National Library of Energy BETA

Sample records for gsf gross square

  1. Spreader beam analysis for the CASTOR GSF cask

    SciTech Connect

    Clements, E.P.

    1997-04-07

    The purpose of this report is to document the results of the 150% rated capacity load test performed by DynCorp Hoisting and Rigging on the CASTOR GSF special cask lifting beams. The two lifting beams were originally rated and tested at 20,000kg (44,000lb) by the cask manufacturer in Germany. The testing performed by DynCorp rated and tested the lifting beams to 30,000 kg (66,000 lb) +0%, -5%, for Hanford Site use. The CASTOR GSF cask, used to transport isotopic Heat Sources (canisters), must be lifted with its own designed lifting beam system (Figures 1, 2, and 3). As designed, the beam material is RSt 37-2 (equivalent to American Society for Testing and Materials [ASTM] A-570), the eye plate is St 52-2 (equivalent to ASTM A-516), and the lifting pin is St 50 (equivalent to ASTM A-515). The beam has two opposing 58 mm (2.3 in.) diameter by 120 mm(4.7 in.) length, high grade steel pins that engage the cask for lifting. The pins have a manual locking mechanism to prevent disengagement from the casks. The static, gross weight (loaded) of the cask 18,640 kg (41,000 lb) on the pins prevents movement of the pins during lifting. This is due to the frictional force of the cask on the pins when lifting begins.

  2. Samantha Gross

    Energy.gov [DOE]

    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...

  3. What is Gross Up?

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

    Gross up on relocation refers to money that is added to your pay to offset the federal and state tax deducted from the relocation reimbursement amount. You do not see the money in ...

  4. Michael Gross | Photosynthetic Antenna Research Center

    U.S. Department of Energy (DOE) - all 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...

  5. Jackson Square | Y-12 National Security Complex

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

    Jackson Square Jackson Square Construction of Jackson Square Shopping Center.

  6. SQUARE WAVE AMPLIFIER

    DOEpatents

    Leavitt, M.A.; Lutz, I.C.

    1958-08-01

    An amplifier circuit is described for amplifying sigmals having an alternating current component superimposed upon a direct current component, without loss of any segnnent of the alternating current component. The general circuit arrangement includes a vibrator, two square wave amplifiers, and recombination means. The amplifier input is connected to the vibrating element of the vibrator and is thereby alternately applied to the input of each square wave amplifier. The detailed circuitry of the recombination means constitutes the novelty of the annplifier and consists of a separate, dual triode amplifier coupled to the output of each square wave amplifier with a recombination connection from the plate of one amplifier section to a grid of one section of the other amplifier. The recombination circuit has provisions for correcting distortion caused by overlapping of the two square wave voltages from the square wave amplifiers.

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

    Energy Information Administration (EIA) (indexed site)

    AM" "Back to Contents","Data 1: West Virginia Natural Gas Gross Withdrawals (MMcf)" "Sourcekey","N9010WV2" "Date","West Virginia Natural Gas Gross Withdrawals (MMcf)" ...

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

    Energy Information Administration (EIA) (indexed site)

    ...2016 10:10:10 AM" "Back to Contents","Data 1: New York Natural Gas Gross Withdrawals (MMcf)" "Sourcekey","N9010NY2" "Date","New York Natural Gas Gross Withdrawals (MMcf)" ...

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

    Energy Information Administration (EIA) (indexed site)

    ...2016 10:10:09 AM" "Back to Contents","Data 1: New Mexico Natural Gas Gross Withdrawals (MMcf)" "Sourcekey","N9010NM2" "Date","New Mexico Natural Gas Gross Withdrawals (MMcf)" ...

  10. Alaska--State Offshore Natural Gas Gross Withdrawals (Million...

    Energy Information Administration (EIA) (indexed site)

    Gross Withdrawals (Million Cubic Feet) Alaska--State Offshore Natural Gas Gross ... Release Date: 06302016 Next Release Date: 07292016 Referring Pages: Offshore Gross ...

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

    Energy Information Administration (EIA) (indexed site)

    Gross Withdrawals (Million Cubic Feet) US--Federal Offshore Natural Gas Gross Withdrawals ... Release Date: 06302016 Next Release Date: 07292016 Referring Pages: Offshore Gross ...

  12. Louisiana--State Offshore Natural Gas Gross Withdrawals (Million...

    Energy Information Administration (EIA) (indexed site)

    Gross Withdrawals (Million Cubic Feet) Louisiana--State Offshore Natural Gas Gross ... Release Date: 06302016 Next Release Date: 07292016 Referring Pages: Offshore Gross ...

  13. Federal Offshore--Alabama Natural Gas Gross Withdrawals (Million...

    Energy Information Administration (EIA) (indexed site)

    Gross Withdrawals (Million Cubic Feet) Federal Offshore--Alabama Natural Gas Gross ... Release Date: 06302016 Next Release Date: 07292016 Referring Pages: Offshore Gross ...

  14. Texas--State Offshore Natural Gas Gross Withdrawals (Million...

    Energy Information Administration (EIA) (indexed site)

    Gross Withdrawals (Million Cubic Feet) Texas--State Offshore Natural Gas Gross Withdrawals ... Release Date: 06302016 Next Release Date: 07292016 Referring Pages: Offshore Gross ...

  15. Federal Offshore--Texas Natural Gas Gross Withdrawals (Million...

    Energy Information Administration (EIA) (indexed site)

    Gross Withdrawals (Million Cubic Feet) Federal Offshore--Texas Natural Gas Gross ... Release Date: 06302016 Next Release Date: 07292016 Referring Pages: Offshore Gross ...

  16. US--State Offshore Natural Gas Gross Withdrawals (Million Cubic...

    Energy Information Administration (EIA) (indexed site)

    Gross Withdrawals (Million Cubic Feet) US--State Offshore Natural Gas Gross Withdrawals ... Release Date: 06302016 Next Release Date: 07292016 Referring Pages: Offshore Gross ...

  17. Alabama--State Offshore Natural Gas Gross Withdrawals (Million...

    Energy Information Administration (EIA) (indexed site)

    Gross Withdrawals (Million Cubic Feet) Alabama--State Offshore Natural Gas Gross ... Release Date: 06302016 Next Release Date: 07292016 Referring Pages: Offshore Gross ...

  18. Federal Offshore--Louisiana Natural Gas Gross Withdrawals (Million...

    Energy Information Administration (EIA) (indexed site)

    Gross Withdrawals (Million Cubic Feet) Federal Offshore--Louisiana Natural Gas Gross ... Release Date: 06302016 Next Release Date: 07292016 Referring Pages: Offshore Gross ...

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

    Energy Information Administration (EIA) (indexed site)

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

  20. New Mexico Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    Shale Gas (Million Cubic Feet) New Mexico Natural Gas Gross Withdrawals from Shale Gas ... Natural Gas Gross Withdrawals from Shale Gas Wells New Mexico Natural Gas Gross ...

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

    Energy Information Administration (EIA) (indexed site)

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas Gross Withdrawals and Production",10,"Monthly","72016","01151989" ,"Release ...

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

    Energy Information Administration (EIA) (indexed site)

    ...ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Gross Withdrawals and Production",10,"Monthly","72016","01151989" ,"Release ...

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

    Energy Information Administration (EIA) (indexed site)

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas Gross Withdrawals and Production",10,"Monthly","72016","01151989" ,"Release ...

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

    Energy Information Administration (EIA) (indexed site)

    ...ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Gross Withdrawals and Production",10,"Monthly","72016","01151989" ,"Release ...

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

    Energy Information Administration (EIA) (indexed site)

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas Gross Withdrawals and Production",10,"Monthly","72016","01151989" ,"Release ...

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

    Energy Information Administration (EIA) (indexed site)

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Natural Gas Gross Withdrawals and Production",10,"Monthly","72016","01151989" ,"Release ...

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

    Energy Information Administration (EIA) (indexed site)

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas Gross Withdrawals and Production",10,"Monthly","72016","01151989" ,"Release ...

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

    Energy Information Administration (EIA) (indexed site)

    Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Gross Withdrawals and Production",10,"Monthly","72016","01151989" ,"Release ...

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

    Energy Information Administration (EIA) (indexed site)

    Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Gross Withdrawals and Production",10,"Monthly","72016","01151989" ,"Release ...

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

    Energy Information Administration (EIA) (indexed site)

    ...ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas Gross Withdrawals and Production",10,"Monthly","72016","01151991" ,"Release ...

  11. David J. Gross and the Strong Force

    Office of Scientific and Technical Information (OSTI)

    from Cal Alum David Gross (PhD '66) Shares Nobel Prize in Physics, University of California Berkeley Resources with Additional Information Additional information about David ...

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

    Energy Information Administration (EIA) (indexed site)

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Gross Withdrawals and Production",10,"Monthly","62016","01151989" ,"Release ...

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

    Energy Information Administration (EIA) (indexed site)

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas Gross Withdrawals and Production",10,"Monthly","62016","01151989" ,"Release ...

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

    Energy Information Administration (EIA) (indexed site)

    ...ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Gross Withdrawals and Production",10,"Monthly","62016","01151989" ,"Release ...

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

    Energy Information Administration (EIA) (indexed site)

    Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Gross Withdrawals and Production",10,"Monthly","62016","01151989" ,"Release ...

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

    Energy Information Administration (EIA) (indexed site)

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Natural Gas Gross Withdrawals and Production",10,"Monthly","62016","01151991" ,"Release ...

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

    Energy Information Administration (EIA) (indexed site)

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas Gross Withdrawals and Production",10,"Monthly","62016","01151989" ,"Release ...

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

    Energy Information Administration (EIA) (indexed site)

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Natural Gas Gross Withdrawals and Production",10,"Monthly","62016","01151989" ,"Release ...

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

    Energy Information Administration (EIA) (indexed site)

    ...ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Natural Gas Gross Withdrawals and Production",10,"Monthly","62016","01151989" ,"Release ...

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

    Energy Information Administration (EIA) (indexed site)

    Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Gross Withdrawals and Production",10,"Monthly","62016","01151989" ,"Release ...

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

    Energy Information Administration (EIA) (indexed site)

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas Gross Withdrawals and Production",10,"Monthly","62016","01151989" ,"Release ...

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

    Energy Information Administration (EIA) (indexed site)

    ...ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas Gross Withdrawals and Production",10,"Monthly","62016","01151991" ,"Release ...

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

    Energy Information Administration (EIA) (indexed site)

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas Gross Withdrawals and Production",10,"Monthly","62016","01151989" ,"Release ...

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

    Energy Information Administration (EIA) (indexed site)

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Oregon Natural Gas Gross Withdrawals and Production",10,"Monthly","62016","01151991" ,"Release ...

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

    Energy Information Administration (EIA) (indexed site)

    ...ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Gross Withdrawals and Production",10,"Monthly","62016","01151989" ,"Release ...

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

    Energy Information Administration (EIA) (indexed site)

    Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas Gross Withdrawals and Production",10,"Monthly","62016","01151991" ,"Release ...

  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. David J. Gross and the Strong Force

    U.S. Department of Energy (DOE) - all 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

  9. Generalized conjugate gradient squared

    SciTech Connect

    Fokkema, D.R.; Sleijpen, G.L.G.

    1994-12-31

    In order to solve non-symmetric linear systems of equations, the Conjugate Gradient Squared (CGS) is a well-known and widely used iterative method. In practice the method converges fast, often twice as fast as the Bi-Conjugate Gradient method. This is what you may expect, since CGS uses the square of the BiCG polynomial. However, CGS may suffer from its erratic convergence behavior. The method may diverge or the approximate solution may be inaccurate. BiCGSTAB uses the BiCG polynomial and a product of linear factors in an attempt to smoothen the convergence. In many cases, this has proven to be very effective. Unfortunately, the convergence of BiCGSTAB may stall when a linear factor (nearly) degenerates. BiCGstab({ell}) is designed to overcome this degeneration of linear factors. It generalizes BiCGSTAB and uses both the BiCG polynomial and a product of higher order factors. Still, CGS may converge faster than BiCGSTAB or BiCGstab({ell}). So instead of using a product of linear or higher order factors, it may be worthwhile to look for other polynomials. Since the BiCG polynomial is based on a three term recursion, a natural choice would be a polynomial based on another three term recursion. Possibly, a suitable choice of recursion coefficients would result in method that converges faster or as fast as CGS, but less erratic. It turns out that an algorithm for such a method can easily be formulated. One particular choice for the recursion coefficients leads to CGS. Therefore one could call this algorithm generalized CGS. Another choice for the recursion coefficients leads to BiCGSTAB. It is therefore possible to mix linear factors and some polynomial based on a three term recursion. This way one may get the best of both worlds. The authors will report on their findings.

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

    Energy Information Administration (EIA) (indexed site)

    ,,"(202) 586-8800",,,"10072016 7:57:22 AM" "Back to Contents","Data 1: Arkansas Natural Gas Gross Withdrawals and Production" "Sourcekey","N9010AR2","N9011AR2","N9012AR2","NGME...

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

    Energy Information Administration (EIA) (indexed site)

    ,,"(202) 586-8800",,,"10072016 7:57:21 AM" "Back to Contents","Data 1: Alabama Natural Gas Gross Withdrawals and Production" "Sourcekey","N9010AL2","N9011AL2","N9012AL2","NGME...

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

    Energy Information Administration (EIA) (indexed site)

    ,,"(202) 586-8800",,,"10072016 7:57:22 AM" "Back to Contents","Data 1: Alabama Natural Gas Gross Withdrawals and Production" "Sourcekey","N9010AL2","N9011AL2","N9012AL2","NGME...

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

    Energy Information Administration (EIA) (indexed site)

    ,,"(202) 586-8800",,,"08292016 11:11:29 AM" "Back to Contents","Data 1: Arkansas Natural Gas Gross Withdrawals and Production" "Sourcekey","N9010AR2","N9011AR2","N9012AR2","NGME...

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

    Energy Information Administration (EIA) (indexed site)

    ,,"(202) 586-8800",,,"08292016 11:11:29 AM" "Back to Contents","Data 1: Arizona Natural Gas Gross Withdrawals and Production" "Sourcekey","N9010AZ2","N9011AZ2","N9012AZ2","NGME...

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

    Energy Information Administration (EIA) (indexed site)

    ,,"(202) 586-8800",,,"08292016 11:11:30 AM" "Back to Contents","Data 1: Arizona Natural Gas Gross Withdrawals and Production" "Sourcekey","N9010AZ2","N9011AZ2","N9012AZ2","NGME...

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

    Energy Information Administration (EIA) (indexed site)

    ,,"(202) 586-8800",,,"08292016 11:11:28 AM" "Back to Contents","Data 1: Alabama Natural Gas Gross Withdrawals and Production" "Sourcekey","N9010AL2","N9011AL2","N9012AL2","NGME...

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

    Energy Information Administration (EIA) (indexed site)

    ,,"(202) 586-8800",,,"4292016 6:48:19 AM" "Back to Contents","Data 1: Alaska Natural Gas Gross Withdrawals and Production" "Sourcekey","N9010AK2","N9011AK2","N9012AK2","NGME...

  18. Illinois Natural Gas Gross Withdrawals from Shale Gas (Million...

    Gasoline and Diesel Fuel Update

    Release Date: 09302016 Next Release Date: 10312016 Referring Pages: Natural Gas Gross Withdrawals from Shale Gas Wells Illinois Natural Gas Gross Withdrawals and Production ...

  19. Floating Offshore Wind in California: Gross Potential for Jobs...

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

    Floating Offshore Wind in California: Gross Potential for Jobs and Economic Impacts from ... April 2016 Floating Offshore Wind in California: Gross Potential for Jobs ...

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

    Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","Federal Offshore--Texas Natural Gas Gross Withdrawals ... AM" "Back to Contents","Data 1: Federal Offshore--Texas Natural Gas Gross Withdrawals ...

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

    Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","Federal Offshore--Alabama Natural Gas Gross Withdrawals ... AM" "Back to Contents","Data 1: Federal Offshore--Alabama Natural Gas Gross Withdrawals ...

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

    Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","Louisiana--State Offshore Natural Gas Gross Withdrawals ... to Contents","Data 1: Louisiana--State Offshore Natural Gas Gross Withdrawals (MMcf)" ...

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

    Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","Alaska--State Offshore Natural Gas Gross Withdrawals ... to Contents","Data 1: Alaska--State Offshore Natural Gas Gross Withdrawals (MMcf)" ...

  4. ,"Federal Offshore--Louisiana Natural Gas Gross Withdrawals ...

    Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","Federal Offshore--Louisiana Natural Gas Gross Withdrawals ... AM" "Back to Contents","Data 1: Federal Offshore--Louisiana Natural Gas Gross Withdrawals ...

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

    Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","Alabama--State Offshore Natural Gas Gross Withdrawals ... to Contents","Data 1: Alabama--State Offshore Natural Gas Gross Withdrawals (MMcf)" ...

  6. 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 Scenarios ...

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

    Annual Energy Outlook

    Release Date: 05312016 Next Release Date: 06302016 Referring Pages: Natural Gas Gross Withdrawals from Gas Wells Nevada Natural Gas Gross Withdrawals and Production Natural Gas ...

  8. Property:DailyOpWaterUseGross | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

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

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

    Energy Information Administration (EIA) (indexed site)

    Gulf of Mexico Natural Gas Gross Withdrawals and Production" ,"Click worksheet name or tab ... for" ,"Data 1","Federal Offshore Gulf of Mexico Natural Gas Gross Withdrawals and ...

  10. Solar Energy Squared, LLC | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    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...

  11. Oregon Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    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 ...

  12. Kansas Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    10 2011 2012 2013 2014 2015 View History Gross Withdrawals 325,591 309,952 296,299 292,467 286,080 292,450 1967-2015 From Gas Wells 247,651 236,834 264,610 264,223 260,715 ...

  13. Sustainable Federal Buildings 2016 Guiding Principles

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

    Sustainable Federal Buildings 2016 Guiding Principles 1  Executive Order 13693 section 3(h)(ii) states that agencies will identify "...a percentage of at least 15 percent, by number or total square footage," of their "existing buildings above 5,000 gross square feet (GSF) that will, by fiscal year 2025, comply with the revised Guiding Principles for Federal Leadership in...Sustainable Buildings (Guiding Principles)...and making annual progress toward 100 percent conformance

  14. Kentucky Natural Gas Gross Withdrawals from Coalbed Wells (Million...

    Energy Information Administration (EIA) (indexed site)

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

  15. Maryland Natural Gas Gross Withdrawals from Coalbed Wells (Million...

    Energy Information Administration (EIA) (indexed site)

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

  16. Nebraska Natural Gas Gross Withdrawals from Coalbed Wells (Million...

    Energy Information Administration (EIA) (indexed site)

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

  17. New York Natural Gas Gross Withdrawals from Coalbed Wells (Million...

    Energy Information Administration (EIA) (indexed site)

    Coalbed Wells (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 ... Natural Gas Gross Withdrawals from Coalbed Wells New York Natural Gas Gross Withdrawals ...

  18. Missouri Natural Gas Gross Withdrawals from Oil Wells (Million...

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 0 ... Referring Pages: Natural Gas Gross Withdrawals from Oil Wells Missouri Natural Gas Gross ...

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

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

    Michigan Natural Gas 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 ...

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

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

    Maryland Natural Gas 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 ...

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

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

    Indiana Natural Gas 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 ...

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

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

    Colorado Natural Gas 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 ...

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

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

    Louisiana Natural Gas 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 ...

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

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

    Kansas Natural Gas 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 ...

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

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

    Montana Natural Gas 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 ...

  6. Oregon Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Oregon Natural Gas Gross Withdrawals (Million Cubic Feet) Oregon Natural Gas Gross Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1996 159 ...

  7. Nevada Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Nevada Natural Gas Gross Withdrawals (Million Cubic Feet) Nevada Natural Gas Gross Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 3 3 5 ...

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

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

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

  9. Ohio Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Ohio Natural Gas Gross Withdrawals (Million Cubic Feet) Ohio Natural Gas Gross Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 13,138 ...

  10. Pennsylvania Natural Gas Gross Withdrawals (Million Cubic Feet...

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

    Pennsylvania Natural Gas Gross Withdrawals (Million Cubic Feet) Pennsylvania Natural Gas Gross Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec ...

  11. Mississippi Natural Gas Gross Withdrawals (Million Cubic Feet...

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

    Mississippi Natural Gas 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 ...

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

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

    Nebraska Natural Gas Gross Withdrawals (Million Cubic Feet) Nebraska Natural Gas Gross Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 57 ...

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

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

    Oklahoma Natural Gas Gross Withdrawals (Million Cubic Feet) Oklahoma Natural Gas Gross Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 ...

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

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

    Florida Natural Gas Gross Withdrawals (Million Cubic Feet) Florida Natural Gas Gross Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 562 ...

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

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

    Missouri Natural Gas 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 ...

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

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

    Illinois Natural Gas 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 ...

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

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

    Kentucky Natural Gas 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 ...

  18. GSF Energy Inc | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    of of montauk Energy Capital and has over 25 years of experience in LFG recovery and process operating. Coordinates: 40.438335, -79.997459 Show Map Loading map......

  19. ,"West Virginia Natural Gas Gross Withdrawals from Shale Gas...

    Energy Information Administration (EIA) (indexed site)

    AM" "Back to Contents","Data 1: West Virginia Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSWVMMCF" "Date","West Virginia ...

  20. ,"California Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    AM" "Back to Contents","Data 1: California Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSCAMMCF" "Date","California Natural ...

  1. ,"Mississippi Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    AM" "Back to Contents","Data 1: Mississippi Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSMSMMCF" "Date","Mississippi Natural ...

  2. ,"Louisiana Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    AM" "Back to Contents","Data 1: Louisiana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSLAMMCF" "Date","Louisiana Natural ...

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

    Energy Information Administration (EIA) (indexed site)

    Of Series","Frequency","Latest Data for" ,"Data 1","West Virginia Natural Gas Gross Withdrawals and Production",10,"Monthly","22016","1151991" ,"Release ...

  4. Deming's General Least Square Fitting

    Energy Science and Technology Software Center

    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,more » and 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

  5. Blue Square Energy BSE | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    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...

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

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

    Gross Gamma-Ray Calibration Blocks (May 1978) Gross Gamma-Ray Calibration Blocks (May 1978) Gross Gamma-Ray Calibration Blocks (May 1978) Gross Gamma-Ray Calibration Blocks (May 1978) (1.74 MB) 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

  7. ,"Virginia Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    8:00:06 AM" "Back to Contents","Data 1: Virginia Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSVAMMCF" "Date","Virginia Natural Gas ...

  8. ,"Utah Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    8:00:06 AM" "Back to Contents","Data 1: Utah Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSUTMMCF" "Date","Utah Natural Gas ...

  9. ,"Florida Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    8:00:00 AM" "Back to Contents","Data 1: Florida Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSFLMMCF" "Date","Florida Natural Gas ...

  10. ,"Arkansas Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    7:59:58 AM" "Back to Contents","Data 1: Arkansas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSARMMCF" "Date","Arkansas Natural Gas ...

  11. ,"Montana Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    8:00:02 AM" "Back to Contents","Data 1: Montana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSMTMMCF" "Date","Montana Natural Gas ...

  12. ,"Wyoming Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    8:00:06 AM" "Back to Contents","Data 1: Wyoming Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSWYMMCF" "Date","Wyoming Natural Gas ...

  13. ,"Indiana Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    8:00:00 AM" "Back to Contents","Data 1: Indiana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSINMMCF" "Date","Indiana Natural Gas ...

  14. ,"Missouri Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    8:00:02 AM" "Back to Contents","Data 1: Missouri Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSMOMMCF" "Date","Missouri Natural Gas ...

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

    Gasoline and Diesel Fuel Update

    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 ...

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

    Energy Information Administration (EIA) (indexed site)

    7:59:58 AM" "Back to Contents","Data 1: Alabama Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSALMMCF" "Date","Alabama Natural Gas ...

  17. ,"Michigan Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    8:00:01 AM" "Back to Contents","Data 1: Michigan Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSMIMMCF" "Date","Michigan Natural Gas ...

  18. ,"Arizona Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    7:59:59 AM" "Back to Contents","Data 1: Arizona Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSAZMMCF" "Date","Arizona Natural Gas ...

  19. ,"Kansas Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    8:00:00 AM" "Back to Contents","Data 1: Kansas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSKSMMCF" "Date","Kansas Natural Gas ...

  20. ,"Colorado Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    7:59:59 AM" "Back to Contents","Data 1: Colorado Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSCOMMCF" "Date","Colorado Natural Gas ...

  1. ,"Wyoming Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    8:00:07 AM" "Back to Contents","Data 1: Wyoming Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSWYMMCF" "Date","Wyoming Natural Gas ...

  2. ,"Florida Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    7:59:59 AM" "Back to Contents","Data 1: Florida Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSFLMMCF" "Date","Florida Natural Gas ...

  3. ,"Missouri Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    8:00:01 AM" "Back to Contents","Data 1: Missouri Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSMOMMCF" "Date","Missouri Natural Gas ...

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

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

    Housing, health care, and food are the only categories with greater shares of the GDP. GDP ... Gross Domestic Product, 2007 Housing 24.3% Health Care 17.4% Food 11.6% ...

  5. Other States Natural Gas Gross Withdrawals from Gas Wells (Million...

    Energy Information Administration (EIA) (indexed site)

    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 ...

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

    Energy Information Administration (EIA) (indexed site)

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

    Gasoline and Diesel Fuel Update

    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 ...

  8. Missouri Natural Gas Gross Withdrawals from Oil Wells (Million...

    Gasoline and Diesel Fuel Update

    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 ...

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

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

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

  10. Montana Natural Gas Gross Withdrawals from Gas Wells (Million...

    Energy Information Administration (EIA) (indexed site)

    Gas Wells (Million Cubic Feet) Montana Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 4,561 3,826 4,106 ...

  11. Utah Natural Gas Gross Withdrawals from Gas Wells (Million Cubic...

    Energy Information Administration (EIA) (indexed site)

    Gas Wells (Million Cubic Feet) Utah Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 21,638 18,808 21,037 ...

  12. Oklahoma Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    Shale Gas (Million Cubic Feet) Oklahoma Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 7,051 6,368 ...

  13. Louisiana Natural Gas Gross Withdrawals from Gas Wells (Million...

    Energy Information Administration (EIA) (indexed site)

    Gas Wells (Million Cubic Feet) Louisiana Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 425,704 369,500 ...

  14. Ohio Natural Gas Gross Withdrawals from Shale Gas (Million Cubic...

    Energy Information Administration (EIA) (indexed site)

    Shale Gas (Million Cubic Feet) Ohio Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 1 1 1 1 1 1 1 1 1 1 ...

  15. Michigan Natural Gas Gross Withdrawals from Gas Wells (Million...

    Energy Information Administration (EIA) (indexed site)

    Gas Wells (Million Cubic Feet) Michigan Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 9,579 8,593 ...

  16. Montana Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    Shale Gas (Million Cubic Feet) Montana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 1,239 1,119 1,239 ...

  17. Michigan Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    Shale Gas (Million Cubic Feet) Michigan Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 11,582 10,461 ...

  18. Louisiana Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    Shale Gas (Million Cubic Feet) Louisiana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 1,273 1,150 ...

  19. Oregon Natural Gas Gross Withdrawals from Gas Wells (Million...

    Energy Information Administration (EIA) (indexed site)

    from Gas Wells (Million Cubic Feet) Oregon Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 246 244 232 ...

  20. Colorado Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    Shale Gas (Million Cubic Feet) Colorado Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 11,749 10,612 ...

  1. Mississippi Natural Gas Gross Withdrawals from Gas Wells (Million...

    Energy Information Administration (EIA) (indexed site)

    Gas Wells (Million Cubic Feet) Mississippi Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 14,797 13,076 ...

  2. Wyoming Natural Gas Gross Withdrawals from Gas Wells (Million...

    Energy Information Administration (EIA) (indexed site)

    Gas Wells (Million Cubic Feet) Wyoming Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 58,111 51,244 ...

  3. Wyoming Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    Shale Gas (Million Cubic Feet) Wyoming Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 331 299 331 320 ...

  4. Colorado Natural Gas Gross Withdrawals from Gas Wells (Million...

    Energy Information Administration (EIA) (indexed site)

    Gas Wells (Million Cubic Feet) Colorado Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 15,390 18,697 ...

  5. Pennsylvania Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    from Shale Gas (Million Cubic Feet) Pennsylvania Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0 0 0 ...

  6. Texas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic...

    Energy Information Administration (EIA) (indexed site)

    Shale Gas (Million Cubic Feet) Texas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 107,415 97,020 ...

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

    Annual Energy Outlook

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

    Energy Information Administration (EIA) (indexed site)

    Gas Wells (Million Cubic Feet) Federal Offshore--Gulf of Mexico Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov ...

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

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

    With the growth of VMT in 2015, the gap between the two series has narrowed for the first time since the Great Recession. GDP and VMT Trends, 1960-2015 Graph showing gross national ...

  10. Property:CoolingTowerWaterUseSummerGross | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

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

  11. Elmo bumpy square plasma confinement device

    DOEpatents

    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.

  12. A spectral mimetic least-squares method

    DOE PAGES [OSTI]

    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

  13. A spectral mimetic least-squares method

    SciTech Connect

    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.

  14. Gross alpha analytical modifications that improve wastewater treatment compliance

    SciTech Connect

    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)

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

    Gasoline and Diesel Fuel Update

    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 317 313 314 307 308 303 307 309 309 312 320 329 2007 330 329 324 320 328 330 325 331 335 334 340 339 2008 334 330 332 331 327 323 324 327 330 330 326 302 2009 304 311 305 302 297 292 286 281 279 275 268 263 2010 265 264 267 265 259 258 256 251 251 249 247 236 2011 229 223 221 221 219 217 218 217 225 211 208 206 2012 202 202

  16. Ohio Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    Ohio Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Ohio Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 247 244 238 236 230 228 224 224 228 240 249 252 2007 252 249 243 240 234 232 228 228 233 245 254 257 2008 243 232 234 232 226 224 220 220 224 236 245 248 2009 254 251 245 242 236 234 230 230 235 247 256 259 2010 223 221 215 213 208 206 203 203 206 217 225 228 2011 226 223 217 215 210 208 204 204 208 220 227 230

  17. Virginia Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    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 271 275 277 274 280 287 282 285 290 284 291 290 2007 295 299 302 298 304 312 307 310 316 309 316 316 2008 338 331 346 342 349 358 352 355 362 354 362 362 2009 375 376 369 377 379 380 394 395 396 400 404 383 2010 404 406 400 397 403 403 403 404 408 401 406 406 2011 414 430 413 409 410 407 411 418 410 416 413 419 2012 421 414

  18. Alabama Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    Gross Withdrawals (Million Cubic Feet per Day) Alabama Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 850 862 874 869 858 823 817 832 816 829 815 822 2007 815 808 802 769 774 767 768 815 805 794 792 814 2008 785 794 775 748 783 770 747 743 693 760 749 753 2009 689 749 740 724 730 727 726 704 686 637 622 686 2010 664 670 700 684 683 677 631 628 603 684 669 620 2011 644 651 648 639 581 626 627 629 522 546 501 575 2012 627 629

  19. California Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    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 998 992 986 967 989 976 962 924 934 917 927 909 2007 971 965 958 942 963 950 936 898 907 887 899 883 2008 953 914 940 925 945 932 919 881 890 870 882 866 2009 876 871 864 850 869 857 845 810 819 801 812 797 2010 915 909 901 883 906 895 883 848 857 839 849 836 2011 798 816 790 796 776 776 757 748 734 714 744 732 2012 685 697

  20. Kentucky Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    Gross Withdrawals (Million Cubic Feet per Day) Kentucky Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 190 280 281 279 248 310 196 231 398 95 257 377 2007 115 404 361 105 315 441 45 268 270 240 268 320 2008 175 265 281 299 316 316 463 379 289 283 479 198 2009 254 445 151 174 402 368 109 359 391 339 339 406 2010 332 624 146 355 356 344 394 335 382 623 167 408 2011 308 359 379 366 292 327 365 295 339 307 340 410 2012 290 290 290

  1. Mississippi Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    Mississippi Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0 0 0 0 0 0 0 0 0 0 0 2008 0 0 0 0 0 0 0 0 ...

  2. Nebraska Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 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 ...

  3. New Mexico Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    Gross Withdrawals 1,341,475 1,287,682 1,276,296 1,247,394 1,265,579 1,289,908 1967-2015 From Gas Wells 616,134 556,024 653,057 588,127 535,181 1967-2014 From Oil Wells 238,580 ...

  4. Latin square three dimensional gage master

    DOEpatents

    Jones, Lynn L.

    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.

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

    OpenEI (Open Energy Information) [EERE & EIA]

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

  6. Hybrid least squares multivariate spectral analysis methods

    DOEpatents

    Haaland, David M.

    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.

  7. Optical inverse-square displacement sensor

    DOEpatents

    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##

  8. Optical inverse-square displacement sensor

    DOEpatents

    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.

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

    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

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

    Energy Information Administration (EIA) (indexed site)

    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 Year-9 1990's 5,296,865 5,461,594 5,518,978 5,525,982 5,626,448 5,665,074 5,738,595 5,526,033 2000's 5,681,726 5,698,798 5,603,941 5,737,755 5,688,972 5,969,905 6,301,649 6,931,629 7,753,869 7,615,836 2010's 7,565,123 7,910,898 8,127,004 8,285,436 8,647,988 8,791,961 - = No Data Reported; -- = Not Applicable; NA = Not

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

    Energy Information Administration (EIA) (indexed site)

    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

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

    Energy Information Administration (EIA) (indexed site)

    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 1,907,296 1,731,680 - = No Data Reported; -- = Not Applicable; NA = Not

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

    Energy Information Administration (EIA) (indexed site)

    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 70,829 64,184 - = No Data Reported; -- = Not Applicable; NA = Not

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

    Energy Information Administration (EIA) (indexed site)

    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 2,803,410 2,804,644 - = No Data Reported; -- = Not Applicable; NA = Not

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

    Energy Information Administration (EIA) (indexed site)

    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 273,136 237,388 214,509 219,386 218,668 217,517 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

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

    Energy Information Administration (EIA) (indexed site)

    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. Federal Offshore California Natural Gas Gross Withdrawals (Million Cubic

    Energy Information Administration (EIA) (indexed site)

    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

  18. Mississippi Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    Gross Withdrawals (Million Cubic Feet per Day) Mississippi Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 520 546 489 552 551 583 595 593 606 630 653 653 2007 678 690 709 736 749 756 714 717 752 809 845 813 2008 847 877 880 896 929 913 927 948 945 1,046 1,057 1,091 2009 1,079 1,098 941 876 853 840 880 916 917 964 1,084 1,161 2010 1,040 1,011 1,055 960 1,024 1,048 1,090 1,110 1,180 1,200 1,262 1,219 2011 1,233 1,223 1,201 1,236

  19. Pennsylvania Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    Gross Withdrawals (Million Cubic Feet per Day) Pennsylvania Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 503 534 487 469 459 480 455 469 481 481 465 505 2007 521 553 505 486 475 497 471 486 498 499 482 523 2008 567 581 549 529 517 540 512 529 542 543 524 569 2009 783 832 758 730 714 746 708 731 749 749 724 785 2010 733 733 733 1,284 1,284 1,284 1,779 1,779 1,779 2,461 2,461 2,461 2011 2,718 2,718 2,718 3,178 3,178 3,178

  20. Tennessee Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    Tennessee Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Tennessee Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 7 7 7 7 6 6 7 8 8 8 8 8 2007 10 10 10 10 10 10 11 11 11 12 12 12 2008 12 12 12 12 11 11 13 13 14 14 15 15 2009 14 14 14 14 13 13 15 15 16 16 17 17 2010 13 13 13 13 13 12 14 15 15 15 16 16 2011 13 13 12 12 12 12 14 14 14 14 15 15 2012 16 16 16 16 16 16 16 16 16 16 16 16 2013 15 15 15 15 15 15 15 15 15 15

  1. Arkansas Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    Arkansas Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Arkansas Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 600 607 639 654 681 718 732 775 808 856 899 923 2007 596 603 636 651 680 717 731 774 810 861 899 923 2008 940 1,005 1,065 1,104 1,142 1,196 1,256 1,313 1,316 1,375 1,422 1,517 2009 1,605 1,627 1,679 1,774 1,816 1,877 1,839 2,047 1,571 2,028 2,217 2,273 2010 2,263 2,295 2,340 2,450 2,471 2,517 2,582 2,660

  2. Florida Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    Florida Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Florida Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 8 8 9 9 8 7 8 8 8 7 7 7 2007 6 6 6 6 6 5 5 5 6 5 5 5 2008 8 8 9 8 8 7 7 7 8 7 7 7 2009 1 1 1 1 1 1 1 1 1 1 1 1 2010 19 30 27 34 33 32 37 49 50 48 50 49 2011 49 54 48 50 49 51 42 34 45 47 47 47 2012 51 50 49 53 36 37 43 56 60 57 67 53 2013 55 54 47 23 37 45 44 59 53 55 58 62 2014 8 9 9 10 8 8 9 9 9 8 8 8

  3. Illinois Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 44,712 56,555 53,775 2000's 47,189 46,801 81,867 32,168 30,624 58,418 42,729 62,567 34,586 33,214 2010's 45,900 47,510 89,300 52,266 42,538 83,570

    Gross Withdrawals (Million Cubic Feet per Day) Illinois Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 1 1 1 0 0 1 0 0 0 0 0 0 2007 4 5 4 4 4 4 3 3 3 3 3 4 2008 4 4 4 3 3 4 3 3 3 3 3 3

  4. Indiana Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    Gross Withdrawals (Million Cubic Feet per Day) Indiana Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 7 8 8 8 8 8 6 8 9 9 9 9 2007 9 8 9 11 10 9 10 11 10 12 12 7 2008 11 13 13 14 14 13 13 12 12 14 14 11 2009 14 11 14 14 14 13 12 14 12 15 15 15 2010 15 16 14 17 15 18 19 18 21 24 24 23 2011 25 22 26 25 26 25 24 24 25 25 25 25 2012 20 25 26 25 24 24 24 25 25 24 24 24 2013 23 23 23 23 23 23 22 21 22 17 22 19 2014 16 19 20 20 19 17

  5. Kansas Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    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 1,035 1,041 1,046 1,041 1,057 1,030 1,024 988 979 975 968 2007 1,034 1,021 1,027 1,031 1,026 1,043 1,015 1,010 974 965 962 954 2008 1,017 1,028 1,032 1,024 979 1,024 1,034 1,033 1,032 1,026 1,092 988 2009 1,009 1,018 994 984 994 976 952 985 972 953 951 901 2010 903 923 911 907 812 902 876 904 890 899 895 886 2011 873 838

  6. Michigan Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    Gross Withdrawals (Million Cubic Feet per Day) Michigan Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 665 635 896 482 548 1,023 668 792 739 717 550 1,103 2007 941 681 675 563 869 679 741 790 832 695 776 642 2008 439 435 438 429 433 435 437 443 436 434 424 422 2009 408 412 503 404 388 406 482 402 427 392 511 504 2010 383 381 379 374 373 374 371 379 378 371 370 365 2011 394 399 399 399 393 390 393 395 399 391 393 385 2012 362

  7. Property:CoolingTowerWaterUseWinterGross | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

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

  8. Property:CoolingTowerWaterUseAnnlAvgGross | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

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

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

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

    June 12 (Monday) | Jefferson Lab Nobel winner David Gross gives public lecture at Jefferson Lab on June 12 (Monday) 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

  10. Total least squares for anomalous change detection

    SciTech Connect

    Theiler, James P; Matsekh, Anna M

    2010-01-01

    A family of difference-based anomalous change detection algorithms is derived from a total least squares (TLSQ) framework. This provides an alternative to the well-known chronochrome algorithm, which is derived from ordinary least squares. In both cases, the most anomalous changes are identified with the pixels that exhibit the largest residuals with respect to the regression of the two images against each other. The family of TLSQ-based anomalous change detectors is shown to be equivalent to the subspace RX formulation for straight anomaly detection, but applied to the stacked space. However, this family is not invariant to linear coordinate transforms. On the other hand, whitened TLSQ is coordinate invariant, and furthermore it is shown to be equivalent to the optimized covariance equalization algorithm. What whitened TLSQ offers, in addition to connecting with a common language the derivations of two of the most popular anomalous change detection algorithms - chronochrome and covariance equalization - is a generalization of these algorithms with the potential for better performance.

  11. Augmented classical least squares multivariate spectral analysis

    DOEpatents

    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.

  12. Augmented Classical Least Squares Multivariate Spectral Analysis

    DOEpatents

    Haaland, David M.; Melgaard, David K.

    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.

  13. Augmented Classical Least Squares Multivariate Spectral Analysis

    DOEpatents

    Haaland, David M.; Melgaard, David K.

    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.

  14. New York State oil company gross receipts taxation

    SciTech Connect

    Brown, P.E., Jr.

    1983-12-01

    New York's Governor Cuomo was able to mediate a settlement with 18 major oil companies subject to gross receipts taxation. The compromise was intended to end three years of litigation and to assure a tax revenue flow to the state of hundreds of millions of dollars. It represents New York's effort to single out a handful of large national companies for special burdens and a final resolution of a dispute over the state's attempt to prevent these companies from passing through their tax liabilities to consumers in the prices of petroleum products. This article reviews oil company taxation in New York State and the effects of the recent accord. 95 references.

  15. Classical least squares multivariate spectral analysis

    DOEpatents

    Haaland, David M.

    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.

  16. Hybrid least squares multivariate spectral analysis methods

    DOEpatents

    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.

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

    Energy Information Administration (EIA) (indexed site)

    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 5,805 5,146 - = No Data Reported;

  18. Nebraska Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    Gross Withdrawals (Million Cubic Feet per Day) Nebraska Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 3 3 3 3 3 4 4 3 3 3 3 3 2007 2 3 3 3 4 4 4 4 5 7 6 6 2008 8 9 8 8 8 8 9 8 9 9 9 8 2009 9 10 10 9 9 9 7 7 7 7 7 6 2010 6 6 6 6 7 6 6 6 6 6 6 5 2011 5 5 5 6 5 6 6 6 6 5 5 5 2012 5 5 5 3 4 4 3 3 3 3 3 3 2013 3 3 3 3 3 3 3 3 3 4 2 4 2014 1 1 1 1 1 1 1 1 1 1 1 1 2015 1 1 1 1 1 1 2 2 2 2 1 1 2016 NA NA NA NA NA NA NA NA - = No Data

  19. Oklahoma Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    Gross Withdrawals (Million Cubic Feet per Day) Oklahoma Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 4,412 4,442 4,472 4,563 4,567 4,760 4,700 4,664 4,722 4,747 4,732 4,739 2007 4,634 4,850 5,019 4,778 4,979 4,916 4,902 4,924 4,892 4,945 4,909 4,888 2008 5,018 5,144 5,074 5,208 5,215 5,241 5,256 4,896 5,224 5,126 5,145 5,318 2009 5,322 5,433 5,262 5,207 5,325 5,331 5,293 5,241 5,076 5,055 5,067 4,923 2010 4,915 4,976 5,005

  20. Oregon Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    Gross Withdrawals (Million Cubic Feet per Day) Oregon Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 2 2 2 2 2 2 2 1 2 1 1 1 2007 2 2 1 1 1 1 1 1 1 0 1 1 2008 3 2 2 1 2 2 2 2 3 3 2 3 2009 2 2 2 2 2 2 1 2 1 1 2 8 2010 6 7 5 5 5 4 3 1 2 2 3 4 2011 5 6 4 3 4 4 5 3 2 3 3 3 2012 3 2 2 2 3 2 2 1 1 2 2 3 2013 3 3 2 2 3 2 2 1 1 2 2 3 2014 4 3 3 3 4 4 4 3 2 2 3 3 2015 3 2 2 2 3 1 2 2 2 2 3 3 2016 NA NA NA NA NA NA NA NA - = No Data

  1. Texas Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    Gross Withdrawals (Million Cubic Feet per Day) Texas Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 17,026 16,952 17,141 17,220 17,297 17,234 17,273 17,375 17,575 17,553 17,641 17,679 2007 17,566 18,044 18,509 18,549 18,805 19,080 19,125 19,431 19,564 19,755 20,088 20,268 2008 20,241 20,613 20,917 21,066 21,391 21,446 21,547 21,777 20,435 21,948 22,218 22,112 2009 22,211 22,025 22,007 21,633 21,304 21,058 20,772 20,705 20,303

  2. Utah Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    Gross Withdrawals (Million Cubic Feet per Day) Utah Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 919 931 941 945 953 956 948 987 1,010 1,023 1,046 1,053 2007 997 1,050 1,093 1,098 1,126 1,083 1,091 1,098 984 900 1,057 1,092 2008 1,092 1,130 1,148 1,185 1,196 1,198 1,200 1,277 1,276 1,241 1,275 1,259 2009 1,273 1,289 1,300 1,278 1,254 1,218 1,224 1,222 1,178 1,195 1,203 1,148 2010 1,146 1,169 1,188 1,223 1,234 1,216 1,198

  3. Wyoming Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    Gross Withdrawals (Million Cubic Feet per Day) Wyoming Natural Gas Gross Withdrawals (Million Cubic 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 6,046 6,085 6,094 6,179 6,176 6,047 6,512 6,604 2008 6,469 6,436 6,722 6,767 6,771 6,839 6,940 6,835 6,447 6,909 7,126 7,297 2009 7,067 7,220 7,135 7,028 6,957 7,030 6,446 6,746 6,461 7,010 7,256 7,057 2010 7,074 7,092 7,110

  4. Alaska Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    Gross Withdrawals (Million Cubic Feet per Day) Alaska Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 9,244 9,681 9,288 8,745 7,770 8,330 7,865 8,192 8,642 9,084 9,268 9,369 2007 10,019 10,510 10,078 9,495 8,441 9,040 8,531 8,899 9,389 9,855 10,059 10,159 2008 9,833 9,963 9,894 9,323 8,290 8,875 8,375 8,739 9,221 9,674 9,876 9,972 2009 9,533 10,007 9,594 9,042 8,040 8,606 8,120 8,476 8,943 9,380 9,577 9,668 2010 9,389 9,849

  5. Arizona Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    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 Nov Dec 2006 1 2 2 2 2 2 2 2 2 2 2 2 2007 2 2 2 1 2 2 2 2 2 2 2 2 2008 2 2 2 2 2 1 1 1 1 2 1 1 2009 1 2 2 2 2 2 2 2 2 2 2 2 2010 1 1 1 0 0 1 1 0 0 0 0 0 2011 1 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 NA NA NA NA NA NA

  6. Colorado Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    Gross Withdrawals (Million Cubic Feet per Day) Colorado Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 3,344 3,357 3,340 3,314 3,325 3,313 3,299 3,357 3,329 3,380 3,369 3,202 2007 3,377 3,358 3,396 3,475 3,462 3,485 3,477 3,393 3,617 3,456 3,543 3,209 2008 3,707 3,645 3,679 3,900 3,707 3,576 3,834 4,056 4,049 3,860 3,978 3,998 2009 4,330 4,353 4,298 4,238 4,244 4,149 4,148 4,104 4,032 3,985 4,025 3,810 2010 4,233 4,350 4,295

  7. Louisiana Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    Gross Withdrawals (Million Cubic Feet per Day) Louisiana Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 3,649 3,687 3,775 3,772 3,822 3,858 3,789 3,785 3,810 3,799 3,786 3,776 2007 3,718 3,672 3,750 3,794 3,866 3,875 3,869 3,759 3,784 3,789 3,785 3,793 2008 3,797 3,791 3,820 3,852 3,934 3,989 4,008 3,896 2,960 3,718 3,916 3,802 2009 3,829 3,925 3,941 4,034 4,119 4,134 4,220 4,382 4,448 4,616 4,801 4,772 2010 4,930 5,193 5,385

  8. 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

  9. 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 - Dataset | Department of Energy Fact #904: December 21, 2015 Gross Domestic Product and Vehicle Travel: Both Increased during 2015 - Dataset Fact #904: December 21, 2015 Gross Domestic Product and Vehicle Travel: Both Increased during 2015 - Dataset Excel file and dataset for Gross Domestic Product and Vehicle Travel: Both Increased during 2015 fotw#904_web_rev.xlsx (19.75 KB) More Documents & Publications Vehicle Technologies Office Spring 2016 Quarterly

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

    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

  11. U.S. Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    Period: Monthly Annual 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 26,056,893 26,816,085 28,479,026 29,542,313 30,005,254 31,895,427 1936-2014 From Gas Wells 14,414,287 13,247,498 12,291,070 12,504,227 11,255,616 1967-2013 From Oil Wells 5,674,120 5,834,703 5,907,919 4,965,833 5,427,676 1967-2013 From Shale Gas Wells 3,958,315 5,817,122

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

    SciTech Connect

    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.

  13. Missouri Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    Missouri Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0 0 0 0 0 0 0 0 0 0 0 2008 NA NA NA NA NA NA NA NA NA NA NA NA 2009 NA NA NA NA NA NA NA NA NA NA NA NA 2010 NA NA NA NA NA NA NA NA NA NA NA NA 2011 NA NA NA NA NA NA NA NA NA NA NA NA 2012 NA NA NA NA NA NA NA NA NA NA NA NA 2013 NA NA NA NA NA NA NA NA NA NA NA NA 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA

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

    SciTech Connect

    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.

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

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

    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) Grade Assignments for Models Used for Calibration of Gross-Count Gamma-Ray Logging Systems (December 1983) (2.28 MB)

  16. 2-D weighted least-squares phase unwrapping

    DOEpatents

    Ghiglia, Dennis C.; Romero, Louis A.

    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.

  17. 2-D weighted least-squares phase unwrapping

    DOEpatents

    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.

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

    Energy Information Administration (EIA) (indexed site)

    ... Vacant housing units, seasonal units, second homes, military housing, and group quarters are excluded. 2Total square footage includes all basements, finished or conditioned (heated ...

  19. Square grid state in dielectric barrier discharge system

    SciTech Connect

    Dong, L. F.; Li, S. F.; Fan, W. L.; Pan, Y. Y.

    2009-12-15

    A square grid state and a hexagonal grid state are observed in a dielectric barrier discharge system. They are selected by different resonance mechanisms, namely, a four-wave interaction for the square grid state and a three-wave interaction for the hexagonal grid state. The spatiotemporal dynamics of the square grid state is studied by an optical method. It is found that the square grid state is an interleaving of three different sublattices, which correspond to a harmonic mode and two subharmonic modes.

  20. Nevada Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    Nevada Natural Gas Gross Withdrawals (Million Cubic Feet per Day) 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 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 NA NA NA NA NA NA NA NA - = No Data Reported; -- = Not Applicable; NA = Not Available;

  1. Maryland Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    Maryland Natural Gas Gross Withdrawals (Million Cubic Feet per Day) 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 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 NA NA NA NA NA NA NA NA - = No Data Reported; -- = Not Applicable; NA = Not

  2. 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

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

    Energy.gov [DOE]

    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...

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

    Energy Information Administration (EIA) (indexed site)

    7:59:57 AM" "Back to Contents","Data 1: U.S. Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSNUSMMCF" "Date","U.S. Natural Gas ...

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

    Annual Energy Outlook

    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...

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

    Annual Energy Outlook

    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...

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

    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...

  8. OSTIblog Articles in the David Gross Topic | OSTI, US Dept of...

    Office of Scientific and Technical Information (OSTI)

    David Gross Topic 100th DOE R&D Accomplishments Feature Page Celebration by Linda McBrearty 07 Jul, 2013 in Products and Content 7566 Accomp100slide.preview.jpg 100th DOE R&D ...

  9. The one-dimensional Gross-Pitaevskii equation and its some excitation states

    SciTech Connect

    Prayitno, T. B.

    2015-04-16

    We have derived some excitation states of the one-dimensional Gross-Pitaevskii equation coupled by the gravitational potential. The methods that we have used here are taken by pursuing the recent work of Kivshar et. al. by considering the equation as a macroscopic quantum oscillator. To obtain the states, we have made the appropriate transformation to reduce the three-dimensional Gross-Pitaevskii equation into the one-dimensional Gross-Pitaevskii equation and applying the time-independent perturbation theory in the general solution of the one-dimensional Gross-Pitaevskii equation as a linear superposition of the normalized eigenfunctions of the Schrödinger equation for the harmonic oscillator potential. Moreover, we also impose the condition by assuming that some terms in the equation should be so small in order to preserve the use of the perturbation method.

  10. 23 V.S.A. Section 1392 Gross Weight Limits on Highways | Open...

    OpenEI (Open Energy Information) [EERE & EIA]

    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...

  11. Square Grains in Asymmetric Rod-Coil Block Copolymers (Journal...

    Office of Scientific and Technical Information (OSTI)

    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 ...

  12. 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 *

  13. 2D barrier in a superconducting niobium square

    SciTech Connect

    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.

  14. A Least-Squares Transport Equation Compatible with Voids

    SciTech Connect

    Hansen, Jon; Peterson, Jacob; Morel, Jim; Ragusa, Jean; Wang, Yaqi

    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

  15. High-frequency matrix converter with square wave input

    SciTech Connect

    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.

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

    DOEpatents

    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").

  17. Latin-square three-dimensional gage master

    DOEpatents

    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.

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

    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","California--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

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

    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",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

  20. North Dakota Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    North Dakota Natural Gas Gross Withdrawals (Million Cubic Feet per Day) North Dakota Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 158 155 160 165 167 169 170 174 182 186 185 190 2007 187 188 185 189 191 194 196 204 202 203 207 182 2008 209 207 215 221 232 243 243 249 260 267 269 242 2009 241 243 245 250 247 249 258 263 260 255 267 262 2010 252 272 279 282 302 305 324 331 343 348 360 343 2011 340 342 360 359 364 397 434 466

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

    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","8/2016","01/15/1989" ,"Release Date:","10/31/2016" ,"Next Release

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

    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","Texas--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1060_rtxsf_2a.xls"

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

    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","US--Federal Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1060_rusf_2a.xls"

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

    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","US--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1060_russf_2a.xls"

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

    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

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

    SciTech Connect

    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.

  7. A new least-squares transport equation compatible with voids

    SciTech Connect

    Hansen, J. B.; Morel, J. E.

    2013-07-01

    We define a new least-squares transport equation that is applicable in voids, can be solved using source iteration with diffusion-synthetic acceleration, and requires only the solution of an independent set of second-order self-adjoint equations for each direction during each source iteration. We derive the equation, discretize it using the S{sub n} method in conjunction with a linear-continuous finite-element method in space, and computationally demonstrate various of its properties. (authors)

  8. Multilevel first-order system least squares for PDEs

    SciTech Connect

    McCormick, S.

    1994-12-31

    The purpose of this talk is to analyze the least-squares finite element method for second-order convection-diffusion equations written as a first-order system. In general, standard Galerkin finite element methods applied to non-self-adjoint elliptic equations with significant convection terms exhibit a variety of deficiencies, including oscillations or nonmonotonicity of the solution and poor approximation of its derivatives, A variety of stabilization techniques, such as up-winding, Petrov-Galerkin, and stream-line diffusion approximations, have been introduced to eliminate these and other drawbacks of standard Galerkin methods. Yet, although significant progress has been made, convection-diffusion problems remain among the more difficult problems to solve numerically. The first-order system least-squares approach promises to overcome these deficiencies. This talk develops ellipticity estimates and discretization error bounds for elliptic equations (with lower order terms) that are reformulated as a least-squares problem for an equivalent first-order system. The main results are the proofs of ellipticity and optimal convergence of multiplicative and additive solvers of the discrete systems.

  9. Solving linear inequalities in a least squares sense

    SciTech Connect

    Bramley, R.; Winnicka, B.

    1994-12-31

    Let A {element_of} {Re}{sup mxn} be an arbitrary real matrix, and let b {element_of} {Re}{sup m} a given vector. A familiar problem in computational linear algebra is to solve the system Ax = b in a least squares sense; that is, to find an x* minimizing {parallel}Ax {minus} b{parallel}, where {parallel} {center_dot} {parallel} refers to the vector two-norm. Such an x* solves the normal equations A{sup T}(Ax {minus} b) = 0, and the optimal residual r* = b {minus} Ax* is unique (although x* need not be). The least squares problem is usually interpreted as corresponding to multiple observations, represented by the rows of A and b, on a vector of data x. The observations may be inconsistent, and in this case a solution is sought that minimizes the norm of the residuals. A less familiar problem to numerical linear algebraists is the solution of systems of linear inequalities Ax {le} b in a least squares sense, but the motivation is similar: if a set of observations places upper or lower bounds on linear combinations of variables, the authors want to find x* minimizing {parallel} (Ax {minus} b){sub +} {parallel}, where the i{sup th} component of the vector v{sub +} is the maximum of zero and the i{sup th} component of v.

  10. DESIGN OF PHASE INDUCED AMPLITUDE APODIZATION CORONAGRAPHS OVER SQUARE APERTURES

    SciTech Connect

    Pueyo, Laurent; Jeremy Kasdin, N.; Carlotti, Alexis; Vanderbei, Robert

    2011-08-01

    The purpose of this paper is to present the results of a theoretical study pertaining to the feasibility of Phase Induced Amplitude Apodization (PIAA) units using deformable mirrors (DMs). We begin by reviewing the general derivation of the design equations driving PIAA. We then show how to solve these equations for square apertures and show the performance of pure PIAA systems in the ray optics regime. We tie these design equations into the study of edge diffraction effects and provide a general expression for the field after a full propagation through a PIAA coronagraph. Third, we illustrate how a combination of pre- and post-apodizers yields a contrast of 10{sup -10} even in the presence of diffractive effects, for configuration with neither wavefront errors or wavefront control. Finally, we present novel PIAA configurations over square apertures which circumvent the constraints on the manufacturing of PIAA optics by inducing the apodization with two square DMs. Such solutions rely on pupil size smaller than currently envisioned static PIAA solutions and thus require aggressive pre- and post-apodizing screens in order to mitigate for diffractive effect between the two mirrors. As a result they are associated with significant loss in performance, throughput in particular.

  11. Positive Scattering Cross Sections using Constrained Least Squares

    SciTech Connect

    Dahl, J.A.; Ganapol, B.D.; Morel, J.E.

    1999-09-27

    A method which creates a positive Legendre expansion from truncated Legendre cross section libraries is presented. The cross section moments of order two and greater are modified by a constrained least squares algorithm, subject to the constraints that the zeroth and first moments remain constant, and that the standard discrete ordinate scattering matrix is positive. A method using the maximum entropy representation of the cross section which reduces the error of these modified moments is also presented. These methods are implemented in PARTISN, and numerical results from a transport calculation using highly anisotropic scattering cross sections with the exponential discontinuous spatial scheme is presented.

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

    SciTech Connect

    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.

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

    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

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

    Gasoline and Diesel Fuel Update

    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 149 147 143 142 138 137 156 155 158 167 172 175 2007 146 144 141 139 136 135 153 152 155 164 169 172 2008 134 128 129 128 124 123 140 139 142 150 155 157 2009 119 118 115 114 111 110 125 124 127 134 138 140 2010 95 94 92 91 89 88 99 99 101 107 110 112 2011 83 82 80 79 77 76 86 86 88 93 96 97 2012 73 72 72 72 72 72 72 72 72 72

  15. South Dakota Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    South Dakota Natural Gas Gross Withdrawals (Million Cubic Feet per Day) South Dakota Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 31 32 31 26 29 29 28 28 28 30 29 28 2007 29 29 31 31 32 32 31 31 37 34 37 36 2008 34 31 32 34 17 34 36 37 37 36 34 32 2009 35 36 37 37 38 38 35 34 33 33 34 35 2010 33 36 35 34 35 34 33 33 43 35 32 29 2011 28 29 29 31 29 32 36 37 37 39 40 41 2012 41 42 43 43 45 43 42 40 40 39 41 35 2013 42 43 44 46

  16. West Virginia Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    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 588 611 599 584 608 616 606 654 628 622 645 652 2007 617 615 609 619 626 631 635 629 662 628 673 657 2008 662 676 663 662 658 670 674 678 657 692 681 657 2009 679 695 712 724 731 735 733 741 751 743 742 706 2010 702 711 708 714 717 727 729 730 738 751 754 737 2011 884 935 976 1,016 1,030 1,078 1,135 1,118 1,211 1,180

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

    Gasoline and Diesel Fuel Update

    Cubic Feet per Day) 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 Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 7,927 7,675 7,768 7,985 8,290 8,296 8,302 8,121 7,992 7,849 7,894 7,685 2007 7,628 7,682 7,741 7,786 7,857 7,672 7,490 7,395 7,410 7,720 7,778 8,322 2008 7,815 7,916 7,757 7,010 6,762 7,339 7,468 6,868 2,100 4,368 5,297 5,672 2009

  18. Classical and quantum dynamics in an inverse square potential

    SciTech Connect

    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.

  19. A Galerkin least squares approach to viscoelastic flow.

    SciTech Connect

    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.

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

    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",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1090_sak_2a.xls"

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

    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",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1090_sca_2a.xls"

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

    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","Indiana Natural Gas Gross Withdrawals and Production",10,"Annual",2015,"06/30/1967" ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

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

    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","Kentucky Natural Gas Gross Withdrawals and Production",10,"Annual",2015,"06/30/1967" ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

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

    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","Maryland Natural Gas Gross Withdrawals and Production",10,"Annual",2015,"06/30/1967" ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

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

    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","Mississippi Natural Gas Gross Withdrawals and Production",10,"Annual",2015,"06/30/1967" ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

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

    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","Missouri Natural Gas Gross Withdrawals and Production",10,"Annual",2015,"06/30/1967" ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

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

    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","Virginia Natural Gas Gross Withdrawals and Production",10,"Annual",2015,"06/30/1967" ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

  8. Soliton solutions of the 3D Gross-Pitaevskii equation by a potential control method

    SciTech Connect

    Fedele, R.; Eliasson, B.; Shukla, P. K.; Haas, F.; Jovanovic, D.; De Nicola, S.

    2010-12-14

    We present a class of three-dimensional solitary waves solutions of the Gross-Pitaevskii (GP) equation, which governs the dynamics of Bose-Einstein condensates (BECs). By imposing an external controlling potential, a desired time-dependent shape of the localized BEC excitation is obtained. The stability of some obtained localized solutions is checked by solving the time-dependent GP equation numerically with analytic solutions as initial conditions. The analytic solutions can be used to design external potentials to control the localized BECs in experiment.

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

    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","Nebraska Natural Gas Gross Withdrawals and Production",10,"Annual",2015,"06/30/1967" ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

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

    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","Nevada Natural Gas Gross Withdrawals and Production",10,"Annual",2015,"06/30/1991" ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

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

    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","Nevada Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","8/2016" ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

  12. ,"New York Natural Gas Gross Withdrawals and Production"

    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 York Natural Gas Gross Withdrawals and Production",10,"Annual",2015,"06/30/1967" ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

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

    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","Oregon Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","8/2016" ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

  14. ,"South Dakota Natural Gas Gross Withdrawals and Production"

    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","South Dakota Natural Gas Gross Withdrawals and Production",10,"Annual",2015,"06/30/1967" ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

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

    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","Tennessee Natural Gas Gross Withdrawals and Production",10,"Annual",2015,"06/30/1967" ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

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

    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","Texas Natural Gas Gross Withdrawals Total Offshore (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1090_stx_2a.xls"

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

    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",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1090_nus_2a.xls" ,"Available

  18. Square Turing patterns in reaction-diffusion systems with coupled layers

    SciTech Connect

    Li, Jing; Wang, Hongli E-mail: qi@pku.edu.cn; Center for Quantitative Biology, Peking University, Beijing 100871 ; Ouyang, Qi E-mail: qi@pku.edu.cn; Center for Quantitative Biology, Peking University, Beijing 100871; The Peking-Tsinghua Center for Life Sciences, Beijing 100871

    2014-06-15

    Square Turing patterns are usually unstable in reaction-diffusion systems and are rarely observed in corresponding experiments and simulations. We report here an example of spontaneous formation of square Turing patterns with the Lengyel-Epstein model of two coupled layers. The squares are found to be a result of the resonance between two supercritical Turing modes with an appropriate ratio. Besides, the spatiotemporal resonance of Turing modes resembles to the mode-locking phenomenon. Analysis of the general amplitude equations for square patterns reveals that the fixed point corresponding to square Turing patterns is stationary when the parameters adopt appropriate values.

  19. New Mexico Natural Gas Gross Withdrawals (Million Cubic Feet per Day)

    Gasoline and Diesel Fuel Update

    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 4,418 4,460 4,393 4,430 4,456 4,463 4,466 4,505 4,473 4,447 4,327 2007 4,201 4,250 4,287 4,273 4,345 4,341 4,323 4,217 4,363 4,284 4,262 3,997 2008 3,820 3,958 4,128 4,157 4,170 3,975 4,179 4,092 4,069 4,168 4,078 3,957 2009 3,968 4,063 4,018 3,979 3,960 3,857 3,863 3,927 3,818 3,914 3,865 3,635 2010 3,630 3,650 3,630

  20. The moving-least-squares-particle hydrodynamics method (MLSPH)

    SciTech Connect

    Dilts, G.

    1997-12-31

    An enhancement of the smooth-particle hydrodynamics (SPH) method has been developed using the moving-least-squares (MLS) interpolants of Lancaster and Salkauskas which simultaneously relieves the method of several well-known undesirable behaviors, including spurious boundary effects, inaccurate strain and rotation rates, pressure spikes at impact boundaries, and the infamous tension instability. The classical SPH method is derived in a novel manner by means of a Galerkin approximation applied to the Lagrangian equations of motion for continua using as basis functions the SPH kernel function multiplied by the particle volume. This derivation is then modified by simply substituting the MLS interpolants for the SPH Galerkin basis, taking care to redefine the particle volume and mass appropriately. The familiar SPH kernel approximation is now equivalent to a colocation-Galerkin method. Both classical conservative and recent non-conservative formulations of SPH can be derived and emulated. The non-conservative forms can be made conservative by adding terms that are zero within the approximation at the expense of boundary-value considerations. The familiar Monaghan viscosity is used. Test calculations of uniformly expanding fluids, the Swegle example, spinning solid disks, impacting bars, and spherically symmetric flow illustrate the superiority of the technique over SPH. In all cases it is seen that the marvelous ability of the MLS interpolants to add up correctly everywhere civilizes the noisy, unpredictable nature of SPH. Being a relatively minor perturbation of the SPH method, it is easily retrofitted into existing SPH codes. On the down side, computational expense at this point is significant, the Monaghan viscosity undoes the contribution of the MLS interpolants, and one-point quadrature (colocation) is not accurate enough. Solutions to these difficulties are being pursued vigorously.

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

    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

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

    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"

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

    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"

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

    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"

  5. Comment on ''Mutually unbiased bases, orthogonal Latin squares, and hidden-variable models''

    SciTech Connect

    Hall, Joanne L.; Rao, Asha

    2011-03-15

    In a recent article Paterek, Dakic, and Brukner [Phys. Rev. A 79, 012109 (2009)] show an algorithm for generating mutually unbiased bases from sets of orthogonal Latin squares. They claim that this algorithm works for every set of orthogonal Latin squares. We show that the algorithm only works for particular sets of orthogonal Latin squares. Furthermore, the algorithm is a more readable version of work previously published [Phys. Rev. A 70, 062101 (2004)].

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

    Gasoline and Diesel Fuel Update

    Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 0 2010's 0 0 0 0 0 0

    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 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next

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

    Annual Energy Outlook

    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...

  8. 1990 yearly calibration of Pacific Northwest Laboratory's gross-gamma borehole geophysical logging system

    SciTech Connect

    Arthur, R.J.

    1990-08-01

    This report describes the 1990 yearly calibration of a gross-gamma geophysical pulse logging system owned by the US Department of Energy (DOE) and operated by Pacific Northwest Laboratory (PNL). The calibration was conducted to permit the continued use of this system for geological and hydrologic studies associated with remedial investigation at the Hanford Site. Primary calibrations to equivalent uranium units were conducted in borehole model standards that were recently moved to the Hanford Site from the DOE field calibration facility in Spokane, Washington. The calibrations were performed in borehole models SBL/SBH and SBA/SBB, which contain low equivalent-uranium concentrations. The integrity of the system throughout the previous year from gamma-ray monitoring was demonstrated using the before- and after-logging field calibration readings with the field source in calibration Positions 1 and 2. Most of the Position 1 readings are within an 8% limit that is set by the governing PNL technical reference procedure as a critical value above which the instrument is considered suspect. Many of the Position 2 readings exceed the 8% limit; however, the fluctuation was traced to field-source geometry variability that affected Position 1 count rates by up to 6% and Position 2 count rates by as much as 16%. Correlations were established based on two similar approaches for relating observed count rate in before- and after-logging field calibrations to equivalent uranium concentrations. The temperature drift of the gamma-ray probe was documented and amounts to less than 0.1%/{degree}C within the temperature range 0{degree}C to 42{degree}C. The low-energy cutoff for the gross gamma-ray probe was determined to be between 46.5 and 59.5 keV. 10 refs., 4 figs., 13 tabs.

  9. Suppressed gross erosion of high-temperature lithium via rapid deuterium implantation

    DOE PAGES [OSTI]

    Abrams, T.; Jaworski, M. A.; Chen, M.; Carter, E. A.; Kaita, R.; Stotler, D. P.; De Temmerman, G.; Morgan, T. W.; van den Berg, M. A.; van der Meiden, H. J.

    2015-12-17

    Lithium-coated high-Z substrates are planned for use in the NSTX-U divertor and are a candidate plasma facing component (PFC) for reactors, but it remains necessary to characterize the gross Li erosion rate under high plasma fluxes (>1023 m-2 s-1), typical for the divertor region. In this work, a realistic model for the compositional evolution of a Li/D layer is developed that incorporates first principles molecular dynamics (MD) simulations of D diffusion in liquid Li. Predictions of Li erosion from a mixed Li/D material are also developed that include formation of lithium deuteride (LiD). The erosion rate of Li from LiDmore » is predicted to be significantly lower than from pure Li. This prediction is tested in the Magnum-PSI linear plasma device at ion fluxes of 1023-1024 m-2 s-1 and Li surface temperatures. ≤800 °C. Li/LiD coatings ranging in thickness from 0.2 to 500 μm are studied. The dynamic D/Li concentrations are inferred via diffusion simulations. The pure Li erosion rate remains greater than Langmuir Law evaporation, as expected. For mixed-material Li/LiD surfaces, the erosion rates are reduced, in good agreement with modelling in almost all cases. Lastly, these results imply that the temperature limit for a Li-coated PFC may be significantly higher than previously imagined.« less

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

    DOE PAGES [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; 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

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

    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 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

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

    SciTech Connect

    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 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=51–64 to a precision of 20% with respect to the measured values.

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

    SciTech Connect

    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.

  14. 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

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

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

    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

  16. 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 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 second year, saving

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

    Office of Science (SC)

    Squaring the Circle in Biofuels? News News Home Featured Articles 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 Science Headlines Science Highlights Presentations & Testimony News Archives Communications and Public Affairs Contact Information Office of Science U.S. Department of Energy 1000 Independence Ave., SW Washington, DC 20585 P: (202) 586-5430 04.30.14 Squaring the Circle in Biofuels? Researchers produce a new type of plant fiber that supports normal growth while easing

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

    SciTech Connect

    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.

  19. Gross Alpha Beta Radioactivity in Air Filters Measured by Ultra Low Level alpha/beta Counter

    SciTech Connect

    Cfarku, Florinda; Bylyku, Elida; Bakiu, Erjona; Perpunja, Flamur; Deda, Antoneta; Dhoqina, Polikron

    2010-01-21

    Study of radioactivity in air as very important for life is done regularly using different methods in every country. As a result of nuclear reactors, atomic centrals, institutions and laboratories, which use the radioactivity substances in open or closed sources, there are a lot radioactive wastes. Mixing of these wastes after treatment with rivers and lakes waters makes very important control of radioactivity. At the other side nuclear and radiological accidents are another source of the contamination of air and water. Due to their radio toxicity, especially those of Sr{sup 90}, Pu{sup 239}, etc. a contamination hazard for human begins exist even at low concentration levels. Measurements of radioactivity in air have been performed in many parts of the world mostly for assessment of the doses and risk resulting from consuming air. In this study we present the results of international comparison organized by IAEA Vienna, Austria for the air filters spiked with unknown Alpha and Beta Activity. For the calibration of system we used the same filters spiked: a) with Pu-239 as alpha source; b) Sr-90 as beta source and also the blank filter. The measurements of air filter samples after calibration of the system are done with Ultra Low Level alpha/beta Counter (MPC 9604) Protean Instrument Corporation. The high sensitivity of the system for the determination of the Gross Alpha and Beta activity makes sure detection of low values activity of air filters. Our laboratory results are: Aalpha = (0.19+-0.01) Bq/filter and Aalpha(IAEA) = (0.17+-0.009) Bq/filter; A{sub b}eta = (0.33+-0.009) Bq/filter and A{sub b}eta (IAEA) = (0.29+-0.01) Bq/filter. As it seems our results are in good agreement with reference values given by IAEA (International Atomic Energy Agency).

  20. Suppressed gross erosion of high-temperature lithium via rapid deuterium implantation

    SciTech Connect

    Abrams, T.; Jaworski, M. A.; Chen, M.; Carter, E. A.; Kaita, R.; Stotler, D. P.; De Temmerman, G.; Morgan, T. W.; van den Berg, M. A.; van der Meiden, H. J.

    2015-12-17

    Lithium-coated high-Z substrates are planned for use in the NSTX-U divertor and are a candidate plasma facing component (PFC) for reactors, but it remains necessary to characterize the gross Li erosion rate under high plasma fluxes (>1023 m-2 s-1), typical for the divertor region. In this work, a realistic model for the compositional evolution of a Li/D layer is developed that incorporates first principles molecular dynamics (MD) simulations of D diffusion in liquid Li. Predictions of Li erosion from a mixed Li/D material are also developed that include formation of lithium deuteride (LiD). The erosion rate of Li from LiD is predicted to be significantly lower than from pure Li. This prediction is tested in the Magnum-PSI linear plasma device at ion fluxes of 1023-1024 m-2 s-1 and Li surface temperatures. ≤800 °C. Li/LiD coatings ranging in thickness from 0.2 to 500 μm are studied. The dynamic D/Li concentrations are inferred via diffusion simulations. The pure Li erosion rate remains greater than Langmuir Law evaporation, as expected. For mixed-material Li/LiD surfaces, the erosion rates are reduced, in good agreement with modelling in almost all cases. Lastly, these results imply that the temperature limit for a Li-coated PFC may be significantly higher than previously imagined.

  1. Optical Square-Wave Clock Generation Based on an All-Optical Flip-Flop

    SciTech Connect

    Kaplan, A.M.; Agrawal, G.P.; Maywar, D.N.

    2010-03-10

    We demonstrate optical square-wave clock generation based on an all-optical flip-flop. The bistable output power from a resonant-type semiconductor optical amplifier (SOA) is switched ON and OFF by modulating its input with its output via cross-gain modulation in a traveling-wave SOA. All active components are driven by dc currents, and the wavelength and clock frequency are selectable. A clock frequency of 3.5 MHz is demonstrated, limited by the time of flight between bulk optical components. Optical square-wave clock signals are promising for applications in photonic integrated circuits and all-optical signal processing.

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

    SciTech Connect

    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.; Rudakov, D. L.

    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 the 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.

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

    DOE PAGES [OSTI]

    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

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

    DOEpatents

    Keenan, Michael R.

    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.

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

    SciTech Connect

    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.

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

    SciTech Connect

    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}

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

    DOEpatents

    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.

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

    U.S. Department of Energy (DOE) - all 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

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

    SciTech Connect

    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.

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

    SciTech Connect

    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.

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

    SciTech Connect

    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.

  12. Transition to chaos in a square enclosure containing internal heat sources

    SciTech Connect

    Baytas, A.C.

    1995-09-01

    A numerical investigation is performed to study the transition from steady to chaotic flow of a fluid confined in a two-dimensional square cavity. The cavity has rigid walls of constant temperature containing uniformly distributed internal heat source. Effects of the Rayleigh number of flow and heat transfer rates are studied. In addition to, same problem is solved for sinusoidally changing internal heat source to show its effect on the flow model and heat transfer of the enclosures. Details of oscillatory solutions and flow bifurcations are presented.

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

    SciTech Connect

    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.

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

    SciTech Connect

    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.

  15. Bifurcation to square-wave switching in orthogonally delay-coupled semiconductor lasers: Theory and experiment

    SciTech Connect

    Masoller, C.; Sukow, D.; Gavrielides, A.

    2011-08-15

    We analyze the dynamics of two semiconductor lasers with so-called orthogonal time-delayed mutual coupling: the dominant TE (x) modes of each laser are rotated by 90 deg. (therefore, TM polarization or y) before being coupled to the other laser. Although this laser system allows for steady-state emission in either one or in both polarization modes, it may also exhibit stable time-periodic dynamics including square waveforms. A theoretical mapping of the switching dynamics unveils the region in parameter space where one expects to observe long-term time-periodic mode switching. Detailed numerical simulations illustrate the role played by the coupling strength, the mode frequency detuning, or the mode gain to loss difference. We complement our theoretical study with several experiments and measurements. We present time series and intensity spectra associated with the characteristics of the square waves and other waveforms observed as a function of the strength of the delay coupling. The experimental observations are in very good agreement with the analysis and the numerical results.

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

    DOEpatents

    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.

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

    DOEpatents

    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.

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

    SciTech Connect

    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.

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

    DOEpatents

    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.

  20. Simultaneous evaluation of interrelated cross sections by generalized least-squares and related data file requirements

    SciTech Connect

    Poenitz, W.P.

    1984-10-25

    Though several cross sections have been designated as standards, they are not basic units and are interrelated by ratio measurements. Moreover, as such interactions as /sup 6/Li + n and /sup 10/B + n involve only two and three cross sections respectively, total cross section data become useful for the evaluation process. The problem can be resolved by a simultaneous evaluation of the available absolute and shape data for cross sections, ratios, sums, and average cross sections by generalized least-squares. A data file is required for such evaluation which contains the originally measured quantities and their uncertainty components. Establishing such a file is a substantial task because data were frequently reported as absolute cross sections where ratios were measured without sufficient information on which reference cross section and which normalization were utilized. Reporting of uncertainties is often missing or incomplete. The requirements for data reporting will be discussed.

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

    SciTech Connect

    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.

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

    SciTech Connect

    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.

  3. Spaser based on Fano resonance in a rod and concentric square ring-disk nanostructure

    SciTech Connect

    Huo, Y. Y.; Jia, T. Q. Zhao, H.; Zhang, S. A.; Feng, D. H.; Sun, Z. R.; Zhang, Y.

    2014-03-17

    This paper reports a spaser based on Fano resonance of a plasmonic nanostructure consisting of a rod and concentric square ring-disk structure coated with a layer of gain media. The amplification of the dark quadrupolar mode at the Fano resonance wavelength causes the spaser with a high Purcell factor of 3.24 × 10{sup 7}, a high signal to noise ratio of 4.4 × 10{sup 6}, and a lower threshold of 0.02086. These significant optical properties are attributed to the greatly enhanced spontaneous emission and depressed radiation loss supported by the strong localized dark mode at the Fano resonance wavelength.

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

    SciTech Connect

    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.

  5. Natural Gas Gross Withdrawals

    Energy Information Administration (EIA) (indexed site)

    Mar-16 Apr-16 May-16 Jun-16 Jul-16 Aug-16 View History U.S. 2,823,398 2,682,021 2,778,526 2,634,991 2,705,744 2,739,059 1973-2016 Alaska 295,244 246,120 269,204 233,820 239,444 250,325 1991-2016 Arkansas 74,543 70,831 71,791 67,340 68,207 67,140 1991-2016 California 18,166 17,618 18,074 17,229 17,573 17,822 1991-2016 Colorado 143,636 139,949 144,657 136,813 143,188 145,323 1991-2016 Federal Offshore Gulf of Mexico 111,315 101,883 110,027 96,330 100,027 105,189 1997-2016 Kansas 22,110 21,173

  6. Sofia Mancheno-Gross

    Energy.gov [DOE]

    Sofia specializes in Communications strategies on behalf of the Office of Energy Efficiency and Renewable Energy.

  7. Natural Gas Gross Withdrawals

    Energy Information Administration (EIA) (indexed site)

    2010 2011 2012 2013 2014 2015 View History U.S. 26,816,085 28,479,026 29,542,313 29,522,551 31,405,381 32,894,727 1936-2015 U.S. Offshore 2,875,945 2,416,644 2,044,643 1,859,469 1,804,544 1,820,202 1977-2015 U.S. State Offshore 575,601 549,151 489,505 505,318 514,291 502,425 1978-2015 Federal Offshore U.S. 2,300,344 1,867,492 1,555,138 1,354,151 1,290,253 1,317,777 1977-2015 Alaska 3,197,100 3,162,922 3,164,791 3,215,358 3,168,545 3,175,301 1967-2015 Alaska Onshore 2,826,952 2,798,220 2,857,485

  8. grossWCI.dvi

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

    Nuclear multifragmentation, Its relation to general physics A rich test-ground of the ... Taking this serious, fascinating perspectives open for statistical nuclear fragmentation ...

  9. Natural Gas Gross Withdrawals

    Energy Information Administration (EIA) (indexed site)

    2010 2011 2012 2013 2014 2015 View History U.S. 26,816,085 28,479,026 29,542,313 ... Alabama State Offshore 101,487 84,270 87,398 75,660 70,827 1987-2014 Arizona 183 168 117 ...

  10. Natural Gas Gross Withdrawals

    Energy Information Administration (EIA) (indexed site)

    Sep-15 Oct-15 Nov-15 Dec-15 Jan-16 Feb-16 View History U.S. 2,750,252 2,817,792 2,743,783 2,823,547 2,823,205 2,668,567 1973-2016 Alaska 261,150 279,434 289,770 304,048 298,809 ...

  11. Natural Gas Gross Withdrawals

    Gasoline and Diesel Fuel Update

    through 1996) in Alabama (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 30,401 34,749 37,275 1970's 36,254 36,657 37,389 33,126 35,349 33,439 34,450 34,303 29,649 36,717 1980's 28,525 26,860 25,876 26,665 27,567 25,836 25,128 22,384 25,562 26,469 1990's 24,287 23,711 25,232 25,723 25,526 26,228 29,000 32,360 25,705 27,581 2000's 25,580 26,391 25,011 25,356 26,456 25,046 24,396 23,420 25,217 24,293 2010's 27,071 25,144 21,551 25,324

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

    SciTech Connect

    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.

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

    SciTech Connect

    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.

  14. Nanocluster building blocks of artificial square spin ice: Stray-field studies of thermal dynamics

    SciTech Connect

    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.

  15. Neutron diffraction studies of a four-coordinated hydride in near square-planar geometry

    SciTech Connect

    Liao, Jian -Hong; Dhayal, Rajendra Singh; Wang, Xiaoping; Kahlal, Samia; Saillard, Jean -Yves; Liu, C. W.

    2014-10-07

    The structure of a nanospheric polyhydrido copper cluster, [Cu20(H)11{S2P(OiPr)2}9], was determined by single-crystal neutron diffraction. Cu20 cluster consists of an elongated triangular orthobicupola constructed from 18 Cu atoms that encapsulate a [Cu2H5}3- ion in the center with an exceptionally short Cu-Cu distance. The eleven hydrides in the cluster display three different coordination modes to the Cu atoms: Six μ3-hydrides in pyramidal geometry, two μ4-hydrides in tetrahedral cavity, and three μ4-hydrides in an unprecedented near square-planar geometry. The neutron data set was collected on a small crystal of the size 0.20 mm x 0.50 mm x 0.65 mm for seven days using the Spallation Neutron Source TOPAZ single-crystal time-of-flight Laue diffractometer at the Oak Ridge National Laboratory. Furthermore, the final R-factor is 8.64% for 16014 reflections.

  16. Neutron diffraction studies of a four-coordinated hydride in near square-planar geometry

    DOE PAGES [OSTI]

    Liao, Jian -Hong; Dhayal, Rajendra Singh; Wang, Xiaoping; Kahlal, Samia; Saillard, Jean -Yves; Liu, C. W.

    2014-10-07

    The structure of a nanospheric polyhydrido copper cluster, [Cu20(H)11{S2P(OiPr)2}9], was determined by single-crystal neutron diffraction. Cu20 cluster consists of an elongated triangular orthobicupola constructed from 18 Cu atoms that encapsulate a [Cu2H5}3- ion in the center with an exceptionally short Cu-Cu distance. The eleven hydrides in the cluster display three different coordination modes to the Cu atoms: Six μ3-hydrides in pyramidal geometry, two μ4-hydrides in tetrahedral cavity, and three μ4-hydrides in an unprecedented near square-planar geometry. The neutron data set was collected on a small crystal of the size 0.20 mm x 0.50 mm x 0.65 mm for seven daysmore » using the Spallation Neutron Source TOPAZ single-crystal time-of-flight Laue diffractometer at the Oak Ridge National Laboratory. Furthermore, the final R-factor is 8.64% for 16014 reflections.« less

  17. Simulated Stochastic Approximation Annealing for Global Optimization with a Square-Root Cooling Schedule

    SciTech Connect

    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.

  18. Searching for Minimum in Dependence of Squared Speed-of-Sound on Collision Energy

    DOE PAGES [OSTI]

    Liu, Fu-Hu; Gao, Li-Na; Lacey, Roy A.

    2016-01-01

    Experimore » mental results of the rapidity distributions of negatively charged pions produced in proton-proton ( p - p ) and beryllium-beryllium (Be-Be) collisions at different beam momentums, measured by the NA61/SHINE Collaboration at the super proton synchrotron (SPS), are described by a revised (three-source) Landau hydrodynamic model. The squared speed-of-sound parameter c s 2 is then extracted from the width of rapidity distribution. There is a local minimum (knee point) which indicates a softest point in the equation of state (EoS) appearing at about 40 A  GeV/ c (or 8.8 GeV) in c s 2 excitation function (the dependence of c s 2 on incident beam momentum (or center-of-mass energy)). This knee point should be related to the searching for the onset of quark deconfinement and the critical point of quark-gluon plasma (QGP) phase transition.« less

  19. Robust parallel iterative solvers for linear and least-squares problems, Final Technical Report

    SciTech Connect

    Saad, Yousef

    2014-01-16

    The primary goal of this project is to study and develop robust iterative methods for solving linear systems of equations and least squares systems. The focus of the Minnesota team is on algorithms development, robustness issues, and on tests and validation of the methods on realistic problems. 1. The project begun with an investigation on how to practically update a preconditioner obtained from an ILU-type factorization, when the coefficient matrix changes. 2. We investigated strategies to improve robustness in parallel preconditioners in a specific case of a PDE with discontinuous coefficients. 3. We explored ways to adapt standard preconditioners for solving linear systems arising from the Helmholtz equation. These are often difficult linear systems to solve by iterative methods. 4. We have also worked on purely theoretical issues related to the analysis of Krylov subspace methods for linear systems. 5. We developed an effective strategy for performing ILU factorizations for the case when the matrix is highly indefinite. The strategy uses shifting in some optimal way. The method was extended to the solution of Helmholtz equations by using complex shifts, yielding very good results in many cases. 6. We addressed the difficult problem of preconditioning sparse systems of equations on GPUs. 7. A by-product of the above work is a software package consisting of an iterative solver library for GPUs based on CUDA. This was made publicly available. It was the first such library that offers complete iterative solvers for GPUs. 8. We considered another form of ILU which blends coarsening techniques from Multigrid with algebraic multilevel methods. 9. We have released a new version on our parallel solver - called pARMS [new version is version 3]. As part of this we have tested the code in complex settings - including the solution of Maxwell and Helmholtz equations and for a problem of crystal growth.10. As an application of polynomial preconditioning we considered the

  20. A Continuous Measure of Gross Primary Production for the Conterminous U.S. Derived from MODIS and AmeriFlux Data

    SciTech Connect

    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

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

    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

  2. Model-Based Least Squares Reconstruction of Coded Source Neutron Radiographs: Integrating the ORNL HFIR CG1D Source Model

    SciTech Connect

    Santos-Villalobos, Hector J; Gregor, Jens; Bingham, Philip R

    2014-01-01

    At the present, neutron sources cannot be fabricated small and powerful enough in order to achieve high resolution radiography while maintaining an adequate flux. One solution is to employ computational imaging techniques such as a Magnified Coded Source Imaging (CSI) system. A coded-mask is placed between the neutron source and the object. The system resolution is increased by reducing the size of the mask holes and the flux is increased by increasing the size of the coded-mask and/or the number of holes. One limitation of such system is that the resolution of current state-of-the-art scintillator-based detectors caps around 50um. To overcome this challenge, the coded-mask and object are magnified by making the distance from the coded-mask to the object much smaller than the distance from object to detector. In previous work, we have shown via synthetic experiments that our least squares method outperforms other methods in image quality and reconstruction precision because of the modeling of the CSI system components. However, the validation experiments were limited to simplistic neutron sources. In this work, we aim to model the flux distribution of a real neutron source and incorporate such a model in our least squares computational system. We provide a full description of the methodology used to characterize the neutron source and validate the method with synthetic experiments.

  3. A spectral mimetic least-squares method for the Stokes equations with no-slip boundary condition

    DOE PAGES [OSTI]

    Gerritsma, Marc; Bochev, Pavel

    2016-03-22

    Formulation of locally conservative least-squares finite element methods (LSFEMs) for the Stokes equations with the no-slip boundary condition has been a long standing problem. Existing LSFEMs that yield exactly divergence free velocities require non-standard boundary conditions (Bochev and Gunzburger, 2009 [3]), while methods that admit the no-slip condition satisfy the incompressibility equation only approximately (Bochev and Gunzburger, 2009 [4, Chapter 7]). Here we address this problem by proving a new non-standard stability bound for the velocity–vorticity–pressure Stokes system augmented with a no-slip boundary condition. This bound gives rise to a norm-equivalent least-squares functional in which the velocity can be approximatedmore » by div-conforming finite element spaces, thereby enabling a locally-conservative approximations of this variable. Here, we also provide a practical realization of the new LSFEM using high-order spectral mimetic finite element spaces (Kreeft et al., 2011) and report several numerical tests, which confirm its mimetic properties.« less

  4. Inflection points of microcanonical entropy: Monte Carlo simulation of q state Potts model on a finite square lattice

    SciTech Connect

    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.

  5. Study of radial growth rate and size control of silicon nanocrystals in square-wave-modulated silane plasmas

    SciTech Connect

    Nguyen-Tran, Th.; Roca i Cabarrocas, P.; Patriarche, G.

    2007-09-10

    The growth of silicon nanocrystals in high pressure and high dilution silane plasmas is investigated by using the temporal evolution of the self-bias on the radio frequency electrode and transmission electron microscopy. A square-wave-modulated plasma was used in order to control the growth of monodispersed nanoparticles with sizes smaller than 12 nm. To this end, the plasma on time was kept below 1 s. The radial growth rate of nanoparticles was varied in the range from 7.5 to 75 nm/s by changing silane partial pressure. Nanoparticles grown in silane-helium discharges have been found amorphous while they are crystalline in silane-hydrogen-argon discharges. Surprisingly, the crystallization in the gaseous phase does not depend on how slow or fast the particles grow but on the presence of atomic hydrogen.

  6. Width dependent transition of quantized spin-wave modes in Ni{sub 80}Fe{sub 20} square nanorings

    SciTech Connect

    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.

  7. Total Gross Tumor Volume Is an Independent Prognostic Factor in Patients Treated With Selective Nodal Irradiation for Stage I to III Small Cell Lung Cancer

    SciTech Connect

    Reymen, Bart; Van Loon, Judith; Baardwijk, Angela van; Wanders, Rinus; Borger, Jacques; Dingemans, Anne-Marie C.; Bootsma, Gerben; Pitz, Cordula; Lunde, Ragnar; Geraedts, Wiel; Lambin, Philippe; De Ruysscher, Dirk; University Hospital Leuven/ KU Leuven, Leuven

    2013-04-01

    Purpose: In non-small cell lung cancer, gross tumor volume (GTV) influences survival more than other risk factors. This could also apply to small cell lung cancer. Methods and Materials: Analysis of our prospective database with stage I to III SCLC patients referred for concurrent chemo radiation therapy. Standard treatment was 45 Gy in 1.5-Gy fractions twice daily concurrently with carboplatin-etoposide, followed by prophylactic cranial irradiation (PCI) in case of non-progression. Only fluorodeoxyglucose (FDG)-positron emission tomography (PET)-positive or pathologically proven nodal sites were included in the target volume. Total GTV consisted of post chemotherapy tumor volume and pre chemotherapy nodal volume. Survival was calculated from diagnosis (Kaplan-Meier ). Results: A total of 119 patients were included between May 2004 and June 2009. Median total GTV was 93 ± 152 cc (7.5-895 cc). Isolated elective nodal failure occurred in 2 patients (1.7%). Median follow-up was 38 months, median overall survival 20 months (95% confidence interval = 17.8-22.1 months), and 2-year survival 38.4%. In multivariate analysis, only total GTV (P=.026) and performance status (P=.016) significantly influenced survival. Conclusions: In this series of stage I to III small cell lung cancer patients treated with FDG-PET-based selective nodal irradiation total GTV is an independent risk factor for survival.

  8. Concord Four Square Retrofit

    SciTech Connect

    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.

  9. 1020 One Energy Square

    Office of Environmental Management (EM)

    ... - the transmission voltage class from 69 kilovolts to 525 kilovolts. These power generating units range from 20 to 300 megawatts. The adaptable transformer design allows WATTSTOCK ...

  10. Effects of in-situ and reanalysis climate data on estimation of cropland gross primary production using the Vegetation Photosynthesis Model

    SciTech Connect

    Jin, Cui; Xiao, Xiangming; Wagle, Pradeep; Griffis, Timothy; Dong, Jinwei; Wu, Chaoyang; Qin, Yuanwei; Cook, David R.

    2015-11-01

    Satellite-based Production Efficiency Models (PEMs) often require meteorological reanalysis data such as the North America Regional Reanalysis (NARR) by the National Centers for Environmental Prediction (NCEP) as model inputs to simulate Gross Primary Production (GPP) at regional and global scales. This study first evaluated the accuracies of air temperature (TNARR) and downward shortwave radiation (RNARR) of the NARR by comparing with in-situ meteorological measurements at 37 AmeriFlux non-crop eddy flux sites, then used one PEM – the Vegetation Photosynthesis Model (VPM) to simulate 8-day mean GPP (GPPVPM) at seven AmeriFlux crop sites, and investigated the uncertainties in GPPVPM from climate inputs as compared with eddy covariance-based GPP (GPPEC). Results showed that TNARR agreed well with in-situ measurements; RNARR, however, was positively biased. An empirical linear correction was applied to RNARR, and significantly reduced the relative error of RNARR by ~25% for crop site-years. Overall, GPPVPM calculated from the in-situ (GPPVPM(EC)), original (GPPVPM(NARR)) and adjusted NARR (GPPVPM(adjNARR)) climate data tracked the seasonality of GPPEC well, albeit with different degrees of biases. GPPVPM(EC) showed a good match with GPPEC for maize (Zea mays L.), but was slightly underestimated for soybean (Glycine max L.). Replacing the in-situ climate data with the NARR resulted in a significant overestimation of GPPVPM(NARR) (18.4/29.6% for irrigated/rainfed maize and 12.7/12.5% for irrigated/rainfed soybean). GPPVPM(adjNARR) showed a good agreement with GPPVPM(EC) for both crops due to the reduction in the bias of RNARR. The results imply that the bias of RNARR introduced significant uncertainties into the PEM-based GPP estimates, suggesting that more accurate surface radiation datasets are needed to estimate primary production of terrestrial ecosystems at regional and global scales.

  11. The Impact of Positron Emission Tomography/Computed Tomography in Edge Delineation of Gross Tumor Volume for Head and Neck Cancers

    SciTech Connect

    Ashamalla, Hani . E-mail: hashamalla@aol.com; Guirgius, Adel; Bieniek, Ewa; Rafla, Sameer; Evola, Alex; Goswami, Ganesh; Oldroyd, Randall; Mokhtar, Bahaa; Parikh, Kapila

    2007-06-01

    Purpose: To study anatomic biologic contouring (ABC), using a previously described distinct halo, to unify volume contouring methods in treatment planning for head and neck cancers. Methods and Materials: Twenty-five patients with head and neck cancer at various sites were planned for radiation therapy using positron emission tomography/computed tomography (PET/CT). The ABC halo was used in all PET/CT scans to contour the gross tumor volume (GTV) edge. The CT-based GTV (GTV-CT) and PET/CT-based GTV (GTV-ABC) were contoured by two independent radiation oncologists. Results: The ABC halo was observed in all patients studied. The halo had a standard unit value of 2.19 {+-} 0.28. The mean halo thickness was 2.02 {+-} 0.21 mm. Significant volume modification ({>=}25%) was seen in 17 of 25 patients (68%) after implementation of GTV-ABC. Concordance among observers was increased with the use of the halo as a guide for GTV determination: 6 patients (24%) had a {<=}10% volume discrepancy with CT alone, compared with 22 (88%) with PET/CT (p < 0.001). Interobserver variability decreased from a mean GTV difference of 20.3 cm{sup 3} in CT-based planning to 7.2 cm{sup 3} in PET/CT-based planning (p < 0.001). Conclusions: Using the 'anatomic biologic halo' to contour GTV in PET/CT improves consistency among observers. The distinctive appearance of the described halo and its presence in all of the studied tumors make it attractive for GTV contouring in head and neck tumors. Additional studies are needed to confirm the correlation of the halo with presence of malignant cells.

  12. Theoretical and experimental analysis of AlGaInP micro-LED array with square-circle anode

    SciTech Connect

    Tian, Chao; Wang, Weibiao Liang, Jingqiu Liang, Zhongzhu; Qin, Yuxin; Lv, Jinguang

    2015-04-15

    An array of 320 × 240 micro-light-emitting diodes (micro-LEDs) based on an AlGaInP epitaxial wafer and with a unit size of 100 µm×100 µm was designed and fabricated. The optimum width of the isolation groove between adjacent light-emitting units was determined based on a compromise between full isolation of each LED and maximization of the light emitting area, and was found to be 20 µm. The grooves were filled with a mixed Si granule-polyurethane composite medium, because this type of insulating material can reflect part of the emitted light from the sidewall to the window layer in each light-emitting unit, and could thus improve lighting output efficiency. The 10-µm-wide square-circle anode was designed to increase the light emitting area while simultaneously being simple to fabricate. The device current used was in the 0.42–1.06 mA range to guarantee internal quantum efficiency of more than 85%, with a corresponding voltage range of 2–2.3 V. The layered temperature distribution in a single unit was simulated under a drive voltage of 2.2 V, and the maximum device temperature was 341 K. The micro-opto-electro-mechanical systems (MOEMS) technology-based fabrication process, experimental images of the device and device test results are presented here.

  13. Analysis of carbon-oxygen reactions by use of a square-input response technique and {sup 18}O isotope

    SciTech Connect

    Miura, Kouichi; Nakagawa, Hiroyuki

    1996-12-31

    Carbon gasification reaction has been investigated for decades including the pioneering works of Walker and his co-workers, but its mechanism has not been completely elucidated. The concept of the active surface area (ASA) was proposed by them, and its importance has been recognized. However, since ASA was measured by O{sub 2} chemisorption at below 300{degrees}C where carbon loss through gasification is negligible, it does not reflect the actual gasification situation. To overcome this weak point, measurements of ASA in a batch reactor and the so-called transient kinetic (TK) method were proposed. Ahmed and Back successfully measured the chemisorbed oxygen during the gasification using a batch reactor, and proposed a new mechanistic sequence for carbon-oxygen reaction which stresses the importance of the reaction between the gaseous oxygen and the chemisorbed oxygen. Radovic et al. proposed the concept of the reactive surface area (RSA), and reported excellent proportionality between the CO{sub 2} gasification rate and the RSA estimated by the TK and the TPD methods. Kapteijn et al. showed that the TK method with labeled molecules is more powerful to examine the mechanism. They found the presence of two types of surface oxygen complexes which desorb at different rates. A Square-input response (SIR) method is applied to the carbon-oxygen reaction. This method allows the observation of transient changes on two step changes. This method has been successfully applied to the analysis of a coal char gasification.

  14. Ionic liquid-assisted preparation of square-shaped Y{sub 2}O{sub 3} nanoplates

    SciTech Connect

    Wang, Lei; Fang, Hao; Xu, Hualan; Wang, Caoli; Li, Yuanjin; Liu, Yang; Zhong, Shengliang

    2015-01-15

    Highlights: • Y{sub 4}O(OH){sub 9}(NO{sub 3}) nanosheets were prepared by an ionic liquid-assisted mixed solvothermal route. • Y{sub 2}O{sub 3} nanosheets were obtained after calcining the Y{sub 4}O(OH){sub 9}(NO{sub 3}) nanosheets. • The Y{sub 2}O{sub 3} nanosheets are with length of about 300 nm and thickness of several nanometers. - Abstract: Uniform square-shaped Y{sub 4}O(OH){sub 9}(NO{sub 3}) nanoplates with side length of about 300 nm and thickness of tens of nanometers have been successfully prepared by an ionic liquid-assisted mixed solvothermal route. Y{sub 2}O{sub 3} nanoplates with similar size were obtained after calcining the Y{sub 4}O(OH){sub 9}(NO{sub 3}) nanoplates at 800 °C. The products were analyzed by powder X-ray diffraction (XRD), thermogravimetric analysis (TG), scanning electron microscopy (SEM), transmission electron microscopy (TEM), high resolution TEM (HRTEM), and electron diffraction (ED). The effects of reaction time, composition of solvents, and the molar ratio of reagents on the morphology of the products have been investigated. The possible formation mechanism of the Y{sub 4}O(OH){sub 9}(NO{sub 3}) nanoplates was also discussed. Y{sub 2}O{sub 3}:Eu{sup 3+} nanoplates were also synthesized and their photoluminescent properties were examined.

  15. SU-F-18C-14: Hessian-Based Norm Penalty for Weighted Least-Square CBCT Reconstruction

    SciTech Connect

    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.

  16. Do it yourself lighting power survey: lighting power audit for use with the Massachusetts type watts per square foot method of calculating a building's lighting power budget

    SciTech Connect

    Not Available

    1980-06-01

    Advantages of the self-audit approach to energy conservation are presented. These are that it is cheaper to do it yourself; the employees become part of the corporate conservation effect; and no one knows the building and its needs better than the occupant. Steps described in the lighting survey procedure are: (1) divide the building into categories; (2) determine the total square footage for each category; (3) assign a power allowance for each category; (4) multiply the total square footage for each category by the respective power allowances; (5) add the budget sub-totals for each category to determine total building budget; and (6) walk through the building room-by-room and calculate the connected lighting load fixture-by-fixture. Some worksheets are provided. (MCW)

  17. On square-integrability of solutions of the stationary Schrödinger equation for the quantum harmonic oscillator in two dimensional constant curvature spaces

    SciTech Connect

    Noguera, Norman; Rózga, Krzysztof

    2015-07-15

    In this work, one provides a justification of the condition that is usually imposed on the parameters of the hypergeometric equation, related to the solutions of the stationary Schrödinger equation for the harmonic oscillator in two-dimensional constant curvature spaces, in order to determine the solutions which are square-integrable. One proves that in case of negative curvature, it is a necessary condition of square integrability and in case of positive curvature, a necessary condition of regularity. The proof is based on the analytic continuation formulas for the hypergeometric function. It is observed also that the same is true in case of a slightly more general potential than the one for harmonic oscillator.

  18. Table 10.7 Solar Thermal Collector Shipments by Market Sector, End Use, and Type, 2001-2009 (Thousand Square Feet)

    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

  19. Two-dimensional equations of the surface harmonics method for solving problems of spatial neutron kinetics in square-lattice reactors

    SciTech Connect

    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.

  20. A Search for WIMP Dark Matter Using an Optimized Chi-square Technique on the Final Data from the Cryogenic Dark Matter Search Experiment (CDMS II)

    SciTech Connect

    Manungu Kiveni, Joseph

    2012-12-01

    This dissertation describes the results of a WIMP search using CDMS II data sets accumulated at the Soudan Underground Laboratory in Minnesota. Results from the original analysis of these data were published in 2009; two events were observed in the signal region with an expected leakage of 0.9 events. Further investigation revealed an issue with the ionization-pulse reconstruction algorithm leading to a software upgrade and a subsequent reanalysis of the data. As part of the reanalysis, I performed an advanced discrimination technique to better distinguish (potential) signal events from backgrounds using a 5-dimensional chi-square method. This dataanalysis technique combines the event information recorded for each WIMP-search event to derive a backgrounddiscrimination parameter capable of reducing the expected background to less than one event, while maintaining high efficiency for signal events. Furthermore, optimizing the cut positions of this 5-dimensional chi-square parameter for the 14 viable germanium detectors yields an improved expected sensitivity to WIMP interactions relative to previous CDMS results. This dissertation describes my improved (and optimized) discrimination technique and the results obtained from a blind application to the reanalyzed CDMS II WIMP-search data.

  1. Pb{sub 5}Fe{sub 3}TiO{sub 11}Cl: A rare example of Ti(IV) in a square pyramidal oxygen coordination

    SciTech Connect

    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 1.5–550 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) Å and c=19.3345(2) Å. 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) μ{sub B} and 3.86(5) μ{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 1.5–550 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.

  2. Uncertainty in least-squares fits to the thermal noise spectra of nanomechanical resonators with applications to the atomic force microscope

    SciTech Connect

    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.

  3. Precession effect of the gravitational self-force in a Schwarzschild spacetime and the effective one-body formalism

    SciTech Connect

    Barack, Leor; Damour, Thibault; Sago, Norichika

    2010-10-15

    Using a recently presented numerical code for calculating the Lorenz-gauge gravitational self-force (GSF), we compute the O(m) conservative correction to the precession rate of the small-eccentricity orbits of a particle of mass m moving around a Schwarzschild black hole of mass M>>m. Specifically, we study the gauge-invariant function {rho}(x), where {rho} is defined as the O(m) part of the dimensionless ratio ({Omega}-circumflex{sub r}/{Omega}-circumflex{sub {phi}}){sup 2} between the squares of the radial and azimuthal frequencies of the orbit, and where x=[Gc{sup -3}(M+m){Omega}-circumflex{sub {phi}}]{sup 2/3} is a gauge-invariant measure of the dimensionless gravitational potential (mass over radius) associated with the mean circular orbit. Our GSF computation of the function {rho}(x) in the interval 0GSF data give access to higher-order PN terms of {rho}(x) and can be used to set useful new constraints on the values of yet-undetermined EOB parameters. Most significantly, we observe that an excellent global representation of {rho}(x) can be obtained using a simple '2-point' Pade approximant which combines 3PN knowledge at x=0 with GSF information at a single strong-field point (say, x=1/6).

  4. High-throughput prediction of Acacia and eucalypt lignin syringyl/guaiacyl content using FT-Raman spectroscopy and partial least squares modeling

    DOE PAGES [OSTI]

    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

  5. High-throughput prediction of Acacia and eucalypt lignin syringyl/guaiacyl content using FT-Raman spectroscopy and partial least squares modeling

    SciTech Connect

    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 Acacia 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.

  6. From square-well to Janus: Improved algorithm for integral equation theory and comparison with thermodynamic perturbation theory within the Kern-Frenkel model

    SciTech Connect

    Giacometti, Achille; Gögelein, Christoph; Lado, Fred; Sciortino, Francesco; Ferrari, Silvano

    2014-03-07

    Building upon past work on the phase diagram of Janus fluids [F. Sciortino, A. Giacometti, and G. Pastore, Phys. Rev. Lett. 103, 237801 (2009)], we perform a detailed study of integral equation theory of the Kern-Frenkel potential with coverage that is tuned from the isotropic square-well fluid to the Janus limit. An improved algorithm for the reference hypernetted-chain (RHNC) equation for this problem is implemented that significantly extends the range of applicability of RHNC. Results for both structure and thermodynamics are presented and compared with numerical simulations. Unlike previous attempts, this algorithm is shown to be stable down to the Janus limit, thus paving the way for analyzing the frustration mechanism characteristic of the gas-liquid transition in the Janus system. The results are also compared with Barker-Henderson thermodynamic perturbation theory on the same model. We then discuss the pros and cons of both approaches within a unified treatment. On balance, RHNC integral equation theory, even with an isotropic hard-sphere reference system, is found to be a good compromise between accuracy of the results, computational effort, and uniform quality to tackle self-assembly processes in patchy colloids of complex nature. Further improvement in RHNC however clearly requires an anisotropic reference bridge function.

  7. A chi-square goodness-of-fit test for non-identically distributed random variables: with application to empirical Bayes

    SciTech Connect

    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.

  8. Oklahoma Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    209,342 201,517 207,703 214,000 199,578 212,608 1991-2016 From Gas Wells NA NA NA NA NA NA ... NA NA 1996-2016 Marketed Production 209,342 201,517 207,703 214,000 199,578 212,608 1989

  9. Tennessee Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    5,144 4,851 5,825 5,400 5,294 4,276 1967-2015 From Gas Wells 5,144 4,851 5,825 5,400 5,294 4,276 1967-2015 From Oil Wells 0 0 0 0 0 0 1967-2015 From Shale Gas Wells 0 0 0 0 0 0 2007-2015 From Coalbed Wells 0 0 0 0 0 0 2006-2015 Repressuring 0 0 0 0 0 0 1967-2015 Vented and Flared 0 0 0 0 0 0 1967-2015 Nonhydrocarbon Gases Removed 0 0 0 0 0 0 1997-2015 Marketed Production 5,144 4,851 5,825 5,400 5,294 4,276 1967-2015 Dry Production 4,638 4,335 5,324 4,912 4,912 3,937

  10. Texas Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    7,593,697 7,934,689 8,143,510 8,299,472 8,659,188 8,801,282 1967-2015 From Gas Wells 4,441,188 3,794,952 3,619,901 3,115,409 2,672,326 2,316,239 1967-2015 From Oil Wells 849,560 1,073,301 860,675 1,166,810 1,558,002 1,801,212 1967-2015 From Shale Gas Wells 2,302,950 3,066,435 3,662,933 4,017,253 4,428,859 4,683,831 2007-2015 From Coalbed Wells 0 0 0 0 0 0 2002-2015 Repressuring 558,854 502,020 437,367 423,413 440,153 533,047 1967-2015 Vented and Flared 39,569 35,248 47,530 76,113 90,125 113,786

  11. Texas Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    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

  12. Arizona Natural Gas Gross Withdrawals and Production

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

    From Gas Wells NA NA NA NA NA NA 1991-2016 From Oil Wells NA NA NA NA NA NA 1991-2016 From Shale Gas Wells NA NA NA NA NA NA 2007-2016 From Coalbed Wells NA NA NA NA NA NA ...

  13. Pennsylvania Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    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

  14. Pennsylvania Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    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

  15. Natural Gas Gross Withdrawals from Coalbed Wells

    Energy Information Administration (EIA) (indexed site)

    2002-2016 Alaska NA NA NA NA NA NA 2002-2016 Arkansas NA NA NA NA NA NA 2006-2016 California NA NA NA NA NA NA 2002-2016 Colorado NA NA NA NA NA NA 2002-2016 Federal Offshore Gulf ...

  16. Natural Gas Gross Withdrawals from Oil Wells

    Energy Information Administration (EIA) (indexed site)

    1-2016 Illinois NA NA NA NA NA NA 1991-2016 Indiana NA NA NA NA NA NA 1991-2016 Kentucky NA NA NA NA NA NA 1991-2016 Maryland NA NA NA NA NA NA 1991-2016 Michigan NA NA NA NA NA NA ...

  17. Illinois Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    1-2016 From Oil Wells NA NA NA NA NA NA 1991-2016 From Shale Gas Wells NA NA NA NA NA NA 2007-2016 From Coalbed Wells NA NA NA NA NA NA 2006-2016 Repressuring NA NA NA NA NA NA ...

  18. Colorado Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    From Gas Wells NA NA NA NA NA NA 1991-2016 From Oil Wells NA NA NA NA NA NA 1991-2016 From Shale Gas Wells NA NA NA NA NA NA 2007-2016 From Coalbed Wells NA NA NA NA NA NA ...

  19. Kansas Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    23,819 23,559 22,451 22,896 22,535 20,900 1991-2016 From Gas Wells NA NA NA NA NA NA 1991-2016 From Oil Wells NA NA NA NA NA NA 1991-2016 From Shale Gas Wells NA NA NA NA NA NA ...

  20. Maryland Natural Gas Gross Withdrawals and Production

    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 ...

  1. Missouri Natural Gas Gross Withdrawals and Production

    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 ...

  2. Natural Gas Gross Withdrawals from Gas Wells

    Energy Information Administration (EIA) (indexed site)

    6-2016 Illinois NA NA NA NA NA NA 1991-2016 Indiana NA NA NA NA NA NA 1991-2016 Kentucky NA NA NA NA NA NA 1991-2016 Maryland NA NA NA NA NA NA 1991-2016 Michigan NA NA NA NA NA NA ...

  3. Oregon Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    NA NA NA NA NA NA 1996-2016 From Gas Wells NA NA NA NA NA NA 1991-2016 From Oil Wells NA NA NA NA NA NA 1996-2016 From Shale Gas Wells NA NA NA NA NA NA 2007-2016 From Coalbed ...

  4. Louisiana Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    From Gas Wells NA NA NA NA NA NA 1991-2016 From Oil Wells NA NA NA NA NA NA 1991-2016 From Shale Gas Wells NA NA NA NA NA NA 2007-2016 From Coalbed Wells NA NA NA NA NA NA ...

  5. Michigan Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    NA NA NA NA NA NA 1991-2016 From Gas Wells NA NA NA NA NA NA 1991-2016 From Oil Wells NA NA NA NA NA NA 1991-2016 From Shale Gas Wells NA NA NA NA NA NA 2007-2016 From Coalbed ...

  6. Florida Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update

    3,938 17,129 18,681 18,011 3,178 5,790 1971-2015 From Gas Wells 0 0 17,182 16,459 43 69 1996-2015 From Oil Wells 13,938 17,129 1,500 1,551 3,135 5,720 1971-2015 From Shale Gas ...

  7. Arkansas Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update

    Pennsylvania Texas Utah West Virginia Wyoming Other States Total Alabama Arizona Florida Illinois Indiana Kentucky Maryland Michigan Mississippi Missouri Nebraska Nevada New ...

  8. Alabama Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update

    Pennsylvania Texas Utah West Virginia Wyoming Other States Total Alabama Arizona Florida Illinois Indiana Kentucky Maryland Michigan Mississippi Missouri Nebraska Nevada New ...

  9. Alaska Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update

    Pennsylvania Texas Utah West Virginia Wyoming Other States Total Alabama Arizona Florida Illinois Indiana Kentucky Maryland Michigan Mississippi Missouri Nebraska Nevada New ...

  10. Florida Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update

    6-2016 From Oil Wells NA NA NA NA NA NA 1991-2016 From Shale Gas Wells NA NA NA NA NA NA 2007-2016 From Coalbed Wells NA NA NA NA NA NA 2002-2016 Repressuring NA NA NA NA NA NA ...

  11. Arkansas Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    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 ...

  12. Alaska Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    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 ...

  13. Offshore Gross Withdrawals of Natural Gas

    Energy Information Administration (EIA) (indexed site)

    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 ...

  14. Alabama Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    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 ...

  15. Offshore Gross Withdrawals of Natural Gas

    Energy Information Administration (EIA) (indexed site)

    Nov-15 Dec-15 Jan-16 Feb-16 Mar-16 Apr-16 View History Federal Offshore 106,086 112,137 108,752 101,117 111,581 102,289 1997-2016 From Gas Wells NA NA NA NA NA NA 1997-2016 From ...

  16. Arizona Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    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 ...

  17. Louisiana Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    2,218,283 3,040,523 2,955,437 2,366,943 1,968,618 1,784,797 1967-2015 From Gas Wells 911,967 883,712 775,506 780,623 720,416 619,242 1967-2015 From Oil Wells 63,638 68,505 49,380 51,948 50,722 44,748 1967-2015 From Shale Gas Wells 1,242,678 2,088,306 2,130,551 1,534,372 1,197,480 1,120,806 2007-2015 From Coalbed Wells 0 0 0 0 0 0 2002-2015 Repressuring 3,606 5,015 0 2,829 3,199 4,248 1967-2015 Vented and Flared 4,578 6,302 0 3,912 4,606 3,748 1967-2015 Nonhydrocarbon Gases Removed 0 0 0 0 0 0

  18. Michigan Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    136,782 143,826 129,333 123,622 115,065 107,634 1967-2015 From Gas Wells 7,345 18,470 17,041 17,502 14,139 12,329 1967-2015 From Oil Wells 9,453 11,620 4,470 4,912 5,560 4,796 1967-2015 From Shale Gas Wells 119,984 113,736 107,822 101,208 95,366 90,509 2007-2015 From Coalbed Wells 0 0 0 0 0 0 2002-2015 Repressuring 2,340 2,340 0 0 NA 0 1967-2015 Vented and Flared 3,324 3,324 0 0 NA 0 1967-2015 Nonhydrocarbon Gases Removed 0 0 0 0 0 0 1996-2015 Marketed Production 131,118 138,162 129,333 123,622

  19. Mississippi Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    401,660 443,351 452,915 59,272 54,446 58,207 1967-2015 From Gas Wells 387,026 429,829 404,457 47,385 43,020 44,868 1967-2015 From Oil Wells 8,714 8,159 43,421 7,256 7,136 9,220 1967-2015 From Shale Gas Wells 0 0 0 0 0 0 2007-2015 From Coalbed Wells 5,921 5,363 5,036 4,630 4,289 4,119 2002-2015 Repressuring 3,480 3,788 0 0 NA 0 1967-2015 Vented and Flared 8,685 9,593 0 0 NA 0 1967-2015 Nonhydrocarbon Gases Removed 315,775 348,482 389,072 0 NA 0 1980-2015 Marketed Production 73,721 81,487 63,843

  20. Montana Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    93,266 79,506 66,954 63,242 59,160 57,421 1967-2015 From Gas Wells 51,117 37,937 27,518 19,831 17,015 13,571 1967-2015 From Oil Wells 19,292 21,777 20,085 23,152 22,757 23,065 1967-2015 From Shale Gas Wells 12,937 13,101 15,619 18,636 18,910 20,428 2007-2015 From Coalbed Wells 9,920 6,691 3,731 1,623 478 357 2002-2015 Repressuring 5 4 0 0 NA 0 1967-2015 Vented and Flared 5,722 4,878 0 0 NA 0 1967-2015 Nonhydrocarbon Gases Removed NA NA 0 0 NA 0 1996-2015 Marketed Production 87,539 74,624 66,954

  1. Montana Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    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

  2. Wyoming Natural Gas Gross Withdrawals and Production

    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 ... NA NA 1991-2015 Marketed Production 150,260 149,361 145,208 149,375 145,622 147,684 1989

  3. Utah Natural Gas Gross Withdrawals and Production

    Annual Energy Outlook

    From Gas Wells NA NA NA NA NA NA 1991-2016 From Oil Wells NA NA NA NA NA NA 1991-2016 From Shale Gas Wells NA NA NA NA NA NA 2007-2016 From Coalbed Wells NA NA NA NA NA NA ...

  4. Nebraska Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    2,255 1,980 1,328 1,032 417 477 1967-2015 From Gas Wells 2,092 1,854 1,317 1,027 353 399 1967-2015 From Oil Wells 163 126 11 5 63 78 1967-2015 From Shale Gas Wells 0 0 0 0 0 0 2007-2015 From Coalbed Wells 0 0 0 0 0 0 2006-2015 Repressuring 0 0 0 0 0 0 1967-2015 Vented and Flared 24 21 0 0 NA 0 1967-2015 Nonhydrocarbon Gases Removed 0 0 0 0 NA 0 2006-2015 Marketed Production 2,231 1,959 1,328 1,032 417 477 1967-2015 Dry Production 2,231 1,959 1,328 1,032 417 477

  5. Ohio Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    78,122 78,858 84,482 166,017 512,371 1,014,848 1967-2015 From Gas Wells 73,459 30,655 65,025 55,583 51,541 46,237 1967-2015 From Oil Wells 4,651 45,663 6,684 10,317 13,022 32,674 1967-2015 From Shale Gas Wells 11 2,540 12,773 100,117 447,809 935,937 2007-2015 From Coalbed Wells 0 0 0 0 0 0 2006-2015 Repressuring 0 0 0 0 0 0 1967-2015 Vented and Flared 0 0 0 0 0 0 1967-2015 Nonhydrocarbon Gases Removed 0 0 0 0 0 0 2006-2015 Marketed Production 78,122 78,858 84,482 166,017 512,371 1,014,848

  6. Ohio Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    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

  7. Oklahoma Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    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

  8. Natural Gas Gross Withdrawals from Coalbed Wells

    Energy Information Administration (EIA) (indexed site)

    ,916,762 1,779,055 1,539,395 1,425,783 1,307,072 1,181,320 2002-2015 Alaska 0 0 0 0 0 0 2002-2015 Alaska Onshore 0 0 0 0 0 0 2007-2015 Arkansas 0 0 0 0 0 0 2006-2015 California 0 0 0 0 0 0 2002-2015 Colorado 529,891 514,531 376,543 449,281 420,383 398,298 2002-2015 Federal Offshore Gulf of Mexico 0 0 0 0 0 0 2002-2015 Kansas 38,869 35,924 31,689 28,244 25,387 23,359 2002-2015 Louisiana 0 0 0 0 0 0 2002-2015 Louisiana Onshore 0 0 0 0 0 0 2007-2015 Montana 9,920 6,691 3,731 1,623 478 357 2002-2015

  9. Natural Gas Gross Withdrawals from Oil Wells

    Annual Energy Outlook

    NA NA NA NA NA NA 1991-2016 Missouri NA NA NA NA NA NA 1991-2016 Nebraska NA NA NA NA NA NA 1991-2016 Nevada NA NA NA NA NA NA 1991-2016 New York NA NA NA NA NA NA 1991-2016 Oregon ...

  10. Nevada Natural Gas Gross Withdrawals and Production

    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 ...

  11. Natural Gas Gross Withdrawals from Gas Wells

    Gasoline and Diesel Fuel Update

    NA NA NA NA NA NA 1991-2016 Missouri NA NA NA NA NA NA 1991-2016 Nebraska NA NA NA NA NA NA 1991-2016 Nevada NA NA NA NA NA NA 1991-2016 New York NA NA NA NA NA NA 1991-2016 Oregon ...

  12. California Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    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. California Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    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. Colorado Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    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. Natural Gas Gross Withdrawals from Coalbed Wells

    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...

  16. Natural Gas Gross Withdrawals from Coalbed Wells

    Annual Energy Outlook

    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...

  17. Natural Gas Gross Withdrawals from Gas Wells

    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....

  18. Advanced Energy Gross Receipts Tax Deduction

    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...

  19. Virginia Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    147,255 151,094 146,405 139,382 133,661 127,584 1967-2015 From Gas Wells 23,086 20,375 21,802 26,815 10,143 10,679 1967-2015 From Oil Wells 0 0 9 9 12 8 2006-2015 From Shale Gas Wells 16,433 18,501 17,212 13,016 12,309 11,059 2007-2015 From Coalbed Wells 107,736 112,219 107,383 99,542 111,197 105,838 2006-2015 Repressuring 0 0 0 0 0 0 2003-2015 Vented and Flared NA NA 0 0 NA 0 1967-2015 Nonhydrocarbon Gases Removed 0 0 0 0 0 0 1997-2015 Marketed Production 147,255 151,094 146,405 139,382 133,661

  20. Natural Gas Gross Withdrawals from Gas Wells

    Gasoline and Diesel Fuel Update

    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...

  1. Natural Gas Gross Withdrawals from Oil Wells

    Energy Information Administration (EIA) (indexed site)

    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...

  2. Monthly Natural Gas Gross Production Report

    Gasoline and Diesel Fuel Update

  3. Kentucky Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    135,330 124,243 106,122 94,665 93,091 85,775 1967-2015 From Gas Wells 133,521 122,578 106,122 94,665 93,091 85,775 1967-2015 From Oil Wells 1,809 1,665 0 0 0 0 1967-2015 From Shale Gas Wells 0 0 0 0 0 0 2007-2015 From Coalbed Wells 0 0 0 0 0 0 2006-2015 Repressuring 0 0 0 0 NA 0 2006-2015 Vented and Flared 0 0 0 0 NA 0 1967-2015 Nonhydrocarbon Gases Removed 0 0 0 0 NA 0 2006-2015 Marketed Production 135,330 124,243 106,122 94,665 93,091 85,775 1967-2015 Dry Production 130,754 119,559 99,551

  4. Illinois Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    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...

  5. Utah Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    1967-2014 From Gas Wells 340,224 328,135 351,168 402,899 383,216 360,587 1967-2014 From Oil Wells 36,795 42,526 49,947 31,440 36,737 44,996 1967-2014 From Shale Gas Wells 0 0 0...

  6. Indiana Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    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...

  7. Wyoming Natural Gas Gross Withdrawals and Production

    Energy Information Administration (EIA) (indexed site)

    From Gas Wells 1,806,807 1,787,599 1,709,218 1,762,095 1,673,667 1,671,442 1967-2014 From Oil Wells 135,269 151,871 152,589 24,544 29,134 38,974 1967-2014 From Shale Gas Wells...

  8. Total Natural Gas Gross Withdrawals (Summary)

    Gasoline and Diesel Fuel Update

    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 ...

  9. Total Natural Gas Gross Withdrawals (Summary)

    Gasoline and Diesel Fuel Update

    & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual Download Series History Download Series History ...

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

    Energy Information Administration (EIA) (indexed site)

    26480,169171,125319,43852,,,0,2649,,166522 26845,159476,120068,39408,,,0,1947,,157529 27210,125691,92265,33426,,,0,1716,,123975 27575,121518,91270,30248,,,3963,1318,...

  11. Natural Gas Gross Withdrawals from Oil Wells

    Energy Information Administration (EIA) (indexed site)

    Federal Offshore Gulf of Mexico 566,380 559,235 476,984 513,961 509,357 568,801 1997-2014 ... Montana 21,522 19,292 21,777 20,085 23,152 23,479 1967-2014 New Mexico 223,493 238,580 ...

  12. Solar Energy Gross Receipts Tax Deduction

    Office of Energy Efficiency and Renewable Energy (EERE)

    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...

  13. Indiana Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update

    Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Indiana Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 8 2010's 8 7 13 8 8 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate Proved Reserves, as of Dec. 31

  14. Kentucky Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update

    Production (Billion Cubic Feet) Kansas Shale Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 1 3 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas Estimated Production Kansas Shale Gas Proved Reserves, Reserves Changes, and Production Shale Gas

    Proved Reserves

  15. Maryland Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 36 31 60 39 20 44 29 34 1990's 22 29 33 28 26 22 135 118 63 18 2000's 34 32 22 48 34 46 48 35 28 43 2010's 43 34 44 32 20 27 Foot)

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 1,038 1,035 1,037 2010's 1,027 1,027 1,037 1,045 1,053 1,055

    Foot)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,041 1,037 1,032 1,027 1,037 1,042 1,060 1,056 1,062

  16. Mississippi Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update

    Feet) Proved Reserves (Billion 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 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: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane Proved Reserves as of Dec. 31 Mississippi Coalbed Methane Proved Reserves, Reserves Changes, and Production

    off) Shale

  17. Missouri Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update

    835,855 800,065 771,577 830,756 806,396 819,763 1984-2014 Residential 5 5 4 7 7 8 1984-2014 Commercial 26,641 23,713 26,383 26,386 24,019 28,803 1984-2014 Industrial 21,853 18,362 15,450 20,153 21,186 19,595 1984-2014 Oil Company 3,955 4,262 4,058 6,226 7,450 6,419 1984-2014 Farm 41,080 57,087 52,559 81,878 84,753 79,443 1984-2014 Electric Power 3,796 3,393 2,019 1,674 2,223 1,921 1984-2014 Railroad 24,727 17,936 37,741 29,848 32,550 35,578 1984-2014 Vessel Bunkering 141,302 93,384 58,285 58,505

  18. Nebraska Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update

    www.eia.gov Joe Benneche July 31, 2012, Washington, DC Major assumption changes for AEO2013 Oil and Gas Working Group Natural Gas Transmission and Distribution Module DRAFT WORKING GROUP PRESENTATION DO NOT QUOTE OR CITE Overview 2 Joe Benneche, Washington, DC, July 31, 2012 * Replace regional natural gas wellhead price projections with regional spot price projections * Pricing of natural gas vehicles fuels (CNG and LNG) * Methodology for modeling exports of LNG * Assumptions on charges related

  19. Nevada Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update

    -4,282 6,424 1,491 -309 559 7,371 1969-2015 Alabama -21 -75 -22 63 -206 226 1980-2015 Alaska 0 0 1969-2015 Arkansas 2 -7 9 12 14 -35 1980-2015 California 2 7 -5 3 1 2 1980-2015 Colorado 0 0 0 1980-2015 Connecticut 178 129 260 -68 -327 -558 1980-2015 Delaware -2 -31 51 -68 29 -17 1980-2015 Georgia 379 2,542 1,378 1,205 3,085 3,826 1980-2015 Idaho 70 -19 139 -259 -676 143 1981-2015 Illinois 74 127 419 -322 -442 437 1980-2015 Indiana 835 -380 -977 -81 771 205 1980-2015 Iowa 146 14 428 -151 -647 546

  20. Tennessee Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2,976 3,950 5,022 4,686 3,464 2,707 2,100 1,900 1990's 2,067 1,856 1,770 1,660 1,990 1,820 1,690 1,510 1,420 1,230 2000's 1,150 2,000 2,050 1,803 2,100 2,200 2,663 3,942 4,700 5,478 2010's 4,638 4,335 5,324 4,912 4,912 3,937 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 1,038 1,037 1,028 2010's 1,023 1,014 1,014 1,019 1,027 1,029

    Cubic Foot)

    Year

  1. Virginia Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update

    Expected Future Production (Billion Cubic Feet) Virginia Dry Natural Gas Expected Future Production (Billion 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 122 175 216 235 253 248 230 217 1990's 138 225 904 1,322 1,833 1,836 1,930 2,446 1,973 2,017 2000's 1,704 1,752 1,673 1,717 1,742 2,018 2,302 2,529 2,378 3,091 2010's 3,215 2,832 2,579 2,373 2,800 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  2. Property:GrossGen | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    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 +...

  3. 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

    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)

  4. A VIRTUAL SKY WITH EXTRAGALACTIC H I AND CO LINES FOR THE SQUARE KILOMETRE ARRAY AND THE ATACAMA LARGE MILLIMETER/SUBMILLIMETER ARRAY

    SciTech Connect

    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.

  5. Cervical Gross Tumor Volume Dose Predicts Local Control Using Magnetic Resonance Imaging/Diffusion-Weighted Imaging—Guided High-Dose-Rate and Positron Emission Tomography/Computed Tomography—Guided Intensity Modulated Radiation Therapy

    SciTech Connect

    Dyk, Pawel; Jiang, Naomi; Sun, Baozhou; DeWees, Todd A.; Fowler, Kathryn J.; Narra, Vamsi; Garcia-Ramirez, Jose L.; Schwarz, Julie K.; Grigsby, Perry W.

    2014-11-15

    Purpose: Magnetic resonance imaging/diffusion weighted-imaging (MRI/DWI)-guided high-dose-rate (HDR) brachytherapy and {sup 18}F-fluorodeoxyglucose (FDG) — positron emission tomography/computed tomography (PET/CT)-guided intensity modulated radiation therapy (IMRT) for the definitive treatment of cervical cancer is a novel treatment technique. The purpose of this study was to report our analysis of dose-volume parameters predicting gross tumor volume (GTV) control. Methods and Materials: We analyzed the records of 134 patients with International Federation of Gynecology and Obstetrics stages IB1-IVB cervical cancer treated with combined MRI-guided HDR and IMRT from July 2009 to July 2011. IMRT was targeted to the metabolic tumor volume and lymph nodes by use of FDG-PET/CT simulation. The GTV for each HDR fraction was delineated by use of T2-weighted or apparent diffusion coefficient maps from diffusion-weighted sequences. The D100, D90, and Dmean delivered to the GTV from HDR and IMRT were summed to EQD2. Results: One hundred twenty-five patients received all irradiation treatment as planned, and 9 did not complete treatment. All 134 patients are included in this analysis. Treatment failure in the cervix occurred in 24 patients (18.0%). Patients with cervix failures had a lower D100, D90, and Dmean than those who did not experience failure in the cervix. The respective doses to the GTV were 41, 58, and 136 Gy for failures compared with 67, 99, and 236 Gy for those who did not experience failure (P<.001). Probit analysis estimated the minimum D100, D90, and Dmean doses required for ≥90% local control to be 69, 98, and 260 Gy (P<.001). Conclusions: Total dose delivered to the GTV from combined MRI-guided HDR and PET/CT-guided IMRT is highly correlated with local tumor control. The findings can be directly applied in the clinic for dose adaptation to maximize local control.

  6. REPORT ON THE ELIMINATION OF EXCESS FACILITIES

    Office of Environmental Management (EM)

    FY 2013 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 March 2014 2 FY 2002 to FY 2012 Dispositions (square feet) FY 2013 Dispositions (square feet) FY 2013 Gross Banked Dispositions (square feet) FY 2002 to FY 2012 Additions Subject to Offset (square feet) FY 2013 Additions subject to Offset (square feet) Total Additions Subject to Offset (square feet) FY 2013 Net Banked Area (square

  7. Potential energy surface fitting by a statistically localized, permutationally invariant, local interpolating moving least squares method for the many-body potential: Method and application to N{sub 4}

    SciTech Connect

    Bender, Jason D.; Doraiswamy, Sriram; Candler, Graham V. E-mail: candler@aem.umn.edu; Truhlar, Donald G. E-mail: candler@aem.umn.edu

    2014-02-07

    Fitting potential energy surfaces to analytic forms is an important first step for efficient molecular dynamics simulations. Here, we present an improved version of the local interpolating moving least squares method (L-IMLS) for such fitting. Our method has three key improvements. First, pairwise interactions are modeled separately from many-body interactions. Second, permutational invariance is incorporated in the basis functions, using permutationally invariant polynomials in Morse variables, and in the weight functions. Third, computational cost is reduced by statistical localization, in which we statistically correlate the cutoff radius with data point density. We motivate our discussion in this paper with a review of global and local least-squares-based fitting methods in one dimension. Then, we develop our method in six dimensions, and we note that it allows the analytic evaluation of gradients, a feature that is important for molecular dynamics. The approach, which we call statistically localized, permutationally invariant, local interpolating moving least squares fitting of the many-body potential (SL-PI-L-IMLS-MP, or, more simply, L-IMLS-G2), is used to fit a potential energy surface to an electronic structure dataset for N{sub 4}. We discuss its performance on the dataset and give directions for further research, including applications to trajectory calculations.

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

    Gasoline and Diesel Fuel Update

    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)...

  9. Characterization of the antiferromagnetism in Ag(pyz)2(S2O8) with a two-dimensional square lattice of Ag 2+ ions (Ag=silver, Pyz-pyrdzine, S2O8=sulfate)

    SciTech Connect

    Singleton, John; Mc Donald, R; Sengupta, P; Cox, S; Manson, J; Southerland, H; Warter, M; Stone, K; Stephens, P; Lancaster, T; Steele, A; Blundell, S; Baker, P; Pratt, F; Lee, C; Whangbo, M

    2009-01-01

    X-ray powder diffraction and magnetic susceptibility measurements show that Ag(pyz){sub 2}(S{sub 2}O{sub 8}) consists of 2D square nets of Ag{sup 2+} ions resulting from the corner-sharing of axially elongated AgN{sub 4}O{sub 2} octahedra and exhibits characteristic 2D antiferromagnetism. Nevertheless, {mu}{sup +}Sr measurements indicate that Ag(pyz){sub 2}(S{sub 2}O{sub 8}) undergoes 3D magnetic ordering below 7.8(3) K.

  10. 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

    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.

  11. Kennett Square, Pennsylvania: Energy Resources | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 39.8467767, -75.7116032 Show Map Loading map... "minzoom":false,"mappingservice":"googlemaps3","type"...

  12. Square Engineering Pvt Ltd | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    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...

  13. SHERATON STATION SQUARE FLOOR PLAN FIRST FLOOR

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

    ... Slipstream Pilot-Scale Demonstration of a Novel Amine-Based Post-Combustion Process Technology for CO 2 Capture from Coal-Fired Power Plant Flue Gas (FE0007453) Krish ...

  14. Virginia Natural Gas Gross Withdrawals from Shale Gas (Million...

    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 2000's 19,100 19,468 18,284 2010's 16,433 18,501 17,212 13,016 12,226

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

    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 212,090 237,741 232,371 1970's 242,981 234,314 215,136 208,816 202,306 154,484 153,322 152,767 ...

  16. Alaska Natural Gas Gross Withdrawals from Oil Wells (Million...

    Energy Information Administration (EIA) (indexed site)

    224,465 251,565 233,399 236,410 214,717 212,760 232,507 223,031 261,025 274,702 290,992 1995 274,804 247,021 277,758 257,212 260,177 235,728 232,612 254,927 244,310 287,014 ...

  17. Alabama--onshore Natural Gas Gross Withdrawals (Million Cubic...

    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 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 ...

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

    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 0 0 0 1970's 0 497 205 185 393 612 532 855 1,482 1,605 1980's 1,241 1,719 2,976 3,950 5,022 4,686 3,464 2,707 2,100 1,900 1990's 2,067 1,856 1,770 1,660 1,990 1,820 1,690 1,510 1,420 1,230 2000's 1,150 2,000 2,050 1,803 2,100 2,200 2,663 3,942 4,700 5,478 2010's 5,144 4,851 5,825 5,400 5,294 4,276

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

    Energy Information Administration (EIA) (indexed site)

    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 0

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

    Energy Information Administration (EIA) (indexed site)

    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 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 NA NA NA NA NA NA NA NA

  1. U.S. Natural Gas Gross Withdrawals (Billion Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1973 NA NA NA NA NA NA NA NA NA NA NA NA 1974 NA NA NA NA NA NA NA NA NA NA NA NA 1975 NA NA NA NA NA NA NA NA NA NA NA NA 1976 NA NA NA NA NA NA NA NA NA NA NA NA 1977 NA NA NA NA NA NA NA NA NA NA NA NA 1978 NA NA NA NA NA NA NA NA NA NA NA NA 1979 NA NA NA NA NA NA NA NA NA NA NA NA 1980 1,960 1,840 1,971 1,806 1,840 1,725 1,756 1,716 1,723 1,790 1,790 1,949 1981 1,890 1,702 1,871 1,808 1,838 1,770 1,797 1,841 1,716 1,781 1,714 1,860 1982

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

    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 1930's 2,691,512 3,084,567 3,108,858 3,387,095 1940's 3,752,702 4,168,116 4,525,095 5,024,449 5,708,288 6,000,161 6,293,037 6,733,230 7,178,777 7,546,825 1950's 8,479,650 9,689,372 10,272,566 10,645,798 10,984,850 11,719,794 12,372,905 12,906,669 13,146,635 14,229,272 1960's 15,087,911 15,460,312 16,038,973 16,973,368 17,535,553 17,963,100 19,033,839 20,251,776 21,325,000 22,679,195 1970's 23,786,453 24,088,031

  3. Ohio Natural Gas Gross Withdrawals from Shale Gas (Million Cubic...

    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 2000's 14 17 13 2010's 11 2,540 12,773 100,117 447,809 935,937

  4. West Virginia Natural Gas Gross Withdrawals from Shale Gas (Million...

    Gasoline and Diesel Fuel Update

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 40,515 53,436 71,540 2010's 113,773 227,012 344,847 572,076 880,422 1,142,714

  5. Louisiana Natural Gas Gross Withdrawals from Shale Gas (Million...

    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 2000's 14,986 37,499 400,594 2010's 1,242,678 2,088,306 2,130,551 1,534,372 1,197,480 1,120,806

  6. Oklahoma Natural Gas Gross Withdrawals from Shale Gas (Million...

    Annual Energy Outlook

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 83,015 204,474 327,805 2010's 406,143 449,167 503,329 663,507 746,686 759,519

  7. Kansas Natural Gas Gross Withdrawals from Shale Gas (Million...

    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 2000's 0 0 0 2010's 0 0 0 0 0 0

  8. ,"Illinois Natural Gas Gross Withdrawals from Shale Gas (Million...

    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 ...

  9. Maryland Natural Gas Gross Withdrawals from Shale Gas (Million...

    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 0 - No Data Reported; -- Not ...

  10. Wyoming Natural Gas Gross Withdrawals from Shale Gas (Million...

    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 2000's 3,897 4,776 4,055 2010's 5,519 4,755 9,252 16,175 25,783 31,186

  11. Mississippi Natural Gas Gross Withdrawals from Shale Gas (Million...

    Annual Energy Outlook

    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 0

  12. Florida Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

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

  13. California Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998 10,643 10,998 10,998 10,643 10,998 10,643 10,998 2008 10,097 9,446 10,097 9,772 10,097 ...

  14. California Natural Gas Gross Withdrawals from Shale Gas (Million...

    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 2000's 129,488 119,215 102,027 2010's 95,505 94,349 87,854 94,268 107,577 107,964

  15. Indiana Natural Gas Gross Withdrawals from Shale Gas (Million...

    Annual Energy Outlook

    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 0

  16. Virginia Natural Gas Gross Withdrawals from Shale Gas (Million...

    Annual Energy Outlook

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 19,100 19,468 18,284 2010's 16,433 18,501 17,212 13,016 12,309 11,059

  17. Kansas Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

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

  18. Arizona Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

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

  19. Montana Natural Gas Gross Withdrawals from Shale Gas (Million...

    Gasoline and Diesel Fuel Update

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 14,587 14,509 13,957 2010's 12,937 13,101 15,619 18,636 18,910 20,428

  20. ,"Kentucky Natural Gas Gross Withdrawals from Shale Gas (Million...

    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","Kentucky ...

  1. Alabama Natural Gas Gross Withdrawals from Shale Gas (Million...

    Annual Energy Outlook

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

  2. Arkansas Natural Gas Gross Withdrawals from Shale Gas (Million...

    Gasoline and Diesel Fuel Update

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 84,049 265,729 510,554 2010's 769,679 935,237 1,021,484 1,029,095 1,015,615 910,744

  3. ,"Maryland Natural Gas Gross Withdrawals from Shale Gas (Million...

    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 ...

  4. Utah Natural Gas Gross Withdrawals from Shale Gas (Million Cubic...

    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 2000's 0 0 0 2010's 0 0 1,333 992 877 676

  5. Arizona Natural Gas Gross Withdrawals from Shale Gas (Million...

    Annual Energy Outlook

    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 0

  6. Tennessee Natural Gas Gross Withdrawals from Shale Gas (Million...

    Annual Energy Outlook

    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 0

  7. Florida Natural Gas Gross Withdrawals from Shale Gas (Million...

    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 2000's 0 0 0 2010's 0 0 0 0 0 0

  8. Natural Gas Gross Withdrawals from Shale Gas Wells

    Energy Information Administration (EIA) (indexed site)

    17,122 8,500,983 10,532,858 11,932,524 13,974,936 15,475,887 2007-2015 Arkansas 769,679 935,237 1,021,484 1,029,095 1,015,615 910,744 2007-2015 California 95,505 94,349 87,854 ...

  9. New York Natural Gas Gross Withdrawals from Shale Gas (Million...

    Gasoline and Diesel Fuel Update

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 2010's 0 0 0 0 0 0

  10. Oregon Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 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 ...

  11. Utah Natural Gas Gross Withdrawals from Shale Gas (Million Cubic...

    Energy Information Administration (EIA) (indexed site)

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

  12. Natural Gas Gross Withdrawals from Shale Gas Wells

    Annual Energy Outlook

    2007-2016 Arkansas NA NA NA NA NA NA 2007-2016 California NA NA NA NA NA NA 2007-2016 Colorado NA NA NA NA NA NA 2007-2016 Federal Offshore Gulf of Mexico NA NA NA NA NA NA ...

  13. Kentucky Natural Gas Gross Withdrawals from Shale Gas (Million...

    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 0 - No Data Reported; -- Not ...

  14. New Mexico Natural Gas Gross Withdrawals from Shale Gas (Million...

    Gasoline and Diesel Fuel Update

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 54,020 57,462 60,590 2010's 71,867 93,071 127,548 167,961 218,023 287,587

  15. Michigan Natural Gas Gross Withdrawals from Shale Gas (Million...

    Annual Energy Outlook

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 136,367 131,119 125,614 2010's 119,984 113,736 107,822 101,208 95,366 90,509

  16. Colorado Natural Gas Gross Withdrawals from Shale Gas (Million...

    Gasoline and Diesel Fuel Update

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 138,335 164,334 180,310 2010's 195,131 211,488 228,796 247,046 315,469 308,642

  17. Texas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic...

    Gasoline and Diesel Fuel Update

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 1,264,725 1,769,610 2,018,450 2010's 2,302,950 3,066,435 3,662,933 4,017,253 4,428,859 4,683,831

  18. Virginia Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 1,622 1,465 1,622 1,570 1,622 1,570 1,622 1,622 1,570 1,622 1,570 1,622 2008 1,649 1,543 1,649 1,596 1,649 1,596 1,649 ...

  19. Arkansas Natural Gas Gross Withdrawals from Shale Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 7,138 6,448 7,138 6,908 7,138 6,908 7,138 7,138 6,908 7,138 6,908 7,138 2008 22,507 21,055 22,507 21,781 22,507 21,781 ...

  20. Nebraska Natural Gas Gross Withdrawals from Shale Gas (Million...

    Gasoline and Diesel Fuel Update

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 2010's 0 0 0 0 0 0