cubic

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Gross Withdrawals (Million Cubic Feet) Louisiana--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 498,876 487,512 1980's 417,312 381,938 366,546 322,588 319,638 256,736 207,265 225,599 214,645 204,005 1990's 182,240 148,429 138,101 157,011 159,513 94,044 192,527 180,848 192,956 164,523 2000's 141,567 153,871 137,192 133,456 129,245 107,584 97,479 72,868 86,198 76,386 2010's 69,836

  10. Louisiana--onshore Natural Gas Gross Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Gross Withdrawals (Million Cubic Feet) Louisiana--onshore Natural Gas Gross Withdrawals (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 1,535,033 1,538,511 1,552,603 1,608,633 1,469,698 1,357,155 1,386,478 1,434,389 2000's 1,342,963 1,370,802 1,245,270 1,244,672 1,248,050 1,202,328 1,280,758 1,309,960 1,301,523 1,482,252 2010's 2,148,447 2,969,297 2,882,193 2,289,193 1,925,968 - = No Data Reported; -- = Not Applicable; NA = Not Available;

  11. Alabama Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Gross Withdrawals Total Offshore (Million Cubic Feet) Alabama Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 9 13 1990's 19,861 32,603 191,605 218,023 349,380 356,598 361,068 409,091 392,320 376,435 2000's 361,289 200,862 202,002 194,339 165,630 152,902 145,762 134,451 125,502 109,214 2010's 101,487 84,270 87,398 75,660 70,827 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  12. Alabama--onshore Natural Gas Gross Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Gross Withdrawals (Million Cubic Feet) Alabama--onshore Natural Gas Gross Withdrawals (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 222,009 228,298 229,483 223,527 221,233 220,674 212,470 207,863 2000's 200,255 191,119 184,500 176,571 173,106 164,304 160,381 155,167 152,051 146,751 2010's 139,215 134,305 128,312 120,666 110,226 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  13. Alaska Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Gross Withdrawals Total Offshore (Million Cubic Feet) Alaska Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 72,813 71,946 1980's 63,355 71,477 66,852 68,776 68,315 62,454 63,007 69,656 101,440 122,595 1990's 144,064 171,665 216,377 233,198 224,301 113,552 126,051 123,854 133,111 125,841 2000's 263,958 262,937 293,580 322,010 334,125 380,568 354,816 374,204 388,188 357,490 2010's 370,148 364,702

  14. Alaska--onshore Natural Gas Gross Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Gross Withdrawals (Million Cubic Feet) Alaska--onshore Natural Gas Gross Withdrawals (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 2,409,336 2,545,144 2,861,599 3,256,352 3,247,533 3,257,096 3,245,736 3,236,241 2000's 3,265,436 3,164,843 3,183,857 3,256,295 3,309,960 3,262,379 2,850,934 3,105,086 3,027,696 2,954,896 2010's 2,826,952 2,798,220 2,857,485 2,882,956 2,803,429 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  15. Calif--onshore Natural Gas Gross Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Gross Withdrawals (Million Cubic Feet) Calif--onshore Natural Gas Gross Withdrawals (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 386,382 346,733 334,987 322,544 326,919 317,137 315,701 347,667 2000's 334,983 336,629 322,138 303,480 287,205 291,271 301,921 286,584 281,088 258,983 2010's 273,136 237,388 214,509 219,386 218,512 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  16. California Natural Gas Gross Withdrawals Total Offshore (Million Cubic

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Gross Withdrawals Total Offshore (Million Cubic Feet) California Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 5,417 19,929 20,394 1980's 19,980 26,692 31,904 38,084 60,207 84,062 77,355 67,835 60,308 59,889 1990's 58,055 59,465 62,473 58,635 60,765 60,694 73,092 80,516 81,868 84,547 2000's 83,882 78,209 74,884 64,961 61,622 60,773 47,217 52,805 51,931 47,281 2010's 46,755 41,742

  17. Texas Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet)

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

    Gross Withdrawals Total Offshore (Million Cubic Feet) Texas Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 88,258 418,474 760,566 1980's 949,177 1,010,772 1,120,830 992,041 1,021,260 942,413 1,169,038 1,330,604 1,376,093 1,457,841 1990's 1,555,568 1,494,494 1,411,147 1,355,333 1,392,727 1,346,674 1,401,753 1,351,067 1,241,264 1,206,045 2000's 1,177,257 53,649 57,063 53,569 44,946 36,932 24,785

  18. Louisiana Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Gross Withdrawals (Million Cubic Feet) Louisiana Natural Gas Gross Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 475,615 415,395 446,189 427,529 421,558 394,184 392,974 396,947 399,564 436,848 434,276 458,989 1992 453,270 402,327 420,967 411,917 431,327 417,000 427,388 382,708 381,170 414,845 406,315 428,235 1993 423,076 382,554 406,496 395,723 411,114 394,868 412,879 420,433 417,563 440,892 458,579 482,445 1994 441,368 402,280 436,425 423,914 438,127

  19. Illinois Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Gross Withdrawals (Million Cubic Feet) Illinois Natural Gas Gross Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 41 38 40 39 38 37 37 38 37 40 40 41 1992 31 28 30 29 28 27 28 28 28 30 30 31 1993 30 29 29 27 27 27 27 28 28 29 27 30 1994 30 29 29 27 27 27 26 28 27 28 26 29 1995 30 29 29 27 27 27 27 28 27 28 26 29 1996 29 28 28 26 27 27 21 22 22 23 21 24 1997 23 22 22 20 21 21 17 17 17 18 16 18 1998 21 20 20 18 19 19 15 16 15 16 15 17 1999 19 18 18 17 17

  20. Indiana Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Gross Withdrawals (Million Cubic Feet) Indiana Natural Gas Gross Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 21 18 20 19 19 19 19 18 19 20 19 21 1992 15 14 15 14 14 14 14 14 14 15 15 15 1993 17 15 16 16 16 15 15 15 15 17 17 17 1994 9 8 9 9 9 8 9 9 8 9 9 10 1995 4 34 22 42 21 13 22 18 8 21 28 16 1996 14 15 28 33 34 30 30 29 27 33 45 41 1997 38 40 34 34 40 29 30 40 34 39 115 52 1998 37 52 51 45 11 21 85 75 74 69 66 28 1999 76 69 79 70 82 70 66 75 59

  1. Federal Offshore Louisiana Natural Gas Gross Withdrawals and Production

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

    Annual-Million Cubic Feet Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2009 2010 2011 2012 2013 2014 View History Gross Withdrawals NA NA NA 0 0 0 1977-2014 From Gas Wells NA NA NA 0 0 0 1977-2014 From Oil Wells NA NA NA 0 0 0 1977-2014 Repressuring 1992-1998 Marketed Production 1992-1998

  2. Augmented Classical Least Squares Multivariate Spectral Analysis

    DOE Patents [OSTI]

    Haaland, David M. (Albuquerque, NM); Melgaard, David K. (Albuquerque, NM)

    2005-07-26

    A method of multivariate spectral analysis, termed augmented classical least squares (ACLS), provides an improved CLS calibration model when unmodeled sources of spectral variation are contained in a calibration sample set. The ACLS methods use information derived from component or spectral residuals during the CLS calibration to provide an improved calibration-augmented CLS model. The ACLS methods are based on CLS so that they retain the qualitative benefits of CLS, yet they have the flexibility of PLS and other hybrid techniques in that they can define a prediction model even with unmodeled sources of spectral variation that are not explicitly included in the calibration model. The unmodeled sources of spectral variation may be unknown constituents, constituents with unknown concentrations, nonlinear responses, non-uniform and correlated errors, or other sources of spectral variation that are present in the calibration sample spectra. Also, since the various ACLS methods are based on CLS, they can incorporate the new prediction-augmented CLS (PACLS) method of updating the prediction model for new sources of spectral variation contained in the prediction sample set without having to return to the calibration process. The ACLS methods can also be applied to alternating least squares models. The ACLS methods can be applied to all types of multivariate data.

  3. Augmented Classical Least Squares Multivariate Spectral Analysis

    DOE Patents [OSTI]

    Haaland, David M. (Albuquerque, NM); Melgaard, David K. (Albuquerque, NM)

    2005-01-11

    A method of multivariate spectral analysis, termed augmented classical least squares (ACLS), provides an improved CLS calibration model when unmodeled sources of spectral variation are contained in a calibration sample set. The ACLS methods use information derived from component or spectral residuals during the CLS calibration to provide an improved calibration-augmented CLS model. The ACLS methods are based on CLS so that they retain the qualitative benefits of CLS, yet they have the flexibility of PLS and other hybrid techniques in that they can define a prediction model even with unmodeled sources of spectral variation that are not explicitly included in the calibration model. The unmodeled sources of spectral variation may be unknown constituents, constituents with unknown concentrations, nonlinear responses, non-uniform and correlated errors, or other sources of spectral variation that are present in the calibration sample spectra. Also, since the various ACLS methods are based on CLS, they can incorporate the new prediction-augmented CLS (PACLS) method of updating the prediction model for new sources of spectral variation contained in the prediction sample set without having to return to the calibration process. The ACLS methods can also be applied to alternating least squares models. The ACLS methods can be applied to all types of multivariate data.

  4. Augmented classical least squares multivariate spectral analysis

    DOE Patents [OSTI]

    Haaland, David M.; Melgaard, David K.

    2004-02-03

    A method of multivariate spectral analysis, termed augmented classical least squares (ACLS), provides an improved CLS calibration model when unmodeled sources of spectral variation are contained in a calibration sample set. The ACLS methods use information derived from component or spectral residuals during the CLS calibration to provide an improved calibration-augmented CLS model. The ACLS methods are based on CLS so that they retain the qualitative benefits of CLS, yet they have the flexibility of PLS and other hybrid techniques in that they can define a prediction model even with unmodeled sources of spectral variation that are not explicitly included in the calibration model. The unmodeled sources of spectral variation may be unknown constituents, constituents with unknown concentrations, nonlinear responses, non-uniform and correlated errors, or other sources of spectral variation that are present in the calibration sample spectra. Also, since the various ACLS methods are based on CLS, they can incorporate the new prediction-augmented CLS (PACLS) method of updating the prediction model for new sources of spectral variation contained in the prediction sample set without having to return to the calibration process. The ACLS methods can also be applied to alternating least squares models. The ACLS methods can be applied to all types of multivariate data.

  5. Physics Nobel winner David Gross gives public lecture at Jefferson Lab on

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

    June 12 (Monday) | Jefferson Lab Physics Nobel winner David Gross gives public lecture at Jefferson Lab on June 12 (Monday) June 6, 2006 David Gross David Gross, Nobel Prize recipient and lecturer David Gross, Nobel Prize recipient is scheduled to give a free, public lecture titled "The Coming Revolutions in Fundamental Physics" beginning at 8 p.m. at Jefferson Lab on (Monday) June 12. He is one of three men - Frank Wilczek, H. David Politzer and Gross - to have their work

  6. Classical least squares multivariate spectral analysis

    DOE Patents [OSTI]

    Haaland, David M. (Albuquerque, NM)

    2002-01-01

    An improved classical least squares multivariate spectral analysis method that adds spectral shapes describing non-calibrated components and system effects (other than baseline corrections) present in the analyzed mixture to the prediction phase of the method. These improvements decrease or eliminate many of the restrictions to the CLS-type methods and greatly extend their capabilities, accuracy, and precision. One new application of PACLS includes the ability to accurately predict unknown sample concentrations when new unmodeled spectral components are present in the unknown samples. Other applications of PACLS include the incorporation of spectrometer drift into the quantitative multivariate model and the maintenance of a calibration on a drifting spectrometer. Finally, the ability of PACLS to transfer a multivariate model between spectrometers is demonstrated.

  7. Hybrid least squares multivariate spectral analysis methods

    DOE Patents [OSTI]

    Haaland, David M.

    2004-03-23

    A set of hybrid least squares multivariate spectral analysis methods in which spectral shapes of components or effects not present in the original calibration step are added in a following prediction or calibration step to improve the accuracy of the estimation of the amount of the original components in the sampled mixture. The hybrid method herein means a combination of an initial calibration step with subsequent analysis by an inverse multivariate analysis method. A spectral shape herein means normally the spectral shape of a non-calibrated chemical component in the sample mixture but can also mean the spectral shapes of other sources of spectral variation, including temperature drift, shifts between spectrometers, spectrometer drift, etc. The shape can be continuous, discontinuous, or even discrete points illustrative of the particular effect.

  8. Gross Input to Atmospheric Crude Oil Distillation Units

    Gasoline and Diesel Fuel Update (EIA)

    Day) Process: Gross Input to Atmospheric Crude Oil Dist. Units Operable Capacity (Calendar Day) Operating Capacity Idle Operable Capacity Operable Utilization Rate Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Process Area Jul-15 Aug-15 Sep-15 Oct-15 Nov-15 Dec-15 View History U.S. 17,178 16,963 16,394 15,690 16,673 16,848 1985-2015 PADD 1 1,192 1,196 1,063 1,133 1,190 1,136 1985-2015 East

  9. California--State Offshore Natural Gas Gross Withdrawals (Million Cubic

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Gross Withdrawals (Million Cubic Feet) California--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 14,763 14,963 1980's 14,080 13,929 14,153 13,916 13,844 19,504 18,277 13,030 11,141 9,098 1990's 8,083 7,610 7,242 6,484 7,204 5,904 6,309 7,171 6,883 6,738 2000's 7,808 7,262 7,068 6,866 6,966 6,685 6,809 7,289 7,029 6,052 2010's 5,554 5,163 5,051 5,470 5,961 - = No Data Reported; -- =

  10. Colorado Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Gross Withdrawals (Million Cubic Feet) Colorado Natural Gas Gross Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 21,103 24,172 24,435 25,590 23,263 23,548 23,557 24,550 23,440 24,584 25,178 31,698 1992 28,269 26,307 25,490 26,125 27,205 27,139 26,396 27,842 27,128 28,391 29,527 34,175 1993 32,694 29,383 33,718 34,380 36,385 33,931 32,995 34,802 33,910 35,488 36,448 39,870 1994 39,207 35,941 38,103 38,734 41,588 36,686 38,457 39,010 39,176 40,396 39,810

  11. Kansas Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Gross Withdrawals (Million Cubic Feet) Kansas Natural Gas Gross Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 64,057 54,742 58,012 52,088 50,888 46,821 45,032 42,868 43,595 50,514 58,127 63,441 1992 65,091 56,523 53,640 47,570 50,404 48,717 49,180 48,695 47,944 56,453 64,486 71,039 1993 68,326 59,556 61,876 55,016 56,230 53,159 53,089 51,079 47,670 54,487 60,596 67,071 1994 70,958 61,850 64,259 57,135 58,396 55,207 55,134 53,046 49,506 56,586 62,930

  12. Kentucky Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Gross Withdrawals (Million Cubic Feet) Kentucky Natural Gas Gross Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 7,021 6,303 6,870 6,515 6,458 6,272 6,394 6,382 6,194 6,740 6,739 7,017 1992 5,425 7,142 6,716 7,270 7,191 6,365 6,320 7,295 6,011 6,813 6,684 6,458 1993 7,343 7,269 6,783 6,309 6,962 9,647 6,801 7,537 5,997 6,422 6,163 9,732 1994 6,171 6,109 5,700 5,302 5,850 8,107 5,715 6,333 5,040 5,397 5,179 8,179 1995 6,312 6,249 5,831 5,423 5,984 8,293

  13. Mississippi Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Gross Withdrawals (Million Cubic Feet) Mississippi Natural Gas Gross Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 16,689 14,603 15,913 14,873 14,762 14,321 14,814 14,777 13,871 15,072 15,320 15,756 1992 15,037 13,554 14,071 13,563 13,972 13,882 13,992 13,905 11,566 14,054 14,043 13,898 1993 13,573 12,177 12,578 12,247 12,462 12,188 12,879 11,849 11,949 11,652 10,841 10,630 1994 10,324 9,474 10,554 9,984 10,227 9,886 10,159 10,675 10,780 10,098 9,632

  14. Missouri Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Gross Withdrawals (Million Cubic Feet) Missouri Natural Gas Gross Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 0 0 1 2 1 1 1 1 1 2 3 2 1992 4 4 3 2 1 1 1 1 1 2 4 3 1993 2 2 2 1 0 0 0 0 0 2 3 2 1994 1 1 1 1 0 0 0 0 0 0 2 2 1995 2 1 2 2 1 1 1 0 0 1 3 3 1996 2 2 2 1 1 1 1 0 0 3 3 11 1997 2 2 0 0 0 0 0 0 0 0 0 0 1998 0 0 0 0 0 0 0 0 0 0 0 0 1999 0 0 0 0 0 0 0 0 0 0 0 0 2000 0 0 0 0 0 0 0 0 0 0 0 0 2001 0 0 0 0 0 0 0 0 0 0 2002 0 0 0 0 0 0 0 0 0 0 0 2003

  15. Montana Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Gross Withdrawals (Million Cubic Feet) Montana Natural Gas Gross Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 5,317 4,533 4,861 4,866 4,600 3,543 3,583 4,173 4,023 4,479 4,241 4,783 1992 5,106 4,902 5,332 4,653 4,504 3,734 3,938 3,854 3,842 4,583 5,144 5,218 1993 5,335 4,826 5,124 4,790 4,693 4,058 3,995 3,454 4,095 5,064 4,920 5,163 1994 4,998 4,529 4,625 4,439 4,132 3,399 3,440 3,797 3,970 4,512 4,533 4,698 1995 4,965 4,316 4,752 4,417 4,186 3,459

  16. Maryland Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Gross Withdrawals (Million Cubic Feet) Maryland Natural Gas Gross Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 0 0 5 0 0 5 0 0 3 0 0 16 1992 4 4 3 2 2 2 2 3 3 2 2 2 1993 2 2 2 2 1 2 3 3 3 3 3 2 1994 2 2 2 2 2 2 2 3 3 3 2 2 1995 2 2 2 2 2 2 2 2 2 2 2 2 1996 2 15 21 9 11 11 11 6 10 22 6 11 1997 2 13 18 8 10 10 9 5 9 20 5 9 1998 5 4 3 4 5 7 6 6 5 6 5 6 1999 2 1 2 2 1 2 2 2 2 1 1 1 2000 3 2 3 4 3 3 3 3 3 2 2 2 2001 3 2 3 3 3 3 3 3 3 2 2 2 2002 2 1 1 1 1

  17. Michigan Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Gross Withdrawals (Million Cubic Feet) Michigan Natural Gas Gross Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 15,965 14,322 17,792 18,491 19,993 16,466 16,940 16,169 16,512 15,527 15,816 17,420 1992 14,533 13,052 16,483 15,598 13,484 21,140 16,680 17,672 19,682 18,086 14,749 19,320 1993 19,565 10,672 25,042 20,172 14,793 18,282 21,131 17,417 18,866 16,233 14,930 13,195 1994 28,151 3,543 36,182 8,227 26,191 18,882 21,165 18,682 20,799 15,884 19,038

  18. Table 6.4 Natural Gas Gross Withdrawals and Natural Gas Well Productivity, 1960-2011

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

    Natural Gas Gross Withdrawals and Natural Gas Well Productivity, 1960-2011 Year Natural Gas Gross Withdrawals From Crude Oil, Natural Gas, Coalbed, and Shale Gas Wells Natural Gas Well Productivity Texas 1 Louisiana 1 Oklahoma Other States 1 Federal Gulf of Mexico 2 Total Onshore Offshore Total Gross With- drawals From Natural Gas Wells 3 Producing Wells 4 Average Productivity Federal State Total Million Cubic Feet Million Cubic Feet Million Cubic Feet Number Cubic Feet per Well 1960 6,964,900

  19. Fact# 904: December 21, 2015 Gross Domestic Product and Vehicle Travel:

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

    Both Increased during 2015 | Department of Energy 4: December 21, 2015 Gross Domestic Product and Vehicle Travel: Both Increased during 2015 Fact# 904: December 21, 2015 Gross Domestic Product and Vehicle Travel: Both Increased during 2015 SUBSCRIBE to the Fact of the Week The nation's highway vehicle miles of travel (VMT) and the U.S. gross domestic product (GDP) reflect strikingly similar patterns, indicating the strong relationship between the nation's economy and its travel. Beginning in

  20. Spatial confinement and thermal deconfinement in the Gross-Neveu model

    SciTech Connect (OSTI)

    Malbouisson, J. M. C.; Khanna, F. C.; Malbouisson, A. P. C.

    2007-06-19

    We discuss the occurrence of spatial confinement and thermal deconfinement in the massive, D-dimensional, Gross-Neveu model with compactified spatial dimensions.

  1. Grade Assignments for Models Used for Calibration of Gross-Count Gamma-Ray

    Office of Environmental Management (EM)

    Logging Systems (December 1983) | Department of Energy Grade Assignments for Models Used for Calibration of Gross-Count Gamma-Ray Logging Systems (December 1983) Grade Assignments for Models Used for Calibration of Gross-Count Gamma-Ray Logging Systems (December 1983) Grade Assignments for Models Used for Calibration of Gross-Count Gamma-Ray Logging Systems (December 1983) PDF icon Grade Assignments for Models Used for Calibration of Gross-Count Gamma-Ray Logging Systems (December 1983) More

  2. New Mexico Natural Gas Gross Withdrawals and Production

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

    10 2011 2012 2013 2014 2015 View History Gross Withdrawals 1,341,475 1,287,682 1,276,296 1,247,394 1,265,579 1,290,139 1967-2015 From Gas Wells 616,134 556,024 653,057 588,127 535,181 1967-2014 From Oil Wells 238,580 252,326 127,009 160,649 204,054 1967-2014 From Shale Gas Wells 71,867 93,071 127,548 167,961 214,502 2007-2014 From Coalbed Wells 414,894 386,262 368,682 330,658 311,842 2002-2014 Repressuring 7,513 6,687 9,906 12,583 16,701 1967-2014 Vented and Flared 1,586 4,360 12,259 21,053

  3. Other States Total Natural Gas Gross Withdrawals and Production

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

    Monthly-Million Cubic Feet Monthly-Million Cubic Feet per Day Annual-Million Cubic Feet Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2010 2011 2012 2013 2014 2015 View History Gross Withdrawals 5,864,402 6,958,125 8,225,321 689,082 633,853 595,158 1991-2015 From Gas Wells 2,523,173 2,599,172 3,177,021 362,605 328,809 1991-2014 From Oil Wells 691,643 728,857 279,627 23,391 22,817 1991-2014 From

  4. Federal Offshore Gulf of Mexico Natural Gas Gross Withdrawals and

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

    Production Monthly-Million Cubic Feet Monthly-Million Cubic Feet per Day Annual-Million Cubic Feet Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2010 2011 2012 2013 2014 2015 View History Gross Withdrawals 2,259,144 1,830,913 1,527,875 1,326,697 1,275,213 1,346,074 1997-2015 From Gas Wells 1,699,908 1,353,929 1,013,914 817,340 706,413 1997-2014 From Oil Wells 559,235 476,984 513,961 509,357

  5. Gross national happiness as a framework for health impact assessment

    SciTech Connect (OSTI)

    Pennock, Michael; Ura, Karma

    2011-01-15

    The incorporation of population health concepts and health determinants into Health Impact Assessments has created a number of challenges. The need for intersectoral collaboration has increased; the meaning of 'health' has become less clear; and the distinctions between health impacts, environmental impacts, social impacts and economic impacts have become increasingly blurred. The Bhutanese concept of Gross National Happiness may address these issues by providing an over-arching evidence-based framework which incorporates health, social, environmental and economic contributors as well as a number of other key contributors to wellbeing such as culture and governance. It has the potential to foster intersectoral collaboration by incorporating a more limited definition of health which places the health sector as one of a number of contributors to wellbeing. It also allows for the examination of the opportunity costs of health investments on wellbeing, is consistent with whole-of-government approaches to public policy and emerging models of social progress.

  6. 2-D weighted least-squares phase unwrapping

    DOE Patents [OSTI]

    Ghiglia, Dennis C. (Placitas, NM); Romero, Louis A. (Albuquerque, NM)

    1995-01-01

    Weighted values of interferometric signals are unwrapped by determining the least squares solution of phase unwrapping for unweighted values of the interferometric signals; and then determining the least squares solution of phase unwrapping for weighted values of the interferometric signals by preconditioned conjugate gradient methods using the unweighted solutions as preconditioning values. An output is provided that is representative of the least squares solution of phase unwrapping for weighted values of the interferometric signals.

  7. 2-D weighted least-squares phase unwrapping

    DOE Patents [OSTI]

    Ghiglia, D.C.; Romero, L.A.

    1995-06-13

    Weighted values of interferometric signals are unwrapped by determining the least squares solution of phase unwrapping for unweighted values of the interferometric signals; and then determining the least squares solution of phase unwrapping for weighted values of the interferometric signals by preconditioned conjugate gradient methods using the unweighted solutions as preconditioning values. An output is provided that is representative of the least squares solution of phase unwrapping for weighted values of the interferometric signals. 6 figs.

  8. Word in the Square: Conversation Monitoring and Analysis Report |

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

    Department of Energy Word in the Square: Conversation Monitoring and Analysis Report Word in the Square: Conversation Monitoring and Analysis Report Prepared for the Hydrogen Education Foundation December 10, 2007. This report summarizes online discussions about hydrogen within the context of alternative energy, environment, technology and sustainability. This report focuses on the online discussions for the month of November 2007. PDF icon word_square_nha.pdf More Documents &

  9. Real and effective thermal equilibrium in artificial square spin...

    Office of Scientific and Technical Information (OSTI)

    Title: Real and effective thermal equilibrium in artificial square spin ices Authors: Morgan, Jason P. ; Akerman, Johanna ; Stein, Aaron ; Phatak, Charudatta ; Evans, R. M. L. ; ...

  10. Higher velocity, high-foot implosions on the National Ignition Facility laser

    SciTech Connect (OSTI)

    Callahan, D. A.; Hurricane, O. A.; Hinkel, D. E.; Dppner, T.; Ma, T.; Park, H.-S.; Barrios Garcia, M. A.; Berzak Hopkins, L. F.; Casey, D. T.; Cerjan, C. J.; Dewald, E. L.; Dittrich, T. R.; Edwards, M. J.; Haan, S. W.; Hamza, A. V.; Kritcher, A. L.; Landen, O. L.; LePape, S.; MacPhee, A. G.; Milovich, J. L.; and others

    2015-05-15

    By increasing the velocity in high foot implosions [Dittrich et al., Phys. Rev. Lett. 112, 055002 (2014); Park et al., Phys. Rev. Lett. 112, 055001 (2014); Hurricane et al., Nature 506, 343 (2014); Hurricane et al., Phys. Plasmas 21, 056314 (2014)] on the National Ignition Facility laser, we have nearly doubled the neutron yield and the hotspot pressure as compared to the implosions reported upon last year. The implosion velocity has been increased using a combination of the laser (higher power and energy), the hohlraum (depleted uranium wall material with higher opacity and lower specific heat than gold hohlraums), and the capsule (thinner capsules with less mass). We find that the neutron yield from these experiments scales systematically with a velocity-like parameter of the square root of the laser energy divided by the ablator mass. By connecting this parameter with the inferred implosion velocity (v), we find that for shots with primary yield >1 10{sup 15} neutrons, the total yield ??v{sup 9.4}. This increase is considerably faster than the expected dependence for implosions without alpha heating (?v{sup 5.9}) and is additional evidence that these experiments have significant alpha heating.

  11. Higher velocity, high-foot implosions on the National Ignition Facility laser

    SciTech Connect (OSTI)

    Callahan, D. A.; Hurricane, O. A.; Hinkel, D. E.; Dppner, T.; Ma, T.; Park, H. -S.; Barrios Garcia, M. A.; Berzak Hopkins, L. F.; Casey, D. T.; Cerjan, C. J.; Dewald, E. L.; Dittrich, T. R.; Edwards, M. J.; Haan, S. W.; Hamza, A. V.; Kline, J. L.; Knauer, J. P.; Kritcher, A. L.; Landen, O. L.; LePape, S.; MacPhee, A. G.; Milovich, J. L.; Nikroo, A.; Pak, A. E.; Patel, P. K.; Rygg, J. R.; Ralph, J. E.; Salmonson, J. D.; Spears, B. K.; Springer, P. T.; Tommasini, R.; Benedetti, L. R.; Bionta, R. M.; Bond, E. J.; Bradley, D. K.; Caggiano, J. A.; Field, J. E.; Fittinghoff, D. N.; Frenje, J.; Gatu Johnson, M.; Grim, G. P.; Hatarik, R.; Merrill, F. E.; Nagel, S. R.; Izumi, N.; Khan, S. F.; Town, R. P. J.; Sayre, D. B.; Volegov, P.; Wilde, C. H.

    2015-05-15

    By increasing the velocity in high foot implosions [Dittrich et al., Phys. Rev. Lett. 112, 055002 (2014); Park et al., Phys. Rev. Lett. 112, 055001 (2014); Hurricane et al., Nature 506, 343 (2014); Hurricane et al., Phys. Plasmas 21, 056314 (2014)] on the National Ignition Facility laser, we have nearly doubled the neutron yield and the hotspot pressure as compared to the implosions reported upon last year. The implosion velocity has been increased using a combination of the laser (higher power and energy), the hohlraum (depleted uranium wall material with higher opacity and lower specific heat than gold hohlraums), and the capsule (thinner capsules with less mass). We find that the neutron yield from these experiments scales systematically with a velocity-like parameter of the square root of the laser energy divided by the ablator mass. By connecting this parameter with the inferred implosion velocity (v), we find that for shots with primary yield >1e15 neutrons, the total yield ~ v???. This increase is considerably faster than the expected dependence for implosions without alpha heating ( ~v???) and is additional evidence that these experiments have significant alpha heating.

  12. Airborne spread of foot-and-mouth disease - model intercomparison

    SciTech Connect (OSTI)

    Gloster, J; Jones, A; Redington, A; Burgin, L; Sorensen, J H; Turner, R; Dillon, M; Hullinger, P; Simpson, M; Astrup, P; Garner, G; Stewart, P; D'Amours, R; Sellers, R; Paton, D

    2008-09-04

    Foot-and-mouth disease is a highly infectious vesicular disease of cloven-hoofed animals caused by foot-and-mouth disease virus. It spreads by direct contact between animals, by animal products (milk, meat and semen), by mechanical transfer on people or fomites and by the airborne route - with the relative importance of each mechanism depending on the particular outbreak characteristics. Over the years a number of workers have developed or adapted atmospheric dispersion models to assess the risk of foot-and-mouth disease virus spread through the air. Six of these models were compared at a workshop hosted by the Institute for Animal Health/Met Office during 2008. A number of key issues emerged from the workshop and subsequent modelling work: (1) in general all of the models predicted similar directions for 'at risk' livestock with much of the remaining differences strongly related to differences in the meteorological data used; (2) determination of an accurate sequence of events is highly important, especially if the meteorological conditions vary substantially during the virus emission period; and (3) differences in assumptions made about virus release, environmental fate, and subsequent infection can substantially modify the size and location of the downwind risk area. Close relationships have now been established between participants, which in the event of an outbreak of disease could be readily activated to supply advice or modelling support.

  13. Missouri Natural Gas Gross Withdrawals from Oil Wells (Million Cubic Feet)

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

    from Oil Wells (Million Cubic Feet) Missouri Natural Gas Gross Withdrawals from Oil Wells (Million Cubic 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 NA NA 2010's NA NA NA 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Natural Gas Gross Withdrawals from Oil Wells Missouri Natural Gas Gross Withdrawals

  14. Missouri Natural Gas Gross Withdrawals from Oil Wells (Million Cubic Feet)

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

    from Oil Wells (Million Cubic Feet) Missouri Natural Gas Gross Withdrawals from Oil Wells (Million Cubic 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 NA NA 2010's NA NA NA 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Natural Gas Gross Withdrawals from Oil Wells Missouri Natural Gas Gross Withdrawals

  15. Nevada Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet)

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

    from Gas Wells (Million Cubic Feet) Nevada Natural Gas Gross Withdrawals from Gas Wells (Million Cubic 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 0 0 2010's 0 0 0 0 3 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Natural Gas Gross Withdrawals from Gas Wells Nevada Natural Gas Gross Withdrawals and

  16. Nevada Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)

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

    Shale Gas (Million Cubic 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 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Natural Gas Gross Withdrawals from Shale Gas Wells Nevada Natural Gas Gross Withdrawals and Production Natural Gas Gross Withdrawals from Shale

  17. Oregon Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)

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

    Shale Gas (Million Cubic 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 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Natural Gas Gross Withdrawals from Shale Gas Wells Oregon Natural Gas Gross Withdrawals and Production Natural Gas Gross Withdrawals from Shale Gas

  18. Fact #621: May 3, 2010 Gross Vehicle Weight vs. Empty Vehicle Weight |

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

    Department of Energy 1: May 3, 2010 Gross Vehicle Weight vs. Empty Vehicle Weight Fact #621: May 3, 2010 Gross Vehicle Weight vs. Empty Vehicle Weight The gross weight of a vehicle (GVW) is the weight of the empty vehicle plus the weight of the maximum payload that the vehicle was designed to carry. In cars and small light trucks, the difference between the empty weight of the vehicle and the GVW is not significantly different (1,000 to 1,500 lbs). The largest trucks and tractor-trailers,

  19. Fact #768: February 25, 2013 New Light Vehicle Sales and Gross Domestic

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

    Product | Department of Energy 8: February 25, 2013 New Light Vehicle Sales and Gross Domestic Product Fact #768: February 25, 2013 New Light Vehicle Sales and Gross Domestic Product Over the last four decades, new light vehicle sales have gone from a low of 9.9 million vehicles in 1970 to a high of 17.1 million vehicles sold in 2001, but along the way, there have been significant ups and downs. Those ups and downs are also reflected in the change in Gross Domestic Product (GDP) over time

  20. 2D barrier in a superconducting niobium square

    SciTech Connect (OSTI)

    Joya, Miryam R. Barba-ortega, J.; Sardella, Edson

    2014-11-05

    The presence of barriers changes the vortex structure in superconducting Nb square in presence of a uniform applied magnetic field. The Cooper pair configurations in a mesoscopics superconducting square of Nb with a barrier are calculated within the nonlinear Ginzburg Landau equations. We predict the nucleation of multi-vortex states into the sample and a soft entry of the magnetic field inside and around into the barrier. A novel and non-conventional vortex configurations occurs at determined magnetic field.

  1. Word in the Square: Conversation Monitoring and Analysis Report

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

    Word in the Square Conversation Monitoring and Analysis Report Prepared for the Hydrogen Education Foundation December 10, 2007 Overview The Word in the Square Report summarizes online discussions about hydrogen within the context of alternative energy, environment, technology and sustainability. This report focuses on the online discussions for the month of November 2007. The report is divided into five categories: * Key Findings - provides key insight of the major topics of conversation *

  2. EIA Energy Efficiency-Table 4e. Gross Output by Selected Industries...

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

    e Page Last Modified: May 2010 Table 4e. Gross Output1by Selected Industries, 1998, 2002, and 2006 (Billion 2000 Dollars 2) MECS Survey Years NAICS Subsector and Industry 1998 2002...

  3. EIA Energy Efficiency-Table 3e. Gross Output by Selected Industries...

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

    e Page Last Modified: May 2010 Table 3e. Gross Output1 by Selected Industries, 1998, 2002, and 2006 (Current Billion Dollars) MECS Survey Years NAICS Subsector and Industry 1998...

  4. 23 V.S.A. Section 1392 Gross Weight Limits on Highways | Open...

    Open Energy Info (EERE)

    Section 1392 Gross Weight Limits on HighwaysLegal Abstract Statute establishes the motor vehicle weight, load size, not to exceed 80,000 pounds without a permit. Published NA...

  5. Fact #564: March 30, 2009 Transportation and the Gross Domestic Product, 2007

    Broader source: Energy.gov [DOE]

    Transportation plays a major role in the U.S. economy. About 10% of the U.S. Gross Domestic Product (GDP) in 2007 is related to transportation. Housing, health care, and food are the only...

  6. U.S. Natural Gas Gross Withdrawals from Gas Wells (Million Cubic...

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

    Gas Wells (Million Cubic Feet) U.S. Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 1,482,053 1,363,737...

  7. U.S. Natural Gas Gross Withdrawals from Oil Wells (Million Cubic...

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

    Oil Wells (Million Cubic Feet) U.S. Natural Gas Gross Withdrawals from Oil Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 475,614 500,196 1993...

  8. A Least-Squares Transport Equation Compatible with Voids

    SciTech Connect (OSTI)

    Hansen, Jon [Texas A & M Univ., College Station, TX (United States). Dept. of Nuclear Engineering; Peterson, Jacob [Texas A & M Univ., College Station, TX (United States). Dept. of Nuclear Engineering; Morel, Jim [Texas A & M Univ., College Station, TX (United States). Dept. of Nuclear Engineering; Ragusa, Jean [Texas A & M Univ., College Station, TX (United States). Dept. of Nuclear Engineering; Wang, Yaqi [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2014-12-01

    Standard second-order self-adjoint forms of the transport equation, such as the even-parity, odd-parity, and self-adjoint angular flux equation, cannot be used in voids. Perhaps more important, they experience numerical convergence difficulties in near-voids. Here we present a new form of a second-order self-adjoint transport equation that has an advantage relative to standard forms in that it can be used in voids or near-voids. Our equation is closely related to the standard least-squares form of the transport equation with both equations being applicable in a void and having a nonconservative analytic form. However, unlike the standard least-squares form of the transport equation, our least-squares equation is compatible with source iteration. It has been found that the standard least-squares form of the transport equation with a linear-continuous finite-element spatial discretization has difficulty in the thick diffusion limit. Here we extensively test the 1D slab-geometry version of our scheme with respect to void solutions, spatial convergence rate, and the intermediate and thick diffusion limits. We also define an effective diffusion synthetic acceleration scheme for our discretization. Our conclusion is that our least-squares Sn formulation represents an excellent alternative to existing second-order Sn transport formulations

  9. Organic light-emitting diodes from homoleptic square planar complexes

    DOE Patents [OSTI]

    Omary, Mohammad A

    2013-11-12

    Homoleptic square planar complexes [M(N.LAMBDA.N).sub.2], wherein two identical N.LAMBDA.N bidentate anionic ligands are coordinated to the M(II) metal center, including bidentate square planar complexes of triazolates, possess optical and electrical properties that make them useful for a wide variety of optical and electrical devices and applications. In particular, the complexes are useful for obtaining white or monochromatic organic light-emitting diodes ("OLEDs"). Improved white organic light emitting diode ("WOLED") designs have improved efficacy and/or color stability at high brightness in single- or two-emitter white or monochrome OLEDs that utilize homoleptic square planar complexes, including bis[3,5-bis(2-pyridyl)-1,2,4-triazolato]platinum(II) ("Pt(ptp).sub.2").

  10. High-frequency matrix converter with square wave input

    DOE Patents [OSTI]

    Carr, Joseph Alexander; Balda, Juan Carlos

    2015-03-31

    A device for producing an alternating current output voltage from a high-frequency, square-wave input voltage comprising, high-frequency, square-wave input a matrix converter and a control system. The matrix converter comprises a plurality of electrical switches. The high-frequency input and the matrix converter are electrically connected to each other. The control system is connected to each switch of the matrix converter. The control system is electrically connected to the input of the matrix converter. The control system is configured to operate each electrical switch of the matrix converter converting a high-frequency, square-wave input voltage across the first input port of the matrix converter and the second input port of the matrix converter to an alternating current output voltage at the output of the matrix converter.

  11. U.S. Real Cost per Foot of Crude Oil, Natural Gas, and Dry Wells Drilled

    Gasoline and Diesel Fuel Update (EIA)

    (Dollars per Foot) Foot of Crude Oil, Natural Gas, and Dry Wells Drilled (Dollars per Foot) U.S. Real Cost per Foot of Crude Oil, Natural Gas, and Dry Wells Drilled (Dollars per Foot) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 61.83 60.39 61.71 58.22 58.11 59.64 64.51 66.84 67.56 67.15 1970's 68.42 65.82 68.82 70.65 83.31 97.34 100.66 109.49 123.76 136.64 1980's 142.52 159.51 173.34 127.81 106.27 108.09 107.90 80.21 92.78 93.63 1990's 93.23 97.86

  12. Latin-square three-dimensional gage master

    DOE Patents [OSTI]

    Jones, L.

    1981-05-12

    A gage master for coordinate measuring machines has an nxn array of objects distributed in the Z coordinate utilizing the concept of a Latin square experimental design. Using analysis of variance techniques, the invention may be used to identify sources of error in machine geometry and quantify machine accuracy.

  13. ,"Other States Total Natural Gas Gross Withdrawals and Production"

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

    Total Natural Gas Gross Withdrawals and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Other States Total Natural Gas Gross Withdrawals and Production",10,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release

  14. ,"US--Federal Offshore Natural Gas Gross Withdrawals (MMcf)"

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

    Federal Offshore Natural Gas Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","US--Federal Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  15. ,"Federal Offshore California Natural Gas Gross Withdrawals (MMcf)"

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

    Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore California Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  16. ,"Federal Offshore Gulf of Mexico Natural Gas Gross Withdrawals and Production"

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

    Gulf of Mexico Natural Gas Gross Withdrawals and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore Gulf of Mexico Natural Gas Gross Withdrawals and Production",10,"Monthly","12/2015","1/15/1997" ,"Release Date:","2/29/2016" ,"Next Release

  17. ,"Federal Offshore--Alabama Natural Gas Gross Withdrawals (MMcf)"

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

    Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore--Alabama Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  18. ,"Federal Offshore--Louisiana Natural Gas Gross Withdrawals (MMcf)"

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

    Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore--Louisiana Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  19. ,"Federal Offshore--Texas Natural Gas Gross Withdrawals (MMcf)"

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

    Natural Gas Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore--Texas Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  20. Word in the Square: Conversation Monitoring and Analysis Report |

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

    Department of Energy Prepared for the Hydrogen Education Foundation December 10, 2007. This report summarizes online discussions about hydrogen within the context of alternative energy, environment, technology and sustainability. This report focuses on the online discussions for the month of November 2007. PDF icon word_square_nha.pdf More Documents & Publications The Department of Energy Hydrogen and Fuel Cells Program Plan 2008 Fuel Cell Technologies Market Report

  1. Gross error detection and stage efficiency estimation in a separation process

    SciTech Connect (OSTI)

    Serth, R.W.; Srikanth, B. . Dept. of Chemical and Natural Gas Engineering); Maronga, S.J. . Dept. of Chemical and Process Engineering)

    1993-10-01

    Accurate process models are required for optimization and control in chemical plants and petroleum refineries. These models involve various equipment parameters, such as stage efficiencies in distillation columns, the values of which must be determined by fitting the models to process data. Since the data contain random and systematic measurement errors, some of which may be large (gross errors), they must be reconciled to obtain reliable estimates of equipment parameters. The problem thus involves parameter estimation coupled with gross error detection and data reconciliation. MacDonald and Howat (1988) studied the above problem for a single-stage flash distillation process. Their analysis was based on the definition of stage efficiency due to Hausen, which has some significant disadvantages in this context, as discussed below. In addition, they considered only data sets which contained no gross errors. The purpose of this article is to extend the above work by considering alternative definitions of state efficiency and efficiency estimation in the presence of gross errors.

  2. "Table 2. Real Gross Domestic Product Growth Trends, Projected vs. Actual"

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

    Real Gross Domestic Product Growth Trends, Projected vs. Actual" "Projected Real GDP Growth Trend" " (cumulative average percent growth in projected real GDP from first year shown for each AEO)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO

  3. Forty-Six-Foot Tall Needle Sculpture Rises Over Arts Quad > EMC2...

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

    Section EMC2 News Archived News Stories Forty-Six-Foot Tall Needle Sculpture Rises Over Arts Quad September 14th, 2014 By ANUSHKA MEHROTRA Students walking around campus this...

  4. R-SQUARE IMPEDANCES OF ERL FERRITE HOM ABSORBER.

    SciTech Connect (OSTI)

    HAHN, H.; BURRILL, A.; CALAGA,R.; KAYRAN, D.; ZHAO, Y.

    2005-07-10

    An R&D facility for an Energy Recovery Linac (ERL) intended as part of an electron-cooling project for RHIC is, being constructed at this laboratory. The center piece of the facility is a 5-cell 703.75 MHz super-conducting RF linac. Successful operation will depend on effective HOM damping. It is planned to achieve HOM damping exclusively with ferrite absorbers. The performance of a prototype absorber was measured by transforming it into a resonant cavity and alternatively by a conventional wire method. The results expressed as a surface or R-square impedance are presented in this paper.

  5. Federal Offshore--Texas Natural Gas Gross Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Gross Withdrawals (Million Cubic Feet) Federal Offshore--Texas Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 88,258 249,255 554,076 1980's 696,181 775,351 875,204 844,711 909,778 834,870 1,054,537 1,232,554 1,278,548 1,346,940 1990's 1,447,164 1,396,001 1,332,883 1,276,099 1,308,154 1,283,493 1,338,413 1,286,539 1,180,967 1,157,128 2000's 1,136,062 NA NA NA NA NA NA NA NA NA 2010's NA NA 0 0 0 - = No Data

  6. Alabama--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Gross Withdrawals (Million Cubic Feet) Alabama--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 9 13 1990's 19,861 32,603 112,311 131,508 228,878 212,895 209,013 214,414 222,000 212,673 2000's 201,081 200,862 202,002 194,339 165,630 152,902 145,762 134,451 125,502 109,214 2010's 101,487 84,270 87,398 75,660 70,827 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  7. Alaska--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Gross Withdrawals (Million Cubic Feet) Alaska--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 72,813 71,946 1980's 63,355 71,477 66,852 68,776 68,315 62,454 63,007 69,656 101,440 122,595 1990's 144,064 171,665 216,377 233,198 224,301 113,552 126,051 123,854 133,111 125,841 2000's 263,958 262,937 293,580 322,010 334,125 380,568 354,816 374,204 388,188 357,490 2010's 370,148 364,702 307,306

  8. Federal Offshore--Gulf of Mexico Natural Gas Gross Withdrawals (Million

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

    Cubic Feet) Gross Withdrawals (Million Cubic Feet) Federal Offshore--Gulf of Mexico Natural Gas Gross Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1997 432,713 396,681 438,926 423,131 435,592 426,888 434,325 439,712 428,689 440,668 425,849 441,756 1998 443,757 398,519 448,486 438,144 457,815 435,237 439,093 443,144 336,241 421,315 414,058 434,518 1999 436,171 395,293 435,012 424,724 432,489 414,495 431,981 424,513 408,237 421,312 409,660 419,049 2000

  9. Texas--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Gross Withdrawals (Million Cubic Feet) Texas--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 169,219 206,490 1980's 252,996 235,421 245,626 147,330 111,482 107,543 114,501 98,050 97,545 110,901 1990's 108,404 98,493 78,263 79,234 84,573 63,181 63,340 64,528 60,298 48,918 2000's 41,195 53,649 57,063 53,569 44,946 36,932 24,785 29,229 46,786 37,811 2010's 28,574 23,791 16,506 14,036 11,222 - = No

  10. U.S. Natural Gas Gross Withdrawals Offshore (Million Cubic Feet)

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

    Gross Withdrawals Offshore (Million Cubic Feet) U.S. Natural Gas Gross Withdrawals Offshore (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 3,932,196 5,111,413 5,603,025 1980's 5,650,097 5,693,432 5,466,050 4,734,843 5,220,061 4,631,756 4,588,565 5,078,178 5,180,875 5,231,028 1990's 5,509,312 5,308,457 5,324,039 5,373,300 5,700,666 5,431,665 5,843,661 5,906,329 5,800,561 5,689,438 2000's 5,699,377 5,815,542 5,312,348 5,215,683 4,736,252

  11. US--Federal Offshore Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Gross Withdrawals (Million Cubic Feet) US--Federal Offshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 3,932,196 4,355,742 4,822,114 1980's 4,902,354 4,990,667 4,772,873 4,182,233 4,706,782 4,185,519 4,185,515 4,671,801 4,746,664 4,771,411 1990's 5,046,660 4,849,657 4,771,744 4,765,865 4,996,197 4,942,089 5,246,422 5,315,514 5,185,312 5,130,746 2000's 5,043,769 5,136,962 4,615,443 4,505,443 4,055,340

  12. US--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Gross Withdrawals (Million Cubic Feet) US--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 755,671 780,911 1980's 747,743 702,765 693,177 552,610 513,279 446,237 403,050 406,377 434,211 459,617 1990's 462,652 458,800 552,294 607,435 704,469 489,576 597,239 590,815 615,249 558,692 2000's 655,609 678,580 696,905 710,240 680,911 684,671 629,652 618,042 653,704 586,953 2010's 575,601 549,151 489,505

  13. Quantification of the Potential Gross Economic Impacts of Five Methane Reduction Scenarios

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

    Quantification of the Potential Gross Economic Impacts of Five Methane Reduction Scenarios David Keyser and Ethan Warner National Renewable Energy Laboratory Christina Curley Colorado State University Technical Report NREL/TP-6A50-63801 April 2015 The Joint Institute for Strategic Energy Analysis is operated by the Alliance for Sustainable Energy, LLC, on behalf of the U.S. Department of Energy's National Renewable Energy Laboratory, the University of Colorado-Boulder, the Colorado School of

  14. Classical and quantum dynamics in an inverse square potential

    SciTech Connect (OSTI)

    Guillaumn-Espaa, Elisa; Nez-Ypez, H. N.; Salas-Brito, A. L.

    2014-10-15

    The classical motion of a particle in a 3D inverse square potential with negative energy, E, is shown to be geodesic, i.e., equivalent to the particle's free motion on a non-compact phase space manifold irrespective of the sign of the coupling constant. We thus establish that all its classical orbits with E < 0 are unbounded. To analyse the corresponding quantum problem, the Schrdinger equation is solved in momentum space. No discrete energy levels exist in the unrenormalized case and the system shows a complete fall-to-the-center with an energy spectrum unbounded by below. Such behavior corresponds to the non-existence of bound classical orbits. The symmetry of the problem is SO(3) SO(2, 1) corroborating previously obtained results.

  15. A Galerkin least squares approach to viscoelastic flow.

    SciTech Connect (OSTI)

    Rao, Rekha R.; Schunk, Peter Randall

    2015-10-01

    A Galerkin/least-squares stabilization technique is applied to a discrete Elastic Viscous Stress Splitting formulation of for viscoelastic flow. From this, a possible viscoelastic stabilization method is proposed. This method is tested with the flow of an Oldroyd-B fluid past a rigid cylinder, where it is found to produce inaccurate drag coefficients. Furthermore, it fails for relatively low Weissenberg number indicating it is not suited for use as a general algorithm. In addition, a decoupled approach is used as a way separating the constitutive equation from the rest of the system. A Pressure Poisson equation is used when the velocity and pressure are sought to be decoupled, but this fails to produce a solution when inflow/outflow boundaries are considered. However, a coupled pressure-velocity equation with a decoupled constitutive equation is successful for the flow past a rigid cylinder and seems to be suitable as a general-use algorithm.

  16. Multi-Axis Foot Reaction Force/Torque Sensor for Biomedical Applications

    Office of Scientific and Technical Information (OSTI)

    (Conference) | SciTech Connect Conference: Multi-Axis Foot Reaction Force/Torque Sensor for Biomedical Applications Citation Details In-Document Search Title: Multi-Axis Foot Reaction Force/Torque Sensor for Biomedical Applications No abstract prepared. Authors: Lind, Randall F [1] ; Love, Lonnie J [1] ; Rowe, John C [1] ; Pin, Francois G [1] + Show Author Affiliations ORNL [ORNL Publication Date: 2009-01-01 OSTI Identifier: 966106 DOE Contract Number: DE-AC05-00OR22725 Resource Type:

  17. Type B Accident Investigation Board Report BNFL, Inc. Employee Foot Injury

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

    on December 17, 2003, at the East Tennessee Technology Park Building K-31 | Department of Energy BNFL, Inc. Employee Foot Injury on December 17, 2003, at the East Tennessee Technology Park Building K-31 Type B Accident Investigation Board Report BNFL, Inc. Employee Foot Injury on December 17, 2003, at the East Tennessee Technology Park Building K-31 February 1, 2004 On December 17, 2003, at approximately 7:15 a.m., an accident occurred at the U.S. Department of Energy (DOE) East Tennessee

  18. ,"Montana Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas Gross Withdrawals and Production",10,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  19. ,"Montana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  20. ,"Nebraska Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Nebraska Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  1. ,"New Mexico Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Gross Withdrawals and Production",10,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  2. ,"New Mexico Natural Gas Gross Withdrawals from Gas Wells (MMcf)"

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

    Gas Wells (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Gross Withdrawals from Gas Wells (MMcf)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  3. ,"New Mexico Natural Gas Gross Withdrawals from Oil Wells (MMcf)"

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

    Oil Wells (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Gross Withdrawals from Oil Wells (MMcf)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  4. ,"New Mexico Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  5. ,"New York Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  6. ,"North Dakota Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Gross Withdrawals and Production",10,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  7. ,"North Dakota Natural Gas Gross Withdrawals from Gas Wells (MMcf)"

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

    Gas Wells (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Gross Withdrawals from Gas Wells (MMcf)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  8. ,"North Dakota Natural Gas Gross Withdrawals from Oil Wells (MMcf)"

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

    Oil Wells (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Gross Withdrawals from Oil Wells (MMcf)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  9. ,"North Dakota Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  10. ,"Ohio Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Natural Gas Gross Withdrawals and Production",10,"Monthly","12/2015","1/15/1991" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  11. ,"Ohio Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  12. ,"Oklahoma Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Natural Gas Gross Withdrawals and Production",10,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  13. ,"Oklahoma Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  14. ,"Oregon Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oregon Natural Gas Gross Withdrawals and Production",10,"Monthly","12/2015","1/15/1991" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  15. ,"Pennsylvania Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas Gross Withdrawals and Production",10,"Monthly","12/2015","1/15/1991" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  16. ,"Pennsylvania Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  17. ,"South Dakota Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Dakota Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  18. ,"Tennessee Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Tennessee Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  19. ,"Texas Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Gross Withdrawals and Production",10,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  20. ,"Texas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  1. ,"U.S. Natural Gas Gross Withdrawals Offshore (MMcf)"

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

    Offshore (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Natural Gas Gross Withdrawals Offshore (MMcf)",1,"Annual",2014 ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File Name:","na1090_nus_2a.xls" ,"Available

  2. ,"Utah Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas Gross Withdrawals and Production",10,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  3. ,"Utah Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  4. ,"Virginia Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Virginia Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  5. ,"West Virginia Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","West Virginia Natural Gas Gross Withdrawals and Production",10,"Monthly","12/2015","1/15/1991" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  6. ,"West Virginia Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","West Virginia Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  7. ,"Wyoming Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  8. ,"Alabama Natural Gas Gross Withdrawals Total Offshore (MMcf)"

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

    Total Offshore (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas Gross Withdrawals Total Offshore (MMcf)",1,"Annual",2014 ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File Name:","na1090_sal_2a.xls"

  9. ,"Alaska Natural Gas Gross Withdrawals Total Offshore (MMcf)"

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

    Total Offshore (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Natural Gas Gross Withdrawals Total Offshore (MMcf)",1,"Annual",2014 ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File Name:","na1090_sak_2a.xls"

  10. ,"California Natural Gas Gross Withdrawals Total Offshore (MMcf)"

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

    Total Offshore (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Gross Withdrawals Total Offshore (MMcf)",1,"Annual",2014 ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File Name:","na1090_sca_2a.xls"

  11. ,"California Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Gross Withdrawals and Production",10,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  12. ,"California Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  13. ,"Colorado Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Gross Withdrawals and Production",10,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  14. ,"Colorado Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  15. ,"Florida Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas Gross Withdrawals and Production",10,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  16. ,"Florida Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  17. ,"Illinois Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas Gross Withdrawals and Production",10,"Monthly","12/2015","1/15/1991" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  18. ,"Illinois Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  19. ,"Indiana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Indiana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  20. ,"Kansas Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Natural Gas Gross Withdrawals and Production",10,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  1. ,"Kansas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  2. ,"Kentucky Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  3. ,"Louisiana Natural Gas Gross Withdrawals Total Offshore (MMcf)"

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

    Total Offshore (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Gross Withdrawals Total Offshore (MMcf)",1,"Annual",2014 ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File Name:","na1090_sla_2a.xls"

  4. ,"Louisiana Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Gross Withdrawals and Production",10,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  5. ,"Louisiana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  6. ,"Maryland Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Maryland Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  7. ,"Michigan Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Gross Withdrawals and Production",10,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  8. ,"Michigan Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  9. ,"Mississippi Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  10. ,"Missouri Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Missouri Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  11. ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"

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

    0 Average Square Footage of Northeast Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Northeast",20.8,2121,1663,921,836,656,363 "Northeast Divisions and

  12. ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"

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

    1 Average Square Footage of Midwest Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Midwest",25.9,2272,1898,1372,912,762,551 "Midwest Divisions and

  13. ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"

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

    2 Average Square Footage of South Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total South",42.1,1867,1637,1549,732,642,607 "South Divisions and

  14. ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"

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

    3 Average Square Footage of West Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total West",24.8,1708,1374,800,628,506,294 "West Divisions and States"

  15. ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"

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

    4 Average Square Footage of Single-Family Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Single-Family",78.6,2422,2002,1522,880,727,553 "Census

  16. ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"

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

    5 Average Square Footage of Multi-Family Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Multi-Family",28.1,930,807,535,453,393,261 "Census Region"

  17. ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"

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

    6 Average Square Footage of Mobile Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Mobile Homes",6.9,1087,985,746,413,375,283 "Census Region"

  18. ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"

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

    9 Average Square Footage of U.S. Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total",113.6,1971,1644,1230,766,639,478 "Census Region"

  19. The high-foot implosion campaign on the National Ignition Facility

    SciTech Connect (OSTI)

    Hurricane, O. A. Callahan, D. A.; Casey, D. T.; Dewald, E. L.; Dittrich, T. R.; Dppner, T.; Barrios Garcia, M. A.; Hinkel, D. E.; Berzak Hopkins, L. F.; Kervin, P.; Pape, S. Le; Ma, T.; MacPhee, A. G.; Milovich, J. L.; Moody, J.; Pak, A. E.; Patel, P. K.; Park, H.-S.; Remington, B. A.; Robey, H. F.; and others

    2014-05-15

    The High-Foot platform manipulates the laser pulse-shape coming from the National Ignition Facility laser to create an indirect drive 3-shock implosion that is significantly more robust against instability growth involving the ablator and also modestly reduces implosion convergence ratio. This strategy gives up on theoretical high-gain in an inertial confinement fusion implosion in order to obtain better control of the implosion and bring experimental performance in-line with calculated performance, yet keeps the absolute capsule performance relatively high. In this paper, we will cover the various experimental and theoretical motivations for the high-foot drive as well as cover the experimental results that have come out of the high-foot experimental campaign. At the time of this writing, the high-foot implosion has demonstrated record total deuterium-tritium yields (9.310{sup 15}) with low levels of inferred mix, excellent agreement with implosion simulations, fuel energy gains exceeding unity, and evidence for the bootstrapping associated with alpha-particle self-heating.

  20. U.S. Nominal Cost per Foot of Crude Oil, Natural Gas, and Dry Wells Drilled

    Gasoline and Diesel Fuel Update (EIA)

    (Dollars per Foot) Oil, Natural Gas, and Dry Wells Drilled (Dollars per Foot) U.S. Nominal Cost per Foot of Crude Oil, Natural Gas, and Dry Wells Drilled (Dollars per Foot) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 13.01 12.85 13.31 12.69 12.86 13.44 14.95 15.97 16.83 17.56 1970's 18.84 19.03 20.76 22.50 28.93 36.99 40.46 46.81 56.63 67.70 1980's 77.02 94.30 108.73 83.34 71.90 75.35 76.88 58.71 70.23 73.55 1990's 76.07 82.64 70.27 75.30 79.49 87.22

  1. Square Grains in Asymmetric Rod-Coil Block Copolymers (Journal Article) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Square Grains in Asymmetric Rod-Coil Block Copolymers Citation Details In-Document Search Title: Square Grains in Asymmetric Rod-Coil Block Copolymers Unlike the rounded grains that are well known to form in most soft materials, square grains of microphase-separated lamellae are observed in thin films of a rod-coil block copolymer because of hierarchical structuring originating from the molecular packing of the rods. The square grains are oriented with lamellar layers

  2. A Brief Review of the Basis for, and the Procedures Currently Utilized in, Gross Gamma-Ray Log Calibration (October 1976)

    Broader source: Energy.gov [DOE]

    A Brief Review of the Basis for, and the Procedures Currently Utilized in, Gross Gamma-Ray Log Calibration (October 1976)

  3. U.S. Total Consumption of Heat Content of Natural Gas (BTU per Cubic Foot)

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

    Consumption of Heat Content of Natural Gas (BTU per Cubic Foot) U.S. Total Consumption of Heat Content of Natural Gas (BTU per 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 1,028 1,026 1,028 1,028 1,027 1,027 1,025 2010's 1,023 1,022 1,024 1,027 1,032 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 02/29/2016 Next Release Date: 03/31/2016 Referring Pages:

  4. Sheet1 Water Availability Metric (Acre-Feet/Yr) Water Cost Metric ($/Acre-Foot)

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

    Sheet1 Water Availability Metric (Acre-Feet/Yr) Water Cost Metric ($/Acre-Foot) Current Water Use (Acre-Feet/Yr) Projected Use in 2030 (Acre-Feet/Yr) HUC_8 STATE BASIN SUBBASIN UNAPPROPRIATED SURFACE WATER METRIC UNAPPROPRIATED GROUNDWATER METRIC APPROPRIATED WATER METRIC BRACKISH GROUNDWATER METRIC WASTEWATER METRIC UNAPPROPRIATED GROUNDWATER COST METRIC APPROPRIATED WATER COST METRIC BRACKISH GROUNDWATER COST METRIC WASTEWATER COST METRIC M&I_2012 AG_2012 ENVIRONMENT 2012 THERMOELECTIC

  5. Interband magneto-spectroscopy in InSb square and parabolic quantum wells

    Office of Scientific and Technical Information (OSTI)

    (Journal Article) | SciTech Connect Interband magneto-spectroscopy in InSb square and parabolic quantum wells Citation Details In-Document Search Title: Interband magneto-spectroscopy in InSb square and parabolic quantum wells We measure the magneto-optical absorption due to intersubband optical transitions between conduction and valence subband Landau levels in InSb square and parabolic quantum wells. InSb has the narrowest band gap (0.24 eV at low temperature) of the III-V semiconductors

  6. New Better Buildings Challenge Partners Commit 70 Million Square Feet, $1.7

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

    Billion | Department of Energy Better Buildings Challenge Partners Commit 70 Million Square Feet, $1.7 Billion New Better Buildings Challenge Partners Commit 70 Million Square Feet, $1.7 Billion January 29, 2015 - 2:40pm Addthis News Media Contact 202-586-4940 DOENews@hq.doe.gov New Better Buildings Challenge Partners Commit 70 Million Square Feet, $1.7 Billion WASHINGTON - Building on President Obama's Climate Action Plan, the Energy Department announced today that more than 20 new partners

  7. Squaring the Circle in Biofuels? | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Squaring the Circle in Biofuels? Energy Frontier Research Centers (EFRCs) EFRCs Home Centers Research Science Highlights News & Events EFRC News EFRC Events DOE Announcements Publications History Contact BES Home 04.30.14 Squaring the Circle in Biofuels? Print Text Size: A A A Subscribe FeedbackShare Page Researchers produce a new type of plant fiber that supports normal growth while easing the difficulties of conversion to fuel. This work, featured in the Office of Science's Stories of

  8. Magnetic vortex crystal formation in the antidot complement of square artificial spin ice

    SciTech Connect (OSTI)

    Araujo, C. I. L. de Silva, R. C.; Ribeiro, I. R. B.; Nascimento, F. S.; Felix, J. F.; Ferreira, S. O.; Moura-Melo, W. A.; Pereira, A. R.; Ml, L. A. S.

    2014-03-03

    We have studied ferromagnetic nickel thin films patterned with square lattices of elongated antidots that are negative analogues of square artificial spin ice. Micromagnetic simulations and direct current magnetic moment measurements reveal in-plane anisotropy of the magnetic hysteresis loops, and the formation of a dense array of magnetic vortices with random polarization and chirality. These multiply-connected antidot arrays could be superior to lattices of disconnected nanodisks for investigations of vortex switching by applied electric current.

  9. Better Buildings Challenge to Cut Energy Waste Grows by 1 Billion Square

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

    Feet | Department of Energy Buildings Challenge to Cut Energy Waste Grows by 1 Billion Square Feet Better Buildings Challenge to Cut Energy Waste Grows by 1 Billion Square Feet May 9, 2014 - 11:01am Addthis NEWS MEDIA CONTACT (202) 586-4940 WASHINGTON - Building on President Obama's Climate Action Plan and the Administration's Better Buildings Challenge, the Energy Department announced today that Better Buildings Challenge partners are on track to meet their energy performance goals in their

  10. Three-Dimensional Rotational Angiography of the Foot in Critical Limb Ischemia: A New Dimension in Revascularization Strategy

    SciTech Connect (OSTI)

    Jens, Sjoerd; Lucatelli, Pierleone; Koelemay, Mark J. W.; Marquering, Henk A. Reekers, Jim A.

    2013-06-15

    Purpose. To evaluate the additional value of three-dimensional rotational angiography (3DRA) of the foot compared with digital subtraction angiography (DSA) in patients with critical limb ischemia (CLI). Technique. For 3DRA, the C-arm was placed in the propeller position with the foot in an isocentric position. The patient's unaffected foot was positioned in a footrest outside the field of view. For correct timing of 3DRA, the delay from contrast injection in the popliteal artery at the level of knee joint to complete pedal arterial enhancement was assessed using DSA. With this delay, 3DRA was started after injection of 15 ml contrast. Imaging of the 3DRA could directly be reconstructed and visualized.Materials and MethodsPatients undergoing 3DRA of the foot were prospectively registered. DSA and 3DRA images were scored separately for arterial patency and presence of collaterals. Treatment strategies were proposed based on DSA with and without the availability of 3DRA. Results. Eleven patients underwent 3DRA of the foot. One 3DRA was not included because the acquisition was focused on the heel instead of the entire foot. Diagnostic quality of 3DRA was good in all ten patients. 3DRA compared with DSA showed additional patent arteries in six patients, patent plantar arch in three patients, and collaterals between the pedal arteries in five patients. Additional information from 3DRA resulted in a change of treatment strategy in six patients. Conclusion, 3DRA of the foot contains valuable additional real-time information to better guide peripheral vascular interventions in patients with CLI and nonhealing tissue lesions.

  11. Failure of the gross theory of beta decay in neutron deficient nuclei

    SciTech Connect (OSTI)

    Firestone, R. B.; Schwengner, R.; Zuber, K.

    2015-05-28

    The neutron deficient isotopes 117-121Xe, 117-124Cs, and 122-124Ba were produced by a beam of 28Si from the LBNL SuperHILAC on a target of natMo. The isotopes were mass separated and their beta decay schemes were measured with a Total Absorption Spectrometer (TAS). The beta strengths derived from these data decreased dramatically to levels above ?1 MeV for the even-even decays; 34 MeV for even-Z, odd-N decays; 45 MeV for the odd-Z, even-N decays; and 78 MeV for the odd-Z, odd-N decays. The decreasing strength to higher excitation energies in the daughters contradicts the predictions of the Gross Theory of Beta Decay. The integrated beta strengths are instead found to be consistent with shell model predictions where the single-particle beta strengths are divided amoung many low-lying levels. The experimental beta strengths determined here have been used calculate the half-lives of 143 neutron deficient nuclei with Z=5164 to a precision of 20% with respect to the measured values.

  12. Weak decay processes in pre-supernova core evolution within the gross theory

    SciTech Connect (OSTI)

    Ferreira, R. C.; Dimarco, A. J.; Samana, A. R.; Barbero, C. A.

    2014-03-20

    The beta decay and electron capture rates are of fundamental importance in the evolution of massive stars in a pre-supernova core. The beta decay process gives its contribution by emitting electrons in the plasma of the stellar core, thereby increasing pressure, which in turn increases the temperature. From the other side, the electron capture removes free electrons from the plasma of the star core contributing to the reduction of pressure and temperature. In this work we calculate the beta decay and electron capture rates in stellar conditions for 63 nuclei of relevance in the pre-supernova stage, employing Gross Theory as the nuclear model. We use the abundances calculated with the Saha equations in the hypothesis of nuclear statistical equilibrium to evaluate the time derivative of the fraction of electrons. Our results are compared with other evaluations available in the literature. They have shown to be one order less or equal than the calculated within other models. Our results indicate that these differences may influence the evolution of the star in the later stages of pre-supernova.

  13. Table 2. Real Gross Domestic Product Growth Trends, Projected vs. Actual

    Gasoline and Diesel Fuel Update (EIA)

    Real Gross Domestic Product Growth Trends, Projected vs. Actual Projected Real GDP Growth Trend (cumulative average percent growth in projected real GDP from first year shown for each AEO) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 3.09 3.15 2.86 2.78 2.73 2.65 2.62 2.60 2.56 2.53 2.52 2.49 2.45 2.41 2.40 2.36 2.32 2.29 AEO 1995 3.66 2.77 2.53 2.71 2.67 2.61 2.55 2.48 2.46 2.45 2.45 2.43 2.39 2.35 2.31 2.27 2.24 AEO 1996 2.61

  14. Other States Natural Gas Gross Withdrawals from Gas Wells (Million Cubic

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

    Feet) Gas Wells (Million Cubic Feet) Other States Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 72,328 63,451 67,732 63,118 62,276 59,557 61,217 60,722 59,142 65,119 67,627 70,643 1992 66,374 62,007 65,284 63,487 63,488 60,701 62,949 63,036 61,442 66,259 65,974 68,514 1993 66,943 61,161 64,007 60,709 61,964 63,278 60,746 62,204 59,969 64,103 63,410 70,929 1994 65,551 60,458 63,396 60,438 60,965 61,963 60,675 62,160

  15. Other States Natural Gas Gross Withdrawals from Shale Gas (Million Cubic

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

    Feet) Shale Gas (Million Cubic Feet) Other States Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 13,204 11,926 13,204 12,778 13,204 12,778 13,204 13,204 12,778 13,204 12,778 13,204 2008 12,755 11,932 12,755 12,343 12,755 12,343 12,755 12,755 12,343 12,755 12,343 12,755 2009 12,222 11,039 12,222 11,827 12,222 11,827 12,222 12,222 11,827 12,222 11,827 12,222 2010 11,842 10,659 11,705 11,180 11,541 11,189 11,357 11,589

  16. Failure of the gross theory of beta decay in neutron deficient nuclei

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Firestone, R. B.; Schwengner, R.; Zuber, K.

    2015-05-28

    The neutron deficient isotopes 117-121Xe, 117-124Cs, and 122-124Ba were produced by a beam of 28Si from the LBNL SuperHILAC on a target of natMo. The isotopes were mass separated and their beta decay schemes were measured with a Total Absorption Spectrometer (TAS). The beta strengths derived from these data decreased dramatically to levels above ≈1 MeV for the even-even decays; 3–4 MeV for even-Z, odd-N decays; 4–5 MeV for the odd-Z, even-N decays; and 7–8 MeV for the odd-Z, odd-N decays. The decreasing strength to higher excitation energies in the daughters contradicts the predictions of the Gross Theory of Betamore » Decay. The integrated beta strengths are instead found to be consistent with shell model predictions where the single-particle beta strengths are divided amoung many low-lying levels. The experimental beta strengths determined here have been used calculate the half-lives of 143 neutron deficient nuclei with Z=51–64 to a precision of 20% with respect to the measured values.« less

  17. Foot Drop after Ethanol Embolization of Calf Vascular Malformation: A Lesson on Nerve Injury

    SciTech Connect (OSTI)

    Tay, Vincent Khwee-Soon; Mohan, P. Chandra; Liew, Wendy Kein Meng; Mahadev, Arjandas; Tay, Kiang Hiong

    2013-08-01

    Ethanol is often used in sclerotherapy to treat vascular malformations. Nerve injury is a known complication of this procedure. However, the management of this complication is not well described in literature. This case describes a 10-year-old boy with a slow flow vascular malformation in the right calf who underwent transarterial ethanol embolization following prior unsuccessful direct percutaneous sclerotherapy. The development of a dense foot drop that subsequently recovered is described, and the management of this uncommon but distressful complication is discussed.

  18. Multiplexed Molecular Assays for Rapid Rule-Out of Foot-and-Mouth Disease

    SciTech Connect (OSTI)

    Lenhoff, R; Naraghi-Arani, P; Thissen, J; Olivas, J; Carillo, C; Chinn, C; Rasmussen, M; Messenger, S; Suer, L; Smith, S M; Tammero, L; Vitalis, E; Slezak, T R; Hullinger, P J; Hindson, B J; Hietala, S; Crossley, B; Mcbride, M

    2007-06-26

    A nucleic acid-based multiplexed assay was developed that combines detection of foot-and-mouth disease virus (FMDV) with rule-out assays for two other foreign animal diseases and four domestic animal diseases that cause vesicular or ulcerative lesions indistinguishable from FMDV infection in cattle, sheep and swine. The FMDV 'look-alike' diagnostic assay panel contains five PCR and twelve reverse transcriptase PCR (RT-PCR) signatures for a total of seventeen simultaneous PCR amplifications for seven diseases plus incorporating four internal assay controls. It was developed and optimized to amplify both DNA and RNA viruses simultaneously in a single tube and employs Luminex{trademark} liquid array technology. Assay development including selection of appropriate controls, a comparison of signature performance in single and multiplex testing against target nucleic acids, as well of limits of detection for each of the individual signatures is presented. While this assay is a prototype and by no means a comprehensive test for FMDV 'look-alike' viruses, an assay of this type is envisioned to have benefit to a laboratory network in routine surveillance and possibly for post-outbreak proof of freedom from foot-and-mouth disease.

  19. Simulation of gross and net erosion of high-Z materials in the DIII-D divertor

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Wampler, William R.; Ding, R.; Stangeby, P. C.; Elder, J. D.; Tskhakaya, D.; Kirschner, A.; Guo, H. Y.; Chan, V. S.; McLean, A. G.; Snyder, P. B.; et al

    2015-12-17

    The three-dimensional Monte Carlo code ERO has been used to simulate dedicated DIII-D experiments in which Mo and W samples with different sizes were exposed to controlled and well-diagnosed divertor plasma conditions to measure the gross and net erosion rates. Experimentally, the net erosion rate is significantly reduced due to the high local redeposition probability of eroded high-Z materials, which according to the modelling is mainly controlled by the electric field and plasma density within the Chodura sheath. Similar redeposition ratios were obtained from ERO modelling with three different sheath models for small angles between the magnetic field and themore » material surface, mainly because of their similar mean ionization lengths. The modelled redeposition ratios are close to the measured value. Decreasing the potential drop across the sheath can suppress both gross and net erosion because sputtering yield is decreased due to lower incident energy while the redeposition ratio is not reduced owing to the higher electron density in the Chodura sheath. Taking into account material mixing in the ERO surface model, the net erosion rate of high-Z materials is shown to be strongly dependent on the carbon impurity concentration in the background plasma; higher carbon concentration can suppress net erosion. As a result, the principal experimental results such as net erosion rate and profile and redeposition ratio are well reproduced by the ERO simulations.« less

  20. Non-perturbative and self-consistent models of neutron stars in R-squared gravity

    SciTech Connect (OSTI)

    Yazadjiev, Stoytcho S.; Doneva, Daniela D.; Kokkotas, Kostas D.; Staykov, Kalin V. E-mail: daniela.doneva@uni-tuebingen.de E-mail: kalin.v.staikov@gmail.com

    2014-06-01

    In the present paper we investigate non-perturbatively and self-consistently the structure of neutron stars in R-squared gravity by simultaneously solving the interior and exterior problem. The mass-radius relations are obtained for several equations of state and for wide range of the R-squared gravity parameter a. Even though the deviation from general relativity for nonzero values of a can be large, they are still comparable with the variations due to different modern realistic equations of state. That is why the current observations of the neutron star masses and radii alone can not put constraints on the value of the parameter a. We also compare our results with those obtained within the perturbative method and we discuss the differences between them.

  1. Ballistic electrons in an open square geometry: Selective probing of resonant-energy states

    SciTech Connect (OSTI)

    Zozoulenko, I.V.; Schuster, R.; Berggren, K.-.; Ensslin, K.

    1997-04-01

    We report on the interplay between classical trajectories and quantum-mechanical effects in a square geometry. At low magnetic fields the four-terminal resistance is dominated by phenomena that depend on ballistic trajectories in a classical billiard. Superimposed on these classical effects are quantum interference effects manifested by highly periodic conductance oscillations. Numerical analysis shows that these oscillations are directly related to excitations of particular eigenstates in the square. In spite of open leads, transport through an open cavity is effectively mediated by just a few (or even a single) resonant-energy states. The leads injecting electrons into the cavity play a decisive role in a selection of the particular set of states excited in the dot. The above selection rule sets a specific frequency of the oscillations seen in the experiment. {copyright} {ital 1997} {ital The American Physical Society}

  2. Method for exploiting bias in factor analysis using constrained alternating least squares algorithms

    DOE Patents [OSTI]

    Keenan, Michael R. (Albuquerque, NM)

    2008-12-30

    Bias plays an important role in factor analysis and is often implicitly made use of, for example, to constrain solutions to factors that conform to physical reality. However, when components are collinear, a large range of solutions may exist that satisfy the basic constraints and fit the data equally well. In such cases, the introduction of mathematical bias through the application of constraints may select solutions that are less than optimal. The biased alternating least squares algorithm of the present invention can offset mathematical bias introduced by constraints in the standard alternating least squares analysis to achieve factor solutions that are most consistent with physical reality. In addition, these methods can be used to explicitly exploit bias to provide alternative views and provide additional insights into spectral data sets.

  3. Fast Combinatorial Algorithm for the Solution of Linearly Constrained Least Squares Problems

    DOE Patents [OSTI]

    Van Benthem, Mark H.; Keenan, Michael R.

    2008-11-11

    A fast combinatorial algorithm can significantly reduce the computational burden when solving general equality and inequality constrained least squares problems with large numbers of observation vectors. The combinatorial algorithm provides a mathematically rigorous solution and operates at great speed by reorganizing the calculations to take advantage of the combinatorial nature of the problems to be solved. The combinatorial algorithm exploits the structure that exists in large-scale problems in order to minimize the number of arithmetic operations required to obtain a solution.

  4. High-Frequency Matrix Converter with Square Wave Input - Energy Innovation

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

    Portal Solar Photovoltaic Solar Photovoltaic Geothermal Geothermal Energy Storage Energy Storage Electricity Transmission Electricity Transmission Find More Like This Return to Search High-Frequency Matrix Converter with Square Wave Input DOE Grant Recipients Contact GRANT About This Technology Publications: PDF Document Publication 8995159.pdf (1,648 KB) Technology Marketing Summary As the use of renewable energy sources increase, there is an increasing need for power converters capable of

  5. ABSTRACT: Bioenergy Harvesting Technologies to Supply Crop Residues In a Densified Large Square Bale Format

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

    Integration of Advanced Logistical Systems and Focused Bioenergy Harvesting Technologies to Supply Crop Residues and Energy Crops in a Densified Large Square Bale Format OBP WBS: 1.2.1.4 Principal Investigator: Maynard Herron Co-Principal Investigator: Bob Matousek Performing Organization: AGCO Sub-Recipients: INL, Stinger Inc., OSU, ISU, TAMU, Noble Foundation Project objectives support the adoption and production goals of the Office of Biomass Programs for feedstock adoption and cost

  6. DOE's Disposition of Excess Real Property Status of Banked Square Feet

    Office of Environmental Management (EM)

    FY 2014 Report on DOE's Disposition of Excess Real Property Status of Banked Square Feet for Future One-for-One Offsets Office of Acquisition and Project Management January 2015 DOE REPORT ON THE ELIMINATION OF EXCESS FACILITIES Background The Conference Report (Rpt. 107-258) accompanying the FY 2002 Energy and Water Development Appropriations Act directed the Department to develop an excess facility elimination report to be submitted as part of the Congressional budget. To implement the program

  7. Interband magneto-spectroscopy in InSb square and parabolic quantum wells

    SciTech Connect (OSTI)

    Kasturiarachchi, T.; Edirisooriya, M.; Mishima, T. D.; Doezema, R. E.; Santos, M. B.; Saha, D.; Pan, X.; Sanders, G. D.; Stanton, C. J.

    2015-06-07

    We measure the magneto-optical absorption due to intersubband optical transitions between conduction and valence subband Landau levels in InSb square and parabolic quantum wells. InSb has the narrowest band gap (0.24 eV at low temperature) of the III–V semiconductors leading to a small effective mass (0.014 m{sub 0}) and a large g–factor (−51). As a result, the Landau level spacing is large at relatively small magnetic fields (<8 T), and one can observe spin-splitting of the Landau levels. We examine two structures: (i) a multiple-square-well structure and (ii) a structure containing multiple parabolic wells. The energies and intensities of the strongest features are well explained by a modified Pidgeon-Brown model based on an 8-band k•p model that explicitly incorporates pseudomorphic strain. The strain is essential for obtaining agreement between theory and experiment. While modeling the square well is relatively straight-forward, the parabolic well consists of 43 different layers of various thickness to approximate a parabolic potential. Agreement between theory and experiment for the parabolic well validates the applicability of the model to complicated structures, which demonstrates the robustness of our model and confirms its relevance for developing electronic and spintronic devices that seek to exploit the properties of the InSb band structure.

  8. Simulation and analysis of the plutonium shipping container subject to 30-foot drops

    SciTech Connect (OSTI)

    Gong, C.; Gupta, N.K.; Gromada, R.J.

    1995-12-31

    The shipping container 5320 is a shipping package for radioactive materials. In order to maintain the component in this packaging within the sub-critical state when subjected to any kind of Hypothetical Accident conditions (HAC), this Type B packaging is designed with various impact limiters. The present study is to examine the energy absorbing capacity of the impact limiter design of this container subjected to a 30-foot drop onto a flat unyielding horizontal surface in each of the three critical dropping orientations. This paper presents the results of a three dimensional nonlinear dynamic impact analysis. This analysis shows the deformed configuration of the container caused by the impact and also determines the effects of different stress wave paths in three distinct drops on the stress states in the critical component. The solution to the problem was obtained using the ABAQUS (explicit) finite element computer code. The nonlinearity of this analysis involves large structural deformation, elasto-plastic materials with strain hardening as well as multiple contact interfaces. Three drop orientations were studied, namely, top down impact, bottom down impact and side impact. Results will be compared against actual drop test data.

  9. Condition Assessment Survey (CAS) Program. Deficiency standards and inspections methods manual: Volume 1, 0.01 Foundations and footings

    SciTech Connect (OSTI)

    Not Available

    1993-05-01

    General information is presented for asset determinant factor/CAS repair codes/CAS cost factors; guide sheet tool & material listing; testing methods; inspection frequency; standard system design life tables; system work breakdown structure; and general system/material data. Deficiency standards and inspection methods are given for footings - spread/strip/grade beams; foundation walls; foundation dampproofing/waterproofing; excavation/backfill/ and piles & caissons.

  10. c21.xls

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

    per Building (gallons) per Square Foot (gallons) per Worker (gallons) per Building (thousand dollars) per Square Foot (dollars) per Gallon (dollars) All Buildings...

  11. C16DIV.xls

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

    cubic feet) per Square Foot (cubic feet) per Worker (thousand cubic feet) per Building (thousand dollars) per Square Foot (dollars) per Thousand Cubic Feet (dollars) NEW...

  12. c25.xls

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

    per Building (million Btu) per Square Foot (thousand Btu) per Worker (million Btu) per Building (thousand dollars) per Square Foot (dollars) per Thousand Pounds (dollars) All...

  13. c26.xls

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

    Btu) per Square Foot (thousand Btu) per Worker (million Btu) per Building (thousand dollars) per Square Foot (dollars) per Thousand Pounds (dollars) All Buildings...

  14. New self-assembly luminescent molecular triangle and square rhenium(I) complexes

    SciTech Connect (OSTI)

    Sun, S.S.; Lees, A.J.

    1999-09-20

    The design and study of well-arranged metal-containing macrocycles is one of the major current research areas in modern supramolecular chemistry. Apart from their particular structural features, supramolecular species formed by self-assembly of transition metals introduce many special functional properties such as luminescence, redox activity, and magnetism into the structure. More recently, transition metal based molecular squares have been synthesized by utilizing self-assembly of preorganized metal centers and pyridine-based bridging ligands. The 90{degree} bonding angles between ligands in transition metal complexes provide an attractive feature for constructing macrocyclic structures.

  15. The effect of interelement dipole coupling in patterned ultrathin single crystal Fe square arrays

    SciTech Connect (OSTI)

    Sun Li; Zhai Ya; Wong Pingkwanj; Zhang Wen; Xu Yongbing; Zou Xiao; Wu Jing; Luo Linqiang; Zhai Hongru

    2011-02-01

    The correlation between the magnetic properties and the interelement separation in patterned arrays of ultrathin single crystal Fe films of 12 monolayers (ML) grown on GaAs(100) has been studied. The critical condition to form single domain remanent states in the square elements was found to be 10 {mu}m in size and 20 {mu}m for the interelement separation. The coercivity was also found to increase with the increasing interelement separation in the patterned arrays. These results are attributed to the competition between the large in-plane uniaxial anisotropy, the demagnetizing field, and interelement dipole coupling as determined semiqualitatively by the ferromagnetic resonance measurements.

  16. Review of the Palisades pressure vessel accumulated fluence estimate and of the least squares methodology employed

    SciTech Connect (OSTI)

    Griffin, P.J.

    1998-05-01

    This report provides a review of the Palisades submittal to the Nuclear Regulatory Commission requesting endorsement of their accumulated neutron fluence estimates based on a least squares adjustment methodology. This review highlights some minor issues in the applied methodology and provides some recommendations for future work. The overall conclusion is that the Palisades fluence estimation methodology provides a reasonable approach to a {open_quotes}best estimate{close_quotes} of the accumulated pressure vessel neutron fluence and is consistent with the state-of-the-art analysis as detailed in community consensus ASTM standards.

  17. Buildings Energy Data Book [EERE]

    3 Federal Building Delivered Energy Consumption Intensities, by Year (1) Consumption per Gross Consumption per Gross Year Square Foot (10^3 Btu/SF) Year Square Foot (10^3 Btu/SF) FY 1985 123.0 FY 1997 111.9 FY 1986 131.3 FY 1998 107.7 FY 1987 136.9 FY 1999 106.7 FY 1988 136.3 FY 2000 104.8 FY 1989 132.6 FY 2001 105.9 FY 1990 128.6 FY 2002 104.6 FY 1991 122.9 FY 2003 105.2 FY 1992 125.5 FY 2004 104.9 FY 1993 122.3 FY 2005 98.2 FY 1994 120.2 FY 2006 (2) 113.9 FY 1995 117.3 FY 2007 (3) 112.9 FY

  18. Self-assembly molecular squares with metal complexes as bridging ligands

    SciTech Connect (OSTI)

    Sun, S.S.; Silva, A.S.; Brinn, I.M.; Lees, A.J.

    2000-04-03

    Polynuclear transition metal complexes containing multichromophoric units, such as metal polypyridyl complexes, are of considerable current interest. Much attention has been paid to the synthesis of multicomponent systems that exhibit photoinduced intercomponent electron and/or energy-transfer processes and to their potential applications for photonic and electronic devices. Systems incorporating Re(I)- Ru(II)-, and Os(II)-based polypyridyl chromophores are the most commonly studied because of their favorable redox and spectroscopic characteristics. In this communication, the authors combine the concepts of self-assembly and complexes as ligands and report the preparation of a series of molecular squares with the general molecular formula [fac-Br(CO){sub 3}Re({mu}-(pyterpy){sub 2}M)]{sub 4}(PF{sub 6}){sub 8}, where pyterpy is 4{prime}-(4{prime}{double_prime}-pyridyl)-2,2{prime}:6{prime}2{double_prime}-terpyridine and M = Fe, Ru, or Os. The spectroscopic properties and a preliminary anion binding study of these novel octanuclear molecular squares are also presented.

  19. Differentially-charged and sequentially-switched square-wave pulse forming network

    DOE Patents [OSTI]

    North, George G. [Stockton, CA; Vogilin, George E. [Livermore, CA

    1980-04-01

    A pulse forming network for delivering a high-energy square-wave pulse to a load, including a series of inductive-capacitive sections wherein the capacitors are differentially charged higher further from the load. Each charged capacitor is isolated from adjacent sections and the load by means of a normally open switch at the output of each section. The switch between the load and the closest section to the load is closed to begin discharge of the capacitor in that section into the load. During discharge of each capacitor, the voltage thereacross falls to a predetermined potential with respect to the potential across the capacitor in the next adjacent section further from the load. When this potential is reached, it is used to close the switch in the adjacent section further from the load and thereby apply the charge in that section to the load through the adjacent section toward the load. Each successive section further from the load is sequentially switched in this manner to continuously and evenly supply energy to the load over the period of the pulse, with the differentially charged capacitors providing higher potentials away from the load to compensate for the voltage drop across the resistance of each inductor. This arrangement is low in cost and yet provides a high-energy pulse in an acceptable square-wave form.

  20. Differentially-charged and sequentially-switched square-wave pulse forming network

    DOE Patents [OSTI]

    North, G.G.; Vogilin, G.E.

    1980-04-01

    Disclosed is a pulse forming network for delivering a high-energy square-wave pulse to a load, including a series of inductive-capacitive sections wherein the capacitors are differentially charged higher further from the load. Each charged capacitor is isolated from adjacent sections and the load by means of a normally open switch at the output of each section. The switch between the load and the closest section to the load is closed to begin discharge of the capacitor in that section into the load. During discharge of each capacitor, the voltage thereacross falls to a predetermined potential with respect to the potential across the capacitor in the next adjacent section further from the load. When this potential is reached, it is used to close the switch in the adjacent section further from the load and thereby apply the charge in that section to the load through the adjacent section toward the load. Each successive section further from the load is sequentially switched in this manner to continuously and evenly supply energy to the load over the period of the pulse, with the differentially charged capacitors providing higher potentials away from the load to compensate for the voltage drop across the resistance of each inductor. This arrangement is low in cost and yet provides a high-energy pulse in an acceptable square-wave form. 5 figs.

  1. Chapter 12, Survey Design and Implementation Cross-Cutting Protocols for Estimating Gross Savings: The Uniform Methods Project: Methods for Determining Energy Efficiency Savings for Specific Measures

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

    12: Survey Design and Implementation Cross-Cutting Protocols for Estimating Gross Savings Robert Baumgartner, Tetra Tech Subcontract Report NREL/SR-7A30-53827 April 2013 The Uniform Methods Project: Methods for Determining Energy Efficiency Savings for Specific Measures 12 - 1 Chapter 12 - Table of Contents 1 Introduction ............................................................................................................................ 2 2 The Total Survey Error Framework

  2. P.L. 100-615, "Federal Energy Management Improvement Act" (1988)

    SciTech Connect (OSTI)

    2011-12-13

    Requires agencies to improve construction designs for Federal buildings so that the energy consumption per gross square foot in use during FY 1995 is at least ten percent less than that of FY 1985. Sets forth implementation steps to meet such goal. Exempts from such requirement buildings in which energy intensive activities are implemented. Redescribes procedures involved in the establishment and use of life cycle cost methods for Federal buildings.

  3. Optical pattern recognition architecture implementing the mean-square error correlation algorithm

    DOE Patents [OSTI]

    Molley, Perry A.

    1991-01-01

    An optical architecture implementing the mean-square error correlation algorithm, MSE=.SIGMA.[I-R].sup.2 for discriminating the presence of a reference image R in an input image scene I by computing the mean-square-error between a time-varying reference image signal s.sub.1 (t) and a time-varying input image signal s.sub.2 (t) includes a laser diode light source which is temporally modulated by a double-sideband suppressed-carrier source modulation signal I.sub.1 (t) having the form I.sub.1 (t)=A.sub.1 [1+.sqroot.2m.sub.1 s.sub.1 (t)cos (2.pi.f.sub.o t)] and the modulated light output from the laser diode source is diffracted by an acousto-optic deflector. The resultant intensity of the +1 diffracted order from the acousto-optic device is given by: I.sub.2 (t)=A.sub.2 [+2m.sub.2.sup.2 s.sub.2.sup.2 (t)-2.sqroot.2m.sub.2 (t) cos (2.pi.f.sub.o t] The time integration of the two signals I.sub.1 (t) and I.sub.2 (t) on the CCD deflector plane produces the result R(.tau.) of the mean-square error having the form: R(.tau.)=A.sub.1 A.sub.2 {[T]+[2m.sub.2.sup.2.multidot..intg.s.sub.2.sup.2 (t-.tau.)dt]-[2m.sub.1 m.sub.2 cos (2.tau.f.sub.o .tau.).multidot..intg.s.sub.1 (t)s.sub.2 (t-.tau.)dt]} where: s.sub.1 (t) is the signal input to the diode modulation source: s.sub.2 (t) is the signal input to the AOD modulation source; A.sub.1 is the light intensity; A.sub.2 is the diffraction efficiency; m.sub.1 and m.sub.2 are constants that determine the signal-to-bias ratio; f.sub.o is the frequency offset between the oscillator at f.sub.c and the modulation at f.sub.c +f.sub.o ; and a.sub.o and a.sub.1 are constant chosen to bias the diode source and the acousto-optic deflector into their respective linear operating regions so that the diode source exhibits a linear intensity characteristic and the AOD exhibits a linear amplitude characteristic.

  4. Multivariate analysis of remote LIBS spectra using partial least squares, principal component analysis, and related techniques

    SciTech Connect (OSTI)

    Clegg, Samuel M; Barefield, James E; Wiens, Roger C; Sklute, Elizabeth; Dyare, Melinda D

    2008-01-01

    Quantitative analysis with LIBS traditionally employs calibration curves that are complicated by the chemical matrix effects. These chemical matrix effects influence the LIBS plasma and the ratio of elemental composition to elemental emission line intensity. Consequently, LIBS calibration typically requires a priori knowledge of the unknown, in order for a series of calibration standards similar to the unknown to be employed. In this paper, three new Multivariate Analysis (MV A) techniques are employed to analyze the LIBS spectra of 18 disparate igneous and highly-metamorphosed rock samples. Partial Least Squares (PLS) analysis is used to generate a calibration model from which unknown samples can be analyzed. Principal Components Analysis (PCA) and Soft Independent Modeling of Class Analogy (SIMCA) are employed to generate a model and predict the rock type of the samples. These MV A techniques appear to exploit the matrix effects associated with the chemistries of these 18 samples.

  5. Direct numerical simulation of turbulent flow in a rotating square duct

    SciTech Connect (OSTI)

    Dai, Yi-Jun; Huang, Wei-Xi Xu, Chun-Xiao; Cui, Gui-Xiang

    2015-06-15

    A fully developed turbulent flow in a rotating straight square duct is simulated by direct numerical simulations at Re{sub ?} = 300 and 0 ? Ro{sub ?} ? 40. The rotating axis is parallel to two opposite walls of the duct and normal to the main flow. Variations of the turbulence statistics with the rotation rate are presented, and a comparison with the rotating turbulent channel flow is discussed. Rich secondary flow patterns in the cross section are observed by varying the rotation rate. The appearance of a pair of additional vortices above the pressure wall is carefully examined, and the underlying mechanism is explained according to the budget analysis of the mean momentum equations.

  6. Spin-dependent Seebeck effects in a graphene nanoribbon coupled to two square lattice ferromagnetic leads

    SciTech Connect (OSTI)

    Zhou, Benhu Zeng, Yangsu; Zhou, Benliang; Zhou, Guanghui; Ouyang, Tao

    2015-03-14

    We theoretically investigate spin-dependent Seebeck effects for a system consisting of a narrow graphene nanoribbon (GNR) contacted to square lattice ferromagnetic (FM) electrodes with noncollinear magnetic moments. Both zigzag-edge graphene nanoribbons (ZGNRs) and armchair-edge graphene nanoribbons (AGNRs) were considered. Compared with our previous work with two-dimensional honeycomb-lattice FM leads, a more realistic model of two-dimensional square-lattice FM electrodes is adopted here. Using the nonequilibrium Green's function method combining with the tight-binding Hamiltonian, it is demonstrated that both the charge Seebeck coefficient S{sub C} and the spin-dependent Seebeck coefficient S{sub S} strongly depend on the geometrical contact between the GNR and the leads. In our previous work, S{sub C} for a semiconducting 15-AGNR system near the Dirac point is two orders of magnitude larger than that of a metallic 17-AGNR system. However, S{sub C} is the same order of magnitude for both metallic 17-AGNR and semiconducting 15-AGNR systems in the present paper because of the lack of a transmission energy gap for the 15-AGNR system. Furthermore, the spin-dependent Seebeck coefficient S{sub S} for the systems with 20-ZGNR, 17-AGNR, and 15-AGNR is of the same order of magnitude and its maximum absolute value can reach 8 μV/K. The spin-dependent Seebeck effects are not very pronounced because the transmission coefficient weakly depends on spin orientation. Moreover, the spin-dependent Seebeck coefficient is further suppressed with increasing angle between the relative alignments of magnetization directions of the two leads. Additionally, the spin-dependent Seebeck coefficient can be strongly suppressed for larger disorder strength. The results obtained here may provide valuable theoretical guidance in the experimental design of heat spintronic devices.

  7. Sensitivity of Global Terrestrial Gross Primary Production to Hydrologic States Simulated by the Community Land Model Using Two Runoff Parameterizations

    SciTech Connect (OSTI)

    Lei, Huimin; Huang, Maoyi; Leung, Lai-Yung R.; Yang, Dawen; Shi, Xiaoying; Mao, Jiafu; Hayes, Daniel J.; Schwalm, C.; Wei, Yaxing; Liu, Shishi

    2014-09-01

    The terrestrial water and carbon cycles interact strongly at various spatio-temporal scales. To elucidate how hydrologic processes may influence carbon cycle processes, differences in terrestrial carbon cycle simulations induced by structural differences in two runoff generation schemes were investigated using the Community Land Model 4 (CLM4). Simulations were performed with runoff generation using the default TOPMODEL-based and the Variable Infiltration Capacity (VIC) model approaches under the same experimental protocol. The comparisons showed that differences in the simulated gross primary production (GPP) are mainly attributed to differences in the simulated leaf area index (LAI) rather than soil moisture availability. More specifically, differences in runoff simulations can influence LAI through changes in soil moisture, soil temperature, and their seasonality that affect the onset of the growing season and the subsequent dynamic feedbacks between terrestrial water, energy, and carbon cycles. As a result of a relative difference of 36% in global mean total runoff between the two models and subsequent changes in soil moisture, soil temperature, and LAI, the simulated global mean GPP differs by 20.4%. However, the relative difference in the global mean net ecosystem exchange between the two models is small (2.1%) due to competing effects on total mean ecosystem respiration and other fluxes, although large regional differences can still be found. Our study highlights the significant interactions among the water, energy, and carbon cycles and the need for reducing uncertainty in the hydrologic parameterization of land surface models to better constrain carbon cycle modeling.

  8. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    square feet) Total (million dollars) per Building (thousand dollars) per Square Foot (dollars) per Million Btu (dollars) All Buildings ......

  9. Higher velocity, high-foot implosions on the National Ignition Facility laser

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Callahan, D. A.; Hurricane, O. A.; Hinkel, D. E.; Döppner, T.; Ma, T.; Park, H. -S.; Barrios Garcia, M. A.; Berzak Hopkins, L. F.; Casey, D. T.; Cerjan, C. J.; et al

    2015-05-15

    By increasing the velocity in “high foot” implosions [Dittrich et al., Phys. Rev. Lett. 112, 055002 (2014); Park et al., Phys. Rev. Lett. 112, 055001 (2014); Hurricane et al., Nature 506, 343 (2014); Hurricane et al., Phys. Plasmas 21, 056314 (2014)] on the National Ignition Facility laser, we have nearly doubled the neutron yield and the hotspot pressure as compared to the implosions reported upon last year. The implosion velocity has been increased using a combination of the laser (higher power and energy), the hohlraum (depleted uranium wall material with higher opacity and lower specific heat than gold hohlraums), andmore » the capsule (thinner capsules with less mass). We find that the neutron yield from these experiments scales systematically with a velocity-like parameter of the square root of the laser energy divided by the ablator mass. By connecting this parameter with the inferred implosion velocity (v), we find that for shots with primary yield >1e15 neutrons, the total yield ~ v⁹˙⁴. This increase is considerably faster than the expected dependence for implosions without alpha heating ( ~v⁵˙⁹) and is additional evidence that these experiments have significant alpha heating.« less

  10. Fixed conditions for achieving the real-valued partition function of one-dimensional Gross-Pitaevskii equation coupled with time-dependent potential

    SciTech Connect (OSTI)

    Prayitno, T. B.

    2014-03-24

    We have imposed the conditions in order to preserve the real-valued partition function in the case of onedimensional Gross-Pitaevskii equation coupled by time-dependent potential. In this case we have solved the Gross-Pitaevskii equation by means of the time-dependent perturbation theory by extending the previous work of Kivshar et al. [Phys. Lett A 278, 225–230 (2001)]. To use the method, we have treated the equation as the macroscopic quantum oscillator and found that the expression of the partition function explicitly has complex values. In fact, we have to choose not only the appropriate functions but also the suitable several values of the potential to keep the real-valued partition function.

  11. The tunneling solutions of the time-dependent Schroedinger equation for a square-potential barrier

    SciTech Connect (OSTI)

    Elci, A.; Hjalmarson, H. P.

    2009-10-15

    The exact tunneling solutions of the time-dependent Schroedinger equation with a square-potential barrier are derived using the continuous symmetry group G{sub S} for the partial differential equation. The infinitesimal generators and the elements for G{sub S} are represented and derived in the jet space. There exist six classes of wave functions. The representative (canonical) wave functions for the classes are labeled by the eigenvalue sets, whose elements arise partially from the reducibility of a Lie subgroup G{sub LS} of G{sub S} and partially from the separation of variables. Each eigenvalue set provides two or more time scales for the wave function. The ratio of two time scales can act as the duration of an intrinsic clock for the particle motion. The exact solutions of the time-dependent Schroedinger equation presented here can produce tunneling currents that are orders of magnitude larger than those produced by the energy eigenfunctions. The exact solutions show that tunneling current can be quantized under appropriate boundary conditions and tunneling probability can be affected by a transverse acceleration.

  12. Simulated Stochastic Approximation Annealing for Global Optimization with a Square-Root Cooling Schedule

    SciTech Connect (OSTI)

    Liang, Faming; Cheng, Yichen; Lin, Guang

    2014-06-13

    Simulated annealing has been widely used in the solution of optimization problems. As known by many researchers, the global optima cannot be guaranteed to be located by simulated annealing unless a logarithmic cooling schedule is used. However, the logarithmic cooling schedule is so slow that no one can afford to have such a long CPU time. This paper proposes a new stochastic optimization algorithm, the so-called simulated stochastic approximation annealing algorithm, which is a combination of simulated annealing and the stochastic approximation Monte Carlo algorithm. Under the framework of stochastic approximation Markov chain Monte Carlo, it is shown that the new algorithm can work with a cooling schedule in which the temperature can decrease much faster than in the logarithmic cooling schedule, e.g., a square-root cooling schedule, while guaranteeing the global optima to be reached when the temperature tends to zero. The new algorithm has been tested on a few benchmark optimization problems, including feed-forward neural network training and protein-folding. The numerical results indicate that the new algorithm can significantly outperform simulated annealing and other competitors.

  13. Nanocluster building blocks of artificial square spin ice: Stray-field studies of thermal dynamics

    SciTech Connect (OSTI)

    Pohlit, Merlin Porrati, Fabrizio; Huth, Michael; Müller, Jens

    2015-05-07

    We present measurements of the thermal dynamics of a Co-based single building block of an artificial square spin ice fabricated by focused electron-beam-induced deposition. We employ micro-Hall magnetometry, an ultra-sensitive tool to study the stray field emanating from magnetic nanostructures, as a new technique to access the dynamical properties during the magnetization reversal of the spin-ice nanocluster. The obtained hysteresis loop exhibits distinct steps, displaying a reduction of their “coercive field” with increasing temperature. Therefore, thermally unstable states could be repetitively prepared by relatively simple temperature and field protocols allowing one to investigate the statistics of their switching behavior within experimentally accessible timescales. For a selected switching event, we find a strong reduction of the so-prepared states' “survival time” with increasing temperature and magnetic field. Besides the possibility to control the lifetime of selected switching events at will, we find evidence for a more complex behavior caused by the special spin ice arrangement of the macrospins, i.e., that the magnetic reversal statistically follows distinct “paths” most likely driven by thermal perturbation.

  14. What is Gross Up?

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

    reimbursement amount. You do not see the money in your pocket, but rather it offsets taxes that would have reduced the payment if we had not paid you the additional amount. For...

  15. Natural Gas Gross Withdrawals

    Gasoline and Diesel Fuel Update (EIA)

    Feet Monthly-Million Cubic Feet per Day Annual-Million Cubic Feet Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes...

  16. Natural Gas Gross Withdrawals

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

    Alaska 221,340 204,073 261,150 279,434 289,770 304,048 1991-2015 Arkansas 85,763 83,954 81,546 83,309 79,278 80,492 1991-2015 California 19,225 19,655 18,928 18,868 18,266 18,868 ...

  17. Natural Gas Gross Withdrawals

    Gasoline and Diesel Fuel Update (EIA)

    Period-Unit: Monthly-Million Cubic Feet Monthly-Million Cubic Feet per Day Annual-Million Cubic Feet Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area Jul-15 Aug-15 Sep-15 Oct-15 Nov-15 Dec-15 View History U.S. 2,767,207 2,765,998 2,750,252 2,817,792 2,740,123 2,822,700 1973-2015 Alaska 221,340 204,073 261,150 279,434 289,770 304,048 1991-2015 Arkansas 85,763 83,954 81,546 83,309 79,278 80,492

  18. Natural Gas Gross Withdrawals

    Gasoline and Diesel Fuel Update (EIA)

    2010 2011 2012 2013 2014 2015 View History U.S. 26,816,085 28,479,026 29,542,313 29,522,551 31,345,546 32,960,531 1936-2015 U.S. Offshore 2,875,945 2,416,644 2,044,643 1,859,469 1,818,267 1977-2014 U.S. State Offshore 575,601 549,151 489,505 505,318 514,809 1978-2014 Federal Offshore U.S. 2,300,344 1,867,492 1,555,138 1,354,151 1,303,458 1977-2014 Alaska 3,197,100 3,162,922 3,164,791 3,215,358 3,168,566 3,175,163 1967-2015 Alaska Onshore 2,826,952 2,798,220 2,857,485 2,882,956 2,803,429

  19. Natural Gas Gross Withdrawals

    Gasoline and Diesel Fuel Update (EIA)

    Monthly-Million Cubic Feet per Day Annual-Million Cubic Feet Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2010 2011 2012 2013 2014 2015 View History U.S. 26,816,085 28,479,026 29,542,313 29,522,551 31,345,546 32,960,531 1936-2015 U.S. Offshore 2,875,945 2,416,644 2,044,643 1,859,469 1,818,267 1977-2014 U.S. State Offshore 575,601 549,151 489,505 505,318 514,809 1978-2014 Federal Offshore U.S.

  20. Sofia Mancheno-Gross

    Broader source: Energy.gov [DOE]

    Sofia specializes in Communications strategies on behalf of the Office of Energy Efficiency and Renewable Energy.

  1. --No Title--

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

    |Natural Gas Energy Intensity | | | (billion cubic feet) | square feet) | (cubic feetsquare foot) | | |---+---+---...

  2. --No Title--

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

    Using Electricity (million |Electricity Energy Intensity | | | (billion kWh) | square feet | (kWhsquare foot) | | |---+---...

  3. --No Title--

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

    (million square | Fuel Oil Energy Intensity | | | (million gallons) | feet) | (gallonssquare foot) | | |---+---+---...

  4. --No Title--

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

    | Natural Gas Energy Intensity | | | (billion cubic feet) | square feet) | (cubic feetsquare foot) | | |---+---+---...

  5. C3DIV.xls

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

    million square feet) Floorspace per Building (thousand square feet) Total (trillion Btu) per Building (million Btu) per Square Foot (thousand Btu) per Worker (million Btu) NEW...

  6. A Continuous Measure of Gross Primary Production for the Conterminous U.S. Derived from MODIS and AmeriFlux Data

    SciTech Connect (OSTI)

    Xia, Jingfeng; Zhuang, Qianlai; Law, Beverly E.; Chen, Jiquan; Baldocchi, Dennis D.; Cook, David R.; Oren, Ram; Richardson, Andrew D.; Wharton, Sonia; Ma, Siyan; Martin, Timothy A.; Verma, Shashi B.; Suyker, Andrew E.; Scott, Russell L.; Monson, Russell K.; Litvak, Marcy; Hollinger, David Y.; Sun, Ge; Davis, Kenneth J.; Bolstad, Paul V.; Burns, Sean P.; Curtis, Peter S.; Drake, Bert G.; Falk, Matthias; Fischer, Marc L.; Foster, David R.; Gu, Lianhong; Hadley, Julian L.; Katul, Gabriel G.; Matamala, Roser; McNulty, Steve; Meyers, Tilden P.; Munger, J. William; Noormets, Asko; Oechel, Walter C.; U, Kyaw Tha Paw; Schmid, Hans Peter; Starr, Gregory; Torn, Margaret S.; Wofsy, Steven C.

    2009-01-28

    The quantification of carbon fluxes between the terrestrial biosphere and the atmosphere is of scientific importance and also relevant to climate-policy making. Eddy covariance flux towers provide continuous measurements of ecosystem-level exchange of carbon dioxide spanning diurnal, synoptic, seasonal, and interannual time scales. However, these measurements only represent the fluxes at the scale of the tower footprint. Here we used remotely-sensed data from the Moderate Resolution Imaging Spectroradiometer (MODIS) to upscale gross primary productivity (GPP) data from eddy covariance flux towers to the continental scale. We first combined GPP and MODIS data for 42 AmeriFlux towers encompassing a wide range of ecosystem and climate types to develop a predictive GPP model using a regression tree approach. The predictive model was trained using observed GPP over the period 2000-2004, and was validated using observed GPP over the period 2005-2006 and leave-one-out cross-validation. Our model predicted GPP fairly well at the site level. We then used the model to estimate GPP for each 1 km x 1 km cell across the U.S. for each 8-day interval over the period from February 2000 to December 2006 using MODIS data. Our GPP estimates provide a spatially and temporally continuous measure of gross primary production for the U.S. that is a highly constrained by eddy covariance flux data. Our study demonstrated that our empirical approach is effective for upscaling eddy flux GPP data to the continental scale and producing continuous GPP estimates across multiple biomes. With these estimates, we then examined the patterns, magnitude, and interannual variability of GPP. We estimated a gross carbon uptake between 6.91 and 7.33 Pg C yr{sup -1} for the conterminous U.S. Drought, fires, and hurricanes reduced annual GPP at regional scales and could have a significant impact on the U.S. net ecosystem carbon exchange. The sources of the interannual variability of U.S. GPP were dominated by these extreme climate events and disturbances.

  7. Energy Information Administration - Commercial Energy Consumption...

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

    Gas Consumption Natural Gas Expenditures per Building (thousand cubic feet) per Square Foot (cubic feet) Distribution of Building-Level Intensities (cubic feetsquare foot) 25th...

  8. Width dependent transition of quantized spin-wave modes in Ni{sub 80}Fe{sub 20} square nanorings

    SciTech Connect (OSTI)

    Banerjee, Chandrima; Saha, Susmita; Barman, Saswati; Barman, Anjan, E-mail: abarman@bose.res.in [Thematic Unit of Excellence on Nanodevice Technology, Department of Condensed Matter Physics and Material Sciences, S. N. Bose National Centre for Basic Sciences, Block JD, Sector III, Salt Lake, Kolkata 700098 (India); Rousseau, Olivier [CEMS-RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198 (Japan); Otani, YoshiChika [CEMS-RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198 (Japan); Institute for Solid State Physics, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8581 (Japan)

    2014-10-28

    We investigated optically induced ultrafast magnetization dynamics in square shaped Ni{sub 80}Fe{sub 20} nanorings with varying ring width. Rich spin-wave spectra are observed whose frequencies showed a strong dependence on the ring width. Micromagnetic simulations showed different types of spin-wave modes, which are quantized upto very high quantization number. In the case of widest ring, the spin-wave mode spectrum shows quantized modes along the applied field direction, which is similar to the mode spectrum of an antidot array. As the ring width decreases, additional quantization in the azimuthal direction appears causing mixed modes. In the narrowest ring, the spin-waves exhibit quantization solely in azimuthal direction. The different quantization is attributed to the variation in the internal field distribution for different ring width as obtained from micromagnetic analysis and supported by magnetic force microscopy.

  9. Inflection points of microcanonical entropy: Monte Carlo simulation of q state Potts model on a finite square lattice

    SciTech Connect (OSTI)

    Praveen, E. Satyanarayana, S. V. M.

    2014-04-24

    Traditional definition of phase transition involves an infinitely large system in thermodynamic limit. Finite systems such as biological proteins exhibit cooperative behavior similar to phase transitions. We employ recently discovered analysis of inflection points of microcanonical entropy to estimate the transition temperature of the phase transition in q state Potts model on a finite two dimensional square lattice for q=3 (second order) and q=8 (first order). The difference of energy density of states (DOS) ? ln g(E) = ln g(E+ ?E) ?ln g(E) exhibits a point of inflexion at a value corresponding to inverse transition temperature. This feature is common to systems exhibiting both first as well as second order transitions. While the difference of DOS registers a monotonic variation around the point of inflexion for systems exhibiting second order transition, it has an S-shape with a minimum and maximum around the point of inflexion for the case of first order transition.

  10. foote-98.pdf

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

    instrument, with a corresponding relative humidity reading 10% to 15% lower than the ground reading. (Ambient temperature was near 0 C.) The primary reason for the higher...

  11. 1020 One Energy Square

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

    ... to respond effectively in crisis situations and deliver ... scheduled to provide technical and financial bids to build. ... Corporation, 2012) since 2007, only forty seven of ...

  12. Concord Four Square Retrofit

    SciTech Connect (OSTI)

    2010-07-09

    This case study describes the retrofit of a home in West Concord, Massachusetts that proved that a 50% reduction in home energy use could be met today in existing housing.

  13. Audit Report: OAS-L-11-02 | Department of Energy

    Energy Savers [EERE]

    1-02 Audit Report: OAS-L-11-02 February 9, 2011 The Department of Energy's Energy Conservation Efforts The Energy Independence and Security Act of 2007 (EISA) requires Federal agencies to apply energy efficiency measures to Federal buildings so that by Fiscal Year (FY) 2015, each agency's energy intensity is reduced by 30 percent from the baseline established in FY 2003. Energy intensity is calculated as the energy consumption in British Thermal Units (BTUs) per gross square foot of the Federal

  14. C10DIV.xls

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

    Building (thousand kWh) per Square Foot (kWh) per Worker (thousand kWh) per Building (thousand dollars) per Square Foot (dollars) per kWh (dollars) NEW ENGLAND...

  15. 1992 CBECS C&E Table 3.29

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

    per Square Foot and Load Factors, 1992 Building Characteristics RSE Column Factor: All Demand-Metered Buildings Peak Watts per Square Foot Load Factor RSE Row Factor Number of...

  16. Energy End-Use Intensities in Commercial Buildings

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

    lighting intensities per lighted square foot-hour (Figure 23). * Food service and health care buildings had the highest water-heating intensities per square foot--more than...

  17. Table 6a. Total Electricity Consumption per Effective Occupied...

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

    a. Total Electricity Consumption per Effective Occupied Square Foot, 1992 Building Characteristics All Buildings Using Electricity (thousand) Total Electricity Consumption...

  18. C4DIV.xls

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

    Floorspace per Building (thousand square feet) Total (million dollars) per Building (thousand dollars) per Square Foot (dollars) per Million Btu (dollars) NEW ENGLAND...

  19. Consumption

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

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

  20. Consumption

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

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

  1. Released: Dec 2006

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

    (thousand square feet)","Total (trillion Btu)","per Building (million Btu)","per Square Foot (thousand Btu)","per Worker (million Btu)" "All Buildings* ...",4645...

  2. Consumption

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

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

  3. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

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

  4. Residential Buildings Historical Publications reports, data and...

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

    0 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

  5. Residential Buildings Historical Publications reports, data and...

    Gasoline and Diesel Fuel Update (EIA)

    0 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

  6. Residential Buildings Historical Publications reports, data and...

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

    Natural Gas, 1980 Average Natural Gas Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square...

  7. Consumption

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

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

  8. SU-F-18C-14: Hessian-Based Norm Penalty for Weighted Least-Square CBCT Reconstruction

    SciTech Connect (OSTI)

    Sun, T; Sun, N; Tan, S; Wang, J

    2014-06-15

    Purpose: To develop a Hessian-based norm penalty for cone-beam CT (CBCT) reconstruction that has a similar ability in suppressing noise as the total variation (TV) penalty while avoiding the staircase effect and better preserving low-contrast objects. Methods: We extended the TV penalty to a Hessian-based norm penalty based on the Frobenius norm of the Hessian matrix of an image for CBCT reconstruction. The objective function was constructed using the penalized weighted least-square (PWLS) principle. An effective algorithm was developed to minimize the objective function using a majorization-minimization (MM) approach. We evaluated and compared the proposed penalty with the TV penalty on a CatPhan 600 phantom and an anthropomorphic head phantom, each acquired at a low-dose protocol (10mA/10ms) and a high-dose protocol (80mA/12ms). For both penalties, contrast-to-noise (CNR) in four low-contrast regions-of-interest (ROIs) and the full-width-at-half-maximum (FWHM) of two point-like objects in constructed images were calculated and compared. Results: In the experiment of CatPhan 600 phantom, the Hessian-based norm penalty has slightly higher CNRs and approximately equivalent FWHM values compared with the TV penalty. In the experiment of the anthropomorphic head phantom at the low-dose protocol, the TV penalty result has several artificial piece-wise constant areas known as the staircase effect while in the Hessian-based norm penalty the image appears smoother and more similar to that of the FDK result using the high-dose protocol. Conclusion: The proposed Hessian-based norm penalty has a similar performance in suppressing noise to the TV penalty, but has a potential advantage in suppressing the staircase effect and preserving low-contrast objects. This work was supported in part by National Natural Science Foundation of China (NNSFC), under Grant Nos. 60971112 and 61375018, and Fundamental Research Funds for the Central Universities, under Grant No. 2012QN086.

  9. The tale of a modern animal plague: Tracing the evolutionary history and determining the time-scale for foot and mouth disease virus

    SciTech Connect (OSTI)

    Tully, Damien C. Fares, Mario A.

    2008-12-20

    Despite significant advances made in the understanding of its epidemiology, foot and mouth disease virus (FMDV) is among the most unexpected agricultural devastating plagues. While the disease manifests itself as seven immunologically distinct strains their origin, population dynamics, migration patterns and divergence times remain unknown. Herein we have assembled a comprehensive data set of gene sequences representing the global diversity of the disease and inferred the time-scale and evolutionary history for FMDV. Serotype-specific rates of evolution and divergence times were estimated using a Bayesian coalescent framework. We report that an ancient precursor FMDV gave rise to two major diversification events spanning a relatively short interval of time. This radiation event is estimated to have taken place towards the end of the 17th and the beginning of the 18th century giving us the present circulating Euro-Asiatic and South African viral strains. Furthermore our results hint that Europe acted as a possible hub for the disease from where it successfully dispersed elsewhere via exploration and trading routes.

  10. Two-dimensional equations of the surface harmonics method for solving problems of spatial neutron kinetics in square-lattice reactors

    SciTech Connect (OSTI)

    Boyarinov, V. F. Kondrushin, A. E. Fomichenko, P. A.

    2014-12-15

    Two-dimensional time-dependent finite-difference equations of the surface harmonics method (SHM) for the description of the neutron transport are derived for square-lattice reactors. These equations are implemented in the SUHAM-TD code. Verification of the derived equations and the developed code are performed by the example of known test problems, and the potential and efficiency of the SHM as applied to the solution of the time-dependent neutron transport equation in the diffusion approximation in two-dimensional geometry are demonstrated. These results show the substantial advantage of SHM over direct finite-difference modeling in computational costs.

  11. Table 10.7 Solar Thermal Collector Shipments by Market Sector, End Use, and Type, 2001-2009 (Thousand Square Feet)

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

    Solar Thermal Collector Shipments by Market Sector, End Use, and Type, 2001-2009 (Thousand Square Feet) Year and Type By Market Sector By End Use Total Residential Commercial 1 Industrial 2 Electric Power 3 Other 4 Pool Heating Water Heating Space Heating Space Cooling Combined Heating 5 Process Heating Electricity Generation Total Shipments 6<//td> 2001 Total 10,125 1,012 17 1 35 10,797 274 70 0 12 34 2 11,189 Low 7 9,885 987 12 0 34 10,782 42 61 0 0 34 0 10,919 Medium 8 240 24 5 0 1 16

  12. Hodges residence: performance of a direct gain passive solar home in Iowa

    SciTech Connect (OSTI)

    Hodges, L.

    1980-01-01

    Results are presented for the performance of the Hodges residence, a 2200-square-foot earth-sheltered direct gain passive solar home in Ames, Iowa, during the 1979-80 heating season, its first occupied season. No night insulation was used on its 500 square feet of double-pane glass. Total auxiliary heat required was 43 GJ (41 MBtu) gross and 26 GJ (25 MBtu) net, amounting, respectively, to 60 and 36 kJ/C/sup 0/-day-m/sup 2/ (2.9 and 1.8 Btu/F/sup 0/-day-ft/sup 2/). The heating season was unusually cloudy and included the cloudiest January in the 21 years of Ames insolation measurements. Results are also presented for the performance of the hollowcore floor which serves as the main storage mass and for the comfort range in the house.

  13. Hodges residence: performance of a direct gain passive solar home in Iowa

    SciTech Connect (OSTI)

    Hodges, L.

    1980-01-01

    Results are presented for the performance of the Hodges Residence, a 2200-square-foot earth-sheltered direct gain passive solar home in Ames, Iowa, during the 1979-80 heating season, its first occupied season. No night insulation was used on its 500 square feet of double-pane glass. Total auxiliary heat required was 43 GJ (41 MBTU) gross and 26 GJ (25 MBTU) net, amounting, respectively, to 60 and 36 kJ/C/sup 0/-day-m/sup 2/ (2.9 and 1.8 BTU/F/sup 0/-day-ft/sup 2/). The heating season was unusually cloudy and included the cloudiest January in the 21 years of Ames insolation measurements. Results are also presented for the performance of the hollow-core floor which serves as the main storage mass and for the comfort range in the house.

  14. Pb{sub 5}Fe{sub 3}TiO{sub 11}Cl: A rare example of Ti(IV) in a square pyramidal oxygen coordination

    SciTech Connect (OSTI)

    Batuk, Maria; Batuk, Dmitry; Abakumov, Artem M.; Hadermann, Joke

    2014-07-01

    A new oxychloride Pb{sub 5}Fe{sub 3}TiO{sub 11}Cl has been synthesized using the solid state method. Its crystal and magnetic structure was investigated in the 1.5550 K temperature range using electron diffraction, high angle annular dark field scanning transmission electron microscopy, atomic resolution energy dispersive X-ray spectroscopy, neutron and X-ray powder diffraction. At room temperature Pb{sub 5}Fe{sub 3}TiO{sub 11}Cl crystallizes in the P4/mmm space group with the unit cell parameters a=3.91803(3) and c=19.3345(2) . Pb{sub 5}Fe{sub 3}TiO{sub 11}Cl is a new n=4 member of the oxychloride perovskite-based homologous series A{sub n+1}B{sub n}O{sub 3n?1}Cl. The structure is built of truncated Pb{sub 3}Fe{sub 3}TiO{sub 11} quadruple perovskite blocks separated by CsCl-type Pb{sub 2}Cl slabs. The perovskite blocks consist of two layers of (Fe,Ti)O{sub 6} octahedra sandwiched between two layers of (Fe,Ti)O{sub 5} square pyramids. The Ti{sup 4+} cations are preferentially located in the octahedral layers, however, the presence of a noticeable amount of Ti{sup 4+} in a five-fold coordination environment has been undoubtedly proven using neutron powder diffraction and atomic resolution compositional mapping. Pb{sub 5}Fe{sub 3}TiO{sub 11}Cl is antiferromagnetically ordered below 450(10) K. The ordered Fe magnetic moments at 1.5 K are 4.06(4) ?{sub B} and 3.86(5) ?{sub B} on the octahedral and square-pyramidal sites, respectively. - Highlights: Pb{sub 5}Fe{sub 3}TiO{sub 11}Cl has been synthesized using the solid state method. The structure has been refined using neutron powder diffraction data at 1.5550 K. It is a new n=4 member of the perovskite-related homologous series A{sub n+1}B{sub n}O{sub 3n?1}Cl. Ti{sup 4+} cations have both octahedral and square-pyramidal coordination environment. Pb{sub 5}Fe{sub 3}TiO{sub 11}Cl is antiferromagnetically ordered below T{sub N}?450 K.

  15. Consumption

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

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

  16. Consumption

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

    Using Natural Gas (million square feet)",,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"1,001 to 10,000 Square Feet","10,001 to 100,000 Square Feet","Over 100,000...

  17. Uncertainty in least-squares fits to the thermal noise spectra of nanomechanical resonators with applications to the atomic force microscope

    SciTech Connect (OSTI)

    Sader, John E.; Yousefi, Morteza; Friend, James R.; Melbourne Centre for Nanofabrication, Clayton, Victoria 3800

    2014-02-15

    Thermal noise spectra of nanomechanical resonators are used widely to characterize their physical properties. These spectra typically exhibit a Lorentzian response, with additional white noise due to extraneous processes. Least-squares fits of these measurements enable extraction of key parameters of the resonator, including its resonant frequency, quality factor, and stiffness. Here, we present general formulas for the uncertainties in these fit parameters due to sampling noise inherent in all thermal noise spectra. Good agreement with Monte Carlo simulation of synthetic data and measurements of an Atomic Force Microscope (AFM) cantilever is demonstrated. These formulas enable robust interpretation of thermal noise spectra measurements commonly performed in the AFM and adaptive control of fitting procedures with specified tolerances.

  18. High-throughput prediction of Acacia and eucalypt lignin syringyl/guaiacyl content using FT-Raman spectroscopy and partial least squares modeling

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Lupoi, Jason S.; Healey, Adam; Singh, Seema; Sykes, Robert; Davis, Mark; Lee, David J.; Shepherd, Merv; Simmons, Blake A.; Henry, Robert J.

    2015-01-16

    High-throughput techniques are necessary to efficiently screen potential lignocellulosic feedstocks for the production of renewable fuels, chemicals, and bio-based materials, thereby reducing experimental time and expense while supplanting tedious, destructive methods. The ratio of lignin syringyl (S) to guaiacyl (G) monomers has been routinely quantified as a way to probe biomass recalcitrance. Mid-infrared and Raman spectroscopy have been demonstrated to produce robust partial least squares models for the prediction of lignin S/G ratios in a diverse group of Acacia and eucalypt trees. The most accurate Raman model has now been used to predict the S/G ratio from 269 unknown Acaciamore » and eucalypt feedstocks. This study demonstrates the application of a partial least squares model composed of Raman spectral data and lignin S/G ratios measured using pyrolysis/molecular beam mass spectrometry (pyMBMS) for the prediction of S/G ratios in an unknown data set. The predicted S/G ratios calculated by the model were averaged according to plant species, and the means were not found to differ from the pyMBMS ratios when evaluating the mean values of each method within the 95 % confidence interval. Pairwise comparisons within each data set were employed to assess statistical differences between each biomass species. While some pairwise appraisals failed to differentiate between species, Acacias, in both data sets, clearly display significant differences in their S/G composition which distinguish them from eucalypts. In conclusion, this research shows the power of using Raman spectroscopy to supplant tedious, destructive methods for the evaluation of the lignin S/G ratio of diverse plant biomass materials.« less

  19. Development and Characterization of A Multiplexed RT-PCR Species Specific Assay for Bovine and one for Porcine Foot-and-Mouth Disease Virus Rule-Out

    SciTech Connect (OSTI)

    Smith, S M; Danganan, L; Tammero, L; Vitalis, B; Lenhoff, R; Naraghi-arani, P; Hindson, B

    2007-08-06

    Lawrence Livermore National Laboratory (LLNL), in collaboration with the Department of Homeland Security (DHS) and the United States Department of Agriculture (USDA), Animal and Plant Health Inspection Services (APHIS) has developed candidate multiplexed assays that may potentially be used within the National Animal Health Laboratory Network (NAHLN), the National Veterinary Services Laboratory (Ames, Iowa) and the Plum Island Animal Disease Center (PIADC). This effort has the ability to improve our nation's capability to discriminate between foreign animal diseases and those that are endemic using a single assay, thereby increasing our ability to protect food and agricultural resources with a diagnostic test which could enhance the nation's capabilities for early detection of a foreign animal disease. In FY2005 with funding from the DHS, LLNL developed the first version (Version 1.0) of a multiplexed (MUX) nucleic-acid-based RT-PCR assay that included signatures for foot-and-mouth disease virus (FMDV) detection with rule-out tests for two other foreign animal diseases (FADs) of swine, Vesicular Exanthema of Swine (VESV) and Swine Vesicular Disease Virus (SVDV), and four other domestic viral diseases Bovine Viral Diarrhea Virus (BVDV), Bovine Herpes Virus 1 (BHV-1), Bluetongue virus (BTV) and Parapox virus complex (which includes Bovine Papular Stomatitis Virus [BPSV], Orf of sheep, and Pseudocowpox). In FY06, LLNL has developed Bovine and Porcine species-specific panel which included existing signatures from Version 1.0 panel as well as new signatures. The MUX RT-PCR porcine assay for detection of FMDV includes the FADs, VESV and SVD in addition to vesicular stomatitis virus (VSV) and porcine reproductive and respiratory syndrome (PRRS). LLNL has also developed a MUX RT-PCR bovine assay for detection of FMDV with rule out tests for the two bovine FADs malignant catarrhal fever (MCF), rinderpest virus (RPV) and the domestic diseases vesicular stomatitis virus (VSV), bovine viral diarrhea virus (BVDV), infectious bovine rhinotracheitus virus (BHV-1), bluetongue virus (BTV), and the Parapox viruses (which are of two bovine types) bovine papular stomatitis virus (BPSV) and psuedocowpox (PCP). A timeline for this development is presented in Table 1. The development of the Version 1.0 panel for FMDV rule-out and the most current efforts aimed to designed species specific panels has spanned over 2 1/2 years with multiple collaborative partnerships. This document provides a summary of the development, testing and performance data at OIE Stage 1 Feasibility into Stage 2 Assay Development and Standardization1 (see Table 2), gathered as of June 30th, 2007 for the porcine and bovine MUX assay panels. We present an overview of the identification and selection of candidate genetic signatures, the assay development process, and preliminary performance data for each of the individual signatures as characterized in the multiplexed format for the porcine and bovine panels. The Stage 1 Feasibility data of the multiplexed panels is presented in this report also includes relevant data acquired from the Version 1.0 panel as supporting information where appropriate. In contrast to last years effort, the development of the bovine and porcine panels is pending additional work to complete analytical characterization of FMDV, VESV, SVD, RPV and MCF. The signature screening process and final panel composition impacts this effort. The unique challenge presented this year was having strict predecessor limitations in completing characterization, where efforts at LLNL must precede efforts at PIADC, such challenges were alleviated in the 2006 reporting by having characterization data from the interlaboratory comparison and at Plum Island under AgDDAP project. We will present an addendum at a later date with additional data on the characterization of the porcine and bovine multiplex assays when that data is available. As a summary report, this document does not provide the details of signature generation, evaluation, and testing, nor does it provide spec

  20. A chi-square goodness-of-fit test for non-identically distributed random variables: with application to empirical Bayes

    SciTech Connect (OSTI)

    Conover, W.J.; Cox, D.D.; Martz, H.F.

    1997-12-01

    When using parametric empirical Bayes estimation methods for estimating the binomial or Poisson parameter, the validity of the assumed beta or gamma conjugate prior distribution is an important diagnostic consideration. Chi-square goodness-of-fit tests of the beta or gamma prior hypothesis are developed for use when the binomial sample sizes or Poisson exposure times vary. Nine examples illustrate the application of the methods, using real data from such diverse applications as the loss of feedwater flow rates in nuclear power plants, the probability of failure to run on demand and the failure rates of the high pressure coolant injection systems at US commercial boiling water reactors, the probability of failure to run on demand of emergency diesel generators in US commercial nuclear power plants, the rate of failure of aircraft air conditioners, baseball batting averages, the probability of testing positive for toxoplasmosis, and the probability of tumors in rats. The tests are easily applied in practice by means of corresponding Mathematica{reg_sign} computer programs which are provided.

  1. A laser gyro with a four-mirror square resonator: formulas for simulating the dynamics of the synchronisation zone parameters of the frequencies of counterpropagating waves during the device operation in the self-heating regime

    SciTech Connect (OSTI)

    Bondarenko, E A

    2014-04-28

    For a laser gyro with a four-mirror square resonator we have developed a mathematical model, which allows one to simulate the temporal behaviour of the synchronisation zone parameters of the frequencies of counterpropagating waves in a situation when the device operates in the self-heating regime and is switched-on at different initial temperatures. (laser gyroscopes)

  2. A VIRTUAL SKY WITH EXTRAGALACTIC H I AND CO LINES FOR THE SQUARE KILOMETRE ARRAY AND THE ATACAMA LARGE MILLIMETER/SUBMILLIMETER ARRAY

    SciTech Connect (OSTI)

    Obreschkow, D.; Kloeckner, H.-R.; Heywood, I.; Rawlings, S.; Levrier, F.

    2009-10-01

    We present a sky simulation of the atomic H I-emission line and the first 10 {sup 12}C{sup 16}O rotational emission lines of molecular gas in galaxies beyond the Milky Way. The simulated sky field has a comoving diameter of 500 h {sup -1} Mpc; hence, the actual field of view depends on the (user-defined) maximal redshift z {sub max}; e.g., for z {sub max} = 10, the field of view yields approx4 x 4 deg{sup 2}. For all galaxies, we estimate the line fluxes, line profiles, and angular sizes of the H I and CO-emission lines. The galaxy sample is complete for galaxies with cold hydrogen masses above 10{sup 8} M {sub sun}. This sky simulation builds on a semi-analytic model of the cosmic evolution of galaxies in a LAMBDA cold dark matter (LAMBDACDM) cosmology. The evolving CDM distribution was adopted from the Millennium Simulation, an N-body CDM simulation in a cubic box with a side length of 500 h {sup -1} Mpc. This side length limits the coherence scale of our sky simulation: it is long enough to allow the extraction of the baryon acoustic oscillations in the galaxy power spectrum, yet the position and amplitude of the first acoustic peak will be imperfectly defined. This sky simulation is a tangible aid to the design and operation of future telescopes, such as the Square Kilometre Array, Large Millimeter Telescope, and Atacama Large Millimeter/Submillimeter Array. The results presented in this paper have been restricted to a graphical representation of the simulated sky and fundamental dN/dz analyses for peak flux density limited and total flux limited surveys of H I and CO. A key prediction is that H I will be harder to detect at redshifts z approx> 2 than predicted by a no-evolution model. The future verification or falsification of this prediction will allow us to qualify the semi-analytic models.

  3. Total Natural Gas Gross Withdrawals (Summary)

    Gasoline and Diesel Fuel Update (EIA)

    Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 1231 Reserves...

  4. Solar Energy Gross Receipts Tax Deduction

    Broader source: Energy.gov [DOE]

    The seller must have a signed copy of Form RPD-41341 to claim the deduction or other evidence acceptable to EMNRD that the service or equipment was purchased for the sole use of the sale and...

  5. Advanced Energy Gross Receipts Tax Deduction

    Broader source: Energy.gov [DOE]

    To qualify for the exemption, the owner of a qualified generating facility must first obtain a certificate of eligibility from the Department of Environment. The owner must then present the...

  6. Property:GrossGen | Open Energy Information

    Open Energy Info (EERE)

    B Blundell 1 Geothermal Facility + 213,599 + Blundell 2 Geothermal Facility + 85,633 + G Gumuskoy Geothermal Power Plant + 104,000 + L Las Tres Virgenes Geothermal Plant + 19 +...

  7. Mississippi Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

    2-2015 Repressuring NA NA NA NA NA NA 1991-2015 Vented and Flared NA NA NA NA NA NA 1996-2015 Nonhydrocarbon Gases Removed NA NA NA NA NA NA 1991-2015 Marketed Production NA NA NA NA NA NA 1989-2015 Dry Production 2006

  8. Missouri Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

    7-2015 Repressuring NA NA NA NA NA NA 1991-2015 Vented and Flared NA NA NA NA NA NA 1991-2015 Nonhydrocarbon Gases Removed NA NA NA NA NA NA 1991-2015 Marketed Production NA NA NA NA NA NA 1991-2015 Dry Production 2007

  9. Natural Gas Gross Withdrawals from Coalbed Wells

    Gasoline and Diesel Fuel Update (EIA)

    2002-2015 Alaska NA NA NA NA NA NA 2002-2015 Arkansas NA NA NA NA NA NA 2006-2015 California NA NA NA NA NA NA 2002-2015 Colorado NA NA NA NA NA NA 2002-2015 Federal Offshore Gulf of Mexico NA NA NA NA NA NA 2002-2015 Kansas NA NA NA NA NA NA 2002-2015 Louisiana NA NA NA NA NA NA 2002-2015 Montana NA NA NA NA NA NA 2002-2015 New Mexico NA NA NA NA NA NA 2002-2015 North Dakota NA NA NA NA NA NA 2002-2015 Ohio NA NA NA NA NA NA 2006-2015 Oklahoma NA NA NA NA NA NA 2002-2015 Pennsylvania NA NA NA

  10. Nebraska Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

    NA NA NA NA NA NA 1991-2015 From Gas Wells NA NA NA NA NA NA 1991-2015 From Oil Wells NA NA NA NA NA NA 1991-2015 From Shale Gas Wells NA NA NA NA NA NA 2007-2015 From Coalbed Wells NA NA NA NA NA NA 2006-2015 Repressuring NA NA NA NA NA NA 1991-2015 Vented and Flared NA NA NA NA NA NA 1991-2015 Nonhydrocarbon Gases Removed NA NA NA NA NA NA 1991-2015 Marketed Production NA NA NA NA NA NA 1991

  11. Nevada Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

  12. Alabama Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Offshore U.S. State Offshore Federal Offshore U.S. Alaska Alaska Onshore Alaska Offshore Alaska State Offshore Arkansas California California Onshore California Offshore California State Offshore Federal Offshore California Colorado Federal Offshore Gulf of Mexico Federal Offshore Alabama Federal Offshore Louisiana Federal Offshore Texas Kansas Louisiana Louisiana Onshore Louisiana Offshore Louisiana State Offshore Montana New Mexico North Dakota Ohio Oklahoma Pennsylvania Texas Texas

  13. Alabama Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

    Alaska Arkansas California Colorado Federal Offshore Gulf of Mexico Kansas Louisiana Montana New Mexico North Dakota Ohio Oklahoma Pennsylvania Texas Utah West Virginia Wyoming Other States Total Alabama Arizona Florida Illinois Indiana Kentucky Maryland Michigan Mississippi Missouri Nebraska Nevada New York Oregon South Dakota Tennessee Virginia Period-Unit: Monthly-Million Cubic Feet Monthly-Million Cubic Feet per Day Annual-Million Cubic Feet Download Series History Download Series History

  14. Alaska Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Offshore U.S. State Offshore Federal Offshore U.S. Alaska Alaska Onshore Alaska Offshore Alaska State Offshore Arkansas California California Onshore California Offshore California State Offshore Federal Offshore California Colorado Federal Offshore Gulf of Mexico Federal Offshore Alabama Federal Offshore Louisiana Federal Offshore Texas Kansas Louisiana Louisiana Onshore Louisiana Offshore Louisiana State Offshore Montana New Mexico North Dakota Ohio Oklahoma Pennsylvania Texas Texas

  15. Alaska Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

    Alaska Arkansas California Colorado Federal Offshore Gulf of Mexico Kansas Louisiana Montana New Mexico North Dakota Ohio Oklahoma Pennsylvania Texas Utah West Virginia Wyoming Other States Total Alabama Arizona Florida Illinois Indiana Kentucky Maryland Michigan Mississippi Missouri Nebraska Nevada New York Oregon South Dakota Tennessee Virginia Period-Unit: Monthly-Million Cubic Feet Monthly-Million Cubic Feet per Day Annual-Million Cubic Feet Download Series History Download Series History

  16. Arizona Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Offshore U.S. State Offshore Federal Offshore U.S. Alaska Alaska Onshore Alaska Offshore Alaska State Offshore Arkansas California California Onshore California Offshore California State Offshore Federal Offshore California Colorado Federal Offshore Gulf of Mexico Federal Offshore Alabama Federal Offshore Louisiana Federal Offshore Texas Kansas Louisiana Louisiana Onshore Louisiana Offshore Louisiana State Offshore Montana New Mexico North Dakota Ohio Oklahoma Pennsylvania Texas Texas

  17. Arkansas Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Offshore U.S. State Offshore Federal Offshore U.S. Alaska Alaska Onshore Alaska Offshore Alaska State Offshore Arkansas California California Onshore California Offshore California State Offshore Federal Offshore California Colorado Federal Offshore Gulf of Mexico Federal Offshore Alabama Federal Offshore Louisiana Federal Offshore Texas Kansas Louisiana Louisiana Onshore Louisiana Offshore Louisiana State Offshore Montana New Mexico North Dakota Ohio Oklahoma Pennsylvania Texas Texas

  18. Arkansas Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

    Alaska Arkansas California Colorado Federal Offshore Gulf of Mexico Kansas Louisiana Montana New Mexico North Dakota Ohio Oklahoma Pennsylvania Texas Utah West Virginia Wyoming Other States Total Alabama Arizona Florida Illinois Indiana Kentucky Maryland Michigan Mississippi Missouri Nebraska Nevada New York Oregon South Dakota Tennessee Virginia Period-Unit: Monthly-Million Cubic Feet Monthly-Million Cubic Feet per Day Annual-Million Cubic Feet Download Series History Download Series History

  19. Indiana Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

  20. Kentucky Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

    NA NA NA NA NA NA 1991-2015 From Gas Wells NA NA NA NA NA NA 1991-2015 From Oil Wells NA NA NA NA NA NA 1991-2015 From Shale Gas Wells NA NA NA NA NA NA 2007-2015 From Coalbed Wells NA NA NA NA NA NA 2006-2015 Repressuring NA NA NA NA NA NA 1991-2015 Vented and Flared NA NA NA NA NA NA 1991-2015 Nonhydrocarbon Gases Removed NA NA NA NA NA NA 1991-2015 Marketed Production NA NA NA NA NA NA 1991

  1. Maryland Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

    6-2015 Repressuring NA NA NA NA NA NA 1991-2015 Vented and Flared NA NA NA NA NA NA 1991-2015 Nonhydrocarbon Gases Removed NA NA NA NA NA NA 1991-2015 Marketed Production NA NA NA NA NA NA 1991

  2. Tennessee Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

  3. Louisiana Natural Gas Gross Withdrawals and Production

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

    159,456 166,570 164,270 166,973 161,280 163,799 1991-2015 From Gas Wells NA NA NA NA NA NA 1991-2015 From Oil Wells NA NA NA NA NA NA 1991-2015 From Shale Gas Wells NA NA NA NA NA ...

  4. ,"Arizona Natural Gas Gross Withdrawals and Production"

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

    Monthly","122015","1151991" ,"Release Date:","2292016" ,"Next Release Date:","3312016" ,"Excel File Name:","ngprodsumdcsazmmcfm.xls" ,"Available from Web ...

  5. Natural Gas Gross Withdrawals from Oil Wells

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

    1-2015 Illinois NA NA NA NA NA NA 1991-2015 Indiana NA NA NA NA NA NA 1991-2015 Kentucky NA NA NA NA NA NA 1991-2015 Maryland NA NA NA NA NA NA 1991-2015 Michigan NA NA NA NA NA NA ...

  6. Michigan Natural Gas Gross Withdrawals and Production

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

    NA NA NA NA NA NA 1991-2015 From Gas Wells NA NA NA NA NA NA 1991-2015 From Oil Wells NA NA NA NA NA NA 1991-2015 From Shale Gas Wells NA NA NA NA NA NA 2007-2015 From Coalbed ...

  7. Colorado Natural Gas Gross Withdrawals and Production

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

    39,822 143,397 138,325 144,845 139,698 141,947 1991-2015 From Gas Wells NA NA NA NA NA NA 1991-2015 From Oil Wells NA NA NA NA NA NA 1991-2015 From Shale Gas Wells NA NA NA NA NA ...

  8. ,"Arkansas Natural Gas Gross Withdrawals and Production"

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

    Monthly","122015","1151991" ,"Release Date:","2292016" ,"Next Release Date:","331...14,19600,16058,3542,,,156,21,0,18960 35445,19915,16196,3719,,,208,5,0,19147 ...

  9. Kansas Natural Gas Gross Withdrawals and Production

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

    24,842 24,864 23,819 23,559 22,371 22,744 1991-2015 From Gas Wells NA NA NA NA NA NA 1991-2015 From Oil Wells NA NA NA NA NA NA 1991-2015 From Shale Gas Wells NA NA NA NA NA NA ...

  10. Arizona Natural Gas Gross Withdrawals and Production

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

    NA NA NA NA NA NA 1996-2015 From Gas Wells NA NA NA NA NA NA 1991-2015 From Oil Wells NA NA NA NA NA NA 1991-2015 From Shale Gas Wells NA NA NA NA NA NA 2007-2015 From Coalbed ...

  11. Natural Gas Gross Withdrawals from Gas Wells

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

    6-2015 Illinois NA NA NA NA NA NA 1991-2015 Indiana NA NA NA NA NA NA 1991-2015 Kentucky NA NA NA NA NA NA 1991-2015 Maryland NA NA NA NA NA NA 1991-2015 Michigan NA NA NA NA NA NA ...

  12. Florida Natural Gas Gross Withdrawals and Production

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

    6-2015 From Oil Wells NA NA NA NA NA NA 1991-2015 From Shale Gas Wells NA NA NA NA NA NA 2007-2015 From Coalbed Wells NA NA NA NA NA NA 2002-2015 Repressuring NA NA NA NA NA NA ...

  13. Montana Natural Gas Gross Withdrawals and Production

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

    4,941 4,756 4,573 4,827 4,568 4,681 1991-2015 From Gas Wells NA NA NA NA NA NA 1991-2015 From Oil Wells NA NA NA NA NA NA 1991-2015 From Shale Gas Wells NA NA NA NA NA NA 2007-2015 ...

  14. California Natural Gas Gross Withdrawals and Production

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

    9,225 19,655 18,928 18,868 18,266 18,868 1991-2015 From Gas Wells NA NA NA NA NA NA 1991-2015 From Oil Wells NA NA NA NA NA NA 1991-2015 From Shale Gas Wells NA NA NA NA NA NA ...

  15. Illinois Natural Gas Gross Withdrawals and Production

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

    NA NA NA NA NA NA 1991-2015 From Shale Gas Wells NA NA NA NA NA NA 2007-2015 From Coalbed Wells NA NA NA NA NA NA 2006-2015 Repressuring NA NA NA NA NA NA 1991-2015 Vented and ...

  16. Monthly Natural Gas Gross Production Report

    Gasoline and Diesel Fuel Update (EIA)

  17. Michigan Natural Gas Gross Withdrawals and Production

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

    159,400 136,782 143,826 129,333 123,622 114,946 1967-2014 From Gas Wells 20,867 7,345 18,470 17,041 17,502 13,799 1967-2014 From Oil Wells 12,919 9,453 11,620 4,470 4,912 5,507 1967-2014 From Shale Gas Wells 125,614 119,984 113,736 107,822 101,208 95,640 2007-2014 From Coalbed Wells 0 0 0 0 0 0 2002-2014 Repressuring 2,340 2,340 2,340 0 NA NA 1967-2014 Vented and Flared 3,324 3,324 3,324 0 NA NA 1967-2014 Nonhydrocarbon Gases Removed 0 0 0 0 0 0 1996-2014 Marketed Production 153,736 131,118

  18. Mississippi Natural Gas Gross Withdrawals and Production

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

    352,888 401,660 443,351 452,915 59,272 54,440 1967-2014 From Gas Wells 337,168 387,026 429,829 404,457 47,385 43,091 1967-2014 From Oil Wells 8,934 8,714 8,159 43,421 7,256 7,150 1967-2014 From Shale Gas Wells 0 0 0 0 0 0 2007-2014 From Coalbed Wells 6,785 5,921 5,363 5,036 4,630 4,199 2002-2014 Repressuring 3,039 3,480 3,788 0 NA NA 1967-2014 Vented and Flared 7,875 8,685 9,593 0 NA NA 1967-2014 Nonhydrocarbon Gases Removed 253,817 315,775 348,482 389,072 0 0 1980-2014 Marketed Production

  19. Missouri Natural Gas Gross Withdrawals and Production

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

    NA NA NA NA 9 9 1967-2014 From Gas Wells NA NA NA NA 8 8 1967-2014 From Oil Wells NA NA NA NA 1 * 2007-2014 From Shale Gas Wells NA NA NA NA 0 0 2007-2014 From Coalbed Wells NA NA NA NA 0 0 2007-2014 Repressuring NA NA NA NA 0 0 2007-2014 Vented and Flared NA NA NA NA 0 0 2007-2014 Nonhydrocarbon Gases Removed NA NA NA NA 0 0 2007-2014 Marketed Production NA NA NA NA 9 9 1967-2014 Dry Production NA NA NA NA 9 9

  20. Montana Natural Gas Gross Withdrawals and Production

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

    93,266 79,506 66,954 63,242 59,930 57,296 1967-2015 From Gas Wells 51,117 37,937 27,518 19,831 11,796 1967-2014 From Oil Wells 19,292 21,777 20,085 23,152 23,479 1967-2014 From Shale Gas Wells 12,937 13,101 15,619 18,636 18,890 2007-2014 From Coalbed Wells 9,920 6,691 3,731 1,623 5,766 2002-2014 Repressuring 5 4 0 NA NA 1967-2014 Vented and Flared 5,722 4,878 0 NA NA 1967-2014 Nonhydrocarbon Gases Removed NA NA 0 NA NA 1996-2014 Marketed Production 87,539 74,624 66,954 63,242 59,930 57,296

  1. Natural Gas Gross Withdrawals from Coalbed Wells

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

    2,010,171 1,916,762 1,779,055 1,539,395 1,425,783 1,285,189 2002-2014 Alaska 0 0 0 0 0 0 2002-2014 Alaska Onshore 0 0 0 0 0 0 2007-2014 Arkansas 0 0 0 0 0 0 2006-2014 California 0 0 0 0 0 0 2002-2014 Colorado 544,215 529,891 514,531 376,543 449,281 419,132 2002-2014 Federal Offshore Gulf of Mexico 0 0 0 0 0 0 2002-2014 Kansas 43,661 38,869 35,924 31,689 28,244 25,365 2002-2014 Louisiana 0 0 0 0 0 0 2002-2014 Louisiana Onshore 0 0 0 0 0 0 2007-2014 Montana 12,376 9,920 6,691 3,731 1,623 5,766

  2. Natural Gas Gross Withdrawals from Gas Wells

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

    14,414,287 13,247,498 12,291,070 12,504,227 10,759,545 10,384,119 1967-2014 U.S. State Offshore 259,848 234,236 208,970 204,667 186,887 159,337 1978-2014 Federal Offshore U.S. 1,878,928 1,701,665 1,355,489 1,028,474 831,636 720,400 1977-2014 Alaska 137,639 127,417 112,268 107,873 91,686 104,219 1967-2014 Alaska Onshore 96,685 85,383 76,066 74,998 64,537 81,565 1992-2014 Alaska State Offshore 40,954 42,034 36,202 32,875 27,149 22,654 1978-2014 Arkansas 164,316 152,108 132,230 121,684 107,666

  3. Natural Gas Gross Withdrawals from Oil Wells

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

    5,674,120 5,834,703 5,907,919 4,965,833 5,404,699 5,922,088 1967-2014 U.S. State Offshore 327,105 341,365 340,182 284,838 318,431 355,472 1978-2014 Federal Offshore U.S. 606,403 598,679 512,003 526,664 522,515 583,058 1977-2014 Alaska 3,174,747 3,069,683 3,050,654 3,056,918 3,123,671 3,064,346 1967-2014 Alaska Onshore 2,858,211 2,741,569 2,722,154 2,782,486 2,818,418 2,721,864 1992-2014 Alaska State Offshore 316,537 328,114 328,500 274,431 305,253 342,482 1978-2014 Arkansas 5,743 5,691 9,291

  4. Nevada Natural Gas Gross Withdrawals and Production

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

    4 3 4 3 3 1991-2014 From Gas Wells 0 0 0 0 0 3 2006-2014 From Oil Wells 4 4 3 4 3 * 1991-2014 From Shale Gas Wells 0 0 0 0 0 0 2007-2014 From Coalbed Wells 0 0 0 0 0 0 2006-2014 Repressuring 0 0 0 0 0 0 2006-2014 Vented and Flared 0 0 0 0 0 0 1991-2014 Nonhydrocarbon Gases Removed 0 0 0 0 0 0 2006-2014 Marketed Production 4 4 3 4 3 3 1991-2014 Dry Production 4 4 3 4 3 3 1991

  5. Ohio Natural Gas Gross Withdrawals and Production

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

    78,122 78,858 84,482 166,017 518,767 1,014,600 1967-2015 From Gas Wells 73,459 30,655 65,025 55,583 78,204 1967-2014 From Oil Wells 4,651 45,663 6,684 10,317 13,037 1967-2014 From Shale Gas Wells 11 2,540 12,773 100,117 427,525 2007-2014 From Coalbed Wells 0 0 0 0 0 2006-2014 Repressuring 0 0 0 0 0 1967-2014 Vented and Flared 0 0 0 0 0 1967-2014 Nonhydrocarbon Gases Removed 0 0 0 0 0 2006-2014 Marketed Production 78,122 78,858 84,482 166,017 518,767 1,014,600 1967-2015 Dry Production 78,122

  6. Oklahoma Natural Gas Gross Withdrawals and Production

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

    1,827,328 1,888,870 2,023,461 1,993,754 2,310,114 2,497,569 1967-2015 From Gas Wells 1,140,111 1,281,794 1,394,859 1,210,315 1,456,519 1967-2014 From Oil Wells 210,492 104,703 53,720 71,515 106,520 1967-2014 From Shale Gas Wells 406,143 449,167 503,329 663,507 706,837 2007-2014 From Coalbed Wells 70,581 53,206 71,553 48,417 40,238 2002-2014 Repressuring 0 0 0 0 0 1967-2014 Vented and Flared 0 0 0 0 0 1967-2014 Nonhydrocarbon Gases Removed 0 0 0 0 0 1996-2014 Marketed Production 1,827,328

  7. Tennessee Natural Gas Gross Withdrawals and Production

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

    5,478 5,144 4,851 5,825 5,400 5,294 1967-2014 From Gas Wells 5,478 5,144 4,851 5,825 5,400 5,294 1967-2014 From Oil Wells 0 0 0 0 0 0 1967-2014 From Shale Gas Wells 0 0 0 0 0 0 2007-2014 From Coalbed Wells 0 0 0 0 0 0 2006-2014 Repressuring 0 0 0 0 0 0 1967-2014 Vented and Flared 0 0 0 0 0 0 1967-2014 Nonhydrocarbon Gases Removed 0 0 0 0 0 0 1997-2014 Marketed Production 5,478 5,144 4,851 5,825 5,400 5,294 1967-2014 Dry Production 5,478 4,638 4,335 5,324 4,912 4,912

  8. Texas Natural Gas Gross Withdrawals and Production

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

    7,593,697 7,934,689 8,143,510 8,299,472 8,663,333 8,765,412 1967-2015 From Gas Wells 4,441,188 3,794,952 3,619,901 3,115,409 2,734,153 1967-2014 From Oil Wells 849,560 1,073,301 860,675 1,166,810 1,520,200 1967-2014 From Shale Gas Wells 2,302,950 3,066,435 3,662,933 4,017,253 4,408,980 2007-2014 From Coalbed Wells 0 0 0 0 0 2002-2014 Repressuring 558,854 502,020 437,367 423,413 452,150 1967-2014 Vented and Flared 39,569 35,248 47,530 76,113 81,755 1967-2014 Nonhydrocarbon Gases Removed 279,981

  9. Utah Natural Gas Gross Withdrawals and Production

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

    436,885 461,507 490,393 470,863 453,207 422,353 1967-2015 From Gas Wells 328,135 351,168 402,899 383,216 360,587 1967-2014 From Oil Wells 42,526 49,947 31,440 36,737 44,996 1967-2014 From Shale Gas Wells 0 0 1,333 992 1,003 2007-2014 From Coalbed Wells 66,223 60,392 54,722 49,918 46,622 2002-2014 Repressuring 1,187 1,449 0 NA NA 1967-2014 Vented and Flared 2,080 1,755 0 NA NA 1967-2014 Nonhydrocarbon Gases Removed 1,573 778 0 NA NA 1996-2014 Marketed Production 432,045 457,525 490,393 470,863

  10. Virginia Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

    NA NA NA NA NA NA 1991-2015 From Gas Wells NA NA NA NA NA NA 1991-2015 From Oil Wells NA NA NA NA NA NA 1991-2015 From Shale Gas Wells NA NA NA NA NA NA 2007-2015 From Coalbed Wells NA NA NA NA NA NA 2006-2015 Repressuring NA NA NA NA NA NA 1991-2015 Vented and Flared NA NA NA NA NA NA 1991-2015 Nonhydrocarbon Gases Removed NA NA NA NA NA NA 1991-2015 Marketed Production NA NA NA NA NA NA

  11. Texas Natural Gas Gross Withdrawals and Production

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

    752,341 754,086 731,049 739,603 714,788 720,593 1991-2015 From Gas Wells NA NA NA NA NA NA 1991-2015 From Oil Wells NA NA NA NA NA NA 1991-2015 From Shale Gas Wells NA NA NA NA NA NA 2007-2015 From Coalbed Wells NA NA NA NA NA NA 2002-2015 Repressuring NA NA NA NA NA NA 1991-2015 Vented and Flared NA NA NA NA NA NA 1991-2015 Nonhydrocarbon Gases Removed NA NA NA NA NA NA 1991-2015 Marketed Production 675,828 677,396 656,702 664,386 642,094 647,308

  12. Offshore Gross Withdrawals of Natural Gas

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

    Jul-15 Aug-15 Sep-15 Oct-15 Nov-15 Dec-15 View History Federal Offshore 121,847 124,795 122,038 116,075 103,357 109,286 1997-2015 From Gas Wells NA NA NA NA NA NA 1997-2015 From Oil Wells NA NA NA NA NA NA 1997-2015

  13. Offshore Gross Withdrawals of Natural Gas

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

    2010 2011 2012 2013 2014 2015 View History U.S. Total Offshore 2,875,945 2,416,644 2,044,643 1,859,469 1,818,267 1977-2014 State Offshore 575,601 549,151 489,505 505,318 514,809 1978-2014 From Gas Wells 234,236 208,970 204,667 186,887 159,337 1978-2014 From Oil Wells 341,365 340,182 284,838 318,431 355,472 1978-2014 Federal Offshore 2,300,344 1,867,492 1,555,138 1,354,151 1,303,458 1977-2014 From Gas Wells 1,701,665 1,355,489 1,028,474 831,636 720,400 1977-2014 From Oil Wells 598,679 512,003

  14. Ohio Natural Gas Gross Withdrawals and Production

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

    88,406 87,904 89,371 104,127 104,572 113,096 1991-2015 From Gas Wells NA NA NA NA NA NA 1991-2015 From Oil Wells NA NA NA NA NA NA 1991-2015 From Shale Gas Wells NA NA NA NA NA NA 2007-2015 From Coalbed Wells NA NA NA NA NA NA 2006-2015 Repressuring NA NA NA NA NA NA 1991-2015 Vented and Flared NA NA NA NA NA NA 1991-2015 Nonhydrocarbon Gases Removed NA NA NA NA NA NA 1991-2015 Marketed Production 88,406 87,904 89,371 104,127 104,572 113,096 1991

  15. Oklahoma Natural Gas Gross Withdrawals and Production

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

    217,883 213,529 204,298 209,342 200,704 206,487 1991-2015 From Gas Wells NA NA NA NA NA NA 1991-2015 From Oil Wells NA NA NA NA NA NA 1991-2015 From Shale Gas Wells NA NA NA NA NA NA 2007-2015 From Coalbed Wells NA NA NA NA NA NA 2002-2015 Repressuring NA NA NA NA NA NA 1996-2015 Vented and Flared NA NA NA NA NA NA 1996-2015 Nonhydrocarbon Gases Removed NA NA NA NA NA NA 1996-2015 Marketed Production 217,883 213,529 204,298 209,342 200,704 206,487 1989

  16. Oregon Natural Gas Gross Withdrawals and Production

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

    NA NA NA NA NA NA 1996-2015 From Gas Wells NA NA NA NA NA NA 1991-2015 From Oil Wells NA NA NA NA NA NA 1996-2015 From Shale Gas Wells NA NA NA NA NA NA 2007-2015 From Coalbed Wells NA NA NA NA NA NA 2002-2015 Repressuring NA NA NA NA NA NA 1996-2015 Vented and Flared NA NA NA NA NA NA 1996-2015 Nonhydrocarbon Gases Removed NA NA NA NA NA NA 1996-2015 Marketed Production NA NA NA NA NA NA

  17. Pennsylvania Natural Gas Gross Withdrawals and Production

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

    398,737 408,325 396,931 404,431 403,683 429,251 1991-2015 From Gas Wells NA NA NA NA NA NA 1991-2015 From Oil Wells NA NA NA NA NA NA 1991-2015 From Shale Gas Wells NA NA NA NA NA NA 2007-2015 From Coalbed Wells NA NA NA NA NA NA 2006-2015 Repressuring NA NA NA NA NA NA 1991-2015 Vented and Flared NA NA NA NA NA NA 1991-2015 Nonhydrocarbon Gases Removed NA NA NA NA NA NA 1991-2015 Marketed Production 398,737 408,325 396,931 404,431 403,683 429,251

  18. Wyoming Natural Gas Gross Withdrawals and Production

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

    68,548 167,539 162,880 167,555 163,345 165,658 1991-2015 From Gas Wells NA NA NA NA NA NA 1991-2015 From Oil Wells NA NA NA NA NA NA 1991-2015 From Shale Gas Wells NA NA NA NA NA NA 2007-2015 From Coalbed Wells NA NA NA NA NA NA 2002-2015 Repressuring NA NA NA NA NA NA 1991-2015 Vented and Flared NA NA NA NA NA NA 1991-2015 Nonhydrocarbon Gases Removed NA NA NA NA NA NA 1991-2015 Marketed Production 150,260 149,361 145,208 149,375 145,622 147,684 1989

  19. California Natural Gas Gross Withdrawals and Production

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

    319,891 279,130 246,822 252,310 252,718 222,803 1967-2015 From Gas Wells 73,017 63,902 91,904 88,203 75,684 1967-2014 From Oil Wells 151,369 120,880 67,065 69,839 69,521 1967-2014 From Shale Gas Wells 95,505 94,349 87,854 94,268 107,513 2007-2014 From Coalbed Wells 0 0 0 0 0 2002-2014 Repressuring 27,240 23,905 0 NA NA 1967-2014 Vented and Flared 2,790 2,424 0 NA NA 1967-2014 Nonhydrocarbon Gases Removed 3,019 2,624 0 NA NA 1980-2014 Marketed Production 286,841 250,177 246,822 252,310 252,718

  20. Colorado Natural Gas Gross Withdrawals and Production

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

    1,589,664 1,649,306 1,709,376 1,604,860 1,631,390 1,671,511 1967-2015 From Gas Wells 526,077 563,750 1,036,572 801,749 779,042 1967-2014 From Oil Wells 338,565 359,537 67,466 106,784 177,305 1967-2014 From Shale Gas Wells 195,131 211,488 228,796 247,046 255,911 2007-2014 From Coalbed Wells 529,891 514,531 376,543 449,281 419,132 2002-2014 Repressuring 10,043 10,439 0 NA NA 1967-2014 Vented and Flared 1,242 1,291 0 NA NA 1967-2014 Nonhydrocarbon Gases Removed 0 0 0 0 0 1980-2014 Marketed

  1. Florida Natural Gas Gross Withdrawals and Production

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

    290 13,938 17,129 18,681 18,011 21,259 1971-2014 From Gas Wells 0 0 0 17,182 16,459 19,742 1996-2014 From Oil Wells 290 13,938 17,129 1,500 1,551 1,517 1971-2014 From Shale Gas Wells 0 0 0 0 0 0 2007-2014 From Coalbed Wells 0 0 0 0 0 0 2002-2014 Repressuring 0 0 0 17,909 17,718 20,890 1976-2014 Vented and Flared 0 0 0 0 0 0 1971-2014 Nonhydrocarbon Gases Removed 32 1,529 2,004 0 NA NA 1980-2014 Marketed Production 257 12,409 15,125 773 292 369 1967-2014 Dry Production 257 12,409 15,125 773 292

  2. Illinois Natural Gas Gross Withdrawals and Production

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

    1,443 1,702 2,121 2,125 2,887 2,626 1967-2014 From Gas Wells 1,438 1,697 2,114 2,125 2,887 2,626 1967-2014 From Oil Wells 5 5 7 0 0 0 1967-2014 From Shale Gas Wells 0 0 0 0 0 0 2007-2014 From Coalbed Wells 0 0 0 0 0 0 2006-2014 Repressuring 0 0 0 0 0 0 2006-2014 Vented and Flared 0 0 0 0 0 0 1967-2014 Nonhydrocarbon Gases Removed 0 0 0 0 0 0 2006-2014 Marketed Production 1,443 1,702 2,121 2,125 2,887 2,626 1967-2014 Dry Production 1,412 1,357 1,078 2,125 2,887 2,579

  3. Indiana Natural Gas Gross Withdrawals and Production

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

    4,927 6,802 9,075 8,814 7,938 6,616 1967-2014 From Gas Wells 4,927 6,802 9,075 8,814 7,938 6,616 1967-2014 From Oil Wells 0 0 0 0 0 0 1967-2014 From Shale Gas Wells 0 0 0 0 0 0 2007-2014 From Coalbed Wells 0 0 0 0 0 0 2006-2014 Repressuring 0 0 0 0 0 0 2003-2014 Vented and Flared 0 0 0 0 0 0 2003-2014 Nonhydrocarbon Gases Removed 0 0 0 0 0 0 1997-2014 Marketed Production 4,927 6,802 9,075 8,814 7,938 6,616 1967-2014 Dry Production 4,927 6,802 9,075 8,814 7,938 6,616

  4. Maryland Natural Gas Gross Withdrawals and Production

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

    43 43 34 44 32 20 1967-2014 From Gas Wells 43 43 34 44 32 20 1967-2014 From Oil Wells 0 0 0 0 0 0 2006-2014 From Shale Gas Wells 0 0 0 0 0 0 2007-2014 From Coalbed Wells 0 0 0 0 0 0 2006-2014 Repressuring 0 0 0 0 0 0 2006-2014 Vented and Flared 0 0 0 0 0 0 2006-2014 Nonhydrocarbon Gases Removed 0 0 0 0 0 0 2006-2014 Marketed Production 43 43 34 44 32 20 1967-2014 Dry Production 43 43 34 44 32 20

  5. Utah Natural Gas Gross Withdrawals and Production

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

    35,984 33,029 30,933 31,404 30,891 34,204 1991-2015 From Gas Wells NA NA NA NA NA NA 1991-2015 From Oil Wells NA NA NA NA NA NA 1991-2015 From Shale Gas Wells NA NA NA NA NA NA 2007-2015 From Coalbed Wells NA NA NA NA NA NA 2002-2015 Repressuring NA NA NA NA NA NA 1991-2015 Vented and Flared NA NA NA NA NA NA 1994-2015 Nonhydrocarbon Gases Removed NA NA NA NA NA NA 1996-2015 Marketed Production 35,984 33,029 30,933 31,404 30,891 34,204

  6. Wyoming Natural Gas Gross Withdrawals and Production

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

    ,514,657 2,375,301 2,225,622 2,047,757 1,997,666 1,983,188 1967-2015 From Gas Wells 1,787,599 1,709,218 1,762,095 1,673,667 1,671,442 1967-2014 From Oil Wells 151,871 152,589 24,544 29,134 38,974 1967-2014 From Shale Gas Wells 5,519 4,755 9,252 16,175 25,387 2007-2014 From Coalbed Wells 569,667 508,739 429,731 328,780 261,863 2002-2014 Repressuring 2,810 5,747 6,630 2,124 5,210 1967-2014 Vented and Flared 42,101 57,711 45,429 34,622 29,641 1967-2014 Nonhydrocarbon Gases Removed 164,221 152,421

  7. ,"Wyoming Natural Gas Gross Withdrawals and Production"

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

    ... 37695,159737,143763,15974,,0,10880,1965,13536,133356 37726,151054,135949,15105,,0,11144,1639,12903,125368 37756,143494,129144,14349,,0,10300,1461,5571,126161 ...

  8. Natural Gas Gross Withdrawals from Oil Wells

    Gasoline and Diesel Fuel Update (EIA)

    5,674,120 5,834,703 5,907,919 4,965,833 5,404,699 5,922,088 1967-2014 U.S. State Offshore 327,105 341,365 340,182 284,838 318,431 355,472 1978-2014 Federal Offshore U.S. 606,403...

  9. Natural Gas Gross Withdrawals from Coalbed Wells

    Gasoline and Diesel Fuel Update (EIA)

    2002-2015 Alaska NA NA NA NA NA NA 2002-2015 Arkansas NA NA NA NA NA NA 2006-2015 California NA NA NA NA NA NA 2002-2015 Colorado NA NA NA NA NA NA 2002-2015 Federal Offshore Gulf...

  10. Natural Gas Gross Withdrawals from Coalbed Wells

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

    2,010,171 1,916,762 1,779,055 1,539,395 1,425,783 1,285,189 2002-2014 Alaska 0 0 0 0 0 0 2002-2014 Alaska Onshore 0 0 0 0 0 0 2007-2014 Arkansas 0 0 0 0 0 0 2006-2014 California 0...

  11. Natural Gas Gross Withdrawals from Gas Wells

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

    6-2015 Illinois NA NA NA NA NA NA 1991-2015 Indiana NA NA NA NA NA NA 1991-2015 Kentucky NA NA NA NA NA NA 1991-2015 Maryland NA NA NA NA NA NA 1991-2015 Michigan NA NA NA NA NA NA...

  12. Natural Gas Gross Withdrawals from Oil Wells

    Gasoline and Diesel Fuel Update (EIA)

    1-2015 Illinois NA NA NA NA NA NA 1991-2015 Indiana NA NA NA NA NA NA 1991-2015 Kentucky NA NA NA NA NA NA 1991-2015 Maryland NA NA NA NA NA NA 1991-2015 Michigan NA NA NA NA NA NA...

  13. Natural Gas Gross Withdrawals from Gas Wells

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

    14,414,287 13,247,498 12,291,070 12,504,227 10,759,545 10,384,119 1967-2014 U.S. State Offshore 259,848 234,236 208,970 204,667 186,887 159,337 1978-2014 Federal Offshore U.S....

  14. c15.xls

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

    25th Percentile Median 75th Percentile per Building (thousand dollars) per Square Foot (dollars) per Thousand Cubic Feet (dollars) All Buildings ......

  15. ,"Natural Gas Consumption",,,"Natural Gas Expenditures"

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

    Census Division, 1999" ,"Natural Gas Consumption",,,"Natural Gas Expenditures" ,"per Building (thousand cubic feet)","per Square Foot (cubic feet)","per Worker (thousand cubic...

  16. Table 3a. Total Natural Gas Consumption per Effective Occupied...

    Gasoline and Diesel Fuel Update (EIA)

    3a. Natural Gas Consumption per Sq Ft Table 3a. Total Natural Gas Consumption per Effective Occupied Square Foot, 1992 Building Characteristics All Buildings Using Natural Gas...

  17. ,"Fuel Oil Consumption",,,"Fuel Oil Expenditures"

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

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

  18. ,"Fuel Oil Consumption",,,"Fuel Oil Expenditures"

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

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

  19. ,"Total Fuel Oil Expenditures

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

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

  20. Consumption

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

    Using Natural Gas (million square feet)",,,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"North- east","Mid- west","South","West","North- east","Mid-...

  1. Consumption

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

    Using Natural Gas (million square feet)",,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"West South Central","Moun- tain","Pacific","West South Central","Moun-...

  2. 1995 CECS C&E Tables

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

    (3 pages, 20 kb) CONTENTS PAGES Table 19. Distribution of Peak Watts per Square Foot and Load Factors, 1995 These data are from the 1995 Commercial Buildings Energy...

  3. Consumption

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

    Using Natural Gas (million square feet)",,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"New England","Middle Atlantic","East North Central","New England","Middle...

  4. Consumption

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

    Using Natural Gas (million square feet)",,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"West North Central","South Atlantic","East South Central","West North...

  5. Highlighting High Performance Buildings: Department of Environmental Protection-Cambria Office Building, Ebensburg, Pennsylvania

    SciTech Connect (OSTI)

    2001-11-01

    The 36,000-square-foot Cambria Office building used integrated design to minimize energy use, pollution and environmental impact the building will create over its lifetime.

  6. Room Air Conditioners | Department of Energy

    Office of Environmental Management (EM)

    frequently. Based on size alone, an air conditioner generally needs 20 Btu for each square foot of living space. Other important factors to consider when selecting an air...

  7. Consumption

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

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

  8. Highlighting High Performance: Department of Environmental Protection; Cambria Office Building, Ebensburg, Pennsylvania

    SciTech Connect (OSTI)

    2001-11-01

    The 36,000-square-foot Cambria Office building used integrated design to minimize energy use, pollution and environmental impact the building will create over its lifetime.

  9. NREL's Grid Integration Lab Nominated for Prestigious Project...

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

    technologies interact on the grid at megawatt utility scale. Housing 15 experimental laboratories and several outdoor test beds, the 182,500-square-foot facility features a ...

  10. Y-12 employee engineers success for disabled adults | Y-12 National...

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

    case management, training, housing, jobs and other services for adults with severe disabilities. The future 25,000 square foot building will house a medical and nursing center,...

  11. Energy Information Administration - Commercial Energy Consumption...

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

    4A. Electricity Consumption and Expenditure Intensities for All Buildings, 2003 Electricity Consumption Electricity Expenditures per Building (thousand kWh) per Square Foot (kWh)...

  12. Table C10. Electricity Consumption and Expenditure Intensities...

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

    Electricity Consumption and Expenditure Intensities, 1999" ,"Electricity Consumption",,,,,,"Electricity Expenditures" ,"per Building (thousand kWh)","per Square Foot (kWh)","per...

  13. Commercial Buildings Energy Consumption and Expenditures 1992...

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

    with the national average of 81 thousand Btu per square foot), while buildings using solar energy or passive solar features used the major energy sources more intensively...

  14. Compare Activities by Number of Computers

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

    of Computers Office buildings contained the most computers per square foot, followed by education and outpatient health care buildings. Education buildings were the only type...

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

    Gasoline and Diesel Fuel Update (EIA)

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

  16. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    4A. Fuel Oil Consumption and Expenditure Intensities for All Buildings, 2003 Fuel Oil Consumption Fuel Oil Expenditures per Building (gallons) per Square Foot (gallons) per...

  17. --No Title--

    Gasoline and Diesel Fuel Update (EIA)

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

  18. NREL: Resource Assessment and Forecasting - Facilities

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

    energy research and development. The 2,600-square-foot facility was completed in 2000 and houses the Metrology Laboratory, Optical Metrology Laboratory, Data Acquisition...

  19. Innovative Facility Kicks Off First Experiment to Transform Building...

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

    ABOUT FLEXLAB 4,844-square-foot research facility at Lawrence Berkeley National Laboratory for full-scale performance tests on building technologies Enables researchers to conduct ...

  20. Table 5a. Total District Heat Consumption per Effective Occupied...

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

    a. Total District Heat Consumption per Effective Occupied Square Foot, 1992 Building Characteristics All Buildings Using District Heat (thousand) Total District Heat Consumption...

  1. Glossary - U.S. Energy Information Administration (EIA)

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

    Consumption: See Energy consumption. Consumption per square foot: The aggregate ratio of total consumption for a particular set of buildings to the total floorspace of those ...

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

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

    Using Electricity (million square feet) Electricity Energy Intensity (kWhsquare foot) New England Middle Atlantic East North Central New England Middle Atlantic East North...

  3. --No Title--

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

    Natural Gas (million square feet) Natural Gas Energy Intensity (cubic feetsquare foot) New England Middle Atlantic East North Central New England Middle Atlantic East North...

  4. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    Natural Gas (million square feet) Natural Gas Energy Intensity (cubic feetsquare foot) New England Middle Atlantic East North Central New England Middle Atlantic East North...

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

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

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

  6. Table 2b. Relative Standard Errors for Electricity Consumption...

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

    2b. Relative Standard Errors for Electricity Table 2b. Relative Standard Errors for Electricity Consumption and Electricity Intensities, per Square Foot, Specific to Occupied and...

  7. Table 6b. Relative Standard Errors for Total Electricity Consumption...

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

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

  8. Buildings Energy Data Book: 4.3 Federal Buildings and Facilities Expenditures

    Buildings Energy Data Book [EERE]

    2 Annual Energy Expenditures per Gross Square Foot of Federal Floorspace Stock, by Year ($2010) FY 1985 2.13 FY 2000 1.36 FY 2001 1.58 FY 2002 1.49 FY 2003 1.45 FY 2004 1.54 FY 2005 1.59 FY 2006 2.01 (1) FY 2007 2.01 Note(s): Source(s): Total Federal buildings and facilities energy expenditures in FY 2006 were $5.79 billion (in $2010). 1) Increase due to change in FEMP categorization of Federal buildings. DOE/FEMP, Annual Report to Congress on FEMP FY 2007, Jan. 2010, Table A-9, p. 97 and Table

  9. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

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

  10. Consumption

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

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

  11. Consumption

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

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

  12. OpenEI:Projects/Geographic Pages | Open Energy Information

    Open Energy Info (EERE)

    and per square foot: Total Electricity Use Total heating fuel use (or broken down by gasoil) Total building square footage HeatingCooling degree-days - This would allow us to...

  13. Word Pro - Untitled1

    Gasoline and Diesel Fuel Update (EIA)

    3 Table 2.10 Commercial Buildings Energy Consumption and Expenditure Indicators, Selected Years, 1979-2003 Energy Source and Year Building Characteristics Energy Consumption Energy Expenditures Number of Buildings Total Square Feet Square Feet per Building Total Per Building Per Square Foot Per Employee Total Per Building Per Square Foot Per Million Btu Thousands Millions Thousands Trillion Btu Million Btu Thousand Btu Million Btu Million Dollars 1 Thousand Dollars 1 Dollars 1 Dollars 1 Major

  14. Table 2.10 Commercial Buildings Energy Consumption and Expenditure Indicators, Selected Years, 1979-2003

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

    0 Commercial Buildings Energy Consumption and Expenditure Indicators, Selected Years, 1979-2003 Energy Source and Year Building Characteristics Energy Consumption Energy Expenditures Number of Buildings Total Square Feet Square Feet per Building Total Per Building Per Square Foot Per Employee Total Per Building Per Square Foot Per Million Btu Thousands Millions Thousands Trillion Btu Million Btu Thousand Btu Million Btu Million Dollars 1 Thousand Dollars 1 Dollars 1 Dollars 1 Major Sources 2

  15. Development and Characterization of a Multiplexed RT-PCR Species Specific Assay for Bovine and one for Porcine Foot-and-Mouth Disease Virus Rule-Out Supplemental Materials

    SciTech Connect (OSTI)

    Smith, S; Danganan, L; Tammero, L; Lenhoff, R; Naraghi-arani, P; Hindson, B

    2007-08-06

    Lawrence Livermore National Laboratory (LLNL), in collaboration with the Department of Homeland Security (DHS) and the United States Department of Agriculture (USDA), Animal and Plant Health Inspection Services (APHIS) has developed advanced rapid diagnostics that may be used within the National Animal Health Laboratory Network (NAHLN), the National Veterinary Services Laboratory (Ames, Iowa) and the Plum Island Animal Disease Center (PIADC). This effort has the potential to improve our nation's ability to discriminate between foreign animal diseases and those that are endemic using a single assay, thereby increasing our ability to protect animal populations of high economic importance in the United States. Under 2005 DHS funding we have developed multiplexed (MUX) nucleic-acid-based PCR assays that combine foot-and-mouth disease virus (FMDV) detection with rule-out tests for two other foreign animal diseases Vesicular Exanthema of Swine (VESV) and Swine Vesicular Disease (SVD) and four other domestic viral diseases Bovine Viral Diarrhea Virus (BVDV), Bovine Herpes Virus 1 (BHV-1 or Infectious Bovine Rhinotracheitus IBR), Bluetongue virus (BTV) and Parapox virus complex (which includes Bovine Papular Stomatitis Virus BPSV, Orf of sheep, and Pseudocowpox). Under 2006 funding we have developed a Multiplexed PCR [MUX] porcine assay for detection of FMDV with rule out tests for VESV and SVD foreign animal diseases in addition to one other domestic vesicular animal disease vesicular stomatitis virus (VSV) and one domestic animal disease of swine porcine reproductive and respiratory syndrome (PRRS). We have also developed a MUX bovine assay for detection of FMDV with rule out tests for the two bovine foreign animal diseases malignant catarrhal fever (MCF), rinderpest virus (RPV) and the domestic diseases vesicular stomatitis virus (VSV), bovine viral diarrhea virus (BVDV), infectious bovine rhinotracheitus virus (BHV-1), bluetongue virus (BTV), and the Parapox viruses which are of two bovine types bovine papular stomatitis virus (BPSV) and psuedocowpox (PCP). This document provides details of signature generation, evaluation, and testing, as well as the specific methods and materials used. A condensed summary of the development, testing and performance of the multiplexed assay panel was presented in a 126 page separate document, entitled 'Development and Characterization of A Multiplexed RT-PCR Species Specific Assay for Bovine and one for Porcine Foot-and-Mouth Disease Virus Rule-Out'. This supplemental document provides additional details of large amount of data collected for signature generation, evaluation, and testing, as well as the specific methods and materials used for all steps in the assay development and utilization processes. In contrast to last years effort, the development of the bovine and porcine panels is pending additional work to complete analytical characterization of FMDV, VESV, VSV, SVD, RPV and MCF. The signature screening process and final panel composition impacts this effort. The unique challenge presented this year was having strict predecessor limitations in completing characterization, where efforts at LLNL must preceed efforts at PIADC, such challenges were alleviated in the 2006 reporting by having characterization data from the interlaboratory comparison and at Plum Island under AgDDAP project. We will present an addendum at a later date with additional data on the characterization of the porcine and bovine multiplex assays when that data is available.

  16. Wynkoop Building Performance Measurement: Water

    SciTech Connect (OSTI)

    Fowler, Kimberly M.; Kora, Angela R.

    2012-08-26

    This report is a summary of the water analysis performance for the Denver, Colorado Wynkoop Building. The Wynkoop Building (Figure 1) was built in 2006 as the Environmental Protection Agency (EPA) Region 8 Headquarters intended to house over 900 occupants in the 301,292 gross square feet (248,849 rentable square feet). The building was built on a brownfield in the Lower Downtown Historic District as part of an urban redevelopment effort. The building was designed and constructed through a public-private partnership with the sustainable design elements developed jointly by General Services Administration (GSA) and EPA. That partnership is still active with all parties still engaged to optimize building operations and use the building as a Learning Laboratory. The building design achieved U.S. Green Building Council Leadership in Energy and Environmental Design for New Construction (LEED-NC) Gold Certification in 2008 (Figure 2) and a 2008 EPA Energy Star Rating of 96 with design highlights that include: (1) Water use was designed to use 40% less than a typical design baseline. The design included low flow fixtures, waterless urinals and dual flush toilets; (2) Native and adaptive vegetation were selected to minimize the need for irrigation water for landscaping; and (3) Energy use intensity was modeled at 66.1 kBtus/gross square foot, which is 39% better than ASHRAE 90.1 1999. The Wynkoop Building water use (10 gallons/square foot) was measured at lower than industry average (15 gallons/square foot) and GSA goals (13 gallons/square foot), however, it was higher than building management expected it would be. The type of occupants and number of occupants can have a significant impact on fixture water use. The occupancy per floor varied significantly over the study time period, which added uncertainty to the data analysis. Investigation of the fixture use on the 2nd, 5th, and 7th floors identified potential for water use reduction if the flush direction of the dual-flush toilet handles was reversed. The building management retrofitted the building's toilets with handles that operated on reduced flush when pushed down (0.8 gallons) and full flush when pulled up (1.1 gallons). The water pressure on the 5th floor (< 30 psi) is less than half the pressure on the 7th floor (>80 psi). The measured water savings post-retrofit was lower on the 5th floor than the 7th floor. The differences in water pressure may have had an impact on the quantity of water used per floor. The second floor water use was examined prior to and following the toilet fixture retrofit. This floor is where conference rooms for non-building occupants are available for use, thus occupancy is highly variable. The 3-day average volume per flush event was higher post-retrofit (0.79 gallons per event), in contrast to pre-retrofit (0.57 gallons per event). There were 40% more flush events post retrofit, which impacted the findings. Water use in the third floor fitness center was also measured for a limited number of days. Because of water line accessibility, only water use on the men's side of the fitness center was measured and from that the total fitness center water use was estimated. Using the limited data collected, the fitness center shower water use is approximately 2% of the whole building water use. Overall water use in the Wynkoop Building is below the industry baseline and GSA expectations. The dual flush fixture replacement appears to have resulted in additional water savings that are expected to show a savings in the total annual water use.

  17. Partially-reflected water-moderated square-piteched U(6.90)O2 fuel rod lattices with 0.67 fuel to water volume ratio (0.800 CM Pitch)

    SciTech Connect (OSTI)

    Harms, Gary A.

    2015-09-01

    The US Department of Energy (DOE) Nuclear Energy Research Initiative funded the design and construction of the Seven Percent Critical Experiment (7uPCX) at Sandia National Laboratories. The start-up of the experiment facility and the execution of the experiments described here were funded by the DOE Nuclear Criticality Safety Program. The 7uPCX is designed to investigate critical systems with fuel for light water reactors in the enrichment range above 5% 235U. The 7uPCX assembly is a water-moderated and -reflected array of aluminum-clad square-pitched U(6.90%)O2 fuel rods.

  18. LittleFoot Energy | Open Energy Information

    Open Energy Info (EERE)

    Zip: 02144 Region: Greater Boston Area Sector: Efficiency Product: Implement thermal storage, geothermal, solar, monitoring and control in hybrid system designs that offset...

  19. Kennett Square, Pennsylvania: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 39.8467767, -75.7116032 Show Map Loading map... "minzoom":false,"mappingservice":"googlemaps3","type"...

  20. Square Engineering Pvt Ltd | Open Energy Information

    Open Energy Info (EERE)

    Product: Fabrication and erection contractor; has a manufacturing contract with Green & Gold Energy of Australia for the SunCube PV concentrator system, under which it will build a...

  1. Word Pro - Untitled1

    Gasoline and Diesel Fuel Update (EIA)

    0 Commercial Buildings Energy Consumption and Expenditure Indicators, Selected Years, 1979-2003 Buildings by Energy Source Used Consumption Consumption per Square Foot Square Footage per Building by Expenditures Expenditures Per Square Foot Energy Source Used 62 U.S. Energy Information Administration / Annual Energy Review 2011 1 Electricity only; excludes electrical system energy losses. 2 Distillate fuel oil, residual fuel oil, and kerosene. 3 Prices are not adjusted for inflation. See

  2. Property:GrossProdCapacity | Open Energy Information

    Open Energy Info (EERE)

    1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWA...

  3. Montana Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 31,610 32,229 68,064 1970's 48,302 38,136 38,137 60,931 59,524 44,547 45,097 48,181 48,497...

  4. California Natural Gas Gross Withdrawals (Million Cubic Feet...

    Gasoline and Diesel Fuel Update (EIA)

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 861,320 816,925 767,342 1970's 727,245 679,244 555,392 513,586 426,974 367,653 427,640 387,497...

  5. South Dakota Natural Gas Gross Withdrawals from Coalbed Wells (Million

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

    Cubic 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 0 0 2010's 0 0 0 0 0

  6. Tennessee Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

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

    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 0 0 2010's 0 0 0 0 0

  7. Louisiana Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

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

    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 0 0 0 0 0 0 2010's 0 0 0 0 0

  8. Maryland Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

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

    Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 0 0 0 0 0 0 0 0 0 0 0 0 2007 0 0 0 0 0 0 0 0 0 0 0 0 2008 0 0 0 0 0 0 0 0 0 0 0 0 2009 0 0 0 0 0 0 0 0 0 0 0 0 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 NA NA NA NA NA NA NA NA NA NA NA NA 2015 NA NA NA NA NA NA NA NA NA NA NA NA

  9. Michigan Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

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

    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 0 0 0 0 0 0 2010's 0 0 0 0 0

  10. Mississippi Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

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

    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 0 0 0 7,673 7,250 6,785 2010's 5,921 5,363 5,036 4,630 4,199

  11. Mississippi Natural Gas Gross Withdrawals from Oil Wells (Million Cubic

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

    Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 41,701 34,645 35,609 1970's 33,283 28,809 25,377 26,985 22,700 18,133 16,776 17,162 13,199 12,023 1980's 12,394 12,597 11,822 13,216 13,881 11,685 15,132 14,463 14,640 15,856 1990's 19,983 22,155 20,384 15,631 9,597 6,051 6,210 7,276 8,628 5,750 2000's 5,339 5,132 5,344 4,950 4,414 4,966 4,511 6,203 7,542 8,934 2010's 8,714 8,159 43,421 7,256 7,150

  12. Mississippi Natural Gas Gross Withdrawals from Shale Gas (Million Cubic

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

    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 0 2010's 0 0 0 0 0

  13. Missouri Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

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

    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 NA NA 2010's NA NA NA 0 0

  14. Montana Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

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

    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 7,230 12,241 11,630 11,721 13,154 14,496 12,376 2010's 9,920 6,691 3,731 1,623 5,766

  15. Wyoming Natural Gas Gross Withdrawals (Million Cubic Feet per...

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

    Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 5,624 5,636 5,666 5,613 5,495 5,656 5,823 5,730 5,658 6,063 6,164 6,284 2007 6,196 6,040 6,149 6,093...

  16. Alaska Natural Gas Gross Withdrawals (Million Cubic Feet per...

    Gasoline and Diesel Fuel Update (EIA)

    8,040 8,606 8,120 8,476 8,943 9,380 9,577 9,668 2010 9,389 9,849 9,966 9,107 8,009 7,666 6,641 6,593 8,809 9,442 9,534 10,214 2011 7,663 9,761 9,800 9,519 8,688 8,282 6,032...

  17. Virginia Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

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

    Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 81,624 86,275 101,567 106,408 2010's 107,736 112,219 107,383 99,542 92,599

  18. Wyoming Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

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

    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 0 0 0 445,665 563,274 590,205 2010's 569,667 508,739 429,731 328,780 261,863

  19. Nebraska Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

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

    Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 0 0 0 0 0 0 0 0 0 0 0 0 2007 0 0 0 0 0 0 0 0 0 0 0 0 2008 0 0 0 0 0 0 0 0 0 0 0 0 2009 0 0 0 0 0 0 0 0 0 0 0 0 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 NA NA NA NA NA NA NA NA NA NA NA NA 2015 NA NA NA NA NA NA NA NA NA NA NA NA

  20. Nevada Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

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

    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 0 0 2010's 0 0 0 0 0