Sample records for rse naics residual

  1. RSE Wind | Open Energy Information

    Open Energy Info (EERE)

    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 on Office of Inspector GeneralDepartmentAUDIT REPORTOpenWende New EnergyAnatolia Jump to: navigation, searchRRB EnergyRSE

  2. Profils des entreprises en matire de RSE et innovation technologique

    E-Print Network [OSTI]

    Boyer, Edmond

    la nature de la relation entre la Responsabilité Sociale des Entreprises (RSE) et l'innovation : Innovation, PME, Responsabilité Sociale des Entreprises (RSE) Rachel BOCQUET - Caroline MOTHE hal-00950166 : Corporate Social Responsibility (CSR), Innovation, SME's hal-00950166,version1-25Feb2014 #12;3 Introduction

  3. North American Industry Classification System (NAICS) Search Tool

    Broader source: Energy.gov [DOE]

    The North American Industry Classification System (NAICS) is the standard used by Federal statistical agencies in classifying business establishments for the purpose of collecting, analyzing, and...

  4. NAICS Codes @ Headquarters | Department of Energy

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

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen OwnedofDepartment ofJaredOak Ridge’s EM programA listing of NAICS codes used

  5. Une analyse des liens entre types de Green IT et stratgies RSE

    E-Print Network [OSTI]

    Boyer, Edmond

    : France (2013)" #12;ABSTRACT This communication addresses the issue of the adoption of green technologiesUne analyse des liens entre types de Green IT et stratégies RSE An analysis of links between Green/INSTEAD (Luxembourg), CREM R?SUM? Cette communication aborde la question de l'adoption des technologies vertes ou

  6. Manufacturing Energy and Carbon Footprint - Sector: Alumina and Aluminum (NAICS 3313), January 2014 (MECS 2010)

    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 on Delicious RankCombustion | Department of Energy Low-TemperatureEnergyAll Manufacturing (NAICS 31-33)

  7. Manufacturing Energy and Carbon Footprint - Sector: Chemicals (NAICS 325), January 2014 (MECS 2010)

    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 on Delicious RankCombustion | Department of Energy Low-TemperatureEnergyAll Manufacturing (NAICS

  8. Manufacturing Energy and Carbon Footprint - Sector: All Manufacturing (NAICS 31-33), January 2014 (MECS 2010)

    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 on Delicious RankCombustion | Department of Energy Low-TemperatureEnergyAll Manufacturing (NAICS 31-33) Process

  9. Manufacturing Energy and Carbon Footprint - Sector: Cement (NAICS 327310), January 2014 (MECS 2010)

    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 on Delicious RankCombustion | Department of Energy Low-TemperatureEnergyAll Manufacturing (NAICS 31-33)Cement

  10. Manufacturing Energy and Carbon Footprint - Sector: Food and Beverage (NAICS 311, 312), January 2014 (MECS 2010)

    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 on Delicious RankCombustion | Department of Energy Low-TemperatureEnergyAll ManufacturingFood and Beverage (NAICS

  11. 2003 CBECS RSE Tables

    Gasoline and Diesel Fuel Update (EIA)

    Dec 2006 Next CBECS will be conducted in 2007 Standard error is a measure of the reliability or precision of the survey statistic. The value for the standard error can be used...

  12. 2003 CBECS RSE Tables

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion Cubic Feet)WyomingSquareEnd-Use Equipment 2002

  13. Fusion Residues

    E-Print Network [OSTI]

    Kenneth Intriligator

    1991-08-19T23:59:59.000Z

    We discuss when and how the Verlinde dimensions of a rational conformal field theory can be expressed as correlation functions in a topological LG theory. It is seen that a necessary condition is that the RCFT fusion rules must exhibit an extra symmetry. We consider two particular perturbations of the Grassmannian superpotentials. The topological LG residues in one perturbation, introduced by Gepner, are shown to be a twisted version of the $SU(N)_k$ Verlinde dimensions. The residues in the other perturbation are the twisted Verlinde dimensions of another RCFT; these topological LG correlation functions are conjectured to be the correlation functions of the corresponding Grassmannian topological sigma model with a coupling in the action to instanton number.

  14. ,"U.S. Adjusted Sales of Residual Fuel Oil by End Use"

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPriceDryCoalbedCrude OilShaleResidual Fuel

  15. NAICS Codes Description:

    Energy Savers [EERE]

    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 on Office of Inspector General Office0-72.pdfGeorgeDoesn't32Department ofMoving AwayAvailability ofMy Trip toUSECodes

  16. Top NAICS Codes

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism in Layered NbS2 andThe1A:decisional. 1Energy Thomas

  17. The French codes RCC-M and RSE-M -- Design, construction and in-service inspection rules for the mechanical components of PWR nuclear islands: An overview and a comparison to the ASME codes

    SciTech Connect (OSTI)

    Journet, J.; Masson, S.H.; Morel, A.; Remond, A.; Grandemange, J.M.

    1995-12-01T23:59:59.000Z

    The RCC-M, ``Regles de Conception et de Construction des Materiels Mecaniques des Ilots Nucleaires REP`` or, in English, ``Design and Construction Rules for the Mechanical Components of PWR Nuclear Islands`` and the RSE-M, ``Regles de Surveillance en Exploitation des Materiels Mecaniques des Ilots Nucleaires REP`` or, in English, ``In-Service Inspection Rules for the Mechanical Components of PWR Nuclear Islands`` gather all design, construction and operating practices relating to the mechanical components of French PWR nuclear islands. This paper is a presentation of these two codes. Throughout this presentation the specific aspects of the French approach will be underlined and will be compared to that of the ASME codes--mainly Section 3 and Section 11. The broad general technical scopes of the French codes are similar to those of the ASME codes. However, in some important areas of design, material specifications, procurement and manufacturing, the provisions of the RCC-M and RSE-M deviate from those of a strict mechanical Code and are more self-sustaining than those of ASME.

  18. Characteristics RSE Column Factor: Total

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998 10,643 10,998 10,998 10,64397 272 522. U.S. Vehicles by Model1.

  19. SRC Residual fuel oils

    DOE Patents [OSTI]

    Tewari, Krishna C. (Whitehall, PA); Foster, Edward P. (Macungie, PA)

    1985-01-01T23:59:59.000Z

    Coal solids (SRC) and distillate oils are combined to afford single-phase blends of residual oils which have utility as fuel oils substitutes. The components are combined on the basis of their respective polarities, that is, on the basis of their heteroatom content, to assure complete solubilization of SRC. The resulting composition is a fuel oil blend which retains its stability and homogeneity over the long term.

  20. Residuals, Sludge, and Composting (Maine)

    Broader source: Energy.gov [DOE]

    The Maine Department of Environmental Protection's Residuals, Sludge, and Composting program regulates the land application and post-processing of organic wastes, including sewage sludge, septage,...

  1. Chemical Characterization of Individual Particles and Residuals...

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

    Individual Particles and Residuals of Cloud Droplets and Ice Crystals Collected On Board Research Chemical Characterization of Individual Particles and Residuals of Cloud Droplets...

  2. Intemodal Equipment Ron Sucik RSE Consulting

    E-Print Network [OSTI]

    Bustamante, Fabián E.

    Constitution with exclusive charge of the operations, administration, management, preservation, maintenance. BAF ­ Bunker Adjustment Factor: Additional charge levied on the shippers to compensate: A warehouse or other specialized building, often with refrigeration or air conditioning, which is used

  3. Characteristics RSE Column Factor: All Vehicle Types

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998 10,643 10,998 10,998 10,64397 272 522. U.S. Vehicles by Model

  4. DISSOLUTION OF NEPTUNIUM OXIDE RESIDUES

    SciTech Connect (OSTI)

    Kyser, E

    2009-01-12T23:59:59.000Z

    This report describes the development of a dissolution flowsheet for neptunium (Np) oxide (NpO{sub 2}) residues (i.e., various NpO{sub 2} sources, HB-Line glovebox sweepings, and Savannah River National Laboratory (SRNL) thermogravimetric analysis samples). Samples of each type of materials proposed for processing were dissolved in a closed laboratory apparatus and the rate and total quantity of off-gas were measured. Samples of the off-gas were also analyzed. The quantity and type of solids remaining (when visible) were determined after post-dissolution filtration of the solution. Recommended conditions for dissolution of the NpO{sub 2} residues are: Solution Matrix and Loading: {approx}50 g Np/L (750 g Np in 15 L of dissolver solution), using 8 M nitric acid (HNO{sub 3}), 0.025 M potassium fluoride (KF) at greater than 100 C for at least 3 hours. Off-gas: Analysis of the off-gas indicated nitric oxide (NO), nitrogen dioxide (NO{sub 2}) and nitrous oxide (N{sub 2}O) as the only identified components. No hydrogen (H{sub 2}) was detected. The molar ratio of off-gas produced per mole of Np dissolved ranged from 0.25 to 0.4 moles of gas per mole of Np dissolved. A peak off-gas rate of {approx}0.1 scfm/kg bulk oxide was observed. Residual Solids: Pure NpO{sub 2} dissolved with little or no residue with the proposed flowsheet but the NpCo and both sweepings samples left visible solid residue after dissolution. For the NpCo and Part II Sweepings samples the residue amounted to {approx}1% of the initial material, but for the Part I Sweepings sample, the residue amounted to {approx}8 % of the initial material. These residues contained primarily aluminum (Al) and silicon (Si) compounds that did not completely dissolve under the flowsheet conditions. The residues from both sweepings samples contained minor amounts of plutonium (Pu) particles. Overall, the undissolved Np and Pu particles in the residues were a very small fraction of the total solids.

  5. Transforms for prediction residuals in video coding

    E-Print Network [OSTI]

    Kam??l?, Fatih

    2010-01-01T23:59:59.000Z

    Typically the same transform, the 2-D Discrete Cosine Transform (DCT), is used to compress both image intensities in image coding and prediction residuals in video coding. Major prediction residuals include the motion ...

  6. Process to recycle shredder residue

    DOE Patents [OSTI]

    Jody, Bassam J. (Chicago, IL); Daniels, Edward J. (Oak Lawn, IL); Bonsignore, Patrick V. (Channahon, IL)

    2001-01-01T23:59:59.000Z

    A system and process for recycling shredder residue, in which separating any polyurethane foam materials are first separated. Then separate a fines fraction of less than about 1/4 inch leaving a plastics-rich fraction. Thereafter, the plastics rich fraction is sequentially contacted with a series of solvents beginning with one or more of hexane or an alcohol to remove automotive fluids; acetone to remove ABS; one or more of EDC, THF or a ketone having a boiling point of not greater than about 125.degree. C. to remove PVC; and one or more of xylene or toluene to remove polypropylene and polyethylene. The solvents are recovered and recycled.

  7. Good-Bye, SIC - Hello, NAICS

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs U.S.WyomingExpansion 5Wellhead99.6Year Jan6 441

  8. " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End

  9. " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1. Enclosed

  10. " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1. Enclosed3 Number

  11. " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1. Enclosed3

  12. " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1. Enclosed33

  13. " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1. Enclosed339.1

  14. " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1. Enclosed339.19.1

  15. " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1.24 Number2468143

  16. Residual stress patterns in steel welds

    SciTech Connect (OSTI)

    Spooner, S.; Hubbard, C.R.; Wang, X.L.; David, S.A.; Holden, T.M. [Oak Ridge National Lab., TN (United States); Root, J.H.; Swainson, I. [Atomic Energy of Canada Ltd., Chalk River, ON (Canada)

    1994-12-31T23:59:59.000Z

    Neutron strain scanning of residual stress is a valuable nondestructive tool for evaluation of residual stress in welds. The penetrating characteristic of neutrons permits mapping of strain patterns with a spatial resolution approaching 1mm at depths of 20mm in steels. While the overall patterns of the residual stress tensor in a weld are understood, the detailed patterns depend on welding process parameters and the effects of solid state transformation. The residual strain profiles in two multi-pass austenitic welds and a ferritic steel weld are presented. The stress-free lattice parameters within the fusion zone and the adjacent heat affected zone in the two austenitic welds show that the interpretation of residual stress from strains are affected by welding parameters. An interpretation of the residual strain pattern in the ferritic steel plate can be made using the strain measurements of a Gleeble test bar which has undergone the solid state austenite decomposition.

  17. Residual Toxicities of Insecticides to Cotton Insects.

    E-Print Network [OSTI]

    Hightower, B. G.; Gaines, J. C.

    1960-01-01T23:59:59.000Z

    the effects of simulated wind and rain on the residues. Tempera- ture and humidity conditions incident to the holding period were sufficient to destroy most of the residual toxicity of this material. Effect of Simulated Wind Among the chlorinated... hydrocarbon insecticides, there was little difference between the effects of simu- lated wind and rain on residual toxicities. However, it is likely that under field conditions the effects of rain would be more noticeable. Simulated wind was less damaging...

  18. Methods of separating particulate residue streams

    DOE Patents [OSTI]

    Hoskinson, Reed L. (Rigby, ID); Kenney, Kevin L. (Idaho Falls, ID); Wright, Christopher T. (Idaho Falls, ID); Hess, J. Richard (Idaho Falls, ID)

    2011-04-05T23:59:59.000Z

    A particulate residue separator and a method for separating a particulate residue stream may include an air plenum borne by a harvesting device, and have a first, intake end and a second, exhaust end; first and second particulate residue air streams that are formed by the harvesting device and that travel, at least in part, along the air plenum and in a direction of the second, exhaust end; and a baffle assembly that is located in partially occluding relation relative to the air plenum and that substantially separates the first and second particulate residue air streams.

  19. Particulate residue separators for harvesting devices

    SciTech Connect (OSTI)

    Hoskinson, Reed L.; Kenney, Kevin L.; Wright, Christopher T.; Hess, John R.

    2010-06-29T23:59:59.000Z

    A particulate residue separator and a method for separating a particulate residue stream may include a plenum borne by a harvesting device, and have a first, intake end and a second, exhaust end; first and second particulate residue air streams which are formed by the harvesting device and which travel, at least in part, along the plenum and in a direction of the second, exhaust end; and a baffle assembly which is located in partially occluding relation relative to the plenum, and which substantially separates the first and second particulate residue air streams.

  20. Characterization Report on Sand, Slag, and Crucible Residues and on Fluoride Residues

    SciTech Connect (OSTI)

    Murray, A.M.

    1999-02-10T23:59:59.000Z

    This paper reports on the chemical characterization of the sand, slag, and crucible (SS and C) residues and the fluoride residues that may be shipped from the Rocky Flats Environmental Technology Site (RFETS) to Savannah River Site (SRS).

  1. Asymptotics for GARCH Squared Residual Correlations

    E-Print Network [OSTI]

    Kokoszka, Piotr

    Asymptotics for GARCH Squared Residual Correlations Istv'an Berkes \\Lambda A. R'enyi Institute a GARCH(p; q) model. Denoting by ?? r n (k); k ?? 1; these autocorrelations computed from a realization words and phrases: GARCH(p; q) sequence, quasi--maximum likelihood esti­ mator, squared residuals

  2. University of Pittsburgh Residual Funds on

    E-Print Network [OSTI]

    Sibille, Etienne

    University of Pittsburgh Residual Funds on FINANCIAL GUIDELINE Subject: Sponsored Projects I by the sponsor. Funds cannot be unilaterally retained by the University. Failure to return residual funds related funds on sponsored grants and contracts on the financial accounting records of the University

  3. Data Conversion in Residue Number System

    E-Print Network [OSTI]

    Zilic, Zeljko

    for direct conversion when interaction with the real analog world is required. We first develop two efficient schemes for direct analog-to-residue conversion. Another efficient scheme for direct residue analogique réel est nécessaire. Nous dévelopons deux systèmes efficaces pour la conversion directe du domaine

  4. Residual stress in nanocrystalline nickel tungsten electrodeposits

    E-Print Network [OSTI]

    Ziebell, Tiffany D. (Tiffany Dawn)

    2011-01-01T23:59:59.000Z

    Characterizing the residual stress of thick nanocrystalline electrodeposits poses several unique challenges due to their fine grain structure, thickness distribution, and matte surface. We employ a three-dimensional ...

  5. SAR impulse response with residual chirps.

    SciTech Connect (OSTI)

    Doerry, Armin Walter

    2009-06-01T23:59:59.000Z

    A Linear Frequency-Modulated (LFM) chirp is a function with unit amplitude and quadratic phase characteristic. In a focused Synthetic Aperture Radar (SAR) image, a residual chirp is undesired for targets of interest, as it coarsens the manifested resolution. However, for undesired spurious signals, a residual chirp is often advantageous because it spreads the energy and thereby diminishes its peak value. In either case, a good understanding of the effects of a residual LFM chirp on a SAR Impulse Response (IPR) is required to facilitate system analysis and design. This report presents an analysis of the effects of a residual chirp on the IPR. As reference, there is a rich body of publications on various aspects of LFM chirps. A quick search reveals a plethora of articles, going back to the early 1950s. We mention here purely as trivia one of the earlier analysis papers on this waveform by Klauder, et al.

  6. NAICS Codes @ Headquarters Description: NAICS Codes used at Headquarters Procurement Services

    Energy Savers [EERE]

    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 on Delicious RankCombustion |EnergyonSupport0.pdf5 OPAM SEMIANNUAL REPORTMAMayCrossColoradoMotionMunicipalCodes @

  7. ABSTRACT: Bioenergy Harvesting Technologies to Supply Crop Residues...

    Energy Savers [EERE]

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

  8. Sustainable System for Residual Hazards Management

    SciTech Connect (OSTI)

    Kevin M. Kostelnik; James H. Clarke; Jerry L. Harbour

    2004-06-01T23:59:59.000Z

    Hazardous, radioactive and other toxic substances have routinely been generated and subsequently disposed of in the shallow subsurface throughout the world. Many of todays waste management techniques do not eliminate the problem, but rather only concentrate or contain the hazardous contaminants. Residual hazards result from the presence of hazardous and/or contaminated material that remains on-site following active operations or the completion of remedial actions. Residual hazards pose continued risk to humans and the environment and represent a significant and chronic problem that require continuous longterm management (i.e. >1000 years). To protect human health and safeguard the natural environment, a sustainable system is required for the proper management of residual hazards. A sustainable system for the management of residual hazards will require the integration of engineered, institutional and land-use controls to isolate residual contaminants and thus minimize the associated hazards. Engineered controls are physical modifications to the natural setting and ecosystem, including the site, facility, and/or the residual materials themselves, in order to reduce or eliminate the potential for exposure to contaminants of concern (COCs). Institutional controls are processes, instruments, and mechanisms designed to influence human behavior and activity. System failure can involve hazardous material escaping from the confinement because of system degradation (i.e., chronic or acute degradation) or by externalintrusion of the biosphere into the contaminated material because of the loss of institutional control. An ongoing analysis of contemporary and historic sites suggests that the significance of the loss of institutional controls is a critical pathway because decisions made during the operations/remedial action phase, as well as decisions made throughout the residual hazards management period, are key to the longterm success of the prescribed system. In fact, given that society has become more reliant on and confident of engineered controls, there may be a growing tendency to be even less concerned with institutional controls.

  9. BY HOW MUCH CAN RESIDUAL MINIMIZATION ACCELERATE THE CONVERGENCE OF ORTHOGONAL RESIDUAL METHODS?

    E-Print Network [OSTI]

    Gutknecht, Martin H.

    . Examples of such pairs are the conjugate gradient (CG) and the conjugate residual (CR) methods, the full-minimal residual (QMR) methods. Also the pairs consisting of the (bi)conjugate gradient squared (CGS, iterative method, Krylov space method, conjugate gradient method, biconjugate gradient method, CG, CGNE

  10. Residual oil conversion in Ashland FCC Units

    SciTech Connect (OSTI)

    Barger, D.F.; Miller, C.B.

    1983-03-01T23:59:59.000Z

    Ashland Petroleum Company is a production-poor refining and marketing company. A company must have refining flexibility to compete in today's crude and marketing situation. Ashland has adopted a dual approach to achieving the required refining flexibility: development and construction of the RCC process, and development of techniques to practice residual oil conversion in Ashland FCC units. This paper discusses the operating techniques Ashland has used to allow residual oil conversion to be practiced in their present day FCC's and shows some of the yields which have been achieved.

  11. Residual dust charges in discharge afterglow

    SciTech Connect (OSTI)

    Coueedel, L.; Mikikian, M.; Boufendi, L.; Samarian, A. A. [GREMI - Groupe de Recherches sur l'Energetique des Milieux Ionises, CNRS/Universite d'Orleans, 14 rue d'Issoudun, 45067 Orleans Cedex 2 (France); School of Physics A28, University of Sydney, NSW 2006 (Australia)

    2006-08-15T23:59:59.000Z

    An on-ground measurement of dust-particle residual charges in the afterglow of a dusty plasma was performed in a rf discharge. An upward thermophoretic force was used to balance the gravitational force. It was found that positively charged, negatively charged, and neutral dust particles coexisted for more than 1 min after the discharge was switched off. The mean residual charge for 200-nm-radius particles was measured. The dust particle mean charge is about -5e at a pressure of 1.2 mbar and about -3e at a pressure of 0.4 mbar.

  12. Automatic Methods for Predicting Functionally Important Residues

    E-Print Network [OSTI]

    Pazos, Florencio

    Pazos and Alfonso Valencia* Protein Design Group National Center for Biotechnology, Cantoblanco Madrid of protein families into subfamilies in the search for those positions that could have some functional families, testing the statistical meaning of the Tree-determinant residues predicted by three different

  13. Residual Energy Spectrum of Solar Wind Turbulence

    E-Print Network [OSTI]

    Chen, C H K; Salem, C S; Maruca, B A

    2013-01-01T23:59:59.000Z

    It has long been known that the energy in velocity and magnetic field fluctuations in the solar wind is not in equipartition. In this paper, we present an analysis of 5 years of Wind data at 1 AU to investigate the reason for this. The residual energy (difference between energy in velocity and magnetic field fluctuations) was calculated using both the standard magnetohydrodynamic (MHD) normalization for the magnetic field and a kinetic version, which includes temperature anisotropies and drifts between particle species. It was found that with the kinetic normalization, the fluctuations are closer to equipartition, with a mean normalized residual energy of sigma_r = -0.19 and mean Alfven ratio of r_A = 0.71. The spectrum of residual energy, in the kinetic normalization, was found to be steeper than both the velocity and magnetic field spectra, consistent with some recent MHD turbulence predictions and numerical simulations, having a spectral index close to -1.9. The local properties of residual energy and cros...

  14. Chemical Stabilization of Hanford Tank Residual Waste

    SciTech Connect (OSTI)

    Cantrell, Kirk J.; Um, Wooyong; Williams, Benjamin D.; Bowden, Mark E.; Gartman, Brandy N.; Lukens, Wayne W.; Buck, Edgar C.; Mausolf, Edward J.

    2014-03-01T23:59:59.000Z

    Three different chemical treatment methods were tested for their ability to stabilize residual waste from Hanford tank C-202 for reducing contaminant release (Tc, Cr, and U in particular). The three treatment methods tested were lime addition [Ca(OH)2], an in-situ Ceramicrete waste form based on chemically bonded phosphate ceramics, and a ferrous iron/goethite treatment. These approaches rely on formation of insoluble forms of the contaminants of concern (lime addition and ceramicrete) and chemical reduction followed by co-precipitation (ferrous iron/goethite incorporation treatment). The results have demonstrated that release of the three most significant mobile contaminants of concern from tank residual wastes can be dramatically reduced after treatment compared to contact with simulated grout porewater without treatment. For uranium, all three treatments methods reduced the leachable uranium concentrations by well over three orders of magnitude. In the case of uranium and technetium, released concentrations were well below their respective MCLs for the wastes tested. For tank C-202 residual waste, chromium release concentrations were above the MCL but were considerably reduced relative to untreated tank waste. This innovative approach has the potential to revolutionize Hanfords tank retrieval process, by allowing larger volumes of residual waste to be left in tanks while providing an acceptably low level of risk with respect to contaminant release that is protective of the environment and human health. Such an approach could enable DOE to realize significant cost savings through streamlined retrieval and closure operations.

  15. Thin layer chromatography residue applicator sampler

    DOE Patents [OSTI]

    Nunes, Peter J. (Danville, CA); Kelly, Fredrick R. (Modesto, CA); Haas, Jeffrey S. (San Ramon, CA); Andresen, Brian D. (Livermore, CA)

    2007-07-24T23:59:59.000Z

    A thin layer chromatograph residue applicator sampler. The residue applicator sampler provides for rapid analysis of samples containing high explosives, chemical warfare, and other analyses of interest under field conditions. This satisfied the need for a field-deployable, small, hand-held, all-in-one device for efficient sampling, sample dissolution, and sample application to an analytical technique. The residue applicator sampler includes a sampling sponge that is resistant to most chemicals and is fastened via a plastic handle in a hermetically sealed tube containing a known amount of solvent. Upon use, the wetted sponge is removed from the sealed tube and used as a swiping device across an environmental sample. The sponge is then replaced in the hermetically sealed tube where the sample remains contained and dissolved in the solvent. A small pipette tip is removably contained in the hermetically sealed tube. The sponge is removed and placed into the pipette tip where a squeezing-out of the dissolved sample from the sponge into the pipette tip results in a droplet captured in a vial for later instrumental analysis, or applied directly to a thin layer chromatography plate for immediate analysis.

  16. A Practical Model for Mobile, Residual, and Entrapped NAPL in...

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

    A Practical Model for Mobile, Residual, and Entrapped NAPL in Water-Wet Porous Media. A Practical Model for Mobile, Residual, and Entrapped NAPL in Water-Wet Porous Media....

  17. In-situ method for treating residual sodium

    SciTech Connect (OSTI)

    Sherman, Steven R. (Idaho Falls, ID); Henslee, S. Paul (Idaho Falls, ID)

    2005-07-19T23:59:59.000Z

    A unique process for deactivating residual sodium in Liquid Metal Fast Breeder Reactor (LMFBR) systems which uses humidified (but not saturated) carbon dioxide at ambient temperature and pressure to convert residual sodium into solid sodium bicarbonate.

  18. Testing regression models with residuals as data by Xia Hua.

    E-Print Network [OSTI]

    Hua, Xia, Ph. D. Massachusetts Institute of Technology

    2010-01-01T23:59:59.000Z

    Abstract In polynomial regression ... . In this thesis, I developed a residual based test, the turning point test for residuals, which tests the hypothesis that the kth order polynomial regression holds with ... while the ...

  19. NEURAL NETWORK RESIDUAL STOCHASTIC COSIMULATION FOR ENVIRONMENTAL DATA ANALYSIS

    E-Print Network [OSTI]

    on radioactive soil contamination from the Chernobyl fallout. Introduction The problem of analysing environmentalNEURAL NETWORK RESIDUAL STOCHASTIC COSIMULATION FOR ENVIRONMENTAL DATA ANALYSIS V. Demyanov, M original method of stochastic simulation of environmental data -- Neural Network Residual Sequential

  20. In-Situ Method for Treating Residual Sodium

    DOE Patents [OSTI]

    Sherman, Steven R.; Henslee, S. Paul

    2005-07-19T23:59:59.000Z

    A unique process for deactivating residual sodium in Liquid Metal Fast Breeder Reactor (LMFBR) systems which uses humidified (but not saturated) carbon dioxide at ambient temperature and pressure to convert residual sodium into solid sodium bicarbonate.

  1. 1-D Transforms for the Motion Compensation Residual

    E-Print Network [OSTI]

    Kamisli, Fatih

    Transforms used in image coding are also commonly used to compress prediction residuals in video coding. Prediction residuals have different spatial characteristics from images, and it is useful to develop transforms that ...

  2. 2003 Commercial Buildings Energy Consumption - What is an RSE

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

    with some associated error in each direction. The standard error is a measure of the reliability or precision of the survey statistic. The value for the standard error can be used...

  3. 2003 Commercial Buildings Energy Consumption - What is an RSE

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion Cubic Feet)WyomingSquareEnd-Use Equipment 2002Technical2003

  4. Re: NBP RFI: CommunicationRse quirements | Department of Energy

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

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergy 0611__Joint_DOE_GoJ_AMS_Data_v3.pptx More DocumentsCommunications Requirements of

  5. Characteristics RSE Column Factor: All Model Years Model Year

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998 10,643 10,998 10,998 10,64397 272 522. U.S. Vehicles by Model Year,

  6. Characteristics RSE Column Factor: Households with Children Households Without Children

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998 10,643 10,998 10,998 10,64397 272 522. U.S. Vehicles by Model1. U.S.

  7. Bioassays of weathered residues of several organic phosphorus insecticides

    E-Print Network [OSTI]

    Hightower, Billie Gene

    2013-10-04T23:59:59.000Z

    residues on fruit, forage crops, and animals. The effects of temperature, relative humid? ity, light, wind, and simulated rain on the residual toxicities of many of the chlorinated hydrocarbon insecticides used for the control of cotton insects were... humidity. Sunlight was found to be an important factor in reducing the residual effectiveness of dieldrin. Wind and simulated rain reduced the period of residual effectiveness of many of the compounds tested. These investigators have shown...

  8. RESIDUAL STRESS AND YOUNG'S MODULUS MEASUREMENT OF CAPACITIVE MICROMACHINED ULTRASONIC

    E-Print Network [OSTI]

    Khuri-Yakub, Butrus T. "Pierre"

    deposition technique yields residual stress of around 100 MPa and Young's modulus of around 300 GPa. Keywords's modulus, Poisson's ratio, and residual stress of the deposited thin films. In this paper, we propose a newRESIDUAL STRESS AND YOUNG'S MODULUS MEASUREMENT OF CAPACITIVE MICROMACHINED ULTRASONIC TRANSDUCER

  9. SUPERLAYER RESIDUAL STRESS EFFECT ON THE INDENTATION ADHESION MEASUREMENTS

    E-Print Network [OSTI]

    Volinsky, Alex A.

    as a function of film thickness and residual stress. These films were sputter deposited onto thermally oxidized deposition parameters were controlled to produce either a compressive residual stress of 1 GPa or a tensile in a study of compressive and tensile residual stresses created during sputter deposition of tungsten

  10. Welding residual stresses in ferritic power plant steels

    E-Print Network [OSTI]

    Cambridge, University of

    REVIEW Welding residual stresses in ferritic power plant steels J. A. Francis*1 , H. K. D. H require therefore, an accounting of residual stresses, which often are introduced during welding. To do in the estimation of welding residual stresses in austenitic stainless steels. The progress has been less convincing

  11. Ashot Minasyan SQ-universality and residual properties. . . -slide #1 The SQ-universality and residual properties of

    E-Print Network [OSTI]

    Minasyan, Ashot

    Ashot Minasyan SQ-universality and residual properties. . . - slide #1 The SQ-universality Main Results Ashot Minasyan SQ-universality and residual properties. . . - slide #2 SQ-universality and residual properties. . . - slide #2 SQ-universality A group G is called SQ-universal if any countable group

  12. Combination process for upgrading residual oils

    SciTech Connect (OSTI)

    Busch, L.E.; Walters, P.W.; Zandona, O.

    1990-01-16T23:59:59.000Z

    This patent describes a method for upgrading high boiling residual portions of crude oils comprising metal contaminants, porphyrins, asphaltenes and high molecular weight multi-ring hydrocarbon material. It comprises: charging a high boiling residual portion of crude oil admixed with diluent in contact with suspended upflowing substantially inert fluidizable solids particulate material at an elevated thermal visbreaking temperature in a riser contact zone for a time sufficient to recover therefrom a vaporous hydrocarbon product higher boiling than gasoline partially decarbonized and demetallized to a lower contaminating metals level, quenching the vaporous product of thermal visbreaking below its dew point after separation from solids, charging quenched thermally modified high boiling hydrocarbon product with a crystalline zeolite cracking catalyst under cracking conditions for a hydrocarbon residence time in a riser cracking zone; recovering a hydrocarbon conversion product; separating a combined C{sub 4} minus wet gas product stream of the visbreaking and zeolite catalyst cracking operating to recover a C{sub 3}-C{sub 4} rich fraction separately from a C{sub 2} minus dry gas product fraction, and regenerating the crystalline zeolite contcontaining catalyst.

  13. Alcohol production from agricultural and forestry residues

    SciTech Connect (OSTI)

    Dale, L; Opilla, R; Surles, T

    1980-09-01T23:59:59.000Z

    Technologies available for the production of ethanol from whole corn are reviewed. Particular emphasis is placed on the environmental aspects of the process, including land utilization and possible air and water pollutants. Suggestions are made for technological changes intended to improve the economics of the process as well as to reduce some of the pollution from by-product disposal. Ethanol may be derived from renewable cellulosic substances by either enzymatic or acid hydrolysis of cellulose to sugar, followed by conventional fermentation and distillation. The use of two agricultural residues - corn stover (field stalks remaining after harvest) and straw from wheat crops - is reviewed as a cellulosic feedstock. Two processes have been evaluated with regard to environmental impact - a two-stage acid process developed by G.T. Tsao of Purdue University and an enzymatic process based on the laboratory findings of C.R. Wilke of the University of California, Berkeley. The environmental residuals expected from the manufacture of methyl and ethyl alcohols from woody biomass are covered. The methanol is produced in a gasification process, whereas ethanol is produced by hydrolysis and fermentation processes similar to those used to derive ethanol from cellulosic materials.

  14. Alcohol production from agricultural and forestry residues

    SciTech Connect (OSTI)

    Opilla, R.; Dale, L.; Surles, T.

    1980-05-01T23:59:59.000Z

    A variety of carbohydrate sources can be used as raw material for the production of ethanol. Section 1 is a review of technologies available for the production of ethanol from whole corn. Particular emphasis is placed on the environmental aspects of the process, including land utilization and possible air and water pollutants. Suggestions are made for technological changes intended to improve the economics of the process as well as to reduce some of the pollution from by-product disposal. Ethanol may be derived from renewable cellulosic substances by either enzymatic or acid hydrolysis of cellulose to sugar, followed by conventional fermentation and distillation. Section 2 is a review of the use of two agricultural residues - corn stover (field stalks remaining after harvest) and straw from wheat crops - as a cellulosic feedstock. Two processes have been evaluated with regard to environmental impact - a two-stage acid process developed by G.T. Tsao of Purdue University and an enzymatic process based on the laboratory findings of C.R. Wilke of the University of California, Berkeley. Section 3 deals with the environmental residuals expected from the manufacture of methyl and ethyl alcohols from woody biomass. The methanol is produced in a gasification process, whereas ethanol is produced by hydrolysis and fermentation processes similar to those used to derive ethanol from cellulosic materials.

  15. Combustion turbine deposition observations from residual and simulated residual oil studies

    SciTech Connect (OSTI)

    Whitlow, G.A.; Cohn, A.; Lee, S.Y.; Mulik, P.R.; Sherlock, T.P.; Wenglarz, R.A.

    1983-01-01T23:59:59.000Z

    Burning residual oil in utility combustion turbines and the consequent deposition on blades and vanes may adversely affect reliability and operation. Corrosion and deposition data for combustion turbine materials have been obtained through dynamic testing in pressurized passages. The deposition produced by the 1900/sup 0/F (1038/sup 0/C) combustion gases from a simulated and a real residual oil on cooled Udimet 500 surfaces is described. Higher deposition rates for the doped fuel than for the real residual oil raised questions of whether true simulation with this approach can be achieved. Particles 4-8..mu.. m in diameter predominated in the gas stream, with some fraction in the 0.1-12 ..mu.. m range. Deposition rates seemed to be influenced by thermophoretic delivery of small molten particles, tentatively identified as magnesium pyro and metavanadates and free vanadium pentoxide, which may act to bond the larger solid particles arriving by inertial impaction to turbine surfaces. Estimated maintenance intervals for current utility turbines operating with washed and treated residual oil agreed well with field experience.

  16. Recovery of gallium from aluminum industry residues

    SciTech Connect (OSTI)

    Carvalho, M.S.; Neto, K.C.M.; Nobrega, A.W.; Medeiros, J.A.

    2000-01-01T23:59:59.000Z

    A procedure is proposed to recover gallium from flue dust aluminum residues produced in plants by using solid-phase extraction with a commercial polyether-type polyurethane foam (PUF). Gallium can be separated from high concentrations of aluminum, iron, nickel, titanium, vanadium, copper, zinc, sulfate, fluoride, and chloride by extraction with PUF from 3 M sulfuric acid and 3 M sodium chloride concentration medium with at least a 92% efficiency. Gallium backextraction was fast and quantitative with ethanol solution. In all recovery steps commercial-grade reagents could be used, including tap water. The recovered gallium was precipitated with sodium hydroxide solution, purified by dissolution and precipitation, calcinated, and the final oxide was 98.6% pure.

  17. Method For Characterizing Residual Stress In Metals

    DOE Patents [OSTI]

    Jacobson, Loren A. (Santa Fe, NM); Michel, David J. (Alexandria, VA); Wyatt, Jeffrey R. (Burke, VA)

    2002-12-03T23:59:59.000Z

    A method is provided for measuring the residual stress in metals. The method includes the steps of drilling one or more holes in a metal workpiece to a preselected depth and mounting one or more acoustic sensors on the metal workpiece and connecting the sensors to an electronic detecting and recording device. A liquid metal capable of penetrating into the metal workpiece placed at the bottom of the hole or holes. A recording is made over a period of time (typically within about two hours) of the magnitude and number of noise events which occur as the liquid metal penetrates into the metal workpiece. The magnitude and number of noise events are then correlated to the internal stress in the region of the workpiece at the bottom of the hole.

  18. Process converts incineration slag into stabilized residue

    SciTech Connect (OSTI)

    Thauront, J.; Deneux-Mustin, S. (EMC-Services, Paris (France)); Durecu, S. (EMC-Services, Vandoeuvre-Les Nancy (France)); Fraysse, G. (EMC-Services, Saint-Vulbas (France)); Berthelin, J. (Centre de Pedologie Biologique, Vandoeuvre-Les Nancy (France))

    1994-12-01T23:59:59.000Z

    During 1973 and 1974, EMC-Services designed and built a physico-chemical treatment plant in Hombourg, in France's Alsatian region. The plant is still in operation. Since then, EMC-Services has developed substantial experience in environmental projects, becoming one of the top companies internationally with experience and practice in designing, building and operating hazardous waste treatment plants. EMC-Services operates in France in Salaise, Strasbourg, Mitry-Mory, and Saint-Vulbas, where eight incinerators treat solid, liquid, highly halogenated and nonhazardous industrial waste. The incinerators, built or updated by EMC-Services, have a total capacity of about 200,000 tons per year. In the new process, incineration of special industrial wastes produces non-volatilized solid residue or slag, which is sent for disposal, in compliance with regulations, to special disposal plants. Future European regulations will incorporate landfilling criteria requiring such slag to be stabilized.

  19. active site residue: Topics by E-print Network

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

    in human transferrin and Tyr Oksana Lockridge 2008-01-01 140 RESEARCH ARTICLE Benefits of organic residues and chemical fertilizer Biology and Medicine Websites Summary: RESEARCH...

  20. active site residues: Topics by E-print Network

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

    in human transferrin and Tyr Oksana Lockridge 2008-01-01 140 RESEARCH ARTICLE Benefits of organic residues and chemical fertilizer Biology and Medicine Websites Summary: RESEARCH...

  1. Table 19. U.S. Refiner Residual Fuel Oil Prices

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

    Prices," source for backcast estimates prior to January 1983. 19. U.S. Refiner Residual Fuel Oil Prices 36 Energy Information Administration Petroleum Marketing Annual 1996...

  2. Table 19. U.S. Refiner Residual Fuel Oil Prices

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

    Prices," source for backcast estimates prior to January 1983. 19. U.S. Refiner Residual Fuel Oil Prices 36 Energy Information Administration Petroleum Marketing Annual 1997...

  3. Residual Stresses for Structural Analysis and Fatigue Life Prediction...

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

    Stresses for Structural Analysis and Fatigue Life Prediction in Vehicle Components: Success stories from the High Temperature Materials Laboratory (HTML) User Program Residual...

  4. Wet Gasification of Ethanol Residue: A Preliminary Assessment

    SciTech Connect (OSTI)

    Brown, Michael D.; Elliott, Douglas C.

    2008-09-22T23:59:59.000Z

    A preliminary technoeconomic assessment has been made of several options for the application of catalytic hydrothermal gasification (wet gasification) to ethanol processing residues.

  5. Disappearance of fusionlike residues and the nuclear equation of state

    SciTech Connect (OSTI)

    Xu, H.M.; Lynch, W.G.; Danielewicz, P.; Bertsch, G.F. (National Superconducting Cyclotron Laboratory, Michigan State University, East Lansing, MI (USA) Department of Physics, Michigan State University, East Lansing, MI (USA))

    1990-08-13T23:59:59.000Z

    The cross sections for massive residues from {sup 40}Ca+{sup 40}Ca and {sup 40}Ar+{sup 27}Al collisions were calculated with an improved Boltzmann-Uehling-Uhlenbeck equation. The calculated residue cross sections decrease with incident energy, an effect which does not appear related to the residue excitation energy. Larger residue cross sections result from calculations with larger in-medium nucleon-nucleon cross sections or with equations of state which are less attractive at subnuclear density. This dual sensitivity may be eliminated by measurements of observables associated with the coincident light particles.

  6. acetamido trideoxyhexose residue: Topics by E-print Network

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

    The macroscopic stress evolution is connected to a length scale of residual liquefaction displayed by microscopic mean-squared displacements. The theory describes this...

  7. autophosphorylated residues required: Topics by E-print Network

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

    though no flow is present. The macroscopic stress evolution is connected to a length scale of residual liquefaction displayed by microscopic mean-squared displacements. The...

  8. abradable coating residual: Topics by E-print Network

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

    The macroscopic stress evolution is connected to a length scale of residual liquefaction displayed by microscopic mean-squared displacements. The theory describes this...

  9. Water dynamics clue to key residues in protein folding

    SciTech Connect (OSTI)

    Gao, Meng [State Key Laboratory for Turbulence and Complex Systems, and Department of Biomedical Engineering, and Center for Theoretical Biology, and Center for Protein Science, Peking University, Beijing 100871 (China)] [State Key Laboratory for Turbulence and Complex Systems, and Department of Biomedical Engineering, and Center for Theoretical Biology, and Center for Protein Science, Peking University, Beijing 100871 (China); Zhu, Huaiqiu, E-mail: hqzhu@pku.edu.cn [State Key Laboratory for Turbulence and Complex Systems, and Department of Biomedical Engineering, and Center for Theoretical Biology, and Center for Protein Science, Peking University, Beijing 100871 (China)] [State Key Laboratory for Turbulence and Complex Systems, and Department of Biomedical Engineering, and Center for Theoretical Biology, and Center for Protein Science, Peking University, Beijing 100871 (China); Yao, Xin-Qiu [State Key Laboratory for Turbulence and Complex Systems, and Department of Biomedical Engineering, and Center for Theoretical Biology, and Center for Protein Science, Peking University, Beijing 100871 (China) [State Key Laboratory for Turbulence and Complex Systems, and Department of Biomedical Engineering, and Center for Theoretical Biology, and Center for Protein Science, Peking University, Beijing 100871 (China); Department of Biophysics, Kyoto University, Sakyo Kyoto 606-8502 (Japan); She, Zhen-Su, E-mail: she@pku.edu.cn [State Key Laboratory for Turbulence and Complex Systems, and Department of Biomedical Engineering, and Center for Theoretical Biology, and Center for Protein Science, Peking University, Beijing 100871 (China)] [State Key Laboratory for Turbulence and Complex Systems, and Department of Biomedical Engineering, and Center for Theoretical Biology, and Center for Protein Science, Peking University, Beijing 100871 (China)

    2010-01-29T23:59:59.000Z

    A computational method independent of experimental protein structure information is proposed to recognize key residues in protein folding, from the study of hydration water dynamics. Based on all-atom molecular dynamics simulation, two key residues are recognized with distinct water dynamical behavior in a folding process of the Trp-cage protein. The identified key residues are shown to play an essential role in both 3D structure and hydrophobic-induced collapse. With observations on hydration water dynamics around key residues, a dynamical pathway of folding can be interpreted.

  10. ,"U.S. Total Sales of Residual Fuel Oil by End Use"

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"BruneiReserves in Nonproducing Reservoirs (MillionNatural GasRefinerSales

  11. Phase Chemistry of Tank Sludge Residual Components

    SciTech Connect (OSTI)

    J.L. Krumhansl

    2002-04-02T23:59:59.000Z

    The US Department of Energy (DOE) has millions of gallons of high level nuclear waste stored in underground tanks at Hanford, Washington and Savannah River, South Carolina. These tanks will eventually be emptied and decommissioned. This will leave a residue of sludge adhering to the interior tank surfaces that may contaminate nearby groundwaters with radionuclides and RCRA metals. Performance assessment (PA) calculations must be carried out prior to closing the tanks. This requires developing radionuclide release models from the sludges so that the PA calculations can be based on credible source terms. These efforts continued to be hindered by uncertainties regarding the actual nature of the tank contents and the distribution of radionuclides among the various phases. In particular, it is of vital importance to know what radionuclides are associated with solid sludge components. Experimentation on actual tank sludges can be difficult, dangerous and prohibitively expensive. The research funded under this grant for the past three years was intended to provide a cost-effective method for developing the needed radionuclide release models using non-radioactive artificial sludges. Insights gained from this work will also have more immediate applications in understanding the processes responsible for heel development in the tanks and in developing effective technologies for removing wastes from the tanks.

  12. Rapid Protein Structure Detection and Assignment using Residual Dipolar Couplings

    E-Print Network [OSTI]

    Rapid Protein Structure Detection and Assignment using Residual Dipolar Couplings Michael A substructures by exploiting the orientational constraint of residual dipolar coupling (RDC). PEPMORPH reverses: We have tested PEPMORPH on a variety of real proteins deposited in the Protein Data Base (PDB), using

  13. Computing Symmetrized Weight Enumerators for Lifted Quadratic Residue Codes

    E-Print Network [OSTI]

    Duursma, Iwan M.

    Computing Symmetrized Weight Enumerators for Lifted Quadratic Residue Codes I. M. Duursma Dept for the computation of structural parameters for ring-linear codes. This article therefore presents a method to e?ciently compute weight enumerators of linear codes over primary integer residue rings. For the lifted QR-codes

  14. Minimization of welding residual stress and distortion in large structures

    E-Print Network [OSTI]

    Michaleris, Panagiotis

    1 Minimization of welding residual stress and distortion in large structures P. Michaleris at Champaign Urbana, Urbana, IL Abstract Welding distortion in large structures is usually caused by buckling due to the residual stress. In cases where the design is fixed and minimum weld size requirements

  15. Modeling Sustainable Agricultural Residue Removal at the Subfield Scale

    SciTech Connect (OSTI)

    Muth, D.J.; McCorkle, D.S.; Koch, J.B.; Bryden, K.M.

    2012-05-02T23:59:59.000Z

    This study developed a computational strategy that utilizes data inputs from multiple spatial scales to investigate how variability within individual fields can impact sustainable residue removal for bioenergy production. Sustainable use of agricultural residues for bioenergy production requires consideration of the important role that residues play in limiting soil erosion and maintaining soil C, health, and productivity. Increased availability of subfield-scale data sets such as grain yield data, high-fidelity digital elevation models, and soil characteristic data provides an opportunity to investigate the impacts of subfield-scale variability on sustainable agricultural residue removal. Using three representative fields in Iowa, this study contrasted the results of current NRCS conservation management planning analysis with subfield-scale analysis for rake-and-bale removal of agricultural residue. The results of the comparison show that the field-average assumptions used in NRCS conservation management planning may lead to unsustainable residue removal decisions for significant portions of some fields. This highlights the need for additional research on subfield-scale sustainable agricultural residue removal including the development of real-time variable removal technologies for agricultural residue.

  16. Residual Energy-Aware Cooperative Transmission (REACT) in Wireless Networks

    E-Print Network [OSTI]

    Leung, Kin K.

    Residual Energy-Aware Cooperative Transmission (REACT) in Wireless Networks Erwu Liu, Qinqing Zhang the lifetime of the network and we call the selection method a residual energy-aware cooperative transmission- works, where energy efficiency is a critical design consideration. We assume that multiple relay nodes

  17. RESIDUAL STRESS EFFECTS IN FRACTURE OF COMPOSITES AND ADHESIVES

    E-Print Network [OSTI]

    Nairn, John A.

    RESIDUAL STRESS EFFECTS IN FRACTURE OF COMPOSITES AND ADHESIVES JOHN A. NAIRN ABSTRACT Because composites and adhesive joints are made from different phases with different thermal expansion coefficients, they inevitably develop residual thermal stresses. When designing composites or adhesive joints, it is important

  18. Conversion of direct process high-boiling residue to monosilanes

    DOE Patents [OSTI]

    Brinson, Jonathan Ashley (Vale of Glamorgan, GB); Crum, Bruce Robert (Madison, IN); Jarvis, Jr., Robert Frank (Midland, MI)

    2000-01-01T23:59:59.000Z

    A process for the production of monosilanes from the high-boiling residue resulting from the reaction of hydrogen chloride with silicon metalloid in a process typically referred to as the "direct process." The process comprises contacting a high-boiling residue resulting from the reaction of hydrogen chloride and silicon metalloid, with hydrogen gas in the presence of a catalytic amount of aluminum trichloride effective in promoting conversion of the high-boiling residue to monosilanes. The present process results in conversion of the high-boiling residue to monosilanes. At least a portion of the aluminum trichloride catalyst required for conduct of the process may be formed in situ during conduct of the direct process and isolation of the high-boiling residue.

  19. Level: National Data; Row: Employment Sizes within NAICS Codes;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,442 140,94884

  20. Level: National Data; Row: Employment Sizes within NAICS Codes;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,442 140,948844

  1. Level: National Data; Row: NAICS Codes; Column: Energy Sources

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.4 Number of

  2. Level: National Data; Row: NAICS Codes; Column: Energy Sources

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.4 Number of3.4

  3. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.4 Number2.4 Number

  4. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.4 Number2.4

  5. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.4 Number2.44.4

  6. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.4 Number2.44.41

  7. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.4 Number2.44.413

  8. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.4 Number2.44.4133

  9. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.4 Number2.44.41335

  10. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.4

  11. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Number of

  12. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Number of1

  13. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Number of13

  14. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Number of133

  15. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Number of1330.5

  16. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Number

  17. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Number9 Number

  18. Level: National Data; Row: NAICS Codes; Column: Floorspace and Buildings;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Number9

  19. Level: National Data; Row: Values of Shipments within NAICS Codes;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next MECS will3

  20. Level: National Data; Row: Values of Shipments within NAICS Codes;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next MECS

  1. Manufacturing Energy and Carbon Footprint - Sector: Iron and Steel (NAICS

    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 on Delicious RankCombustion | Department of Energy Low-TemperatureEnergyAll ManufacturingFood andGlass and

  2. 07_NAICS_Codes.pdf | Department of Energy

    Energy Savers [EERE]

    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 on Delicious RankCombustion |Energyon ArmedWaste and Materials Disposition#EnergyFaceoff RoundsDepartment

  3. " Row: NAICS Codes; Column: Electricity Components;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13. Quantity

  4. " Row: NAICS Codes; Column: Electricity Components;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13. Quantity1

  5. " Row: NAICS Codes; Column: Electricity Components;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13. Quantity11.1

  6. " Row: NAICS Codes; Column: Electricity Components;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13. Quantity11.11

  7. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13. Quantity11.116

  8. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13. Quantity11.1166

  9. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.

  10. " Row: Employment Sizes within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.

  11. " Row: Employment Sizes within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4

  12. " Row: Employment Sizes within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.44

  13. " Row: Employment Sizes within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.444

  14. " Row: End Uses within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4441. End

  15. " Row: End Uses within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4441. End2.

  16. " Row: End Uses within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4441.

  17. " Row: End Uses within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4441.4. End

  18. " Row: End Uses within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4441.4. End1

  19. " Row: End Uses within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4441.4.

  20. " Row: End Uses within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4441.4.3 End

  1. " Row: End Uses within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4441.4.3

  2. " Row: End Uses within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4441.4.31

  3. " Row: End Uses within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4441.4.312

  4. " Row: End Uses within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4441.4.3123

  5. " Row: End Uses within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4441.4.31234

  6. " Row: End Uses within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total

  7. " Row: End Uses within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel

  8. " Row: End Uses within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel3 End

  9. " Row: End Uses within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel3 End4

  10. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54.4

  11. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54.41. Fuel

  12. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54.41. Fuel2.

  13. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54.41.

  14. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54.41.2 Fuel

  15. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54.41.2 Fuel4

  16. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54.41.2

  17. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54.41.22

  18. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54.41.224

  19. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54.41.2242.4

  20. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54.41.2242.41

  1. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses

  2. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses3.4 Number of

  3. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses3.4 Number of1

  4. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses3.4 Number of12

  5. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses3.4 Number

  6. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses3.4 Number1 Fuel

  7. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses3.4 Number1

  8. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses3.4 Number13.4

  9. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses3.4 Number13.41

  10. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses3.4 Number13.412

  11. " Row: NAICS Codes; Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses3.4

  12. United States Department of

    E-Print Network [OSTI]

    of logging residues. Primary wood-processing mills generated 1.9 million green tons of mill residues, with 51 ..........................................................................................................................21 #12;#12;1 INTRODUCTION Wisconsin's wood products manufacturing industry (NAICS 321--wood product manufacturing, and NAICS 322--paper manufacturing) employed more than 59,000 workers with an output of about $18

  13. Ronald J. Piva Gregory W. Cook

    E-Print Network [OSTI]

    generated 2.1 million green tons of mill residues, with just over half of the mill residues being used Virginia's wood products manufacturing industry employs 9,400 workers with an output of more than $2.0 billion (NAICS 321--Wood product manufacturing, and NAICS 322--Paper manufacturing) (U.S. Census Bureau

  14. DDT RESIDUES IN SEAWATER AND PARTICULATE MATTER IN THE CALIFORNIA CURRENT SYSTEM

    E-Print Network [OSTI]

    DDT RESIDUES IN SEAWATER AND PARTICULATE MATTER IN THE CALIFORNIA CURRENT SYSTEM JAMES L. COX in the California current system were analyzed for DDT residues. DDT residue concentrations in whole seawater are discussed in relation to mechanisms of land-sea DDT residue transfer. DDT residue concentrations

  15. A manual for implementing residual radioactive material guidelines

    SciTech Connect (OSTI)

    Gilbert, T.L.; Yu, C.; Yuan, Y.C.; Zielen, A.J.; Jusko, M.J.; Wallo, A. III

    1989-06-01T23:59:59.000Z

    This manual presents information for implementing US Department of Energy (DOE) guidelines for residual radioactive material at sites identified by the Formerly Utilized Sites Remedial Action Program (FUSRAP) and the Surplus Facilities Management Program (SFMP). It describes the analysis and models used to derive site-specific guidelines for allowable residual concentrations of radionuclides in soil and the design and use of the RESRAD computer code for calculating guideline values. It also describes procedures for implementing DOE policy for reducing residual radioactivity to levels that are as low as reasonably achievable. 36 refs., 16 figs, 22 tabs.

  16. Industrial Demand Module

    Gasoline and Diesel Fuel Update (EIA)

    products (NAICS 3272) Wood products (NAICS 321) Cement and Lime (NAICS 32731, 32741) Plastic and rubber products (NAICS 326) Construction (NAICS 23) Iron and steel (NAICS 3311-...

  17. Asphalt landscape after all : residual suburban surface as public infrastructure

    E-Print Network [OSTI]

    O'Connor, Joseph Michael, M. Arch. Massachusetts Institute of Technology

    2011-01-01T23:59:59.000Z

    The thesis proposes a hybridized commercial retail strip inserted into a residual suburban condition as a manner of investigating the latent potential of suburban logic, both its constituent elements and its formal rules ...

  18. Residual stress in electrodeposited nanocrystalline nickel-tungsten coatings

    E-Print Network [OSTI]

    Ziebell, Tiffany D.

    Characterizing the residual stress of thick nanocrystalline electrodeposits poses several unique challenges due to their fine grain structure, thickness distribution, and matte surface. We use a three-dimensional ...

  19. FIXED PRICE RESIDUAL FUNDS POLICY Policy dated March 29, 1999

    E-Print Network [OSTI]

    Weston, Ken

    FIXED PRICE RESIDUAL FUNDS POLICY Policy dated March 29, 1999 After completion of all deliverables required under a fixed-price award, after costs in fulfilling the requirements of the award have been

  20. Minimizing High Spatial Frequency Residual in Active Space Telescope Mirrors

    E-Print Network [OSTI]

    . Miller June 2008 SSL # 4-08 #12;#12;Minimizing High Spatial Frequency Residual in Active Space Telescope Mirrors Thomas Gray, David W. Miller June 2008 SSL # 4-08 This work is based on the unaltered text

  1. An urban infill : a residual site in Boston

    E-Print Network [OSTI]

    Savvides, Andreas L. (Andreas Loucas)

    1996-01-01T23:59:59.000Z

    This thesis is concerned with the treatment of residual sites in the context of the urban environment and in particular with the wounds inflicted by the passage of the Massachusetts Turnpike through the city of Boston. The ...

  2. RetroFILL : residual spaces as urban infill

    E-Print Network [OSTI]

    Kobel, Marika

    2010-01-01T23:59:59.000Z

    In any city there are small slivers and chunks of awkward spaces - in between buildings, occupying edge conditions, not large enough to warrant many forms of traditional use - which can be termed residual. These areas of ...

  3. Residual dust charges in an afterglow plasma , M. Mikikian

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    plasma was performed in a rf discharge. An upward thermophoretic force was used to balance]. For the study concerning residual charges, the top electrode was cooled. An upward thermophoretic force

  4. RELATIVE RESIDUAL BOUNDS FOR INDEFINITE SINGULAR HERMITIAN MATRICES

    E-Print Network [OSTI]

    Truhar, Ninoslav

    residual bounds, indefinite Hermitian matrix, eigen- values, perturbation theory, relative perturbations. These theorems are proper generalization of results on a semi-definite Hermitian matrix SIAM Journal on Matrix

  5. GEOCHEMICAL TESTING AND MODEL DEVELOPMENT - RESIDUAL TANK WASTE TEST PLAN

    SciTech Connect (OSTI)

    CANTRELL KJ; CONNELLY MP

    2010-03-09T23:59:59.000Z

    This Test Plan describes the testing and chemical analyses release rate studies on tank residual samples collected following the retrieval of waste from the tank. This work will provide the data required to develop a contaminant release model for the tank residuals from both sludge and salt cake single-shell tanks. The data are intended for use in the long-term performance assessment and conceptual model development.

  6. Characterization of flue gas residues from municipal solid waste combustors

    SciTech Connect (OSTI)

    Forestier, L.L. [CRPG-CNRS, Vandoeuvre-les-Nancy (France)] [CRPG-CNRS, Vandoeuvre-les-Nancy (France); [ENSG, Vandoeuvre-les-Nancy (France); Libourel, G. [CRPG-CNRS, Vandoeuvre-les-Nancy (France)] [CRPG-CNRS, Vandoeuvre-les-Nancy (France); [Univ. H. Poincare, Vandoeuvre-les-Nancy (France)

    1998-08-01T23:59:59.000Z

    Solid residues recovered from treatment of flue gas resulting from the combustion of municipal solid waste (MSW) are of particular concern because of ever-increasing worldwide production rates and their concentrations of potentially hazardous transition elements and heavy metals. Three main residue types have been studied in this study: electrostatic precipitator ashes, wet filter cakes, and semidry scrubber residues. Using a large number of residues from two French MSW combustion (MSWC) facilities, the aim of this work is to determine their chemistry and mineralogy in order to shed light on their potential toxicity. The authors find that pollutant concentrations are dependent not only on the composition of MSW but also on the size of particles and flue gas treatment process. Using a procedure based on leaching, grain-size, density, and magnetic separations, the authors present a detailed description of the mineralogy of MSWC solid residues. These residues consist of a very heterogeneous assemblage of glasses, metals, and other crystals in which polluting elements are distributed. The results of this characterization will therefore help to contribute to the development of adequate waste management strategies.

  7. Residual stresses and stress corrosion cracking in pipe fittings

    SciTech Connect (OSTI)

    Parrington, R.J.; Scott, J.J.; Torres, F.

    1994-06-01T23:59:59.000Z

    Residual stresses can play a key role in the SCC performance of susceptible materials in PWR primary water applications. Residual stresses are stresses stored within the metal that develop during deformation and persist in the absence of external forces or temperature gradients. Sources of residual stresses in pipe fittings include fabrication processes, installation and welding. There are a number of methods to characterize the magnitude and orientation of residual stresses. These include numerical analysis, chemical cracking tests, and measurement (e.g., X-ray diffraction, neutron diffraction, strain gage/hole drilling, strain gage/trepanning, strain gage/section and layer removal, and acoustics). This paper presents 400 C steam SCC test results demonstrating that residual stresses in as-fabricated Alloy 600 pipe fittings are sufficient to induce SCC. Residual stresses present in as-fabricated pipe fittings are characterized by chemical cracking tests (stainless steel fittings tested in boiling magnesium chloride solution) and by the sectioning and layer removal (SLR) technique.

  8. Opportunities and Challenges for Nondestructive Residual Stress Assessment

    SciTech Connect (OSTI)

    Nagy, P. B. [Department of Aerospace Engineering and Engineering Mechanics, University of Cincinnati, Cincinnati, Ohio 45221-0070 (United States)

    2006-03-06T23:59:59.000Z

    For a long time, nondestructive residual stress assessment has been one of the greatest opportunities as well as one of the greatest challenges for the NDE community, and probably it will remain so in the foreseeable future. The most critical issue associated with nondestructive residual stress assessment seems to be that of selectivity. Numerous NDE methods have been found to be sufficiently sensitive to the presence of residual stress, but unfortunately also rather sensitive to other spurious variations that usually accompany residual stresses, such as anisotropic texture, microstructural inhomogeneity, plastic deformation, etc., which could interfere with, or even overshadow, the elastic strain caused by the sought residual stress. The only sufficiently selective NDE method that is more or less immune from these spurious effects is X-ray diffraction measurement, which however does not have the required penetration depth in most applications unless high-energy neutron radiation is used. It is timely for the community to sit back and ask where we are in this important area. This paper presents an overview of the various indirect techniques that have been used to measure residual stress in the past. It is shown that traditional techniques have a number of limitations, which have spurred several recent research programs. Some of the new techniques that are presently being examined in the NDE community are reviewed and the current status of these research efforts is assessed.

  9. E-Print Network 3.0 - assess residue contributions Sample Search...

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

    Waste Incinerators in England and Summary: . To assess the risks to health from ash and air pollution control residues, the Agency assessed the risks... Solid Residues from...

  10. E-Print Network 3.0 - acceptable residual magnetic Sample Search...

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

    residual limb. A small Neodymium-Iron-Boron magnet... of a small permanent magnet into the distal residual ... Source: Peshkin, Michael A.- Department of Mechanical...

  11. Hanford tank residual waste contaminant source terms and release models

    SciTech Connect (OSTI)

    Deutsch, William J.; Cantrell, Kirk J.; Krupka, Kenneth M.; Lindberg, Michael J.; Serne, R. Jeffrey

    2011-08-23T23:59:59.000Z

    Residual waste is expected to be left in 177 underground storage tanks after closure at the U.S. Department of Energys Hanford Site in Washington State (USA). In the long term, the residual wastes represent a potential source of contamination to the subsurface environment. Residual materials that cannot be completely removed during the tank closure process are being studied to identify and characterize the solid phases and estimate the release of contaminants from these solids to water that might enter the closed tanks in the future. As of the end of 2009, residual waste from five tanks has been evaluated. Residual wastes from adjacent tanks C-202 and C-203 have high U concentrations of 24 and 59 wt%, respectively, while residual wastes from nearby tanks C-103 and C-106 have low U concentrations of 0.4 and 0.03 wt%, respectively. Aluminum concentrations are high (8.2 to 29.1 wt%) in some tanks (C-103, C-106, and S-112) and relatively low (<1.5 wt%) in other tanks (C-202 and C-203). Gibbsite is a common mineral in tanks with high Al concentrations, while non-crystalline U-Na-C-O-PH phases are common in the U-rich residual wastes from tanks C-202 and C-203. Iron oxides/hydroxides have been identified in all residual waste samples studied to date. Contaminant release from the residual wastes was studied by conducting batch leach tests using distilled deionized water, a Ca(OH)2-saturated solution, or a CaCO3-saturated water. Uranium release concentrations are highly dependent on waste and leachant compositions with dissolved U concentrations one or two orders of magnitude higher in the tests with high U residual wastes, and also higher when leached with the CaCO3-saturated solution than with the Ca(OH)2-saturated solution. Technetium leachability is not as strongly dependent on the concentration of Tc in the waste, and it appears to be slightly more leachable by the Ca(OH)2-saturated solution than by the CaCO3-saturated solution. In general, Tc is much less leachable (<10 wt% of the available mass in the waste) than previously predicted. This may be due to the coprecipitation of trace concentrations of Tc in relatively insoluble phases such as Fe oxide/hydroxide solids.

  12. Measuring depth profiles of residual stress with Raman spectroscopy

    SciTech Connect (OSTI)

    Enloe, W.S.; Sparks, R.G.; Paesler, M.A.

    1988-12-01T23:59:59.000Z

    Knowledge of the variation of residual stress is a very important factor in understanding the properties of machined surfaces. The nature of the residual stress can determine a part`s susceptibility to wear deformation, and cracking. Raman spectroscopy is known to be a very useful technique for measuring residual stress in many materials. These measurements are routinely made with a lateral resolution of 1{mu}m and an accuracy of 0.1 kbar. The variation of stress with depth; however, has not received much attention in the past. A novel technique has been developed that allows quantitative measurement of the variation of the residual stress with depth with an accuracy of 10nm in the z direction. Qualitative techniques for determining whether the stress is varying with depth are presented. It is also demonstrated that when the stress is changing over the volume sampled, errors can be introduced if the variation of the stress with depth is ignored. Computer aided data analysis is used to determine the depth dependence of the residual stress.

  13. DDT residues in human milk samples from Delhi, India

    SciTech Connect (OSTI)

    Zaidi, S.S.A.; Bhatnagar, V.K.; Banerjee, B.D.; Balakrishnan, G.; Shah, M.P.

    1989-03-01T23:59:59.000Z

    The widespread use of DDT in India has resulted in increased levels of the insecticide in the ecosystem and, therefore, the potential possible health hazards has been voiced. DDT-residues excreted in milk have been reported from different parts of the world; however, very few reports did appear from India. In fact, there is no report on DDT-content in human milk from Delhi area where higher levels of DDT and BHC in human adipose tissues and blood have already been reported. Higher bioaccumulation of DDT might reflect the higher excretion of residues in milk. The authors have, therefore, attempted a systematic study to monitor DDT-residues in human milk samples collected from various hospitals of Delhi (India).

  14. Wave induced residual pore-water pressures in sandbeds

    E-Print Network [OSTI]

    DeVries, Jack Walter

    1986-01-01T23:59:59.000Z

    Subject: Ocean Engineering WAVE INDUCED RESIDUAL PORE-WATER PRESSURES IN SANDBEDS A Thesis by Jack W. Deyries Approved as to style and content by: J. B. Her bich (Chairman of Committee) Y. K. Lou (Member) W. A. Dunlap (Member) R. O. Reid (Member...-Water Pressure . . . . . 43 Development of Residual Pore-Mater Pressure 46 14 15 16 17 18 19 20 Wave Height Recording Pore-Water Pressure Recording Permeability of Sand Permeability of Glass Beads Wave Form (least steep) Wave Form (middle steepness...

  15. A Residual Mass Ballistic Testing Method to Compare Armor Materials or Components (Residual Mass Ballistic Testing Method)

    SciTech Connect (OSTI)

    Benjamin Langhorst; Thomas M Lillo; Henry S Chu

    2014-05-01T23:59:59.000Z

    A statistics based ballistic test method is presented for use when comparing multiple groups of test articles of unknown relative ballistic perforation resistance. The method is intended to be more efficient than many traditional methods for research and development testing. To establish the validity of the method, it is employed in this study to compare test groups of known relative ballistic performance. Multiple groups of test articles were perforated using consistent projectiles and impact conditions. Test groups were made of rolled homogeneous armor (RHA) plates and differed in thickness. After perforation, each residual projectile was captured behind the target and its mass was measured. The residual masses measured for each test group were analyzed to provide ballistic performance rankings with associated confidence levels. When compared to traditional V50 methods, the residual mass (RM) method was found to require fewer test events and be more tolerant of variations in impact conditions.

  16. Computer aided analysis for residual stress measurement using ultrasonic techniques

    E-Print Network [OSTI]

    Kypa, Jagan Mohan

    1999-01-01T23:59:59.000Z

    to detect travel-times with a precision of 0. l nanoseconds and an accuracy of less than 2.5 nanoseconds. A residual stress reference standard developed for previous research was used as the sample to measure travel-times. The sample was designed...

  17. Removal of residual particulate matter from filter media

    DOE Patents [OSTI]

    Almlie, Jay C; Miller, Stanley J

    2014-11-11T23:59:59.000Z

    A method for removing residual filter cakes that remain adhered to a filter after typical particulate removal methodologies have been employed, such as pulse-jet filter element cleaning, for all cleanable filters used for air pollution control, dust control, or powder control.

  18. Modeling, Optimization and Economic Evaluation of Residual Biomass Gasification

    E-Print Network [OSTI]

    Georgeson, Adam

    2012-02-14T23:59:59.000Z

    . .............................................................................. 7 Table 2. Components Used in Simulation. ...................................................................... 20 Table 3. Composition of Biomass Feedstock to Biorefinery. ......................................... 43 Table 4. Operating... for optimizing gasification plant design from an economic perspective. Specifically, the problem addressed in this work is stated as follows: Given are: ? A set of biomass feedstocks {i|i = 1,2,?,I } which includes fresh as well as residue biomass ? A set...

  19. PROPERTIES OF RESIDUALS FOR SPATIAL POINT PROCESSES A. BADDELEY,

    E-Print Network [OSTI]

    Baddeley, Adrian

    PROPERTIES OF RESIDUALS FOR SPATIAL POINT PROCESSES A. BADDELEY, University of Western Australia J. MLLER, University of Aalborg A.G. PAKES, University of Western Australia Abstract For any point process & Statistics M019, University of Western Australia, 35 Stirling Highway, Nedlands WA 6009, Australia Postal

  20. COMMUNICATION Are Residues in a Protein Folding Nucleus

    E-Print Network [OSTI]

    Dai, Yang

    COMMUNICATION Are Residues in a Protein Folding Nucleus Evolutionarily Conserved? Yan Yuan Tseng is the hallmark of life. It is important to understand how protein folding and evolution influence each other in protein folding nucleus as measured by experi- mental f-value and selection pressure as measured by v

  1. Trigeneration in a northern Chinese village using crop residues

    E-Print Network [OSTI]

    Gasification of crop residues can provide modern energy carriers to rural areas at potentially at- tractive in rural areas of developing countries by the introduction of mod- ern, clean energy carriers (e.g., fluid the prospects for providing such energy carriers to a rural village in Jilin province, China: clean gas

  2. AIAA-2001-0025 SPECTRUM FATIGUE LIFETIME AND RESIDUAL STRENGTH

    E-Print Network [OSTI]

    on a typical fiberglass laminate configuration turbine blade fiberglass material has been undertaken under at various fractions of the lifetime turbine blade materials.. are consistent with the residual strength of fiberglass spectrum have been studied. Data have been obtained for materials produce results that may

  3. Ammonia volatilization from soils with surface rice straw residue

    E-Print Network [OSTI]

    Barghassa, Peyam

    1995-01-01T23:59:59.000Z

    rice residue and related factors on NH3 volatilization from an acid Beaumont clay (pH 5.4) and an alkaline Lake Charles clay (pH 7.4). The treatments in the greenhouse and lab consisted of all possible combinations of the following variables: surface...

  4. Sorption characteristics of polycyclic aromatic hydrocarbons in aluminum smelter residues

    SciTech Connect (OSTI)

    Gijs D. Breedveld; Emilien Pelletier; Richard St. Louis; Gerard Cornelissen [Norwegian Geotechnical Institute, Oslo (Norway)

    2007-04-01T23:59:59.000Z

    High temperature carbon oxidation in primary aluminum smelters results in the release of polycyclic aromatic hydrocarbons (PAH) into the environment. The main source of PAH are the anodes, which are composed of petroleum coke (black carbon, BC) and coal tar pitch. To elucidate the dominant carbonaceous phase controlling the environmental fate of PAH in aluminum smelter residues (coke BC and/or coal tar), the sorptive behavior of PAHs has been determined, using passive samplers and infinite-sink desorption methods. Samples directly from the wet scrubber were studied as well as ones from an adjacent 20-year old storage lagoon and roof dust from the smelter. Carbon-normalized distribution coefficients of native PAHs were 2 orders of magnitude higher than expected based on amorphous organic carbon (AOC)/water partitioning, which is in the same order of magnitude as reported literature values for soots and charcoals. Sorption isotherms of laboratory-spiked deuterated phenanthrene showed strong (about 100 times stronger than AOC) but nonetheless linear sorption in both fresh and aged aluminum smelter residues. The absence of nonlinear behavior typical for adsorption to BC indicates that PAH sorption in aluminum smelter residues is dominated by absorption into the semi-solid coal tar pitch matrix. Desorption experiments using Tenax showed that fresh smelter residues had a relatively large rapidly desorbing fraction of PAH (35-50%), whereas this fraction was strongly reduced (11-16%) in the lagoon and roof dust material. Weathering of the coal tar residue and/or redistribution of PAH between coal tar and BC phases could explain the reduced availability in aged samples. 38 refs., 5 figs., 1 tab.

  5. United States Department of

    E-Print Network [OSTI]

    feet of logging residues. Primary wood-processing mills generated 1.5 million green tons of mill ..........................................................................................................................20 #12;#12;1 INTRODUCTION Minnesota's wood products manufacturing industry employs more than 28,442 workers with an output of about $8.7 billion (NAICS 321--Wood product manufacturing, and NAICS 322--Paper

  6. United States Department of

    E-Print Network [OSTI]

    ,700 cubic feet of logging residues. Primary wood-processing mills generated 16,600 green tons of mill ..........................................................................................................................20 #12;#12;1 INTRODUCTION The wood products manufacturing industry in Kansas employs more than 4,900 workers with an output of approximately $1.06 billion (NAICS 321--wood product manufacturing and NAICS 322

  7. Structural group analysis of residues from Athabasca bitumen

    SciTech Connect (OSTI)

    Gray, M.R.; Choi, J.H.K.; Egiebor, N.O. (Alberta Univ., Edmonton, AB (Canada). Dept. of Chemical Engineering); Kirchen, R.P.; Sanford, E.C. (Syncrude Canada Ltd., Edmonton, AB (Canada))

    1989-01-01T23:59:59.000Z

    Although the processability of bitumen from tar sand is dependent on its chemical composition, the details of this relationship are poorly understood. In this study, residue fractions from Athabasca bitumen (topped at different temperatures) and hydrocracker and coker residues were analyzed in detail. Separated class fractions were subjected to elemental analysis, NMR and IR spectroscopy, and potentiometric titration. These data were combined mathematically to obtain a structural profile of each oil. This analysis defines the structural changes in asphaltene precipitates due to distillation and processing, as well as the quantitative changes in the overall structural composition of the oil. Hydrocarbon structures such as paraffinic chains and naphthenes show definite trends with distillation and processing.

  8. Hydroconversion of heavy oils. [Residue of tar sand bitumen distillation

    SciTech Connect (OSTI)

    Garg, D.

    1986-08-19T23:59:59.000Z

    A method is described for hydroconversion of feedstocks consisting essentially of at least one heavy hydrocarbon oil selected from the group consisting of residue of petroleum oil distillation and the residue of tar sand bitumen distillation to enhance the recovery of 350/sup 0/-650/sup 0/F boiling product fraction. The method comprises treating such feed stock with hydrogen at superatmospheric pressure and in the presence of finely divided active hydrogenation catalyst in consecutive reaction stages. An initial reaction stage is carried out at a temperature in the range of 780/sup 0/-825/sup 0/F, and a subsequent reaction stage is directly carried out after the initial reaction stage at a higher temperature in the range of 800/sup 0/F-860/sup 0/F, the temperature of the subsequent reaction stage being at least 20/sup 0/F higher than that of the initial reaction stage.

  9. Residual stresses in dielectrics caused by metallization lines and pads

    SciTech Connect (OSTI)

    He, M.Y.; Lipkin, J.; Clarke, D.R. [Univ. of California, Santa Barbara, CA (United States). Materials Dept.] [Univ. of California, Santa Barbara, CA (United States). Materials Dept.; Evans, A.G. [Harvard Univ., Cambridge, MA (United States). Div. of Applied Sciences] [Harvard Univ., Cambridge, MA (United States). Div. of Applied Sciences; Tenhover, M. [Carborundum Co., Niagara Falls, NY (United States)] [Carborundum Co., Niagara Falls, NY (United States)

    1996-06-01T23:59:59.000Z

    Residual stresses in dielectrics and semiconductors induced by metal lines, pads and vias can have detrimental effects on the performance of devices and electronic packages. Analytical and numerical calculations of these stresses have been performed for two purposes. (1) To illustrate how these stresses relate to the residual stress in the metallization and its geometry; (2) to calibrate a piezo-spectroscopic method for measuring these stresses with high spatial resolution. The results of the calculations have been presented using non-dimensional parameters that both facilitate scaling and provide connections to the stresses in the metal, with or without yielding. Preliminary experimental results obtained for Au/Ge eutectic pads illustrate the potential of the method and the role of the stress analysis.

  10. The Dissolution of Desicooler Residues in H-Canyon Dissolvers

    SciTech Connect (OSTI)

    Gray, J.H.

    2003-06-23T23:59:59.000Z

    A series of dissolution and characterization studies has been performed to determine if FB-Line residues stored in desicooler containers will dissolve using a modified H-Canyon processing flowsheet. Samples of desicooler materials were used to evaluate dissolving characteristics in the low-molar nitric acid solutions used in H-Canyon dissolvers. The selection for the H-Canyon dissolution of desicooler residues was based on their high-enriched uranium content and trace levels of plutonium. Test results showed that almost all of the enriched uranium will dissolve from the desicooler materials after extended boiling in one molar nitric acid solutions. The residue that contained uranium after completion of the extended boiling cycle consisted of brown solids that had agglomerated into large pieces and were floating on top of the dissolver solution. Addition of tenth molar fluoride to a three molar nitric acid solution containing boron did not dissolve remaining uranium from the brown solids. Only after boiling in an eight molar nitric acid-tenth molar fluoride solution without boron did remaining uranium and aluminum dissolve from the brown solids. The amount of uranium associated with brown solids would be approximately 1.4 percent of the total uranium content of the desicooler materials. The brown solids that remain in the First Uranium Cycle feed will accumulate at the organic/aqueous interface during solvent extraction operations. Most of the undissolved white residue that remained after extended boiling was aluminum oxide containing additional trace quantities of impurities. However, the presence of mercury used in H-Canyon dissolvers should complete the dissolution of these aluminum compounds.

  11. Combustion of textile residues in a packed bed

    SciTech Connect (OSTI)

    Ryu, Changkook; Phan, Anh N.; Sharifi, Vida N.; Swithenbank, Jim [Sheffield University Waste Incineration Centre (SUWIC), Department of Chemical and Process Engineering, The University of Sheffield, Mappin Street, Sheffield S1 3JD (United Kingdom)

    2007-08-15T23:59:59.000Z

    Textile is one of the main components in the municipal waste which is to be diverted from landfill for material and energy recovery. As an initial investigation for energy recovery from textile residues, the combustion of cotton fabrics with a minor fraction of polyester was investigated in a packed bed combustor for air flow rates ranging from 117 to 1638 kg/m{sup 2} h (0.027-0.371 m/s). Tests were also carried out in order to evaluate the co-combustion of textile residues with two segregated waste materials: waste wood and cardboard. Textile residues showed different combustion characteristics when compared to typical waste materials at low air flow rates below 819 kg/m{sup 2} h (0.186 m/s). The ignition front propagated fast along the air channels randomly formed between packed textile particles while leaving a large amount of unignited material above. This resulted in irregular behaviour of the temperature profile, ignition rate and the percentage of weight loss in the ignition propagation stage. A slow smouldering burn-out stage followed the ignition propagation stage. At air flow rates of 1200-1600 kg/m{sup 2} h (0.272-0.363 m/s), the bed had a maximum burning rate of about 240 kg/m{sup 2} h consuming most of the combustibles in the ignition propagation stage. More uniform combustion with an increased burning rate was achieved when textile residues were co-burned with cardboard that had a similar bulk density. (author)

  12. The effect of magnetic flutter on residual flow

    SciTech Connect (OSTI)

    Terry, P. W.; Pueschel, M. J.; Carmody, D. [Department of Physics, University of Wisconsin-Madison, Madison, Wisconsin 53706 (United States)] [Department of Physics, University of Wisconsin-Madison, Madison, Wisconsin 53706 (United States); Nevins, W. M. [Lawrence Livermore National Laboratory, Livermore, California 94551 (United States)] [Lawrence Livermore National Laboratory, Livermore, California 94551 (United States)

    2013-11-15T23:59:59.000Z

    The hypothesis that stochastic magnetic fields disrupt zonal flows associated with ion temperature gradient turbulence saturation is investigated analytically with a residual flow calculation in the presence of magnetic flutter. The calculation starts from the time-asymptotic zero-beta residual flow of Rosenbluth and Hinton [Phys. Rev. Lett. 80, 724 (1998)] with the sudden application of an externally imposed, fixed magnetic field perturbation. The short-time electron response from radial charge loss due to magnetic flutter is calculated from the appropriate gyrokinetic equation. The potential evolution has quadratic behavior, with a zero crossing at finite time. The crossing time and its parametric dependencies are compared with numerical results from a gyrokinetic simulation of residual flow in the presence of magnetic flutter. The numerical and analytical results are in good agreement and support the hypothesis that the high-beta runaway of numerical simulations is a result of the disabling of zonal flows by finite-beta charge losses associated with magnetic flutter.

  13. Residual Stress Evaluation within a Crimped Splice Connector Assembly

    SciTech Connect (OSTI)

    Wang, Jy-An John [ORNL; An, Ke [ORNL; Lara-Curzio, Edgar [ORNL; Hubbard, Camden R [ORNL; King Jr, Thomas J [ORNL; Graziano, Joe [Tennessee Valley Authority (TVA); Chan, John [Electric Power Research Institute (EPRI)

    2006-01-01T23:59:59.000Z

    In power transmission, connectors play an important role in the efficiency and reliability of the system. Due to the increase of power demand and lack of new infrastructure, existing overhead power transmission lines often need to operate at temperatures higher than the original design criteria. However, this had led to the accelerated aging and degradation of splice connectors, which has been manifested by the formation of hot-spots that have been revealed by infrared imaging during inspection of transmission lines operating at elevated temperatures. The implications of connector aging is two-fold: (1) significant increase in resistivity of the splice connector (i.e., less efficient transmission of electricity) and (2) significant reduction in the connector clamping strength, which ultimately results in separation of the power transmission line at the joint. Therefore, the splice connector has become the weakest link in the electric power transmission infrastructure. The compressive residual stresses induced by the crimping process within the splice provide the clamping forces to secure the conductor and therefore, the determination of the state of residual stresses in splice connectors is a necessary requirement to provide an accurate estimate of their service lifetime. This paper presents a protocol of utilizing finite-element analysis and neutron scattering experiments for evaluating the residual stress fields within a crimped single-stage splice connector assembly.

  14. THE METHOD OF CONJUGATE RESIDUALS FOR SOLVING THE GALERKIN EQUATIONS ASSOCIATED WITH SYMMETRIC

    E-Print Network [OSTI]

    Plato, Robert

    kind integral equations, conjugate gradient type methods, Galerkin method, regularization schemesTHE METHOD OF CONJUGATE RESIDUALS FOR SOLVING THE GALERKIN EQUATIONS ASSOCIATED WITH SYMMETRIC, the method of conjugate residuals is consid- ered. An a posteriori stopping rule is introduced

  15. Making Photosynthetic Biofuel Renewable: Recovering Phosphorus from Residual Biomass J. M. Gifford and P. Westerhoff

    E-Print Network [OSTI]

    Hall, Sharon J.

    Making Photosynthetic Biofuel Renewable: Recovering Phosphorus from Residual Biomass J. M. Gifford to global warming. Biofuel from phototrophic microbes like algae and bacteria provides a viable substitute improves biofuel sustainability by refining phosphorus recycling. Biomass Production Residual Biomass

  16. E-Print Network 3.0 - aspartic acid residues Sample Search Results

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

    Scott1 and Barry LStoddard 2* Summary: -links are each consistent with a parallel coiled coil structure, residues 1-36 of the aspartate receptor were... residues 23-180 of the...

  17. E-Print Network 3.0 - acid residues involved Sample Search Results

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

    contacts, however... acid residues with small side-chains (Gly, Ala, Ser, Cys) allow tight helix packing by mediating strong... ) amino acid residues. We propose the use of the...

  18. E-Print Network 3.0 - air-pollution-control residues leaching...

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

    leaching Search Powered by Explorit Topic List Advanced Search Sample search results for: air-pollution-control residues leaching Page: << < 1 2 3 4 5 > >> 1 Solid Residues from...

  19. Residuals in steel products -- Impacts on properties and measures to minimize them

    SciTech Connect (OSTI)

    Emi, Toshihiko [Tohoku Univ., Sendai (Japan). Inst. for Advanced Materials Processing; Wijk, O. [Royal Inst. of Tech., Stockholm (Sweden). Dept. of Process Metallurgy

    1996-12-31T23:59:59.000Z

    The effect of major residual elements on the properties of steel products is summarized. Measures to minimize these elements are discussed including the pretreatment of raw materials, innovative refining processes and environmental issues. This paper addresses (1) scrap situation, (2) upper limit of residual concentrations acceptable for processing and product quality, (3) possible means to reduce the residuals, and (4) consideration on the practicable measures to solve the residuals problem in a systematic way. 52 refs.

  20. Burning Forest Residues231 Corstorphine Road www.forestry.gov.uk

    E-Print Network [OSTI]

    , for disposal of coppice, to reduce specific weeds and to aid land use conversion. BURNING RESIDUES: TYPES

  1. Residual Stress Relaxation and Microstructure in ZnO Thin Films Istem Ozena

    E-Print Network [OSTI]

    Yanikoglu, Berrin

    to be eliminated during deposition. Introduction In this study, the decay of the residual stressesResidual Stress Relaxation and Microstructure in ZnO Thin Films Istem Ozena and Mehmet Ali Gulgunb. a istem@sabanciuniv.edu b m-gulgun@sabanciuniv.edu Keywords: ZnO, thin films, residual stress

  2. NONLINEAR SAW PROPAGATION IN THIN-FILM SYSTEMS WITH RESIDUAL STRESS* R. E. Kumon

    E-Print Network [OSTI]

    harmonics. I. INTRODUCTION AND MOTIVATION The thin-film deposition process can create large residualNONLINEAR SAW PROPAGATION IN THIN-FILM SYSTEMS WITH RESIDUAL STRESS* R. E. Kumon National Institute is the residual stress. The effective elas- tic constants and density are given by Ceff ijkl = Cijkl(1 - eres

  3. Microstructure, residual stress, and fracture of sputtered TiN films Liqiang Zhang a

    E-Print Network [OSTI]

    Volinsky, Alex A.

    Microstructure, residual stress, and fracture of sputtered TiN films Liqiang Zhang a , Huisheng Keywords: TiN films Residual stress Hardness Fracture toughness Morphology, structure, residual stress, hardness, and fracture toughness of magnetron sputtered titanium nitride (TiN) thin films, deposited at 300

  4. Using mobile distributed pyrolysis facilities to deliver a forest residue resource for bio-fuel production

    E-Print Network [OSTI]

    Victoria, University of

    reduces the energy content of forest residues delivered to a bio-fuel facility as mobile facilities use by bio-oil, bio-slurry and torrefied wood is 45%, 65% and 87% of the initial forest residue energyUsing mobile distributed pyrolysis facilities to deliver a forest residue resource for bio

  5. Prediction of Protein Interaction Sites From Sequence Profile and Residue Neighbor List

    E-Print Network [OSTI]

    Weston, Ken

    Prediction of Protein Interaction Sites From Sequence Profile and Residue Neighbor List Huan Proteinprotein interaction sites are predicted from a neural network with sequence profiles correctly predicted residues account for 65% of the 11,805 residues making up the 129 interfaces. The main

  6. Environmental and economic evaluation of energy recovery from agricultural and forestry residues

    SciTech Connect (OSTI)

    None

    1980-09-01T23:59:59.000Z

    Four conversion methods and five residues are examined in this report, which describes six model systems: hydrolysis of corn residues, pyrolysis of corn residues, combustion of cotton-ginning residues, pyrolysis of wheat residues, fermentation of molasses, and combustion of pulp and papermill wastes. Estimates of material and energy flows for those systems are given per 10/sup 12/ Btu of recovered energy. Regional effects are incorporated by addressing the regionalized production of the residues. A national scope cannot be provided for every residue considered because of the biological and physical constraints of crop production. Thus, regionalization of the model systems to the primary production region for the crop from which the residue is obtained has been undertaken. The associated environmental consequences of residue utilization are then assessed for the production region. In addition, the environmental impacts of operating the model systems are examined by quantifying the residuals generated and the land, water, and material requirements per 10/sup 12/ Btu of energy generated. On the basis of estimates found in the literature, capital, operating, and maintenance cost estimates are given for the model systems. These data are also computed on the basis of 10/sup 12/ Btu of energy recovered. The cost, residual, material, land, and water data were then organized into a format acceptable for input into the SEAS data management program. The study indicates that the most serious environmental impacts arise from residue removal rather than from conversion.

  7. Submillimeter residual losses in high-{Tc} superconductors

    SciTech Connect (OSTI)

    Miller, D.

    1993-09-01T23:59:59.000Z

    Bolometry was used obtain accurate submillimeter residual loss data for epitaxial films of YBa{sub 2}Cu{sub 3}O{sub 7} (YBCO), Tl{sub 2}Ca{sub 2}Ba{sub 2}Cu{sub 3}O{sub 10}, Tl{sub 2}CaBa{sub 2}Cu{sub 2}O{sub 8} (TCBCO), and Ba{sub 0.6}K{sub 0.4}BiO{sub 3} (BKBO). We were able to fit the absorptivity measured for Nb films to an Eliashberg strong coupling calculation; excellent agreement resulted between parameters from best fits and measured Residual Resistivity Ratio. Microwave surface resistance measurements made on the same YBCO and TCBCO films are in excellent agreement with submillimeter measurements. Absorptivities for all YBCO films studied are qualitatively similar, increasing smoothly with frequency, with no gap-like features below the well known absorption edge at 450 cm{sup {minus}1}. Losses in YBCO films were fit to a weakly coupled grain model for the a-b plane conductivity. Strong phonon structure was observed in TCBCO films between 60 and 700 cm{sup {minus}1} (2 THz and 23 THz); these losses could not be fitted to the simple weakly coupled grain model, in contrast to the case for other high-{Tc} superconductors where phonon structure observed in ceramics are is absent in epitaxial oriented films and crystals because of electronic screening due to high conductivity of a-b planes. Absorptivity data for the BKBO films all show a strong absorption onset near the BCS tunneling gap of 3.5 k{sub B}{Tc}. Comparison with strong coupling Eliashberg predictions and of a Kramers-Kronig analysis indicate that the absorption onset is consistent with a superconducting energy gap. Effects of magnetic field on residual losses in YBCO films show a resonant absorption feature in vicinity of predicted

  8. Residual stresses in bakelite models induced by quenching

    E-Print Network [OSTI]

    Jarvi, Ray Victor

    1952-01-01T23:59:59.000Z

    and the bellows was extended to six inobes. Lifter proper focusing and using a Kodachrome type 4 film, separate piotures were made at openings f8, fll, f16, and f22 in order to provide for a suitable spread of exposure. Sodium vapor was used as the source... for determining the residual stresses or the elastic redistribution of stresses that occurs after the prototype has undergone some plastio deformation or heat treatment. The creep characteristics of bakelite, BT-61-893, become appreciable with temperatures...

  9. Radon transform on a space over a residue class ring

    SciTech Connect (OSTI)

    Molchanov, Vladimir F [Tambov State University, Tambov (Russian Federation)

    2012-05-31T23:59:59.000Z

    The functions on a space of dimension N over the residue class ring Z{sub n} modulo n that are invariant with respect to the group GL(N,Z{sub n}) form a commutative convolution algebra. We describe the structure of this algebra and find the eigenvectors and eigenvalues of the operators of multiplication by elements of this algebra. The results thus obtained are applied to solve the inverse problem for the hyperplane Radon transform on Z{sup N}{sub n}. Bibliography: 2 titles.

  10. Quarry residuals RI/FS scoping document. [Weldon Spring quarry

    SciTech Connect (OSTI)

    Not Available

    1991-10-01T23:59:59.000Z

    The purpose of this document is to serve as a planning tool for the implementation of the Quarry Residual Remedial Investigation/Feasibility Study (RI/FS) process and to provide direct input to revising and updating the 1988 Work Plan for the Weldon Spring Site Remedial Action Project (WSSRAP) Remedial Investigation/Feasibility Study-Environmental Impact Statement for the Weldon Spring Site (RI/FS-EIS) (Peterson et al. 1988) for this effort. The scoping process is intended to outline the tasks necessary to develop and implement activities in compliance with the Comprehensive Environmental Response, Compensation and Liability Act-National Environmental Policy Act (CERCLA-NEPA) process from detailed planning through the appropriate decision document. In addition to scoping the entire process, this document will serve as the primary tool for planning and accomplishing all activities to be developed in the Quarry Residual RI/FS Work Plan. Subsequent tasks are difficult to plan at this time. 10 refs., 5 figs., 5 tabs.

  11. Estimating Residual Solids Volume In Underground Storage Tanks

    SciTech Connect (OSTI)

    Clark, Jason L.; Worthy, S. Jason; Martin, Bruce A.; Tihey, John R.

    2014-01-08T23:59:59.000Z

    The Savannah River Site liquid waste system consists of multiple facilities to safely receive and store legacy radioactive waste, treat, and permanently dispose waste. The large underground storage tanks and associated equipment, known as the 'tank farms', include a complex interconnected transfer system which includes underground transfer pipelines and ancillary equipment to direct the flow of waste. The waste in the tanks is present in three forms: supernatant, sludge, and salt. The supernatant is a multi-component aqueous mixture, while sludge is a gel-like substance which consists of insoluble solids and entrapped supernatant. The waste from these tanks is retrieved and treated as sludge or salt. The high level (radioactive) fraction of the waste is vitrified into a glass waste form, while the low-level waste is immobilized in a cementitious grout waste form called saltstone. Once the waste is retrieved and processed, the tanks are closed via removing the bulk of the waste, chemical cleaning, heel removal, stabilizing remaining residuals with tailored grout formulations and severing/sealing external penetrations. The comprehensive liquid waste disposition system, currently managed by Savannah River Remediation, consists of 1) safe storage and retrieval of the waste as it is prepared for permanent disposition; (2) definition of the waste processing techniques utilized to separate the high-level waste fraction/low-level waste fraction; (3) disposition of LLW in saltstone; (4) disposition of the HLW in glass; and (5) closure state of the facilities, including tanks. This paper focuses on determining the effectiveness of waste removal campaigns through monitoring the volume of residual solids in the waste tanks. Volume estimates of the residual solids are performed by creating a map of the residual solids on the waste tank bottom using video and still digital images. The map is then used to calculate the volume of solids remaining in the waste tank. The ability to accurately determine a volume is a function of the quantity and quality of the waste tank images. Currently, mapping is performed remotely with closed circuit video cameras and still photograph cameras due to the hazardous environment. There are two methods that can be used to create a solids volume map. These methods are: liquid transfer mapping / post transfer mapping and final residual solids mapping. The task is performed during a transfer because the liquid level (which is a known value determined by a level measurement device) is used as a landmark to indicate solids accumulation heights. The post transfer method is primarily utilized after the majority of waste has been removed. This method relies on video and still digital images of the waste tank after the liquid transfer is complete to obtain the relative height of solids across a waste tank in relation to known and usable landmarks within the waste tank (cooling coils, column base plates, etc.). In order to accurately monitor solids over time across various cleaning campaigns, and provide a technical basis to support final waste tank closure, a consistent methodology for volume determination has been developed and implemented at SRS.

  12. A Multi-Factor Analysis of Sustainable Agricultural Residue Removal Potential

    SciTech Connect (OSTI)

    Jared Abodeely; David Muth; Paul Adler; Eleanor Campbell; Kenneth Mark Bryden

    2012-10-01T23:59:59.000Z

    Agricultural residues have significant potential as a near term source of cellulosic biomass for bioenergy production, but sustainable removal of agricultural residues requires consideration of the critical roles that residues play in the agronomic system. Previous work has developed an integrated model to evaluate sustainable agricultural residue removal potential considering soil erosion, soil organic carbon, greenhouse gas emission, and long-term yield impacts of residue removal practices. The integrated model couples the environmental process models WEPS, RUSLE2, SCI, and DAYCENT. This study uses the integrated model to investigate the impact of interval removal practices in Boone County, Iowa, US. Residue removal of 4.5 Mg/ha was performed annually, bi-annually, and tri-annually and were compared to no residue removal. The study is performed at the soil type scale using a national soil survey database assuming a continuous corn rotation with reduced tillage. Results are aggregated across soil types to provide county level estimates of soil organic carbon changes and individual soil type soil organic matter content if interval residue removal were implemented. Results show interval residue removal is possible while improving soil organic matter. Implementation of interval removal practices provide greater increases in soil organic matter while still providing substantial residue for bioenergy production.

  13. Quantification of residual stress from photonic signatures of fused silica

    SciTech Connect (OSTI)

    Cramer, K. Elliott; Yost, William T. [NASA Langley Research Center, Hampton, VA 23681 (United States); Hayward, Maurice [College of William and Mary, Williamsburg, VA 23185 (United States)

    2014-02-18T23:59:59.000Z

    A commercially available grey-field polariscope (GFP) instrument for photoelastic examination is used to assess impact damage inflicted upon the outer-most pane of Space Shuttle windows made from fused silica. A method and apparatus for calibration of the stress-optic coefficient using four-point bending is discussed. The results are validated on known material (acrylic) and are found to agree with literature values to within 6%. The calibration procedure is then applied to fused-silica specimens and the stress-optic coefficient is determined to be 2.43 0.54 10{sup ?12} Pa{sup ?1}. Fused silica specimens containing impacts artificially made at NASAs Hypervelocity Impact Technology Facility (HIT-F), to simulate damage typical during space flight, are examined. The damage sites are cored from fused silica window carcasses and examined with the GFP. The calibrated GFP measurements of residual stress patterns surrounding the damage sites are presented.

  14. Description of the prototype diagnostic residual gas analyzer for ITER

    SciTech Connect (OSTI)

    Younkin, T. R., E-mail: tyounkin@gatech.edu [Fusion and Materials for Nuclear Systems Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6169 (United States); Georgia Institute of Technology, Woodruff School of Mechanical Engineering Nuclear and Radiological Engineering Program, Atlanta, Georgia 30332 (United States); Biewer, T. M.; Klepper, C. C.; Marcus, C. [Fusion and Materials for Nuclear Systems Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6169 (United States)

    2014-11-15T23:59:59.000Z

    The diagnostic residual gas analyzer (DRGA) system to be used during ITER tokamak operation is being designed at Oak Ridge National Laboratory to measure fuel ratios (deuterium and tritium), fusion ash (helium), and impurities in the plasma. The eventual purpose of this instrument is for machine protection, basic control, and physics on ITER. Prototyping is ongoing to optimize the hardware setup and measurement capabilities. The DRGA prototype is comprised of a vacuum system and measurement technologies that will overlap to meet ITER measurement requirements. Three technologies included in this diagnostic are a quadrupole mass spectrometer, an ion trap mass spectrometer, and an optical penning gauge that are designed to document relative and absolute gas concentrations.

  15. Evaluation of the residue from microset on various metal surfaces.

    SciTech Connect (OSTI)

    Brumbach, Michael Todd

    2011-04-01T23:59:59.000Z

    Fast-curing impression materials are sometimes used to cast negative-mold replications of physical defects on material surfaces. The negative-mold impressions can then be used for further measurements to record the nature of the defect. These impression materials have been designed to cure quickly, and with very low adhesion, so that they can be easily removed from the surface leaving little residual contamination. Unfortunately, some contaminant is retained by the substrate material. This investigation seeks to identify the composition and quantity of the remaining material upon removal of Microset Synthetic Rubber Replicating Compound from several material surfaces. Coe-Flex was used as a relative comparison to Microset. On fifteen different substrate materials the Microset leaves no visible trace of contaminant, however, X-ray photoelectron spectroscopy shows evidence of a thin silicone-based contaminant film of approximately 2 nm thickness.

  16. Cost Methodology for Biomass Feedstocks: Herbaceous Crops and Agricultural Residues

    SciTech Connect (OSTI)

    Turhollow Jr, Anthony F [ORNL; Webb, Erin [ORNL; Sokhansanj, Shahabaddine [ORNL

    2009-12-01T23:59:59.000Z

    This report describes a set of procedures and assumptions used to estimate production and logistics costs of bioenergy feedstocks from herbaceous crops and agricultural residues. The engineering-economic analysis discussed here is based on methodologies developed by the American Society of Agricultural and Biological Engineers (ASABE) and the American Agricultural Economics Association (AAEA). An engineering-economic analysis approach was chosen due to lack of historical cost data for bioenergy feedstocks. Instead, costs are calculated using assumptions for equipment performance, input prices, and yield data derived from equipment manufacturers, research literature, and/or standards. Cost estimates account for fixed and variable costs. Several examples of this costing methodology used to estimate feedstock logistics costs are included at the end of this report.

  17. Residual Stress Determination for A Ferritic Steel Weld Plate

    SciTech Connect (OSTI)

    Wang, D.-Q.; Hubbard, C.R.; Spooner, S.

    1999-10-01T23:59:59.000Z

    The primary objective of this experiment is to demonstrate the capability of neutron diffraction technique to reproducibly map residual strains in a ferritic steel weld. The objective includes the identification of corrections for variations in metal composition due to the welding process which produces changes in lattice parameter that are not due to mechanical effects. The second objective is to develop and demonstrate a best practice for neutron diffraction strain mapping of steel welds. The appropriate coordinate system for the measurement of a weld, which is strongly distorted from planar geometry, has to be defined. The coordinate system is important in determining the procedures for mounting and positioning of the weld so that mapping details, especially in regions of high gradients, can be conveniently inter-compared between laboratories.

  18. Residue temperatures in intermediate energy nucleus-nucleus collisions

    SciTech Connect (OSTI)

    Xu, H.M.; Lynch, W.G.; Danielewicz, P. (National Superconducting Cyclotron Laboratory and Department of Physics, Michigan State University, East Lansing, Michigan 48824 (United States) Cyclotron Institute, Texas A M University, College Station, Texas 77843 (United States))

    1994-09-01T23:59:59.000Z

    With an improved Boltzmann-Uehling-Uhlenbeck (BUU) model, we have investigated the reaction dynamics leading to the thermal freeezout for [sup 40]Ar+[sup 124]Sn collisions. Several criteria are assessed for defining the proper thermal freezout time which separates preequilibrium processes from equilbrium processes. One of these criteria, the time dependence of the thermal excitation energy, provides consistent results for defining the thermal freezeout. The other two criteria, the emission rate of nucleons and the quadrupole moment of the momentum distributions, do not consistently provide accurate freezeout times due to the existence of long time scale collective vibrations. The predicted values for the excitation energies and temperatures, obtained assuming Fermi gas level densities, are quite sensitive to the equation of state and the impact parameter. Surprisingly, both the thermal excitation energies and the residue temperatures, in the limit of a large ensemble of parallel collisions, show little sensitivity to the in-medium nucleon-nucleon cross section.

  19. Residual energy in magnetohydrodynamic turbulence and in the solar wind

    E-Print Network [OSTI]

    Stanislav Boldyrev; Jean Carlos Perez; Vladimir Zhdankin

    2011-08-30T23:59:59.000Z

    Recent observations indicate that kinetic and magnetic energies are not in equipartition in the solar wind turbulence. Rather, magnetic fluctuations are more energetic and have somewhat steeper energy spectrum compared to the velocity fluctuations. This leads to the presence of the so-called residual energy E_r=E_v-E_b in the inertial interval of turbulence. This puzzling effect is addressed in the present paper in the framework of weak turbulence theory. Using a simple model of weakly colliding Alfv\\'en waves, we demonstrate that the kinetic-magnetic equipartition indeed gets broken as a result of nonlinear interaction of Alfv\\'en waves. We establish that magnetic energy is indeed generated more efficiently as a result of these interactions, which proposes an explanation for the solar wind observations.

  20. E-Print Network 3.0 - agricultural residues Sample Search Results

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

    Use in the United States Summary: , livestock commodities, agricultural residues, and bioenergy crops. Drawing on ORNL and APAC county... , developed and maintained at the...

  1. E-Print Network 3.0 - automobile shredder residue Sample Search...

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

    Search Powered by Explorit Topic List Advanced Search Sample search results for: automobile shredder residue Page: << < 1 2 3 4 5 > >> 1 NASHVILLE INCINERATOR PERFORMANCE TESTS...

  2. Neutron scattering residual stress measurements on gray cast iron brake discs

    SciTech Connect (OSTI)

    Spooner, S.; Payzant, E.A.; Hubbard, C.R. [and others

    1996-11-01T23:59:59.000Z

    Neutron diffraction was used to investigate the effects of a heat treatment designed to remove internal residual stresses in brake discs. It is believed that residual stresses may change the rate of deformation of the discs during severe braking conditions when the disc temperature is increased significantly. Neutron diffraction was used to map out residual strain distributions in a production disc before and after a stress-relieving heat treatment. Results from these neutron diffraction experiments show that some residual strains were reduced by as much as 400 microstrain by stress relieving. 5 refs., 5 figs., 1 tab.

  3. Table 42. Residual Fuel Oil Prices by PAD District and State

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

    Information AdministrationPetroleum Marketing Annual 1999 203 Table 42. Residual Fuel Oil Prices by PAD District and State (Cents per Gallon Excluding Taxes) - Continued...

  4. Table 42. Residual Fuel Oil Prices by PAD District and State

    Gasoline and Diesel Fuel Update (EIA)

    Information AdministrationPetroleum Marketing Annual 1998 203 Table 42. Residual Fuel Oil Prices by PAD District and State (Cents per Gallon Excluding Taxes) - Continued...

  5. Table A3. Refiner/Reseller Prices of Distillate and Residual...

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

    Marketing Annual 1999 441 Table A3. RefinerReseller Prices of Distillate and Residual Fuel Oils, by PAD District, 1983-Present (Cents per Gallon Excluding Taxes) - Continued...

  6. Table 42. Residual Fuel Oil Prices by PAD District and State

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration Petroleum Marketing Annual 1995 245 Table 42. Residual Fuel Oil Prices by PAD District and State (Cents per Gallon Excluding Taxes) - Continued...

  7. E-Print Network 3.0 - acs residual ischemic Sample Search Results

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

    Search Sample search results for: acs residual ischemic Page: << < 1 2 3 4 5 > >> 1 Brain Research 961 (2003) 2231 www.elsevier.comlocatebrainres Summary: further...

  8. E-Print Network 3.0 - acid residues required Sample Search Results

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

    Engineering, Columbia University Collection: Engineering ; Biology and Medicine 13 Protein folding with stochastic L-systems Gemma Danks1 Summary: 70 amino acid residues to 1000s...

  9. E-Print Network 3.0 - acid residues determine Sample Search Results

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

    Engineering, Columbia University Collection: Engineering ; Biology and Medicine 14 Protein folding with stochastic L-systems Gemma Danks1 Summary: 70 amino acid residues to 1000s...

  10. alters less-conserved residues: Topics by E-print Network

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

    The macroscopic stress evolution is connected to a length scale of residual liquefaction displayed by microscopic mean-squared displacements. The theory describes this...

  11. POST-OPERATIONAL TREATMENT OF RESIDUAL NA COOLLANT IN EBR-2 USING CARBONATION

    SciTech Connect (OSTI)

    Sherman, S.; Knight, C.

    2011-03-08T23:59:59.000Z

    At the end of 2002, the Experimental Breeder Reactor Two (EBR-II) facility became a U.S. Resource Conservation and Recovery Act (RCRA) permitted site, and the RCRA permit1 compelled further treatment of the residual sodium in order to convert it into a less reactive chemical form and remove the by-products from the facility, so that a state of RCRA 'closure' for the facility may be achieved (42 U.S.C. 6901-6992k, 2002). In response to this regulatory driver, and in recognition of project budgetary and safety constraints, it was decided to treat the residual sodium in the EBR-II primary and secondary sodium systems using a process known as 'carbonation.' In early EBR-II post-operation documentation, this process is also called 'passivation.' In the carbonation process (Sherman and Henslee, 2005), the system containing residual sodium is flushed with humidified carbon dioxide (CO{sub 2}). The water vapor in the flush gas reacts with residual sodium to form sodium hydroxide (NaOH), and the CO{sub 2} in the flush gas reacts with the newly formed NaOH to make sodium bicarbonate (NaHCO{sub 3}). Hydrogen gas (H{sub 2}) is produced as a by-product. The chemical reactions occur at the exposed surface of the residual sodium. The NaHCO{sub 3} layer that forms is porous, and humidified carbon dioxide can penetrate the NaHCO{sub 3} layer to continue reacting residual sodium underneath. The rate of reaction is controlled by the thickness of the NaHCO{sub 3} surface layer, the moisture input rate, and the residual sodium exposed surface area. At the end of carbonation, approximately 780 liters of residual sodium in the EBR-II primary tank ({approx}70% of original inventory), and just under 190 liters of residual sodium in the EBR-II secondary sodium system ({approx}50% of original inventory), were converted into NaHCO{sub 3}. No bare surfaces of residual sodium remained after treatment, and all remaining residual sodium deposits are covered by a layer of NaHCO{sub 3}. From a safety standpoint, the inventory of residual sodium in these systems was greatly reduced by using the carbonation process. From a regulatory standpoint, the process was not able to achieve deactivation of all residual sodium, and other more aggressive measures will be needed if the remaining residual sodium must also be deactivated to meet the requirements of the existing environmental permit. This chapter provides a project history and technical summary of the carbonation of EBR-II residual sodium. Options for future treatment are also discussed.

  12. An Integrated Model for Assessment of Sustainable Agricultural Residue Removal Limits for Bioenergy Systems

    SciTech Connect (OSTI)

    D. Muth; K. M. Bryden

    2003-12-01T23:59:59.000Z

    Agricultural residues have been identified as a significant potential resource for bioenergy production, but serious questions remain about the sustainability of harvesting residues. Agricultural residues play an important role in limiting soil erosion from wind and water and in maintaining soil organic carbon. Because of this, multiple factors must be considered when assessing sustainable residue harvest limits. Validated and accepted modeling tools for assessing these impacts include the Revised Universal Soil Loss Equation Version 2 (RUSLE2), the Wind Erosion Prediction System (WEPS), and the Soil Conditioning Index. Currently, these models do not work together as a single integrated model. Rather, use of these models requires manual interaction and data transfer. As a result, it is currently not feasible to use these computational tools to perform detailed sustainable agricultural residue availability assessments across large spatial domains or to consider a broad range of land management practices. This paper presents an integrated modeling strategy that couples existing datasets with the RUSLE2 water erosion, WEPS wind erosion, and Soil Conditioning Index soil carbon modeling tools to create a single integrated residue removal modeling system. This enables the exploration of the detailed sustainable residue harvest scenarios needed to establish sustainable residue availability. Using this computational tool, an assessment study of residue availability for the state of Iowa was performed. This study included all soil types in the state of Iowa, four representative crop rotation schemes, variable crop yields, three tillage management methods, and five residue removal methods. The key conclusions of this study are that under current management practices and crop yields nearly 26.5 million Mg of agricultural residue are sustainably accessible in the state of Iowa, and that through the adoption of no till practices residue removal could sustainably approach 40 million Mg. However, when considering the economics and logistics of residue harvest, yields below 2.25 Mg ha-1 are generally considered to not be viable for a commercial bioenergy system. Applying this constraint, the total agricultural residue resource available in Iowa under current management practices is 19 million Mg. Previously published results have shown residue availability from 22 million Mg to over 50 million Mg in Iowa.

  13. The influence of quench sensitivity on residual stresses in the aluminium alloys 7010 and 7075

    SciTech Connect (OSTI)

    Robinson, J.S., E-mail: jeremy.robinson@ul.ie [Materials and Surface Science Institute, University of Limerick (Ireland); Tanner, D.A. [Materials and Surface Science Institute, University of Limerick (Ireland); Truman, C.E. [Department of Mechanical Engineering, University of Bristol (United Kingdom); Paradowska, A.M. [ISIS Facility, Rutherford Appleton Laboratory, Didcot (United Kingdom); Wimpory, R.C. [Helmholtz Centre Berlin for Materials and Energy, Hahn Meitner Platz 1, Berlin (Germany)

    2012-03-15T23:59:59.000Z

    The most critical stage in the heat treatment of high strength aluminium alloys is the rapid cooling necessary to form a supersaturated solid solution. A disadvantage of quenching is that the thermal gradients can be sufficient to cause inhomogeneous plastic deformation which in turn leads to the development of large residual stresses. Two 215 mm thick rectilinear forgings have been made from 7000 series alloys with widely different quench sensitivity to determine if solute loss in the form of precipitation during quenching can significantly affect residual stress magnitudes. The forgings were heat treated and immersion quenched using cold water to produce large magnitude residual stresses. The through thickness residual stresses were measured by neutron diffraction and incremental deep hole drilling. The distribution of residual stresses was found to be similar for both alloys varying from highly triaxial and tensile in the interior, to a state of biaxial compression in the surface. The 7010 forging exhibited larger tensile stresses in the interior. The microstructural variation from surface to centre for both forgings was determined using optical and transmission electron microscopy. These observations were used to confirm the origin of the hardness variation measured through the forging thickness. When the microstructural changes were accounted for in the through thickness lattice parameter, the residual stresses in the two forgings were found to be very similar. Solute loss in the 7075 forging appeared to have no significant effect on the residual stress magnitudes when compared to 7010. - Highlights: Black-Right-Pointing-Pointer Through thickness residual stress measurements made on large Al alloy forgings. Black-Right-Pointing-Pointer Residual stress characterised using neutron diffraction and deep hole drilling. Black-Right-Pointing-Pointer Biaxial compressive surface and triaxial subsurface residual stresses. Black-Right-Pointing-Pointer Quench sensitivity of 7075 promotes significant microstructural differences to 7010. Black-Right-Pointing-Pointer When precipitation is accounted for, residual stress in both forgings are similar.

  14. Structural group analysis of residues from Athabasca bitumen

    SciTech Connect (OSTI)

    Gray, M.R.; Choi, J.H.K.; Egiebor, N.O.; Kirchen, R.P.; Sanford, E.C.

    1988-06-01T23:59:59.000Z

    Non-distillable fractions of hydrocarbons such as bitumen are a challenge for analysis because of their molecular complexity and high heteroatom content. One method for characterizing their composition is by analysis for a relatively small number of structures expected to predominate in the mixture, i.e. for the significant structural groups. Because NMR spectroscopy can give quantitative data on the distribution of hydrogen and carbon types, it is an ideal method for group-based analysis. This study uses a structural group formalism which combines data from several analytical methods into a single profile. Residue fractions derived from Athabasca bitumen were investigated to determine the different chemical structures which could have an impact on subsequent processing. Structural analysis is the identification of key structures from analytical data that characterize a complex mixture. Higher accuracy data, from elemental, /sup 1/H-NMR, IR and titration analyses, are used to construct balance equations which must be satisfied. The spectral envelope of /sup 13/C-NMR is more difficult to resolve quantatitively, and hence /sup 13/C-NMR data are used as constraints to compute the concentrations of structural groups. The mathematical notation and methods have been presented previously. The structural analysis transforms the spectrometric data into a more useable form; the maximum number of groups that can be calculated is limited to the number of useful analytical measurements.

  15. Recovery of flexible polyurethane foam from shredder residue.

    SciTech Connect (OSTI)

    Daniels, E. J.; Jody, b. J.

    1999-06-29T23:59:59.000Z

    Argonne National Laboratory has developed a patented, continuous process for the recovery of flexible polyurethane foam (PUF) from auto shredder residue (ASR). To test the process, Argonne researchers conceived of, designed, and built a continuous foam washing and drying system that was pilot-tested at a shredder facility for six months. Economic analysis of the process, using manufacturers' quotes and operating data from Argonne's pilot plant, indicates a payback of less than two years for a plant producing about 1,000 ton/yr of foam. Samples of clean foam were shipped to three major foam reprocessors; all three indicated that the quality of the PUF recovered by the Argonne process met their requirements. Tests of the recovered foam by an independent testing laboratory showed that the recycled foam met the specifications for several automotive applications, including carpet padding, headliner, and sound-suppression support materials. Recovery of foam reduces the mass and the volume of material going to the landfill by about 5% and 30%, respectively. Annually, recovery will save about 1.2 x 10{sup 12} Btu of energy, cut the amount of solid waste being landfilled by about 150,000 tons, and eliminate the emission of about 250 tons of volatile organic compounds (VOCs) into the air.

  16. Processing Effects for Integrated PZT: Residual Stress, Thickness, and Dielectric Properties

    E-Print Network [OSTI]

    Sottos, Nancy R.

    Processing Effects for Integrated PZT: Residual Stress, Thickness, and Dielectric Properties Ryan J (PZT) films integrated onto Pt/Ti/SiO2//Si substrates are reported. Sol­gel synthesis and deposition orientation (nominally (111) fiber tex- tured), and measured residual stress. The Stoney method, using laser

  17. UPTAKE, ASSIMILATION, AND LOSS OF DDT RESIDUES BY Euphausia pacifica, A EUPHAUSIID SHRIMP

    E-Print Network [OSTI]

    UPTAKE, ASSIMILATION, AND LOSS OF DDT RESIDUES BY Euphausia pacifica, A EUPHAUSIID SHRIMP ABSTRACT acquire sufficient DDT residue from its food to account for amounts found in its tissues. Assimilation effii- ciencies for DDT in ingested food are similar to published figures for assimilation of carbon

  18. Speciation of Sb in airborne particulate matter, vehicle brake linings, and brake pad wear residues

    E-Print Network [OSTI]

    Short, Daniel

    Speciation of Sb in airborne particulate matter, vehicle brake linings, and brake pad wear residues: XAS XANES EXAFS Antimony Particulate matter Brake linings a b s t r a c t Insights into the speciation of Sb in samples of brake linings, brake pad wear residues, road dust, and atmospheric particulate

  19. Measuring the Residual Ferrite Content of Rapidly Solidified Stainless Steel Alloys-

    E-Print Network [OSTI]

    Eagar, Thomas W.

    -Gage and ferrite meters have been developed to measure the amount of residual ferrite in duplex stainless steel) ) Measuring the Residual Ferrite Content of Rapidly Solidified Stainless Steel Alloys. Electron beam welds, laser beam welds and rapidly solidified stainless steel alloys have small physical

  20. Prediction of catalytic residues in proteins using machine-learning techniques

    E-Print Network [OSTI]

    Prediction of catalytic residues in proteins using machine-learning techniques Natalia V. Petrova) and prediction of protein function using various properties of proteins and amino acids (2). Prediction of the functional residues is a challenging and interesting task. The results of such prediction could

  1. Prediction of Interface Residues in ProteinProtein Complexes by a Consensus Neural Network Method: Test

    E-Print Network [OSTI]

    Weston, Ken

    Prediction of Interface Residues in ProteinProtein Complexes by a Consensus Neural Network Method important information for predicting struc- tures of new protein complexes. This motivated us to develop the PPISP method for predicting inter- face residues in proteinprotein complexes. In PPISP, sequence

  2. Management of high sulfur coal combustion residues, issues and practices: Proceedings

    SciTech Connect (OSTI)

    Chugh, Y.P.; Beasley, G.A. [eds.

    1994-10-01T23:59:59.000Z

    Papers presented at the following sessions are included in this proceedings: (1) overview topic; (2) characterization of coal combustion residues; (3) environmental impacts of residues management; (4) materials handling and utilization, Part I; and (5) materials handling and utilization, Part II. Selected paper have been processed separately for inclusion in the Energy Science and Technology Database.

  3. Residual Magnetic Flux Leakage: A Possible Tool for Studying Pipeline Defects

    E-Print Network [OSTI]

    Clapham, Lynann

    Residual Magnetic Flux Leakage: A Possible Tool for Studying Pipeline Defects Vijay Babbar1 weaker flux signals. KEY WORDS: Magnetic flux leakage; residual magnetization; pipeline defects; pipeline pipelines, which may develop defects such as corrosion pits as they age in service.(1) Under the ef- fect

  4. MALATHION RESIDUES IN GREEK HONEY Andreas T. THRASYVOULOU Michael D. IFANTIDIS Nikos L. PAPPAS*

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    -1982 were analyzed for malathion residues. Residues were extracted with acetonitrile/water solution, parti the north, the south, and some Greek islands as well. Reagents Acetonitrile - Nanograde (Mallinckrodt, Inc. Fifty ml of a 10/90 wa- ter/acetonitrile solution was added and the funnel shaken vigorously until

  5. Pharmacokinetic and residue studies of quinolone compounds and olaquindox in poultry

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Pharmacokinetic and residue studies of quinolone compounds and olaquindox in poultry A Anadón MR of these quinolones and fluoroquinolones for which clinical experience or experimental informa- tion exists in poultry residues in poultry. This paper presents information about the pharmacokinetic profile of olaquindox

  6. Justification of RHIC EBIS vacuum system. 1. Requirements to the pressure of residual gas inside the

    E-Print Network [OSTI]

    volume, the influx and accumulation of residual gas ions reduces the number of working ions in a trap for internal elements, technology of processing and equipment should be adequate. The components of the gasJustification of RHIC EBIS vacuum system. A. Pikin 1. Requirements to the pressure of residual gas

  7. RSE Pulp & Chemical, LLC (Subsidiary of Red Shield Environmental, LLC) |

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

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Careerlumens_placard-green.epsEnergy1.pdfMarket37963American |Purpose01/05/14RPAM Training

  8. RSE Table 1.1 Relative Standard Errors for Table 1.1

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End Users55,453.9061 Relative

  9. RSE Table 1.2 Relative Standard Errors for Table 1.2

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End Users55,453.9061

  10. RSE Table 10.10 Relative Standard Errors for Table 10.10

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End Users55,453.90610

  11. RSE Table 10.11 Relative Standard Errors for Table 10.11

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End Users55,453.906101

  12. RSE Table 10.12 Relative Standard Errors for Table 10.12

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End Users55,453.9061012

  13. RSE Table 10.13 Relative Standard Errors for Table 10.13

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End Users55,453.90610123

  14. RSE Table 2.1 Relative Standard Errors for Table 2.1

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End Users55,453.906101232.1

  15. RSE Table 3.1 Relative Standard Errors for Table 3.1

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End Users55,453.906101232.11

  16. RSE Table 3.2 Relative Standard Errors for Table 3.2

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End Users55,453.906101232.112

  17. RSE Table 3.5 Relative Standard Errors for Table 3.5

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End

  18. RSE Table 4.1 Relative Standard Errors for Table 4.1

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative Standard Errors

  19. RSE Table 4.2 Relative Standard Errors for Table 4.2

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative Standard

  20. RSE Table 5.1 Relative Standard Errors for Table 5.1

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative Standard1

  1. RSE Table 5.2 Relative Standard Errors for Table 5.2

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative Standard12

  2. RSE Table 5.4 Relative Standard Errors for Table 5.4

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative Standard124

  3. RSE Table 5.5 Relative Standard Errors for Table 5.5

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative Standard1245

  4. RSE Table 5.6 Relative Standard Errors for Table 5.6

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative Standard12456

  5. RSE Table 5.7 Relative Standard Errors for Table 5.7

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative Standard124567

  6. RSE Table 5.8 Relative Standard Errors for Table 5.8

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative Standard1245678

  7. RSE Table 7.10 Relative Standard Errors for Table 7.10

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative

  8. RSE Table 7.3 Relative Standard Errors for Table 7.3

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3 Relative

  9. RSE Table 7.4 Relative Standard Errors for Table 7.4

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3 Relative4

  10. RSE Table 7.5 Relative Standard Errors for Table 7.5

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3 Relative45

  11. RSE Table 7.6 Relative Standard Errors for Table 7.6

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3 Relative456

  12. RSE Table 7.7 Relative Standard Errors for Table 7.7

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3 Relative4567

  13. RSE Table 7.9 Relative Standard Errors for Table 7.9

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3 Relative45679

  14. RSE Table 8.2 Relative Standard Errors for Table 8.2

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3 Relative456792

  15. Experimental determination of residual stress by neutron diffraction in a boiling water reactor core shroud

    SciTech Connect (OSTI)

    Payzant, A.; Spooner, S.; Zhu, Xiaojing; Hubbard, C.R. [and others

    1996-06-01T23:59:59.000Z

    Residual strains in a 51 mm (2-inch) thick 304L stainless steel plate have been measured by neutron diffraction and interpreted in terms of residual stress. The plate, measuring (300 mm) in area, was removed from a 6m (20-ft.) diameter unirradiated boiling water reactor core shroud, and included a multiple-pass horizontal weld which joined two of the cylindrical shells which comprise the core shroud. Residual stress mapping was undertaken in the heat affected zone, concentrating on the outside half of the plate thickness. Variations in residual stresses with location appeared consistent with trends expected from finite element calculations, considering that a large fraction of the residual hoop stress was released upon removal of the plate from the core shroud cylinder.

  16. Neutron diffraction measurements of residual stresses in friction stir welding: a review

    SciTech Connect (OSTI)

    Woo, Wan Chuck [ORNL; Feng, Zhili [ORNL; Wang, Xun-Li [ORNL; David, Stan A [ORNL

    2011-01-01T23:59:59.000Z

    Significant amounts of residual stresses are often generated during welding and result in critical degradation of the structural integrity and performance of components. Neutron diffraction has become a well established technique for the determination of residual stresses in welds because of the unique deep penetration, three-dimensional mapping capability, and volume averaged bulk measurements characteristic of the scattering neutron beam. Friction stir welding has gained prominence in recent years. The authors reviewed a number of neutron diffraction measurements of residual stresses in friction stir welds and highlighted examples addressing how the microstructures and residual stresses are correlated with each other. An example of in situ neutron diffraction measurement result shows the evolution of the residual stresses during welding.

  17. Application of neutron diffraction to measure residual strains in high temperature composites

    SciTech Connect (OSTI)

    Saigal, A. (Tufts Univ., Medford, MA (USA). Dept. of Mechanical Engineering); Kupperman, D.S. (Argonne National Lab., IL (USA))

    1991-01-01T23:59:59.000Z

    An experimental neutron diffraction technique was used to measure residual thermal strains developed in high temperature composites during postfabrication cooling. Silicon carbide fiber-reinforced titanium aluminide (over the temperature range 20--950{degree}C) and tungsten and saphikon fiber-reinforced nickel aluminide composites (at room temperature) were investigated. As a result of thermal expansion mismatch, compressive residual strains and stresses were generated in the silicon carbide fibers during cooldown. The axial residual strains were tensile in the matrix and were lower in nickel aluminide matrix as compared to those in titanium aluminide matrix. The average transverse residual strains in the matrix were compressive. Liquid-nitrogen dipping and thermal-cycling tend to reduce the fabrication-induced residual strains in silicon carbide fiber-reinforced titanium aluminide matrix composite. However, matrix cracking can occur as a result of these processes. 10 refs., 5 figs., 2 tabs.

  18. Tidal Residual Eddies and their Effect on Water Exchange in Puget Sound

    SciTech Connect (OSTI)

    Yang, Zhaoqing; Wang, Taiping

    2013-08-30T23:59:59.000Z

    Tidal residual eddies are one of the important hydrodynamic features in tidally dominant estuaries and coastal bays, and they could have significant effects on water exchange in a tidal system. This paper presents a modeling study of tides and tidal residual eddies in Puget Sound, a tidally dominant fjord-like estuary in the Pacific Northwest coast, using a three-dimensional finite-volume coastal ocean model. Mechanisms of vorticity generation and asymmetric distribution patterns around an island/headland were analyzed using the dynamic vorticity transfer approach and numerical experiments. Model results of Puget Sound show that a number of large twin tidal residual eddies exist in the Admiralty Inlet because of the presence of major headlands in the inlet. Simulated residual vorticities near the major headlands indicate that the clockwise tidal residual eddy (negative vorticity) is generally stronger than the anticlockwise eddy (positive vorticity) because of the effect of Coriolis force. The effect of tidal residual eddies on water exchange in Puget Sound and its sub-basins were evaluated by simulations of dye transport. It was found that the strong transverse variability of residual currents in the Admiralty Inlet results in a dominant seaward transport along the eastern shore and a dominant landward transport along the western shore of the Inlet. A similar transport pattern in Hood Canal is caused by the presence of tidal residual eddies near the entrance of the canal. Model results show that tidal residual currents in Whidbey Basin are small in comparison to other sub-basins. A large clockwise residual circulation is formed around Vashon Island near entrance of South Sound, which can potentially constrain the water exchange between the Central Basin and South Sound.

  19. PCB (polychlorinated biphenyl) residues in transformer carcasses: Final report

    SciTech Connect (OSTI)

    Rouse, T.O.; Raymond, C.T.; Fessler, W.A.

    1989-08-01T23:59:59.000Z

    This project had three objectives. The first was to assess the population of PCB-containing transformers remaining in service in the US in 1988. While this could not be done with great precision, it appears that the population of oil-filled transformers containing > 50 /mu/g PCB/g oil has decreased by some 15% since 1982 and that the population of askarel-filled transformers has decreased by some 40% in the same time period. This progress could be continued and accelerated if additional reliable and accepted routes for disposal of PCBs contained in transformers would be developed. The second and third objectives of this project have been to examine two simplified approaches to this end. The second objective was to determine if, by draining PCB-containing oil from transformers and refilling with PCB-free oil, a level of PCBs below 50 ppM (/mu/g/g oil) could be reached with assurance. It appears that reclassification of ''PCB-contaminated'' oil-filled transformers (50--500 /mu/g PCB/g oil) of all ratings by draining and refilling could be done routinely. The third objective was to determine the level of residual PCBs left on the metallic surfaces of askarel-filled transformers which, if these units were refilled with PCB-free mineral transformer oil, would have resulted in concentrations of <50 /mu/g PCB/g oil. It appears that cleaning the surfaces of the metallic components, after careful separation and disposal of the liquid and impregnated solid insulations, to a level of 400 /mu/gPCB/100 cm/sup 2/ would result in transformer carcasses of all sizes which would contain less PCBs than would be found were these transformers to have contained oil at the level of 50 /mu/gPCB/g oil. 7 refs., 6 figs., 9 tabs.

  20. Auto shredder residue recycling: Mechanical separation and pyrolysis

    SciTech Connect (OSTI)

    Santini, Alessandro [Department of Industrial Chemistry and Materials, University of Bologna, Viale Risorgimento 4, I-40136 Bologna (Italy); Passarini, Fabrizio, E-mail: fabrizio.passarini@unibo.it [Department of Industrial Chemistry and Materials, University of Bologna, Viale Risorgimento 4, I-40136 Bologna (Italy); Vassura, Ivano [Department of Industrial Chemistry and Materials, University of Bologna, Viale Risorgimento 4, I-40136 Bologna (Italy); Serrano, David; Dufour, Javier [Department of Chemical and Energy Technology, ESCET, Universidad Rey Juan Carlos, c/Tulipan s/n, 28933 Mostoles, Madrid (Spain); Instituto IMDEA Energy, c/Tulipan s/n, 28933 Mostoles, Madrid (Spain); Morselli, Luciano [Department of Industrial Chemistry and Materials, University of Bologna, Viale Risorgimento 4, I-40136 Bologna (Italy)

    2012-05-15T23:59:59.000Z

    Highlights: Black-Right-Pointing-Pointer In this work, we exploited mechanical separation and pyrolysis to recycle ASR. Black-Right-Pointing-Pointer Pyrolysis of the floating organic fraction is promising in reaching ELV Directive targets. Black-Right-Pointing-Pointer Zeolite catalyst improve pyrolysis oil and gas yield. - Abstract: sets a goal of 85% material recycling from end-of-life vehicles (ELVs) by the end of 2015. The current ELV recycling rate is around 80%, while the remaining waste is called automotive shredder residue (ASR), or car fluff. In Europe, this is mainly landfilled because it is extremely heterogeneous and often polluted with car fluids. Despite technical difficulties, in the coming years it will be necessary to recover materials from car fluff in order to meet the ELV Directive requirement. This study deals with ASR pretreatment and pyrolysis, and aims to determine whether the ELV material recycling target may be achieved by car fluff mechanical separation followed by pyrolysis with a bench scale reactor. Results show that flotation followed by pyrolysis of the light, organic fraction may be a suitable ASR recycling technique if the oil can be further refined and used as a chemical. Moreover, metals are liberated during thermal cracking and can be easily separated from the pyrolysis char, amounting to roughly 5% in mass. Lastly, pyrolysis can be a good starting point from a 'waste-to-chemicals' perspective, but further research should be done with a focus on oil and gas refining, in order both to make products suitable for the chemical industry and to render the whole recycling process economically feasible.

  1. Effects of weld residual stresses on crack-opening area analysis of pipes for LBB applications

    SciTech Connect (OSTI)

    Dong, P.; Rahman, S.; Wilkowski, G. [and others

    1997-04-01T23:59:59.000Z

    This paper summarizes four different studies undertaken to evaluate the effects of weld residual stresses on the crack-opening behavior of a circumferential through-wall crack in the center of a girth weld. The effect of weld residual stress on the crack-opening-area and leak-rate analyses of a pipe is not well understood. There are no simple analyses to account for these effects, and, therefore, they are frequently neglected. The four studies involved the following efforts: (1) Full-field thermoplastic finite element residual stress analyses of a crack in the center of a girth weld, (2) A comparison of the crack-opening displacements from a full-field thermoplastic residual stress analysis with a crack-face pressure elastic stress analysis to determine the residual stress effects on the crack-opening displacement, (3) The effects of hydrostatic testing on the residual stresses and the resulting crack-opening displacement, and (4) The effect of residual stresses on crack-opening displacement with different normal operating stresses.

  2. Sustainable Agricultural Residue Removal for Bioenergy: A Spatially Comprehensive National Assessment

    SciTech Connect (OSTI)

    D. Muth, Jr.; K. M. Bryden; R. G. Nelson

    2013-02-01T23:59:59.000Z

    This study provides a spatially comprehensive assessment of sustainable agricultural residue removal potential across the United States. Earlier assessments determining the quantity of agricultural residue that could be sustainably removed for bioenergy production at the regional and national scale faced a number of computational limitations. These limitations included the number of environmental factors, the number of land management scenarios, and the spatial fidelity and spatial extent of the assessment. This study utilizes integrated multi-factor environmental process modeling and high fidelity land use datasets to perform a spatially comprehensive assessment of sustainably removable agricultural residues across the conterminous United States. Soil type represents the base spatial unit for this study and is modeled using a national soil survey database at the 10 100 m scale. Current crop rotation practices are identified by processing land cover data available from the USDA National Agricultural Statistics Service Cropland Data Layer database. Land management and residue removal scenarios are identified for each unique crop rotation and crop management zone. Estimates of county averages and state totals of sustainably available agricultural residues are provided. The results of the assessment show that in 2011 over 150 million metric tons of agricultural residues could have been sustainably removed across the United States. Projecting crop yields and land management practices to 2030, the assessment determines that over 207 million metric tons of agricultural residues will be able to be sustainably removed for bioenergy production at that time.

  3. Injection, flow, and mixing of CO2 in porous media with residual gas.

    SciTech Connect (OSTI)

    Oldenburg, C.M.; Doughty, C.A.

    2010-09-01T23:59:59.000Z

    Geologic structures associated with depleted natural gas reservoirs are desirable targets for geologic carbon sequestration (GCS) as evidenced by numerous pilot and industrial-scale GCS projects in these environments world-wide. One feature of these GCS targets that may affect injection is the presence of residual CH{sub 4}. It is well known that CH{sub 4} drastically alters supercritical CO{sub 2} density and viscosity. Furthermore, residual gas of any kind affects the relative permeability of the liquid and gas phases, with relative permeability of the gas phase strongly dependent on the time-history of imbibition or drainage, i.e., dependent on hysteretic relative permeability. In this study, the effects of residual CH{sub 4} on supercritical CO{sub 2} injection were investigated by numerical simulation in an idealized one-dimensional system under three scenarios: (1) with no residual gas; (2) with residual supercritical CO{sub 2}; and (3) with residual CH{sub 4}. We further compare results of simulations that use non-hysteretic and hysteretic relative permeability functions. The primary effect of residual gas is to decrease injectivity by decreasing liquid-phase relative permeability. Secondary effects arise from injected gas effectively incorporating residual gas and thereby extending the mobile gas plume relative to cases with no residual gas. Third-order effects arise from gas mixing and associated compositional effects on density that effectively create a larger plume per unit mass. Non-hysteretic models of relative permeability can be used to approximate some parts of the behavior of the system, but fully hysteretic formulations are needed to accurately model the entire system.

  4. Evaluation of low-residue soldering for military and commercial applications: A report from the Low-Residue Soldering Task Force

    SciTech Connect (OSTI)

    Iman, R.L.; Anderson, D.J. [Sandia National Labs., Albuquerque, NM (United States); Burress, R.V. [SEHO (United States)] [and others

    1995-06-01T23:59:59.000Z

    The LRSTF combined the efforts of industry, military, and government to evaluate low-residue soldering processes for military and commercial applications. These processes were selected for evaluation because they provide a means for the military to support the presidential mandate while producing reliable hardware at a lower cost. This report presents the complete details and results of a testing program conducted by the LRSTF to evaluate low-residue soldering for printed wiring assemblies. A previous informal document provided details of the test plan used in this evaluation. Many of the details of that test plan are contained in this report. The test data are too massive to include in this report, however, these data are available on disk as Excel spreadsheets upon request. The main purpose of low-residue soldering is to eliminate waste streams during the manufacturing process.

  5. Community-wide benefits of targeted indoor residual spray for malaria control in the Western Kenya Highland

    E-Print Network [OSTI]

    Zhou, Guofa; Githeko, Andrew K; Minakawa, Noboru; Yan, Guiyun

    2010-01-01T23:59:59.000Z

    ecological settings [4]. Among those control measures, insecticide- treated bed nets (ITNs) and indoor residual-house

  6. 3D residual stress field in arteries: novel inverse method based on optical full-field measurements

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    -stretch and residual stresses arise in arteries largely due to the deposition of stable, highly elastic, elastin during1 3D residual stress field in arteries: novel inverse method based on optical full over time. This gives rise to residual stresses contributing to the homeostatic state of stress in vivo

  7. Close electric field signatures of dart leader//return stroke sequences in rocket-triggered lightning showing residual fields

    E-Print Network [OSTI]

    Florida, University of

    to 30 m deposited by the leader but presumably left unneutralized by the return stroke. This residual-triggered lightning showing residual fields V. A. Rakov and V. Kodali Department of Electrical and Computer and 30 m from the negative lightning channel are used to examine the so-called residual electric field

  8. Experimental study of the residual stress-induced self-assembly of MEMS structures during deposition

    E-Print Network [OSTI]

    Kim, Sang-Hyun

    2005-11-01T23:59:59.000Z

    The possibility of using residual stresses favorably as a means of self-assembling MEMS during material deposition is experimentally investigated. Two atomic force microscope cantilevers are placed in contact at their free ends. Material...

  9. Vehicle Technologies Office Merit Review 2014: Residual Stress of Bimetallic Joints and Characterization

    Broader source: Energy.gov [DOE]

    Presentation given by Oak Ridge National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about residual stress...

  10. Hanford Tank 241-S-112 Residual Waste Composition and Leach Test Data

    SciTech Connect (OSTI)

    Cantrell, Kirk J.; Krupka, Kenneth M.; Geiszler, Keith N.; Lindberg, Michael J.; Arey, Bruce W.; Schaef, Herbert T.

    2008-08-29T23:59:59.000Z

    This report presents the results of laboratory characterization and testing of two samples (designated 20406 and 20407) of residual waste collected from tank S-112 after final waste retrieval. These studies were completed to characterize the residual waste and assess the leachability of contaminants from the solids. This is the first report from this PNNL project to describe the composition and leach test data for residual waste from a salt cake tank. All previous PNNL reports (Cantrell et al. 2008; Deutsch et al. 2006, 2007a, 2007b, 2007c) describing contaminant release models, and characterization and testing results for residual waste in single-shell tanks were based on samples from sludge tanks.

  11. Root cause analysis of solder flux residue incidence in the manufacture of electronic power modules

    E-Print Network [OSTI]

    Jain, Pranav

    2011-01-01T23:59:59.000Z

    This work investigates the root causes of the incidence of solder flux residue underneath electronic components in the manufacture of power modules. The existing deionized water-based centrifugal cleaning process was ...

  12. Residual stresses and retained austenite distribution and evolution in SAE 52100 steel under rolling contact loading

    SciTech Connect (OSTI)

    Dommarco, R.C. [Univ. Nac Mar del Plata (Argentina); Kozaczek, K.J. [Oak Ridge National Lab., TN (United States); Hahn, G.T. [Vanderbilt Univ., Nashville, TN (United States)

    1996-07-01T23:59:59.000Z

    Residual stresses are introduced and modified during manufacturing and also by normal use. In this paper the changes in magnitude and distribution of residual stresses, attending the strain induced transformation of retained austenite are examined. Tests were conducted on SAE 52100 bearing steel with different amounts of retained austenite in a 5-ball-rod rolling contact fatigue machine. The tests were accelerated by applying well-controlled micro- indentations on the wear track and using rough balls. The magnitude and distribution of residual stresses and retained austenite were measured using x-ray diffraction techniques. The contribution of the residual stresses and amount of retained austenite to the rolling contact fatigue life is analyzed.

  13. E-Print Network 3.0 - atp binding residues Sample Search Results

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

    Search Powered by Explorit Topic List Advanced Search Sample search results for: atp binding residues Page: << < 1 2 3 4 5 > >> 1 Asymmetric deceleration of ClpB or Hsp104...

  14. Minimizing Actuator-Induced Residual Error in Active Space Telescope Primary Mirrors

    E-Print Network [OSTI]

    . Smith, David W. Miller September 2010 SSL #12-10 #12;#12;Minimizing Actuator-Induced Residual Error in Active Space Telescope Primary Mirrors Matthew W. Smith, David W. Miller September 2010 SSL #12

  15. Rangeland Risk Management for Texans: Managing Residual Forage for Rangeland Health

    E-Print Network [OSTI]

    Hanselka, C. Wayne; White, Larry D.; Holechek, Jerry L.

    2002-01-11T23:59:59.000Z

    Livestock grazing is a tool for managing economic and climatic risk. Overgrazing increases a producer's risk should drought occur or market prices decline. This publication explains the importance of leaving enough forage residue to protect against...

  16. Table 42. Residual Fuel Oil Prices by PAD District and State

    Gasoline and Diesel Fuel Update (EIA)

    45.5 49.2 W W 44.5 45.4 See footnotes at end of table. 42. Residual Fuel Oil Prices by PAD District and State Energy Information Administration Petroleum...

  17. Table A3. Refiner/Reseller Prices of Distillate and Residual...

    Gasoline and Diesel Fuel Update (EIA)

    A3. RefinerReseller Prices of Distillate and Residual Fuel Oils, by PAD District, 1983-Present (Cents per Gallon Excluding Taxes) Geographic Area Year No. 1 Distillate No. 2...

  18. Table 42. Residual Fuel Oil Prices by PAD District and State

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

    55.1 47.1 W W 55.1 46.2 See footnotes at end of table. 42. Residual Fuel Oil Prices by PAD District and State Energy Information Administration Petroleum...

  19. Evaluation of residual stress gradients in ductile cast iron using critical refracted longitudinal (Lcr) wave technique

    E-Print Network [OSTI]

    Pfluger, Ron Atlan

    1995-01-01T23:59:59.000Z

    improper or unnecessary heat-treatments extremely costly. Knowledge of the residual stress ipudient can make production of the component much more efficient and economicaL This knowledge could also be used to predict service life of components...

  20. US Apple Association Having an Impact Insecticide Residues in Apple Juice

    E-Print Network [OSTI]

    Ginzel, Matthew

    weeks ago we would have said two weeks early, right now we're saying maybe a week early. The cool syrup, soybeans, and milk for residues of a number of different pesticides. While I hate to bore you

  1. E-Print Network 3.0 - acid residues responsible Sample Search...

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

    King Fahd University of Petroleum and Minerals Collection: Fossil Fuels 4 Protein folding with stochastic L-systems Gemma Danks1 Summary: 70 amino acid residues to 1000s...

  2. Using mobile distributed pyrolysis facilities to deliver a forest residue resource for bio-fuel production.

    E-Print Network [OSTI]

    Brown, Duncan

    2013-01-01T23:59:59.000Z

    ??Distributed mobile conversion facilities using either fast pyrolysis or torrefaction processes can be used to convert forest residues to more energy dense substances (bio-oil, bio-slurry (more)

  3. Characterization of residual stress relaxation in welded steel plate using TAP-NDE and wavelets.

    E-Print Network [OSTI]

    Jhun, Choon-Sik

    2012-01-01T23:59:59.000Z

    ??This thesis presents the characterization of residual stress relaxation in a welded ASTM 1018 steel plate by using the Thermo-Acousto-Photonic Nondestructive Evaluation (TAP-NDE) technique and (more)

  4. Control of residual aluminum from conventional treatment to improve reverse osmosis performance

    E-Print Network [OSTI]

    Gabelich, C J; Ishida, K P; Gerringer, F W; Evangelista, R; Kalyan, M; Suffet, I H

    2006-01-01T23:59:59.000Z

    2005. The Role of Dissolved Aluminum in Silica Chemistry forDraft Public Health Goal for Aluminum in Drinking Water .1994. Control of Residual Aluminum in Filtered Water . AWWA,

  5. Recovery of the Shear Modulus and Residual Stress of Hyperelastic Soft Tissues by Inverse Spectral Techniques

    E-Print Network [OSTI]

    Gou, Kun 1981-

    2012-11-15T23:59:59.000Z

    frequencies of the vessel wall material. As the IVUS is interrogating inside the artery, it produces small amplitude, high frequency time harmonic vibrations superimposed on the quasistatic deformation of the blood pressure pre-stressed and residually...

  6. A New Analytical Method to Quantify Residual Fluid Cleanup in Hydraulic Fractures

    E-Print Network [OSTI]

    Zarrin, Tahira

    2014-04-17T23:59:59.000Z

    hydraulic fracturing fluid has always been a major issue, and is believed to drastically undermine the performance of hydraulically fractured wells. Several attempts have been made to quantify the damage associated with residual fluid, with varying level...

  7. A survey of DDT residues in fish from the Brazos and Navasota Rivers and Somerville Reservoir

    E-Print Network [OSTI]

    Kramer, Robert Edwin

    1971-01-01T23:59:59.000Z

    A SURVEY OF DDT RESIDUES IN FISH FROM THE BRAZOS AND NAVASOTA RIVERS AND SOMERVILLE RESERVOIR A Thesis by ROBERT EDNIN KRAMER Submitted to the Graduate College of Texas AKIM University in partial fulfillment of the requirement for the degree... of MASTER OF SCIENCE December 1971 Major Subject: Entomology A SURVEY OF DDT RESIDUES IN FISH FROM THE BRAZOS AND NAVASOTA RIVERS AND SOMERVILLE RESERVOIR A Thesis by ROBERT EDWIN KRAMER Approved as to style and content by (Chai rman of Committee...

  8. Deformations associated with relaxation of residual stresses in the Barre Granite of Vermont

    E-Print Network [OSTI]

    Nichols, Thomas Chester

    1972-01-01T23:59:59.000Z

    DEFORMATIONS ASSOCIATED WITH RELAXATION OF RESIDUAL STRESSES IN THE BARRE GRANITE OF VERMONT A Thesis by THOMAS CHESTER NICHOLS, JR. Submitted to the Graduate College of Texas AfM University in Partial fulfillment of the requirements... for the degree of MASTER QF SCIENCE May, 1972 Major Subject: Geology DEFORMATIONS ASSOCIATED WITH RELAXATION OF RESIDUAL STRESSES IN THE BARRE GRANITE OF VERMONT A Thesis THOMAS CHESTER NICHOLS, JR. Approved as to style and content by: airman o Committee...

  9. Time dependent ellipsoidal residual velocity distributions for self-gravitating systems of collisionless particles

    E-Print Network [OSTI]

    Simms, Frank Robert

    1973-01-01T23:59:59.000Z

    TIME DEPENDENT ELLIPSOIDAL RESIDUAL VELOCITY DISTRIBUTIONS FOR SELF-GRAVITATING SYSTEMS OF COLLISIONLESS PARTICLES A Thesis by FRANK ROBERT SINS Submitted to the Graduate College of Texas A&M University in partial fulfillment... of the requirement for the degree of MASTER OF SCIENCE May 1973 Major Subject: Physi cs TIME DEPENDENT ELLIPSOIDAL RESIDUAL VELOCITY DISTRIBUTIONS FOR SELF-GRAVITATING SYSTEMS OF COLLISIONLESS PARTICLES A Thesis by FRANK ROBERT SIMMS Approved as to style...

  10. Polymorphisms at amino acid residues 141 and 154 influence conformational variation in ovine PrP

    E-Print Network [OSTI]

    Yang, Sujeong; Thackray, Alana M.; Hopkins, Lee; Monie, Tom P.; Burke, David F.; Bujdoso, Raymond

    2014-07-14T23:59:59.000Z

    of helix-2, and the N- terminal region of helix-3. This central core is bound by an intramolecular disulphide bond between amino acid residues in helix-2 and helix-3. Characterisation of the protein folding events that occur during the conformational change... requirements of the particular protein fold or to particular functions mediated by interactions with other molecules. Crescendo conservation scores associated with every amino acid residue was assigned to the three-dimensional coordi- nate of the atommost...

  11. Determine metrics and set targets for soil quality on agriculture residue and energy crop pathways

    SciTech Connect (OSTI)

    Ian Bonner; David Muth

    2013-09-01T23:59:59.000Z

    There are three objectives for this project: 1) support OBP in meeting MYPP stated performance goals for the Sustainability Platform, 2) develop integrated feedstock production system designs that increase total productivity of the land, decrease delivered feedstock cost to the conversion facilities, and increase environmental performance of the production system, and 3) deliver to the bioenergy community robust datasets and flexible analysis tools for establishing sustainable and viable use of agricultural residues and dedicated energy crops. The key project outcome to date has been the development and deployment of a sustainable agricultural residue removal decision support framework. The modeling framework has been used to produce a revised national assessment of sustainable residue removal potential. The national assessment datasets are being used to update national resource assessment supply curves using POLYSIS. The residue removal modeling framework has also been enhanced to support high fidelity sub-field scale sustainable removal analyses. The framework has been deployed through a web application and a mobile application. The mobile application is being used extensively in the field with industry, research, and USDA NRCS partners to support and validate sustainable residue removal decisions. The results detailed in this report have set targets for increasing soil sustainability by focusing on primary soil quality indicators (total organic carbon and erosion) in two agricultural residue management pathways and a dedicated energy crop pathway. The two residue pathway targets were set to, 1) increase residue removal by 50% while maintaining soil quality, and 2) increase soil quality by 5% as measured by Soil Management Assessment Framework indicators. The energy crop pathway was set to increase soil quality by 10% using these same indicators. To demonstrate the feasibility and impact of each of these targets, seven case studies spanning the US are presented. The analysis has shown that the feedstock production systems are capable of simultaneously increasing productivity and soil sustainability.

  12. Growth response of selected vegetable species to plant residue of guar (Cyamopsis tetragonoloba (L.) Taub.)

    E-Print Network [OSTI]

    Reid, Debbie John

    1992-01-01T23:59:59.000Z

    GROWTH RESPONSE OF SELECTED VEGETABLE SPECIES TO PLANT RESIDUE OF GUAR (Cyamopsis tetragonoloba (L. ) Taub. ) A Thesis by DEBBIE JOHN REID Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment... of the requirements for the degree of MASTER OF SCIENCE December 1992 Major Subject: Horticulture GROWTH RESPONSE OF SELECTED VEGETABLE SPECIES TO PLANT RESIDUE OF GUAR (Cyamopsis tetragonoloba (L. ) Taub. ) A Thesis by DEBBIE JOHN REID Approved as to style...

  13. Residual thermal stresses in an unsymmetrical cross-ply graphite/epoxy laminate

    E-Print Network [OSTI]

    Harper, Brian Douglas

    2012-06-07T23:59:59.000Z

    RESIDUAL THERMAL STRESSES IN AN UNSYMMETRICAL CROSS-PLY GRAPHITE/EPOXY LAMINATE A Thesis by BRIAN DOUGLAS HARPER Submitted to the Graduate College of Texas A&M University in parrial fulfillment of the requirement for the degree of MASTER... OF SCIENCE August 1980 Major Subject: Mechanical Engineering RESIDUAL THERMAL STRESSES IN AN UNSYMMETRICAL CROSS-PLY GRAPHITE/EPOXY LAMINATE A Thesis by BRIAN DOUGLAS HARPER Approved as to style and content by: r. Y. N itsman (Chair of Committee) Dr...

  14. Development of source functions for modeling dissolution of residual DNAPL fingers in the saturated zone

    E-Print Network [OSTI]

    Johnson, Brian Scott

    2012-06-07T23:59:59.000Z

    DEVELOPMENT OF SOURCE FUNCTIONS FOR MODELING DISSOLUTION OF RESIDUAL DNAPL FINGERS IN THE SATURATED ZONE A Thesis by BRIAN SCOTT JOHNSON Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment... of the requirements for the degree of MASTER OF SCIENCE December 1993 Major Subject: Geology DEVELOPMENT OF SOURCE FUNCTIONS FOR MODELING DISSOLUTION OF RESIDUAL DNAPL FINGERS IN THE SATURATED ZONE A Thesis by BRIAN SCOTI' JOHNSON Submitted to Texas Agt...

  15. DISPOSAL OF EMPTY CHEMICAL CONTAINERS Empty chemical containers can contain residual amounts of chemicals. In an effort to ensure that this residue is

    E-Print Network [OSTI]

    Maroncelli, Mark

    containers or any plastic containers, plastic tubing, or plastic beakers that do not meet the recyclingDISPOSAL OF EMPTY CHEMICAL CONTAINERS Empty chemical containers can contain residual amounts or properly dispose of these containers, the following procedure has been developed by EHS in conjunction

  16. All auto shredding: evaluation of automotive shredder residue generated by shredding only vehicles.

    SciTech Connect (OSTI)

    Duranceau, C. M.; Spangenberger, J. S. (Energy Systems); (Vehicle Recycling Partnership, LLC); (American Chemistry Counsel, Plastics Division)

    2011-09-26T23:59:59.000Z

    A well developed infrastructure exists for the reuse and recycling of automotive parts and materials. At the end of a vehicle's useful life many parts are removed and sold for reuse and fluids are recovered for recycling or proper disposal. What remains is shredded, along with other metal bearing scrap such as home appliances, demolition debris and process equipment, and the metals are separated out and recycled. The remainder of the vehicle materials is call shredder residue which ends up in the landfill. As energy and natural resources becomes more treasured, increased effort has been afforded to find ways to reduce energy consumption and minimize the use of our limited resources. Many of the materials found in shredder residue could be recovered and help offset the use of energy and material consumption. For example, the energy content of the plastics and rubbers currently landfilled with the shredder residue is equivalent to 16 million barrels of oil per year. However, in the United States, the recovered materials, primarily polymers, cannot be recycled due to current regulatory barriers which preclude the re-introduction into commerce of certain materials because of residual contamination with substances of concern (SOCs) such as polychlorinated biphenyls (PCBs). The source of the PCBs is not well understood. Old transformers, capacitors, white goods and ballasts from lighting fixtures are likely contributing factors. The project was designed to evaluate whether vehicles of varying age and manufacturing origin contribute to the PCB content in shredder residue. Additionally, the project was designed to determine if there are any trends in material composition of the shredder residue from varied age and manufacturing groups. This information would aid in future material recovery facility strategy and design. The test utilized a newly installed shredder plant to shred four categories of automobiles. The categories were defined by vehicle age and the manufacturing company and location. Each category of vehicles was processed individually through the shredder plant and the resulting shredder residue was analyzed for its materials composition and presence of PCBs and leachable metals. The results show that shredder residue from all vehicle categories tested are not significant contributors of PCBs and leachable metals. It was evident that leachable cadmium levels have decreased in newer vehicles. The composition of the shredder residue from each of the four categories is similar to the others. In addition, these compositions are approximately equal to the composition of typical shredder residues, not limited to automotive materials.

  17. Thermodynamic Model for Uranium Release from Hanford Site Tank Residual Waste

    SciTech Connect (OSTI)

    Cantrell, Kirk J.; Deutsch, William J.; Lindberg, Michael J.

    2011-01-26T23:59:59.000Z

    A thermodynamic model of U phase solubility and paragenesis was developed for Hanford tank residual waste that will remain after tank closure. The model was developed using a combination of waste composition data, waste leach test data, and thermodynamic modeling of the leach test data. The testing and analyses were conducted using actual Hanford tank residual waste. Positive identification of the U phases by X-ray diffraction (XRD) was generally not possible because solids in the waste were amorphous, or below the detection limit of XRD for both as-received residual waste and leached residual waste. Three leachant solutions were used in the studies, dionized water, CaCO3 saturated solution, and Ca(OH)2 saturated solution. Thermodynamic modeling verified that equilibrium between U phases in the initial residual waste samples and the leachants was attained in less than a month. The paragenetic sequence of secondary phases that occur as waste leaching progresses for two closure scenarios was identified. These results have significant implications for tank closure design.

  18. Cofiring lignite with hazelnut shell and cotton residue in a pilot-scale fluidized bed combustor

    SciTech Connect (OSTI)

    Zuhal Gogebakan; Nevin Selcuk [Middle East Technical University, Ankara (Turkey). Department of Chemical Engineering

    2008-05-15T23:59:59.000Z

    In this study, cofiring of high ash and sulfur content lignite with hazelnut shell and cotton residue was investigated in 0.3 MWt METU Atmospheric Bubbling Fluidized Bed Combustion (ABFBC) Test Rig in terms of combustion and emission performance of different fuel blends. The results reveal that cofiring of hazelnut shell and cotton residue with lignite increases the combustion efficiency and freeboard temperatures compared to those of lignite firing with limestone addition only. CO{sub 2} emission is not found sensitive to increase in hazelnut shell and cotton residue share in fuel blend. Cofiring lowers SO{sub 2} emissions considerably. Cofiring of hazelnut shell reduces NO and N{sub 2}O emissions; on the contrary, cofiring cotton residue results in higher NO and N{sub 2}O emissions. Higher share of biomass in the fuel blend results in coarser cyclone ash particles. Hazelnut shell and cotton residue can be cofired with high ash and sulfur-containing lignite without operational problems. 32 refs., 12 figs., 11 tabs.

  19. Food and Beverage Sector (NAICS 311 and 312) Combustion Emissions Profile, November 2012

    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 on Delicious Rank EERE:YearRound-UpHeat PumpRecordFederal7.pdfFlash_2010_-24.pdfOverview FlowControlIndian Reservation |

  20. Forest Products Sector (NAICS 321 and 322) Energy and GHG Combustion Emissions Profile, November 2012

    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 on Delicious Rank EERE:YearRound-UpHeat PumpRecordFederal7.pdfFlash_2010_-24.pdfOverview FlowControlIndian1and U.S.

  1. Chemicals Sector (NAICS 325) Energy and GHG Combustion Emissions Profile, November 2012

    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 on Delicious Rank EERE:YearRound-Up fromDepartmentTieCelebrate Earth DayFuels Chemical Kinetic ModelingChemicals

  2. Petroleum Refining Sector (NAICS 324110) Energy and GHG Combustion Emissions Profile, November 2012

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

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Careerlumens_placard-green.epsEnergy1.pdfMarket | Department ofSecretary for Management69 2.4

  3. Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,442 140,948 138,6760

  4. Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,442 140,948 138,67602

  5. Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,442 140,948 138,676022

  6. Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,442 140,948 138,6760224

  7. Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,442 140,948

  8. Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,442 140,9488 Capability

  9. Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,442 140,948844Next1 End

  10. Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,442 140,948844Next1

  11. Level: National Data; Row: General Energy-Management Activities within NAICS Codes;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,442 140,948844Next1Next

  12. Level: National Data; Row: NAICS Codes (3-Digit Only); Column: Energy Sources

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,442

  13. Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.4 Number of3.41.4

  14. Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.4 Number

  15. Level: National Data; Row: NAICS Codes; Column: Reasons that Made Quantity Unswitchable;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Number90

  16. Level: National Data; Row: NAICS Codes; Column: Reasons that Made Quantity Unswitchable;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Number901

  17. Level: National Data; Row: NAICS Codes; Column: Reasons that Made Quantity Unswitchable;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Number9012

  18. Level: National Data; Row: NAICS Codes; Column: Reasons that Made Quantity Unswitchable;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Number90123

  19. Level: National Data; Row: NAICS Codes; Column: Usage within Cogeneration Technologies;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Number901233

  20. Level: National Data; Row: NAICS Codes; Column: Usage within Cogeneration Technologies;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Number9012333

  1. Level: National Data; Row: NAICS Codes; Column: Usage within General Energy-Saving Technologies;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Number90123332

  2. Level: National Data; Row: NAICS Codes; Column: Usage within General Energy-Saving Technologies;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Number901233322

  3. Level: National Data; Row: Specific Energy-Management Activities within NAICS Codes;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49

  4. Level: National Data; Row: Specific Energy-Management Activities within NAICS Codes;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next MECS will

  5. Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next

  6. Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next2

  7. Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next22

  8. Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next224

  9. Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next2246

  10. Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next22468

  11. Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next22468 Table

  12. Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next22468 Table

  13. Level: National and Regional Data; Row: NAICS Codes; Column: Electricity Components;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next22468

  14. Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next22468 Coke

  15. Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next22468

  16. Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next22468 Next

  17. Level: National and Regional Data; Row: NAICS Codes; Column: Onsite-Generation Components;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next22468 Next3

  18. Level: National and Regional Data; Row: NAICS Codes; Column: Utility and Nonutility Purchasers;

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next22468

  19. Level: National and Regional Data; Row: Selected NAICS Codes; Column: Energy Sources

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next22468August

  20. Manufacturing Energy and Carbon Footprint - Sector: Fabricated Metals (NAICS 332), January 2014 (MECS 2010)

    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 on Delicious RankCombustion | Department of Energy Low-TemperatureEnergyAll Manufacturing

  1. Manufacturing Energy and Carbon Footprint - Sector: Forest Products (NAICS 321, 322), January 2014 (MECS 2010)

    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 on Delicious RankCombustion | Department of Energy Low-TemperatureEnergyAll ManufacturingFood and Beverage

  2. Manufacturing Energy and Carbon Footprint - Sector: Foundries (NAICS 3315), January 2014 (MECS 2010)

    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 on Delicious RankCombustion | Department of Energy Low-TemperatureEnergyAll ManufacturingFood and

  3. Manufacturing Energy and Carbon Footprint - Sector: Glass (NAICS 3272, 327993), January 2014 (MECS 2010)

    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 on Delicious RankCombustion | Department of Energy Low-TemperatureEnergyAll ManufacturingFood andGlass and Glass

  4. Manufacturing Energy and Carbon Footprint - Sector: Iron and Steel (NAICS 3311, 3312), January 2014 (MECS 2010)

    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 on Delicious RankCombustion | Department of Energy Low-TemperatureEnergyAll ManufacturingFood andGlass andIron and

  5. Manufacturing Energy and Carbon Footprint - Sector: Machinery (NAICS 333), January 2014 (MECS 2010)

    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 on Delicious RankCombustion | Department of Energy Low-TemperatureEnergyAll ManufacturingFood andGlass andIron

  6. Manufacturing Energy and Carbon Footprint - Sector: Petroleum Refining (NAICS 324110), January 2014 (MECS 2010)

    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 on Delicious RankCombustion | Department of Energy Low-TemperatureEnergyAll ManufacturingFood andGlass

  7. Manufacturing Energy and Carbon Footprint - Sector: Plastics (NAICS 326), January 2014 (MECS 2010)

    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 on Delicious RankCombustion | Department of Energy Low-TemperatureEnergyAll ManufacturingFood andGlassPlastics and

  8. Manufacturing Energy and Carbon Footprint - Sector: Textiles (NAICS 313-316), January 2014 (MECS 2010)

    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 on Delicious RankCombustion | Department of Energy Low-TemperatureEnergyAll ManufacturingFood andGlassPlastics

  9. Manufacturing Energy and Carbon Footprint - Sector: Transportation Equipment (NAICS 336), January 2014 (MECS 2010)

    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 on Delicious RankCombustion | Department of Energy Low-TemperatureEnergyAll ManufacturingFood

  10. " Level: National Data;" " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs of Energy2 Reasons

  11. Iron and Steel Sector (NAICS 3311 and 3312) Energy and GHG Combustion Emissions Profile, November 2012

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

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.ProgramJulietipDepartmentJune 20,AmongDevelopmentJulyInvoluntaryIowa Iowa99

  12. " Level: National Data;" " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs of Energy2

  13. " Level: National Data;" " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs of Energy24

  14. " Level: National Data;" " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs of Energy245

  15. " Level: National Data;" " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs1 Number of

  16. " Level: National Data;" " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs1 Number of3 Number

  17. " Level: National Data;" " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs1 Number of3

  18. " Level: National Data;" " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs1 Number of35

  19. " Level: National Data;" " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs1 Number of357

  20. " Level: National Data;" " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs1 Number of3579

  1. " Level: National Data;" " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs1 Number of357911

  2. " Level: National Data;" " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs1 Number of3579113

  3. " Level: National Data;" " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs1 Number of35791133

  4. " Level: National Data;" " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs1 Number

  5. " Level: National Data;" " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs1 Number7 Number of

  6. " Level: National Data;" " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs1 Number7 Number

  7. " Level: National Data;" " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13. Quantity of1

  8. " Level: National Data;" " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13. Quantity of13

  9. " Row: Industry-Specific Technologies within Selected NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13. Quantity of133.

  10. " Row: Energy-Management Activities within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of5 End

  11. " Row: Energy-Management Activities within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of5 End1 Number

  12. " Row: General Energy-Management Activities within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of5 End1

  13. " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of5 End11.

  14. " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of5 End11.2.

  15. " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of5

  16. " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54 Number of

  17. " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54 Number

  18. " Row: NAICS Codes; Column: Energy Sources and Shipments;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54 Number.1.

  19. " Row: NAICS Codes; Column: Energy Sources and Shipments;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54 Number.1.4

  20. " Row: NAICS Codes; Column: Energy Sources and Shipments;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54

  1. " Row: NAICS Codes; Column: Energy Sources and Shipments;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54.4 Number

  2. " Row: NAICS Codes; Column: Energy-Consumption Ratios;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses3.4N7.1.

  3. " Row: NAICS Codes; Column: Energy-Consumption Ratios;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses3.4N7.1.1

  4. " Row: NAICS Codes; Column: Energy-Consumption Ratios;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses3.4N7.1.11

  5. " Row: NAICS Codes; Column: Energy-Consumption Ratios;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses3.4N7.1.11"

  6. " Row: Specific Energy-Management Activities within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1.24 Number of

  7. " Level: National Data;" " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1.24 Number of3

  8. " Level: National Data;" " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1.24 Number of30.5

  9. " Level: National Data;" " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1.24 Number of30.57

  10. " Level: National Data;" " Row: NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1.24 Number

  11. " Row: NAICS Codes, Value of Shipments and Employment Sizes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1.24 Number2

  12. " Row: NAICS Codes, Value of Shipments and Employment Sizes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1.24 Number24

  13. " Row: NAICS Codes, Value of Shipments and Employment Sizes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1.24 Number246

  14. " Row: NAICS Codes, Value of Shipments and Employment Sizes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1.24 Number2468

  15. " Row: General Energy-Management Activities within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1.24 Number24681

  16. " Row: Specific Energy-Management Activities within NAICS Codes;"

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1.24 Number246814

  17. Evaluation of filter media for clarification of partially dissolved residues containing plutonium

    SciTech Connect (OSTI)

    Foley, E.S.

    1989-10-09T23:59:59.000Z

    A common process in the chemical industry employs the leaching of a desirable component from an insoluble substrate, followed by filtration to produce a clarified solution of the desirable component and a discardable residue. The work described here involved evaluating sintered metal filter media for separating dissolved plutonium from undissolved residues generated at various locations owned by the Department of Energy throughout the United States. The work was performed during a six-week assignment at the Savannah River Laboratory as part of a high school science enrichment program conducted in the summer of 1989. The leach step used included dissolving the plutonium-containing solids in a solution of nitric-hydrofluoric acid. To simulate the partial solubility of the actual plutonium-containing residues, a non-radioactive power plant flyash was used. 6 refs., 14 figs., 1 tab.

  18. Diagnosing residual motion via the x-ray self emission from indirectly driven inertial confinement implosions

    SciTech Connect (OSTI)

    Pak, A., E-mail: pak5@llnl.gov; Field, J. E.; Benedetti, L. R.; Caggiano, J.; Hatarik, R.; Izumi, N.; Khan, S. F.; Ma, T.; Spears, B. K.; Town, R. P. J.; Bradley, D. K. [Lawrence Livermore National Laboratory, Livermore, California 94550 (United States); Knauer, J. [Laboratory for Laser Energetics, Rochester, New York 14623 (United States)

    2014-11-15T23:59:59.000Z

    In an indirectly driven implosion, non-radial translational motion of the compressed fusion capsule is a signature of residual kinetic energy not coupled into the compressional heating of the target. A reduction in compression reduces the peak pressure and nuclear performance of the implosion. Measuring and reducing the residual motion of the implosion is therefore necessary to improve performance and isolate other effects that degrade performance. Using the gated x-ray diagnostic, the x-ray Bremsstrahlung emission from the compressed capsule is spatially and temporally resolved at x-ray energies of >8.7 keV, allowing for measurements of the residual velocity. Here details of the x-ray velocity measurement and fitting routine will be discussed and measurements will be compared to the velocities inferred from the neutron time of flight detectors.

  19. Method for using global optimization to the estimation of surface-consistent residual statics

    DOE Patents [OSTI]

    Reister, David B. (Knoxville, TN); Barhen, Jacob (Oak Ridge, TN); Oblow, Edward M. (Knoxville, TN)

    2001-01-01T23:59:59.000Z

    An efficient method for generating residual statics corrections to compensate for surface-consistent static time shifts in stacked seismic traces. The method includes a step of framing the residual static corrections as a global optimization problem in a parameter space. The method also includes decoupling the global optimization problem involving all seismic traces into several one-dimensional problems. The method further utilizes a Stochastic Pijavskij Tunneling search to eliminate regions in the parameter space where a global minimum is unlikely to exist so that the global minimum may be quickly discovered. The method finds the residual statics corrections by maximizing the total stack power. The stack power is a measure of seismic energy transferred from energy sources to receivers.

  20. The National Nuclear Laboratory's Approach to Processing Mixed Wastes and Residues - 13080

    SciTech Connect (OSTI)

    Greenwood, Howard; Docrat, Tahera; Allinson, Sarah J.; Coppersthwaite, Duncan P.; Sultan, Ruqayyah; May, Sarah [National Nuclear Laboratory, Springfields, Preston, UK, PR4 0XJ (United Kingdom)] [National Nuclear Laboratory, Springfields, Preston, UK, PR4 0XJ (United Kingdom)

    2013-07-01T23:59:59.000Z

    The National Nuclear Laboratory (NNL) treats a wide variety of materials produced as by-products of the nuclear fuel cycle, mostly from uranium purification and fuel manufacture but also including materials from uranium enrichment and from the decommissioning of obsolete plants. In the context of this paper, treatment is defined as recovery of uranium or other activity from residues, the recycle of uranium to the fuel cycle or preparation for long term storage and the final disposal or discharge to the environment of the remainder of the material. NNL's systematic but flexible approach to residue assessment and treatment is described in this paper. The approach typically comprises up to five main phases. The benefits of a systematic approach to waste and residue assessments and processing are described in this paper with examples used to illustrate each phase of work. Benefits include early identification of processing routes or processing issues and the avoidance of investment in inappropriate and costly plant or processes. (authors)

  1. Distribution and fate of technical chlordane and mirex residues in a central Texas aquatic ecosystem

    E-Print Network [OSTI]

    Janssen, Harold Erle

    1976-01-01T23:59:59.000Z

    DIST!(IDU!'IO;l AitlD l=A! E OF TEC;lN!CAL CNLOROAN. Al, 'D illREX RESIDUES IiN A CEiNTRAL TLXAS AQUA IC ECOSYSTEH A Thesis by HAROLD ERLE JANSSEN, JR. Submitted to the Graduate College o F Texas Anil Universi ty in partia1 fulfillment... of the requirement for the dec!ree of NASTER OF SC1El&CE Nay 1976 Najor Subject: Civil Engineering DISTRIBUTION AND FATE OF TECHNICAL CHLORDAI'lE AND llIREX RESIDUES IN A CENTRAl TEXAS AQUATIC ECOSYSTEM A Thesis by HAROLD ERLE JANSSEN, JR. Approved...

  2. The investigation of the effects of wettability on residual oil after water flooding

    E-Print Network [OSTI]

    Burja, Edward Oscar

    1953-01-01T23:59:59.000Z

    THE INVESTIGATION OF THE EFFECTS OF WETTABILITY ON RESIDUAL OIL AFTER WATER FLOODING A Thesis BY E. 0, BUR JA Approved as to style and content by: (Cha rman of C mmittee (Head of Department) (Mo th (Year) THE INVESTIGATION OF THE EFFECTS... OF WETTABILITY ON RESIDUAL OIL AFTER WATER FLOODING By E. O. Burja A Thesis Submitted to the Graduate School of the Agricultural and Mechanical College of Texas in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Major Subject...

  3. An efficient method to compute the residual phase on a Lefschetz thimble

    E-Print Network [OSTI]

    M. Cristoforetti; F. Di Renzo; G. Eruzzi; A. Mukherjee; C. Schmidt; L. Scorzato; C. Torrero

    2014-06-14T23:59:59.000Z

    We propose an efficient method to compute the so-called residual phase that appears when performing Monte Carlo calculations on a Lefschetz thimble. The method is stochastic and its cost scales linearly with the physical volume, linearly with the number of stochastic estimators and quadratically with the length of the extra dimension along the gradient flow. This is a drastic improvement over previous estimates of the cost of computing the residual phase. We also report on basic tests of correctness and scaling of the code.

  4. Hanford Site Tank 241-C-108 Residual Waste Contaminant Release Models and Supporting Data

    SciTech Connect (OSTI)

    Cantrell, Kirk J.; Krupka, Kenneth M.; Geiszler, Keith N.; Arey, Bruce W.; Schaef, Herbert T.

    2010-06-18T23:59:59.000Z

    This report presents the results of laboratory characterization, testing, and analysis for a composite sample (designated 20578) of residual waste collected from single-shell tank C-108 during the waste retrieval process after modified sluicing. These studies were completed to characterize concentration and form of contaminant of interest in the residual waste; assess the leachability of contaminants from the solids; and develop release models for contaminants of interest. Because modified sluicing did not achieve 99% removal of the waste, it is expected that additional retrieval processing will take place. As a result, the sample analyzed here is not expected to represent final retrieval sample.

  5. Apparatus and method for rapid detection of explosives residue from the deflagration signature thereof

    DOE Patents [OSTI]

    Funsten, H.O.; McComas, D.J.

    1999-06-15T23:59:59.000Z

    Apparatus and method are disclosed for rapid detection of explosives residue from the deflagration signature thereof. A property inherent to most explosives is their stickiness, resulting in a strong tendency of explosive particulate to contaminate the environment of a bulk explosive. An apparatus for collection of residue particulate, burning the collected particulate, and measurement of the ultraviolet emission produced thereby, is described. The present invention can be utilized for real-time screening of personnel, cars, packages, suspected devices, etc., and provides an inexpensive, portable, and noninvasive means for detecting explosives. 4 figs.

  6. Natural Gamma Emitters after a Selective Chemical Separation of a TENORM residue: Preliminary Results

    SciTech Connect (OSTI)

    Alves de Freitas, Antonio; Abrao, Alcidio [Centro de Quimica e do Meio Ambiente (Brazil); Godoy dos Santos, Adir Janete; Pecequilo, Brigitte Roxana Soreanu [Centro de Metrologia das Radiacoes Instituto de Pesquisas Energeticas e Nucleares Av. Prof. Lineu Prestes, 2242-Cidade Universitaria-Zip Code 05508-000 Sao Paulo-SP (Brazil)

    2008-08-07T23:59:59.000Z

    An analytical procedure was established in order to obtain selective fractions containing radium isotopes ({sup 228}Ra), thorium ({sup 232}Th), and rare earths from RETOTER (REsiduo de TOrio e TErras Raras), a solid residue rich in rare earth elements, thorium isotopes and small amount of natural uranium generated from the operation of a thorium pilot plant for purification and production of pure thorium nitrate at IPEN -CNEN/SP. The paper presents preliminary results of {sup 228}Ra, {sup 226}Ra, {sup 238}U, {sup 210}Pb, and {sup 40}K concentrations in the selective fractions and total residue determined by high-resolution gamma spectroscopy, considering radioactive equilibrium of the samples.

  7. Application of the residue number system to the matrix multiplication problem

    E-Print Network [OSTI]

    Chard, Gary Franklin

    2012-06-07T23:59:59.000Z

    Global Considerations 96 97 98 98 100 Design Comparison 6. 4. 1 Comparison Structure 101 102 TABLE OF CONTENTS (Continued) 6. d. 2 Time and Area Comparison VII CONCLUSION Page 103 105 7. 1 Contributions 7. 2 Future Research 106 108... to Residue 2. 4 The Chinese Remainder Theorem 2. 5 Sign Representation of a Residue Number 2. 6 Introduction to Matrix Multiplication 15 16 18 19 21 22 2. 7 The Matrix Multiplication Algorithm 2. 7. 1 The Multiply and Add Cell 2. 7. 2 Formulation...

  8. JOURNAL OF MATERIALS SCIENCE: MATERIALS IN ELECTRONICS 12 (2001) 143146 Residual strain and texture in strontium-doped

    E-Print Network [OSTI]

    Garmestani, Hamid

    of the residual strain/stress is needed because most deposited thin ®lms are under some kind of residual (internalJOURNAL OF MATERIALS SCIENCE: MATERIALS IN ELECTRONICS 12 (2001) 143±146 Residual strain@magnet.fsu.edu Thin ®lms of La0:67Sr0:33MnO3 (LSMO) have been deposited using liquid-delivery metal- organic chemical

  9. HOST GALAXY PROPERTIES AND HUBBLE RESIDUALS OF TYPE Ia SUPERNOVAE FROM THE NEARBY SUPERNOVA FACTORY

    SciTech Connect (OSTI)

    Childress, M.; Aldering, G.; Aragon, C.; Bailey, S.; Fakhouri, H. K.; Hsiao, E. Y.; Kim, A. G.; Loken, S. [Physics Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720 (United States); Antilogus, P.; Bongard, S.; Canto, A.; Cellier-Holzem, F.; Guy, J. [Laboratoire de Physique Nucleaire et des Hautes Energies, Universite Pierre et Marie Curie Paris 6, Universite Paris Diderot Paris 7, CNRS-IN2P3, 4 place Jussieu, F-75252 Paris Cedex 05 (France); Baltay, C. [Department of Physics, Yale University, New Haven, CT 06250-8121 (United States); Buton, C.; Kerschhaggl, M.; Kowalski, M. [Physikalisches Institut, Universitaet Bonn, Nussallee 12, D-53115 Bonn (Germany); Chotard, N.; Copin, Y.; Gangler, E. [Universite de Lyon, F-69622, Lyon (France); Universite de Lyon 1, Villeurbanne (France); CNRS/IN2P3, Institut de Physique Nucleaire de Lyon (France); and others

    2013-06-20T23:59:59.000Z

    We examine the relationship between Type Ia supernova (SN Ia) Hubble residuals and the properties of their host galaxies using a sample of 115 SNe Ia from the Nearby Supernova Factory. We use host galaxy stellar masses and specific star formation rates fitted from photometry for all hosts, as well as gas-phase metallicities for a subset of 69 star-forming (non-active galactic nucleus) hosts, to show that the SN Ia Hubble residuals correlate with each of these host properties. With these data we find new evidence for a correlation between SN Ia intrinsic color and host metallicity. When we combine our data with those of other published SN Ia surveys, we find the difference between mean SN Ia brightnesses in low- and high-mass hosts is 0.077 {+-} 0.014 mag. When viewed in narrow (0.2 dex) bins of host stellar mass, the data reveal apparent plateaus of Hubble residuals at high and low host masses with a rapid transition over a short mass range (9.8 {<=} log (M{sub *}/M{sub Sun }) {<=} 10.4). Although metallicity has been a favored interpretation for the origin of the Hubble residual trend with host mass, we illustrate how dust in star-forming galaxies and mean SN Ia progenitor age both evolve along the galaxy mass sequence, thereby presenting equally viable explanations for some or all of the observed SN Ia host bias.

  10. Nuclear reactor with makeup water assist from residual heat removal system

    DOE Patents [OSTI]

    Corletti, Michael M. (New Kensington, PA); Schulz, Terry L. (Murrysville, PA)

    1993-01-01T23:59:59.000Z

    A pressurized water nuclear reactor uses its residual heat removal system to make up water in the reactor coolant circuit from an in-containment refueling water supply during staged depressurization leading up to passive emergency cooling by gravity feed from the refueling water storage tank, and flooding of the containment building. When depressurization commences due to inadvertence or a manageable leak, the residual heat removal system is activated manually and prevents flooding of the containment when such action is not necessary. Operation of the passive cooling system is not impaired. A high pressure makeup water storage tank is coupled to the reactor coolant circuit, holding makeup coolant at the operational pressure of the reactor. The staged depressurization system vents the coolant circuit to the containment, thus reducing the supply of makeup coolant. The level of makeup coolant can be sensed to trigger opening of successive depressurization conduits. The residual heat removal pumps move water from the refueling water storage tank into the coolant circuit as the coolant circuit is depressurized, preventing reaching the final depressurization stage unless the makeup coolant level continues to drop. The residual heat removal system can also be coupled in a loop with the refueling water supply tank, for an auxiliary heat removal path.

  11. Nuclear reactor with makeup water assist from residual heat removal system

    DOE Patents [OSTI]

    Corletti, M.M.; Schulz, T.L.

    1993-12-07T23:59:59.000Z

    A pressurized water nuclear reactor uses its residual heat removal system to make up water in the reactor coolant circuit from an in-containment refueling water supply during staged depressurization leading up to passive emergency cooling by gravity feed from the refueling water storage tank, and flooding of the containment building. When depressurization commences due to inadvertence or a manageable leak, the residual heat removal system is activated manually and prevents flooding of the containment when such action is not necessary. Operation of the passive cooling system is not impaired. A high pressure makeup water storage tank is coupled to the reactor coolant circuit, holding makeup coolant at the operational pressure of the reactor. The staged depressurization system vents the coolant circuit to the containment, thus reducing the supply of makeup coolant. The level of makeup coolant can be sensed to trigger opening of successive depressurization conduits. The residual heat removal pumps move water from the refueling water storage tank into the coolant circuit as the coolant circuit is depressurized, preventing reaching the final depressurization stage unless the makeup coolant level continues to drop. The residual heat removal system can also be coupled in a loop with the refueling water supply tank, for an auxiliary heat removal path. 2 figures.

  12. A METHODOLOGY FOR THE CONTROL OF THE RESIDUAL LIFETIMES OF CARBON FIBRE

    E-Print Network [OSTI]

    Boyer, Edmond

    on composite materials, France (2005)" #12;carbon fibre composites are considered by these authors as beingA METHODOLOGY FOR THE CONTROL OF THE RESIDUAL LIFETIMES OF CARBON FIBRE REINFORCED COMPOSITE of their loading history with precision. KEYWORDS: pressure vessels, carbon fibre composites, life time prediction

  13. An Experimental/Computational Approach to Identify Moduli and Residual Stress

    E-Print Network [OSTI]

    Espinosa, Horacio D.

    and uniformity of measured loaddeflection curves on a number of switches with both wedge and Berkovich tips has a strong effect on load deflection curves; hence, its accurate characterization is crit- ical stress state affect the loaddeflection curve in dif- ferent regimes. Changes in residual stress state

  14. CSER 96-027: storage of cemented plutonium residue containers in 55 gallon drums

    SciTech Connect (OSTI)

    Watson, W.T.

    1997-01-20T23:59:59.000Z

    A nuclear criticality safety analysis has been performed for the storage of residual plutonium cementation containers, produced at the Plutonium Finishing Plant, in 55 gallon drums. This CSER increases the limit of total plutonium stored in each 55 gallon drum from 100 to 200 grams.

  15. The effect of residuals on the presence of intergranular surface cracks on continuously cast billets

    SciTech Connect (OSTI)

    Wijngaarden, M.J.U.T. van; Visagie, G.P.

    1996-12-31T23:59:59.000Z

    During 1991, Iscor Vereeniging experienced a dramatic increase in the rejection rate of specialty steel bars rolled from continuously cast billets due to the presence of seams on the bars. The seams originated from tearing of the billets during the first 2 passes in the roughing mill during hot rolling. The defective billets were found to contain fine intergranular cracks on the surface. Such cracks have been described in the literature and have been attributed to the presence of high levels of residuals resulting in the well-known phenomenon of surface hot shortness which results from the enrichment of residuals at the grain boundaries after preferential oxidation of iron during scaling of the steel. The present investigation revealed that the effect of residuals on intergranular surface cracking is a complex interaction between steel composition and casting conditions such as casting speed, intensity of secondary cooling, section size, and mold type. This paper quantifies the effect of residuals on the intergranular surface cracking of continuously cast billets and quantitatively relates the incidence of these cracks to parameters which can be controlled during steelmaking and continuous casting.

  16. REUSE AND RECYCLE OF BIO-RESIDUE (PERCOLATE) FROM CONSTRUCTED WETLAND TREATING SEPTAGE

    E-Print Network [OSTI]

    Richner, Heinz

    REUSE AND RECYCLE OF BIO-RESIDUE (PERCOLATE) FROM CONSTRUCTED WETLAND TREATING SEPTAGE by Sukon of percolate from constructed wetland (CW) treating septage in agricultural application with the specific focus CW treating septage could exhibit positive responses of the plant growth which increase seed yield

  17. Relationship between Hot Spot Residues and Ligand Binding Hot Spots in Protein-Protein Interfaces

    E-Print Network [OSTI]

    Vajda, Sandor

    , while identification of a hot spot by alanine scanning establishes the potential to generate substantial, termed "hot spots", that comprise the subset of residues that contribute the bulk of the binding free proposed as prime targets for drug binding.1,4 The established approach to the identification of such hot

  18. A Comparative Study of Amyloid Fibril Formation by Residues 1519 of the Human Calcitonin Hormone: A

    E-Print Network [OSTI]

    Haspel, Nurit

    A Comparative Study of Amyloid Fibril Formation by Residues 1519 of the Human Calcitonin Hormone highly ordered fibrils, similar to those formed by the entire hormone sequence. However-sheet amyloid fibril. We observe that the most important chemical interactions contributing to the stability

  19. Estimates of the Loss of Main-Chain Conformational Entropy of Different Residues on Protein Folding

    E-Print Network [OSTI]

    Pal, Debnath

    Estimates of the Loss of Main-Chain Conformational Entropy of Different Residues on Protein Folding energy of protein folding is not well understood. We have developed empirical scales for the loss; protein folding; pro- tein engineering INTRODUCTION When a protein folds into a compact globule, the resi

  20. Logging Residue Volumes and Characteristics following Integrated Roundwood and Energy-Wood

    E-Print Network [OSTI]

    Wagner, Robert G.

    considered waste material. In recent years, however, the reemergence of the bioenergy industry has revived the market for these residues, and demand for this ma- terial is likely to increase with increasing oil are projected to provide one-third of the billion-ton biomass feedstock needed for the emerging bioenergy

  1. RESIDUAL STRESS DISTRIBUTIONS FOR MULTI-PASS WELDS IN PRESSURE VESSEL AND PIPING COMPONENTS

    E-Print Network [OSTI]

    Michaleris, Panagiotis

    RESIDUAL STRESS DISTRIBUTIONS FOR MULTI-PASS WELDS IN PRESSURE VESSEL AND PIPING COMPONENTS distributions in common pressure vessel and piping components is generated by using the multi-pass finite-walled pipes with various radius to thickness ratios. Both single- and double-V weld joints are investigated

  2. Hanford Tank 241-C-106: Impact of Cement Reactions on Release of Contaminants from Residual Waste

    SciTech Connect (OSTI)

    Deutsch, William J.; Krupka, Kenneth M.; Lindberg, Michael J.; Cantrell, Kirk J.; Brown, Christopher F.; Schaef, Herbert T.

    2006-09-01T23:59:59.000Z

    The CH2M HILL Hanford Group, Inc. (CH2M HILL) is producing risk/performance assessments to support the closure of single-shell tanks at the U.S. Department of Energy's Hanford Site. As part of this effort, staff at Pacific Northwest National Laboratory were asked to develop release models for contaminants of concern that are present in residual sludge remaining in tank 241-C-106 (C-106) after final retrieval of waste from the tank. Initial work to produce release models was conducted on residual tank sludge using pure water as the leaching agent. The results were reported in an earlier report. The decision has now been made to close the tanks after waste retrieval with a cementitious grout to minimize infiltration and maintain the physical integrity of the tanks. This report describes testing of the residual waste with a leaching solution that simulates the composition of water passing through the grout and contacting the residual waste at the bottom of the tank.

  3. Characterization of residual stress relaxation in welded steel plate using TAP-NDE and wavelets

    E-Print Network [OSTI]

    Jhun, Choon-Sik

    2001-01-01T23:59:59.000Z

    residual stresses. Immediately after each oven-curing procedure, laser-generated surface acoustic waves (SAW) were initiated in the welded steel plate using a Q-switched Nd:YAG (neodymium-doped yttrium aluminum garnet) pulsed laser and then acquired using...

  4. Residual eye-movements in macaque and their effects on visual responses of neurons

    E-Print Network [OSTI]

    Nottingham, University of

    Residual eye-movements in macaque and their effects on visual responses of neurons JASON FORTE, with high precision, the positions of the eyes in anesthetized macaque monkeys prepared for physiological recording. Most recordings were made after the infusion of muscle relaxant to immobilize the eyes; in some

  5. The nuclear density of states and the role of the residual interaction

    E-Print Network [OSTI]

    Calvin W. Johnson; Edgar Teran

    2005-12-02T23:59:59.000Z

    We discuss the role of mean-field and moment methods in microscopic models for calculating the nuclear density of states (also known as the nuclear level density). Working in a shell-model framework, we use moments of the nuclear many-body Hamiltonian to illustrate the importance of the residual interaction for accurate representations.

  6. Cold drawn steel wires--processing, residual stresses and ductility Part II: Synchrotron and neutron diffraction

    E-Print Network [OSTI]

    Cold drawn steel wires--processing, residual stresses and ductility Part II: Synchrotron Received in final form 29 September 2005 ABSTRACT Cold drawing of steel wires leads to an increase proposed that cold drawing would induce a phase transformation of the steel, possibly a martensitic

  7. Ultrasonic measurement of the residual stresses in patch welded steel plates

    E-Print Network [OSTI]

    Junghans, Paul Gerard

    1994-01-01T23:59:59.000Z

    , structural steel plates. The two 1.2 in (48 in.) square plates were patch welded in the center to create a residual stress field; and subsequently, one of the plates was stress relieved. The LCR travel-time measurements on the plates not only differentiated...

  8. Species-specific residues calibrate SoxR sensitivity to redox-active molecules

    E-Print Network [OSTI]

    Dietrich, Lars

    to viologens, which have redox potentials below -350 mV. Using a mutagenic approach, we pin- pointed threeSpecies-specific residues calibrate SoxR sensitivity to redox-active molecules Rebecca Sheplock,1, the transcription factor SoxR triggers a global stress response by sensing a broad spectrum of redox

  9. PROTEIN FOLD RECOGNITION USING RESIDUE-BASED ALIGNMENTS OF SEQUENCE AND SECONDARY STRUCTURE

    E-Print Network [OSTI]

    Erdogan, Hakan

    PROTEIN FOLD RECOGNITION USING RESIDUE-BASED ALIGNMENTS OF SEQUENCE AND SECONDARY STRUCTURE Zafer methods [3,4]. Index Terms- protein fold recognition, secondary structure alignment, amino acid alignment &sabanciuniv.edu culated for each sequence-structure alignment. Protein fold recog- nition problem can

  10. Electric charge trapping, residual stresses and properties of ceramics after metal/ceramics bonding

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    and diffusion of metallic species in the ceramics, during the bonding process. Keywords: Joining; ToughnessElectric charge trapping, residual stresses and properties of ceramics after metal/ceramics bonding applications is rapidly increasing. Most of these applications require the use of ceramics bonded with metal

  11. Energy-Efficient Reliable Routing Considering Residual Energy in Wireless Ad Hoc Networks

    E-Print Network [OSTI]

    Langendoen, Koen

    Energy-Efficient Reliable Routing Considering Residual Energy in Wireless Ad Hoc Networks Javad minimum energy routing (RMER). RMECR addresses three important requirements of ad hoc networks: energy-efficiency energy of nodes as well as quality of links to find energy-efficient and reliable routes that increase

  12. Engineered Heart Tissue Enables Study of Residual Undifferentiated Embryonic Stem Cell Activity in a

    E-Print Network [OSTI]

    Zandstra, Peter W.

    ARTICLE Engineered Heart Tissue Enables Study of Residual Undifferentiated Embryonic Stem Cell, Canada, M5S 3G9 6 Heart and Stroke/Richard Lewar Centre of Excellence, Toronto, Ontario, Canada, M5S 3G9 cell survival. As an alternative, we have used an engineered heart tissue (EHT) based on neonatal rat

  13. PROPERTIES OF RESIDUALS FOR SPATIAL POINT PROCESSES A. BADDELEY, # University of Western Australia

    E-Print Network [OSTI]

    Baddeley, Adrian

    PROPERTIES OF RESIDUALS FOR SPATIAL POINT PROCESSES A. BADDELEY, # University of Western Australia J. MLLER, ## University of Aalborg A.G. PAKES, # University of Western Australia Abstract For any address: School of Mathematics & Statistics M019, University of Western Australia, 35 Stirling Highway

  14. Investigation of residual stresses induced during the selective laser melting process

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    jean-claude.boyer@insa-lyon.fr Keywords: Selective laser melting, layer additional method, Residual stresses. Abstract. The selective laser melting process (SLM), belonging to the family of additive manufacturing processes, can create complex geometry parts from a CAD file. Previously, only prototypes were

  15. From residue matching patterns to protein folding topographies: General model and bovine

    E-Print Network [OSTI]

    Berry, R. Stephen

    From residue matching patterns to protein folding topographies: General model and bovine pancreatic-grained model for protein-folding dynamics is introduced based on a discretized representation of torsional, pattern recognition, and general characteristics of protein folding kinetics. Topology here implies

  16. Incineration of Residue from Paint Stripping Operations Using Plastic Media Blasting

    E-Print Network [OSTI]

    Helt, J. E.; Mallya, N.

    i INCINERATION OF RESIDUE FROH PAINT STRIPPING OPERATIONS USING PLASTIC MEDIA BLASTING J. E. HELT N. MALLYA Group Leader Chemist Chemical Technology Division Chemical Technology Division Argonne National Laboratory Argonne National... Laboratory Argonne, Illinois Argonne, Illinois ABSTRACT A preliminary investigation has been performed on the environmental consequences of incinerating plastic-media-blasting (PHB) wastes from paint removal operations. PHB is similar to sandblasting...

  17. SOLID PHASE MICROEXTRACTION SAMPLING OF FIRE DEBRIS RESIDUES IN THE PRESENCE OF RADIONUCLIDE SURROGATE METALS

    SciTech Connect (OSTI)

    Duff, M; Keisha Martin, K; S Crump, S

    2007-03-23T23:59:59.000Z

    The Federal Bureau of Investigation (FBI) Laboratory currently does not have on site facilities for handling radioactive evidentiary materials and there are no established FBI methods or procedures for decontaminating highly radioactive fire debris (FD) evidence while maintaining evidentiary value. One experimental method for the isolation of FD residue from radionuclide metals involves using solid phase microextraction (SPME) fibers to remove the residues of interest. Due to their high affinity for organics, SPME fibers should have little affinity for most (radioactive) metals. The focus of this research was to develop an examination protocol that was applicable to safe work in facilities where high radiation doses are shielded from the workers (as in radioactive shielded cells or ''hot cells''). We also examined the affinity of stable radionuclide surrogate metals (Co, Ir, Re, Ni, Ba, Cs, Nb, Zr and Nd) for sorption by the SPME fibers. This was done under exposure conditions that favor the uptake of FD residues under conditions that will provide little contact between the SPME and the FD material (such as charred carpet or wood that contains commonly-used accelerants). Our results from mass spectrometric analyses indicate that SPME fibers show promise for use in the room temperature head space uptake of organic FD residue (namely, diesel fuel oil, kerosene, gasoline and paint thinner) with subsequent analysis by gas chromatography (GC) with mass spectrometric (MS) detection. No inorganic forms of ignitable fluids were included in this study.

  18. Molecular gas in early-type galaxies: Fuel for residual star formation

    E-Print Network [OSTI]

    Bureau, Martin

    Abstract: Molecular gas in early-type galaxies: Fuel for residual star formation Timothy A. Davis Survey 2. The ATLAS3D CARMA Survey 3. Kinematic Misalignments 4. Origin of the molecular gas The ATLAS3D is to determine how (major and minor) mergers, gas, star formation and feedback affect the transformation

  19. Investigating citizens' preferences for recycling Residual Organic Products in agriculture: a choice experiment approach

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    in France (excluding agriculture waste) [1], the recycling of urban organic waste is a strong environmentalInvestigating citizens' preferences for recycling Residual Organic Products in agriculture or mineral fertilizers. The paper addresses in particular 3 environmental effects: the organic waste

  20. FISHERY WASTE EFFLUENTS: A METHOD TO DETERMINE RELATIONSHIPS BETWEEN CHEMICAL OXYGEN DEMAND AND RESIDUE

    E-Print Network [OSTI]

    FISHERY WASTE EFFLUENTS: A METHOD TO DETERMINE RELATIONSHIPS BETWEEN CHEMICAL OXYGEN DEMAND effluents, especially for total suspended and settleable solids, and oil and grease. The relationship between chemical oxygen demand and residue was determined on a limited number of samples from four types

  1. Determination of residual monomers resulting from the chemical polymerization process of dental materials

    SciTech Connect (OSTI)

    Boboia, S. [Babes Bolyai University, Raluca Ripan Chemistry Research Institute, Department of Polymer Composites, 400294 Cluj-Napoca, Romania and Technical University of Cluj-Napoca, Physics and Chemistry Department, 400114 Cluj-Napoca (Romania)] [Babes Bolyai University, Raluca Ripan Chemistry Research Institute, Department of Polymer Composites, 400294 Cluj-Napoca, Romania and Technical University of Cluj-Napoca, Physics and Chemistry Department, 400114 Cluj-Napoca (Romania); Moldovan, M. [Babes Bolyai University, Raluca Ripan Chemistry Research Institute, Department of Polymer Composites, 400294 Cluj-Napoca (Romania)] [Babes Bolyai University, Raluca Ripan Chemistry Research Institute, Department of Polymer Composites, 400294 Cluj-Napoca (Romania); Ardelean, I. [Technical University of Cluj-Napoca, Physics and Chemistry Department, 400114 Cluj-Napoca (Romania)] [Technical University of Cluj-Napoca, Physics and Chemistry Department, 400114 Cluj-Napoca (Romania)

    2013-11-13T23:59:59.000Z

    The residual monomer present in post-polymerized dental materials encourages premature degradation of the reconstructed tooth. That is why the residual monomer should be quantified in a simple, fast, accurate and reproducible manner. In our work we propose such an approach for accurate determination of the residual monomer in dental materials which is based on low-field nuclear magnetic resonance (NMR) relaxometry. The results of the NMR approach are compared with those of the high performance liquid chromatography (HPLC) technique. The samples under study contain the main monomers (2,2-bis[4-(2-hydroxy-3-methacryloyloxypropoxy)phenyl]propane and triethylene glycol dimethacrylate) constituting the liquid phase of most dental materials and an initiator. Two samples were analyzed with different ratios of chemical initiation systems: N,N-dimethyl-p-toluide: benzoyl peroxide (1:2 and 0.7:1.2). The results obtained by both techniques highlight that by reducing the initiator the polymerization process slows down and the amount of residual monomer reduces. This prevents the premature degradation of the dental fillings and consequently the reduction of the biomaterial resistance.

  2. Stereochemistry Determination by Powder X-ray Diffraction Analysis and NMR Spectroscopy Residual Dipolar Couplings

    SciTech Connect (OSTI)

    Garcia, M.; Pagola, S; Navarro-Vasquez, A; Phillips, D; Gayathri, C; Krakauer, H; Stephens, P; Nicotra, V; Gil, R

    2009-01-01T23:59:59.000Z

    A matter of technique: For a new steroidal lactol, jaborosalactol 24 (1), isolated from Jaborosa parviflora, NMR spectroscopy residual dipolar couplings and powder X-ray diffraction analysis independently gave the same stereochemistry at C23-C26. Conventional NMR spectroscopic techniques, such as NOE and {sup 3}J coupling-constant analysis failed to unambiguously determine this stereochemistry.

  3. End-of-life vehicle recycling : state of the art of resource recovery from shredder residue.

    SciTech Connect (OSTI)

    Jody, B. J.; Daniels, E. J.; Energy Systems

    2007-03-21T23:59:59.000Z

    Each year, more than 50 million vehicles reach the end of their service life throughout the world. More than 95% of these vehicles enter a comprehensive recycling infrastructure that includes auto parts recyclers/dismantlers, remanufacturers, and material recyclers (shredders). Today, about 75% of automotive materials are profitably recycled via (1) parts reuse and parts and components remanufacturing and (2) ultimately by the scrap processing (shredding) industry. The process by which the scrap processors recover metal scrap from automobiles involves shredding the obsolete automobiles, along with other obsolete metal-containing products (such as white goods, industrial scrap, and demolition debris), and recovering the metals from the shredded material. The single largest source of recycled ferrous scrap for the iron and steel industry is obsolete automobiles. The non-metallic fraction that remains after the metals are recovered from the shredded materials (about 25% of the weight of the vehicle)--commonly called shredder residue--is disposed of in landfills. Over the past 10 to 15 years, a significant amount of research and development has been undertaken to enhance the recycle rate of end-of-life vehicles (ELVs), including enhancing dismantling techniques and improving remanufacturing operations. However, most of the effort has focused on developing technology to recover materials, such as polymers, from shredder residue. To make future vehicles more energy efficient, more lighter-weight materials--primarily polymers and polymer composites--will be used in manufacturing these vehicles. These materials increase the percentage of shredder residue that must be disposed of, compared with the percentage of metals. Therefore, as the complexity of automotive materials and systems increases, new technologies will be required to sustain and maximize the ultimate recycling of these materials and systems at end-of-life. Argonne National Laboratory (Argonne), in cooperation with the Vehicle Recycling Partnership (VRP) and the American Plastics Council (APC), is working to develop technology for recycling materials from shredder residue. Several other organizations worldwide are also working on developing technology for recycling shredder residue. Without a commercially viable shredder industry, our nation may face greater environmental challenges and a decreased supply of quality scrap and be forced to turn to primary ores for the production of finished metals. This document presents a review of the state of the art in shredder residue recycling. Available technologies and emerging technologies for the recycling of materials from shredder residue are discussed.

  4. The Effect of Weld Residual Stress on Life of Used Nuclear Fuel Dry Storage Canisters

    SciTech Connect (OSTI)

    Ronald G. Ballinger; Sara E. Ferry; Bradley P. Black; Sebastien P. Teysseyre

    2013-08-01T23:59:59.000Z

    With the elimination of Yucca Mountain as the long-term storage facility for spent nuclear fuel in the United States, a number of other storage options are being explored. Currently, used fuel is stored in dry-storage cask systems constructed of steel and concrete. It is likely that used fuel will continue to be stored at existing open-air storage sites for up to 100 years. This raises the possibility that the storage casks will be exposed to a salt-containing environment for the duration of their time in interim storage. Austenitic stainless steels, which are used to construct the canisters, are susceptible to stress corrosion cracking (SCC) in chloride-containing environments if a continuous aqueous film can be maintained on the surface and the material is under stress. Because steel sensitization in the canister welds is typically avoided by avoiding post-weld heat treatments, high residual stresses are present in the welds. While the environment history will play a key role in establishing the chemical conditions for cracking, weld residual stresses will have a strong influence on both crack initiation and propagation. It is often assumed for modeling purposes that weld residual stresses are tensile, high and constant through the weld. However, due to the strong dependence of crack growth rate on stress, this assumption may be overly conservative. In particular, the residual stresses become negative (compressive) at certain points in the weld. The ultimate goal of this research project is to develop a probabilistic model with quantified uncertainties for SCC failure in the dry storage casks. In this paper, the results of a study of the residual stresses, and their postulated effects on SCC behavior, in actual canister welds are presented. Progress on the development of the model is reported.

  5. Plant foliar disease suppression mediated by composted forms of paper mill residuals exhibits molecular features of induced resistance

    E-Print Network [OSTI]

    Goodman, Robert M.

    Plant foliar disease suppression mediated by composted forms of paper mill residuals exhibits Arabidopsis thaliana grown in soil from field plots amended with composted forms of paper mill residuals (PMR with plants grown in soil from field plots amended with a non-composted PMR or non-amended soils. Similar

  6. Effects of residual stress on the thin-film elastic moduli calculated from surface acoustic wave spectroscopy experimentsB

    E-Print Network [OSTI]

    Effects of residual stress on the thin-film elastic moduli calculated from surface acoustic wave 23 February 2005 Available online 26 April 2005 Abstract We describe a method to examine how residual equibiaxial stress. The five test samples consisted of TiN films deposited on single-crystal Si substrate

  7. AN IMPROVED TREATMENT OF RESIDUAL STRESSES IN FLAW ASSESSMENT OF PIPES AND PRESSURE VESSELS FABRICATED FROM FERRITIC STEELS

    E-Print Network [OSTI]

    Michaleris, Panagiotis

    FABRICATED FROM FERRITIC STEELS William C. Mohr, Panagiotis Michaleris, and Mark T. Kirk Edison Welding ferritic steels. Information on these residual stresses are drawn from the literature; both measured treatment of residual stresses produced by welding in pipes and pressure vessels fabricated from ferritic

  8. Mobilisation of arsenic from bauxite residue (red mud) affected soils: Effect of pH and redox conditions

    E-Print Network [OSTI]

    Burke, Ian

    ). Typically, it comprises residual iron oxides, quartz, sodium aluminosilicates, titanium dioxide, calciumMobilisation of arsenic from bauxite residue (red mud) affected soils: Effect of pH and redox elements, including arsenic. Aerobic and anaer- obic batch experiments were prepared using soils from near

  9. Microbial community response to a release of neat ethanol onto residual hydrocarbons in a pilot-scale

    E-Print Network [OSTI]

    Alvarez, Pedro J.

    Microbial community response to a release of neat ethanol onto residual hydrocarbons in a pilot ethanol release (E100, 76 l) onto residual hydrocarbons in sandy soil was evaluated in a continuous-flow 8 shifts were assessed using quantitative real-time PCR analysis. High ethanol concentrations

  10. Supply Assessment of Forest Logging Residues and Non-Sawlog Biomass in the Vicinity of Missoula, Montana, 2011-2013

    E-Print Network [OSTI]

    Vonessen, Nikolaus

    1 Supply Assessment of Forest Logging Residues and Non-Sawlog Biomass in the Vicinity of Missoula logging slash and non-sawlog biomass are commonly disposed of in the forest through piling and open biomass sources such as forest inventories, planned projects on other landownerships, and mill residues

  11. Assessment of the PCDD/F fate from MSWI residues used1 in road construction in France2

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Assessment of the PCDD/F fate from MSWI residues used1 in road construction in France2 3 R of these alternative materials is that of the Municipal59 Solid Waste Incinerator (MSWI) residue which is produced from the household60 wastes combustion and used for road and car-park construction.61 In France, the use of MSWI

  12. WEEE and portable batteries in residual household waste: Quantification and characterisation of misplaced waste

    SciTech Connect (OSTI)

    Bigum, Marianne, E-mail: mkkb@env.dtu.dk [Technical University of Denmark, Department of Environmental Engineering, Miljvej 113, 2500 Kgs. Lyngby (Denmark); Petersen, Claus, E-mail: claus_petersen@econet.dk [Econet A/S, Strandboulevarden 122, 5, 2100 Kbenhavn (Denmark); Christensen, Thomas H., E-mail: thho@env.dtu.dk [Technical University of Denmark, Department of Environmental Engineering, Miljvej 113, 2500 Kgs. Lyngby (Denmark); Scheutz, Charlotte, E-mail: chas@env.dtu.dk [Technical University of Denmark, Department of Environmental Engineering, Miljvej 113, 2500 Kgs. Lyngby (Denmark)

    2013-11-15T23:59:59.000Z

    Highlights: We analyse 26.1 Mg of residual waste from 3129 Danish households. We quantify and characterise misplaced WEEE and portable batteries. We compare misplaced WEEE and batteries to collection through dedicated schemes. Characterisation showed that primarily small WEEE and light sources are misplaced. Significant amounts of misplaced batteries were discarded as built-in WEEE. - Abstract: A total of 26.1 Mg of residual waste from 3129 households in 12 Danish municipalities was analysed and revealed that 89.6 kg of Waste Electrical and Electronic Equipment (WEEE), 11 kg of batteries, 2.2 kg of toners and 16 kg of cables had been wrongfully discarded. This corresponds to a Danish household discarding 29 g of WEEE (7 items per year), 4 g of batteries (9 batteries per year), 1 g of toners and 7 g of unidentifiable cables on average per week, constituting 0.34% (w/w), 0.04% (w/w), 0.01% (w/w) and 0.09% (w/w), respectively, of residual waste. The study also found that misplaced WEEE and batteries in the residual waste constituted 16% and 39%, respectively, of what is being collected properly through the dedicated special waste collection schemes. This shows that a large amount of batteries are being discarded with the residual waste, whereas WEEE seems to be collected relatively successfully through the dedicated special waste collection schemes. Characterisation of the misplaced batteries showed that 20% (w/w) of the discarded batteries were discarded as part of WEEE (built-in). Primarily alkaline batteries, carbon zinc batteries and alkaline button cell batteries were found to be discarded with the residual household waste. Characterisation of WEEE showed that primarily small WEEE (WEEE directive categories 2, 5a, 6, 7 and 9) and light sources (WEEE directive category 5b) were misplaced. Electric tooth brushes, watches, clocks, headphones, flashlights, bicycle lights, and cables were items most frequently found. It is recommended that these findings are taken into account when designing new or improving existing special waste collection schemes. Improving the collection of WEEE is also recommended as one way to also improve the collection of batteries due to the large fraction of batteries found as built-in. The findings in this study were comparable to other western European studies, suggesting that the recommendations made in this study could apply to other western European countries as well.

  13. Organochlorine insecticide residues in soil and earthworms in the Delhi area, India, August-October 1974

    SciTech Connect (OSTI)

    Yadav, D.V.; Mittal, P.K.; Agarwal, H.C.; Pillai, M.K.

    1981-09-01T23:59:59.000Z

    DDT residues in soil and earthworms from 50 sites in Delhi were monitored. DDT was detected in all but two samples each of soil and earthworms. Among DDT residues, p,p'-DDE was most common and was found in 48 samples each of soil and earthworms; p,p'-DDT was detected in only 43 soil samples and 46 earthworm samples. p,p'-TDE and o,p'-DDT were also present in smaller concentrations in 29 and 15 soil samples and in 43 and 25 earthworm samples, respectively. Maximum total DDT concentration of 2.6 ppm was detected in the soil from Durga Nagar in the vicinity of a DDT factory. The highest concentration of 37.7 ppm total DDT in earthworms was also obtained from the same site. The maximum concentration factor found in the earthworms was 551. The total DDT concentration in the earthworms and soil showed significant correlation.

  14. End-of-life vehicle recycling : state of the art of resource recovery from shredder residue.

    SciTech Connect (OSTI)

    Jody, B. J.; Daniels, E. J.; Duranceau, C. M.; Pomykala, J. A.; Spangenberger, J. S. (Energy Systems)

    2011-02-22T23:59:59.000Z

    Each year, more than 25 million vehicles reach the end of their service life throughout the world, and this number is rising rapidly because the number of vehicles on the roads is rapidly increasing. In the United States, more than 95% of the 10-15 million scrapped vehicles annually enter a comprehensive recycling infrastructure that includes auto parts recyclers/dismantlers, remanufacturers, and material recyclers (shredders). Today, over 75% of automotive materials, primarily the metals, are profitably recycled via (1) parts reuse and parts and components remanufacturing and (2) ultimately by the scrap processing (shredding) industry. The process by which the scrap processors recover metal scrap from automobiles involves shredding the obsolete automobile hulks, along with other obsolete metal-containing products (such as white goods, industrial scrap, and demolition debris), and recovering the metals from the shredded material. The single largest source of recycled ferrous scrap for the iron and steel industry is obsolete automobiles. The non-metallic fraction that remains after the metals are recovered from the shredded materials - commonly called shredder residue - constitutes about 25% of the weight of the vehicle, and it is disposed of in landfills. This practice is not environmentally friendly, wastes valuable resources, and may become uneconomical. Therefore, it is not sustainable. Over the past 15-20 years, a significant amount of research and development has been undertaken to enhance the recycle rate of end-of-life vehicles, including enhancing dismantling techniques and improving remanufacturing operations. However, most of the effort has been focused on developing technology to separate and recover non-metallic materials, such as polymers, from shredder residue. To make future vehicles more energy efficient, more lightweighting materials - primarily polymers, polymer composites, high-strength steels, and aluminum - will be used in manufacturing these vehicles. Many of these materials increase the percentage of shredder residue that must be disposed of, compared with the percentage of metals that are recovered. In addition, the number of hybrid vehicles and electric vehicles on the road is rapidly increasing. This trend will also introduce new materials for disposal at the end of their useful lives, including batteries. Therefore, as the complexity of automotive materials and systems increases, new technologies will be required to sustain and maximize the ultimate recycling of these materials and systems. Argonne National Laboratory (Argonne), the Vehicle Recycling Partnership, LLC. (VRP) of the United States Council for Automotive Research, LLC. (USCAR), and the American Chemistry Council-Plastics Division (ACC-PD) are working to develop technology for recovering materials from end-of-life vehicles, including separating and recovering polymers and residual metals from shredder residue. Several other organizations worldwide are also working on developing technology for recycling materials from shredder residue. Without a commercially viable shredder industry, our nation and the world will most likely face greater environmental challenges and a decreased supply of quality scrap, and thereby be forced to turn to primary ores for the production of finished metals. This will result in increased energy consumption and increased damage to the environment, including increased greenhouse gas emissions. The recycling of polymers, other organics, and residual metals in shredder residue saves the equivalent of over 23 million barrels of oil annually. This results in a 12-million-ton reduction in greenhouse gas emissions. This document presents a review of the state-of-the-art in the recycling of automotive materials.

  15. Residual stress determination in an overlay dissimilar welded pipe by neutron diffraction

    SciTech Connect (OSTI)

    Woo, Wan Chuck [ORNL; Em, Vyacheslav [Korea Atomic Energy Research Institute; Hubbard, Camden R [ORNL; Lee, Ho-Jin [Korea Atomic Energy Research Institute; Park, Kwang Soo [Doosan Heavy Industries & Construction

    2011-01-01T23:59:59.000Z

    Residual stresses were determined through the thickness of a dissimilar weld overlay pipe using neutron diffraction. The specimen has a complex joining structure consisting of a ferritic steel (SA508), austenitic steel (F316L), Ni-based consumable (Alloy 182), and overlay of Ni-base superalloy (Alloy 52M). It simulates pressurized nozzle components, which have been a critical issue under the severe crack condition of nuclear power reactors. Two neutron diffractometers with different spatial resolutions have been utilized on the identical specimen for comparison. The macroscopic 'stress-free' lattice spacing (d{sub o}) was also obtained from both using a 2-mm width comb-like coupon. The results show significant changes in residual stresses from tension (300-400 MPa) to compression (-600 MPa) through the thickness of the dissimilar weld overlay pipe specimen.

  16. Fault detection in an air-handling unit using residual and recursive parameter identification methods

    SciTech Connect (OSTI)

    Lee, W.Y. [Korea Inst. of Energy Research, Taejon (Korea, Republic of); Park, C.; Kelly, G.E. [National Inst. of Standards and Technology, Gaithersburg, MD (United States)

    1996-11-01T23:59:59.000Z

    A scheme for detecting faults in an air-handling unit using residual and parameter identification methods is presented. Faults can be detected by comparing the normal or expected operating condition data with the abnormal, measured data using residuals. Faults can also be detected by examining unmeasurable parameter changes in a model of a controlled system using a system parameter identification technique. In this study, autoregressive moving average with exogenous input (ARMAX) and autoregressive with exogenous input (ARX) models with both single-input/single-output (SISO) and multi-input/single-output (MISO) structures are examined. Model parameters are determined using the Kalman filter recursive identification method. This approach is tested using experimental data from a laboratory`s variable-air-volume (VAV) air-handling unit operated with and without faults.

  17. Characteristics of naphthenic and paraffinic hydrocarbons of residual oil from West Siberian crudes

    SciTech Connect (OSTI)

    Detusheva, E.P.; Khramtsova, L.P.; Muchinskii, T.D.; Shkol'nikov, V.M.

    1984-05-01T23:59:59.000Z

    This article examines the naphthenic/paraffinic hydrocarbons segregated by liquid chromatography from a residual oil after removal of the resins and solid hydrocarbons. The studied hydrocarbons were fractionated on the basis of molecular weight (by molecular distillation) and on the basis of the content of rings (by thermal diffusion separation in a laboratory column). The results of mass-spectrometric analysis indicate that the first fraction consists mainly of isoparaffins and naphthenes with few rings. The polycyclic condensed naphthenes are concentrated in the last fraction. The content of isoparaffins drops off and the content of condensed polycyclic naphthenic structures increases from the second fraction to the next to the last. It is concluded that the naphthenic/paraffinic hydrocarbons of the residual oil from mixed West Siberian crudes have a relatively narrow composition and therefore have similar physicochemical properties.

  18. Residual stress measurement on ductile cast iron using critically refracted longitudinal (Lcr) wave technique

    E-Print Network [OSTI]

    Chundu, Srinivasulu Naidu

    1991-01-01T23:59:59.000Z

    of requirements for the degree of MASTER OF SCIENCE December 1991 Major Subject: Mechanical Engineering RESIDUAL STRESS MEASUREMENT IN DUCTILE CAST IRON USING CRITICALLY REFRACTED LONGITUDINAL (Lcm) WAVE TECHNIQUE A Thesis by SRINIVASULU NAIDU CHUNDU.... In an attempt to study the effect of heat-treatment on the acoustoelastic behavior of ductile cast iron, four continuously cast ductile iron bars were investigated. While one bar was retained as-cast, the other three bars were subjected to heat...

  19. Recovery of fissile materials from plutonium residues, miscellaneous spent nuclear fuel, and uranium fissile wastes

    SciTech Connect (OSTI)

    Forsberg, C.W.

    1997-03-01T23:59:59.000Z

    A new process is proposed that converts complex feeds containing fissile materials into a chemical form that allows the use of existing technologies (such as PUREX and ion exchange) to recover the fissile materials and convert the resultant wastes to glass. Potential feed materials include (1) plutonium scrap and residue, (2) miscellaneous spent nuclear fuel, and (3) uranium fissile wastes. The initial feed materials may contain mixtures of metals, ceramics, amorphous solids, halides, and organics. 14 refs., 4 figs.

  20. Residual New Physics Effects in the Heavy Quark Sector, Tests at LEP2 and Higher Energies

    E-Print Network [OSTI]

    F. M. Renard

    1997-07-07T23:59:59.000Z

    We discuss the sensitivity of the processes $e^+e^-\\to t\\bar t$ and $e^+e^-\\to b\\bar b$ to special sets of operators describing residual New Physics effects. Experimental data in this sector together with those expected in the bosonic sector should allow to constrain possible New Physics schemes with effective scales in the 10 TeV range.