Sample records for average percent growth

  1. MESOSCALE AVERAGING OF NUCLEATION AND GROWTH MODELS

    E-Print Network [OSTI]

    Burger, Martin

    MESOSCALE AVERAGING OF NUCLEATION AND GROWTH MODELS MARTIN BURGER , VINCENZO CAPASSO , AND LIVIO-Kolmogorov relations for the degree of crystallinity. By relating the computation of expected values to mesoscale averaging, we obtain a suitable description of the process at the mesoscale. We show how the variance

  2. Variable Average Absolute Percent Differences

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE. Great Basin Oil and Gas FieldsLiquids

  3. Expansion and Growth of Structure Observables in a Macroscopic Gravity Averaged Universe

    E-Print Network [OSTI]

    Wijenayake, Tharake

    2015-01-01T23:59:59.000Z

    We investigate the effect of averaging inhomogeneities on expansion and large-scale structure growth observables using the exact and covariant framework of Macroscopic Gravity (MG). It is well-known that applying the Einstein's equations and spatial averaging do not commute and lead to the averaging problem. For the MG formalism applied to the Friedmann-Lemaitre-Robertson-Walker (FLRW) metric, this gives an extra dynamical term encapsulated as an averaging density parameter denoted $\\Omega_A$. An exact isotropic cosmological solution of MG for the flat FLRW metric is already known in the literature, we derive here an anisotropic exact solution. Using the isotropic solution, we compare the expansion history to current data of distances to supernovae, Baryon Acoustic Oscillations, CMB last scattering surface, and Hubble constant measurements, and find $-0.05 \\le \\Omega_A \\le 0.07$ (at the 95% CL). For the flat metric case this reduces to $-0.03 \\le \\Omega_A \\le 0.05$. We also find that the inclusion of this ter...

  4. "Variable","Average Absolute Percent Differences","Percent of Projections Over- Estimated"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home8 Water00Annual

  5. "EIA-914 Production Weighted Response Rates, Percent"

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

    EIA-914 Production Weighted Response Rates, Percent" "Areas",38353,38384,38412,38443,38473,38504,38534,38565,38596,38626,38657,38687,38718,38749,38777,"application...

  6. Federal Government Increases Renewable Energy Use Over 1000 Percent...

    Office of Environmental Management (EM)

    Government Increases Renewable Energy Use Over 1000 Percent since 1999; Exceeds Goal Federal Government Increases Renewable Energy Use Over 1000 Percent since 1999; Exceeds Goal...

  7. have risen by about 15 percent. These increases, which tend to remain in the atmo-

    E-Print Network [OSTI]

    States emitted 25 percent of the total global greenhouse gases. The largest contributors are electricity Warming Trend: How Climate Change Could Affect the Northwest W hile the debate over global warming global temperatures, that the earth is warm- ing. Over the last 100 years, the earth's average

  8. Microstructural Evolution During Laser Resolidification of Fe-25 Atom Percent Ge Alloy

    E-Print Network [OSTI]

    Srivastava, Kumar Vaibhav

    selection is discussed using competitive growth kinetics. I. INTRODUCTION TECHNIQUES of rapidly melting the process of laser resolidification. Third, the inti- mate contact of the surface-melted layerMicrostructural Evolution During Laser Resolidification of Fe-25 Atom Percent Ge Alloy KRISHANU

  9. Ways to Increase Percent Calf Crop in Beef Cattle.

    E-Print Network [OSTI]

    Beverly, John R.

    1973-01-01T23:59:59.000Z

    in young heifers shows a marked increase in breeding efficiency. Work at the University of Arizona on rebreeding first calf heifers supports this data. Arizona work showed 79 percent pregnancy rates in heifers with calves early weaned and 46 percent... mo. mo. mo. mo. mo. mo. mo. mo. Low level Angus 0 0 0 33 82 90100100 Hereford 0 11 22 33 38 50 100 100 Crossbreed 0 0 12 68 85 100 100 100 Setting some arbitrary age at which t heifers is not the solution. The outcome would largely on how...

  10. Percent of Commercial Natural Gas Deliveries in Washington Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) YearPrice (Percent)the

  11. Percent of Commercial Natural Gas Deliveries in West Virginia Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) YearPrice (Percent)theby

  12. Averaging Hypotheses in Newtonian Cosmology

    E-Print Network [OSTI]

    T. Buchert

    1995-12-20T23:59:59.000Z

    Average properties of general inhomogeneous cosmological models are discussed in the Newtonian framework. It is shown under which circumstances the average flow reduces to a member of the standard Friedmann--Lema\\^\\i tre cosmologies. Possible choices of global boundary conditions of inhomogeneous cosmologies as well as consequences for the interpretation of cosmological parameters are put into perspective.

  13. Percent of Commercial Natural Gas Deliveries in Louisiana Represented by

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

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  14. Percent of Commercial Natural Gas Deliveries in Massachusetts Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb Mar

  15. Percent of Commercial Natural Gas Deliveries in Minnesota Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb MarPricethe

  16. Percent of Commercial Natural Gas Deliveries in Mississippi Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb MarPricethethe

  17. Percent of Commercial Natural Gas Deliveries in New Hampshire Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan FebPricePricePriceby

  18. Percent of Commercial Natural Gas Deliveries in North Carolina Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Janthe PricePriceby the

  19. Percent of Commercial Natural Gas Deliveries in Pennsylvania Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year JanthePricethe Price

  20. Percent of Commercial Natural Gas Deliveries in South Carolina Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year JanthePricethe

  1. Percent of Commercial Natural Gas Deliveries in Tennessee Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year JanthePricethethe

  2. Percent of Commercial Natural Gas Deliveries in Wisconsin Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) YearPrice

  3. PERCENT FEDERAL LAND FOR OIL/GAS FIELD OUTLINES

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14 Jan-15LiquidBGOperablePERCENT FEDERAL LAND FOR

  4. Percent of Commercial Natural Gas Deliveries in Louisiana Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb Mar AprPricePrice (Percent)the

  5. Percent of Commercial Natural Gas Deliveries in New Hampshire Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb Marby the Price (Percent)

  6. Percent of Industrial Natural Gas Deliveries in Connecticut Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb MarbyPrice (Percent)the Price

  7. Percent of Industrial Natural Gas Deliveries in Connecticut Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb MarbyPrice (Percent)the

  8. Percent of Industrial Natural Gas Deliveries in Louisiana Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPricePrice (Percent)the Price

  9. Percent of Industrial Natural Gas Deliveries in Louisiana Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPricePrice (Percent)the

  10. Percent of Industrial Natural Gas Deliveries in New Hampshire Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Year Jan Feb Marby

  11. Percent of Industrial Natural Gas Deliveries in New Hampshire Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Year Jan Feb

  12. Percent of Industrial Natural Gas Deliveries in North Carolina Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Year JanthePriceby

  13. Percent of Industrial Natural Gas Deliveries in North Carolina Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Year

  14. Percent of Industrial Natural Gas Deliveries in Pennsylvania Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Pricethe Price

  15. Percent of Industrial Natural Gas Deliveries in Pennsylvania Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Pricethe Pricethe

  16. Percent of Industrial Natural Gas Deliveries in South Carolina Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Pricetheby the Price

  17. Percent of Industrial Natural Gas Deliveries in South Carolina Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Pricetheby the

  18. Percent of Industrial Natural Gas Deliveries in Tennessee Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Pricetheby

  19. Percent of Industrial Natural Gas Deliveries in Tennessee Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Pricethebythe Price

  20. Percent of Industrial Natural Gas Deliveries in Washington Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent) YearPricethe

  1. Percent of Industrial Natural Gas Deliveries in Washington Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent)

  2. Percent of Industrial Natural Gas Deliveries in West Virginia Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent)by the Price

  3. Percent of Industrial Natural Gas Deliveries in West Virginia Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent)by the Priceby

  4. Percent of Industrial Natural Gas Deliveries in Wisconsin Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent)by the

  5. Percent of Industrial Natural Gas Deliveries in Wisconsin Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent)by thethe Price

  6. Table 2. Percent of Households with Vehicles, Selected Survey Years

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan FebDecadeDecade21752 2,616 January 1996 January1996Percent

  7. U.S. Natural Gas % of Total Residential Deliveries (Percent)

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion Cubic Feet) U.S.Developmental WellsYear JanDeliveries (Percent)

  8. Evaluations of average level spacings

    SciTech Connect (OSTI)

    Liou, H.I.

    1980-01-01T23:59:59.000Z

    The average level spacing for highly excited nuclei is a key parameter in cross section formulas based on statistical nuclear models, and also plays an important role in determining many physics quantities. Various methods to evaluate average level spacings are reviewed. Because of the finite experimental resolution, to detect a complete sequence of levels without mixing other parities is extremely difficult, if not totally impossible. Most methods derive the average level spacings by applying a fit, with different degrees of generality, to the truncated Porter-Thomas distribution for reduced neutron widths. A method that tests both distributions of level widths and positions is discussed extensivey with an example of /sup 168/Er data. 19 figures, 2 tables.

  9. We report measurement of the equilibrium plasma current profiles in the Levitated Dipole Experiment (LDX) that exhibit a peak beta in excess of 10 percent. The beta

    E-Print Network [OSTI]

    Experiment (LDX) that exhibit a peak beta in excess of 10 percent. The beta of an LDX plasma is calculated will be discussed along with the conditions that lead to the creation of high beta plasmas. #12;Outline · Magnetic · Average and peak beta Substantial analyses must be performed on the magnetic data to actually obtain

  10. The Frame Potential, on Average

    E-Print Network [OSTI]

    Ingemar Bengtsson; Helena Granstrom

    2008-10-24T23:59:59.000Z

    A SIC consists of N^2 equiangular unit vectors in an N dimensional Hilbert space. The frame potential is a function of N^2 unit vectors. It has a unique global minimum if the vectors form a SIC, and this property has been made use of in numerical searches for SICs. When the vectors form an orbit of the Heisenberg group the frame potential becomes a function of a single fiducial vector. We analytically compute the average of this function over Hilbert space. We also compute averages when the fiducial vector is placed in certain special subspaces defined by the Clifford group.

  11. 4, 22832300, 2004 Hemispheric average

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    ACPD 4, 22832300, 2004 Hemispheric average Cl atom concentration U. Platt et al. Title Page U. Platt1 , W. Allen2 , and D. Lowe2 1 Institut fur Umweltphysik, University of Heidelberg, INF 229 February 2004 Accepted: 9 March 2004 Published: 4 May 2004 Correspondence to: U. Platt (ulrich.platt

  12. Seasonal Average Temperature - Hanford Site

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebook TwitterSearch-Comments Sign In About | CareersAverage Temperature

  13. Near Zero Emissions at 50 Percent Thermal Efficiency

    SciTech Connect (OSTI)

    None

    2012-12-31T23:59:59.000Z

    Detroit Diesel Corporation (DDC) has successfully completed a 10 year DOE sponsored heavy-duty truck engine program, hereafter referred to as the NZ-50 program. This program was split into two major phases. The first phase was called ??Near-Zero Emission at 50 Percent Thermal Efficiency,? and was completed in 2007. The second phase was initiated in 2006, and this phase was named ??Advancements in Engine Combustion Systems to Enable High-Efficiency Clean Combustion for Heavy-Duty Engines.? This phase was completed in September, 2010. The key objectives of the NZ-50 program for this first phase were to: ? Quantify thermal efficiency degradation associated with reduction of engine-out NOx emissions to the 2007 regulated level of ~1.1 g/hp-hr. ? Implement an integrated analytical/experimental development plan for improving subsystem and component capabilities in support of emerging engine technologies for emissions and thermal efficiency goals of the program. ? Test prototype subsystem hardware featuring technology enhancements and demonstrate effective application on a multi-cylinder, production feasible heavy-duty engine test-bed. ? Optimize subsystem components and engine controls (calibration) to demonstrate thermal efficiency that is in compliance with the DOE 2005 Joule milestone, meaning greater than 45% thermal efficiency at 2007 emission levels. ? Develop technology roadmap for meeting emission regulations of 2010 and beyond while mitigating the associated degradation in engine fuel consumption. Ultimately, develop technical prime-path for meeting the overall goal of the NZ-50 program, i.e., 50% thermal efficiency at 2010 regulated emissions. These objectives were successfully met during the course of the NZ-50 program. The most noteworthy achievements in this program are summarized as follows: ? Demonstrated technologies through advanced integrated experiments and analysis to achieve the technical objectives of the NZ-50 program with 50.2% equivalent thermal efficiency under EPA 2010 emissions regulations. ? Experimentally demonstrate brake efficiency of 48.5% at EPA 2010 emission level at single steady-state point. ? Analytically demonstrated additional brake efficiency benefits using advanced aftertreatment configuration concept and air system enhancement including, but not limited to, turbo-compound, variable valve actuator system, and new cylinder head redesign, thus helping to achieve the final program goals. ? Experimentally demonstrated EPA 2010 emissions over FTP cycles using advanced integrated engine and aftertreatment system. These aggressive thermal efficiency and emissions results were achieved by applying a robust systems technology development methodology. It used integrated analytical and experimental tools for subsystem component optimization encompassing advanced fuel injection system, increased EGR cooling capacity, combustion process optimization, and advanced aftertreatment technologies. Model based controls employing multiple input and output techniques enabled efficient integration of the various subsystems and ensured optimal performance of each system within the total engine package. . The key objective of the NZ-50 program for the second phase was to explore advancements in engine combustion systems using high-efficiency clean combustion (HECC) techniques to minimize cylinder-out emissions, targeting a 10% efficiency improvement. The most noteworthy achievements in this phase of the program are summarized as follows: ? Experimentally and analytically evaluated numerous air system improvements related to the turbocharger and variable valve actuation. Some of the items tested proved to be very successful and modifications to the turbine discovered in this program have since been incorporated into production hardware. ? The combustion system development continued with evaluation of various designs of the 2-step piston bowl. Significant improvemen

  14. Over 30{percent} efficient InGaP/GaAs tandem solar cells

    SciTech Connect (OSTI)

    Takamoto, T.; Ikeda, E.; Kurita, H. [Central Research Laboratory, Japan Energy Corporation, 3-17-35 Niizo-Minami, Toda, Saitama 335 (Japan)] [Central Research Laboratory, Japan Energy Corporation, 3-17-35 Niizo-Minami, Toda, Saitama 335 (Japan); Ohmori, M. [Japan Energy Research Center Company, Ltd., 1-11-9 Azabudai, Minato-ku, Tokyo 106 (Japan)] [Japan Energy Research Center Company, Ltd., 1-11-9 Azabudai, Minato-ku, Tokyo 106 (Japan)

    1997-01-01T23:59:59.000Z

    A two-terminal monolithic InGaP/GaAs tandem solar cell with a new efficiency record of 30.28{percent} is realized with a practical large area of 4 cm{sup 2} under one-sun air-mass 1.5 global illumination. We report improvements of the tandem cell performance by introducing a double-hetero (hereafter DH) structure InGaP tunnel junction, in which the InGaP layers are surrounded by high band gap AlInP barriers. The DH structure by AlInP barriers increase the peak current of InGaP tunnel junction. The AlInP barrier directly below the InGaP top cell, which takes the part of a back surface field (hereafter BSF) layer, is found to be considerably effective in reflecting minority carriers in the top cell. The AlInP BSF layer does not only form a high potential barrier but also prevents the diffusion of zinc from a high doped tunnel junction toward the top cell during epitaxial growth. Furthermore, an InGaP tunnel junction reduces the absorption loss, which exists in a GaAs tunnel junction, and increases the photogenerated current in the GaAs bottom cell. {copyright} {ital 1997 American Institute of Physics.}

  15. Robust Growth Determinants

    E-Print Network [OSTI]

    Doppelhofer, Gernot; Weeks, Melvyn

    2011-01-31T23:59:59.000Z

    This paper investigates the robustness of determinants of economic growth in the presence of model uncertainty, parameter heterogeneity and outliers. The robust model averaging approach introduced in the paper uses a flexible and parsimonious...

  16. Comparison of the percent recoveries of activated charcoal and Spherocarb after storage utilizing thermal desorption

    E-Print Network [OSTI]

    Stidham, Paul Emery

    1980-01-01T23:59:59.000Z

    between the two adsorbents. The parameters of storage in- cluded various durations of time, temperatures, and concentrations. Rather than the present conventional solvent desorption methods, thermal desorption was used in the analysis of samples... Duncan's Multiple Range Test For Variable Percent. 32 6 Mean Percent Recoveries For The Interaction Between Type Of Adsorbent And Storage Time . 7 Mean Percent Recoveries For The Interaction Between Sample Concentration And Storage Time. 39 40 8...

  17. China's Pathways to Achieving 40percent 45percent Reduction in CO2 Emissions per Unit of GDP in 2020: Sectoral Outlook and Assessment of Savings Potential

    E-Print Network [OSTI]

    Zheng, Nina

    2013-01-01T23:59:59.000Z

    Generation Growth Demand Side Management Industrial Sectortechnology and demand side management. For electricity

  18. PRESS RELEASES OF SENATOR PETE DOMENICI Domenici Supports 12 Percent Increase for Nuclear Energy, Disputes Fusion

    E-Print Network [OSTI]

    PRESS RELEASES OF SENATOR PETE DOMENICI Domenici Supports 12 Percent Increase for Nuclear Energy his support for a 12 percent increase in federal funding for nuclear energy research, but challenged of modern nuclear power plants. Domenici is chairman of the Energy and Water Development Appropriations

  19. If I generate 20 percent of my national electricity from wind...

    Open Energy Info (EERE)

    generate 20 percent of my national electricity from wind and solar - what does it do to my GDP and Trade Balance ? Home I think that the economics of fossil fuesl are well...

  20. Absolute Percent Error Based Fitness Functions for Evolving Forecast Models AndyNovobilski,Ph.D.

    E-Print Network [OSTI]

    Fernandez, Thomas

    Absolute Percent Error Based Fitness Functions for Evolving Forecast Models Andy computfi~gas a methodof data mining,is its intrinsic ability to drive modelselection accordingto a mixedset of criteria. Basedon natural selection, evolutionary computing utilizes evaluationof candidatesolutions

  1. Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 Percent...

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

    Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 Percent of Total Electricity Production in Texas, April 2011 Impacts of Increasing Natural Gas Fueled CHP from 20 to 35...

  2. Effects of time constraint and percent defective on visual inspection performance

    E-Print Network [OSTI]

    Gilmore, Walter Edgar

    1982-01-01T23:59:59.000Z

    EFFECTS OF TIME CONSTRAINT AND PERCENT DEFECTIVE ON VISUAL INSPECTION PERFORMANCE A Thesis by WALTER EDGAR GILMORE II Submitted to the Graduate College of Texas ABM University in partial fulfillment of the requirement for the degree MASTER... OF SCIENCE August 1982 Major Subject: Industrial Engineering EFFECTS OF TIME CONSTRAINT AND PERCENT DEFECTIVE ON VISUAL INSPECTION PERFORMANCE A Thesis by WALTER EDGAR GILMORE II Approved as to sty1e and content by: Chairman of Committ e) (Memb r...

  3. Optimization Online - Dual Averaging Methods for Regularized ...

    E-Print Network [OSTI]

    Lin Xiao

    2010-04-15T23:59:59.000Z

    Apr 15, 2010 ... ... simple minimization problem that involves the running average of all past subgradients of the loss function and the whole regularization term,...

  4. The growth of luminous red galaxies by merging

    E-Print Network [OSTI]

    Morad Masjedi; David W. Hogg; Michael R. Blanton

    2007-08-23T23:59:59.000Z

    We study the role of major and minor mergers in the mass growth of luminous red galaxies. We present small-scale ($0.01luminous early-type galaxies from the Sloan Digital Sky Survey (SDSS) Luminous Red Galaxy (LRG) sample ($0.16luminous than $\\Lstar$. We integrate the luminosity accretion rate from mergers over all companion galaxy subsamples and find that LRGs are growing by $[1.7\\pm 0.1]$ percent per $\\Gyr$, on average, from merger activity at redshift $z\\sim 0.25$. This rate is almost certainly an over-estimate because we have assumed that all close pairs are merging as quickly as dynamical friction allows; nonetheless it is on the low side of the panoply of measurements in the literature, and lower than any rate predicted from theory.

  5. Bertrand's postulate and subgroup growth

    E-Print Network [OSTI]

    Bou-Rabee, K

    2009-01-01T23:59:59.000Z

    In this article we investigate the L^1-norm of certain functions on groups called divisibility functions. Using these functions, their connection to residual finiteness, and integration theory on profinite groups, we define the residual average of a finitely generated group. One of the main results in this article is the finiteness of residual averages on finitely generated linear groups. Whether or not the residual average is finite depends on growth rates of indices of finite index subgroups. Our results on index growth rates are analogous to results on gaps between primes, and provide a variant of the subgroup growth function, which may be of independent interest.

  6. Averages in vector spaces over finite fields

    E-Print Network [OSTI]

    Wright J.; Carbery A.; Stones B.

    2008-01-01T23:59:59.000Z

    We study the analogues of the problems of averages and maximal averages over a surface in R-n when the euclidean structure is replaced by that of a vector space over a finite field, and obtain optimal results in a number ...

  7. Coal deposit characterization by gamma-gamma density/percent dry ash relationships

    E-Print Network [OSTI]

    Wright, David Scott

    1984-01-01T23:59:59.000Z

    Density/Ash Relationship . APPLICATION OF THE GAMMA-GAMMA DENSITY/PERCENT DRY ASH RELATIONSHIPS The Density/Ash Relationship of a South Texas Lignite Deposit Characterization of a South Texas Lignite Deposit CONCLUSIONS REFERENCES. 52 53 53 53... 58 64 67 6g 80 87 LIST OF TABLES TABLE I Coal Classification by Rank. 2 Common Minerals in Coal. 3 Results of Linear Regression Analyses for a South Texas Lignite Deposit. 4 Variability of Geophysica11y-Derived Percent Dry Ash Values...

  8. Percent of Commercial Natural Gas Deliveries in Vermont Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) YearPrice (Percent) Year

  9. Percent of Commercial Natural Gas Deliveries in Virginia Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) YearPrice (Percent)

  10. Percent of Commercial Natural Gas Deliveries in Wyoming Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) YearPricePrice (Percent)

  11. Table B29. Percent of Floorspace Cooled, Number of Buildings and Floorspace, 199

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWestQuantity of2".9. Percent of

  12. Table B30. Percent of Floorspace Lit When Open, Number of Buildings and Floorspa

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWestQuantity of2".9. Percent of.0.

  13. Percent of Industrial Natural Gas Deliveries in Oregon Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Price (Percent)

  14. Thermal ghost imaging with averaged speckle patterns

    E-Print Network [OSTI]

    Shapiro, Jeffrey H.

    We present theoretical and experimental results showing that a thermal ghost imaging system can produce images of high quality even when it uses detectors so slow that they respond only to intensity-averaged (that is, ...

  15. STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES 2005 TO 2018 Mignon Marks Principal Author Mignon Marks Project Manager David Ashuckian Manager ELECTRICITY ANALYSIS OFFICE Sylvia Bender Acting Deputy Director ELECTRICITY SUPPLY DIVISION B.B. Blevins Executive Director

  16. Selling Geothermal Systems The "Average" Contractor

    E-Print Network [OSTI]

    Selling Geothermal Systems #12;The "Average" Contractor History of sales procedures Manufacturer Driven Procedures What makes geothermal technology any harder to sell? #12;"It's difficult to sell a geothermal system." It should

  17. Distributed Averaging Via Lifted Markov Chains

    E-Print Network [OSTI]

    Jung, Kyomin

    Motivated by applications of distributed linear estimation, distributed control, and distributed optimization, we consider the question of designing linear iterative algorithms for computing the average of numbers in a ...

  18. Self-averaging characteristics of spectral fluctuations

    E-Print Network [OSTI]

    Petr Braun; Fritz Haake

    2014-10-20T23:59:59.000Z

    The spectral form factor as well as the two-point correlator of the density of (quasi-)energy levels of individual quantum dynamics are not self-averaging. Only suitable smoothing turns them into useful characteristics of spectra. We present numerical data for a fully chaotic kicked top, employing two types of smoothing: one involves primitives of the spectral correlator, the second a small imaginary part of the quasi-energy. Self-averaging universal (like the CUE average) behavior is found for the smoothed correlator, apart from noise which shrinks like $1\\over\\sqrt N$ as the dimension $N$ of the quantum Hilbert space grows. There are periodically repeated quasi-energy windows of correlation decay and revival wherein the smoothed correlation remains finite as $N\\to\\infty$ such that the noise is negligible. In between those windows (where the CUE averaged correlator takes on values of the order ${1\\over N^2}$) the noise becomes dominant and self-averaging is lost. We conclude that the noise forbids distinction of CUE and GUE type behavior. Surprisingly, the underlying smoothed generating function does not enjoy any self-averaging outside the range of its variables relevant for determining the two-point correlator (and certain higher-order ones). --- We corroborate our numerical findings for the noise by analytically determining the CUE variance of the smoothed single-matrix correlator.

  19. POLICY STATEMENT ON PERCENT SALARY FOR PRINCIPAL INVESTIGATORS PAID EXCLUSIVELY FROM FEDERAL AWARDS

    E-Print Network [OSTI]

    Tsien, Roger Y.

    POLICY STATEMENT ON PERCENT SALARY FOR PRINCIPAL INVESTIGATORS PAID EXCLUSIVELY FROM FEDERAL AWARDS awards, including federal flow through-funding. This Policy applies to all Principal Investigators whose salary is derived entirely from federal awards. This Policy does not apply to Principal Investigators who

  20. Reliability of Bioelectrical Impedance Analysis for Estimating Whole-Fish Energy Density and Percent Lipids

    E-Print Network [OSTI]

    Reliability of Bioelectrical Impedance Analysis for Estimating Whole-Fish Energy Density impedance analysis (BIA) as a nonlethal means of predicting energy density and percent lipids for three fish. Although models that combined BIA measures with fish wet mass provided strong predictions of total energy

  1. Journal of Crystal Growth ] (

    E-Print Network [OSTI]

    ) at high pressure of CO2 (initial PCO2 55 bar) and moderate to high temperature (30 and 90 1C) was used and the dissolved quantity of CO2 have a significant effect on the average particle size, specific surface areaJournal of Crystal Growth ] (

  2. Polarized electron beams at milliampere average current

    SciTech Connect (OSTI)

    Poelker, Matthew [JLAB

    2013-11-01T23:59:59.000Z

    This contribution describes some of the challenges associated with developing a polarized electron source capable of uninterrupted days-long operation at milliAmpere average beam current with polarization greater than 80%. Challenges will be presented in the context of assessing the required level of extrapolation beyond the performance of today's CEBAF polarized source operating at ~ 200 uA average current. Estimates of performance at higher current will be based on hours-long demonstrations at 1 and 4 mA. Particular attention will be paid to beam-related lifetime-limiting mechanisms, and strategies to construct a photogun that operate reliably at bias voltage > 350kV.

  3. Extracting gluon condensate from the average plaquette

    E-Print Network [OSTI]

    Lee, Taekoon

    2015-01-01T23:59:59.000Z

    The perturbative contribution in the average plaquette is subtracted using Borel summation and the remnant of the plaquette is shown to scale as a dim-4 condensate. A critical review is presented of the renormalon subtraction scheme that claimed a dim-2 condensate. The extracted gluon condensate is compared with the latest result employing high order (35-loop) calculation in the stochastic perturbation theory.

  4. Comparison of analytical methods for percent phosphorus determination in electroless nickel plate

    SciTech Connect (OSTI)

    Owens, W.W.; Sullivan, H.H.

    1982-08-13T23:59:59.000Z

    This report presents the results of the evaluation of five analytical methods for percent phosphorus determination and makes recommendations for the use of common methods to provide accurate and precise results in the field. The analytical methods are: (1) ASTM-E39 gravimetric method; (2) development colorimetric method; (3) independent colorimetric method; (4) UCC-ND alkalimetric method; (5) UCC-ND inductively coupled plasma method. Analysis of the data indicates the concentration of phosphorus in the electroless nickel plate sample to be approximately 12.1%. All of the methods evaluated demonstrated the capability of determining percent phosphorus accurately through the accumulation of a large number of readings. The primary difference among the methods is the precision capabilites of individual tests. 3 figures, 6 tables.

  5. Polarized electron beams at milliampere average current

    SciTech Connect (OSTI)

    Poelker, M. [Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606 (United States)

    2013-11-07T23:59:59.000Z

    This contribution describes some of the challenges associated with developing a polarized electron source capable of uninterrupted days-long operation at milliAmpere average beam current with polarization greater than 80%. Challenges will be presented in the context of assessing the required level of extrapolation beyond the performance of todays CEBAF polarized source operating at ? 200 uA average current. Estimates of performance at higher current will be based on hours-long demonstrations at 1 and 4 mA. Particular attention will be paid to beam-related lifetime-limiting mechanisms, and strategies to construct a photogun that operate reliably at bias voltage > 350kV.

  6. Table 7.1 Average Prices of Purchased Energy Sources, 2002

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011, 2010,Jersey"RhodeVirginia"West Average Prices of

  7. Table 7.1 Average Prices of Purchased Energy Sources, 2010

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011, 2010,Jersey"RhodeVirginia"West Average Prices of

  8. Table 7.2 Average Prices of Purchased Energy Sources, 2002

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011, 2010,Jersey"RhodeVirginia"West Average Prices of002

  9. Table 7.2 Average Prices of Purchased Energy Sources, 2010;

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011, 2010,Jersey"RhodeVirginia"West Average Prices of002

  10. Table 7.3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 20

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011, 2010,Jersey"RhodeVirginia"West Average Prices of0023

  11. Table 7.3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 2010;

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011, 2010,Jersey"RhodeVirginia"West Average Prices

  12. Table 7.4 Average Prices of Selected Purchased Energy Sources, 2002

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011, 2010,Jersey"RhodeVirginia"West Average Prices4

  13. Table 7.4 Average Prices of Selected Purchased Energy Sources, 2010;

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011, 2010,Jersey"RhodeVirginia"West Average Prices44

  14. Table 7.5 Average Prices of Selected Purchased Energy Sources, 2002

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011, 2010,Jersey"RhodeVirginia"West Average Prices445

  15. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011, 2010,Jersey"RhodeVirginia"West AverageMexico"

  16. Economic Growth and Inequality: Drawing the

    E-Print Network [OSTI]

    von der Heydt, Rdiger

    and policies in later sessions #12;Economic Growth and Inequality: The Famous Kuznets Curve #12;Income Inequality #12;The New Kuznets Curve #12;Income Inequality #12;From Income Inequality to Health #12;Percent the Channels) #12;Kuznets Curves for Socially Determined Health Outcomes David Bishai, MD,MPH, PhD Professor

  17. Foreign Fishery Developments Australia Reports Growth in

    E-Print Network [OSTI]

    ." Later studies have also shown both per capita fish and seafood consump- tion and fish prices-76, the last year of the survey. Apparent consumption per person rose another 6 percent in 1976-77 and trendsForeign Fishery Developments Australia Reports Growth in Fish Consumption and Prices Australians

  18. Is dark energy an effect of averaging?

    E-Print Network [OSTI]

    Nan Li; Marina Seikel; Dominik J. Schwarz

    2008-01-22T23:59:59.000Z

    The present standard model of cosmology states that the known particles carry only a tiny fraction of total mass and energy of the Universe. Rather, unknown dark matter and dark energy are the dominant contributions to the cosmic energy budget. We review the logic that leads to the postulated dark energy and present an alternative point of view, in which the puzzle may be solved by properly taking into account the influence of cosmic structures on global observables. We illustrate the effect of averaging on the measurement of the Hubble constant.

  19. Method to produce alumina aerogels having porosities greater than 80 percent

    DOE Patents [OSTI]

    Poco, John F.; Hrubesh, Lawrence W.

    2003-09-16T23:59:59.000Z

    A two-step method for producing monolithic alumina aerogels having porosities of greater than 80 percent. Very strong, very low density alumina aerogel monoliths are prepared using the two-step sol-gel process. The method of preparing pure alumina aerogel modifies the prior known sol method by combining the use of substoichiometric water for hydrolysis, the use of acetic acid to control hydrolysis/condensation, and high temperature supercritical drying, all of which contribute to the formation of a polycrystalline aerogel microstructure. This structure provides exceptional mechanical properties of the alumina aerogel, as well as enhanced thermal resistance and high temperature stability.

  20. Percent of Commercial Natural Gas Deliveries in Florida Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21YearThousandthePrice (Percent)

  1. Percent of Commercial Natural Gas Deliveries in Indiana Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb Mar Apr May Jun

  2. Percent of Commercial Natural Gas Deliveries in Iowa Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb Mar Apr May

  3. Percent of Commercial Natural Gas Deliveries in Kansas Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb Mar Apr MayPrice

  4. Percent of Commercial Natural Gas Deliveries in Kentucky Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb Mar Apr

  5. Percent of Commercial Natural Gas Deliveries in Maine Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb Mar Aprthe

  6. Percent of Commercial Natural Gas Deliveries in Maryland Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb Mar AprthePrice

  7. Percent of Commercial Natural Gas Deliveries in Michigan Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb MarPrice

  8. Percent of Commercial Natural Gas Deliveries in Missouri Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb

  9. Percent of Commercial Natural Gas Deliveries in Montana Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan FebPrice

  10. Percent of Commercial Natural Gas Deliveries in Nebraska Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan FebPricePrice

  11. Percent of Commercial Natural Gas Deliveries in Nevada Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan FebPricePricePrice

  12. Percent of Commercial Natural Gas Deliveries in New Jersey Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan

  13. Percent of Commercial Natural Gas Deliveries in New Mexico Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Janthe Price

  14. Percent of Commercial Natural Gas Deliveries in New York Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Janthe PricePrice

  15. Percent of Commercial Natural Gas Deliveries in North Dakota Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Janthe PricePriceby

  16. Percent of Commercial Natural Gas Deliveries in Ohio Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Janthe PricePricebyPrice

  17. Percent of Commercial Natural Gas Deliveries in Oklahoma Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Janthe

  18. Percent of Commercial Natural Gas Deliveries in Oregon Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year JanthePrice

  19. Percent of Commercial Natural Gas Deliveries in Rhode Island Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year JanthePricethe Pricethe

  20. Percent of Commercial Natural Gas Deliveries in South Dakota Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year JanthePricethethe Price

  1. Percent of Commercial Natural Gas Deliveries in Texas Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year JanthePricethethePrice

  2. Percent of Commercial Natural Gas Deliveries in Utah Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year

  3. Table B28. Percent of Floorspace Heated, Number of Buildings and Floorspace, 199

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWestQuantity of2".

  4. Percent of Commercial Natural Gas Deliveries in Illinois Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb Mar AprPrice (Percent) Decade

  5. Percent of Commercial Natural Gas Deliveries in Indiana Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb Mar AprPrice (Percent)

  6. Percent of Commercial Natural Gas Deliveries in Iowa Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb Mar AprPrice (Percent)Price

  7. Percent of Commercial Natural Gas Deliveries in Kentucky Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb Mar AprPricePrice (Percent)

  8. Percent of Commercial Natural Gas Deliveries in New Jersey Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb Marby the Price (Percent)the

  9. Percent of Commercial Natural Gas Deliveries in New York Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb Marby the PricePrice (Percent)

  10. Percent of Commercial Natural Gas Deliveries in South Dakota Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb Marby thethe Price (Percent)

  11. Percent of Industrial Natural Gas Deliveries in Arizona Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb Marby thethethePrice (Percent)

  12. Percent of Industrial Natural Gas Deliveries in Colorado Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb MarbyPrice (Percent) Decade

  13. Percent of Industrial Natural Gas Deliveries in Colorado Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb MarbyPrice (Percent)

  14. Percent of Industrial Natural Gas Deliveries in Delaware Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb MarbyPrice (Percent)thePrice

  15. Percent of Industrial Natural Gas Deliveries in Illinois Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPrice (Percent) Decade Year-0

  16. Percent of Industrial Natural Gas Deliveries in Illinois Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPrice (Percent) Decade

  17. Percent of Industrial Natural Gas Deliveries in Indiana Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPrice (Percent) DecadePrice

  18. Percent of Industrial Natural Gas Deliveries in Indiana Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPrice (Percent)

  19. Percent of Industrial Natural Gas Deliveries in Iowa Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPrice (Percent)Price

  20. Percent of Industrial Natural Gas Deliveries in Iowa Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPrice (Percent)PricePrice

  1. Percent of Industrial Natural Gas Deliveries in Kansas Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPrice (Percent)PricePricePrice

  2. Percent of Industrial Natural Gas Deliveries in Kentucky Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPricePrice (Percent) Decade

  3. Percent of Industrial Natural Gas Deliveries in Kentucky Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPricePrice (Percent)

  4. Percent of Industrial Natural Gas Deliveries in Maine Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPricePrice (Percent)thePrice

  5. Percent of Industrial Natural Gas Deliveries in Maryland Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPricePricePrice (Percent)

  6. Percent of Industrial Natural Gas Deliveries in Maryland Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPricePricePrice (Percent)Price

  7. Percent of Industrial Natural Gas Deliveries in Nevada Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Year Jan Feb Mar

  8. Percent of Industrial Natural Gas Deliveries in New Jersey Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Year Jan Febthe

  9. Percent of Industrial Natural Gas Deliveries in New Jersey Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Year Jan Febthethe

  10. Percent of Industrial Natural Gas Deliveries in New Mexico Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Year Jan

  11. Percent of Industrial Natural Gas Deliveries in New Mexico Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Year Janthe Price

  12. Percent of Industrial Natural Gas Deliveries in New York Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Year Janthe

  13. Percent of Industrial Natural Gas Deliveries in New York Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Year JanthePrice

  14. Percent of Industrial Natural Gas Deliveries in North Dakota Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Yearthe Price

  15. Percent of Industrial Natural Gas Deliveries in North Dakota Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Yearthe Pricethe

  16. Percent of Industrial Natural Gas Deliveries in Ohio Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Yearthe

  17. Percent of Industrial Natural Gas Deliveries in Ohio Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) YearthePrice

  18. Percent of Industrial Natural Gas Deliveries in Oklahoma Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) YearthePricePrice

  19. Percent of Industrial Natural Gas Deliveries in Oklahoma Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)

  20. Percent of Industrial Natural Gas Deliveries in Oregon Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Price

  1. Percent of Industrial Natural Gas Deliveries in Rhode Island Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Pricethe Pricethethe

  2. Percent of Industrial Natural Gas Deliveries in Rhode Island Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Pricethe

  3. Percent of Industrial Natural Gas Deliveries in South Dakota Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Pricetheby thethe

  4. Percent of Industrial Natural Gas Deliveries in South Dakota Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Pricetheby thethethe

  5. Percent of Industrial Natural Gas Deliveries in Texas Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Pricethebythe

  6. Percent of Industrial Natural Gas Deliveries in Texas Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)PricethebythePrice

  7. Percent of Industrial Natural Gas Deliveries in Utah Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent) Year Jan Feb

  8. Percent of Industrial Natural Gas Deliveries in Vermont Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent) Year Jan

  9. Percent of Industrial Natural Gas Deliveries in Vermont Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent) Year JanPrice

  10. Percent of Industrial Natural Gas Deliveries in Virginia Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent) Year

  11. Percent of Industrial Natural Gas Deliveries in Virginia Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent) YearPrice

  12. Percent of Industrial Natural Gas Deliveries in Wyoming Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent)by thethe

  13. Percent of Industrial Natural Gas Deliveries in Wyoming Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent)by thethePrice

  14. U.S. Parking Facilities Cut Energy Use by 90 Percent, Switch 270 Million

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMayDepartmentTestFeedEnergy Navy Moanalua TerracePercent | Department

  15. Fact #870: April 27, 2015 Corporate Average Fuel Economy Progress...

    Office of Environmental Management (EM)

    Fact 870: April 27, 2015 Corporate Average Fuel Economy Progress, 1978-2014 Fact 870: April 27, 2015 Corporate Average Fuel Economy Progress, 1978-2014 The Corporate Average Fuel...

  16. Average transverse momentum quantities approaching the lightfront

    E-Print Network [OSTI]

    Daniel Boer

    2014-09-29T23:59:59.000Z

    In this contribution to Light Cone 2014, three average transverse momentum quantities are discussed: the Sivers shift, the dijet imbalance, and the $p_T$ broadening. The definitions of these quantities involve integrals over all transverse momenta that are overly sensitive to the region of large transverse momenta, which conveys little information about the transverse momentum distributions of quarks and gluons inside hadrons. TMD factorization naturally suggests alternative definitions of such integrated quantities, using Bessel-weighting and rapidity cut-offs, with the conventional definitions as limiting cases. The regularized quantities are given in terms of integrals over the TMDs of interest that are well-defined and moreover have the advantage of being amenable to lattice evaluations.

  17. Fact #693: September 19, 2011 Average Vehicle Footprint for Cars...

    Energy Savers [EERE]

    and the average track width of the vehicle. The upcoming Corporate Average Fuel Economy (CAFE) Standards have fuel economy targets based on the vehicle footprint. The...

  18. average atom model: Topics by E-print Network

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

    (chemical potential, average ionic charge, free electron density, bound and continuum wave-functions and occupation numbers) are obtained from the average-atom model. The...

  19. APPENDIX A: MONTHLY AVERAGED DATA In many instances monthly averaged data are

    E-Print Network [OSTI]

    Oregon, University of

    for solar energy and climatic applications. Click on the buttons on the left to find out more about the lab for preliminary estimates of solar system performance. This section provides a summary of monthly averaged data for all sites in watt hours/meter2 per hour or day. For each site and each solar measurement the data

  20. An estimated one of every six households (16.2 percent) in Texas lives in poverty. Research has

    E-Print Network [OSTI]

    Relevance An estimated one of every six households (16.2 percent) in Texas lives in poverty. Research has shown that individuals who live in poverty have dietary intakes that are not in agreement

  1. Analysis of farm-to-retail price spreads for whole and two percent milk in seven selected cities

    E-Print Network [OSTI]

    Dickerson, Marla Lashea

    2004-09-30T23:59:59.000Z

    of transmission for whole milk was from 0.37 (Hartford) to 2.54 (Dallas) and from 0.39 (Hartford) to 3.66 (Dallas) for two percent milk....

  2. Extraction of Plutonium into 30 Percent Tri-Butyl Phosphate from Nitric Acid Solution Containing Fluoride, Aluminum, and Boron

    SciTech Connect (OSTI)

    Kyser, E.A.

    2000-01-06T23:59:59.000Z

    This work consists of experimental batch extraction data for plutonium into 30 volume-percent tri-butyl phosphate at ambient temperature from such a solution matrix and a model of this data using complexation constants from the literature.

  3. A correlation of water solubility in jet fuels with API gravity: aniline point percent aromatics, and temperature.

    E-Print Network [OSTI]

    Byington, Alonzo

    1964-01-01T23:59:59.000Z

    A CORRELATION OF WATER SOLUBILITY IN JET FUELS WITH API GRAVITY, ANILINE POINT PERCENT AROMATICS, AND TEMPERATURE A Thesis By ALONZO B YINGTON Submitted to the Graduate College of Texas A&M University in partial fulfillment... of the requirements for the degree of MASTER OF SCIENCE January, 1964 Major Subject: Petroleum Engineering A CORRELATION OF MATER SOLUBILITT IH JET FUELS WITS API GEAVITT, ANILINE POINT, PERCENT ARONATICS, AND TENPERATURE A Thesis By ALOHZO BYIHGTOH Approved...

  4. Fact #624: May 24, 2010 Corporate Average Fuel Economy Standards...

    Energy Savers [EERE]

    4: May 24, 2010 Corporate Average Fuel Economy Standards, Model Years 2012-2016 Fact 624: May 24, 2010 Corporate Average Fuel Economy Standards, Model Years 2012-2016 The final...

  5. Fact #870: April 27, 2015 Corporate Average Fuel Economy Progress...

    Energy Savers [EERE]

    70: April 27, 2015 Corporate Average Fuel Economy Progress, 1978-2014 - Dataset Fact 870: April 27, 2015 Corporate Average Fuel Economy Progress, 1978-2014 - Dataset Excel file...

  6. Fact #849: December 1, 2014 Midsize Hybrid Cars Averaged 51%...

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

    For the 2014 model year, midsize hybrid cars averaged 43.4 miles per gallon (mpg) while midsize non-hybrid cars averaged 28.7 mpg; the difference between the two has narrowed due...

  7. Non normal Perturbation Growth of Pure Thermohaline Circulation using a 2D Zonally Averaged Model

    E-Print Network [OSTI]

    Monahan, Adam Hugh

    in the intensity of the THC are likely to change the climate significantly. The main time scales indicate that large amplitude changes have occurred on millenial timescales, #12;with transitions) that future changes of the climate system may exhibit similar nonlinear behavior (Meehl et al., 2007

  8. Lemniscate growth

    E-Print Network [OSTI]

    2012-05-08T23:59:59.000Z

    May 8, 2012 ... [8], (mem)Brane theory [3], elliptic growth [11], and non-Newtonian Hele-Shaw flows [5]. ...... a loose connection to non-Newtonian fluids.

  9. average power femtosecond: Topics by E-print Network

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

    Stirling refrigerator1 that abrupt changes in geometry are ubiquitous in Stirling engines, thermoacoustics, and res- piratory flows Smith, Barton L. 52 On the Peak-to-Average...

  10. average power ratio: Topics by E-print Network

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

    Stirling refrigerator1 that abrupt changes in geometry are ubiquitous in Stirling engines, thermoacoustics, and res- piratory flows Smith, Barton L. 60 High average power,...

  11. average power semiconductor: Topics by E-print Network

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

    Stirling refrigerator1 that abrupt changes in geometry are ubiquitous in Stirling engines, thermoacoustics, and res- piratory flows Smith, Barton L. 56 High average power,...

  12. average resonance neutron: Topics by E-print Network

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

    Nader Haghighipour 1999-02-03 4 Average over energy effect of parity nonconservation in neutron scattering on heavy nuclei Nuclear Theory (arXiv) Summary: Using semiclassical...

  13. LOW-HIGH VALUES FOR PETROLEUM AVERAGE INVENTORY RANGES (MILLION...

    Gasoline and Diesel Fuel Update (EIA)

    ENERGY INFORMATION ADMINISTRATION LOW-HIGH VALUES FOR PETROLEUM AVERAGE INVENTORY RANGES (MILLION BARRELS) FILE UPDATED April 2004 Line Month Low High Number Product Name Geography...

  14. average daily traffic: Topics by E-print Network

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

    Next Page Last Page Topic Index 1 April 2014 Annual Average DailyTraffic (AADT) is a key input in operations and transportation planning Environmental Sciences and Ecology...

  15. average wind shear: Topics by E-print Network

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

    by uncompensated voids. Maria Mattsson; Teppo Mattsson 2010-07-17 7 Probabilistic Wind Speed Forecasting using Ensembles and Bayesian Model Averaging Mathematics Websites Summary:...

  16. average state iq: Topics by E-print Network

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

    6 STATE OF CALIFORNIA AREA WEIGHTED AVERAGE CALCULATION WORKSHEET: RESIDENTIAL Energy Storage, Conversion and Utilization Websites Summary: STATE OF CALIFORNIA AREA...

  17. average high energy: Topics by E-print Network

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

    averaged null (ANEC) energy conditions, and quantum inequality restrictions on negative energy for free massless scalar fields. In a two-dimensional compactified Minkowski...

  18. average kinetic energy: Topics by E-print Network

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

    energy by kinetic averaging Pierre-Emmanuel Jabin Ecole Normale Sup-Landau energy for two dimensional divergence free fields ap- pearing in the gradient theory of...

  19. average beta energy: Topics by E-print Network

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

    averaged null (ANEC) energy conditions, and quantum inequality restrictions on negative energy for free massless scalar fields. In a two-dimensional compactified Minkowski...

  20. average power high: Topics by E-print Network

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

    Simultaneous Power Fluctuation and Average Power Minimization during Nano-CMOS Behavioral Synthesis Computer Technologies and Information Sciences Websites Summary: conversion 6....

  1. Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions,

  2. On average sampling restoration of Piranashvilitype harmonizable processes

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    ; time shifted sam- pling; Piranashvili, Lo`eve, Karhunen harmonizable stochastic process; weakly.olenko@latrobe.edu.au, poganj@pfri.hr Abstract: The harmonizable Piranashvili type stochastic pro- cesses are approximated stationary stochastic process; local averages; average sampling reconstruction. 1. Introduction

  3. averaged energy minimization: Topics by E-print Network

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

    averaged energy minimization First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Averaged Energy...

  4. THE AVERAGED CONTROL SYSTEM OF FAST OSCILLATING CONTROL SYSTEMS

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    , control systems, small control, optimal control, Finsler geometry. AMS subject classifications. 34C29, 34H used for design. The use of averaging in optimal control of oscillating systems [10, 13, 14, 7THE AVERAGED CONTROL SYSTEM OF FAST OSCILLATING CONTROL SYSTEMS ALEX BOMBRUN AND JEAN

  5. Distributed Average Consensus in Sensor Networks with Random Link Failures

    E-Print Network [OSTI]

    Moura, Jos

    Distributed Average Consensus in Sensor Networks with Random Link Failures Soummya Kar Department: soummyakgandrew.cmu.edu Abstract We study the impact of the topology of a sensor network on distributed average in terms of a moment of the distribution of the norm of a function of the network graph Laplacian matrix L

  6. The global warming signal is the average of

    E-Print Network [OSTI]

    Jones, Peter JS

    , uncertainty in the isopycnal diffusivity causes uncertainty of up to 50% in the global warming signalThe global warming signal is the average of years 70-80 in the increasing CO2 run minus the average represent significant uncertainty in the global warming signal (Fig. 5). The differences at high latitudes

  7. average glandular dose: Topics by E-print Network

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

    doses and cancer rates to the workers m the first Soviet atom-bomb facility, near 2 Chelyabinsk and 4,600 at the plutonium sep- aration plant. If we allow for an average work...

  8. INDIVIDUAL REFORM ELEMENTS .63Average course exam score

    E-Print Network [OSTI]

    Colorado at Boulder, University of

    INDIVIDUAL REFORM ELEMENTS .63Average course exam score .11In class clicker score .02Lecture: Correlations with effort/curricular elements are positive but not high, indicating no individual course reform

  9. areally averaged heat: Topics by E-print Network

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

    Chulwoo Jung; Christoph Lehner 2014-02-18 56 The Fallacy of Averages University of Kansas - KU ScholarWorks Summary: of component variables as well, we found that ignoring...

  10. STATE OF CALIFORNIA AREA WEIGHTED AVERAGE CALCULATION WORKSHEET: RESIDENTIAL

    E-Print Network [OSTI]

    of a building feature, material, or construction assembly occur in a building, a weighted average there is more than one level of floor, wall, or ceiling insulation in a building, or more than one type

  11. Does anyone have access to 2012 average residential rates by...

    Open Energy Info (EERE)

    Does anyone have access to 2012 average residential rates by utility company? I'm seeing an inconsistency between the OpenEI website and EIA 861 data set. Home > Groups > Utility...

  12. From average case complexity to improper learning [Extended Abstract

    E-Print Network [OSTI]

    Linial, Nathan "Nati"

    is that the standard reduc- tions from NP-hard problems do not seem to apply in this context. There is essentially only.1145/2591796.2591820. Keywords Hardness of improper learning, DNFs, Halfspaces, Average Case complexity, CSP problems, Resolution

  13. average neutronic properties: Topics by E-print Network

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

    M. H. van Kerkwijk 2004-03-20 2 Average over energy effect of parity nonconservation in neutron scattering on heavy nuclei Nuclear Theory (arXiv) Summary: Using semiclassical...

  14. average power optical: Topics by E-print Network

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

    systems, Multiple Subcarrier Strohmer, Thomas 3 June 1, 2000 Vol. 25, No. 11 OPTICS LETTERS 859 16.2-W average power from a diode-pumped Materials Science Websites...

  15. Fact #835: August 25, 2014 Average Annual Gasoline Pump Price...

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

    35: Average Annual Gasoline Pump Price, 1929-2013 fotw835web.xlsx More Documents & Publications Offshore Wind Market and Economic Analysis Report 2013 Response to several FOIA...

  16. THE UNIVERSITY OF RHODE ISLAND FRINGE BENEFIT AVERAGE RATE

    E-Print Network [OSTI]

    Rhode Island, University of

    THE UNIVERSITY OF RHODE ISLAND FRINGE BENEFIT AVERAGE RATE FY 2015 Allocation Cost or Classified.2% URI Budget & Financial Planning Office 9.17.14 Office:fringebenefits:office of sponsored projects: FY2015 Allocation #12;

  17. On the Choice of Average Solar Zenith Angle

    E-Print Network [OSTI]

    Cronin, Timothy W.

    Idealized climate modeling studies often choose to neglect spatiotemporal variations in solar radiation, but doing so comes with an important decision about how to average solar radiation in space and time. Since both ...

  18. average neck flexion: Topics by E-print Network

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

    profiles including the singular isothermal sphere, the Navarro-Frenk-White... Retana-Montenegro, E; Baes, M 2012-01-01 13 Fast Averaging MIT - DSpace Summary: We are interested in...

  19. averaged cross sections: Topics by E-print Network

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

    14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Relations between fusion cross sections and average angular momenta Nuclear Theory (arXiv) Summary: We study...

  20. averaged cross section: Topics by E-print Network

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

    14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Relations between fusion cross sections and average angular momenta Nuclear Theory (arXiv) Summary: We study...

  1. average cross sections: Topics by E-print Network

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

    14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Relations between fusion cross sections and average angular momenta Nuclear Theory (arXiv) Summary: We study...

  2. average effective dose: Topics by E-print Network

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

    field theory, Chern-Simons theory is discussed in detail. M. Reuter 1996-02-04 2 Is dark energy an effect of averaging? CERN Preprints Summary: The present standard model of...

  3. Flavor Physics Data from the Heavy Flavor Averaging Group (HFAG)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Heavy Flavor Averaging Group (HFAG) was established at the May 2002 Flavor Physics and CP Violation Conference in Philadelphia, and continues the LEP Heavy Flavor Steering Group's tradition of providing regular updates to the world averages of heavy flavor quantities. Data are provided by six subgroups that each focus on a different set of heavy flavor measurements: B lifetimes and oscillation parameters, Semi-leptonic B decays, Rare B decays, Unitarity triangle parameters, B decays to charm final states, and Charm Physics.

  4. Table A44. Average Prices of Purchased Electricity and Steam

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWestQuantity of2" "

  5. Partial Averaging Near a Resonance in Planetary Dynamics

    E-Print Network [OSTI]

    Nader Haghighipour

    1999-02-03T23:59:59.000Z

    Following the general numerical analysis of Melita and Woolfson (1996), I showed in a recent paper that a restricted, planar, circular planetary system consisting of Sun, Jupiter and Saturn would be captured in a near (2:1) resonance when one would allow for frictional dissipation due to interplanetary medium (Haghighipour, 1998). In order to analytically explain this resonance phenomenon, the method of partial averaging near a resonance was utilized and the dynamics of the first-order partially averaged system at resonance was studied. Although in this manner, the finding that resonance lock occurs for all initial relative positions of Jupiter and Saturn was confirmed, the first-order partially averaged system at resonance did not provide a complete picture of the evolutionary dynamics of the system and the similarity between the dynamical behavior of the averaged system and the main planetary system held only for short time intervals. To overcome these limitations, the method of partial averaging near a resonance is extended to the second order of perturbation in this paper and a complete picture of dynamical behavior of the system at resonance is presented. I show in this study that the dynamics of the second-order partially averaged system at resonance resembles the dynamical evolution of the main system during the resonance lock in general, and I present analytical explanations for the evolution of the orbital elements of the main system while captured in resonance.

  6. Average Soil Water Retention Curves Measured by Neutron Radiography

    SciTech Connect (OSTI)

    Cheng, Chu-Lin [ORNL; Perfect, Edmund [University of Tennessee, Knoxville (UTK); Kang, Misun [ORNL; Voisin, Sophie [ORNL; Bilheux, Hassina Z [ORNL; Horita, Juske [Texas Tech University (TTU); Hussey, Dan [NIST Center for Neutron Research (NCRN), Gaithersburg, MD

    2011-01-01T23:59:59.000Z

    Water retention curves are essential for understanding the hydrologic behavior of partially-saturated porous media and modeling flow transport processes within the vadose zone. In this paper we report direct measurements of the main drying and wetting branches of the average water retention function obtained using 2-dimensional neutron radiography. Flint sand columns were saturated with water and then drained under quasi-equilibrium conditions using a hanging water column setup. Digital images (2048 x 2048 pixels) of the transmitted flux of neutrons were acquired at each imposed matric potential (~10-15 matric potential values per experiment) at the NCNR BT-2 neutron imaging beam line. Volumetric water contents were calculated on a pixel by pixel basis using Beer-Lambert s law after taking into account beam hardening and geometric corrections. To remove scattering effects at high water contents the volumetric water contents were normalized (to give relative saturations) by dividing the drying and wetting sequences of images by the images obtained at saturation and satiation, respectively. The resulting pixel values were then averaged and combined with information on the imposed basal matric potentials to give average water retention curves. The average relative saturations obtained by neutron radiography showed an approximate one-to-one relationship with the average values measured volumetrically using the hanging water column setup. There were no significant differences (at p < 0.05) between the parameters of the van Genuchten equation fitted to the average neutron radiography data and those estimated from replicated hanging water column data. Our results indicate that neutron imaging is a very effective tool for quantifying the average water retention curve.

  7. U.S. Energy Information Administration (EIA) - Source

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    increases to 54.6 gigawatts in 2035, with annual growth averaging 18.1 percent, and wind capacity grows to 11.0 gigawatts in 2035, averaging 15.9 percent per year. The ITCs...

  8. Report Title: Oil and Gas Production and Economic Growth In New Mexico Type of Report: Technical Report

    E-Print Network [OSTI]

    Johnson, Eric E.

    Report Title: Oil and Gas Production and Economic Growth In New Mexico Type of Report: Technical agency thereof. #12;Page | ii Oil and Gas Production and Economic Growth in New Mexico James Peach and C Mexico's marketed value of oil and gas was $19.2 billion (24.0 percent of state GDP). This paper

  9. Short Communication Growth of charged micelles

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    nonlinearities suggests that Coulomb interactions result in an additional contribution to the free energy of an end-cap that modifies the growth law for the average micelle size. In some cases, the micelle size varies approximately as 03A6(1/2)(1+039B),where 039B > 0 depends on the renormalized coulomb charge

  10. averaged lorentz dynamics: Topics by E-print Network

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

    averaged lorentz dynamics First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Dynamics on Lorentz manifolds...

  11. average energy losses: Topics by E-print Network

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

    average energy losses First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Comparing energy loss...

  12. HIGH AVERAGE POWER UV FREE ELECTRON LASER EXPERIMENTS AT JLAB

    SciTech Connect (OSTI)

    Douglas, David; Evtushenko, Pavel; Gubeli, Joseph; Hernandez-Garcia, Carlos; Legg, Robert; Neil, George; Powers, Thomas; Shinn, Michelle D; Tennant, Christopher

    2012-07-01T23:59:59.000Z

    Having produced 14 kW of average power at {approx}2 microns, JLAB has shifted its focus to the ultraviolet portion of the spectrum. This presentation will describe the JLab UV Demo FEL, present specifics of its driver ERL, and discuss the latest experimental results from FEL experiments and machine operations.

  13. Probabilistic Wind Speed Forecasting Using Ensembles and Bayesian Model Averaging

    E-Print Network [OSTI]

    Raftery, Adrian

    the chance of winds high enough to pose dangers for boats or aircraft. In situations calling for a cost/loss analysis, the probabilities of different outcomes need to be known. For wind speed, this issue often arisesProbabilistic Wind Speed Forecasting Using Ensembles and Bayesian Model Averaging J. Mc

  14. The Scientist : Surpassing the Law of Averages The Scientist

    E-Print Network [OSTI]

    Heller, Eric

    /8/2009 7:02:24 PM] #12;The Scientist : Surpassing the Law of Averages "Single-cell genomics appears to be the most straightforward, and at the moment the only way we can assemble the genomes of the uncultured and pushing technological limitations to bring their studies of genomics, genetics, RNA transcription

  15. Optimal Control with Weighted Average Costs and Temporal Logic Specifications

    E-Print Network [OSTI]

    Murray, Richard M.

    Optimal Control with Weighted Average Costs and Temporal Logic Specifications Eric M. Wolff Control and Dynamical Systems California Institute of Technology Pasadena, California 91125 Email: ewolff@caltech.edu Ufuk Topcu Control and Dynamical Systems California Institute of Technology Pasadena, California 91125

  16. Navy Estimated Average Hourly Load Profile by Month (in MW)

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

    Navy Estimated Average Hourly Load Profile by Month (in MW) MONTH HE1 HE2 HE3 HE4 HE5 HE6 HE7 HE8 HE9 HE10 HE11 HE12 HE13 HE14 HE15 HE16 HE17 HE18 HE19 HE20 HE21 HE22 HE23 HE24...

  17. Paleosecular variation and the average geomagnetic field at 20 latitude

    E-Print Network [OSTI]

    Johnson, Catherine Louise

    -averaged field (TAF) for a two-parameter longitudinally symmetric (zonal) model. Values for our model parameters rocks, and oceanic sediments, but consistent with that from reversed polarity continental and igneous to paleosecular variation (PSV). We examine PSV at 20 using virtual geomagnetic pole (VGP) dispersion

  18. Probabilistic Quantitative Precipitation Forecasting Using Bayesian Model Averaging

    E-Print Network [OSTI]

    Washington at Seattle, University of

    February 24, 2006 1J. McLean Sloughter is Graduate Research Assistant, Adrian E. Raftery is BlumsteinProbabilistic Quantitative Precipitation Forecasting Using Bayesian Model Averaging J. McLean Sloughter, Adrian E. Raftery and Tilmann Gneiting 1 Department of Statistics, University of Washington

  19. Probabilistic Wind Vector Forecasting Using Ensembles and Bayesian Model Averaging

    E-Print Network [OSTI]

    Raftery, Adrian

    : J. McLean Sloughter, Department of Mathematics, Seattle University, 901 12th Ave., P.O. Box 222000Probabilistic Wind Vector Forecasting Using Ensembles and Bayesian Model Averaging J. MCLEAN SLOUGHTER Seattle University, Seattle, Washington TILMANN GNEITING Heidelberg University, Heidelberg

  20. average specific absorption: Topics by E-print Network

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

    average specific absorption First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Original Research Specific...

  1. Better than Average? - Green Building Certification in International Projects

    E-Print Network [OSTI]

    Baumann, O.

    2008-01-01T23:59:59.000Z

    . An Enterprise of the Ebert-Consulting Group 1004 Pennsylvania Avenue, SE Washington, D.C. 20003, USA 00 12 02/ 6 08 - 13 34 o.baumann@eb-engineers.com Better than Average? - Green Building Certification in International Projects Green Building..., green building rating systems focus on sustainability for the entire life-cycle of buildings and therefore offer great opportunities for enhancing building operation, when applied and used appropriately. This presentation gives an overview...

  2. Averaging cross section data so we can fit it

    SciTech Connect (OSTI)

    Brown, D. [Brookhaven National Lab. (BNL), Upton, NY (United States). NNDC

    2014-10-23T23:59:59.000Z

    The 56Fe cross section we are interested in have a lot of fluctuations. We would like to fit the average of the cross section with cross sections calculated within EMPIRE. EMPIRE is a Hauser-Feshbach theory based nuclear reaction code, requires cross sections to be smoothed using a Lorentzian profile. The plan is to fit EMPIRE to these cross sections in the fast region (say above 500 keV).

  3. Estimate of average freeze-out volume in multifragmentation events

    E-Print Network [OSTI]

    Piantelli, S; Borderie, B; Bougault, R; Chbihi, A; Dayras, R; Durand, D; Frankland, J D; Galchet, E; Guinet, D; Lanzalone, G; Lautesse, P; Le Neindre, N; Lpez, O; Prlog, M; Rivet, M F; Rosato, E; Tamain, B; Vient, E; Vigilante, M; Volant, C; Wieleczko, J P

    2005-01-01T23:59:59.000Z

    An estimate of the average freeze-out volume for multifragmentation events is presented. Values of volumes are obtained by means of a simulation using the experimental charged product partitions measured by the 4pi multidetector INDRA for 129Xe central collisions on Sn at 32 AMeV incident energy. The input parameters of the simulation are tuned by means of the comparison between the experimental and simulated velocity (or energy) spectra of particles and fragments.

  4. Medium term municipal solid waste generation prediction by autoregressive integrated moving average

    SciTech Connect (OSTI)

    Younes, Mohammad K.; Nopiah, Z. M.; Basri, Noor Ezlin A.; Basri, Hassan [Department of Civil and Structural Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor (Malaysia)

    2014-09-12T23:59:59.000Z

    Generally, solid waste handling and management are performed by municipality or local authority. In most of developing countries, local authorities suffer from serious solid waste management (SWM) problems and insufficient data and strategic planning. Thus it is important to develop robust solid waste generation forecasting model. It helps to proper manage the generated solid waste and to develop future plan based on relatively accurate figures. In Malaysia, solid waste generation rate increases rapidly due to the population growth and new consumption trends that characterize the modern life style. This paper aims to develop monthly solid waste forecasting model using Autoregressive Integrated Moving Average (ARIMA), such model is applicable even though there is lack of data and will help the municipality properly establish the annual service plan. The results show that ARIMA (6,1,0) model predicts monthly municipal solid waste generation with root mean square error equals to 0.0952 and the model forecast residuals are within accepted 95% confident interval.

  5. High Average Power, High Energy Short Pulse Fiber Laser System

    SciTech Connect (OSTI)

    Messerly, M J

    2007-11-13T23:59:59.000Z

    Recently continuous wave fiber laser systems with output powers in excess of 500W with good beam quality have been demonstrated [1]. High energy, ultrafast, chirped pulsed fiber laser systems have achieved record output energies of 1mJ [2]. However, these high-energy systems have not been scaled beyond a few watts of average output power. Fiber laser systems are attractive for many applications because they offer the promise of high efficiency, compact, robust systems that are turn key. Applications such as cutting, drilling and materials processing, front end systems for high energy pulsed lasers (such as petawatts) and laser based sources of high spatial coherence, high flux x-rays all require high energy short pulses and two of the three of these applications also require high average power. The challenge in creating a high energy chirped pulse fiber laser system is to find a way to scale the output energy while avoiding nonlinear effects and maintaining good beam quality in the amplifier fiber. To this end, our 3-year LDRD program sought to demonstrate a high energy, high average power fiber laser system. This work included exploring designs of large mode area optical fiber amplifiers for high energy systems as well as understanding the issues associated chirped pulse amplification in optical fiber amplifier systems.

  6. Determination of the uncertainty in assembly average burnup

    SciTech Connect (OSTI)

    Cacciapouti, R.J.; Lam, G.M.; Theriault, P.A.; Delmolino, P.M.

    1998-12-31T23:59:59.000Z

    Pressurized water reactors maintain records of the assembly average burnup for each fuel assembly at the plant. The reactor records are currently used by commercial reactor operators and vendors for (a) special nuclear accountability, (b) placement of spent fuel in storage pools, and (c) dry storage cask design and analysis. A burnup credit methodology has been submitted to the US Nuclear Regulatory Commission (NRC) by the US Department of Energy. In order to support this application, utilities are requested to provide burnup uncertainty as part of their reactor records. The collected burnup data are used for the development of a plant correction to the cask vendor supplied burnup credit loading curve. The objective of this work is to identify a feasible methodology for determining the 95/95 uncertainty in the assembly average burnup. Reactor records are based on the core neutronic analysis coupled with measured in-core detector data. The uncertainty of particular burnup records depends mainly on the uncertainty associated with the methods used to develop the records. The methodology adopted for this analysis utilizes current neutronic codes for the determination of the uncertainty in assembly average burnup.

  7. Fig. 3. Averaged PSF of a whole eye without immersion (a), compared to average eye with corneal immersion (b). The degradation using immersion is mostly caused by

    E-Print Network [OSTI]

    Ribak, Erez

    Fig. 3. Averaged PSF of a whole eye without immersion (a), compared to average eye with corneal of the complete eye was calculated by the averaged Zernike coefficients measured on 532 eyes. All PSFs were). The PSFs were calculated by averaging Zernike coefficients measured from 228 eyes. Both PSFs were

  8. Average Fe K-alpha emission from distant AGN

    E-Print Network [OSTI]

    A. Corral; M. J. Page; F. J. Carrera; X. Barcons; S. Mateos; J. Ebrero; M. Krumpe; A. Schwope; J. A. Tedds; M. G. Watson

    2008-10-02T23:59:59.000Z

    One of the most important parameters in the XRB (X-ray background) synthesis models is the average efficiency of accretion onto SMBH (super-massive black holes). This can be inferred from the shape of broad relativistic Fe lines seen in X-ray spectra of AGN (active galactic nuclei). Several studies have tried to measure the mean Fe emission properties of AGN at different depths with very different results. We compute the mean Fe emission from a large and representative sample of AGN X-ray spectra up to redshift ~ 3.5. We developed a method of computing the rest-frame X-ray average spectrum and applied it to a large sample (more than 600 objects) of type 1 AGN from two complementary medium sensitivity surveys based on XMM-Newton data, the AXIS and XWAS samples. This method makes use of medium-to-low quality spectra without needing to fit complex models to the individual spectra but with computing a mean spectrum for the whole sample. Extensive quality tests were performed by comparing real to simulated data, and a significance for the detection of any feature over an underlying continuum was derived. We detect with a 99.9% significance an unresolved Fe K-alpha emission line around 6.4 keV with an EW ~ 90 eV, but we find no compelling evidence of any significant broad relativistic emission line in the final average spectrum. Deviations from a power law around the narrow line are best represented by a reflection component arising from cold or low-ionization material. We estimate an upper limit for the EW of any relativistic line of 400 eV at a 3 sigma confidence level. We also marginally detect the so-called Iwasawa-Taniguchi effect on the EW for the unresolved emission line, which appears weaker for higher luminosity AGN.

  9. Florida Growth Fund (Florida)

    Broader source: Energy.gov [DOE]

    The Florida Growth Fund can provide investments in technology and growth-related companies through co-investments with other institutional investors. The Fund awards preference to companies...

  10. Table 14a. Average Electricity Prices, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConferenceInstalled:a. Average Electricity

  11. Table 14b. Average Electricity Prices, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConferenceInstalled:a. Average Electricityb.

  12. Table 14b. Average Electricity Prices, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConferenceInstalled:a. Average

  13. Table 17. Average Price of U.S. Coke Exports

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910. Average3.5.6.7.

  14. Table 19. Average Price of U.S. Coal Imports

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910.9. Average Price

  15. Table 22. Average Price of U.S. Coke Imports

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910.9. Average1.2.

  16. Plasma dynamics and a significant error of macroscopic averaging

    E-Print Network [OSTI]

    Marek A. Szalek

    2005-05-22T23:59:59.000Z

    The methods of macroscopic averaging used to derive the macroscopic Maxwell equations from electron theory are methodologically incorrect and lead in some cases to a substantial error. For instance, these methods do not take into account the existence of a macroscopic electromagnetic field EB, HB generated by carriers of electric charge moving in a thin layer adjacent to the boundary of the physical region containing these carriers. If this boundary is impenetrable for charged particles, then in its immediate vicinity all carriers are accelerated towards the inside of the region. The existence of the privileged direction of acceleration results in the generation of the macroscopic field EB, HB. The contributions to this field from individual accelerated particles are described with a sufficient accuracy by the Lienard-Wiechert formulas. In some cases the intensity of the field EB, HB is significant not only for deuteron plasma prepared for a controlled thermonuclear fusion reaction but also for electron plasma in conductors at room temperatures. The corrected procedures of macroscopic averaging will induce some changes in the present form of plasma dynamics equations. The modified equations will help to design improved systems of plasma confinement.

  17. Average Fe K-alpha emission from distant AGN

    E-Print Network [OSTI]

    Corral, A; Carrera, F J; Barcons, X; Mateos, S; Ebrero, J; Krumpe, M; Schwope, A; Tedds, J A; Watson, M G

    2008-01-01T23:59:59.000Z

    One of the most important parameters in the XRB (X-ray background) synthesis models is the average efficiency of accretion onto SMBH (super-massive black holes). This can be inferred from the shape of broad relativistic Fe lines seen in X-ray spectra of AGN (active galactic nuclei). Several studies have tried to measure the mean Fe emission properties of AGN at different depths with very different results. We compute the mean Fe emission from a large and representative sample of AGN X-ray spectra up to redshift ~ 3.5. We developed a method of computing the rest-frame X-ray average spectrum and applied it to a large sample (more than 600 objects) of type 1 AGN from two complementary medium sensitivity surveys based on XMM-Newton data, the AXIS and XWAS samples. This method makes use of medium-to-low quality spectra without needing to fit complex models to the individual spectra but with computing a mean spectrum for the whole sample. Extensive quality tests were performed by comparing real to simulated data, a...

  18. Yearly average performance of the principal solar collector types

    SciTech Connect (OSTI)

    Rabl, A.

    1981-01-01T23:59:59.000Z

    The results of hour-by-hour simulations for 26 meteorological stations are used to derive universal correlations for the yearly total energy that can be delivered by the principal solar collector types: flat plate, evacuated tubes, CPC, single- and dual-axis tracking collectors, and central receiver. The correlations are first- and second-order polynomials in yearly average insolation, latitude, and threshold (= heat loss/optical efficiency). With these correlations, the yearly collectible energy can be found by multiplying the coordinates of a single graph by the collector parameters, which reproduces the results of hour-by-hour simulations with an accuracy (rms error) of 2% for flat plates and 2% to 4% for concentrators. This method can be applied to collectors that operate year-around in such a way that no collected energy is discarded, including photovoltaic systems, solar-augmented industrial process heat systems, and solar thermal power systems. The method is also recommended for rating collectors of different type or manufacturer by yearly average performance, evaluating the effects of collector degradation, the benefits of collector cleaning, and the gains from collector improvements (due to enhanced optical efficiency or decreased heat loss per absorber surface). For most of these applications, the method is accurate enough to replace a system simulation.

  19. Effects of soil areation on trunk growth, yield and nut quality of pecan

    E-Print Network [OSTI]

    Chapman, Dan Lynn

    1996-01-01T23:59:59.000Z

    The effects of three soil aerators on trunk growth, yield, nut size, and percent kernel of pecan were studied at Frio, Medina, and San Saba Counties in Texas in 1993 and 1994. A complete randomized block design was used in each location to compare...

  20. REVISITING THE SOLAR TACHOCLINE: AVERAGE PROPERTIES AND TEMPORAL VARIATIONS

    SciTech Connect (OSTI)

    Antia, H. M. [Tata Institute of Fundamental Research, Homi Bhabha Road, Mumbai 400005 (India); Basu, Sarbani, E-mail: antia@tifr.res.in, E-mail: sarbani.basu@yale.edu [Department of Astronomy, Yale University, P.O. Box 208101, New Haven, CT 06520-8101 (United States)

    2011-07-10T23:59:59.000Z

    The tachocline is believed to be the region where the solar dynamo operates. With over a solar cycle's worth of data available from the Michelson Doppler Imager and Global Oscillation Network Group instruments, we are in a position to investigate not merely the average structure of the solar tachocline, but also its time variations. We determine the properties of the tachocline as a function of time by fitting a two-dimensional model that takes latitudinal variations of the tachocline properties into account. We confirm that if we consider the central position of the tachocline, it is prolate. Our results show that the tachocline is thicker at latitudes higher than the equator, making the overall shape of the tachocline more complex. Of the tachocline properties examined, the transition of the rotation rate across the tachocline, and to some extent the position of the tachocline, show some temporal variations.

  1. Measurement strategies for estimating long-term average wind speeds

    SciTech Connect (OSTI)

    Ramsdell, J.V.; Houston, S.; Wegley, H.L.

    1980-10-01T23:59:59.000Z

    The uncertainty and bias in estimates of long-term average wind speeds inherent in continuous and intermittent measurement strategies are examined by simulating the application of the strategies to 40 data sets. Continuous strategies have smaller uncertainties for fixed duration measurement programs, but intermittent strategies make more efficient use of instruments and have smaller uncertainties for a fixed amount of instrument use. Continuous strategies tend to give biased estimates of the long-term annual mean speed unless an integral number of years' data is collected or the measurement program exceeds 3 years in duration. Intermittent strategies with three or more month-long measurement periods per year do not show any tendency toward bias.

  2. Average System Cost Methodology : Administrator's Record of Decision.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1984-06-01T23:59:59.000Z

    Significant features of average system cost (ASC) methodology adopted are: retention of the jurisdictional approach where retail rate orders of regulartory agencies provide primary data for computing the ASC for utilities participating in the residential exchange; inclusion of transmission costs; exclusion of construction work in progress; use of a utility's weighted cost of debt securities; exclusion of income taxes; simplification of separation procedures for subsidized generation and transmission accounts from other accounts; clarification of ASC methodology rules; more generous review timetable for individual filings; phase-in of reformed methodology; and each exchanging utility must file under the new methodology within 20 days of implementation by the Federal Energy Regulatory Commission of the ten major participating utilities, the revised ASC will substantially only affect three. (PSB)

  3. VSP members have nationwide access to low, cost-controlled pricing on all lens extras, for savings up to 20 percent.

    E-Print Network [OSTI]

    Bordenstein, Seth

    up to 20 percent. Patient Option Single Vision Multifocal Polycarbonate Lenses $25 $30 Polycarbonate Polycarbonate Ten times more impact-resistant than any other plastic lens, polycarbonate is the lens of choice, polycarbonate lenses also provide UV protection and scratch-resistance. Progressive Lenses Unlike traditional

  4. Dosimetry in Mammography: Average Glandular Dose Based on Homogeneous Phantom

    SciTech Connect (OSTI)

    Benevides, Luis A. [Naval Sea Systems Command,1333 Isaac Hull Avenue, Washington Navy Yard, DC 20376 (United States); Hintenlang, David E. [University of Florida, 202 Nuclear Sciences Center, P.O. Box 1183, Gainesville Florida 32611 (United States)

    2011-05-05T23:59:59.000Z

    The objective of this study was to demonstrate that a clinical dosimetry protocol that utilizes a dosimetric breast phantom series based on population anthropometric measurements can reliably predict the average glandular dose (AGD) imparted to the patient during a routine screening mammogram. AGD was calculated using entrance skin exposure and dose conversion factors based on fibroglandular content, compressed breast thickness, mammography unit parameters and modifying parameters for homogeneous phantom (phantom factor), compressed breast lateral dimensions (volume factor) and anatomical features (anatomical factor). The patient fibroglandular content was evaluated using a calibrated modified breast tissue equivalent homogeneous phantom series (BRTES-MOD) designed from anthropomorphic measurements of a screening mammography population and whose elemental composition was referenced to International Commission on Radiation Units and Measurements Report 44 and 46 tissues. The patient fibroglandular content, compressed breast thickness along with unit parameters and spectrum half-value layer were used to derive the currently used dose conversion factor (DgN). The study showed that the use of a homogeneous phantom, patient compressed breast lateral dimensions and patient anatomical features can affect AGD by as much as 12%, 3% and 1%, respectively. The protocol was found to be superior to existing methodologies. The clinical dosimetry protocol developed in this study can reliably predict the AGD imparted to an individual patient during a routine screening mammogram.

  5. Long-term average performance benefits of parabolic trough improvements

    SciTech Connect (OSTI)

    Gee, R.; Gaul, H.W.; Kearney, D.; Rabl, A.

    1980-03-01T23:59:59.000Z

    Improved parabolic trough concentrating collectors will result from better design, improved fabrication techniques, and the development and utilization of improved materials. The difficulty of achieving these improvements varies as does their potential for increasing parabolic trough performance. The purpose of this analysis is to quantify the relative merit of various technology advancements in improving the long-term average performance of parabolic trough concentrating collectors. The performance benefits of improvements are determined as a function of operating temperature for north-south, east-west, and polar mounted parabolic troughs. The results are presented graphically to allow a quick determination of the performance merits of particular improvements. Substantial annual energy gains are shown to be attainable. Of the improvements evaluated, the development of stable back-silvered glass reflective surfaces offers the largest performance gain for operating temperatures below 150/sup 0/C. Above 150/sup 0/C, the development of trough receivers that can maintain a vacuum is the most significant potential improvement. The reduction of concentrator slope errors also has a substantial performance benefit at high operating temperatures.

  6. High average power magnetic modulator for copper lasers

    SciTech Connect (OSTI)

    Cook, E.G.; Ball, D.G.; Birx, D.L.; Branum, J.D.; Peluso, S.E.; Langford, M.D.; Speer, R.D.; Sullivan, J.R.; Woods, P.G.

    1991-06-14T23:59:59.000Z

    Magnetic compression circuits show the promise of long life for operation at high average powers and high repetition rates. When the Atomic Vapor Laser Isotope Separation (AVLIS) Program at Lawrence Livermore National Laboratory needed new modulators to drive their higher power copper lasers in the Laser Demonstration Facility (LDF), existing technology using thyratron switched capacitor inversion circuits did not meet the goal for long lifetimes at the required power levels. We have demonstrated that magnetic compression circuits can achieve this goal. Improving thyratron lifetime is achieved by increasing the thyratron conduction time, thereby reducing the effect of cathode depletion. This paper describes a three stage magnetic modulator designed to provide a 60 kV pulse to a copper laser at a 4. 5 kHz repetition rate. This modulator operates at 34 kW input power and has exhibited MTBF of {approx}1000 hours when using thyratrons and even longer MTBFs with a series of stack of SCRs for the main switch. Within this paper, the electrical and mechanical designs for the magnetic compression circuits are discussed as are the important performance parameters of lifetime and jitter. Ancillary circuits such as the charge circuit and reset circuit are shown. 8 refs., 5 figs., 1 tab.

  7. Ensemble bayesian model averaging using markov chain Monte Carlo sampling

    SciTech Connect (OSTI)

    Vrugt, Jasper A [Los Alamos National Laboratory; Diks, Cees G H [NON LANL; Clark, Martyn P [NON LANL

    2008-01-01T23:59:59.000Z

    Bayesian model averaging (BMA) has recently been proposed as a statistical method to calibrate forecast ensembles from numerical weather models. Successful implementation of BMA however, requires accurate estimates of the weights and variances of the individual competing models in the ensemble. In their seminal paper (Raftery etal. Mon Weather Rev 133: 1155-1174, 2(05)) has recommended the Expectation-Maximization (EM) algorithm for BMA model training, even though global convergence of this algorithm cannot be guaranteed. In this paper, we compare the performance of the EM algorithm and the recently developed Differential Evolution Adaptive Metropolis (DREAM) Markov Chain Monte Carlo (MCMC) algorithm for estimating the BMA weights and variances. Simulation experiments using 48-hour ensemble data of surface temperature and multi-model stream-flow forecasts show that both methods produce similar results, and that their performance is unaffected by the length of the training data set. However, MCMC simulation with DREAM is capable of efficiently handling a wide variety of BMA predictive distributions, and provides useful information about the uncertainty associated with the estimated BMA weights and variances.

  8. Nonlocal effective-average-action approach to crystalline phantom membranes

    SciTech Connect (OSTI)

    Hasselmann, N. [Max Planck Institute for Solid State Research, Heisenbergstrasse 1, D-70569 Stuttgart (Germany); International Institute of Physics, Universidade Federal do Rio Grande do Norte, 59072-970, Natal, RN (Brazil); Braghin, F. L. [International Institute of Physics, Universidade Federal do Rio Grande do Norte, 59072-970, Natal, RN (Brazil); Instituto de Fisica, Universidade Federal de Goias, P. B. 131, Campus II, 74001-970, Goiania, GO (Brazil)

    2011-03-15T23:59:59.000Z

    We investigate the properties of crystalline phantom membranes, at the crumpling transition and in the flat phase, using a nonperturbative renormalization group approach. We avoid a derivative expansion of the effective average action and instead analyze the full momentum dependence of the elastic coupling functions. This leads to a more accurate determination of the critical exponents and further yields the full momentum dependence of the correlation functions of the in-plane and out-of-plane fluctuation. The flow equations are solved numerically for D=2 dimensional membranes embedded in a d=3 dimensional space. Within our approach we find a crumpling transition of second order which is characterized by an anomalous exponent {eta}{sub c}{approx_equal}0.63(8) and the thermal exponent {nu}{approx_equal}0.69. Near the crumpling transition the order parameter of the flat phase vanishes with a critical exponent {beta}{approx_equal}0.22. The flat phase anomalous dimension is {eta}{sub f}{approx_equal}0.85 and the Poisson's ratio inside the flat phase is found to be {sigma}{sub f}{approx_equal}-1/3. At the crumpling transition we find a much larger negative value of the Poisson's ratio {sigma}{sub c}{approx_equal}-0.71(5). We discuss further in detail the different regimes of the momentum dependent fluctuations, both in the flat phase and in the vicinity of the crumpling transition, and extract the crossover momentum scales which separate them.

  9. High Density Single Crystalline GaN Nanodot Arrays Fabricated Using Template-Assisted Selective Growth

    E-Print Network [OSTI]

    Wang, Yadong

    High density, uniform GaN nanodot arrays with controllable size have been synthesized by using template-assisted selective growth. The GaN nanodots with average diameter 40nm, 80nm and 120nm were selectively grown by ...

  10. LTB universes as alternatives to dark energy: does positive averaged acceleration imply positive cosmic acceleration?

    E-Print Network [OSTI]

    Antonio Enea Romano

    2007-01-27T23:59:59.000Z

    We show that positive averaged acceleration obtained in LTB models through spatial averaging can require integration over a region beyond the event horizon of the central observer. We provide an example of a LTB model with positive averaged acceleration in which the luminosity distance does not contain information about the entire spatially averaged region, making the averaged acceleration unobservable. Since the cosmic acceleration is obtained from fitting the observed luminosity distance to a FRW model we conclude that in general a positive averaged acceleration in LTB models does not imply a positive FRW cosmic acceleration.

  11. LTB universes as alternatives to dark energy: does positive averaged acceleration imply positive cosmic acceleration?

    E-Print Network [OSTI]

    Romano, A E

    2006-01-01T23:59:59.000Z

    We show that positive averaged acceleration obtained in LTB models through spatial averaging can require integration over a region beyond the event horizon of the central observer. We provide an example of a LTB model with positive averaged acceleration in which the luminosity distance does not contain information about the entire spatially averaged region, making the averaged acceleration unobservable. Since the cosmic acceleration is obtained from fitting the observed luminosity distance to a FRW model we conclude that in general a positive averaged acceleration in LTB models does not imply a positive FRW cosmic acceleration.

  12. Table 1. Number and Percent of Women Faculty in Science/Engineering by Department, 2000* Division/Department Women Men % Women

    E-Print Network [OSTI]

    Sheridan, Jennifer

    .2% Agricultural & Applied Economics 0.00 22.00 0.0% Life Sciences Communication 3.80 8.33 31.3% Rural Sociology 3 Communication 4.41 11.00 28.6% School of Library & Information Studies 4.00 2.00 66.7% #12;Political Science 8Table 1. Number and Percent of Women Faculty in Science/Engineering by Department, 2000* Division

  13. Table 1. Number and Percent of Women Faculty in Science/Engineering by Department, 2005 Division/Department Women Men % Women

    E-Print Network [OSTI]

    Sheridan, Jennifer

    223.20 366.73 37.8% Agricultural & Applied Economics 3.00 22.90 11.6% Life Sciences Communication 5 Communication 5.00 8.50 37.0% School of Library & Information Studies 7.00 0.50 93.3% Political Science 7.00 27Table 1. Number and Percent of Women Faculty in Science/Engineering by Department, 2005 Division

  14. U.S. Energy Information Administration (EIA) - Topics

    Gasoline and Diesel Fuel Update (EIA)

    The rate of growth in real GDP depends on assumptions about labor force growth and productivity. In the Reference case, growth in real GDP averages 2.7 percent per year due to a...

  15. Microsoft Word - External 2nd PP Elections Summary_10242011.doc

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

    Percent of Load Served 1 Number of Customers Estimated Average Percent of Load Served 1 Load Growth Rate (LGR) 41 (1 partial LGR) 2% 54 (1 partial LGR) 8% Short-Term Rate (STR)...

  16. Fact #638: August 30, 2010 Average Expenditure for a New Car...

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

    8: August 30, 2010 Average Expenditure for a New Car Declines in Relation to Family Earnings Fact 638: August 30, 2010 Average Expenditure for a New Car Declines in Relation to...

  17. S86 JUNE 2006| above-average precipitation totals for the year, caus-

    E-Print Network [OSTI]

    in Croatia and Bosnia-Herzegovina, but below average for June in Bulgaria. Rainfall totals in April and June

  18. Commodity Price Volatility and the Sources of Growth

    E-Print Network [OSTI]

    Cavalcanti, Tiago V. de V.; Mohaddes, Kamiar; Raissi, Mehdi

    2011-01-26T23:59:59.000Z

    -2000, show that higher levels of exchange rate volatility can stunt growth, especially in countries with thin capital markets. Bleaney and Greenaway (2001) estimate a panel data model for a sample of 14 sub-Saharan African countries over 1980-1995 and show... countries, we set t0 to this year.5 Furthermore, we assume a depreciation rate, #14;, of six percent and compute the subsequent values of the capital stock as: Kit = (1#0; #14;)Kit#0;1 + Iit: (6) 3.3 Human Capital Stock To calculate the level of human...

  19. Sorghum Growth and Development

    E-Print Network [OSTI]

    Gerik, Tom; Bean, Brent W.; Vanderlip, Richard

    2003-08-07T23:59:59.000Z

    Sorghum is well adapted to Texas, and its ability to yield consistently makes it popular with growers. This publication discusses sorghum plant biology and growth....

  20. Strategic Growth Initiative (Michigan)

    Broader source: Energy.gov [DOE]

    A joint venture between Michigan Department of Agriculture and Rural Development (MDARD) and the Michigan Economic Development Corporation (MEDC), the Strategic Growth Initiative Grant Program was...

  1. Explosive growth of inhomogeneities in the distribution of droplets in a turbulent air

    E-Print Network [OSTI]

    S. A. Derevyanko; G. Falkovich; K. Turitsyn; S. Turitsyn

    2006-04-23T23:59:59.000Z

    We study how the spatial distribution of inertial particles evolves with time in a random flow. We describe an explosive appearance of caustics and show how they influence an exponential growth of clusters due to smooth parts of the flow, leading in particular to an exponential growth of the average distance between particles.

  2. spaceheat_percent2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 2012302Q),1996 Total pera.5a.8a.Space

  3. spaceheat_percent2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and Methane2a.6a.Space

  4. Plan averaging for multicriteria navigation of sliding window IMRT and VMAT

    SciTech Connect (OSTI)

    Craft, David, E-mail: dcraft@partners.org; Papp, Dvid; Unkelbach, Jan [Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114 (United States)] [Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114 (United States)

    2014-02-15T23:59:59.000Z

    Purpose: To describe a method for combining sliding window plans [intensity modulated radiation therapy (IMRT) or volumetric modulated arc therapy (VMAT)] for use in treatment plan averaging, which is needed for Pareto surface navigation based multicriteria treatment planning. Methods: The authors show that by taking an appropriately defined average of leaf trajectories of sliding window plans, the authors obtain a sliding window plan whose fluence map is the exact average of the fluence maps corresponding to the initial plans. In the case of static-beam IMRT, this also implies that the dose distribution of the averaged plan is the exact dosimetric average of the initial plans. In VMAT delivery, the dose distribution of the averaged plan is a close approximation of the dosimetric average of the initial plans. Results: The authors demonstrate the method on three Pareto optimal VMAT plans created for a demanding paraspinal case, where the tumor surrounds the spinal cord. The results show that the leaf averaged plans yield dose distributions that approximate the dosimetric averages of the precomputed Pareto optimal plans well. Conclusions: The proposed method enables the navigation of deliverable Pareto optimal plans directly, i.e., interactive multicriteria exploration of deliverable sliding window IMRT and VMAT plans, eliminating the need for a sequencing step after navigation and hence the dose degradation that is caused by such a sequencing step.

  5. High-average-power, diode-pumped solid state lasers for energy and industrial applications

    SciTech Connect (OSTI)

    Krupke, W.F.

    1994-03-02T23:59:59.000Z

    Progress at LLNL in the development high-average-power diode-pumped solid state lasers is summarized, including the development of enabling technologies.

  6. E-Print Network 3.0 - area average temperature Sample Search...

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

    and Fisheries Sciences Collection: Environmental Sciences and Ecology 24 The Greenhouse Effect Temperature Equilibrium Summary: - it is neither heating nor cooling on average....

  7. Modeling tin whisker growth.

    SciTech Connect (OSTI)

    Weinberger, Christopher Robert

    2013-08-01T23:59:59.000Z

    Tin, lead, and lead-tin solders are the most commonly used solders due to their low melting temperatures. However, due to the toxicity problems, lead must now be removed from solder materials. This has lead to the re-emergence of the issue of tin whisker growth. Tin whiskers are a microelectronic packaging issue because they can lead to shorts if they grow to sufficient length. However, the cause of tin whisker growth is still not well understood and there is lack of robust methods to determine when and if whiskering will be a problem. This report summarizes some of the leading theories on whisker growth and attempts to provide some ideas towards establishing the role microstructure plays in whisker growth.

  8. Planar elliptic growth

    SciTech Connect (OSTI)

    Mineev, Mark [Los Alamos National Laboratory

    2008-01-01T23:59:59.000Z

    The planar elliptic extension of the Laplacian growth is, after a proper parametrization, given in a form of a solution to the equation for areapreserving diffeomorphisms. The infinite set of conservation laws associated with such elliptic growth is interpreted in terms of potential theory, and the relations between two major forms of the elliptic growth are analyzed. The constants of integration for closed form solutions are identified as the singularities of the Schwarz function, which are located both inside and outside the moving contour. Well-posedness of the recovery of the elliptic operator governing the process from the continuum of interfaces parametrized by time is addressed and two examples of exact solutions of elliptic growth are presented.

  9. Renewable Energy Growth Program

    Broader source: Energy.gov [DOE]

    In 2014, Act H 7727 created the Renewable Energy Growth (REG) program with the goal to promote installation of grid connected renewable energy within the load zones of electric distribution...

  10. FGF growth factor analogs

    DOE Patents [OSTI]

    Zamora, Paul O. (Gaithersburg, MD); Pena, Louis A. (Poquott, NY); Lin, Xinhua (Plainview, NY); Takahashi, Kazuyuki (Germantown, MD)

    2012-07-24T23:59:59.000Z

    The present invention provides a fibroblast growth factor heparin-binding analog of the formula: ##STR00001## where R.sub.1, R.sub.2, R.sub.3, R.sub.4, R.sub.5, X, Y and Z are as defined, pharmaceutical compositions, coating compositions and medical devices including the fibroblast growth factor heparin-binding analog of the foregoing formula, and methods and uses thereof.

  11. Comparison of analytical methods for percent phosphorous determination in electroless nickel plate. [UCC-ND alkalimetric method; UCC-ND Inductively Coupled Plasma (ICP) method; ASTM-E39 gravimetric method; development colorimetric method; independent colorimetric method

    SciTech Connect (OSTI)

    Owens, W.W.; Sullivan, H.H.

    1982-01-01T23:59:59.000Z

    Electroless nicke-plate characteristics are substantially influenced by percent phosphorous concentrations. Available ASTM analytical methods are designed for phosphorous concentrations of less than one percent compared to the 4.0 to 20.0% concentrations common in electroless nickel plate. A variety of analytical adaptations are applied through the industry resulting in poor data continuity. This paper presents a statistical comparison of five analytical methods and recommends accurate and precise procedures for use in percent phosphorous determinations in electroless nickel plate. 2 figures, 1 table.

  12. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,

  13. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado"

  14. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado"Kentucky"

  15. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,

  16. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"

  17. GRADE NUMBER OF CREDITS FACTOR QUALITY POINTS HOW TO COMPUTE A GRADE POINT AVERAGE

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    .00 = __________ TOTALS: _________ __________ CREDITS QUALITY PTS. Divide total credits into total quality pointsGRADE NUMBER OF CREDITS FACTOR QUALITY POINTS HOW TO COMPUTE A GRADE POINT AVERAGE A _________ x 4 and the result is the grade point average (GPA). QUALITY PTS. = GPA ____________ = CREDITS

  18. Characterization of the optimal trajectories for the averaged dynamics associated to singularly perturbed control systems

    E-Print Network [OSTI]

    Boyer, Edmond

    trajectory of the averaged system. Key words: Optimal control, Singular perturbations, occupational measures is to study singularly perturbed control systems. Firstly, we provide linearized formulation version and sufficient conditions in order to identify the optimal trajectory of the averaged system. Linear programming

  19. Tradeoffs and Average-Case Equilibria in Selfish Routing Martin Hoefer

    E-Print Network [OSTI]

    Reiterer, Harald

    the expected price of anarchy of the game for various social cost functions. For total latency social cost cost in polyno- mial time. Furthermore, our analyses of the expected prices are average-case analyses, 2007 Abstract We consider the price of selfish routing in terms of tradeoffs and from an average

  20. A spatiotemporal auto-regressive moving average model for solar radiation

    E-Print Network [OSTI]

    Stone, J. V.

    A spatiotemporal auto-regressive moving average model for solar radiation C.A. Glasbey and D 1). Solar radiation, averaged over ten minute intervals, was recorded at each site for two years otherwise there are too many parameters to be estimated. As we wish to simulate solar radiation on a network

  1. Variances of the Average Numbers of Nucleotide Substitutions Within and Between Populations'

    E-Print Network [OSTI]

    Nei, Masatoshi

    Variances of the Average Numbers of Nucleotide Substitutions Within and Between Populations the variances of nucleotide diversity within pop- ulations and of nucleotide divergence between populations of the extent of DNA polymorphism is nucleotide diversity (z), which is defined as the average number of either

  2. Volume-averaged macroscopic equation for fluid flow in moving porous media

    E-Print Network [OSTI]

    Wang, Liang; Guo, Zhaoli; Mi, Jianchun

    2014-01-01T23:59:59.000Z

    Darcy's law and the Brinkman equation are two main models used for creeping fluid flows inside moving permeable particles. For these two models, the time derivative and the nonlinear convective terms of fluid velocity are neglected in the momentum equation. In this paper, a new momentum equation including these two terms are rigorously derived from the pore-scale microscopic equations by the volume-averaging method, which can reduces to Darcy's law and the Brinkman equation under creeping flow conditions. Using the lattice Boltzmann equation method, the macroscopic equations are solved for the problem of a porous circular cylinder moving along the centerline of a channel. Galilean invariance of the equations are investigated both with the intrinsic phase averaged velocity and the phase averaged velocity. The results demonstrate that the commonly used phase averaged velocity cannot serve as the superficial velocity, while the intrinsic phase averaged velocity should be chosen for porous particulate systems.

  3. Residential Electricity Demand in China -- Can Efficiency Reverse the Growth?

    SciTech Connect (OSTI)

    Letschert, Virginie; McNeil, Michael A.; Zhou, Nan

    2009-05-18T23:59:59.000Z

    The time when energy-related carbon emissions come overwhelmingly from developed countries is coming to a close. China has already overtaken the United States as the world's leading emitter of greenhouse gas emissions. The economic growth that China has experienced is not expected to slow down significantly in the long term, which implies continued massive growth in energy demand. This paper draws on the extensive expertise from the China Energy Group at LBNL on forecasting energy consumption in China, but adds to it by exploring the dynamics of demand growth for electricity in the residential sector -- and the realistic potential for coping with it through efficiency. This paper forecasts ownership growth of each product using econometric modeling, in combination with historical trends in China. The products considered (refrigerators, air conditioners, fans, washing machines, lighting, standby power, space heaters, and water heating) account for 90percent of household electricity consumption in China. Using this method, we determine the trend and dynamics of demandgrowth and its dependence on macroeconomic drivers at a level of detail not accessible by models of a more aggregate nature. In addition, we present scenarios for reducing residential consumption through efficiency measures defined at the product level. The research takes advantage of an analytical framework developed by LBNL (BUENAS) which integrates end use technology parameters into demand forecasting and stock accounting to produce detailed efficiency scenarios, thus allowing for a technologically realistic assessment of efficiency opportunities specifically in the Chinese context.

  4. Improved performance of high average power semiconductor arrays for applications in diode pumped solid state lasers

    SciTech Connect (OSTI)

    Beach, R.; Emanuel, M.; Benett, W.; Freitas, B.; Ciarlo, D.; Carlson, N.; Sutton, S.; Skidmore, J.; Solarz, R.

    1994-01-01T23:59:59.000Z

    The average power performance capability of semiconductor diode laser arrays has improved dramatically over the past several years. These performance improvements, combined with cost reductions pursued by LLNL and others in the fabrication and packaging of diode lasers, have continued to reduce the price per average watt of laser diode radiation. Presently, we are at the point where the manufacturers of commercial high average power solid state laser systems used in material processing applications can now seriously consider the replacement of their flashlamp pumps with laser diode pump sources. Additionally, a low cost technique developed and demonstrated at LLNL for optically conditioning the output radiation of diode laser arrays has enabled a new and scalable average power diode-end-pumping architecture that can be simply implemented in diode pumped solid state laser systems (DPSSL`s). This development allows the high average power DPSSL designer to look beyond the Nd ion for the first time. Along with high average power DPSSL`s which are appropriate for material processing applications, low and intermediate average power DPSSL`s are now realizable at low enough costs to be attractive for use in many medical, electronic, and lithographic applications.

  5. Averaged Energy Inequalities for Non-Minimally Coupled Classical Scalar Fields

    E-Print Network [OSTI]

    Lutz W. Osterbrink

    2006-12-11T23:59:59.000Z

    The stress-energy tensor for the non-minimally coupled scalar field is known not to satisfy the pointwise energy conditions, even on the classical level. We show, however, that local averages of the classical stress-energy tensor satisfy certain inequalities and give bounds for averages along causal geodesics. It is shown that in vacuum background spacetimes, ANEC and AWEC are satisfied. Furthermore we use our result to show that in the classical situation we have an analogue to the so called quantum interest conjecture. These results lay the foundations for averaged energy inequalities for the quantised non-minimally coupled fields.

  6. Urban Growth and Climate Change

    E-Print Network [OSTI]

    Kahn, Matthew E.

    2008-01-01T23:59:59.000Z

    the average emissions factor for coal fired power plants isthe average emissions factor non-coal fired power plants. 9coal fired power plants would enjoy an improvement in local ambient air quality as these plants cleaned up their emissions.

  7. Characterization of Stem Growth and Chemical Composition in Sorghum Bicolor

    E-Print Network [OSTI]

    Anderson Jr, Robert Taylor

    2014-03-31T23:59:59.000Z

    bicolor that are differently expressed across internode development ........45 Figure 18 Hypothetical pathways influencing stem growth in Sorghum bicolor ......46 Figure 19 Variation in saccharification efficiency of the E-SAP panel via... collected from 200 diverse lines of the E-SAP panel grown for 130 days in the College Station research field during the summer of 2012. Data of each accession represents the average of six biological replicates collected from two different field plots...

  8. The averaging process in permeability estimation from well-test data

    SciTech Connect (OSTI)

    Oliver, D.S. (Saudi Aramco (SA))

    1990-09-01T23:59:59.000Z

    Permeability estimates from the pressure derivative or the slope of the semilog plot usually are considered to be averages of some large ill-defined reservoir volume. This paper presents results of a study of the averaging process, including identification of the region of the reservoir that influences permeability estimates, and a specification of the relative contribution of the permeability of various regions to the estimate of average permeability. The diffusion equation for the pressure response of a well situated in an infinite reservoir where permeability is an arbitrary function of position was solved for the case of small variations from a mean value. Permeability estimates from the slope of the plot of pressure vs. the logarithm of drawdown time are shown to be weighted averages of the permeabilities within an inner and outer radius of investigation.

  9. average power diode-pumped: Topics by E-print Network

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

    are required for numerous applications such as UV generation for lithography and pumping by a fiber- coupled diode bar1 generated 7-ps pulses with 4.5-W average power and...

  10. Reconstruction of ionization probabilities from spatially averaged data in N dimensions

    E-Print Network [OSTI]

    Stroahaber, James; Kolomenskii, A; Schuessler, Hans

    2010-07-06T23:59:59.000Z

    We present an analytical inversion technique, which can be used to recover ionization probabilities from spatially averaged data in an N-dimensional detection scheme. The solution is given as a power series in intensity. For this reason, we call...

  11. Social comparison test using women's subjective and physiological reactivity to thin and average size models

    E-Print Network [OSTI]

    Tamez, Jeannine Paola

    2009-05-15T23:59:59.000Z

    The current study examined the subjective and physiological reactivity to body image stimuli among females engaging in a social comparison task. Study I was conducted to select images of thin and average size models and neutral objects for Study...

  12. System average rates of U.S. investor-owned electric utilities : a statistical benchmark study

    E-Print Network [OSTI]

    Berndt, Ernst R.

    1995-01-01T23:59:59.000Z

    Using multiple regression methods, we have undertaken a statistical "benchmark" study comparing system average electricity rates charged by three California utilities with 96 other US utilities over the 1984-93 time period. ...

  13. U.S. Energy Information Administration (EIA) - Sector

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    gross domestic product (GDP) depends on assumptions about labor force growth and productivity. In the Reference case, growth in real GDP averages 2.7 percent per year due to a...

  14. Experiments with a time-dependent, zonally averaged, seasonal, enery balance climatic model

    E-Print Network [OSTI]

    Thompson, Starley Lee

    1977-01-01T23:59:59.000Z

    EXPERIMENTS WITH A TI&E-DEPENDENT, ZONALLY AVERAGED, SEASONAL, ENERGY BALANCE CLIMATIC MODEL A Thesis by STARLEY LEE THOMPSON Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirement for the decree... of MASTER OF SCIENCE December 1977 Major Subject: Meteorology EXPERIMENTS WITH A TIME DEPENDENT~ ZONALLY AVERAGED~ SEASONAL, ENERGY BALANCE CLIMATIC MODEL A Thesis by STARLEY LEE THOMPSON Approved as to style and content by: (Chairman of Committee...

  15. Variation in the annual average radon concentration measured in homes in Mesa County, Colorado

    SciTech Connect (OSTI)

    Rood, A.S.; George, J.L.; Langner, G.H. Jr.

    1990-04-01T23:59:59.000Z

    The purpose of this study is to examine the variability in the annual average indoor radon concentration. The TMC has been collecting annual average radon data for the past 5 years in 33 residential structures in Mesa County, Colorado. This report is an interim report that presents the data collected up to the present. Currently, the plans are to continue this study in the future. 62 refs., 3 figs., 12 tabs.

  16. Experiments with a time-dependent, zonally averaged, seasonal, enery balance climatic model

    E-Print Network [OSTI]

    Thompson, Starley Lee

    1977-01-01T23:59:59.000Z

    EXPERIMENTS WITH A TI&E-DEPENDENT, ZONALLY AVERAGED, SEASONAL, ENERGY BALANCE CLIMATIC MODEL A Thesis by STARLEY LEE THOMPSON Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirement for the decree... of MASTER OF SCIENCE December 1977 Major Subject: Meteorology EXPERIMENTS WITH A TIME DEPENDENT~ ZONALLY AVERAGED~ SEASONAL, ENERGY BALANCE CLIMATIC MODEL A Thesis by STARLEY LEE THOMPSON Approved as to style and content by: (Chairman of Committee...

  17. Nongeneralizability of Tsallis Entropy by means of Kolmogorov-Nagumo averages under pseudo-additivity

    E-Print Network [OSTI]

    Ambedkar Dukkipati; M. Narsimha Murty; Shalabh Bhatnagar

    2005-05-30T23:59:59.000Z

    As additivity is a characteristic property of the classical information measure, Shannon entropy, pseudo-additivity is a characteristic property of Tsallis entropy. Renyi generalized Shannon entropy by means of Kolmogorov-Nagumo averages, by imposing additivity as a constraint.In this paper we show that there exists no generalization for Tsallis entropy, by means of Kolmogorov-Nagumo averages, which preserves the pseudo-additivity.

  18. Average over energy effect of parity nonconservation in neutron scattering on heavy nuclei

    E-Print Network [OSTI]

    O. P. Sushkov

    1996-03-05T23:59:59.000Z

    Using semiclassical approximation we consider parity nonconservation (PNC) averaged over compound resonances. We demonstrate that the result of the averaging crucially depends on the properties of residual strong nucleon-nucleon interaction. Natural way to elucidate this problem is to investigate experimentally PNC spin rotation with nonmonachromatic neutron beam: $E \\sim \\Delta E \\sim 1MeV$. Value of the effect can reach $\\psi \\sim 10^{-5}-10^{-4}$ per mean free path.

  19. 100 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I, VOL. XX, NO. Y, MONTH 2005 Simultaneous Peak and Average Power

    E-Print Network [OSTI]

    Mohanty, Saraju P.

    power, power fluctuation, average power and total energy are equally design constraints. In this work by the average power (energy). The increase in energy and average power consumption, increases the energy bill ( ). As the energy (average power) consumption increases, it necessitates the increase in generation which in turn

  20. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011, 2010,Jersey"RhodeVirginia"West

  1. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011, 2010,Jersey"RhodeVirginia"WestArizona"

  2. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado" "Sector", 2013, 2012, 2011, 2010,

  3. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado" "Sector", 2013, 2012, 2011,

  4. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado" "Sector", 2013, 2012,

  5. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado" "Sector", 2013, 2012,District of

  6. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado" "Sector", 2013, 2012,District

  7. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado" "Sector", 2013,

  8. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado" "Sector", 2013,Hawaii"

  9. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado" "Sector", 2013,Hawaii"Idaho"

  10. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado" "Sector",

  11. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado" "Sector",Indiana"

  12. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado" "Sector",Indiana"Iowa"

  13. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado"Kentucky" "Sector", 2013, 2012,

  14. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado"Kentucky" "Sector", 2013,

  15. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado"Kentucky" "Sector",

  16. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado"Kentucky" "Sector",Maryland"

  17. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado"Kentucky"Michigan" "Sector",

  18. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado"Kentucky"Michigan"

  19. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado"Kentucky"Michigan"Mississippi"

  20. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector", 2013, 2012, 2011, 2010, 2009, 2008,

  1. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector", 2013, 2012, 2011, 2010, 2009,

  2. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector", 2013, 2012, 2011, 2010,

  3. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector", 2013, 2012, 2011,

  4. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector", 2013, 2012, 2011,Jersey"

  5. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector", 2013, 2012,

  6. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector", 2013, 2012,Carolina"

  7. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector", 2013,

  8. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector", 2013,Ohio" "Sector",

  9. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector", 2013,Ohio"

  10. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector", 2013,Ohio"Oregon"

  11. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector",

  12. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector",Rhode Island"

  13. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector",Rhode Island"Carolina"

  14. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector",Rhode

  15. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector",RhodeTennessee"

  16. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector",RhodeTennessee"Texas"

  17. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah" "Sector", 2013, 2012, 2011, 2010,

  18. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah" "Sector", 2013, 2012, 2011,

  19. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah" "Sector", 2013, 2012,

  20. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah" "Sector", 2013,

  1. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah" "Sector", 2013,West Virginia"

  2. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah" "Sector", 2013,West

  3. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah" "Sector", 2013,WestWyoming"

  4. Table N8.2. Average Prices of Purchased Energy Sources, 1998

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWestQuantity of2".9..1.1..3.3.1.2.2.

  5. Table N8.3. Average Prices of Purchased Electricity, Natural Gas, and Steam,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWestQuantity

  6. Eco-Growth: A Framework for Sustainable Growth

    E-Print Network [OSTI]

    Blanco, Edgar E.

    Growth is imperative for corporate success and yet the environmental impact of this growth is not sustainable. In this paper we offer a framework for thinking about the stages of tackling the environmental sustainability ...

  7. Small Enterprise Growth Fund (Maine)

    Broader source: Energy.gov [DOE]

    The Small Enterprise Growth Fund is a professionally-managed venture capital fund that invests in Maine companies which demonstrate high potential for growth and public benefit. The fund has...

  8. Geometry of Valley Growth

    E-Print Network [OSTI]

    Petroff, Alexander P; Abrams, Daniel M; Lobkovsky, Alexander E; Kudrolli, Arshad; Rothman, Daniel H

    2011-01-01T23:59:59.000Z

    Although amphitheater-shaped valley heads can be cut by groundwater flows emerging from springs, recent geological evidence suggests that other processes may also produce similar features, thus confounding the interpretations of such valley heads on Earth and Mars. To better understand the origin of this topographic form we combine field observations, laboratory experiments, analysis of a high-resolution topographic map, and mathematical theory to quantitatively characterize a class of physical phenomena that produce amphitheater-shaped heads. The resulting geometric growth equation accurately predicts the shape of decimeter-wide channels in laboratory experiments, 100-meter wide valleys in Florida and Idaho, and kilometer wide valleys on Mars. We find that whenever the processes shaping a landscape favor the growth of sharply protruding features, channels develop amphitheater-shaped heads with an aspect ratio of pi.

  9. The effects of compaction of different golf green soil mixtures on plant growth

    E-Print Network [OSTI]

    Kunze, Raymond John

    1956-01-01T23:59:59.000Z

    growth, removed prior Co compaction treatments, from mixtures of different sand- clay soll-peat rstlosoeoooeoo ~ ~ aeoaoae ~ o oo ~ o ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ 7e An average of 2 clipping yields of top growth, removed after Che compaction and during...-clay soil-peat rs'tlos ~ a ~ eaoaoaeooaeeaa ~ o ~ aeea e ~ o ~ eaeoao ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ a ~ aooo 28 9e Differential effects of the different sand-clay soll-peat ratios of 5 particle size mixtures on yields of 2 clip plugs following Che compaction...

  10. Direct Observation of Aggregative Nanoparticle Growth: Kinetic...

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

    Aggregative Nanoparticle Growth: Kinetic Modeling of the Size Distribution and Growth Rate. Direct Observation of Aggregative Nanoparticle Growth: Kinetic Modeling of the Size...

  11. Chaotic motion at the emergence of the time averaged energy decay

    E-Print Network [OSTI]

    Cesar Manchein; Jane Rosa; Marcus W. Beims

    2009-05-29T23:59:59.000Z

    A system plus environment conservative model is used to characterize the nonlinear dynamics when the time averaged energy for the system particle starts to decay. The system particle dynamics is regular for low values of the $N$ environment oscillators and becomes chaotic in the interval $13\\le N\\le15$, where the system time averaged energy starts to decay. To characterize the nonlinear motion we estimate the Lyapunov exponent (LE), determine the power spectrum and the Kaplan-Yorke dimension. For much larger values of $N$ the energy of the system particle is completely transferred to the environment and the corresponding LEs decrease. Numerical evidences show the connection between the variations of the {\\it amplitude} of the particles energy time oscillation with the time averaged energy decay and trapped trajectories.

  12. Reconstruction of ionization probabilities from spatially averaged data in N dimensions

    SciTech Connect (OSTI)

    Strohaber, J.; Kolomenskii, A. A.; Schuessler, H. A. [Department of Physics, Texas A and M University, College Station, Texas 77843-4242 (United States)

    2010-07-15T23:59:59.000Z

    We present an analytical inversion technique, which can be used to recover ionization probabilities from spatially averaged data in an N-dimensional detection scheme. The solution is given as a power series in intensity. For this reason, we call this technique a multiphoton expansion (MPE). The MPE formalism was verified with an exactly solvable inversion problem in two dimensions, and probabilities in the postsaturation region, where the intensity-selective scanning approach breaks down, were recovered. In three dimensions, ionization probabilities of Xe were successfully recovered with MPE from simulated (using the Ammosov-Delone-Krainov tunneling theory) ion yields. Finally, we tested our approach with intensity-resolved benzene-ion yields, which show a resonant multiphoton ionization process. By applying MPE to this data (which were artificially averaged), the resonant structure was recovered, which suggests that the resonance in benzene may have been observed in spatially averaged data taken elsewhere.

  13. Experimental Estimation of Average Fidelity of a Clifford Gate on a 7-qubit Quantum Processor

    E-Print Network [OSTI]

    Dawei Lu; Hang Li; Denis-Alexandre Trottier; Jun Li; Aharon Brodutch; Anthony P. Krismanich; Ahmad Ghavami; Gary I. Dmitrienko; Guilu Long; Jonathan Baugh; Raymond Laflamme

    2014-11-28T23:59:59.000Z

    Quantum gates in experiment are inherently prone to errors that need to be characterized before they can be corrected. Full characterization via quantum process tomography is impractical and often unnecessary. For most practical purposes, it is enough to estimate more general quantities such as the average fidelity. Here we use a unitary 2-design and twirling protocol for efficiently estimating the average fidelity of Clifford gates, to certify a 7-qubit entangling gate in a nuclear magnetic resonance quantum processor. Compared with more than $10^8$ experiments required by full process tomography, we conducted 1656 experiments to satisfy a statistical confidence level of 99%. The average fidelity of this Clifford gate in experiment is 55.1%, and rises to 87.5% if the infidelity due to decoherence is removed. The entire protocol of certifying Clifford gates is efficient and scalable, and can easily be extended to any general quantum information processor with minor modifications.

  14. Comparison of average and point capillary pressure-saturation functions determined by steady-state centrifugation

    SciTech Connect (OSTI)

    Cropper, Clark [University of Tennessee, Knoxville (UTK); Perfect, Edmund [ORNL; van den Berg, Dr. Elmer [University of Tennessee, Knoxville (UTK); Mayes, Melanie [ORNL

    2010-01-01T23:59:59.000Z

    The capillary pressure-saturation function can be determined from centrifuge drainage experiments. In soil physics, the data resulting from such experiments are usually analyzed by the 'averaging method.' In this approach, average relative saturation, , is expressed as a function of average capillary pressure, <{psi}>, i.e., (<{psi}>). In contrast, the capillary pressure-saturation function at a physical point, i.e., S({psi}), has been extracted from similar experiments in petrophysics using the 'integral method.' The purpose of this study was to introduce the integral method applied to centrifuge experiments to a soil physics audience and to compare S({psi}) and (<{psi}>) functions, as parameterized by the Brooks-Corey and van Genuchten equations, for 18 samples drawn from a range of porous media (i.e., Berea sandstone, glass beads, and Hanford sediments). Steady-state centrifuge experiments were performed on preconsolidated samples with a URC-628 Ultra-Rock Core centrifuge. The angular velocity and outflow data sets were then analyzed using both the averaging and integral methods. The results show that the averaging method smoothes out the drainage process, yielding less steep capillary pressure-saturation functions relative to the corresponding point-based curves. Maximum deviations in saturation between the two methods ranged from 0.08 to 0.28 and generally occurred at low suctions. These discrepancies can lead to inaccurate predictions of other hydraulic properties such as the relative permeability function. Therefore, we strongly recommend use of the integral method instead of the averaging method when determining the capillary pressure-saturation function by steady-state centrifugation. This method can be successfully implemented using either the van Genuchten or Brooks-Corey functions, although the latter provides a more physically precise description of air entry at a physical point.

  15. GALAXY GROWTH BY MERGING IN THE NEARBY UNIVERSE

    SciTech Connect (OSTI)

    Jiang Tao; Hogg, David W.; Blanton, Michael R., E-mail: david.hogg@nyu.edu [Center for Cosmology and Particle Physics, Department of Physics, New York University, 4 Washington Place, New York, NY 10003 (United States)

    2012-11-10T23:59:59.000Z

    We measure the mass growth rate by merging for a wide range of galaxy types. We present the small-scale (0.014 h {sup -1} {sub 70} Mpc < r < 11 h {sub 70} {sup -1} Mpc) projected cross-correlation functions w(r {sub p}) of galaxy subsamples from the spectroscopic sample of the NYU Value-Added Galaxy Catalog (5 Multiplication-Sign 10{sup 5} galaxies of redshifts 0.03 < z < 0.15) with galaxy subsamples from the Sloan Digital Sky Survey imaging (4 Multiplication-Sign 10{sup 7} galaxies). We use smooth fits to de-project the two-dimensional functions w(r {sub p}) to obtain smooth three-dimensional real-space cross-correlation functions {xi}(r) for each of several spectroscopic subsamples with each of several imaging subsamples. Because close pairs are expected to merge, the three-space functions and dynamical evolution time estimates provide galaxy accretion rates. We find that the accretion onto massive blue galaxies and onto red galaxies is dominated by red companions, and that onto small-mass blue galaxies, red and blue galaxies make comparable contributions. We integrate over all types of companions and find that at fixed stellar mass, the total fractional accretion rates onto red galaxies ({approx}3 h {sub 70} percent per Gyr) are greater than that onto blue galaxies ({approx}1 h {sub 70} percent per Gyr). These rates are almost certainly overestimates because we have assumed that all close pairs merge as quickly as the merger time that we used. One conclusion of this work is that if the total growth of red galaxies from z = 1 to z = 0 is mainly due to merging, the merger rates must have been higher in the past.

  16. Growth, microstructure, and luminescent

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist.NewofGeothermal Heaton Armed- Deep Vadose ZonescheduleGrowth,

  17. Averaged implicit hydrodynamic model of semiflexible filaments Preethi L. Chandran and Mohammad R. K. Mofrad*

    E-Print Network [OSTI]

    Mofrad, Mohammad R. K.

    , in order to better resolve the drag profiles along the filament. A large part of the hydrodynamic dragAveraged implicit hydrodynamic model of semiflexible filaments Preethi L. Chandran and Mohammad R 2009; published 26 March 2010 We introduce a method to incorporate hydrodynamic interaction in a model

  18. ATOC 3500 Thursday, Feb. 18, 2010 Hand back Midterm Exams (average = 89)

    E-Print Network [OSTI]

    Toohey, Darin W.

    ATOC 3500 Thursday, Feb. 18, 2010 Hand back Midterm Exams (average = 89) Interaction of atmospheric and efflorescence equate to a change in state from solid to liquid as the relative humidity (RH) changes. RH can change due to an increase in the mixing ratio of water vapor (equating to more collisions of water

  19. Power Control for Block-Fading Channels with Peak-to-Average Power Constraints

    E-Print Network [OSTI]

    Guillén i Fàbregas, Albert

    .nguyen@postgrads.unisa.edu.au Albert Guill´en i F`abregas Engineering Department University of Cambridge Cambridge, CB2 1PZ, UK guillen@ieee.org Lars K. Rasmussen Institute for Telecommunications Research University of South Australia Mawson Lakes SA 5095 lars.rasmussen@unisa.edu.au Abstract-- Power allocation with peak-to-average power con

  20. Peak-to-average power ratio reduction in OFDM based on transformation of partial

    E-Print Network [OSTI]

    Peak-to-average power ratio reduction in OFDM based on transformation of partial transmit sequences number, but T-PTS is less complex. Introduction: To avoid the occurrence of large peak power of signals G. Lu, P. Wu and C. Carlemalm-Logothetis A novel scheme (transformation of partial transmit

  1. ON THE SELF-AVERAGING OF WAVE ENERGY IN RANDOM GUILLAUME BAL

    E-Print Network [OSTI]

    Bal, Guillaume

    ON THE SELF-AVERAGING OF WAVE ENERGY IN RANDOM MEDIA GUILLAUME BAL Abstract. We consider transport equations for arbitrary statistical moments of the wave field is used to show that wave energy initial energy distributions. We show that wave energy is not stable, and instead scintillation is created

  2. Average-case analysis of perfect sorting by reversals Mathilde Bouvel

    E-Print Network [OSTI]

    Boyer, Edmond

    genomics, is the process of sorting a signed permutation to either the identity or to the reversed identity example here: we perform an average case analysis of a sorting algorithm from computational genomics by generating function analysis of a family of trees. Motivation: a computational genomics problem

  3. Neurocomputing 69 (2006) 10621065 Dependence of the spike-triggered average voltage on

    E-Print Network [OSTI]

    Gerstner, Wulfram

    2006-01-01T23:59:59.000Z

    .V. All rights reserved. Keywords: Spike-triggered voltage; h-current; Damped voltage oscillations 1 oscillations. The model comprises a variable v for the membrane voltage, with time-scale tv and a secondNeurocomputing 69 (2006) 10621065 Dependence of the spike-triggered average voltage on membrane

  4. Micro-engineered first wall tungsten armor for high average power laser fusion energy systems

    E-Print Network [OSTI]

    Ghoniem, Nasr M.

    Micro-engineered first wall tungsten armor for high average power laser fusion energy systems is developing an inertial fusion energy demonstration power reactor with a solid first wall chamber. The first is a coordinated effort to develop laser inertial fusion energy [1]. The first stage of the HAPL program

  5. WAVELET ESTIMATION IN HOMOMORPHIC DOMAIN BY SPECTRAL AVERAGING, FOR DECONVOLUTION OF SEISMIC DATA

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    WAVELET ESTIMATION IN HOMOMORPHIC DOMAIN BY SPECTRAL AVERAGING, FOR DECONVOLUTION OF SEISMIC DATA M In geophysics, a homomorphic system is used to modelize the convolution of an emitted wavelet (source) with the impulse response of the earth into the sum of the log spectra of the wavelet and the earth's response

  6. Seasonal Variation in Monthly Average Air Change Rates Using Passive Tracer Gas Measurements

    E-Print Network [OSTI]

    Hansen, Ren Rydhof

    of indoor air pollution sources. Concurrently, great efforts are made to make buildings energy efficient 1970s, while less attention has been paid to IAQ. Insufficient venting of indoor air pollutantsSeasonal Variation in Monthly Average Air Change Rates Using Passive Tracer Gas Measurements Marie

  7. Asymptotic scaling corrections in QCD with Wilson fermions from the 3-loop average plaquette

    E-Print Network [OSTI]

    B. Alles; A. Feo; H. Panagopoulos

    1998-01-23T23:59:59.000Z

    We calculate the 3-loop perturbative expansion of the average plaquette in lattice QCD with N_f massive Wilson fermions and gauge group SU(N). The corrections to asymptotic scaling in the corresponding energy scheme are also evaluated. We have also improved the accuracy of the already known pure gluonic results at 2 and 3 loops.

  8. Climate Projections Using Bayesian Model Averaging and Space-Time Dependence

    E-Print Network [OSTI]

    Haran, Murali

    Climate Projections Using Bayesian Model Averaging and Space-Time Dependence K. Sham Bhat, Murali Haran, Adam Terando, and Klaus Keller. Abstract Projections of future climatic changes are a key input to the design of climate change mitiga- tion and adaptation strategies. Current climate change projections

  9. Plio-Pleistocene time-averaged field in southern Patagonia recorded in lava flows

    E-Print Network [OSTI]

    Singer, Bradley S.

    Plio-Pleistocene time-averaged field in southern Patagonia recorded in lava flows V. Mejia and N. D of 53 lava flows from southern Patagonia (latitudes 49.5°­52.1°S) that include the Pali-Aike volcanic, 7 figures, 3 tables. Keywords: paleomagnetic secular variation; Patagonia; Pali-Aike Volcanic Field

  10. POLYMER END-GROUP ANALYSIS: THE DETERMINATION OF AVERAGE MOLECULAR WEIGHT

    E-Print Network [OSTI]

    Weston, Ken

    POLYMER END-GROUP ANALYSIS: THE DETERMINATION OF AVERAGE MOLECULAR WEIGHT Background reading. 11. Skoog, West, Holler and Crouch, 7th ed., Chap. 14. Introduction Polymers Polymers are a special in this experiment, or may be of different types. Polymers are very important in biological systems. For example

  11. Is Average Run Length to False Alarm Always an Informative Criterion?

    E-Print Network [OSTI]

    Mei, Yajun

    applications, including statistical process control (SPC), industrial quality control, target or signal- point detection. A partial list includes cumulative sum (CUSUM), Shewhart's control chart, exponentially-weighted moving average (EWMA) charts, Shiyayev-Roberts proce- dures, window-limited control charts, and scan

  12. Average Consensus in the Presence of Delays in Directed Graph Topologies

    E-Print Network [OSTI]

    Hadjicostis, Christoforos

    @kth.se. #12;directed interconnection topology (digraph). The objective of a consensus problem is to have all values that the nodes initially posses (initial values). When the agents (asymptotically) reach agreement shown in [4] that, under a fixed interconnection topology, average consensus can be reached

  13. ILP and Iterative LP Solutions for Peak and Average Power Optimization in HLS

    E-Print Network [OSTI]

    Ramanujam, J. "Ram"

    . Ramanujam2 1 Electrical Engineering Dept., Assiut University, Egypt 2 Electrical and Computer Engineering as average power and energy consumptions. As the design problem becomes large, exact solution takes-flow graph (DFG) executes. We define Scheduling for Low Power and Energy (SLoPE) in high-level synthesis

  14. Effects of nuclear structure on average angular momentum in subbarrier fusion

    E-Print Network [OSTI]

    A. B. Balantekin; J. R. Bennett; S. Kuyucak

    1994-07-21T23:59:59.000Z

    We investigate the effects of nuclear quadrupole and hexadecapole couplings on the average angular momentum in sub-barrier fusion reactions. This quantity could provide a probe for nuclear shapes, distinguishing between prolate vs. oblate quadrupole and positive vs. negative hexadecapole couplings. We describe the data in the O + Sm system and discuss heavier systems where shape effects become more pronounced.

  15. Development of a high average current polarized electron source with long cathode operational lifetime

    SciTech Connect (OSTI)

    C. K. Sinclair; P. A. Adderley; B. M. Dunham; J. C. Hansknecht; P. Hartmann; M. Poelker; J. S. Price; P. M. Rutt; W. J. Schneider; M. Steigerwald

    2007-02-01T23:59:59.000Z

    Substantially more than half of the electromagnetic nuclear physics experiments conducted at the Continuous Electron Beam Accelerator Facility of the Thomas Jefferson National Accelerator Facility (Jefferson Laboratory) require highly polarized electron beams, often at high average current. Spin-polarized electrons are produced by photoemission from various GaAs-based semiconductor photocathodes, using circularly polarized laser light with photon energy slightly larger than the semiconductor band gap. The photocathodes are prepared by activation of the clean semiconductor surface to negative electron affinity using cesium and oxidation. Historically, in many laboratories worldwide, these photocathodes have had short operational lifetimes at high average current, and have often deteriorated fairly quickly in ultrahigh vacuum even without electron beam delivery. At Jefferson Lab, we have developed a polarized electron source in which the photocathodes degrade exceptionally slowly without electron emission, and in which ion back bombardment is the predominant mechanism limiting the operational lifetime of the cathodes during electron emission. We have reproducibly obtained cathode 1/e dark lifetimes over two years, and 1/e charge density and charge lifetimes during electron beam delivery of over 2?105???C/cm2 and 200 C, respectively. This source is able to support uninterrupted high average current polarized beam delivery to three experimental halls simultaneously for many months at a time. Many of the techniques we report here are directly applicable to the development of GaAs photoemission electron guns to deliver high average current, high brightness unpolarized beams.

  16. Seminario de Estadstica e Investigacin Operativa "Tree, web and average web value for

    E-Print Network [OSTI]

    Tradacete, Pedro

    Seminario de Estadstica e Investigacin Operativa "Tree, web and average web value for cycle solution concepts, called web values, are introduced axiomatically, each one with respect to some specific recursive algorithms to calculate them. Additionally the efficiency and stability of web values are studied

  17. Simultaneous Power Fluctuation and Average Power Minimization during Nano-CMOS Behavioral Synthesis

    E-Print Network [OSTI]

    Mohanty, Saraju P.

    Simultaneous Power Fluctuation and Average Power Minimization during Nano-CMOS Behavioral Synthesis for the reduction of total power and power fluctuation dur- ing behavioral synthesis. We consider resources of dual component library which is then used during behavioral synthesis. The formulated multi-objective cost

  18. Why should I recycle? The average American generates 4.5 pounds of waste daily.

    E-Print Network [OSTI]

    Tsien, Roger Y.

    Why should I recycle? The average American generates 4.5 pounds of waste daily. Instead of throwing paper and containers in the trash,recycle them in single-stream receptacles conveniently located throughout campus.These guidelines will help you recycle more and waste less. What's recyclable? Mixed

  19. S79JUNE 2006STATE OFTHE CLIMATE IN 2005 | FIG. 6.28. European average temperature anomalies

    E-Print Network [OSTI]

    ­90 average. Romania and Bulgaria received significant rainfall excesses during the year, with August totals above average in Romania (Fig. 6.29). A warm January, with areas of eastern Ukraine more than 5°C above

  20. New determination of the D0?K??+?0 and D0?K??+?+?? coherence factors and average strong-phase differences

    SciTech Connect (OSTI)

    Libby, J.; Malde, S.; Powell, A.; Wilkinson, G.; Asner, David M.; Bonvicini, Giovanni; Briere, R. A.; Gershon, T.; Naik, P.; Pedlar, Todd K.; Rademacker, J.; Ricciardi, S.; Thomas, C.

    2014-07-14T23:59:59.000Z

    New determination of the D0!K?!+!0 and D0!K?!+!+!? coherence factors and average strong-phase differences

  1. Two-stage epitaxial growth of vertically-aligned SnO2 nano-rods on(001) ceria

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

    Solovyov, Vyacheslav F. [Brookhaven National Lab. (BNL), Upton, NY (United States); Wu, Li-jun [Brookhaven National Lab. (BNL), Upton, NY (United States); Rupich, Martin W. [American Superconductor, Devens, MA (United States); Sathyamurthy, Srivatsan [American Superconductor, Devens, MA (United States); Li, Xiaoping [American Superconductor, Devens, MA (United States); Li, Qiang [Brookhaven National Lab. (BNL), Upton, NY (United States)

    2014-12-01T23:59:59.000Z

    Growth of high-aspect ratio oriented tin oxide, SnO2, nano-rods is complicated by a limited choice of matching substrates. We show that a (001) cerium oxide, CeO2, surface uniquely enables epitaxial growth of tin-oxide nano-rods via a two-stage process. First, (100) oriented nano-wires coat the ceria surface by lateral growth, forming a uniaxially-textured SnO2 deposit. Second, vertical SnO2nano-rods nucleate on the deposit by homoepitaxy. We demonstrate growth of vertically oriented 1-2 ?m long nano-rods with an average diameter of ?20 nm.

  2. Grazing on regeneration sites encourages pine seedling growth. Forest Service research paper (Final)

    SciTech Connect (OSTI)

    Ratliff, R.D.; Denton, R.G.

    1995-12-31T23:59:59.000Z

    Effects of season-long, deferred-rotation, and rest-rotation grazing, on ponderosa pine (Pinus ponderosa Dougl. ex Laws.) seedling growth and herbaceous vegetation control were studied in regeneration sites at Boyd Hill, Modoc National Forest, California. Seedlings were planted in 1989. Pine seedling survival and damage did not differ, but the seedlings were significantly taller, with longer leaders with season-long grazing than without grazing. Treatment comparisons for plant group and non-plant percent cover differed only for litter and bare soil, but cover and composition of bottlebrush squirreltail (Elymus elymoides (Raf.) Swezey) were greater without grazing.

  3. Renormalization, averaging, conservation laws and AdS (in)stability

    E-Print Network [OSTI]

    Ben Craps; Oleg Evnin; Joris Vanhoof

    2015-01-19T23:59:59.000Z

    We continue our analytic investigations of non-linear spherically symmetric perturbations around the anti-de Sitter background in gravity-scalar field systems, and focus on conservation laws restricting the (perturbatively) slow drift of energy between the different normal modes due to non-linearities. We discover two conservation laws in addition to the energy conservation previously discussed in relation to AdS instability. A similar set of three conservation laws was previously noted for a self-interacting scalar field in a non-dynamical AdS background, and we highlight the similarities of this system to the fully dynamical case of gravitational instability. The nature of these conservation laws is best understood through an appeal to averaging methods which allow one to derive an effective Lagrangian or Hamiltonian description of the slow energy transfer between the normal modes. The conservation laws in question then follow from explicit symmetries of this averaged effective theory.

  4. A Kalman-filter bias correction of ozone deterministic, ensemble-averaged, and probabilistic forecasts

    SciTech Connect (OSTI)

    Monache, L D; Grell, G A; McKeen, S; Wilczak, J; Pagowski, M O; Peckham, S; Stull, R; McHenry, J; McQueen, J

    2006-03-20T23:59:59.000Z

    Kalman filtering (KF) is used to postprocess numerical-model output to estimate systematic errors in surface ozone forecasts. It is implemented with a recursive algorithm that updates its estimate of future ozone-concentration bias by using past forecasts and observations. KF performance is tested for three types of ozone forecasts: deterministic, ensemble-averaged, and probabilistic forecasts. Eight photochemical models were run for 56 days during summer 2004 over northeastern USA and southern Canada as part of the International Consortium for Atmospheric Research on Transport and Transformation New England Air Quality (AQ) Study. The raw and KF-corrected predictions are compared with ozone measurements from the Aerometric Information Retrieval Now data set, which includes roughly 360 surface stations. The completeness of the data set allowed a thorough sensitivity test of key KF parameters. It is found that the KF improves forecasts of ozone-concentration magnitude and the ability to predict rare events, both for deterministic and ensemble-averaged forecasts. It also improves the ability to predict the daily maximum ozone concentration, and reduces the time lag between the forecast and observed maxima. For this case study, KF considerably improves the predictive skill of probabilistic forecasts of ozone concentration greater than thresholds of 10 to 50 ppbv, but it degrades it for thresholds of 70 to 90 ppbv. Moreover, KF considerably reduces probabilistic forecast bias. The significance of KF postprocessing and ensemble-averaging is that they are both effective for real-time AQ forecasting. KF reduces systematic errors, whereas ensemble-averaging reduces random errors. When combined they produce the best overall forecast.

  5. A gradient system on the quantum information space realizing the averaged learning equation of Hebb type

    E-Print Network [OSTI]

    Yoshio Uwano; Hiromi Yuya

    2009-12-17T23:59:59.000Z

    The averaged learning equation (ALEH) applicable to the principal component analyzer is studied from both quantum information geometry and dynamical system viewpoints. On the quantum information space (QIS), the space of regular density matrices endowed with the quantum SLD-Fisher metric, a gradient system is given as an extension of the ALEH; on the submanifold, consisting of the diagonal matrices, of the QIS, the gradient flow coincides with the ALEH up to a local diffeomorphism.

  6. Using Utility Bills and Average Daily Energy Consumption to Target Commissioning Efforts and Track Building Performance

    E-Print Network [OSTI]

    Sellers, D.

    2001-01-01T23:59:59.000Z

    Using Utility Bills and Average Daily Energy Consumption to Target Commissioning Efforts and Track Building Performance By: David Sellers, Senior Engineer, Portland Energy Conservation Inc, Portland, Oregon ABSTRACT This paper discusses using basic... by contacting the author at: Dsellers@peci.org www.peci.org Phone: - 503-248-4636 extension 224 Mailing address through August 3, 2001 Portland Energy Conservation, Inc. 921 SW Washington Street Suite 312 Portland, Oregon 97205 Mailing address after August 3...

  7. Average balance equations, scale dependence, and energy cascade for granular materials

    E-Print Network [OSTI]

    Riccardo Artoni; Patrick Richard

    2015-03-09T23:59:59.000Z

    A new averaging method linking discrete to continuum variables of granular materials is developed and used to derive average balance equations. Its novelty lies in the choice of the decomposition between mean values and fluctuations of properties which takes into account the effect of gradients. Thanks to a local homogeneity hypothesis, whose validity is discussed, simplified balance equations are obtained. This original approach solves the problem of dependence of some variables on the size of the averaging domain obtained in previous approaches which can lead to huge relative errors (several hundred percentages). It also clearly separates affine and nonaffine fields in the balance equations. The resulting energy cascade picture is discussed, with a particular focus on unidirectional steady and fully developed flows for which it appears that the contact terms are dissipated locally unlike the kinetic terms which contribute to a nonlocal balance. Application of the method is demonstrated in the determination of the macroscopic properties such as volume fraction, velocity, stress, and energy of a simple shear flow, where the discrete results are generated by means of discrete particle simulation.

  8. Average discharge rate representation of voice onset time in the chinchilla auditory nerve

    SciTech Connect (OSTI)

    Sinex, D.G.; McDonald, L.P.

    1988-05-01T23:59:59.000Z

    Responses of chinchilla auditory-nerve fibers to synthesized stop consonants differing in voice onset time (VOT) were obtained. The syllables, heard as /ga/--/ka/ or /da/--/ta/, were similar to those previously used by others in psychophysical experiments with human and with chinchilla subjects. Average discharge rates of neurons tuned to the frequency region near the first formant generally increased at the onset of voicing, for VOTs longer than 20 ms. These rate increases were closely related to spectral amplitude changes associated with the onset of voicing and with the activation of the first formant; as a result, they provided accurate information about VOT. Neurons tuned to frequency regions near the second and third formants did not encode VOT in their average discharge rates. Modulations in the average rates of these neurons reflected spectral variations that were independent of VOT. The results are compared to other measurements of the peripheral encoding of speech sounds and to psychophysical observations suggesting that syllables with large variations in VOT are heard as belonging to one of only two phonemic categories.

  9. Condensed tannin concentration of cotton, Gossypium hirsutum L., as affected by planting date, population density, stage of growth and plant part sampled

    E-Print Network [OSTI]

    Lege, Ken Edward

    1990-01-01T23:59:59.000Z

    different. In 1989 planting date 2 averaged significantly higher condensed tannins than PD 1 or 3 (Table 3). The biological significance of this observation is unclear. Condensed tannin content of the TL and ML averaged over all other factors...). 17 Table 4. Condensed tannin content of cotton for 5 stages of growth, averaged over 3 planting dates, 6 genotypes, 2 plant parts and 2 years at College Station, TX. Stage of growth Condensed tannin fresh wt. 4th true leaf (4TL) Pinhead square...

  10. Growth of chrysanthemums in sewage sludge amended media

    E-Print Network [OSTI]

    Schlutt, Edward Frederick

    1979-01-01T23:59:59.000Z

    1979 ABSTRACT Growth of Chrysanthemums in Sewage Sludge Amended Media. (December 1979) Edwaz d Fnedez ick Schlutt, Jr . B. S. , Texas AFN University Chairman of Advisory Committee: Dr. Everett R. Emino Chr santhemum morifolium cv. 'Bz ight Golden... porosity, total postharvest porosity, non-capillazy pore space, pre- harvest pH and postharvest pH in sewage sludge amended peat-perlite media. 40 TABLE 14. Average heavy metal content in 100% sewage sludge (ug/gm) . 42 TABLE 16. Zinc content (ug/gm...

  11. Exploration of the multiparameter space of nanosecond-laser damage growth in fused silica optics

    SciTech Connect (OSTI)

    Negres, Raluca A.; Liao, Zhi M.; Abdulla, Ghaleb M.; Cross, David A.; Norton, Mary A.; Carr, Christopher W.

    2011-08-01T23:59:59.000Z

    Historically, the rate at which laser-induced damage sites grow on the exit surface of SiO{sub 2} optics under subsequent illumination with nanosecond-laser pulses of any wavelength was believed to depend solely on laser fluence. We demonstrate here that much of the scatter in previous growth observations was due to additional parameters that were not previously known to affect growth rate, namely the temporal pulse shape and the size of a site. Furthermore, the remaining variability observed in the rate at which sites grow is well described in terms of Weibull statistics. The effects of site size and laser fluence may both be expressed orthogonally in terms of Weibull coefficients. In addition, we employ a clustering algorithm to explore the multiparameter growth space and expose average growth trends. Conversely, this analysis approach also identifies sites likely to exhibit growth rates outside the norm. The ability to identify which sites are likely to grow abnormally fast in advance of the manifestation of such behavior will significantly enhance the accuracy of predictive models over those based on average growth behaviors.

  12. Method and system for modulation of gain suppression in high average power laser systems

    DOE Patents [OSTI]

    Bayramian, Andrew James (Manteca, CA)

    2012-07-31T23:59:59.000Z

    A high average power laser system with modulated gain suppression includes an input aperture associated with a first laser beam extraction path and an output aperture associated with the first laser beam extraction path. The system also includes a pinhole creation laser having an optical output directed along a pinhole creation path and an absorbing material positioned along both the first laser beam extraction path and the pinhole creation path. The system further includes a mechanism operable to translate the absorbing material in a direction crossing the first laser beam extraction laser path and a controller operable to modulate the second laser beam.

  13. Limit Distribution of Averages over Unstable Periodic Orbits Forming Chaotic Attractor

    E-Print Network [OSTI]

    Denis S. Goldobin

    2012-08-08T23:59:59.000Z

    We address the question of representativeness of a single long unstable periodic orbit for properties of the chaotic attractor it is embedded in. Y. Saiki and M. Yamada [Phys. Rev. E 79, 015201(R) (2009)] have recently suggested the hypothesis that there exist a limit distribution of averages over unstable periodic orbits with given number of loops, N, which is not a Dirac delta-function for infinitely long orbits. In this paper we show that the limit distribution is actually a delta-function and standard deviations decay as 1/sqrt(N) for large enough N.

  14. High Average Power Laser Gain Medium With Low Optical Distortion Using A Transverse Flowing Liquid Host

    DOE Patents [OSTI]

    Comaskey, Brian J. (Walnut Creek, CA); Ault, Earl R. (Livermore, CA); Kuklo, Thomas C. (Oakdale, CA)

    2005-07-05T23:59:59.000Z

    A high average power, low optical distortion laser gain media is based on a flowing liquid media. A diode laser pumping device with tailored irradiance excites the laser active atom, ion or molecule within the liquid media. A laser active component of the liquid media exhibits energy storage times longer than or comparable to the thermal optical response time of the liquid. A circulation system that provides a closed loop for mixing and circulating the lasing liquid into and out of the optical cavity includes a pump, a diffuser, and a heat exchanger. A liquid flow gain cell includes flow straighteners and flow channel compression.

  15. Fact #615: March 22, 2010 Average Vehicle Trip Length | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport in RepresentativeDepartment of EnergyEnergy 5: March 22, 2010 Average

  16. Average household expected to save $675 at the pump in 2015

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment ActivitiesAge Refining Air1,D O E /drivers toAverage

  17. Table 10. Average Price of U.S. Steam Coal Exports

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910. Average Price

  18. Table 12. Average Price of U.S. Metallurgical Coal Exports

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910. Average

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30. Total6. Average

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30. Total6. Average.

  1. "Table E8.1. Average Prices of Selected Purchased Energy Sources, 1998;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal"1" "Shell1. Average Prices of

  2. "Table E8.2. Average Prices of Selected Purchased Energy Sources, 1998;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal"1" "Shell1. Average Prices

  3. ,"U.S. Reformulated, Average Refiner Gasoline Prices"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventional Gasoline Sales toReformulated, Average Refiner Gasoline Prices" ,"Click

  4. Crystalline Ice Growth on Pt(111) and Pd(111): Nonwetting Growth...

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

    Crystalline Ice Growth on Pt(111) and Pd(111): Nonwetting Growth on a Hydrophobic Water Monolayer. Crystalline Ice Growth on Pt(111) and Pd(111): Nonwetting Growth on a Hydrophobic...

  5. Averages of B-Hadron, C-Hadron, and tau-lepton properties as of early 2012

    SciTech Connect (OSTI)

    Amhis, Y.; et al.

    2012-07-01T23:59:59.000Z

    This article reports world averages of measurements of b-hadron, c-hadron, and tau-lepton properties obtained by the Heavy Flavor Averaging Group (HFAG) using results available through the end of 2011. In some cases results available in the early part of 2012 are included. For the averaging, common input parameters used in the various analyses are adjusted (rescaled) to common values, and known correlations are taken into account. The averages include branching fractions, lifetimes, neutral meson mixing parameters, CP violation parameters, parameters of semileptonic decays and CKM matrix elements.

  6. Fact #851: December 15, 2014 The Average Number of Gears used in Transmissions Continues to Rise Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #851: December 15, 2014 The Average Number of Gears used in Transmissions Continues to Rise

  7. Conditional averaging on volumetric velocity fields for analysis of the pseudo-periodic organization of jet-in-crossflow vortices

    E-Print Network [OSTI]

    Cambonie, Tristan

    2014-01-01T23:59:59.000Z

    Volumetric velocimetry measurements have been performed on a round jet in crossflow (JICF). Two kind of conditional averaging process are presented : a global conditional average (GCA) and a local conditional average (LCA). Vortices crossing the JICF symmetry plane are used to quantify the jet pseudo-periodicity leading to the GCA and LCA definitions. Because they make possible to improve the velocity field resolution as well as to significantly reduce the experimental noise, these conditional averages are an interesting and efficient way to study the instantaneous swirling structures of this instantaneous flow.

  8. Normal Growth of Range Cattle.

    E-Print Network [OSTI]

    Lush, Jay L. (Jay Laurence)

    1930-01-01T23:59:59.000Z

    of surplus stock unless home-grown supplemental feed is cheap and abundant or the price to be obtained for the cattle the following spring is much higher per pound than can be had in the fall. Fall sale also lessens the danger of over-grazing in the late... of growth. Naturally the feed supply is the first thing considered as a cause of growth and it is the cause which is usually most nearly under control. Diseases or minor differences in health are just as obvious in controlling growth as are changes...

  9. Growth machine theory: a qualitative analysis

    E-Print Network [OSTI]

    Smith, Gavin Paul

    1993-01-01T23:59:59.000Z

    of land inherent in growth machine theory, does not necessarily result in a dialectic, win-lose situation. Furthermore, it is argued that the growth coalition may not always ado t a unidimensional roach to development where further growth...

  10. Statistical Model Analysis of (n,p) Cross Sections and Average Energy For Fission Neutron Spectrum

    SciTech Connect (OSTI)

    Odsuren, M.; Khuukhenkhuu, G. [Nuclear Research Center, National University of Mongolia, Ulaanbaatar (Mongolia)

    2011-06-28T23:59:59.000Z

    Investigation of charged particle emission reaction cross sections for fast neutrons is important to both nuclear reactor technology and the understanding of nuclear reaction mechanisms. In particular, the study of (n,p) cross sections is necessary to estimate radiation damage due to hydrogen production, nuclear heating and transmutations in the structural materials of fission and fusion reactors. On the other hand, it is often necessary in practice to evaluate the neutron cross sections of the nuclides for which no experimental data are available.Because of this, we carried out the systematical analysis of known experimental (n,p) and (n,a) cross sections for fast neutrons and observed a systematical regularity in the wide energy interval of 6-20 MeV and for broad mass range of target nuclei. To explain this effect using the compound, pre-equilibrium and direct reaction mechanisms some formulae were deduced. In this paper, in the framework of the statistical model known experimental (n,p) cross sections averaged over the thermal fission neutron spectrum of U-235 are analyzed. It was shown that the experimental data are satisfactorily described by the statistical model. Also, in the case of (n,p) cross sections the effective average neutron energy for fission spectrum of U-235 was found to be around 3 MeV.

  11. A Multi-chain Measurements Averaging TDC Implemented in a 40 nm FPGA

    E-Print Network [OSTI]

    Qi Shen; Shubin Liu; Binxiang Qi; Qi An; Shengkai Liao; Chengzhi Peng; Weiyue Liu

    2014-06-15T23:59:59.000Z

    A high precision and high resolution time-to-digital converter (TDC) implemented in a 40 nm fabrication process Virtex-6 FPGA is presented in this paper. The multi-chain measurements averaging architecture is used to overcome the resolution limitation determined by intrinsic cell delay of the plain single tapped-delay chain. The resolution and precision are both improved with this architecture. In such a TDC, the input signal is connected to multiple tapped-delay chains simultaneously (the chain number is M), and there is a fixed delay cell between every two adjacent chains. Each tapped-delay chain is just a plain TDC and should generate a TDC time for a hit input signal, so totally M TDC time values should be got for a hit signal. After averaging, the final TDC time is obtained. A TDC with 3 ps resolution (i.e. bin size) and 6.5 ps precision (i.e. RMS) has been implemented using 8 parallel tapped-delay chains. Meanwhile the plain TDC with single tapped-delay chain yields 24 ps resolution and 18 ps precision.

  12. Assimilation, distribution, and losses of p14 sC-labeled photosynthate as affected by lateral branches and three ontogenetic stages of growth

    E-Print Network [OSTI]

    Brittin, Carolyn Louise

    1985-01-01T23:59:59.000Z

    of growth: mid-grain filling (MGF), ohysiological maturity (PM), and two-weeks post physiological maturity (PPN). PN 14 was determined as the time when the lowest kernels on the head had reached black layer. One plant was pulse-labeled in each... it is expected that a large portion of the assimilates from this leaf would be transported to the grain during grain 21 Table 1. Percent of the total assimilated C02 in parts at 14 3 ontogenetic stages of growth. Ontogenetic Stage Plant Part MGF PM PPM + S...

  13. Bacterial Growth H. L. Smith

    E-Print Network [OSTI]

    Smith, Hal

    Bacterial Growth H. L. Smith 1 Simple Models Bacteria are the dominant form of life on the planet the concentration of the nutrient in the media (grams/liter) and N(t) de

  14. Vermont Employment Growth Incentive (Vermont)

    Broader source: Energy.gov [DOE]

    The purpose of the Employment Growth Incentive (VEGI) is to encourage job creation in Vermont by a Vermont company, a Vermont division of a company that plans to grow and expand in Vermont, a...

  15. Inequality and Growth: Why Differential Fertility Matters

    E-Print Network [OSTI]

    de la Croix, David; Doepke, Matthias

    2001-01-01T23:59:59.000Z

    Barro, Robert J. 2000. Inequality and Growth in a Panel of125. Benabou, Roland. 1996. Inequality and Growth. NBER1996. Measuring Income Inequality: A New Database.

  16. Coastal Dynamics 2013 A 3-D PHASE-AVERAGED MODEL FOR SHALLOW WATER FLOW WITH WAVES IN

    E-Print Network [OSTI]

    US Army Corps of Engineers

    Coastal Dynamics 2013 1915 A 3-D PHASE-AVERAGED MODEL FOR SHALLOW WATER FLOW WITH WAVES in coastal vegetated waters with short waves. The model adopts the 3-D phase-averaged shallow water flow mesh in the vertical direction. The flow model is coupled with a spectral wave deformation model called

  17. IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 50, NO. 9, SEPTEMBER 2002 1535 Error Statistics for Average Power Measurements in

    E-Print Network [OSTI]

    Wei, Shuangqing

    for Average Power Measurements in Wireless Communication Systems Shuangqing Wei, Student Member, IEEE, and Dennis L. Goeckel, Member, IEEE Abstract--The measurement of the average received power is essential for power control and dynamic channel allocation in wireless communication systems. However, due

  18. New bounds on the average distance from the Fermat-Weber center of a planar convex body

    E-Print Network [OSTI]

    Dumitrescu, Adrian

    New bounds on the average distance from the Fermat-Weber center of a planar convex body Adrian Dumitrescu Minghui Jiang Csaba D. T´oth March 14, 2011 Abstract The Fermat-Weber center of a planar body Q that for any convex body Q in the plane, the average distance from the Fermat-Weber center of Q to the points

  19. Pulsed laser deposition with a high average power free electron laser: Benefits of subpicosecond pulses with high repetition rate

    E-Print Network [OSTI]

    Reilly, Anne

    Pulsed laser deposition with a high average power free electron laser: Benefits of subpicosecond average power Thomas Jefferson National Accelerator Facility Free Electron Laser. The combination of the free electron laser leads to very different plasma emission and produces films with high quality

  20. Probabilistic Quantitative Precipitation Forecasting Using Bayesian Model Averaging J. MCLEAN SLOUGHTER, ADRIAN E. RAFTERY, TILMANN GNEITING, AND CHRIS FRALEY

    E-Print Network [OSTI]

    Raftery, Adrian

    Probabilistic Quantitative Precipitation Forecasting Using Bayesian Model Averaging J. MCLEAN SLOUGHTER, ADRIAN E. RAFTERY, TILMANN GNEITING, AND CHRIS FRALEY Department of Statistics, University of precipitation (PoP) forecasts using this approach. Bayesian model averaging (BMA) was introduced by Raftery et

  1. Angular Averaged Profiling of the Radial Electric Field in Compensated FTICR Cells

    SciTech Connect (OSTI)

    Tolmachev, Aleksey V.; Robinson, Errol W.; Wu, Si; Smith, Richard D.; Futrell, Jean H.; Pasa-Tolic, Ljiljana

    2012-05-08T23:59:59.000Z

    A recent publication from this laboratory (1) reported a theoretical analysis comparing approaches for creating harmonic ICR cells. We considered two examples of static segmented cells - namely, a seven segment cell developed in this laboratory (2) and one described by Rempel et al (3), along with a recently described dynamically harmonized cell (4). This conceptual design for a dynamically harmonized cell has now been reduced to practice and first experimental results obtained with this cell were recently reported in this journal (5). This publication reports details of cell construction and describes its performance in a 7 Tesla Fourier Transform mass spectrometer. Herein, we describe the extension of theoretical analysis presented in (1) to include angular-averaged radial electric field calculations and a discussion of the influence of trapping plates.

  2. Average Neutron Total Cross Sections in the Unresolved Energy Range From ORELA High Resolutio Transmission Measurements

    SciTech Connect (OSTI)

    Derrien, H

    2004-05-27T23:59:59.000Z

    Average values of the neutron total cross sections of {sup 233}U, {sup 235}U, {sup 238}U, and {sup 239}Pu have been obtained in the unresolved resonance energy range from high-resolution transmission measurements performed at ORELA in the past two decades. The cross sections were generated by correcting the effective total cross sections for the self-shielding effects due to the resonance structure of the data. The self-shielding factors were found by calculating the effective and true cross sections with the computer code SAMMY for the same Doppler and resolution conditions as for the transmission measurements, using an appropriate set of resonance parameters. Our results are compared to results of previous measurements and to the current ENDF/B-VI data.

  3. Measurement of average density and relative volumes in a dispersed two-phase fluid

    DOE Patents [OSTI]

    Sreepada, Sastry R. (Clifton Park, NY); Rippel, Robert R. (late of Scotia, NY)

    1992-01-01T23:59:59.000Z

    An apparatus and a method are disclosed for measuring the average density and relative volumes in an essentially transparent, dispersed two-phase fluid. A laser beam with a diameter no greater than 1% of the diameter of the bubbles, droplets, or particles of the dispersed phase is directed onto a diffraction grating. A single-order component of the diffracted beam is directed through the two-phase fluid and its refraction is measured. Preferably, the refracted beam exiting the fluid is incident upon a optical filter with linearly varing optical density and the intensity of the filtered beam is measured. The invention can be combined with other laser-based measurement systems, e.g., laser doppler anemometry.

  4. Average and recommended half-life values for two neutrino double beta decay: Upgrade-2013

    SciTech Connect (OSTI)

    Barabash, A. S. [Institute of Theoretical and Experimental Physics, B. Cheremushkinskaya 25, 117218 Moscow (Russian Federation)

    2013-12-30T23:59:59.000Z

    All existing positive results on two neutrino double beta decay in different nuclei were analyzed. Using the procedure recommended by the Particle Data Group, weighted average values for half-lives of {sup 48}Ca, {sup 76}Ge, {sup 82}Se, {sup 96}Zr, {sup 100}Mo, {sup 100}Mo?{sup 100}Ru (0{sub 1}{sup +}), {sup 116}Cd, {sup 130}Te, {sup 136}Xe, {sup 150}Nd, {sup 150}Nd?{sup 150}Sm (0{sub 1}{sup +}) and {sup 238}U were obtained. Existing geochemical data were analyzed and recommended values for half-lives of {sup 128}Te and {sup 130}Ba are proposed. I recommend the use of these results as the most currently reliable values for half-lives.

  5. Flowmeter for determining average rate of flow of liquid in a conduit

    DOE Patents [OSTI]

    Kennerly, J.M.; Lindner, G.M.; Rowe, J.C.

    1981-04-30T23:59:59.000Z

    This invention is a compact, precise, and relatively simple device for use in determining the average rate of flow of a liquid through a conduit. The liquid may be turbulent and contain bubbles of gas. In a preferred embodiment, the flowmeter includes an electrical circuit and a flow vessel which is connected as a segment of the conduit conveying the liquid. The vessel is provided with a valved outlet and is partitioned by a vertical baffle into coaxial chambers whose upper regions are vented to permit the escape of gas. The inner chamber receives turbulent downflowing liquid from the conduit and is sized to operate at a lower pressure than the conduit, thus promoting evolution of gas from the liquid. Lower zones of the two chambers are interconnected so that the downflowing liquid establishes liquid levels in both chambers. The liquid level in the outer chamber is comparatively calm, being to a large extent isolated from the turbulence in the inner chamber once the liquid in the outer chamber has risen above the liquid-introduction zone for that chamber. Lower and upper probes are provided in the outer chamber for sensing the liquid level therein at points above its liquid-introduction zone. An electrical circuit is connected to the probes to display the time required for the liquid level in the outer chamber to successively contact the lower and upper probes. The average rate of flow through the conduit can be determined from the above-mentioned time and the vessel volume filled by the liquid during that time.

  6. Flowmeter for determining average rate of flow of liquid in a conduit

    DOE Patents [OSTI]

    Kennerly, John M. (Knoxville, TN); Lindner, Gordon M. (Oak Ridge, TN); Rowe, John C. (Oak Ridge, TN)

    1982-01-01T23:59:59.000Z

    This invention is a compact, precise, and relatively simple device for use in determining the average rate of flow of a liquid through a conduit. The liquid may be turbulent and contain bubbles of gas. In a preferred embodiment, the flowmeter includes an electrical circuit and a flow vessel which is connected as a segment of the conduit conveying the liquid. The vessel is provided with a valved outlet and is partitioned by a vertical baffle into coaxial chambers whose upper regions are vented to permit the escape of gas. The inner chamber receives turbulent downflowing liquid from the conduit and is sized to operate at a lower pressure than the conduit, thus promoting evolution of gas from the liquid. Lower zones of the two chambers are interconnected so that the downflowing liquid establishes liquid levels in both chambers. The liquid level in the outer chamber is comparatively calm, being to a large extent isolated from the turbulence in the inner chamber once the liquid in the outer chamber has risen above the liquid-introduction zone for that chamber. Lower and upper probes are provided in the outer chamber for sensing the liquid level therein at points above its liquid-introduction zone. An electrical circuit is connected to the probes to display the time required for the liquid level in the outer chamber to successively contact the lower and upper probes. The average rate of flow through the conduit can be determined from the above-mentioned time and the vessel volume filled by the liquid during that time.

  7. Global latitudinal-asymmetric vegetation growth trends and their driving mechanisms: 1982-2009

    SciTech Connect (OSTI)

    Mao, Jiafu [ORNL; Shi, Xiaoying [ORNL; Thornton, Peter E [ORNL; Hoffman, Forrest M [ORNL; Zhu, Zaichun [Boston University; Myneni, Ranga B. [Boston University

    2013-01-01T23:59:59.000Z

    Using a recent Leaf Area Index (LAI) dataset and the Community Land Model version 4 (CLM4), we investigate percent changes and controlling factors of global vegetation growth for the period 1982 to 2009. Over that 28-year period, both the remote-sensing estimate and model simulation show a significant increasing trend in annual vegetation growth. Latitudinal asymmetry appeared in both products, with small increases in the Southern Hemisphere (SH) and larger increases at high latitudes in the Northern Hemisphere (NH). The south-to-north asymmetric land surface warming was assessed to be the principal driver of this latitudinal asymmetry of LAI trend. Heterogeneous precipitation functioned to decrease this latitudinal LAI gradient, and considerably regulated the local LAI change. CO2 fertilization during the last three decades, was simulated to be the dominant cause for the enhanced vegetation growth. Our study, though limited by observational and modeling uncertainties, adds further insight into vegetation growth trends and environmental correlations. These validation exercises also provide new quantitative and objective metrics for evaluation of land ecosystem process models at multiple spatio-temporal scales.

  8. Economic Growth and Development Economics 777

    E-Print Network [OSTI]

    Almor, Amit

    Economic Growth and Development Economics 777 July 18, 2008 Fall Semester 2008 Professor J. H. Mc of economic growth and development. We will analyze several different growth models and look at some recent empirical research. Text The text for this course is: Economic Growth (2nd Edition) by Robert J. Barro

  9. Soil type: Metabasic soils have 50 to 80 percent more mineralizable C than granitic soils. The same soils appear to more efficiently retain TN and some TOC at greater depths. Very low DOC in both soils indicate efficient C utilization and incorporation in

    E-Print Network [OSTI]

    Norton, Jay B.

    Soil type: Metabasic soils have 50 to 80 percent more mineralizable C than granitic soils. The same indicate efficient C utilization and incorporation in microbial or SOM pools. Greater mineral N in granite percent. There is not evidence of the impact of increased available C on TOC in granitic soils. Soil

  10. Appendix A

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    4. Oil and gas supply Production and supply Reference case Annual growth 2012-2040 (percent) 2011 2012 2020 2025 2030 2035 2040 Crude oil Lower 48 average wellhead price 1 (2012...

  11. Establishment, growth and water use of Quercus virginiana (Mill.) on lignite surface-mined soils in response to irrigation

    E-Print Network [OSTI]

    Duncan, Jacalyn E.

    1991-01-01T23:59:59.000Z

    1 percent slope and an aspect of 95'. The plot location is at latitude 30'35'N and longitude 96 06'W at an elevation of 85 meters. The study site is in the Post Oak Savannah region of Texas which is characterized by gently rolling to hilly... applied to 12 live oak seedlings on reclaimed lignite surface-mined soils in central Texas as a means to study the physiology and growth of seedlings during establishment. The study period was 4 July 1990 through 30 September 1990. Transpiration...

  12. Nonlinear structural crack growth monitoring

    DOE Patents [OSTI]

    Welch, Donald E. (Oak Ridge, TN); Hively, Lee M. (Philadelphia, TN); Holdaway, Ray F. (Clinton, TN)

    2002-01-01T23:59:59.000Z

    A method and apparatus are provided for the detection, through nonlinear manipulation of data, of an indicator of imminent failure due to crack growth in structural elements. The method is a process of determining energy consumption due to crack growth and correlating the energy consumption with physical phenomena indicative of a failure event. The apparatus includes sensors for sensing physical data factors, processors or the like for computing a relationship between the physical data factors and phenomena indicative of the failure event, and apparatus for providing notification of the characteristics and extent of such phenomena.

  13. Digital electronic bone growth stimulator

    DOE Patents [OSTI]

    Kronberg, J.W.

    1995-05-09T23:59:59.000Z

    A device is described for stimulating bone tissue by applying a low level alternating current signal directly to the patient`s skin. A crystal oscillator, a binary divider chain and digital logic gates are used to generate the desired waveforms that reproduce the natural electrical characteristics found in bone tissue needed for stimulating bone growth and treating osteoporosis. The device, powered by a battery, contains a switch allowing selection of the correct waveform for bone growth stimulation or osteoporosis treatment so that, when attached to the skin of the patient using standard skin contact electrodes, the correct signal is communicated to the underlying bone structures. 5 figs.

  14. Digital electronic bone growth stimulator

    DOE Patents [OSTI]

    Kronberg, James W. (Aiken, SC)

    1995-01-01T23:59:59.000Z

    A device for stimulating bone tissue by applying a low level alternating current signal directly to the patient's skin. A crystal oscillator, a binary divider chain and digital logic gates are used to generate the desired waveforms that reproduce the natural electrical characteristics found in bone tissue needed for stimulating bone growth and treating osteoporosis. The device, powered by a battery, contains a switch allowing selection of the correct waveform for bone growth stimulation or osteoporosis treatment so that, when attached to the skin of the patient using standard skin contact electrodes, the correct signal is communicated to the underlying bone structures.

  15. Area-preserving maps models of gyro-averaged ${\\bf E} \\times {\\bf B}$ chaotic transport

    E-Print Network [OSTI]

    J. D. da Fonseca; D. del-Castillo-Negrete; I. L. Caldas

    2014-09-10T23:59:59.000Z

    Discrete maps have been extensively used to model 2-dimensional chaotic transport in plasmas and fluids. Here we focus on area-preserving maps describing finite Larmor radius (FLR) effects on ${\\bf E} \\times {\\bf B}$ chaotic transport in magnetized plasmas with zonal flows perturbed by electrostatic drift waves. FLR effects are included by gyro-averaging the Hamiltonians of the maps which, depending on the zonal flow profile, can have monotonic or non-monotonic frequencies. In the limit of zero Larmor radius, the monotonic frequency map reduces to the standard Chirikov-Taylor map, and, in the case of non-monotonic frequency, the map reduces to the standard nontwist map. We show that in both cases FLR leads to chaos suppression, changes in the stability of fixed points, and robustness of transport barriers. FLR effects are also responsible for changes in the phase space topology and zonal flow bifurcations. Dynamical systems methods based on recurrence time statistics are used to quantify the dependence on the Larmor radius of the threshold for the destruction of transport barriers.

  16. Optimal Heisenberg-style bounds for the average performance of arbitrary phase estimates

    E-Print Network [OSTI]

    Dominic W. Berry; Michael J. W. Hall; Marcin Zwierz; Howard M. Wiseman

    2012-11-19T23:59:59.000Z

    The ultimate bound to the accuracy of phase estimates is often assumed to be given by the Heisenberg limit. Recent work seemed to indicate that this bound can be violated, yielding measurements with much higher accuracy than was previously expected. The Heisenberg limit can be restored as a rigorous bound to the accuracy provided one considers the accuracy averaged over the possible values of the unknown phase, as we have recently shown [Phys. Rev. A 85, 041802(R) (2012)]. Here we present an expanded proof of this result together with a number of additional results, including the proof of a previously conjectured stronger bound in the asymptotic limit. Other measures of the accuracy are examined, as well as other restrictions on the generator of the phase shifts. We provide expanded numerical results for the minimum error and asymptotic expansions. The significance of the results claiming violation of the Heisenberg limit is assessed, followed by a detailed discussion of the limitations of the Cramer-Rao bound.

  17. Design and component specifications for high average power laser optical systems

    SciTech Connect (OSTI)

    O'Neil, R.W.; Sawicki, R.H.; Johnson, S.A.; Sweatt, W.C.

    1987-01-01T23:59:59.000Z

    Laser imaging and transport systems are considered in the regime where laser-induced damage and/or thermal distortion have significant design implications. System design and component specifications are discussed and quantified in terms of the net system transport efficiency and phase budget. Optical substrate materials, figure, surface roughness, coatings, and sizing are considered in the context of visible and near-ir optical systems that have been developed at Lawrence Livermore National Laboratory for laser isotope separation applications. In specific examples of general applicability, details of the bulk and/or surface absorption, peak and/or average power damage threshold, coating characteristics and function, substrate properties, or environmental factors will be shown to drive the component size, placement, and shape in high-power systems. To avoid overstressing commercial fabrication capabilities or component design specifications, procedures will be discussed for compensating for aberration buildup, using a few carefully placed adjustable mirrors. By coupling an aggressive measurements program on substrates and coatings to the design effort, an effective technique has been established to project high-power system performance realistically and, in the process, drive technology developments to improve performance or lower cost in large-scale laser optical systems. 13 refs.

  18. Method for the evaluation of a average glandular dose in mammography

    SciTech Connect (OSTI)

    Okunade, Akintunde Akangbe [Obafemi Awolowo University, Ile-Ife, Osun State (Nigeria)

    2006-04-15T23:59:59.000Z

    This paper concerns a method for accurate evaluation of average glandular dose (AGD) in mammography. At different energies, the interactions of photons with tissue are not uniform. Thus, optimal accuracy in the estimation of AGD is achievable when the evaluation is carried out using the normalized glandular dose values, g(x,E), that are determined for each (monoenergetic) x-ray photon energy, E, compressed breast thickness (CBT), x, breast glandular composition, and data on photon energy distribution of the exact x-ray beam used in breast imaging. A generalized model for the values of g(x,E) that is for any arbitrary CBT ranging from 2 to 9 cm (with values that are not whole numbers inclusive, say, 4.2 cm) was developed. Along with other dosimetry formulations, this was integrated into a computer software program, GDOSE.FOR, that was developed for the evaluation of AGD received from any x-ray tube/equipment (irrespective of target-filter combination) of up to 50 kVp. Results are presented which show that the implementation of GDOSE.FOR yields values of normalized glandular dose that are in good agreement with values obtained from methodologies reported earlier in the literature. With the availability of a portable device for real-time acquisition of spectra, the model and computer software reported in this work provide for the routine evaluation of AGD received by a specific woman of known age and CBT.

  19. Dynamical interpretation of average fission-fragment kinetic energy systematics and nuclear scission

    SciTech Connect (OSTI)

    Nadtochy, P.N. [GSI, Plankstrasse 1, D-64291 Darmstadt (Germany); Omsk State University, Department of Theoretical Physics, Mira Prospect 55-A, RU-644077 Omsk (Russian Federation); Adeev, G.D. [Omsk State University, Department of Theoretical Physics, Mira Prospect 55-A, RU-644077 Omsk (Russian Federation)

    2005-11-01T23:59:59.000Z

    A dynamical interpretation of the well-known systematics for average total kinetic energy of fission fragments over a wide range of the Coulomb parameter (600 on the Coulomb parameter. The results of dynamical calculations of within three-dimensional Langevin dynamics show that the mean distance between the centers of mass of nascent fragments at the scission configuration increases linearly with the parameter Z{sup 2}/A{sup 1/3}. This distance changes approximately from 2.35R{sub 0} for {sup 119}Xe to 2.6R{sub 0} for {sup 256}Fm. In spite of this increase in mean distance between future fragments at scission, the linear dependence of on the parameter Z{sup 2}/A{sup 1/3} remains approximately valid over a wide range of the Coulomb parameter Z{sup 2}/A{sup 1/3}.

  20. Comparison of Two Gas Selection Methodologies: An Application of Bayesian Model Averaging

    SciTech Connect (OSTI)

    Renholds, Andrea S.; Thompson, Sandra E.; Anderson, Kevin K.; Chilton, Lawrence K.

    2006-03-31T23:59:59.000Z

    One goal of hyperspectral imagery analysis is the detection and characterization of plumes. Characterization includes identifying the gases in the plumes, which is a model selection problem. Two gas selection methods compared in this report are Bayesian model averaging (BMA) and minimum Akaike information criterion (AIC) stepwise regression (SR). Simulated spectral data from a three-layer radiance transfer model were used to compare the two methods. Test gases were chosen to span the types of spectra observed, which exhibit peaks ranging from broad to sharp. The size and complexity of the search libraries were varied. Background materials were chosen to either replicate a remote area of eastern Washington or feature many common background materials. For many cases, BMA and SR performed the detection task comparably in terms of the receiver operating characteristic curves. For some gases, BMA performed better than SR when the size and complexity of the search library increased. This is encouraging because we expect improved BMA performance upon incorporation of prior information on background materials and gases.

  1. Study of the relationship between indoor daylight environments and patient average length of stay (ALOS) in healthcare facilities

    E-Print Network [OSTI]

    Choi, Joon Ho

    2007-04-25T23:59:59.000Z

    This study investigates how indoor daylight environments affect patient Average Length of Stay (ALOS), by evaluating and analyzing daylight levels in patient rooms in comparison to their ALOS. The patient ALOS data were taken at one general hospital...

  2. Notes on Well-Posed, Ensemble Averaged Conservation Equations for Multiphase, Multi-Component, and Multi-Material Flows

    SciTech Connect (OSTI)

    Ray A. Berry

    2005-07-01T23:59:59.000Z

    At the INL researchers and engineers routinely encounter multiphase, multi-component, and/or multi-material flows. Some examples include: Reactor coolant flows Molten corium flows Dynamic compaction of metal powders Spray forming and thermal plasma spraying Plasma quench reactor Subsurface flows, particularly in the vadose zone Internal flows within fuel cells Black liquor atomization and combustion Wheat-chaff classification in combine harvesters Generation IV pebble bed, high temperature gas reactor The complexity of these flows dictates that they be examined in an averaged sense. Typically one would begin with known (or at least postulated) microscopic flow relations that hold on the small scale. These include continuum level conservation of mass, balance of species mass and momentum, conservation of energy, and a statement of the second law of thermodynamics often in the form of an entropy inequality (such as the Clausius-Duhem inequality). The averaged or macroscopic conservation equations and entropy inequalities are then obtained from the microscopic equations through suitable averaging procedures. At this stage a stronger form of the second law may also be postulated for the mixture of phases or materials. To render the evolutionary material flow balance system unique, constitutive equations and phase or material interaction relations are introduced from experimental observation, or by postulation, through strict enforcement of the constraints or restrictions resulting from the averaged entropy inequalities. These averaged equations form the governing equation system for the dynamic evolution of these mixture flows. Most commonly, the averaging technique utilized is either volume or time averaging or a combination of the two. The flow restrictions required for volume and time averaging to be valid can be severe, and violations of these restrictions are often found. A more general, less restrictive (and far less commonly used) type of averaging known as ensemble averaging can also be used to produce the governing equation systems. In fact volume and time averaging can be viewed as special cases of ensemble averaging. Ensemble averaging is beginning to gain some notice, for example the general-purpose multi-material flow simulation code CFDLib under continuing developed at the Los Alamos National Laboratory [Kashiwa and Rauenzahn 1994] is based on an ensemble averaged formulation. The purpose of this short note is to give an introduction to the ensemble averaging methodology and to show how ensemble averaged balance equations and entropy inequality can be obtained from the microscopic balances. It then details some seven-equation, two-pressure, two-velocity hyperbolic, well-posed models for two-phase flows. Lastly, a simple example is presented of a model in which the flow consists of two barotropic fluids with no phase change in which an equilibrium pressure equation is obtained in the spirit of pressure-based methods of computational fluid dynamics.

  3. EDUCATING THE NEXT GENERATION More than 25 percent of graduate students, 21 percent of undergraduates and 50 percent of

    E-Print Network [OSTI]

    Bittner, Eric R.

    in fields spanning biology and biochemistry, kinesiology, psychology, mathematics, pharmacy, nutrition, biomedical engineering, pharmacy, optometry, computer science and computational physiology. PROMOTING INNOVATION The Center for Nuclear Receptors and Cell Signaling, led by world-renowned researcher Jan

  4. The effects of Bio-Mos on lamb growth and immune function

    E-Print Network [OSTI]

    Thayne, Jeffrey Thomas

    2009-05-15T23:59:59.000Z

    infections could limit growth and feed efficiency (Gustafson and Bowen, 1997). The use of antibiotics for prophylaxis is utilized within the industry, however these methods differ from products that are associated with changing ruminal fermentation.... It provides an economic benefit in terms of feed efficiency (an average 7.5% improvement; Goodrich et al., 1984), at least partly via its effect on ruminal fermentation (Wallace, 1994). Several other ionophores have been identified that provide similar...

  5. Spatial distribution of average charge state and deposition rate in high power impulse magnetron sputtering of copper

    SciTech Connect (OSTI)

    Anders, Andre; Horwat, David; Anders, Andre

    2008-05-10T23:59:59.000Z

    The spatial distribution of copper ions and atoms in high power impulse magnetron sputtering (HIPIMS) discharges was determined by (i) measuring the ion current to electrostatic probes and (ii) measuring the film thickness by profilometry. A set of electrostatic and collection probes were placed at different angular positions and distances from the target surface. The angular distribution of the deposition rate and the average charge state of the copper species (including ions and neutrals) were deduced.The discharge showed a distinct transition to a high current mode dominated by copper self-sputtering when the applied voltage exceeded the threshold of 535 V. For a lower voltage, the deposition rate was very low and the average charge state was found to be less than 0.4. For higher voltage (and average power), the absolute deposition rates were much higher, but they were smaller than the corresponding direct current (DC) rates if normalized to the same average power. At the high voltage level, the spatial distribution of the average charge state showed some similarities with the distribution of the magnetic field, suggesting that the generation and motion of copper ions is affected by magnetized electrons. At higher voltage, the average charge state increases with the distance from the target and locally may exceed unity, indicating the presence of significant amounts of doubly charged copper ions.

  6. SBA Growth Accelerator Fund Competition

    Broader source: Energy.gov [DOE]

    The U.S. Small Business Administration (SBA) is accepting applications for the Growth Accelerator Fund Competition to identify the nation's innovative accelerators and similar organizations and award them cash prizes they may use to fund their operations costs and allow them to bring startup competitions to scale and new ideas to life.

  7. The effect of averaging adjacent planes for artifact reduction in matrix inversion tomosynthesis

    SciTech Connect (OSTI)

    Godfrey, Devon J. [Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina 27705 (United States); Page McAdams, H. [Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, Durham, North Carolina 27705 (United States); Dobbins, James T. III [Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Department of Biomedical Engineering, Department of Physics, and Medical Physics Graduate Program, Duke University Medical Center, Durham, North Carolina 27705 (United States)

    2013-02-15T23:59:59.000Z

    Purpose: Matrix inversion tomosynthesis (MITS) uses linear systems theory and knowledge of the imaging geometry to remove tomographic blur that is present in conventional backprojection tomosynthesis reconstructions, leaving in-plane detail rendered clearly. The use of partial-pixel interpolation during the backprojection process introduces imprecision in the MITS modeling of tomographic blur, and creates low-contrast artifacts in some MITS planes. This paper examines the use of MITS slabs, created by averaging several adjacent MITS planes, as a method for suppressing partial-pixel artifacts. Methods: Human chest tomosynthesis projection data, acquired as part of an IRB-approved pilot study, were used to generate MITS planes, three-plane MITS slabs (MITSa3), five-plane MITS slabs (MITSa5), and seven-plane MITS slabs (MITSa7). These were qualitatively examined for partial-pixel artifacts and the visibility of normal and abnormal anatomy. Additionally, small (5 mm) subtle pulmonary nodules were simulated and digitally superimposed upon human chest tomosynthesis projection images, and their visibility was qualitatively assessed in the different reconstruction techniques. Simulated images of a thin wire were used to generate modulation transfer function (MTF) and slice-sensitivity profile curves for the different MITS and MITS slab techniques, and these were examined for indications of partial-pixel artifacts and frequency response uniformity. Finally, mean-subtracted, exposure-normalized noise power spectra (ENNPS) estimates were computed and compared for MITS and MITS slab reconstructions, generated from 10 sets of tomosynthesis projection data of an acrylic slab. The simulated in-plane MTF response of each technique was also combined with the square root of the ENNPS estimate to yield stochastic signal-to-noise ratio (SNR) information about the different reconstruction techniques. Results: For scan angles of 20 Degree-Sign and 5 mm plane separation, seven MITS planes must be averaged to sufficiently remove partial-pixel artifacts. MITSa7 does appear to subtly reduce the contrast of high-frequency 'edge' information, but the removal of partial-pixel artifacts makes the appearance of low-contrast, fine-detail anatomy even more conspicuous in MITSa7 slices. MITSa7 also appears to render simulated subtle 5 mm pulmonary nodules with greater visibility than MITS alone, in both the open lung and regions overlying the mediastinum. Finally, the MITSa7 technique reduces stochastic image variance, though the in-plane stochastic SNR (for very thin objects which do not span multiple MITS planes) is only improved at spatial frequencies between 0.05 and 0.20 cycles/mm. Conclusions: The MITSa7 method is an improvement over traditional single-plane MITS for thoracic imaging and the pulmonary nodule detection task, and thus the authors plan to use the MITSa7 approach for all future MITS research at the authors' institution.

  8. The Cutaneous Epidermal Growth Factor Network: Can it be Translated Clinically to Stimulate Hair Growth?

    E-Print Network [OSTI]

    Alexandrescu, Doru T; Kauffman, C Lisa; Dasanu, Constantin A

    2009-01-01T23:59:59.000Z

    of epidermal growth factor on hair growth in the mouse. Jstem cell character in hair follicles. Science. 2006;312:Notch signalling pathway in hair growth. Mech Dev. 1998;78:

  9. ACHIEVING CALIFORNIA'S 33 PERCENT RENEWABLE PORTFOLIO

    E-Print Network [OSTI]

    affect estimated overall costs and risks associated with alternate portfolios of generating resources........................................................................................................ 1 Chapter 2: Using the Capital asset pricing model approach to estimate the market price referent ...... system costs and, importantly, examine cost/risk interrelationships associated with this mandate

  10. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel Ethanol0

  11. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel Ethanol02

  12. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel Ethanol026

  13. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel Ethanol0268

  14. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel

  15. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel2

  16. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel24 Delaware

  17. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel24 Delaware6

  18. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel24

  19. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel240 Georgia

  20. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel240 Georgia4

  1. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel240

  2. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel2408

  3. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel24080

  4. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel240802 Iowa

  5. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel240802 Iowa4

  6. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel240802

  7. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel2408028

  8. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel24080280

  9. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel240802802

  10. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel2408028024

  11. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel24080280246

  12. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel240802802468

  13. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department

  14. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri - Natural

  15. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri - Natural4

  16. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -

  17. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -8 Nevada

  18. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -8 Nevada0

  19. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -8

  20. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -84 New