Sample records for validation exercise prove

  1. Exercises

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-08-21T23:59:59.000Z

    This volume addresses development and conduct of emergency response exercises. Canceled by DOE G 151.1-3.

  2. Emergency exercise methodology

    SciTech Connect (OSTI)

    Klimczak, C.A.

    1993-01-01T23:59:59.000Z

    Competence for proper response to hazardous materials emergencies is enhanced and effectively measured by exercises which test plans and procedures and validate training. Emergency exercises are most effective when realistic criteria is used and a sequence of events is followed. The scenario is developed from pre-determined exercise objectives based on hazard analyses, actual plans and procedures. The scenario should address findings from previous exercises and actual emergencies. Exercise rules establish the extent of play and address contingencies during the exercise. All exercise personnel are assigned roles as players, controllers or evaluators. These participants should receive specialized training in advance. A methodology for writing an emergency exercise plan will be detailed.

  3. Validation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps toValidating Computer-DesignedValidation in

  4. Validating

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps to Predict4VacancyVacancy-InducedValValidating

  5. Name:_____________________________ (Web Exercise)

    E-Print Network [OSTI]

    Richardson, David

    Name:_____________________________ (Web Exercise) Model quality, validation exercise. You will need a web link to MolProbity (with Java), and the file 1JIRon1S83_Arg66_supr.kin download- ed from the kinemage.biochem.duke.edu BCH681 web site, or from Sakai. Part 1: MolProbity Go to the MolProbity web

  6. Utility lighting summit proves illuminating

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

    Utility-lighting-summit-proves-illuminating Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects...

  7. Proving Correctness of Modular Functional Programs 

    E-Print Network [OSTI]

    Owens, Christopher

    One reason for studying and programming in functional programming languages is that they are easy to reason about, yet there is surprisingly little work on proving the correctness of large functional programs. In this dissertation I show how...

  8. Generic Exercise Objectives

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-08-21T23:59:59.000Z

    This volume provides additional detail on preparation of exercise objectives. Canceled by DOE G 151.1-3.

  9. Kentucky Shale Proved Reserves (Billion Cubic Feet)

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

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

  10. Distributed Theorem Proving for Distributed Hybrid Systems

    E-Print Network [OSTI]

    Platzer, André

    system with a varying number of arbitrarily many cars. 1 Introduction Hybrid systems with joint discrete a multi-agent system, e.g., distributed car control systems. Such systems form distributed hybrid systemsDistributed Theorem Proving for Distributed Hybrid Systems David W. Renshaw, Sarah M. Loos

  11. Exercise Design Laboratory

    Broader source: Energy.gov [DOE]

    The Emergency Operations Training Academy (EOTA), NA 40.2, Readiness and Training, Albuquerque, NM is pleased to announce the EXR231, Exercise Design Laboratory course

  12. Ohio Shale Proved Reserves (Billion Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65per9 0 1(BillionThousandShale

  13. Oklahoma Shale Proved Reserves (Billion Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65per9Yearper ThousandShale

  14. Pennsylvania Shale Proved Reserves (Billion Cubic Feet)

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

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

  15. Proved Reserves as of 12/31

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice8.PDFThousand7. ConsumptionNov-14698Data

  16. Arkansas Shale Proved Reserves (Billion Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at CommercialDecade Year-0Proved Reserves (Billion Cubic Feet)

  17. Colorado Shale Proved Reserves (Billion Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at CommercialDecadeReservesYear21 3.96 1967-2010CubicProductionProved

  18. Kansas Shale Proved Reserves (Billion Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688ElectricityLessAprilResidentialTexasThousandProved

  19. Michigan Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYearUndergroundCubicDecadeFeet)Proved Reserves

  20. Federal Offshore, Pacific (California) Proved Nonproducing Reserves

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.Gas Proved Reserves, Wet AfterDec.Dec.12 12 13

  1. Florida Dry Natural Gas Proved Reserves

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.Gas ProvedCommercial Consumers by Local0 01 7

  2. Wyoming Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1(MillionExtensionsThousandUnderground Storage VolumeperProved Reserves

  3. Top 100 Operators: Proved Reserves and Production, Operated vs...

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

    Top 100 Operators: Proved Reserves and Production, Operated vs Owned, 2009 1 Top 100 Operators: Proved Reserves and Production, Operated vs Owned, 2009 The operator of an oil or...

  4. Gulf of Mexico Proved Reserves By Water Depth, 2009

    Gasoline and Diesel Fuel Update (EIA)

    Gulf of Mexico Proved Reserves and Production by Water Depth, 2009 1 Gulf of Mexico Proved Reserves and Production by Water Depth The Gulf of Mexico Federal Offshore region (GOM...

  5. Exercise Controller and Evaluator Manual

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-08-21T23:59:59.000Z

    This volume details the roles of controllers and evaluators in emergency exercises. Canceled by DOE G 151.1-3.

  6. Renewable Energy Opportunities at Yuma Proving Ground, Arizona

    SciTech Connect (OSTI)

    Orrell, Alice C.; Kora, Angela R.; Russo, Bryan J.; Williamson, Jennifer L.; Weimar, Mark R.; Gorrissen, Willy J.; Dixon, Douglas R.

    2010-06-30T23:59:59.000Z

    This document provides an overview of renewable resource potential at Yuma Proving Ground, based primarily upon analysis of secondary data sources supplemented with limited on-site evaluations.

  7. CoastWatch/OceanWatch Proving Ground: VIIRS Ocean Color

    E-Print Network [OSTI]

    ;VIIRS Operational Ocean Color User: NWS/EMC · Phytoplankton alter the penetration of solar radiationCoastWatch/OceanWatch Proving Ground: VIIRS Ocean Color User Engagement, Quality Assessment Science Seminar #12;Outline Overview of VIIRS Ocean Color Proving Ground (Hughes) VIIRS Ocean Color

  8. Automating Theorem Proving with SMT K. Rustan M. Leino

    E-Print Network [OSTI]

    Leino, K. Rustan M.

    Automating Theorem Proving with SMT K. Rustan M. Leino Microsoft Research, Redmond, WA, USA leino-modulo- theories (SMT) solvers is changing the landscape for mechanized formal theorem proving. For instance, the SMT-based program verifier Dafny supports a number of proof features traditionally found only

  9. Slip sliding away: Graphene and diamonds prove a slippery combination...

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

    Slip sliding away: Graphene and diamonds prove a slippery combination By Jared Sagoff * May 22, 2015 Tweet EmailPrint Scientists at the U.S. Department of Energy's Argonne National...

  10. Proving anthropogenic global warming and disproving natural warming

    E-Print Network [OSTI]

    Lovejoy, Shaun

    1 Proving anthropogenic global warming and disproving natural warming in global temperatures between 5 and 6o C. Although he was aware that his, these were negligible: global fossil fuel consumption was less than a twentieth

  11. Prototype Testing Could Help Prove a Promising Energy Source...

    Energy Savers [EERE]

    Marine and Hydrokinetic Technology Manager The first third-party-validated, grid-tied wave energy device in North American waters started feeding renewable electricity to...

  12. does not prove NP = co-NP uniformly Chris Pollett

    E-Print Network [OSTI]

    Pollett, Chris

    that a strengthening, S k;exp , of the well-studied bounded arith- metic system S k of Buss does not prove NP = co if Buss' theories S k can prove MRDP then #6; b 1;k = #5; b 1;k . In particular, when k = 2, this implies NP = co-NP. These theories S k of Buss are interesting theories in which to study the MDRP theorem

  13. SANSMIC Validation.

    SciTech Connect (OSTI)

    Weber, Paula D.; Rudeen, David Keith; Lord, David

    2014-08-01T23:59:59.000Z

    SANSMIC is solution mining software that was developed and utilized by SNL in its role as geotechnical advisor to the US DOE SPR for planning purposes. Three SANSMIC leach modes - withdrawal, direct, and reverse leach - have been revalidated with multiple test cases for each mode. The withdrawal mode was validated using high quality data from recent leach activity while the direct and reverse modes utilized data from historical cavern completion reports. Withdrawal results compared very well with observed data, including the location and size of shelves due to string breaks with relative leached volume differences ranging from 6 - 10% and relative radius differences from 1.5 - 3%. Profile comparisons for the direct mode were very good with relative leached volume differences ranging from 6 - 12% and relative radius differences from 5 - 7%. First, second, and third reverse configurations were simulated in order to validate SANSMIC over a range of relative hanging string and OBI locations. The first-reverse was simulated reasonably well with relative leached volume differences ranging from 1 - 9% and relative radius differences from 5 - 12%. The second-reverse mode showed the largest discrepancies in leach profile. Leached volume differences ranged from 8 - 12% and relative radius differences from 1 - 10%. In the third-reverse, relative leached volume differences ranged from 10 - 13% and relative radius differences were ~4 %. Comparisons to historical reports were quite good, indicating that SANSMIC is essentially the same as documented and validated in the early 1980's.

  14. Answers to the set revision exercise 1 Answers to the set revision exercise

    E-Print Network [OSTI]

    Alechina, Natasha

    to the set revision exercise 5 Answers to the set revision exercise · If A has k elements, how many different1 Answers to the set revision exercise 1 Answers to the set revision exercise · Are A = {1 in which they are listed does not matter. Answers to the set revision exercise 2 Answers to the set

  15. New Mexico Coalbed Methane Proved Reserves (Billion Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved Reservesthroughwww.eia.govN ECoalbed Methane Proved

  16. New Mexico Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved Reservesthroughwww.eia.govN ECoalbed Methane Proved+

  17. New York Coalbed Methane Proved Reserves (Billion Cubic Feet)

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

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

  18. Oklahoma Coalbed Methane Proved Reserves (Billion Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65per9 0Proved ReservesCoalbed

  19. Oklahoma Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65per9 0Proved ReservesCoalbed+

  20. Pennsylvania Coalbed Methane Proved Reserves (Billion Cubic Feet)

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

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

  1. Pennsylvania Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

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

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

  2. California (with State off) Coalbed Methane Proved Reserves (Billion Cubic

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at CommercialDecade Year-0ProvedGrossFeet) Proved Reserves

  3. California (with State off) Shale Proved Reserves (Billion Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at CommercialDecade Year-0ProvedGrossFeet) Proved

  4. California - Coastal Region Coalbed Methane Proved Reserves (Billion Cubic

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at CommercialDecade Year-0ProvedGrossFeet) ProvedFeet)

  5. Arkansas Coalbed Methane Proved Reserves (Billion Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at CommercialDecade Year-0 Year-1Year JanDecade Year-0ProvedProved

  6. Arkansas Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at CommercialDecade Year-0 Year-1Year JanDecade Year-0ProvedProved+

  7. Louisiana (with State Offshore) Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan Next MECS will beProvedShale ProductionProved

  8. Lower 48 States Coalbed Methane Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear JanProductionSeparation, Proved ReservesProved

  9. Four pedagogic exercises

    E-Print Network [OSTI]

    D. N. Basu

    2011-03-24T23:59:59.000Z

    This article describes four innovative pedagogical exercises: (i) The expression for relation between cross sections in the laboratory and the centre of mass systems provided in text books assumes zero or low Q values which needs to be corrected for the most general case when Q value of the reaction is not negligible compared to the masses of interacting nuclei. The general expression derived here can be used for elastic and inelastic cases involving zero, low or even very high Q values. (ii) The equation of oscillatory motion of a massive surface put horizontally on two wheels rotating with equal and opposite angular velocities is established. The time period of oscillation is related to the coefficient of dynamic friction between the surface and the wheels which facilitates the measurement of the coefficient of dynamic friction. (iii) The equation of motion of a fixed torque mass shedding vehicle moving against friction and its velocity at any instant of time are derived. This example is equivalent to motion of a mass shedding rocket moving by applying fixed force against atmospheric friction. (iv) The equation of the path of a missile directed at every instant of time towards a rectilinearly moving target and time taken to hit the target are derived. It provides equation of path for asteroid and comet destructing missiles as conceptualized by NASA projects.

  10. Xs are for Trajectory Evaluation, Booleans are for Theorem Proving

    E-Print Network [OSTI]

    Melham, Tom

    . Aagaard,1 Thomas F. Melham,2 John W. O'Leary1 1 Strategic CAD Labs 2 FATA Research Group Intel Corporation and model checkers. #12;M. D. Aagaard, T. F. Melham and J. W. O'Leary, `Xs are for Trajec- tory Evaluation. Melham, and J. W. O'Leary, `Xs are for Trajectory Evaluation, Booleans are for Theo- rem Proving

  11. Proving termination by policy iteration Damien Masse1

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    NSAD 2012 Proving termination by policy iteration Damien Mass´e1 Lab-Sticc, UMR 6285 UBO conditions for program termination. Restricting ourselves to affine programs and the abstract domain. Keywords: Abstract interpretation, policy iteration, template constraint matrices, termination analysis. 1

  12. PNNL Results from 2010 CALIBAN Criticality Accident Dosimeter Intercomparison Exercise

    SciTech Connect (OSTI)

    Hill, Robin L.; Conrady, Matthew M.

    2011-10-28T23:59:59.000Z

    This document reports the results of the Hanford personnel nuclear accident dosimeter (PNAD) and fixed nuclear accident dosimeter (FNAD) during a criticality accident dosimeter intercomparison exercise at the CEA Valduc Center on September 20-23, 2010. Pacific Northwest National Laboratory (PNNL) participated in a criticality accident dosimeter intercomparison exercise at the Commissariat a Energie Atomique (CEA) Valduc Center near Dijon, France on September 20-23, 2010. The intercomparison exercise was funded by the U.S. Department of Energy, Nuclear Criticality Safety Program, with Lawrence Livermore National Laboratory as the lead Laboratory. PNNL was one of six invited DOE Laboratory participants. The other participating Laboratories were: Lawrence Livermore National Laboratory (LLNL), Los Alamos National Laboratory (LANL), Savannah River Site (SRS), the Y-12 National Security Complex at Oak Ridge, and Sandia National Laboratory (SNL). The goals of PNNL's participation in the intercomparison exercise were to test and validate the procedures and algorithm currently used for the Hanford personnel nuclear accident dosimeters (PNADs) on the metallic reactor, CALIBAN, to test exposures to PNADs from the side and from behind a phantom, and to test PNADs that were taken from a historical batch of Hanford PNADs that had varying degrees of degradation of the bare indium foil. Similar testing of the PNADs was done on the Valduc SILENE test reactor in 2009 (Hill and Conrady, 2010). The CALIBAN results are reported here.

  13. ORISE: Exercise Builder software tool helps DOE design and implement...

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

    to produce custom exercise packages. Additional features of Exercise Builder include: Step-by-step, prompted assistance in developing the documents required for an exercise...

  14. Renewable Energy Opportunties at Dugway Proving Ground, Utah

    SciTech Connect (OSTI)

    Orrell, Alice C.; Kora, Angela R.; Russo, Bryan J.; Horner, Jacob A.; Williamson, Jennifer L.; Weimar, Mark R.; Gorrissen, Willy J.; Nesse, Ronald J.; Dixon, Douglas R.

    2010-05-31T23:59:59.000Z

    This document provides an overview of renewable resource potential at Dugway Proving Ground, based primarily upon analysis of secondary data sources supplemented with limited on-site evaluations. This effort focuses on grid-connected generation of electricity from renewable energy sources and ground source heat pumps (GSHPs). The effort was funded by the U.S. Army Installation Management Command (IMCOM) as follow-on to the 2005 Department of Defense (DoD) Renewables Assessment.

  15. Python programming --exercises Finn Arup Nielsen

    E-Print Network [OSTI]

    -- exercises Install Python Install ipython (e.g., by pip) Start with: ipython -pylab Once installed make sure

  16. Kansas Natural Gas Plant Liquids, Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Building FloorspaceThousandWithdrawals0.0DecadeYear Jan Feb MarProved Reserves

  17. Michigan Natural Gas Plant Liquids, Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) 3Exports (NoYear Jan (MillionProved

  18. Mississippi Natural Gas Plant Liquids, Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million CubicCubic Feet) PriceLiquids, Proved Reserves

  19. Montana Natural Gas Plant Liquids, Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million CubicCubic32,876 10,889Decade Year-0andProved Reserves

  20. Nebraska Nonassociated Natural Gas, Wet After Lease Separation, Proved

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

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

  1. New Mexico - East Crude Oil + Lease Condensate Proved Reserves (Million

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

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

  2. New Mexico - West Crude Oil + Lease Condensate Proved Reserves (Million

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

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

  3. New Mexico Natural Gas Liquids Lease Condensate, Proved Reserves (Million

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

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

  4. New Mexico Nonassociated Natural Gas, Wet After Lease Separation, Proved

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

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

  5. New Mexico Shale Proved Reserves (Billion Cubic Feet)

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

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

  6. New Mexico--East Shale Proved Reserves (Billion Cubic Feet)

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

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

  7. New Mexico--West Shale Proved Reserves (Billion Cubic Feet)

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

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

  8. New York Natural Gas Liquids Lease Condensate, Proved Reserves (Million

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

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

  9. New York Nonassociated Natural Gas, Wet After Lease Separation, Proved

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65 1967-2010Reserves (Billion

  10. North Dakota Coalbed Methane Proved Reserves (Billion Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65 2013A4. Census RegionNorth

  11. North Dakota Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65 2013A4. Census RegionNorth+

  12. North Dakota Natural Gas Liquids Lease Condensate, Proved Reserves (Million

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65 2013A4.Decade

  13. North Dakota Natural Gas, Wet After Lease Separation Proved Reserves

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65per Thousand

  14. North Dakota Nonassociated Natural Gas, Wet After Lease Separation, Proved

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65per ThousandReserves (Billion

  15. North Dakota Shale Proved Reserves (Billion Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65per

  16. Ohio Coalbed Methane Proved Reserves (Billion Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65per9 0 1 2 3

  17. Ohio Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65per9 0 1 2 3+ Lease

  18. Ohio Natural Gas Liquids Lease Condensate, Proved Reserves (Million

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65per9 0 1 2Year Jan

  19. Ohio Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65per9 0 1(Billion Cubic

  20. Oklahoma Natural Gas Liquids Lease Condensate, Proved Reserves (Million

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65per9Year Jan Feb Mar

  1. Oklahoma Natural Gas, Wet After Lease Separation Proved Reserves (Billion

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65per9Year JanYearWellheadCubic

  2. Oklahoma Nonassociated Natural Gas, Wet After Lease Separation, Proved

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65per9Year

  3. Pennsylvania Natural Gas Liquids Lease Condensate, Proved Reserves (Million

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

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

  4. Pennsylvania Natural Gas, Wet After Lease Separation Proved Reserves

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

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

  5. Pennsylvania Nonassociated Natural Gas, Wet After Lease Separation, Proved

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

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

  6. ,"U.S. Proved Nonproducing Reserves"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+LiquidsAnnual",2014Annual",2014Gas,Proved

  7. California - Coastal Region Onshore Crude Oil + Lease Condensate Proved

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at CommercialDecade Year-0ProvedGrossFeet)

  8. Federal Offshore--Texas Coalbed Methane Proved Reserves (Billion Cubic

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688Electricity Use asFeet) Texas Coalbed Methane Proved

  9. Gulf of Mexico Federal Offshore Natural Gas Liquids Proved Reserves

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688Electricity UseFoot)ProvedAfterthanReserves(Million

  10. Kansas Coalbed Methane Proved Reserves (Billion Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688ElectricityLessApril 2015YearYear JanProved Reserves

  11. Kansas Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688ElectricityLessApril 2015YearYear JanProved Reserves+

  12. Kentucky Coalbed Methane Proved Reserves (Billion Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal StocksProved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2

  13. Kentucky Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal StocksProved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2+

  14. Kentucky Natural Gas Liquids Lease Condensate, Proved Reserves (Million

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

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

  15. Kentucky Natural Gas, Wet After Lease Separation Proved Reserves (Billion

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

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

  16. Kentucky Nonassociated Natural Gas, Wet After Lease Separation, Proved

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

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

  17. California Natural Gas Plant Liquids, Proved Reserves (Million Barrels)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469 2,321 2,590Fuel Consumption (MillionLiquids, Proved

  18. Federal Offshore, Gulf of Mexico, Louisiana & Alabama Proved Nonproducing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.Gas Proved Reserves, Wet After

  19. Federal Offshore, Gulf of Mexico, Texas Proved Nonproducing Reserves

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.Gas Proved Reserves, Wet AfterDec. 31

  20. West Virginia Natural Gas Plant Liquids, Proved Reserves (Million Barrels)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial602 1,397 125 Q 69 (Million Cubic58(Million Cubic Feet) WestProved

  1. Texas Natural Gas Plant Liquids, Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 34 44Year Jan Feb Mar Apr May Jun Jul Aug Sep OctandLiquids, Proved

  2. Shale Natural Gas Proved Reserves as of Dec. 31

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14Table 4.April19.Data Series: Proved Reserves as

  3. Michigan Coalbed Methane Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYearUndergroundCubic Feet) Year3:ProductionProved

  4. Michigan Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYearUndergroundCubic Feet) Year3:ProductionProved+

  5. Miscellaneous States Shale Gas Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S.YearProved Reserves

  6. Texas (with State Offshore) Shale Proved Reserves (Billion Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota"Year Jan Feb Mar Apr May Jun JulShale Proved Reserves

  7. Texas - RRC District 1 Crude Oil + Lease Condensate Proved Reserves

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota"Year Jan Feb Mar Apr May Jun JulShale Proved(Million

  8. Texas - RRC District 6 Crude Oil + Lease Condensate Proved Reserves

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

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

  9. Texas - RRC District 8 Crude Oil + Lease Condensate Proved Reserves

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

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

  10. Texas - RRC District 9 Crude Oil + Lease Condensate Proved Reserves

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

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

  11. Texas--State Offshore Shale Proved Reserves (Billion Cubic Feet)

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

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

  12. Federal Offshore, Pacific (California) Coalbed Methane Proved Reserves,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.Gas Proved Reserves, Wet AfterDec.

  13. Federal Offshore, Pacific (California) Nonassociated Natural Gas Proved

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.Gas Proved Reserves, Wet AfterDec.Dec.

  14. Florida Coalbed Methane Proved Reserves, Reserves Changes, and Production

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.Gas ProvedCommercial Consumers by Local0 0 0 0

  15. Florida Crude Oil plus Lease Condensate Proved Reserves

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.Gas ProvedCommercial Consumers by Local0 0 0 09

  16. Florida Lease Condensate Proved Reserves, Reserve Changes, and Production

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.Gas ProvedCommercialNov-14 Dec-14 Jan-15

  17. Florida Natural Gas Plant Liquids, Proved Reserves (Million Barrels)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.GasYear Jan Feb Mar Apr May JunFuelProved

  18. Virginia Coalbed Methane Proved Reserves (Billion Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content4,367,470 4,364,790 4,363,909 4,363,143 4,363,967 4,363,549 1973-2015 Alaska 14,197 14,197 14,197(BillionYear Jan FebProved

  19. West Virginia Coalbed Methane Proved Reserves (Billion Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content4,367,470 4,364,790 4,363,909 4,363,143 4,363,967 4,363,549 1973-2015 Alaska 14,197 14,197Cubic Feet)Proved Reserves

  20. West Virginia Crude Oil + Lease Condensate Proved Reserves (Million

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content4,367,470 4,364,790 4,363,909 4,363,143 4,363,967 4,363,549 1973-2015 Alaska 14,197 14,197Cubic Feet)Proved ReservesBarrels)

  1. Wyoming Coalbed Methane Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1(MillionExtensionsThousand Cubic%perYear Jan FebOECD/IEA -Proved

  2. Wyoming Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1(MillionExtensionsThousand Cubic%perYear Jan FebOECD/IEA -Proved+

  3. North Dakota Natural Gas Plant Liquids, Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto ChinaThousandDecade Year-0 Year-1 (Million Cubic Feet)Proved Reserves

  4. Louisiana - North Crude Oil + Lease Condensate Proved Reserves (Million

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan Next MECS will beProvedShaleBarrels) Crude

  5. Louisiana - South Onshore Crude Oil + Lease Condensate Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan Next MECS willProved Reserves (Billion(Million

  6. Louisiana - South Onshore Natural Gas, Wet After Lease Separation Proved

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan Next MECS willProved ReservesReserves (Billion

  7. Louisiana Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan Next MECS willProved

  8. Louisiana--North Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan Next(Million Barrels) ExpectedShaleProved

  9. Louisiana--South Onshore Coalbed Methane Proved Reserves (Billion Cubic

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan Next(Million Barrels)Feet) Proved

  10. Louisiana--South Onshore Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan Next(MillionProduction (MillionShaleProved

  11. Louisiana--State Offshore Coalbed Methane Proved Reserves (Billion Cubic

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan Next(MillionProductionFeet) Proved

  12. Lower 48 States Crude Oil + Lease Condensate Proved Reserves (Million

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear JanProductionSeparation, Proved

  13. Lower 48 States Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYearUnderground Storage Volume (MillionShale Proved

  14. Pennsylvania Natural Gas Liquids Proved Reserves (Million Barrels)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial Consumers (NumberThousand Cubic Feet)17Withdrawals (MillionProved

  15. Using Social Media in Exercises

    SciTech Connect (OSTI)

    Donaldson, Jeff

    2014-04-28T23:59:59.000Z

    This presentation discusses the use of social media as a tool during the full-scale exercise Tremor-14 in Las Vegas, and examines Lessons Learned as a path forward in using social media to disseminate Emergency Public Information (EPI) on a regular basis.

  16. Evaluation of depleted uranium in the environment at Aberdeen Proving Grounds, Maryland and Yuma Proving Grounds, Arizona. Final report

    SciTech Connect (OSTI)

    Kennedy, P.L.; Clements, W.H.; Myers, O.B.; Bestgen, H.T.; Jenkins, D.G. [Colorado State Univ., Fort Collins, CO (United States). Dept. of Fishery and Wildlife Biology

    1995-01-01T23:59:59.000Z

    This report represents an evaluation of depleted uranium (DU) introduced into the environment at the Aberdeen Proving Grounds (APG), Maryland and Yuma Proving Grounds (YPG) Arizona. This was a cooperative project between the Environmental Sciences and Statistical Analyses Groups at LANL and with the Department of Fishery and Wildlife Biology at Colorado State University. The project represents a unique approach to assessing the environmental impact of DU in two dissimilar ecosystems. Ecological exposure models were created for each ecosystem and sensitivity/uncertainty analyses were conducted to identify exposure pathways which were most influential in the fate and transport of DU in the environment. Research included field sampling, field exposure experiment, and laboratory experiments. The first section addresses DU at the APG site. Chapter topics include bioenergetics-based food web model; field exposure experiments; bioconcentration by phytoplankton and the toxicity of U to zooplankton; physical processes governing the desorption of uranium from sediment to water; transfer of uranium from sediment to benthic invertebrates; spead of adsorpion by benthic invertebrates; uptake of uranium by fish. The final section of the report addresses DU at the YPG site. Chapters include the following information: Du transport processes and pathway model; field studies of performance of exposure model; uptake and elimination rates for kangaroo rates; chemical toxicity in kangaroo rat kidneys.

  17. Early Exercise Option Valuation 00000001111111

    E-Print Network [OSTI]

    Oosterlee, Cornelis W. "Kees"

    Early Exercise Option Valuation 0 0 1 1 00000001111111 s T 0 0s K Mm+1m t 0 With V (tM , S(tM)) = E. Computational Finance (Summerschool) Hitotsubashi University August 2009 2 / 51 #12;The CONV method (Carr-Madan extended) The main premise of the CONV method is that f (y|x) depends on x and y via f (y|x) = f (y - x

  18. ORISE: Chemical Stockpile Emergency Preparedness Program Exercise...

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

    Chemical Stockpile Emergency Preparedness Program Exercise Training and Analysis Tool Training Tool Improves Information Sharing Between CSEPP and its Response Partners In 2006,...

  19. DOE Emergency Exercise Feedback Form

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM |TRU Waste Cleanup at BettisEMERGENCY EXERCISE EVALUATION

  20. TEPP Exercises | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014,ZaleskiThis Decision considers anExercise Planning Resources One

  1. Factors that influence exercise participation amoung older adults

    E-Print Network [OSTI]

    Murphey, Kristina Kile

    2001-01-01T23:59:59.000Z

    The purpose of this study was to survey adults age 60 and older to measure their levels of exercise self-efficacy, attitudes toward exercise and health, and perceived exercise control beliefs. Participants also defined other intrapersonal factors...

  2. Impact of entrainment and impingement on fish populations in the Hudson River estuary. Volume III. An analysis of the validity of the utilities' stock-recruitment curve-fitting exercise and prior estimation of beta technique. Environmental Sciences Division publication No. 1792

    SciTech Connect (OSTI)

    Christensen, S. W.; Goodyear, C. P.; Kirk, B. L.

    1982-03-01T23:59:59.000Z

    This report addresses the validity of the utilities' use of the Ricker stock-recruitment model to extrapolate the combined entrainment-impingement losses of young fish to reductions in the equilibrium population size of adult fish. In our testimony, a methodology was developed and applied to address a single fundamental question: if the Ricker model really did apply to the Hudson River striped bass population, could the utilities' estimates, based on curve-fitting, of the parameter alpha (which controls the impact) be considered reliable. In addition, an analysis is included of the efficacy of an alternative means of estimating alpha, termed the technique of prior estimation of beta (used by the utilities in a report prepared for regulatory hearings on the Cornwall Pumped Storage Project). This validation methodology should also be useful in evaluating inferences drawn in the literature from fits of stock-recruitment models to data obtained from other fish stocks.

  3. acute physical exercise: Topics by E-print Network

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

    have been used as a means of evaluating exercise tolerance. Heart rate (HR) in horses at rest and during exercise can... on an equine treadmill was administered...

  4. aerobic physical exercise: Topics by E-print Network

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

    have been used as a means of evaluating exercise tolerance. Heart rate (HR) in horses at rest and during exercise can... on an equine treadmill was administered...

  5. EcoCAR Vehicles Get Put to the Test at General Motors' Proving...

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

    EcoCAR Vehicles Get Put to the Test at General Motors' Proving Ground EcoCAR Vehicles Get Put to the Test at General Motors' Proving Ground June 13, 2011 - 5:57pm Addthis Virginia...

  6. Sapphire Energy Out to Prove That Crud Can Take On Crude | Department...

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

    Sapphire Energy Out to Prove That Crud Can Take On Crude Sapphire Energy Out to Prove That Crud Can Take On Crude December 16, 2011 - 2:48pm Addthis An aerial view of Sapphire...

  7. Corrections to "Proving Safety Properties of the Steam Boiler Controller" Correction Sheet

    E-Print Network [OSTI]

    Lynch, Nancy

    Corrections to "Proving Safety Properties of the Steam Boiler Controller" 1 Correction Sheet After our paper "Proving Safety Properties of the Steam Boiler Controller" went already to print, Myla_steam_water_est(sr) = #12;Corrections to "Proving Safety Properties of the Steam Boiler Controller" 2 7. p.11, The initial

  8. Problems and Exercises "Nichtsequentielle Systeme und nebenlaufige

    E-Print Network [OSTI]

    Popeea, Corneliu - Chair for Foundations of Software Reliability and Theoretical Computer Science

    the following exercises. NuSMV can be obtained from http://nusmv.irst.itc.it 1. Write an SMV program (unfortunately, both forks cannot be picked up concurrently). Philosophers are very patient--they might hold

  9. Formal Analysis and Validation of Continuous-Time Markov Chain based System Level Power Management Strategies

    E-Print Network [OSTI]

    Oxford, University of

    Formal Analysis and Validation of Continuous-Time Markov Chain based System Level Power Management that competitive analysis based power management strategies can be automatically analyzed for proving competitive bounds and for validating power management strate- gies using the SMV model checker. In this paper, we

  10. Formal Analysis and Validation of ContinuousTime Markov Chain based System Level Power Management Strategies

    E-Print Network [OSTI]

    Oxford, University of

    Formal Analysis and Validation of Continuous­Time Markov Chain based System Level Power Management that competitive analysis based power management strategies can be automatically analyzed for proving competitive bounds and for validating power management strate­ gies using the SMV model checker. In this paper, we

  11. Bonus Point Exercise 3 Alessandro Abate

    E-Print Network [OSTI]

    Abate, Alessandro

    sc4026 Bonus Point Exercise 3 Alessandro Abate a.abate@tudelft.nl Solomon Zegeye s.k.zegeye@tudelft.nl Delft Center for Systems and Control, TU Delft October 1, 2009 ­ Ac.Yr. 2009/10, 1e Sem. Q1 ­ Bonus. Compute ^x1(t), for t . ­ Ac.Yr. 2009/10, 1e Sem. Q1 ­ Bonus Exercise Session 3 ­ sc4026 1 #12;

  12. Technology Validation Sig Gronich

    E-Print Network [OSTI]

    and validate integrated hydrogen and fuel cell technologies in a systems context under real operating in quantity that is powered by a wind turbine. · By 2008, validate hydrogen vehicles with greater than 250. . Distributed Generation TransportationBiomass Hydro Wind Solar Coal Nuclear Natural Gas Oil With

  13. Roadmap: Exercise Science Exercise Physiology Bachelor of Science [EH-BS-EXSI-EXPH

    E-Print Network [OSTI]

    Sheridan, Scott

    Roadmap: Exercise Science ­ Exercise Physiology ­ Bachelor of Science [EH-BS-EXSI-EXPH] College Updated: 23-Aug-13/LNHD This roadmap is a recommended semester-by-semester plan of study for this major Electives (3 credits must be upper division) 10 Consult major advisor on course selection #12;Roadmap

  14. Model Validation Status Review

    SciTech Connect (OSTI)

    E.L. Hardin

    2001-11-28T23:59:59.000Z

    The primary objective for the Model Validation Status Review was to perform a one-time evaluation of model validation associated with the analysis/model reports (AMRs) containing model input to total-system performance assessment (TSPA) for the Yucca Mountain site recommendation (SR). This review was performed in response to Corrective Action Request BSC-01-C-01 (Clark 2001, Krisha 2001) pursuant to Quality Assurance review findings of an adverse trend in model validation deficiency. The review findings in this report provide the following information which defines the extent of model validation deficiency and the corrective action needed: (1) AMRs that contain or support models are identified, and conversely, for each model the supporting documentation is identified. (2) The use for each model is determined based on whether the output is used directly for TSPA-SR, or for screening (exclusion) of features, events, and processes (FEPs), and the nature of the model output. (3) Two approaches are used to evaluate the extent to which the validation for each model is compliant with AP-3.10Q (Analyses and Models). The approaches differ in regard to whether model validation is achieved within individual AMRs as originally intended, or whether model validation could be readily achieved by incorporating information from other sources. (4) Recommendations are presented for changes to the AMRs, and additional model development activities or data collection, that will remedy model validation review findings, in support of licensing activities. The Model Validation Status Review emphasized those AMRs that support TSPA-SR (CRWMS M&O 2000bl and 2000bm). A series of workshops and teleconferences was held to discuss and integrate the review findings. The review encompassed 125 AMRs (Table 1) plus certain other supporting documents and data needed to assess model validity. The AMRs were grouped in 21 model areas representing the modeling of processes affecting the natural and engineered barriers, plus the TSPA model itself Description of the model areas is provided in Section 3, and the documents reviewed are described in Section 4. The responsible manager for the Model Validation Status Review was the Chief Science Officer (CSO) for Bechtel-SAIC Co. (BSC). The team lead was assigned by the CSO. A total of 32 technical specialists were engaged to evaluate model validation status in the 21 model areas. The technical specialists were generally independent of the work reviewed, meeting technical qualifications as discussed in Section 5.

  15. PV array simulator development and validation.

    SciTech Connect (OSTI)

    Kuszmaul, Scott S.; Gonzalez, Sigifredo; Lucca, Roberto (Ametek Programmable Power, San Diego, CA); Deuel, Don (Ametek Programmable Power, San Diego, CA)

    2010-06-01T23:59:59.000Z

    The ability to harvest all available energy from a photovoltaic (PV) array is essential if new system developments are to meet levelized cost of energy targets and achieve grid parity with conventional centralized utility power. Therefore, exercising maximum power point tracking (MPPT) algorithms, dynamic irradiance condition operation and startup and shutdown routines and evaluating inverter performance with various PV module fill-factor characteristics must be performed with a repeatable, reliable PV source. Sandia National Laboratories is collaborating with Ametek Programmable Power to develop and demonstrate a multi-port TerraSAS PV array simulator. The simulator will replicate challenging PV module profiles, enabling the evaluation of inverter performance through analyses of the parameters listed above. Energy harvest algorithms have traditionally implemented methods that successfully utilize available energy. However, the quantification of energy capture has always been difficult to conduct, specifically when characterizing the inverter performance under non-reproducible dynamic irradiance conditions. Theoretical models of the MPPT algorithms can simulate capture effectiveness, but full validation requires a DC source with representative field effects. The DC source being developed by Ametek and validated by Sandia is a fully integrated system that can simulate an IV curve from the Solar Advisor Model (SAM) module data base. The PV simulator allows the user to change the fill factor by programming the maximum power point voltage and current parameters and the open circuit voltage and short circuit current. The integrated PV simulator can incorporate captured irradiance and module temperature data files for playback, and scripted profiles can be generated to validate new emerging hardware embedded with existing and evolving MPPT algorithms. Since the simulator has multiple independent outputs, it also has the flexibility to evaluate an inverter with multiple MPPT DC inputs. The flexibility of the PV simulator enables the validation of the inverter's capability to handle vastly different array configurations.

  16. Validating Energy Measures

    E-Print Network [OSTI]

    Chari, S.; Thomas, D.

    Energy measurements play a very important role in a detailed energy analysis. The role is more important in industrial processes where wide variations of process conditions exist. Valid energy measurements make the decision making process easier...

  17. Accelerated Testing Validation

    E-Print Network [OSTI]

    Mukundan, Rangachary

    2013-01-01T23:59:59.000Z

    used in the HD6 MEA. Failure analysis of these MEAs has beenpotential hold test. The failure analysis from these stacksbe validated with the failure analysis from both the AST and

  18. Verification and validation benchmarks.

    SciTech Connect (OSTI)

    Oberkampf, William Louis; Trucano, Timothy Guy

    2007-02-01T23:59:59.000Z

    Verification and validation (V&V) are the primary means to assess the accuracy and reliability of computational simulations. V&V methods and procedures have fundamentally improved the credibility of simulations in several high-consequence fields, such as nuclear reactor safety, underground nuclear waste storage, and nuclear weapon safety. Although the terminology is not uniform across engineering disciplines, code verification deals with assessing the reliability of the software coding, and solution verification deals with assessing the numerical accuracy of the solution to a computational model. Validation addresses the physics modeling accuracy of a computational simulation by comparing the computational results with experimental data. Code verification benchmarks and validation benchmarks have been constructed for a number of years in every field of computational simulation. However, no comprehensive guidelines have been proposed for the construction and use of V&V benchmarks. For example, the field of nuclear reactor safety has not focused on code verification benchmarks, but it has placed great emphasis on developing validation benchmarks. Many of these validation benchmarks are closely related to the operations of actual reactors at near-safety-critical conditions, as opposed to being more fundamental-physics benchmarks. This paper presents recommendations for the effective design and use of code verification benchmarks based on manufactured solutions, classical analytical solutions, and highly accurate numerical solutions. In addition, this paper presents recommendations for the design and use of validation benchmarks, highlighting the careful design of building-block experiments, the estimation of experimental measurement uncertainty for both inputs and outputs to the code, validation metrics, and the role of model calibration in validation. It is argued that the understanding of predictive capability of a computational model is built on the level of achievement in V&V activities, how closely related the V&V benchmarks are to the actual application of interest, and the quantification of uncertainties related to the application of interest.

  19. Bridging knowing and proving in mathematics An essay from a didactical perspective

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Bridging knowing and proving in mathematics An essay from a didactical perspective Nicolas for a didactical gap 1.1 The didactical gap More often than not, the problem of teaching mathematical proof has and proving in mathematics An essay from a didactical perspective. In: Hanna G., Jahnke H. N., Pulte H. (eds

  20. Summary: U.S. Crude Oil, Natural Gas, and Natural Gas Liquids Proved Reserves

    E-Print Network [OSTI]

    Boyer, Elizabeth W.

    Summary: U.S. Crude Oil, Natural Gas, and Natural Gas Liquids Proved Reserves 2009 November 2010 U.S. Energy Information Administration Office of Oil, Gas, and Coal Supply Statistics U.S. Department or other Federal agencies. #12;#12;1 U.S. Crude Oil, Natural Gas, and Natural Gas Liquids Proved Reserves

  1. Proving Safety Properties of the Steam Boiler Controller G. Leeb, N. Lynch Page 1 of 20

    E-Print Network [OSTI]

    Lynch, Nancy

    Proving Safety Properties of the Steam Boiler Controller G. Leeb, N. Lynch Page 1 of 20 Proving Safety Properties of the Steam Boiler Controller Formal Methods for Industrial Applications: A Case Study problem is the Steam Boiler Controller problem discussed in this paper. Another representative

  2. Corrections to "Proving Safety Properties of the Steam Boiler Controller" Correction Sheet

    E-Print Network [OSTI]

    Lynch, Nancy

    Corrections to "Proving Safety Properties of the Steam Boiler Controller" 1 Correction Sheet After our paper "Proving Safety Properties of the Steam Boiler Controller" went already to print, Myla of the Steam Boiler Controller" 2 9. p.15, In the activate action error should be error' 10.p.16, Lemma 3

  3. Proving Safety Properties of the Steam Boiler Controller G. Leeb, N. Lynch Page 1 of 37

    E-Print Network [OSTI]

    Lynch, Nancy

    Proving Safety Properties of the Steam Boiler Controller G. Leeb, N. Lynch Page 1 of 37 Proving Safety Properties of the Steam Boiler Controller Formal Methods for Industrial Applications: A Case Study problem is the Steam Boiler Controller problem discussed in this paper. Another representative

  4. mu-term: A Tool for Proving Termination of Context-Sensitive Rewriting

    E-Print Network [OSTI]

    Lucas, Salvador

    mu-term: A Tool for Proving Termination of Context-Sensitive Rewriting Salvador Lucas DSIC@dsic.upv.es Abstract. Restrictions of rewriting can eventually achieve termination by pruning all infinite rewrite. This paper describes mu-term, a tool which can be used to automatically prove termination of CSR. The tool

  5. mu-term: A Tool for Proving Termination of Context-Sensitive Rewriting ?

    E-Print Network [OSTI]

    Lucas, Salvador

    mu-term: A Tool for Proving Termination of Context-Sensitive Rewriting ? Salvador Lucas DSIC@dsic.upv.es Abstract. Restrictions of rewriting can eventually achieve termination by pruning all in#12;nite rewrite. This paper describes mu-term, a tool which can be used to automatically prove termination of CSR. The tool

  6. Secret Objective Standoff: International Safeguards Educational Exercise

    SciTech Connect (OSTI)

    Okowita, Samantha L [ORNL

    2014-01-01T23:59:59.000Z

    The International Safeguards Regime, being so multi-faceted, can be overwhelming to those first introduced to its many components. The organizers and lecturers of workshops and courses on nonproliferation often provide a series of independent lectures and must somehow demonstrate the cohesive and effective nature of the system. An exercise titled The Secret Objective Standoff was developed to complement lectures with hands-on learning to assist participants in bringing all the many components (IAEA agreements, export controls, treaty obligations, international diplomacy, etc.) of the International Safeguards Regime together. This exercise divides participants into teams that are assigned the role of either a country or the IAEA and asks that they fully immerse themselves in their roles. The teams are then randomly assigned three unique and secret objectives that are intended to represent realistic and current geopolitical scenarios. Through construction, trading, or hoarding of four resources (experts, technology, money, and uranium), the teams have a finite number of turns to accomplish their objectives. Each turn has three phases random dispersal of resources, a timed discussion where teams can coordinate and strategize with others, and an action phase. During the action phase, teams inform the moderator individually and secretly what they will be doing that turn. The exercise has been tested twice with Oak Ridge National Laboratory personnel, and has been conducted with outside participants twice, in each case the experience was well received by both participants and instructors. This exercise provides instructors the ability to modify the exercise before or during game play to best fit their educational goals. By offering a range of experiences, from an in-depth look at specific components to a generalized overview, this exercise is an effective tool in helping participants achieve a full understanding the International Safeguards Regime.

  7. RELAP5-3D Results for Phase I (Exercise 2) of the OECD/NEA MHTGR-350 MW Benchmark

    SciTech Connect (OSTI)

    Gerhard Strydom

    2012-06-01T23:59:59.000Z

    The coupling of the PHISICS code suite to the thermal hydraulics system code RELAP5-3D has recently been initiated at the Idaho National Laboratory (INL) to provide a fully coupled prismatic Very High Temperature Reactor (VHTR) system modeling capability as part of the NGNP methods development program. The PHISICS code consists of three modules: INSTANT (performing 3D nodal transport core calculations), MRTAU (depletion and decay heat generation) and a perturbation/mixer module. As part of the verification and validation activities, steady state results have been obtained for Exercise 2 of Phase I of the newly-defined OECD/NEA MHTGR-350 MW Benchmark. This exercise requires participants to calculate a steady-state solution for an End of Equilibrium Cycle 350 MW Modular High Temperature Reactor (MHTGR), using the provided geometry, material, and coolant bypass flow description. The paper provides an overview of the MHTGR Benchmark and presents typical steady state results (e.g. solid and gas temperatures, thermal conductivities) for Phase I Exercise 2. Preliminary results are also provided for the early test phase of Exercise 3 using a two-group cross-section library and the Relap5-3D model developed for Exercise 2.

  8. ANU STAFF WELLBEING 2012 QI-GONG STRETCHING EXERCISE

    E-Print Network [OSTI]

    Botea, Adi

    1 ANU STAFF WELLBEING 2012 QI-GONG STRETCHING EXERCISE COURSES The ANU Staff Wellbeing Program sponsors stretching exercises for ANU staff. Qi- gong is a Chinese stretching exercise similar to Tai Chi. Qi-gong has been practiced in China for nearly 30 years. It originated from Tai Chi and Chinese

  9. SchoolFEFLOW Exercise Heat extraction

    E-Print Network [OSTI]

    Kornhuber, Ralf

    the flux: q = 0.15 m/d Pumping (heat extraction) from aquifer and re-injection (of cooled water-injected water: 20°C · T = 20°C Model Extension #12;Summer SchoolHeat extraction from sloped aquifer 22Summer SchoolFEFLOW® Exercise Heat extraction from a sloped sandstone aquifer Vertical cross

  10. PLANNER: A Language for Manipulating Models and Proving Theorems in a Robot

    E-Print Network [OSTI]

    Hewitt, Carl

    1970-08-01T23:59:59.000Z

    PLANNER is a language for proving theorems and manipulating models in a robot. The language is built out of a number of problem-solving primitives together with a hierarchical control structure. Statements can be asserted ...

  11. Interactive Theorem Proving, 1315 August, 2012 MetiTarski: Past and Future

    E-Print Network [OSTI]

    Paulson, Lawrence C.

    special functions #12; High complexity does not imply uselessness--as with the boolean satisfiability (SAT and resolution theorem proving are the core technologies. ... and first-order formulae involving +, -, × and (on

  12. CIPS Validation Data Plan

    SciTech Connect (OSTI)

    Nam Dinh

    2012-03-01T23:59:59.000Z

    This report documents analysis, findings and recommendations resulted from a task 'CIPS Validation Data Plan (VDP)' formulated as an POR4 activity in the CASL VUQ Focus Area (FA), to develop a Validation Data Plan (VDP) for Crud-Induced Power Shift (CIPS) challenge problem, and provide guidance for the CIPS VDP implementation. The main reason and motivation for this task to be carried at this time in the VUQ FA is to bring together (i) knowledge of modern view and capability in VUQ, (ii) knowledge of physical processes that govern the CIPS, and (iii) knowledge of codes, models, and data available, used, potentially accessible, and/or being developed in CASL for CIPS prediction, to devise a practical VDP that effectively supports the CASL's mission in CIPS applications.

  13. Relap5-3d model validation and benchmark exercises for advanced gas cooled reactor application 

    E-Print Network [OSTI]

    Moore, Eugene James Thomas

    2006-08-16T23:59:59.000Z

    abilities of system analysis codes, used to develop an understanding of light water reactor phenomenology, need to be proven for HTGRs. RELAP5-3D v2.3.6 is used to generate two reactor plant models for a code-to-code and a code-to-experiment benchmark...

  14. Benchmarking Exercises To Validate The Updated ELLWF GoldSim Slit Trench Model

    SciTech Connect (OSTI)

    Taylor, G. A.; Hiergesell, R. A.

    2013-11-12T23:59:59.000Z

    The Savannah River National Laboratory (SRNL) results of the 2008 Performance Assessment (PA) (WSRC, 2008) sensitivity/uncertainty analyses conducted for the trenches located in the EArea LowLevel Waste Facility (ELLWF) were subject to review by the United States Department of Energy (U.S. DOE) Low-Level Waste Disposal Facility Federal Review Group (LFRG) (LFRG, 2008). LFRG comments were generally approving of the use of probabilistic modeling in GoldSim to support the quantitative sensitivity analysis. A recommendation was made, however, that the probabilistic models be revised and updated to bolster their defensibility. SRS committed to addressing those comments and, in response, contracted with Neptune and Company to rewrite the three GoldSim models. The initial portion of this work, development of Slit Trench (ST), Engineered Trench (ET) and Components-in-Grout (CIG) trench GoldSim models, has been completed. The work described in this report utilizes these revised models to test and evaluate the results against the 2008 PORFLOW model results. This was accomplished by first performing a rigorous code-to-code comparison of the PORFLOW and GoldSim codes and then performing a deterministic comparison of the two-dimensional (2D) unsaturated zone and three-dimensional (3D) saturated zone PORFLOW Slit Trench models against results from the one-dimensional (1D) GoldSim Slit Trench model. The results of the code-to-code comparison indicate that when the mechanisms of radioactive decay, partitioning of contaminants between solid and fluid, implementation of specific boundary conditions and the imposition of solubility controls were all tested using identical flow fields, that GoldSim and PORFLOW produce nearly identical results. It is also noted that GoldSim has an advantage over PORFLOW in that it simulates all radionuclides simultaneously - thus avoiding a potential problem as demonstrated in the Case Study (see Section 2.6). Hence, it was concluded that the follow-on work using GoldSim to develop 1D equivalent models of the PORFLOW multi-dimensional models was justified. The comparison of GoldSim 1D equivalent models to PORFLOW multi-dimensional models was made at two locations in the model domains - at the unsaturated-saturated zone interface and at the 100m point of compliance. PORFLOW model results from the 2008 PA were utilized to investigate the comparison. By making iterative adjustments to certain water flux terms in the GoldSim models it was possible to produce contaminant mass fluxes and water concentrations that were highly similar to the PORFLOW model results at the two locations where comparisons were made. Based on the ability of the GoldSim 1D trench models to produce mass flux and concentration curves that are sufficiently similar to multi-dimensional PORFLOW models for all of the evaluated radionuclides and their progeny, it is concluded that the use of the GoldSim 1D equivalent Slit and Engineered trenches models for further probabilistic sensitivity and uncertainty analysis of ELLWF trench units is justified. A revision to the original report was undertaken to correct mislabeling on the y-axes of the compliance point concentration graphs, to modify the terminology used to define the ''blended'' source term Case for the saturated zone to make it consistent with terminology used in the 2008 PA, and to make a more definitive statement regarding the justification of the use of the GoldSim 1D equivalent trench models for follow-on probabilistic sensitivity and uncertainty analysis.

  15. Relap5-3d model validation and benchmark exercises for advanced gas cooled reactor application

    E-Print Network [OSTI]

    Moore, Eugene James Thomas

    2006-08-16T23:59:59.000Z

    to material selection and reactor safety. Understanding heat transfer and fluid flow phenomena during normal and transient operation of HTGRs is essential to ensure the adequacy of safety features, such as the reactor cavity cooling system (RCCS). Modeling...

  16. New Mexico--East Natural Gas Liquids Lease Condensate, Proved Reserves

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

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

  17. ,"Pennsylvania Shale Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+ Lease Condensate ProvedGas, Wet After LeaseShale Proved

  18. Texas--RRC District 8 Shale Proved Reserves (Billion Cubic Feet)

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

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

  19. Texas--RRC District 8A Shale Proved Reserves (Billion Cubic Feet)

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

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

  20. Texas--RRC District 9 Natural Gas Liquids Lease Condensate, Proved Reserves

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

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

  1. Texas--RRC District 9 Shale Proved Reserves (Billion Cubic Feet)

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

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

  2. Texas--State Offshore Coalbed Methane Proved Reserves (Billion Cubic Feet)

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

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

  3. Texas--RRC District 5 Coalbed Methane Proved Reserves (Billion Cubic Feet)

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

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

  4. Texas--RRC District 8A Coalbed Methane Proved Reserves (Billion Cubic Feet)

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

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

  5. Texas--RRC District 9 Coalbed Methane Proved Reserves (Billion Cubic Feet)

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

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

  6. Model Verification and Validation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1 SECTION A.Model Verification and Validation Engineering

  7. Proving Correctness of the Basic TESLA Multicast Stream Authentication Protocol with TAME

    E-Print Network [OSTI]

    Proving Correctness of the Basic TESLA Multicast Stream Authentication Protocol with TAME Presented, Washington, DC 20375 E-mail: archer@itd.nrl.navy.mil The TESLA multicast stream authentication protocol just been revealed. While an informal argument for the correctness of TESLA has been published

  8. Postdoc position: Hybrid Systems Theorem Proving Carnegie Mellon University, Computer Science Department

    E-Print Network [OSTI]

    Sandholm, Tuomas W.

    Postdoc position: Hybrid Systems Theorem Proving Carnegie Mellon University, Computer Science is to develop next-generation verification techniques for cyber- physical systems and hybrid systems. Our prover KeYmaera and have found application in the verification of cars, aircraft, railway systems

  9. CSC310 Information Theory Sam Roweis Proving the Kraft-McMillan Inequalities

    E-Print Network [OSTI]

    Roweis, Sam

    CSC310 ­ Information Theory Sam Roweis Lecture 3: Proving the Kraft-McMillan Inequalities September) Modeling. We have to represent the stochastic behaviour of the source and the channel using probabilistic. Review: Mathematical Setup 3 · A stochastic source emits a sequence of symbols (from alphabet A) X = X1

  10. Proving the Absence of RunTime Errors in SafetyCritical Avionics Code

    E-Print Network [OSTI]

    Cousot, Patrick

    , time­triggered, real­time, safety critical, embedded software as found in earth transportation, nuclearProving the Absence of Run­Time Errors in Safety­Critical Avionics Code Patrick Cousot École is not acceptable in safety and mission crit­ ical applications. An avenue is therefore opened for formal methods

  11. Semantic contamination and mathematical proof: Can a non-proof prove? 1

    E-Print Network [OSTI]

    Inglis, Matthew

    Semantic contamination and mathematical proof: Can a non-proof prove? 1 Juan Pablo Mej contamination effect plays a role in determining how students engage with mathematical proof, a fundamental, reasoning, semantic contamination Argumentation and proof are widely accepted as being central

  12. The Complexity of Proving Chaoticity and the Church-Turing Thesis

    E-Print Network [OSTI]

    Cristian S. Calude; Elena Calude; Karl Svozil

    2010-08-21T23:59:59.000Z

    Proving the chaoticity of some dynamical systems is equivalent to solving the hardest problems in mathematics. Conversely, one argues that it is not unconceivable that classical physical systems may "compute the hard or even the incomputable" by measuring observables which correspond to computationally hard or even incomputable problems.

  13. Discrimination in employment can be hard to prove at times and is always discouraging to

    E-Print Network [OSTI]

    Hickman, Mark

    40 Discrimination in employment can be hard to prove at times and is always discouraging to the job market and there seems no way to deal effectively with that. Careers, Internships & Employment encourages job seekers to familiarise themselves with the Pre-Employment Guidelines of the Human Rights Act

  14. TEA: Automatically proving termination of programs in a nonstrict higherorder functional

    E-Print Network [OSTI]

    Schmidt-Schauss, Manfred

    TEA: Automatically proving termination of programs in a non­strict higher­order functional language termination of functions written in a non­strict high­level functional programming language like Haskell kinds of termination: nf­termination and lazy termination. Intuitively, nf­termination of f means

  15. Carbon Capture, Transport and Storage Regulatory Test Exercise...

    Open Energy Info (EERE)

    Carbon Capture, Transport and Storage Regulatory Test Exercise: Output Report Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Carbon Capture, Transport and Storage...

  16. DOE Exercises 5 Year Option on Washington TRU Solutions Contract...

    Energy Savers [EERE]

    and operating the Department's Waste Isolation Pilot Plant (WIPP), located in New Mexico. The option DOE exercised is a part of the WIPP contract that was competitively...

  17. Inhibition of phosphodiesterase type 5 and exercise in arterial hypertension 

    E-Print Network [OSTI]

    Attinŕ, Teresa M.

    2010-01-01T23:59:59.000Z

    Hypertensive patients exhibit impaired exercise capacity, a strong independent risk factor for cardiovascular disease, and the mechanisms responsible for this are not fully determined. Potential candidates may include ...

  18. The 1987 Federal field exercise: The DOE experience

    SciTech Connect (OSTI)

    Adler, M.V.; Gant, K.S.

    1989-06-01T23:59:59.000Z

    The second full-scale field exercise of the Federal Radiological Emergency Response Plan (FRERP) was held at the Zion Nuclear Power Station, Zion, Illinois, in June 1987. The exercise incorporated the annual compliance exercise for the Zion plant and involved the operating utility, Commonwealth Edison Company, the states of Illinois and Wisconsin, local governments, volunteer groups, and representatives from 12 federal agencies. The 3-day exercise was played from many locations in the Zion area; Springfield, Illinois; Madison, Wisconsin; and Washington, DC. Approximately 1000 people participated in the exercise, which used a scenario in which an accident at the plant resulted in the release of radioactive material outside the plant boundary. The US Department of Energy (DOE) had major responsibilities during the planning, playing, and critiquing of the exercise; these functions are outlined in the report. This document describes the DOE participation in the planning and response during the exercise. During a radiological emergency, the FRERP gives DOE the responsibility for coordinating the federal radiological monitoring and assessment activities in support of the states and the cognizant federal agency. At Zion, a self-sufficient Federal Radiological Monitoring and Assessment Center was established by DOE at a nearby fairground in which over 200 people from DOE, the two states, and other federal agencies participated. Before the field exercise, a tabletop exercise and a dry run were held for training purposes. 5 refs., 6 figs.

  19. Exercise protocols during short-radius centrifugation for artificial gravity

    E-Print Network [OSTI]

    Edmonds, Jessica Leigh

    2008-01-01T23:59:59.000Z

    Long-duration spaceflight results in severe physiological deconditioning, threatening the success of interplanetary travel. Exercise combined with artificial gravity provided by centrifugation may be the comprehensive ...

  20. Transportation Emergency Preparedness Program Exercise Overview |

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2Uranium Transferon theTed DonatEnergyDepartment of Energy Exercise

  1. Initial building investigations at Aberdeen Proving Ground, Maryland: Building E5190

    SciTech Connect (OSTI)

    Brubaker, K.L.; Dougherty, J.M.; Tome, C.

    1993-10-01T23:59:59.000Z

    As part of a building decommissioning and demolition program at Aberdeen Proving Ground, a detailed inspection of each target building is conducted in order to characterize and describe the state of the building as it currently exists and to identify areas potentially contaminated with toxic or other hazardous substances. Room surfaces, drains and sumps, remaining equipment, and such associated exterior aboveground and underground appurtenances as tanks and pipelines are among the features, generically termed compartments, that may be potentially contaminated. Detailed drawings are prepared to illustrate the existing structure of each building. This report presents the results of the inspection of building E5190 in the Edgewood/Canal Creek area of Aberdeen Proving Ground. This building houses a 10,000-gal tank formerly used to store xylene. Eleven potentially contaminated compartments were identified in this building and its vicinity.

  2. Remedial investigation report for J-Field, Aberdeen Proving Ground, Maryland. Volume 3: Ecological risk assessment

    SciTech Connect (OSTI)

    Hlohowskyj, I.; Hayse, J.; Kuperman, R.; Van Lonkhuyzen, R.

    2000-02-25T23:59:59.000Z

    The Environmental Management Division of the U.S. Army Aberdeen Proving Ground (APG), Maryland, is conducting a remedial investigation (RI) and feasibility study (FS) of the J-Field area at APG, pursuant to the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA), as amended. As part of that activity, Argonne National Laboratory (ANL) conducted an ecological risk assessment (ERA) of the J-Field site. This report presents the results of that assessment.

  3. GSA's Green Proving Ground: Identifying, Testing and Evaluating Innovative Technologies (Presentation)

    SciTech Connect (OSTI)

    Kandt, A.; Lowell, M.

    2012-05-01T23:59:59.000Z

    GSA's Green Proving Ground (GPG) program utilizes GSA's real estate portfolio to test and evaluate innovative and underutilized sustainable building technologies and practices. Findings are used to support the development of GSA performance specifications and inform decision making within GSA, other federal agencies, and the real estate industry. The program aims to drive innovation in environmental performance in federal buildings and help lead market transformation through deployment of new technologies.

  4. ,"Ohio Coalbed Methane Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids, ExpectedLNGCoalbed Methane Proved Reserves (Billion Cubic

  5. ,"Ohio Crude Oil + Lease Condensate Proved Reserves (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids, ExpectedLNGCoalbed Methane Proved Reserves (Billion

  6. ,"Ohio Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids, ExpectedLNGCoalbed Methane Proved ReservesLiquids Lease

  7. ,"Pennsylvania Crude Oil + Lease Condensate Proved Reserves (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+ Lease Condensate Proved Reserves (Million Barrels)"

  8. ,"Pennsylvania Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+ Lease Condensate Proved Reserves (MillionPriceLiquids

  9. ,"Pennsylvania Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+ Lease Condensate ProvedGas, Wet After Lease Separation

  10. ,"U.S. Lease Condensate Proved Reserves, Reserve Changes, and Production"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+ LeasePriceExpected FutureLease Condensate Proved

  11. ,"U.S. Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+Liquids Lease Condensate, Proved Reserves (Million

  12. ,"Wyoming Shale Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesRefinery, Bulk Terminal, andPriceNet WithdrawalsShale Proved Reserves

  13. ,"Arkansas Shale Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;Net WithdrawalsWellhead PricePriceShale Proved Reserves

  14. ,"Calif--San Joaquin Basin onsh Shale Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;Net WithdrawalsWellhead PricePriceShaleonsh Shale Proved

  15. ,"Colorado Coalbed Methane Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;Net WithdrawalsWellheadNaturalDryCoalbed Methane Proved

  16. ,"Colorado Crude Oil + Lease Condensate Proved Reserves (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;Net WithdrawalsWellheadNaturalDryCoalbed Methane Proved+

  17. ,"Florida Crude Oil + Lease Condensate Proved Reserves (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;NetPrice (Dollars per+ Lease Condensate Proved Reserves

  18. ,"Florida Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;NetPrice (Dollars per+ Lease Condensate ProvedLiquids Lease

  19. ,"Kentucky Coalbed Methane Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;NetPrice (DollarsVolumeCoalbed Methane Proved Reserves

  20. ,"Kentucky Crude Oil + Lease Condensate Proved Reserves (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;NetPrice (DollarsVolumeCoalbed Methane Proved Reserves+ Lease

  1. ,"Kentucky Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;NetPrice (DollarsVolumeCoalbed Methane Proved

  2. ,"Louisiana--State Offshore Coalbed Methane Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;NetPriceNonassociated Natural Gas,Coalbed Methane Proved

  3. ,"Lower 48 States Coalbed Methane Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;NetPriceNonassociated NaturalCoalbed Methane Proved Reserves

  4. ,"Lower 48 States Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;NetPriceNonassociated NaturalCoalbed Methane ProvedLiquids

  5. ,"Michigan Shale Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;NetPriceNonassociatedSummary"Shale Proved Reserves

  6. ,"Miscellaneous States Coalbed Methane Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;NetPriceNonassociatedSummary"ShaleCoalbed Methane Proved

  7. Respiratory and Cardiovascular Adjustments to Exercise in Reptiles

    E-Print Network [OSTI]

    Bennett, Albert F.

    challenges to the respiratory system of reptiles. Incrementing aerobic metabolism above resting levelsRespiratory and Cardiovascular Adjustments to Exercise in Reptiles T.T. GLEESON ' and A.F. BEN NETT all levels of activity (Fig. lb). The mechanism for an- aerobic energy production during exercise

  8. RESPONSE ROBOTS DHS/NIST Sponsored Evaluation Exercises

    E-Print Network [OSTI]

    RESPONSE ROBOTS DHS/NIST Sponsored Evaluation Exercises RESPONSE ROBOTS DHS/NIST Sponsored Evaluation Exercises 11 Pocket Guide Version 2010.2 Pocket Guide Version 2010.2 #12;22 Certain commercial address responder-defined requirements for robot mobility, manipulation, sensors, energy, communications

  9. The effects of caffeine, nicotine, ethanol, and tetrahydrocannabinol on exercise performance

    E-Print Network [OSTI]

    Pesta, Dominik H; Angadi, Siddhartha S; Burtscher, Martin; Roberts, Christian K

    2013-01-01T23:59:59.000Z

    Alvarez AI: Effect of chronic ethanol ingestion and exerciseR, Urbano-Marquez A: Acute ethanol treatment decreasesA: Comparative effects of ethanol, acetaldehyde and acetate

  10. Analysis of the Argonne distance tabletop exercise method.

    SciTech Connect (OSTI)

    Tanzman, E. A.; Nieves, L. A.; Decision and Information Sciences

    2008-02-14T23:59:59.000Z

    The purpose of this report is to summarize and evaluate the Argonne Distance Tabletop Exercise (DISTEX) method. DISTEX is intended to facilitate multi-organization, multi-objective tabletop emergency response exercises that permit players to participate from their own facility's incident command center. This report is based on experience during its first use during the FluNami 2007 exercise, which took place from September 19-October 17, 2007. FluNami 2007 exercised the response of local public health officials and hospitals to a hypothetical pandemic flu outbreak. The underlying purpose of the DISTEX method is to make tabletop exercising more effective and more convenient for playing organizations. It combines elements of traditional tabletop exercising, such as scenario discussions and scenario injects, with distance learning technologies. This distance-learning approach also allows playing organizations to include a broader range of staff in the exercise. An average of 81.25 persons participated in each weekly webcast session from all playing organizations combined. The DISTEX method required development of several components. The exercise objectives were based on the U.S. Department of Homeland Security's Target Capabilities List. The ten playing organizations included four public health departments and six hospitals in the Chicago area. An extent-of-play agreement identified the objectives applicable to each organization. A scenario was developed to drive the exercise over its five-week life. Weekly problem-solving task sets were designed to address objectives that could not be addressed fully during webcast sessions, as well as to involve additional playing organization staff. Injects were developed to drive play between webcast sessions, and, in some cases, featured mock media stories based in part on player actions as identified from the problem-solving tasks. The weekly 90-minute webcast sessions were discussions among the playing organizations that were moderated by a highly-qualified public health physician, who reviewed key scenario developments and player actions, as well as solicited input from each playing organization. The exercise control structure included trusted agents who oversaw exercise planning, playing organization points of contact to ensure exercise coordination, and exercise controller/evaluators to initiate and oversee exercise play. A password-protected exercise website was designed for FluNami 2007 to serve as a compartmentalized central information source, and for transmitting exercise documents. During the course of FluNami 2007, feedback on its quality was collected from players and controller/evaluators. Player feedback was requested at the conclusion of each webcast, upon completion of each problem-solving task, and on October 17, 2007, after the final webcast session had ended. The overall average score given to FluNami 2008 by the responding players was 3.9 on a five-point scale. In addition, suggestions for improving the process were provided by Argonne controller/evaluators after the exercise concluded. A series of recommendations was developed based on feedback from the players and controller/evaluators. These included improvements to the exercise scope and objectives, the problem-solving tasks, the scenarios, exercise control, the webcast sessions, the exercise website, and the player feedback process.

  11. Validation and Comparison of One-Dimensional Graound Motion Methodologies

    SciTech Connect (OSTI)

    B. Darragh; W. Silva; N. Gregor

    2006-06-28T23:59:59.000Z

    Both point- and finite-source stochastic one-dimensional ground motion models, coupled to vertically propagating equivalent-linear shear-wave site response models are validated using an extensive set of strong motion data as part of the Yucca Mountain Project. The validation and comparison exercises are presented entirely in terms of 5% damped pseudo absolute response spectra. The study consists of a quantitative analyses involving modeling nineteen well-recorded earthquakes, M 5.6 to 7.4 at over 600 sites. The sites range in distance from about 1 to about 200 km in the western US (460 km for central-eastern US). In general, this validation demonstrates that the stochastic point- and finite-source models produce accurate predictions of strong ground motions over the range of 0 to 100 km and for magnitudes M 5.0 to 7.4. The stochastic finite-source model appears to be broadband, producing near zero bias from about 0.3 Hz (low frequency limit of the analyses) to the high frequency limit of the data (100 and 25 Hz for response and Fourier amplitude spectra, respectively).

  12. Software Verification and Validation Procedure

    SciTech Connect (OSTI)

    Olund, Thomas S.

    2008-09-15T23:59:59.000Z

    This Software Verification and Validation procedure provides the action steps for the Tank Waste Information Network System (TWINS) testing process. The primary objective of the testing process is to provide assurance that the software functions as intended, and meets the requirements specified by the client. Verification and validation establish the primary basis for TWINS software product acceptance.

  13. New Mexico - East Natural Gas, Wet After Lease Separation Proved Reserves

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

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

  14. New Mexico - West Natural Gas, Wet After Lease Separation Proved Reserves

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

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

  15. New Mexico Natural Gas, Wet After Lease Separation Proved Reserves (Billion

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

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

  16. New Mexico--East Coalbed Methane Proved Reserves (Billion Cubic Feet)

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

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

  17. New Mexico--West Coalbed Methane Proved Reserves (Billion Cubic Feet)

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

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

  18. New Mexico--West Natural Gas Liquids Lease Condensate, Proved Reserves

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

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

  19. New York Natural Gas, Wet After Lease Separation Proved Reserves (Billion

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65 1967-2010

  20. Ohio Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65per9 0 1 2 3 4PDFReserves

  1. Ohio Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65per9 0 1

  2. ,"Ohio Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids, ExpectedLNGCoalbed Methane ProvedNetGas, Wet After Lease

  3. ,"Ohio Shale Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids, ExpectedLNGCoalbed Methane ProvedNetGas, Wet AfterShale

  4. ,"Oklahoma Coalbed Methane Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids, ExpectedLNGCoalbed Methane ProvedNetGas, WetCoalbed

  5. ,"Oklahoma Crude Oil + Lease Condensate Proved Reserves (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids, ExpectedLNGCoalbed Methane ProvedNetGas, WetCoalbed+

  6. ,"Oklahoma Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids, ExpectedLNGCoalbed Methane ProvedNetGas,Liquids Lease

  7. ,"Texas (with State Offshore) Shale Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+ LeasePrice Sold to ElectricLNGLiquids LeaseShale Proved

  8. ,"Texas--RRC District 1 Coalbed Methane Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+ LeasePrice Sold toDryDryDryCoalbed Methane Proved

  9. ,"Texas--RRC District 2 Onshore Coalbed Methane Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+ LeasePrice Sold toDryDryDryCoalbedCoalbed Methane Proved

  10. ,"U.S. Natural Gas Proved Reserves, Wet After Lease Separation"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+Liquids LeaseAnnual",2014Processing"Proved

  11. ,"Virginia Coalbed Methane Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesRefinery, Bulk Terminal, and Natural GasU.S.PlantandCoalbed Methane Proved

  12. ,"West Virginia Coalbed Methane Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesRefinery, Bulk Terminal, and NaturalWellhead PriceNetCoalbed Methane Proved

  13. ,"West Virginia Crude Oil + Lease Condensate Proved Reserves (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesRefinery, Bulk Terminal, and NaturalWellhead PriceNetCoalbed Methane Proved+

  14. ,"West Virginia Shale Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesRefinery, Bulk Terminal, andPrice (Dollars perPlantWellheadShale Proved

  15. Calif--Coastal Region Onshore Natural Gas Liquids Lease Condensate, Proved

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at CommercialDecade Year-0Proved ReservesBuildingsm 3 (D

  16. Calif--San Joaquin Basin onsh Shale Proved Reserves (Billion Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at CommercialDecade Year-0Proved

  17. Gulf of Mexico Federal Offshore - Texas Crude Oil + Lease Condensate Proved

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688Electricity UseFoot)Proved ReservesNatural Gas,

  18. Gulf of Mexico Federal Offshore Crude Oil Proved Reserves (Million Barrels)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688Electricity UseFoot)ProvedAfter LeaseMeters

  19. Gulf of Mexico Federal Offshore Crude Oil Proved Reserves from Greater than

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688Electricity UseFoot)ProvedAfter LeaseMeters200 Meters

  20. Gulf of Mexico Federal Offshore Crude Oil Proved Reserves from Less than

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688Electricity UseFoot)ProvedAfter LeaseMeters200

  1. Gulf of Mexico Federal Offshore Dry Natural Gas Proved Reserves from

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688Electricity UseFoot)ProvedAfterthan 200 Meters

  2. Gulf of Mexico Federal Offshore Dry Natural Gas Proved Reserves from Less

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688Electricity UseFoot)ProvedAfterthan 200 Metersthan 200

  3. Gulf of Mexico Federal Offshore Natural Gas Liquids Lease Condensate Proved

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688Electricity UseFoot)ProvedAfterthan 200Production

  4. Gulf of Mexico Federal Offshore Natural Gas Liquids Lease Condensate Proved

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688Electricity UseFoot)ProvedAfterthan

  5. Gulf of Mexico Federal Offshore Natural Gas Liquids Lease Condensate Proved

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688Electricity UseFoot)ProvedAfterthanReserves from Less

  6. Gulf of Mexico Federal Offshore Percentage of Crude Oil Proved Reserves

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688ElectricityLess than 200 Meters DeepProvedGreater than

  7. Gulf of Mexico Federal Offshore Percentage of Dry Natural Gas Proved

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688ElectricityLess than 200 Meters DeepProvedGreater

  8. Table 1. U.S. proved reserves, and reserves changes, 2012-13

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConference |6:Welcome toU.S. proved

  9. Table 1. U.S. proved reserves, and reserves changes, 2012-13

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConference |6:Welcome toU.S. provedU.S.

  10. Texas - RRC District 4 Onshore Crude Oil + Lease Condensate Proved Reserves

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

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

  11. Texas - RRC District 6 Natural Gas, Wet After Lease Separation Proved

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

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

  12. Texas - RRC District 8 Natural Gas, Wet After Lease Separation Proved

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

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

  13. Texas - RRC District 8A Crude Oil + Lease Condensate Proved Reserves

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

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

  14. Texas--RRC District 1 Coalbed Methane Proved Reserves (Billion Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota"Year JanExpected FutureReservesBarrels)Proved1

  15. Texas--RRC District 10 Shale Proved Reserves (Billion Cubic Feet)

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

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

  16. Texas--RRC District 2 Onshore Coalbed Methane Proved Reserves (Billion

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

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

  17. Texas--RRC District 2 Onshore Natural Gas Liquids Lease Condensate, Proved

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

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

  18. Texas--RRC District 2 onsh Shale Proved Reserves (Billion Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota"Year JanExpected(MillionShale ProvedReserves2 onsh

  19. Texas--RRC District 3 Onshore Coalbed Methane Proved Reserves (Billion

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota"Year JanExpected(MillionShale ProvedReserves2

  20. Texas--RRC District 7B Shale Proved Reserves (Billion Cubic Feet)

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

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

  1. Texas--RRC District 7C Shale Proved Reserves (Billion Cubic Feet)

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

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

  2. Texas--RRC District 8 Coalbed Methane Proved Reserves (Billion Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota"YearProductionShale Proved Reserves (Billion Cubic8

  3. Texas--RRC District 8 Natural Gas Liquids Lease Condensate, Proved Reserves

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

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

  4. Texas--RRC District 8A Natural Gas Liquids Lease Condensate, Proved

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

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

  5. Texas--State Offshore Natural Gas Liquids Lease Condensate, Proved Reserves

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

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

  6. Florida Associated-Dissolved Natural Gas Proved Reserves, Wet After Lease

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.Gas Proved

  7. DOE - Office of Legacy Management -- Naval Proving Ground - VA 0-01

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group currentBradleyTableSelling Corp - CT 0-01Naturita NaturitaMexicoProving

  8. ,"U.S. Total Crude Oil Proved Reserves, Reserves Changes, and Production"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventional Gasoline Sales toReformulated, Average Refiner Gasoline Prices"SalesSalesProved

  9. Summary: U.S. Crude Oil, Natural Gas, and Natural Gas Liquids Proved Reserves 2009

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal StocksProvedFeet)Thousand Cubic7.Cubic Foot)inState

  10. Texas--RRC District 7C Coalbed Methane Proved Reserves (Billion Cubic Feet)

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

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

  11. ,"California - San Joaquin Basin Onshore Coalbed Methane Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;Net WithdrawalsWellheadNatural Gas, WetCoalbed Methane Proved

  12. ,"Louisiana (with State Offshore) Shale Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;NetPrice (DollarsVolumeCoalbedUnited KingdomShale Proved

  13. ,"New Mexico Coalbed Methane Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids, Expected Future7,Dry Natural GasCoalbed Methane Proved

  14. ,"New Mexico Crude Oil + Lease Condensate Proved Reserves (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids, Expected Future7,Dry Natural GasCoalbed Methane Proved+

  15. ,"New Mexico--West Coalbed Methane Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids, Expected Future7,DryPlantCoalbed Methane Proved Reserves

  16. ,"New Mexico--West Shale Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids, Expected Future7,DryPlantCoalbed MethaneShale Proved

  17. ,"North Dakota Coalbed Methane Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids, ExpectedLNG Storage NetPriceCoalbed Methane Proved

  18. ,"North Dakota Crude Oil + Lease Condensate Proved Reserves (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids, ExpectedLNG Storage NetPriceCoalbed Methane Proved+ Lease

  19. U.S. Natural Gas Plant Liquids, Proved Reserves (Million Barrels)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion Cubic Feet)Year Jan Feb Mar Apr May Jun2009 2010(MillionProved

  20. Ris Energy Report 5 Wind 2 In the past 20 years wind energy has proved itself as a

    E-Print Network [OSTI]

    Risř Energy Report 5 Wind 2 6.1 Status In the past 20 years wind energy has proved itself all these achievements, wind energy remains on the fringes of power generation. For people working ignorance and emo- tional opposition. Wind energy is far from having been proved to lay people, large

  1. Harmonic Functions are Real Analytic1 On this very short note we prove that harmonic functions are real analytic functions.

    E-Print Network [OSTI]

    Cabral, Marco

    Harmonic Functions are Real Analytic1 On this very short note we prove that harmonic functions prove Lemma 1 using the mean value property of harmonic functions, Green's theorem and the maximum principle. Lemma 1 (estimate on first derivative) Suppose w is harmonic in Rn , > 0, y and B

  2. XML Document XML Document Types and Validation

    E-Print Network [OSTI]

    Weber, Gregory D.

    XML Document Types and Validation IIM-I340 Objectives XML Document Types and Validation IIM-I340 April, 2010 #12;XML Document Types and Validation IIM-I340 Objectives Learning Objectives Understand: The need for validation Two ways to specify validity: Document Type Definitions (DTDs) XML Schemas #12;XML

  3. Remediation application strategies for depleted uranium contaminated soils at the US Army Yuma Proving Ground

    SciTech Connect (OSTI)

    Vandel, D.S.; Medina, S.M.; Weidner, J.R.

    1994-03-01T23:59:59.000Z

    The US Army Yuma Proving Ground (YPG), located in the southwest portion of Arizona conducts firing of projectiles into the Gunpoint (GP-20) firing range. The penetrators are composed of titanium and DU. The purpose of this project was to determine feasible cleanup technologies and disposal alternatives for the cleanup of the depleted uranium (DU) contaminated soils at YPG. The project was split up into several tasks that include (a) collecting and analyzing samples representative of the GP-20 soils, (b) evaluating the data results, (c) conducting a literature search of existing proven technologies for soil remediation, and (0) making final recommendations for implementation of this technology to the site. As a result of this study, several alternatives for the separation, treatment, and disposal procedures are identified that would result in meeting the cleanup levels defined by the Nuclear Regulatory Commission for unrestricted use of soils and would result in a significant cost savings over the life of the firing range.

  4. active exercise programs: Topics by E-print Network

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

    2008 4 12;10 20 12 1995 1999 4 7 2 3 3 & 1. 2. 3. II 4. 5. 6 Miyashita, Yasushi 120 Data Mining using Python --exercises for installation Computer Technologies and Information...

  5. ORISE: Helping Bureau of Reclamation with National Security Exercises...

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

    answer an important question-are these massive dams secure in the event of a terrorist attack? How ORISE is Making a Difference Exercise programs for each of these critical...

  6. PNNL Results from 2009 Silene Criticality Accident Dosimeter Intercomparison Exercise

    SciTech Connect (OSTI)

    Hill, Robin L.; Conrady, Matthew M.

    2010-06-30T23:59:59.000Z

    This document reports the results of testing of the Hanford Personnel Nuclear Accident Dosimeter (PNAD) during a criticality accident dosimeter intercomparison exercise at the CEA Valduc Center on October 13, 14, and 15, 2009.

  7. The regime change in the free exercise of religion debate

    E-Print Network [OSTI]

    Scheuermann, Leslie Theresa

    2013-02-22T23:59:59.000Z

    THE REGIME CHANGE IN THE FREE EXERCISE OF RELIGION DEBATE A Senior Honors Thesis by LESLIE THERESA SCHEUERMANN Submitted to the Office of Honors Programs Ec Academic Scholarships Texas ARM University in partial fulfillment... of the requirements of the UNIVERSITY UNDERGRADUATE RESEARCH FELLOWS April 2004 Major: Political Science THE REGIME CHANGE IN THE FREE EXERCISE OF RELIGION DEBATE A Senior Honors Thesis by LESLIE THERESA SCHEUERMANN Submitted to the Office of Honors Programs...

  8. Effects of Strenuous Exercise on Stallion Sperm Quality

    E-Print Network [OSTI]

    Rosenberg, Jennifer L.

    2012-10-19T23:59:59.000Z

    ), implanted with subdermal thermosensory devices in the subcutaneous neck and scrotal tissue, were assigned to treatment group based on age and semen quality. Exercising stallions (EX; n = 3) were exercised 4 d/wk for 90 min for 12 wk, while non... with heart rate. iv Spermatozoa data were normally distributed; therefore, they were subjected to parametric analysis by repeated measures (wk) using the PROC MIXED procedure (SAS v 9.1; SAS Inst. Inc., Cary, NC). Model included treatment (CN or EX...

  9. Special nuclear materials cutoff exercise: Issues and lessons learned. Volume 1: Summary of exercise

    SciTech Connect (OSTI)

    Libby, R.A.; Davis, C. [Pacific Northwest Lab., Richland, WA (United States); Segal, J.E.; Stanbro, W.D. [Los Alamos National Lab., NM (United States)

    1995-08-01T23:59:59.000Z

    In a September 1993 address to the United Nations General Assembly, President Clinton announced a new nonproliferation and export control policy that established a framework for US efforts to prevent the proliferation of weapons of mass destruction. The new policy proposed that the US undertake a comprehensive approach to the growing accumulation of fissile material. One of the key elements was for the US to support a special nuclear materials (SNM) multilateral convention prohibiting the production of highly enriched uranium (HEU) or plutonium for nuclear explosives purposes or outside of international safeguards. This policy is often referred to as the President`s Cutoff Initiative or the Fissile Material Cutoff Treaty (FMCT). Because both the US Department of Energy (DOE) and foreign reprocessing facilities similar to PUREX will likely to be inspected under a FMCT, the DOE Office of Arms Control and Nonproliferation, Negotiations and Analysis Division (DOE/NN-41) tasked Pacific Northwest Laboratory (PNL) to perform an information gathering exercise, the PUREX Exercise, using the Plutonium-Uranium Extraction (PUREX) Plant located on the Hanford Site in Washington State. PUREX is a former production reactor fuel reprocessing plant currently undergoing a transition to a ``decontamination and decommissioning (D&D) ready`` mode. The PUREX Exercise was conducted March 29--30, 1994, to examine aspects of the imposition of several possible cutoff regimes and to study verification of non-production of SNM for nuclear weapons purposes or outside of safeguards. A follow-up activity to further examine various additional verification regimes was held at Los Alamos National Laboratory (LANL) on May 10, 1994.

  10. Verification and Validation of Hybrid Systems

    E-Print Network [OSTI]

    Jin, Xiaoqing

    2013-01-01T23:59:59.000Z

    N. Bjrner. Z3: An e?cient SMT solver. Tools and AlgorithmsProving monotonicity with an SMT solver. Time is measured inability modulo theories (SMT) solver to prove this property.

  11. SUSTAINABLE REMEDIATION SOFTWARE TOOL EXERCISE AND EVALUATION

    SciTech Connect (OSTI)

    Kohn, J.; Nichols, R.; Looney, B.

    2011-05-12T23:59:59.000Z

    The goal of this study was to examine two different software tools designed to account for the environmental impacts of remediation projects. Three case studies from the Savannah River Site (SRS) near Aiken, SC were used to exercise SiteWise (SW) and Sustainable Remediation Tool (SRT) by including both traditional and novel remediation techniques, contaminants, and contaminated media. This study combined retrospective analysis of implemented projects with prospective analysis of options that were not implemented. Input data were derived from engineering plans, project reports, and planning documents with a few factors supplied from calculations based on Life Cycle Assessment (LCA). Conclusions drawn from software output were generally consistent within a tool; both tools identified the same remediation options as the 'best' for a given site. Magnitudes of impacts varied between the two tools, and it was not always possible to identify the source of the disagreement. The tools differed in their quantitative approaches: SRT based impacts on specific contaminants, media, and site geometry and modeled contaminant removal. SW based impacts on processes and equipment instead of chemical modeling. While SW was able to handle greater variety in remediation scenarios, it did not include a measure of the effectiveness of the scenario.

  12. Validation of Innovative Exploration Technologies for Newberry...

    Open Energy Info (EERE)

    Validation of Innovative Exploration Technologies for Newberry Volcano Geothermal Project Jump to: navigation, search Last modified on July 22, 2011. Project Title Validation of...

  13. Hydrogen Vehicle and Infrastructure Demonstration and Validation...

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

    Vehicle and Infrastructure Demonstration and Validation Hydrogen Vehicle and Infrastructure Demonstration and Validation 2009 DOE Hydrogen Program and Vehicle Technologies Program...

  14. Guidance for Planning Exercises | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM Flash2011-12 OPAMGeneral GuidanceEnergy LaunchingGrowingValidations

  15. Design and characterization of a low cost dual differential proving ring force sensor utilizing Hall-effect sensors

    E-Print Network [OSTI]

    Rivest, Christopher W. (Christopher Warren)

    2006-01-01T23:59:59.000Z

    A novel dual differential hall-effect based proving ring force sensor has been designed, manufactured, and tested. Strain gauge based force sensors are among the most common methods of measuring static and dynamic forces, ...

  16. Description and Theoretical Analysis (Using Schemata) of Planner: A Language for Proving Theorems and Manipulating Models in a Robot

    E-Print Network [OSTI]

    Hewitt, Carl

    1972-04-01T23:59:59.000Z

    Planner is a formalism for proving theorems and manipulating models in a robot. The formalism is built out of a number of problem-solving primitives together with a hierarchical multiprocess backtrack control structure. ...

  17. Remedial investigation report for J-Field, Aberdeen Proving Ground, Maryland. Volume 1: Remedial investigation results

    SciTech Connect (OSTI)

    Yuen, C. R.; Martino, L. E.; Biang, R. P.; Chang, Y. S.; Dolak, D.; Van Lonkhuyzen, R. A.; Patton, T. L.; Prasad, S.; Quinn, J.; Rosenblatt, D. H.; Vercellone, J.; Wang, Y. Y.

    2000-03-14T23:59:59.000Z

    This report presents the results of the remedial investigation (RI) conducted at J-Field in the Edgewood Area of Aberdeen Proving Ground (APG), a U.S. Army installation located in Harford County, Maryland. Since 1917, activities in the Edgewood Area have included the development, manufacture, and testing of chemical agents and munitions and the subsequent destruction of these materials at J-Field by open burning and open detonation. These activities have raised concerns about environmental contamination at J-Field. This RI was conducted by the Environmental Conservation and Restoration Division, Directorate of Safety, Health and Environmental Division of APG, pursuant to requirements outlined under the Comprehensive Environmental Response, Compensation, and Liability Act, as amended (CERCLA). The RI was accomplished according to the procedures developed by the U.S. Environmental Protection Agency (EPA 1988). The RI provides a comprehensive evaluation of the site conditions, nature of contaminants present, extent of contamination, potential release mechanisms and migration pathways, affected populations, and risks to human health and the environment. This information will be used as the basis for the design and implementation of remedial actions to be performed during the remedial action phase, which will follow the feasibility study (FS) for J-Field.

  18. Modeling exposure to depleted uranium in support of decommissioning at Jefferson Proving Ground, Indiana

    SciTech Connect (OSTI)

    Ebinger, M.H. [Los Alamos National Lab., NM (United States); Oxenburg, T.P. [Army Test and Evaluation Command, Aberdeen Proving Ground, MD (United States)

    1997-02-01T23:59:59.000Z

    Jefferson Proving Ground was used by the US Army Test and Evaluation Command for testing of depleted uranium munitions and closed in 1995 under the Base Realignment and Closure Act. As part of the closure of JPG, assessments of potential adverse health effects to humans and the ecosystem were conducted. This paper integrates recent information obtained from site characterization surveys at JPG with environmental monitoring data collected from 1983 through 1994 during DU testing. Three exposure scenarios were evaluated for potential adverse effects to human health: an occasional use scenario and two farming scenarios. Human exposure was minimal from occasional use, but significant risk were predicted from the farming scenarios when contaminated groundwater was used by site occupants. The human health risk assessments do not consider the significant risk posed by accidents with unexploded ordnance. Exposures of white-tailed deer to DU were also estimated in this study, and exposure rates result in no significant increase in either toxicological or radiological risks. The results of this study indicate that remediation of the DU impact area would not substantially reduce already low risks to humans and the ecosystem, and that managed access to JPG is a reasonable model for future land use options.

  19. Contamination source review for Building E3236, Edgewood Area, Aberdeen Proving Ground, Maryland

    SciTech Connect (OSTI)

    Zellmer, S.D.; Smits, M.P.; Draugelis, A.K.; Glennon, M.A.; Rueda, J.; Zimmerman, R.E.

    1995-09-01T23:59:59.000Z

    The US Army Aberdeen Proving Ground (APG) commissioned Argonne National Laboratory (ANL) to conduct a contamination source review to identify and define areas of toxic or hazardous contaminants and to assess the physical condition and accessibility of APG buildings. The information obtained from the review may be used to assist the US Army in planning for the future use or disposition of the buildings. The contamination source review consisted of the following tasks: historical records search, physical inspection, photographic documentation, geophysical investigation, and review of available records regarding underground storage tanks associated with each building. This report provides the results of the contamination source review for Building E3236. Many of the APG facilities constructed between 1917 and the 1960s are no longer used because of obsolescence and their poor state of repair. Because many of these buildings were used for research, development, testing, and/or pilot- scale production of chemical warfare agents and other military substances, the potential exists for portions of the buildings to be contaminated with these substances, their degradation products, and other laboratory or industrial chemicals. These buildings and associated structures or appurtenances may contribute to environmental concerns at APG.

  20. Empirical Validation of Energy-Neutral Operation on Wearable Devices by MISO Beamforming of IEEE 802.11ac

    E-Print Network [OSTI]

    Shinozuka, Masanobu

    Empirical Validation of Energy-Neutral Operation on Wearable Devices by MISO Beamforming of IEEE.11ac's multiple input, single output (MISO) structure to focus the transmit power to im- prove environments, and they can act as a reliable source by emit- ting RF power in a controlled manner. Although RF

  1. Linear algorithms for phase retrieval in the Fresnel region: validity conditions

    E-Print Network [OSTI]

    Gureyev, T E

    2015-01-01T23:59:59.000Z

    We describe the relationship between different forms of linearized expressions for the spatial distribution of intensity of X-ray projection images obtained in the Fresnel region. We prove that under the natural validity conditions some of the previously published expressions can be simplified without a loss of accuracy. We also introduce modified validity conditions which are likely to be fulfilled in many relevant practical cases, and which lead to a further significant simplification of the expression for the image-plane intensity, permitting simple non-iterative linear algorithms for the phase retrieval.

  2. Potential health impacts from range fires at Aberdeen Proving Ground, Maryland.

    SciTech Connect (OSTI)

    Willians, G.P.; Hermes, A.M.; Policastro, A.J.; Hartmann, H.M.; Tomasko, D.

    1998-03-01T23:59:59.000Z

    This study uses atmospheric dispersion computer models to evaluate the potential for human health impacts from exposure to contaminants that could be dispersed by fires on the testing ranges at Aberdeen Proving Ground, Maryland. It was designed as a screening study and does not estimate actual human health risks. Considered are five contaminants possibly present in the soil and vegetation from past human activities at APG--lead, arsenic, trichloroethylene (TCE), depleted uranium (DU), and dichlorodiphenyltrichloroethane (DDT); and two chemical warfare agents that could be released from unexploded ordnance rounds heated in a range fire--mustard and phosgene. For comparison, dispersion of two naturally occurring compounds that could be released by burning of uncontaminated vegetation--vinyl acetate and 2-furaldehyde--is also examined. Data from previous studies on soil contamination at APG are used in conjunction with conservative estimates about plant uptake of contaminants, atmospheric conditions, and size and frequency of range fires at APG to estimate dispersion and possible human exposure. The results are compared with US Environmental Protection Agency action levels. The comparisons indicate that for all of the anthropogenic contaminants except arsenic and mustard, exposure levels would be at least an order of magnitude lower than the corresponding action levels. Because of the compoundingly conservative nature of the assumptions made, they conclude that the potential for significant human health risks from range fires is low. The authors recommend that future efforts be directed at fire management and control, rather than at conducting additional studies to more accurately estimate actual human health risk from range fires.

  3. Generator, mechanical, smoke: For dual-purpose unit, XM56, Yuma Proving Ground, Yuma, Arizona

    SciTech Connect (OSTI)

    Driver, C.J.; Ligotke, M.W.; Moore, E.B. Jr. (Pacific Northwest Lab., Richland, WA (United States)); Bowers, J.F. (Dugway Proving Ground, UT (United States))

    1991-10-01T23:59:59.000Z

    The US Army Chemical Research, Development and Engineering Center (CRDEC) is planning to perform a field test of the XM56 smoke generator at the US Army Yuma Proving Ground (YPG), Arizona. The XM56, enabling the use of fog oil in combination with other materials, such as graphite flakes, is part of an effort to improve the efficiency of smoke generation and to extend the effectiveness of the resulting obscurant cloud to include the infrared spectrum. The plan field operation includes a road test and concurrent smoke- generation trials. Three M1037 vehicles with operation XM56 generators will be road-tested for 100 h. Smoke will be generated for 30 min from a single stationary XM56 four times during the road test, resulting in a total of 120 min of smoke generation. The total aerial release of obscurant materials during this test is expected to be 556 kg (1,220 lb) of fog oil and 547 kg (1,200 lb) of graphite flakes. This environmental assessment has evaluated the consequences of the proposed action. Air concentrations and surface deposition levels were estimated using an atmospheric dispersion model. Degradation of fog oil and incorporation of graphite in the soil column will limit the residual impacts of the planned action. No significant impacts to air, water, and soil quality are anticipated. risks to the environment posed by the proposed action were determined to be minimal or below levels previously found to pose measurable impacts. Cultural resources are present on YPG and have been identified in adjacent areas; therefore, off-road activities should be preceded by a cultural resource survey. A Finding of No Significant Impact is recommended. 61 refs., 1 fig.

  4. GSA's Green Proving Ground: Identifying, Testing and Evaluating Innovative Technologies; Preprint

    SciTech Connect (OSTI)

    Kandt, A.; Lowell, M.

    2012-05-01T23:59:59.000Z

    This paper will provide an overview of the GPG program and its objectives as well as a summary and status update of the 16 technologies selected for enhanced testing and evaluation in 2011. The federal government's General Services Administration's (GSA) Public Buildings Service (PBS) acquires space on behalf of the federal government through new construction and leasing, and acts as a caretaker for federal properties across the country. PBS owns or leases 9,624 assets and maintains an inventory of more than 370.2 million square feet of workspace, and as such has enormous potential for implementing energy efficient and renewable energy technologies to reduce energy and water use and associated emissions. The Green Proving Ground (GPG) program utilizes GSA's real estate portfolio to test and evaluate innovative and underutilized sustainable building technologies and practices. Findings are used to support the development of GSA performance specifications and inform decision making within GSA, other federal agencies, and the real estate industry. The program aims to drive innovation in environmental performance in federal buildings and help lead market transformation through deployment of new technologies. In 2011, the GPG program selected 16 technologies or practices for rigorous testing and evaluation. Evaluations are currently being performed in collaboration with the Department of Energy's National Laboratories, and a steady stream of results will be forthcoming throughout 2012. This paper will provide an overview of the GPG program and its objectives as well as a summary and status update of the 16 technologies selected for enhanced testing and evaluation in 2011. Lastly, it provides a general overview of the 2012 program.

  5. Methodology for Validating Building Energy Analysis Simulations

    SciTech Connect (OSTI)

    Judkoff, R.; Wortman, D.; O'Doherty, B.; Burch, J.

    2008-04-01T23:59:59.000Z

    The objective of this report was to develop a validation methodology for building energy analysis simulations, collect high-quality, unambiguous empirical data for validation, and apply the validation methodology to the DOE-2.1, BLAST-2MRT, BLAST-3.0, DEROB-3, DEROB-4, and SUNCAT 2.4 computer programs. This report covers background information, literature survey, validation methodology, comparative studies, analytical verification, empirical validation, comparative evaluation of codes, and conclusions.

  6. Incrementally Deployable Source Address Validity

    E-Print Network [OSTI]

    Li, Jun

    ID-SAVE: Incrementally Deployable Source Address Validity Enforcement Toby Ehrenkranz ://netsec.cs.uoregon.edu #12;Ehrenkranz WiP ID-SAVE What's The Problem? While routers know which direction a packet should are unreliable ID-SAVE attacks this root cause! 1 #12;Ehrenkranz WiP ID-SAVE ID-SAVE Basics Create and maintain

  7. Model Validation with Hybrid Dynamic Simulation

    SciTech Connect (OSTI)

    Huang, Zhenyu; Kosterev, Dmitry; Guttromson, Ross T.; Nguyen, Tony B.

    2006-06-18T23:59:59.000Z

    Abstract—Model validation has been one of the central topics in power engineering studies for years. As model validation aims at obtaining reasonable models to represent actual behavior of power system components, it has been essential to validate models against actual measurements or known benchmark behavior. System-wide model simulation results can be compared with actual recordings. However, it is difficult to construct a simulation case for a large power system such as the WECC system and to narrow down to problematic models in a large system. Hybrid dynamic simulation with its capability of injecting external signals into dynamic simulation enables rigorous comparison of measurements and simulation in a small subsystem of interest. This paper presents such a model validation methodology with hybrid dynamic simulation. Two application examples on generator and load model validation are presented to show the validity of this model validation methodology. This methodology is further extended for automatic model validation and dichotomous subsystem model validation.

  8. Exercise performance of horses fed added dietary fat

    E-Print Network [OSTI]

    Meyers, Michael Clinton

    1986-01-01T23:59:59.000Z

    to exercise was determined fol lowing each treatment period. Heart rate, respiration rate and venous blood samples were collected at rest, at 5, 10 and 20 minutes of exercise (EX), and at 2, 5, 10, 20, 30, 45 and 60 minutes of recovery (REC). Blood samples... were analyzed for determination of lactate, glucose, total fatty acids, pH and packed cell volume (PCV). Ventilatory capacity and oxygen consumption were measured at 20 min EX. Percutaneous muscle biopsies were taken prior to each test...

  9. EFFECT OF AEROBIC EXERCISE INTERVENTION ON PAINFUL DIABETIC NEUROPATHY

    E-Print Network [OSTI]

    Yoo, Min

    2013-05-31T23:59:59.000Z

    maximal exercise test Skin biopsy Visit 6: CTSU (~ 1 ˝ hours, ~1 week after the intervention end) Post-intervention Blood draw *Snack provided Q-Sweat iDXA scan TAPA = telephone assessment of physical activity; DXA = dual-energy X...-sedentary group, the STZ-exercise group showed greater expression of Hsp72, a heat shock protein thought to protect against cell injury and repair damaged nerves [12]. Hsp72 may achieve this by acting as molecular chaperones to correct protein folding...

  10. Eur J Appl Physiol . Author manuscript WISE-2005: effect of aerobic and resistive exercises on orthostatic

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    followed by 10 min of resting LBNP, 3 to 4 times a week, and flywheel resistive training every third day stress. MESH Keywords Bed Rest ; Dizziness ; prevention & control ; Exercise ; physiology ; Exercise

  11. Exercise training regulation of extracellular matrix and remodeling in the aging rat heart

    E-Print Network [OSTI]

    Kwak, Hyo Bum

    2009-05-15T23:59:59.000Z

    in the aging heart. In contrast, exercise training not only improves cardiac function, but also reduces the risk of heart disease. However, the ability of exercise training to modulate ECM and remodeling in the aging heart remains unknown. Therefore...

  12. Norwich University Applied Research Institutes Cyber Security Education/Training and Exercises

    E-Print Network [OSTI]

    Dasgupta, Dipankar

    Training Emergency Management for IT Professionals Cyber Security Exercise Development Tools ­ Cyber Smart for cybersecurity event response #12;Cyber Exercising · What is unique about cybersecurity? · More akin to Warfare

  13. EFFECTS OF EXERCISE TRAINING ON BRAIN BIOENERGETICS: LACTATE AS A KEY MEDIATOR

    E-Print Network [OSTI]

    E, Lezi

    2013-12-31T23:59:59.000Z

    Exercise has been given credits for promoting health in general. Research show various exercise-induced benefits for brain in both humans and rodents, including improvement of cognitive function, increase of adult neurogenesis, ...

  14. Single Limb Exercise Influences Cardiovascular Function Following Stroke: "A One-Sided View"

    E-Print Network [OSTI]

    Billinger, Sandra A.

    2008-01-01T23:59:59.000Z

    Despite the recommendations of health care professionals, the research community and even pharmaceutical companies, exercise remains a neglected daily regimen for most individuals. Very simply, exercise is any activity ...

  15. The effect of exercise and dietary fiber on the rate of gastrointestinal transit in the rat

    E-Print Network [OSTI]

    Dorr, Jerri Suzanne

    1987-01-01T23:59:59.000Z

    with cancer of the rectum. These data were compared to the life-time occupational physical exercise of 1, 43l patients with non-neoplastic, nondigestive diseases. Results indicate an increasing risk of colon cancer with increasing work years, proportion... cancer incidence, Several studies have reported changes in body composition that occur as a result of exercise (59, 67, 68). We found that the exercised rats weighed less than the non- exercised controls after they had been swimming for three weeks...

  16. An On-bed Guidance and Monitoring System for Rehabilitative Exercises

    E-Print Network [OSTI]

    Shen, Xinchen

    2013-01-01T23:59:59.000Z

    vi List of Figures Hip Abduction . . . . .exercises. Figure 2.1: Hip Abduction Figure 2.2: Hamstring

  17. Thermoregulation of the testicle in response to exercise and subsequent effects on seminal characteristics in stallions

    E-Print Network [OSTI]

    Mawyer, Jeannette Diane

    2012-07-16T23:59:59.000Z

    ; prior to the onset of the exercise period RCT Rectal temperature rf Rump fat RR Respiration rate SCSA Sperm Chromatin Structure Assay COMP?t Sperm chromatin structure assay ? cells outside main population SET Standard exercise test SQNT... (THI) at each time point during exercise. .................................................. 27 7 Mean (? SD) rectal temperatures (RCT) of non-ex (control) and ex (treatment) stallions during exercise protocol (n=4/group...

  18. Mitigating Disuse Bone Loss: Role of Resistance Exercise and Beta-Adrenergic Signaling

    E-Print Network [OSTI]

    Swift, Joshua Michael

    2011-08-08T23:59:59.000Z

    on Bone During Extended Bed Rest (Human) Only a few long-term bed rest investigations have successfully mitigated bone loss with exercise paradigms. Combined supine flywheel resistive and treadmill exercise during 90-day bed rest in young men... novel rodent resistance exercise device using flywheel technology was used by Fluckey et al (57) to demonstrate the effects of maximal voluntary squats, performed during suspension, on changes in metaphyseal bone mass. The flywheel exercise protocol...

  19. Exercise overloading in the equine: cardiorespiratory and metabolic response to a combined long, slow, distance and interval training exercise regimen

    E-Print Network [OSTI]

    Drozd, Leann Francine

    1988-01-01T23:59:59.000Z

    ) on an equine treadmill. The total conditioning portion of the study was divided into two, 42-d phases. The first 42 d of conditioning were designed to condition the horses through long, slow, distance (LSD) exercise. Horses were galloped 4. 8 km at 400 m... were not significantly different. After a 14-wk study of traditionally training the Thoroughbred, Foreman et al. (1983) reported no significant differences in HR at rest, during a SET gallop, nor at 20, 40 and 60 min post exercise. However...

  20. Teachers as Game Designers: Lessons from a Collaborative Learning Exercise

    E-Print Network [OSTI]

    Toronto, University of

    to shape India's education through curriculum and policy development, has embarked on a project Research Toronto, ON, M5R 2Y8 New Delhi, India Toronto, ON, M5R 2Y8 Bangalore, India navkar report our experiences from an exercise conducted in India to help twelve 9th and 10th grade teachers

  1. A Virtual Reality-Based Exercise Program For Stroke Rehabilitation

    E-Print Network [OSTI]

    New Jersey, University of Medicine and Dentistry of

    Several researchers have shown in both animal and human studies that important variables in reA Virtual Reality-Based Exercise Program For Stroke Rehabilitation David Jack 2, 3 , Rares Boian 1 1 and Howard Poizner 2 * ABSTRACT A PC based desktop Virtual Reality system was developed

  2. PubMed advanced exercise: MeSH Searching

    E-Print Network [OSTI]

    Rzepa, Henry S.

    achilles tendon and click Search. With MeSH searches, you enter only one search term at a time and you don can remove the need to enter multiple alternative terms to describe the same concept. For the following exercise, please search PubMed using: a) search terms that feature within the following

  3. Isoprene and acetone concentration profiles during exercise on an ergometer

    E-Print Network [OSTI]

    Teschl, Gerald

    spectrometry (PTR-MS); selected ion flow tube mass spectrometry (SIFT-MS); gas chromatography mass spectrometry to changes in pulmonary ventilation and perfusion due to its lipophilic behavior and low Henry constant/min, respectively, with some intra-individual day-to-day variation. At the onset of exercise breath isoprene

  4. Problem 1 (DPLL) (10 points) Prove the (un-)satisfiability of the following set of propositional clauses us-

    E-Print Network [OSTI]

    Waldmann, Uwe

    , then there exists a ground -term t such that F[t/x] is satisfiable. Part (b) Refute: If x F is valid, then there exists a ground -term t such that F[t/x] is valid. (Hint: F may contain quantifiers and/or equations.) Problem 3 (Rewrite systems) (10 points) Is the rewrite system { f(a) f(b), f(b) f(c), f(c) f(a), f

  5. MMV: Metamodeling Based Microprocessor Validation Environment

    E-Print Network [OSTI]

    Minnesota, University of

    MMV: Metamodeling Based Microprocessor Validation Environment Ajit Dingankar, Deepak A. Mathaikutty- tionality, recent generations of microprocessors face difficult validation challenges. The systematic to production RTL, which is likely to remain the dominant design methodology of complex microprocessors

  6. k-Validity vs Validity in Q: A formula of Q that is k-valid for all k, but not valid Branden Fitelson

    E-Print Network [OSTI]

    Fitelson, Branden

    k-Validity vs Validity in Q: A formula of Q that is k-valid for all k, but not valid Branden Fitelson 03/13/07 Consider the following three formulas of Q [where, as always, p q (p q), and p p]: p x A false on any k-element interpretation. And, since A is a closed formula, it must either be true or false

  7. Proving Termination Properties with mu-term Beatriz Alarcon, Raul Gutierrez, Salvador Lucas, and Rafael Navarro-Marset

    E-Print Network [OSTI]

    Lucas, Salvador

    Proving Termination Properties with mu-term Beatriz Alarc´on, Ra´ul Guti´errez, Salvador Lucas Valencia, Spain Abstract. mu-term is a tool which can be used to verify a number of termination properties of (variants of) Term Rewriting Systems (TRSs): termination of rewriting, termination of innermost rewriting

  8. Choosing a Kernel for Cross-Validation

    E-Print Network [OSTI]

    Savchuk, Olga

    2010-01-14T23:59:59.000Z

    methods of bandwidth selection termed: Indirect cross-validation and Robust one-sided cross- validation. The kernels used in the Indirect cross-validation method yield an improvement in the relative bandwidth rate to n^1=4, which is substantially better...

  9. Modeling and Validation of Pipeline Specifications

    E-Print Network [OSTI]

    Mishra, Prabhat

    -on-Chip design process. Many existing approaches employ a bottom-up approach to pipeline validation, where description language (ADL) constructs, and thus allows a powerful top-down approach to pipeline validationModeling and Validation of Pipeline Specifications PRABHAT MISHRA and NIKIL DUTT University

  10. Experimental Validation of the Multi-Isotope Process Monitor Concept

    SciTech Connect (OSTI)

    Orton, Christopher R.; Schwantes, Jon M.; Fraga, Carlos G.; Douglas, Matthew; Christensen, Richard

    2010-05-13T23:59:59.000Z

    Researchers from Pacific Northwest National Laboratory, in conjunction with personnel from The Ohio State University, are working to develop a system for monitoring spent nuclear fuel reprocessing facilities on-line, non-destructively, and in near-real-time. This method, known as the Multi-Isotope Process (MIP) Monitor, is based upon the measurement of distribution patterns of a suite of indicator (radioactive) isotopes present within particular process streams. Distribution patterns, monitored on-line by gamma spectrometry, are then compared in near-real-time to patterns representing "normal" process conditions using multivariate pattern recognition software. By targeting gamma-emitting indicator isotopes, the MIP Monitor approach is compatible with the use of small, portable, high-resolution gamma detectors that may be easily deployed throughout the facility. In addition, utilization of a suite of radio-elements, including ones with multiple oxidation states, increases the likelihood that attempts to divert material via process manipulation would be detected. Proof-of-principle modeling exercises simulating changes in acid strength have been completed and the results are promising. Laboratory validation is currently under way and significant results are available. The latest experimental results, along with an overview of the method will be presented.

  11. Response of the Femur to Exercise During Recovery Between Two Bouts of Hindlimb Unloading in Adult Male Rats 

    E-Print Network [OSTI]

    Gonzalez, Estela

    2012-10-19T23:59:59.000Z

    Mechanical Testing ............................................................................................. 15 Resistance Exercise ...................................................................................................... 17 METHODS... Mechanical Testing ...................................................................................................... 30 Data Cnalysis ".............................................................................................................. 36...

  12. ,"Oklahoma Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids, ExpectedLNGCoalbed Methane ProvedNetGas, Wet

  13. ,"Pennsylvania Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+ Lease Condensate ProvedGas, Wet After Lease

  14. A New Resource for College Distance Education Astronomy Laboratory Exercises

    E-Print Network [OSTI]

    Vogt, Nicole P; Muise, Amy Smith

    2015-01-01T23:59:59.000Z

    This article introduces a set of distance education astronomy laboratory exercises for use by college students and instructors and discuss first usage results. This General Astronomy Education Source (GEAS) exercise set contains eight two-week projects designed to guide students through both core content and mathematical applications of general astronomy material. Projects are divided between hands-on activities and computer-aided analyses of modern astronomical data. The suite of online resources includes student and instructor guides, laboratory report templates, learning objectives, video tutorials, plotting tools, and web-based applications that allow students to analyze both images and spectra of astronomical objects. A pilot usage study indicates that distance learners using these materials perform as well or better than a comparison cohort of on-campus students. We are actively seeking collaborators to use these resources in astronomy courses and other educational venues.

  15. Depleted uranium risk assessment for Jefferson Proving Ground using data from environmental monitoring and site characterization. Final report

    SciTech Connect (OSTI)

    Ebinger, M.H.; Hansen, W.R.

    1996-10-01T23:59:59.000Z

    This report documents the third risk assessment completed for the depleted uranium (DU) munitions testing range at Jefferson Proving Ground (JPG), Indiana, for the U.S. Army Test and Evaluation command. Jefferson Proving Ground was closed in 1995 under the Base Realignment and Closure Act and the testing mission was moved to Yuma Proving Ground. As part of the closure of JPG, assessments of potential adverse health effects to humans and the ecosystem were conducted. This report integrates recent information obtained from site characterization surveys at JPG with environmental monitoring data collected from 1983 through 1994 during DU testing. Three exposure scenarios were evaluated for potential adverse effects to human health: an occasional use scenario and two farming scenarios. Human exposure was minimal from occasional use, but significant risk were predicted from the farming scenarios when contaminated groundwater was used by site occupants. The human health risk assessments do not consider the significant risk posed by accidents with unexploded ordnance. Exposures of white-tailed deer to DU were also estimated in this study, and exposure rates result in no significant increase in either toxicological or radiological risks. The results of this study indicate that remediation of the DU impact area would not substantially reduce already low risks to humans and the ecosystem, and that managed access to JPG is a reasonable model for future land use options.

  16. Model Validation with Hybrid Dynamic Simulation

    SciTech Connect (OSTI)

    Huang, Zhenyu; Kosterev, Dmitry; Guttromson, Ross T.; Nguyen, Tony B.

    2006-06-22T23:59:59.000Z

    Abstract—Model validation has been one of the central topics in power engineering studies for years. As model validation aims at obtaining reasonable models to represent actual behavior of power system components, it has been essential to validate models against actual measurements or known benchmark behavior. System-wide model simulation results can be compared with actual recordings. However, it is difficult to construct a simulation case for a large power system such as the WECC system and to narrow down to problematic models in a large system. Hybrid dynamic simulation with its capability of injecting external signals into dynamic simulation enables rigorous comparison of measurements and simulation in a small subsystem of interest. This paper presents such a model validation methodology with hybrid dynamic simulation. Two application examples on generator and load model validation are presented to show the validity of this model validation methodology. This methodology is further extended for automatic model validation and dichotomous subsystem model validation. A few methods to define model quality indices have been proposed to quantify model error for model validation criteria development.

  17. The development of predictors of nonadherence to voluntary exercise programs

    E-Print Network [OSTI]

    Hosea, Linda Louise Marx

    1984-01-01T23:59:59.000Z

    -selected, male high risk or coronary heart disease subjects enrolled in formal programs. Whether the possible need to psychologically deny their symptomatology in fact makes these people different from the normal population is unknown. How- ever, the results... of those studies can serve as useful guidelines for people who have not received such a diag- nosis both because the drop-out from an exercise program may also be at potential risk for coronary heart disease, and because until factors predictive...

  18. Defense programs business practices re-engineering QFD exercise

    SciTech Connect (OSTI)

    Murray, C.; Halbleib, L.

    1996-03-01T23:59:59.000Z

    The end of the cold war has resulted in many changes for the Nuclear Weapons Complex (NWC). We now work in a smaller complex, with reduced resources, a smaller stockpile, and no new phase 3 weapons development programs. This new environment demands that we re-evaluate the way we design and produce nuclear weapons. The Defense Program (DP) Business Practices Re-engineering activity was initiated to improve the design and production efficiency of the DP Sector. The activity had six goals: (1) to identify DP business practices that are exercised by the Product Realization Process (PRP); (2) to determine the impact (positive, negative, or none) of these practices on defined, prioritized customer criteria; (3) to identify business practices that are candidates for elimination or re-engineering; (4) to select two or three business practices for re-engineering; (5) to re-engineer the selected business practices; and (6) to exercise the re-engineered practices on three pilot development projects. Business practices include technical and well as administrative procedures that are exercised by the PRP. A QFD exercise was performed to address (1)-(4). The customer that identified, defined, and prioritized the criteria to rate the business practices was the Block Change Advisory Group. Five criteria were identified: cycle time, flexibility, cost, product performance/quality, and best practices. Forty-nine business practices were identified and rated per the criteria. From this analysis, the group made preliminary recommendations as to which practices would be addressed in the re-engineering activity. Sixteen practices will be addressed in the re-engineering activity. These practices will then be piloted on three projects: (1) the Electronic Component Assembly (ECA)/Radar Project, (2) the B61 Mod 11, and (3) Warhead Protection Program (WPP).

  19. 1Energy Metabolism Laboratory Intelligent Design of the Exercise Drug

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    underlies risk for metabolic disease (e.g. Type-2 Diabetes). #12;5Energy Metabolism Laboratory H H OH OH CH21Energy Metabolism Laboratory H H OH OH CH2OH H OH OH H Intelligent Design of the Exercise Drug;2Energy Metabolism Laboratory H H OH OH CH2OH H OH OH H Lab Mission Statement To understand how physical

  20. The development of radioactive sample surrogates for training and exercises

    SciTech Connect (OSTI)

    Martha Finck; Bevin Brush; Dick Jansen; David Chamberlain; Don Dry; George Brooks; Margaret Goldberg

    2012-03-01T23:59:59.000Z

    The development of radioactive sample surrogates for training and exercises Source term information is required for to reconstruct a device used in a dispersed radiological dispersal device. Simulating a radioactive environment to train and exercise sampling and sample characterization methods with suitable sample materials is a continued challenge. The Idaho National Laboratory has developed and permitted a Radioactive Response Training Range (RRTR), an 800 acre test range that is approved for open air dispersal of activated KBr, for training first responders in the entry and exit from radioactively contaminated areas, and testing protocols for environmental sampling and field characterization. Members from the Department of Defense, Law Enforcement, and the Department of Energy participated in the first contamination exercise that was conducted at the RRTR in the July 2011. The range was contaminated using a short lived radioactive Br-82 isotope (activated KBr). Soil samples contaminated with KBr (dispersed as a solution) and glass particles containing activated potassium bromide that emulated dispersed radioactive materials (such as ceramic-based sealed source materials) were collected to assess environmental sampling and characterization techniques. This presentation summarizes the performance of a radioactive materials surrogate for use as a training aide for nuclear forensics.

  1. PV Performance and Reliability Validation Capabilities at Sandia...

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

    Performance and Reliability Validation Capabilities at Sandia National Laboratories PV Performance and Reliability Validation Capabilities at Sandia National Laboratories This...

  2. Regional Carbon Sequestration Partnerships Validation Phase ...

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

    Regional Carbon Sequestration Partnerships Validation Phase Core Storage R&D Storage Infrastructure Strategic Program Support NATCARBAtlas Program Plan Project Portfolio...

  3. Calibration and Validation of Measurement System

    E-Print Network [OSTI]

    +45 98 14 25 55 Hydraulics and Coastal Engineering No. 2 Calibration and Validation of Measurement ......................................................................................................................................11 9. SIPHON TURBINE ......................................................................................................................................12 10. DUMMY TURBINES

  4. HEV, PHEV, BEV Test Standard Validation

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

    BEV Test Standard Validation 2011 DOE Hydrogen Program and Vehicle Technologies Annual Merit Review May 10, 2011 Michael Duoba Argonne National Laboratory Sponsored by Lee Slezak...

  5. Geothermal: Sponsored by OSTI -- Validation of Multicomponent...

    Office of Scientific and Technical Information (OSTI)

    Validation of Multicomponent Equilibrium Geothermometry at Four Geothermal Power Plants Geothermal Technologies Legacy Collection HelpFAQ | Site Map | Contact Us HomeBasic Search...

  6. Verification and Validation of Facilities Procedures Assessment...

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

    Verification and Validation of Facilities Procedures Assessment Plan NNSANevada Site Office Independent Oversight Division Performance Objective: The purpose of this assessment is...

  7. FIMS Data Validation | Department of Energy

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

    FIMS Data Validation The Facility Information Management System (FIMS) is the Department's official repository of real property data. The Department relies on the FIMS data for...

  8. Fuel Cell Backup Power Technology Validation (Presentation)

    SciTech Connect (OSTI)

    Kurtz, J.; Sprik, S.; Ramsden, T.; Saur, G.

    2012-10-01T23:59:59.000Z

    Presentation about fuel cell backup power technology validation activities at the U.S. Department of Energy's National Renewable Energy Laboratory.

  9. FACILITIES INFORMATION MANAGEMENT SYSTEM (FIMS) DATA VALIDATION...

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

    not scored xii) Year Acquired - Validated not scored xiii) Disposition Date (Archived data) xiv) Disposition Method (Archived data) xv) Net Proceeds (Archived data) b) The...

  10. Nuclear Systems Modeling, Simulation & Validation | ORNL

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

    Systems Modeling and Simulation SHARE Nuclear Systems Modeling, Simulation and Validation Reactor physics depletion model for the Advanced Test Reactor Reactor physics depletion...

  11. Environmental Data from the ORNL Distributed Active Archive Center (DAAC) for Biogeochemical Dynamics

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

    •\tThe Prototype Validation Exercise (PROVE) The ORNL DAAC also provides access to data for many regional and global projects and to a model archive. (Specialized Interface)(Registration Required)

  12. ,"Ohio Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids, ExpectedLNGCoalbed Methane ProvedNetGas, Wet After

  13. ,"Texas--RRC District 1 Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+ LeasePrice Sold toDryDryDryCoalbed Methane ProvedLiquids

  14. Table 9: Total U.S. proved reserves of natural gas, wet after lease separation, 2001-13

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:14: Total U.S. proved

  15. ,"Calif--Coastal Region Onshore Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;Net WithdrawalsWellhead PricePriceShale ProvedCrude

  16. ,"Calif--Los Angeles Basin Onshore Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;Net WithdrawalsWellhead PricePriceShale ProvedCrudeCrude

  17. ,"New Mexico--West Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids, Expected Future7,DryPlantCoalbed Methane ProvedLiquids

  18. Indiana Proved Nonproducing Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Building FloorspaceThousandWithdrawals0.0 0.0Decade4Year JanSameThousand Cubic0

  19. Kansas Proved Nonproducing Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Building FloorspaceThousandWithdrawals0.0DecadeYearDecade Year-0Thousand Cubic1

  20. Kentucky Proved Nonproducing Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) 3 0 0 0 1 1996-2013 Lease Condensate

  1. Louisiana Proved Nonproducing Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) 3 0 0 0 1569Decade886,0845,02044 149 183

  2. Michigan Proved Nonproducing Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) 3Exportsper Thousand Cubic9 6 0 0 0 4

  3. Miscellaneous Proved Nonproducing Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet)Commercialper Thousand70 349 350 379724 7 5

  4. Mississippi Proved Nonproducing Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million CubicCubic Feet)Same Month443,025

  5. Montana Proved Nonproducing Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million CubicCubic32,876 10,889Decade03Decade50 42 74 59 95

  6. Alabama Proved Nonproducing Reserves

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of Fuels forA 6 J 9 U B u oDecadeSame52,051per0 1 2 2

  7. Alaska Proved Nonproducing Reserves

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of Fuels forA 6 J 9 U B uYearDecadeYearThousand Cubic529

  8. Arkansas Proved Nonproducing Reserves

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion CubicPotentialNov-14SalesSame Month Previous1 0 11 10 1996-2013

  9. California Proved Nonproducing Reserves

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469 2,321 2,590FuelDecadeCalifornia (Millionper97 272

  10. Colorado Proved Nonproducing Reserves

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469 2,321Spain,606,602 1,622,434 1,634,58723 42 180 208

  11. Wyoming Proved Nonproducing Reserves

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial602 1,397 125 Q 69 (MillionAdjustments (MillionYearYear Jan Feb162 144 152

  12. Texas Proved Nonproducing Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 34 44Year Jan Feb Mar Apr May Jun Jul2011 2012 2013Thousand

  13. Utah Proved Nonproducing Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 34 44Year Jan FebIncreases (BillionThousand Cubic Feet)40 235

  14. Virginia Proved Nonproducing Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 34 44Year JanDecade Year-0 Year-11,113,016 1,124,7170 0 0 1996-2013

  15. Florida Proved Nonproducing Reserves

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.GasYear Jan Feb Mar AprVentedThousand Cubic0 2

  16. Illinois Proved Nonproducing Reserves

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 TableTotal Consumptionper Thousand Cubic4 15 0 0 0 0

  17. Nebraska Proved Nonproducing Reserves

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803andYearWithdrawals (MillionYear Jan FebThousand Cubic1999

  18. Pennsylvania Proved Nonproducing Reserves

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

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

  19. Ohio Proved Nonproducing Reserves

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar Apr May Jun Jul9Thousand Cubic Feet)7 5 1 1 2

  20. Oklahoma Proved Nonproducing Reserves

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar Apr MayYear Jan Feb Mar Apr May Jun Jul Aug29 138

  1. Why even active people get fatter--the asymmetric effects of increasing and decreasing exercise

    E-Print Network [OSTI]

    Williams, Paul T.

    2008-01-01T23:59:59.000Z

    exercise hiatus Men Weight loss from running initiation (kg/m 2) Weight loss from running initiation Weight gain fromhiatus Women Weight loss from running initiation Increase (

  2. Maui Electrical System Simulation Model Validation

    E-Print Network [OSTI]

    Maui Electrical System Simulation Model Validation Prepared for the U.S. Department of Energy Office of Electricity Delivery and Energy Reliability Under Award No. DE-FC-06NT42847 Task 9 Deliverable ­ Baseline Model Validation By GE Global Research Niskayuna, New York And University of Hawaii Hawaii Natural

  3. Validation and Interactivity of Web API Documentation

    E-Print Network [OSTI]

    Jeffrey, Alan

    of APIs in the directory and shows that REST1 [3] is in the majority and is growing faster than any other validation. 1ProgrammableWeb API styles are self-reported by the API owners, and APIs reported as RESTful mayValidation and Interactivity of Web API Documentation Peter J. Danielsen and Alan Jeffrey Bell Labs

  4. Development and Validation of an Aeroelastic Model of a Small Furling Wind Turbine: Preprint

    SciTech Connect (OSTI)

    Jonkman, J. M.; Hansen, A. C.

    2004-12-01T23:59:59.000Z

    Small wind turbines often use some form of furling (yawing and/or tilting out of the wind) to protect against excessive power generation and rotor speeds in high winds.The verification study demonstrated the correct implementation of FAST's furling dynamics. During validation, the model tends to predict mean rotor speeds higher than measured in spite of the fact that the mean furl motion and rotor thrust are predicted quite accurately. This work has culminated with an enhanced version of FAST that should prove to be a valuable asset to designers of small wind turbines.

  5. Muscle glycogen utilization and exercise performance in horses

    E-Print Network [OSTI]

    Oldham, Shannon Lee

    1990-01-01T23:59:59.000Z

    glycogen supercompensation. After adaptation to each dietary treatment, all horses performed an exercise test (ET) consisting of four, 600-m gallops. Muscle biopsies were obtained before and after the ET, and blood samples were taken before, during... the control and 10FS diets were fed. Horses tended to run the last two gallops faster when on the 10FS diet as compared to the control diet (P&. 09) . After the DPRP regimen, horses ran gallops three and four faster (P&. 05) than both the control and 10FS...

  6. DOE Emergency Exercise Feedback Form | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613PortsmouthBartlesvilleAbout »Department of Energy1904-AC19 | DepartmentExercise

  7. Estimating uncertainty of inference for validation

    SciTech Connect (OSTI)

    Booker, Jane M [Los Alamos National Laboratory; Langenbrunner, James R [Los Alamos National Laboratory; Hemez, Francois M [Los Alamos National Laboratory; Ross, Timothy J [UNM

    2010-09-30T23:59:59.000Z

    We present a validation process based upon the concept that validation is an inference-making activity. This has always been true, but the association has not been as important before as it is now. Previously, theory had been confirmed by more data, and predictions were possible based on data. The process today is to infer from theory to code and from code to prediction, making the role of prediction somewhat automatic, and a machine function. Validation is defined as determining the degree to which a model and code is an accurate representation of experimental test data. Imbedded in validation is the intention to use the computer code to predict. To predict is to accept the conclusion that an observable final state will manifest; therefore, prediction is an inference whose goodness relies on the validity of the code. Quantifying the uncertainty of a prediction amounts to quantifying the uncertainty of validation, and this involves the characterization of uncertainties inherent in theory/models/codes and the corresponding data. An introduction to inference making and its associated uncertainty is provided as a foundation for the validation problem. A mathematical construction for estimating the uncertainty in the validation inference is then presented, including a possibility distribution constructed to represent the inference uncertainty for validation under uncertainty. The estimation of inference uncertainty for validation is illustrated using data and calculations from Inertial Confinement Fusion (ICF). The ICF measurements of neutron yield and ion temperature were obtained for direct-drive inertial fusion capsules at the Omega laser facility. The glass capsules, containing the fusion gas, were systematically selected with the intent of establishing a reproducible baseline of high-yield 10{sup 13}-10{sup 14} neutron output. The deuterium-tritium ratio in these experiments was varied to study its influence upon yield. This paper on validation inference is the first in a series of inference uncertainty estimations. While the methods demonstrated are primarily statistical, these do not preclude the use of nonprobabilistic methods for uncertainty characterization. The methods presented permit accurate determinations for validation and eventual prediction. It is a goal that these methods establish a standard against which best practice may evolve for determining degree of validation.

  8. Long-term fate of depleted uranium at Aberdeen and Yuma Proving Grounds: Human health and ecological risk assessments

    SciTech Connect (OSTI)

    Ebinger, M.H.; Beckman, R.J.; Myers, O.B. [Los Alamos National Lab., NM (United States); Kennedy, P.L.; Clements, W.; Bestgen, H.T. [Colorado State Univ., Ft. Collins, CO (United States). Dept. of Fishery and Wildlife Biology

    1996-09-01T23:59:59.000Z

    The purpose of this study was to evaluate the immediate and long-term consequences of depleted uranium (DU) in the environment at Aberdeen Proving Ground (APG) and Yuma Proving Ground (YPG) for the Test and Evaluation Command (TECOM) of the US Army. Specifically, we examined the potential for adverse radiological and toxicological effects to humans and ecosystems caused by exposure to DU at both installations. We developed contaminant transport models of aquatic and terrestrial ecosystems at APG and terrestrial ecosystems at YPG to assess potential adverse effects from DU exposure. Sensitivity and uncertainty analyses of the initial models showed the portions of the models that most influenced predicted DU concentrations, and the results of the sensitivity analyses were fundamental tools in designing field sampling campaigns at both installations. Results of uranium (U) isotope analyses of field samples provided data to evaluate the source of U in the environment and the toxicological and radiological doses to different ecosystem components and to humans. Probabilistic doses were estimated from the field data, and DU was identified in several components of the food chain at APG and YPG. Dose estimates from APG data indicated that U or DU uptake was insufficient to cause adverse toxicological or radiological effects. Dose estimates from YPG data indicated that U or DU uptake is insufficient to cause radiological effects in ecosystem components or in humans, but toxicological effects in small mammals (e.g., kangaroo rats and pocket mice) may occur from U or DU ingestion. The results of this study were used to modify environmental radiation monitoring plans at APG and YPG to ensure collection of adequate data for ongoing ecological and human health risk assessments.

  9. Dyslexia Exercises on my Tablet are more Fun Luz Rello Clara Bayarri Azuki G`orriz

    E-Print Network [OSTI]

    Dyslexia Exercises on my Tablet are more Fun Luz Rello Clara Bayarri Azuki G`orriz Cookie Cloud Barcelona, Spain dyseggxia@gmail.com ABSTRACT Worldwide, around 10% of the children have dyslexia for children with dyslexia. It features five dif- ferent exercises, which were derived from previous research

  10. Testing a Collaborative DDoS Defense in a Red Team/Blue Team Exercise

    E-Print Network [OSTI]

    California at Los Angeles, University of

    Testing a Collaborative DDoS Defense in a Red Team/Blue Team Exercise Jelena Mirkovic, Member, IEEE, and performed October 2002 to May 2003. The goal of the exercise was to evaluate a collaborative DDoS defense in DDoS defense systems (e.g., avoiding reliance on timing mechanisms), and taught us many lessons about

  11. RINSE: the Real-time Immersive Network Simulation Environment for Network Security Exercises (Extended Version)

    E-Print Network [OSTI]

    Liu, Xiaowen "Jason"

    RINSE: the Real-time Immersive Network Simulation Environment for Network Security Exercises-time Immer- sive Network Simulation Environment for network security exercises (RINSE) to meet this need to support large-scale network security preparedness and training ex- ercises, involving hundreds of players

  12. PPARs: Potential Mechanisms Regulating Blood Lipid and Lipoprotein Concentrations at Rest and Following Exercise in the Obese 

    E-Print Network [OSTI]

    Greene, Nicholas Perry

    2011-10-21T23:59:59.000Z

    Obesity is associated with greater rates of cardiovascular disease, dyslipidemia and dysfunctional lipid metabolism. Exercise may provide an effective therapeutic tool to ameliorate dyslipidemia. However, how exercise attenuates dyslipidemia...

  13. Advanced Supply System Validation Workshop Agenda

    Broader source: Energy.gov [DOE]

    List of Assumptions and Draft Workshop Agenda for the Advanced Supply System Validation Workshop, February 3-4, 2014, Golden, Colorado, from the U.S. Department of Energy's Bioenergy Technologies Office.

  14. Validating Computer-Designed Proteins for Vaccines

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

    Validating Computer-Designed Proteins for Vaccines Print In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has...

  15. A VALIDATION INDEX FOR ARTIFICIAL NEURAL NETWORKS

    E-Print Network [OSTI]

    Roberts, Stephen

    A VALIDATION INDEX FOR ARTIFICIAL NEURAL NETWORKS Stephen Roberts, Lionel Tarassenko, James Pardey and estimation properties of artificial neural networks. Like many `traditional' statistical techniques & David Siegwart Neural Network Research Group Department of Engineering Science University of Oxford, UK

  16. Navy Technology Validation (Techval) Monitoring Results

    Broader source: Energy.gov [DOE]

    Presentation covers the Navy Technology Validation (Techval) Monitoring Results and is given at the Federal Utility Partnership Working Group (FUPWG) 2006 Spring meeting, held on May 3-4, 2006 in Atlanta, Georgia.

  17. Tools for event generator tuning and validation

    E-Print Network [OSTI]

    Andy Buckley

    2008-09-26T23:59:59.000Z

    I describe the current status of MCnet tools for validating the performance of event generator simulations against data, and for tuning their phenomenological free parameters. For validation, the Rivet toolkit is now a mature and complete system, with a large library of prominent benchmark analyses. For tuning, the Professor system has recently completed its first tunes of Pythia 6, with substantial improvements on the existing default tune and potential to greatly aid the setup of new generators for LHC studies.

  18. MCNP-4B Validation for the DFS System at SRS

    SciTech Connect (OSTI)

    Blanchard, A.

    1999-10-07T23:59:59.000Z

    This document provides the current work to date on the validation of the WSRC certified MCNP-4B, and is the last stage of the WSRC Validation Plan that was drafted to guide the validation effort.

  19. Robust Network Design: Formulations, Valid Inequalities, and ...

    E-Print Network [OSTI]

    2011-08-31T23:59:59.000Z

    Aug 31, 2011 ... network equipment guaranteeing a routing for all considered (data) traffic ... leads to a wastage of network capacities, investments, and energy. ... cost-efficient telecommunication networks the uncertainty of future ..... Since this model is at the center of this paper, we prove the dimension of its polyhedron.

  20. EXERCISE 4 IN INTRODUCTION TO REPRESENTATION THEORY DMITRY GOUREVITCH

    E-Print Network [OSTI]

    the Plancherel formula ||F(u)||2 = n||u||2 . (2) (P) Using the Plancherel formula prove the following Theorem(Gauss Fq and consider the Gauss sum = (g)(g), where the sum is taken over g F× . Then || = q1-set. Show that the category ShG(X) is canonically equiva- lent to the category Sh(G\\X). If you have done

  1. Design, Modeling, and Validation of a Flame Reformer for LNT...

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

    Design, Modeling, and Validation of a Flame Reformer for LNT External Bypass Regeneration Design, Modeling, and Validation of a Flame Reformer for LNT External Bypass Regeneration...

  2. U-252: Barracuda Web Filter Input Validation Flaws Permit Cross...

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

    2: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks U-252: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks September...

  3. Development and Validation of a Reduced Mechanism for Biodiesel...

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

    Validation of a Reduced Mechanism for Biodiesel Surrogates for Compression Ignition Engine Applications Development and Validation of a Reduced Mechanism for Biodiesel Surrogates...

  4. T-623: HP Business Availability Center Input Validation Hole...

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

    3: HP Business Availability Center Input Validation Hole Permits Cross-Site Scripting Attacks T-623: HP Business Availability Center Input Validation Hole Permits Cross-Site...

  5. Optical Measurement Methods used in Calibration and Validation...

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

    Optical Measurement Methods used in Calibration and Validation of Modeled Injection Spray Characteristics Optical Measurement Methods used in Calibration and Validation of Modeled...

  6. Vehicle Technologies Office Merit Review 2014: Validation of...

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

    Validation of Material Models for Automotive Carbon Fiber Composite Structures Vehicle Technologies Office Merit Review 2014: Validation of Material Models for Automotive Carbon...

  7. V-139: Cisco Network Admission Control Input Validation Flaw...

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

    9: Cisco Network Admission Control Input Validation Flaw Lets Remote Users Inject SQL Commands V-139: Cisco Network Admission Control Input Validation Flaw Lets Remote Users Inject...

  8. Cloud Computing and Validation of Expandable In Silico Livers

    E-Print Network [OSTI]

    Ropella, Glen EP; Hunt, C Anthony

    2010-01-01T23:59:59.000Z

    benefit analysis of cloud computing versus desktop grids.as: Ropella and Hunt: Cloud computing and validation ofCloud computing and validation of expandable in silico

  9. Demonstrating and Validating a Next Generation Model-Based Controller...

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

    and Validating a Next Generation Model-Based Controller for Fuel Efficient, Low Emissions Diesel Engines Demonstrating and Validating a Next Generation Model-Based Controller for...

  10. X-ray fluorescence investigation of surface lead in the Pilot Plant Complex, Aberdeen Proving Ground, Maryland

    SciTech Connect (OSTI)

    Brubaker, K.L.; O`Neill, H.J.; Parks, J.E.; Rueda, J.F.; Schneider, J.F.; Zimmerman, R.E.

    1995-09-01T23:59:59.000Z

    This report presents the results and findings from a field measurement program undertaken in the Pilot Plant Complex (PPC) at Aberdeen Proving Ground, Maryland, to address the potential contamination of the PPC structures with lead in paint. A portable x-ray fluorescence device was used to measure the lead loading at approximately 1,000 locations on painted surfaces in the PPC buildings. The device performed well, although external calibration was necessary for accurate results. The principal conclusion is that the amount of lead present in all the buildings examined presents no regulatory waste disposal problems. The analysis showed that the estimated lead concentration in the amount of rubble expected from each building is far below the regulatory limit, even assuming that all the lead present would be leached during the test procedure (Toxicity Characteristic Leaching Procedure). The level of confidence for this conclusion exceeds 95%. The frequency distributions of the data were markedly skewed; the most probable values were quite low, but significant tails were detected. Evidence for at least three different sub-populations of lead loading values was found, and no simple curve is adequate to describe the observed distributions.

  11. Value of Laboratory Experiments for Code Validations

    SciTech Connect (OSTI)

    Wawersik, W.R.

    1998-12-14T23:59:59.000Z

    Numerical codes have become indispensable for designing underground structures and interpretating the behavior of geologic systems. Because of the complexities of geologic systems, however, code calculations often are associated with large quantitative uncertainties. This papers presents three examples to demonstrate the value of laboratory(or bench scale) experiments to evaluate the predictive capabilities of such codes with five major conclusions: Laboratory or bench-scale experiments are a very cost-effective, controlled means of evaluating and validating numerical codes, not instead of but before or at least concurrent with the implementation of in situ studies. The design of good laboratory validation tests must identifj what aspects of a code are to be scrutinized in order to optimize the size, geometry, boundary conditions, and duration of the experiments. The design of good and sometimes difficult numerical analyses and sensitivity studies. Laboratory validation tests must involve: Good validation experiments will generate independent data sets to identify the combined effect of constitutive models, model generalizations, material parameters, and numerical algorithms. Successfid validations of numerical codes mandate a close collaboration between experimentalists and analysts drawing from the full gamut of observations, measurements, and mathematical results.

  12. Osteogenic effect of optimized muscle stimulation exercise as a countermeasure during hindlimb unloading

    E-Print Network [OSTI]

    Sumner, Lindsay Rebecca

    2009-05-15T23:59:59.000Z

    stimulation protocol by optimizing parameters to benefit bone and muscle. Forty-six 5.5-month-old male rats were divided into 4 groups: baseline control (BC), cage control (CC), hindlimb unloaded no exercise (HU), and hindlimb unloaded with exercise (HU+Ex...). Hindlimb unloading was achieved by tail suspension. The left leg of the HU+Ex group was exercised every other day for 28 days. The right leg of the HU+Ex group and the HU group served as disuse controls. The previous protocol consisted of 4 sets of 10...

  13. Scenario guidance handbook for emergency-preparedness exercises at nuclear facilities

    SciTech Connect (OSTI)

    Laughlin, G.J.; Martin, G.F.; Desrosiers, A.E.

    1983-01-01T23:59:59.000Z

    As part of the Emergency Preparedness Implementation Appraisal Program conducted by the Nuclear Regulatory Commission (NRC) with the technical assistance of the Pacific Northwest Laboratory (PNL), emergency preparedness exercises are observed on an annual basis at all licensed reactor facilities. One of the significant findings to arise from these observations was that a large number of the commonly observed problems originated in the design of the scenarios used as a basis for each exercise. In an effort to help eliminate some of these problems a scenario guidance handbook has been generated by PNL for the NRC to assist nuclear power plant licensees in developing scenarios for emergency preparedness exercises.

  14. Lactic acid production in exercising horses fed N,N-dimethylglycine

    E-Print Network [OSTI]

    Moffitt, Patricia Ghagan

    1984-01-01T23:59:59.000Z

    significantly [P&. 05) lower than period 1 at 20 minutes of exercise and at 2, 5, 10, 20, and 60 minutes of recovery. At 30 minutes of exercise period 2 was lower (P&. 06) showing a 32$ decrease from period 1 to period 2. Period 3 mean lactic acid levels... minutes of exercise, and at 2, 5, 10, 20, 40, and 60 minutes of recovery. Heart rates were obtained for the entire 90 minutes of the SET using an electronic digital heart rate monitor attached to the horse. The electrodes were placed on the anterior...

  15. Cardiorespiratory response and blood lactate in cutting horses subjected to two exercise regimens

    E-Print Network [OSTI]

    Campbell, Mary Elizabeth

    1986-01-01T23:59:59.000Z

    zange in different persons. Heart zate in response to exercise has been studied under meehan ical walker, treadmill, trotting, galloping and tethered swimming con- ditions. Submaximal, maximal and recovery HR have been noted for these different... horses' responses to exercise. Foreman et al. (1983) galloped Thoroughbreds for oue half mile and noted HR as high as 236 beats/min at the end of exercise. Horuicke et al. (1983) noted a lower HR of 186 beats/min, a 4. 4-fold increase ovez the resting...

  16. Data Validation Using Data Descriptors Data validation is often defined by six data descriptors

    E-Print Network [OSTI]

    APPENDIX N Data Validation Using Data Descriptors Data validation is often defined by six data descriptors: 1) reports to decision maker 2) documentation 3) data sources 4) analytical method and detection limit 5) data review 6) data quality indicators The decision maker or reviewer examines the data

  17. Marketing Plan for Demonstration and Validation Assets

    SciTech Connect (OSTI)

    None

    2008-05-30T23:59:59.000Z

    The National Security Preparedness Project (NSPP), is to be sustained by various programs, including technology demonstration and evaluation (DEMVAL). This project assists companies in developing technologies under the National Security Technology Incubator program (NSTI) through demonstration and validation of technologies applicable to national security created by incubators and other sources. The NSPP also will support the creation of an integrated demonstration and validation environment. This report documents the DEMVAL marketing and visibility plan, which will focus on collecting information about, and expanding the visibility of, DEMVAL assets serving businesses with national security technology applications in southern New Mexico.

  18. Validation Data Plan Implementation: Subcooled Flow Boiling

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps toValidating Computer-DesignedValidation

  19. Age validation of canary rockfish (Sebastes pinniger) using two independent otolith techniques: lead-radium and bomb radiocarbon dating.

    SciTech Connect (OSTI)

    Andrews, A H; Kerr, L A; Cailliet, G M; Brown, T A; Lundstrom, C C; Stanley, R D

    2007-11-04T23:59:59.000Z

    Canary rockfish (Sebastes pinniger) have long been an important part of recreational and commercial rockfish fishing from southeast Alaska to southern California, but localized stock abundances have declined considerably. Based on age estimates from otoliths and other structures, lifespan estimates vary from about 20 years to over 80 years. For the purpose of monitoring stocks, age composition is routinely estimated by counting growth zones in otoliths; however, age estimation procedures and lifespan estimates remain largely unvalidated. Typical age validation techniques have limited application for canary rockfish because they are deep dwelling and may be long lived. In this study, the unaged otolith of the pair from fish aged at the Department of Fisheries and Oceans Canada was used in one of two age validation techniques: (1) lead-radium dating and (2) bomb radiocarbon ({sup 14}C) dating. Age estimate accuracy and the validity of age estimation procedures were validated based on the results from each technique. Lead-radium dating proved successful in determining a minimum estimate of lifespan was 53 years and provided support for age estimation procedures up to about 50-60 years. These findings were further supported by {Delta}{sup 14}C data, which indicated a minimum estimate of lifespan was 44 {+-} 3 years. Both techniques validate, to differing degrees, age estimation procedures and provide support for inferring that canary rockfish can live more than 80 years.

  20. The effect of resistance, endurance, and combination exercise on lipid metabolism and non-traditional cardiovascular disease risk markers in previously untrained men 

    E-Print Network [OSTI]

    Martin, Steven Edward

    2009-05-15T23:59:59.000Z

    was higher 24 h after exercise in the CT and ET groups. In the ET group, LDL1-C was elevated 24 h after exercise. With all groups combined, LDL3-C and the TC / HDL-C ratio were elevated and LDL2-C decreased 24 h after exercise. For exercise training...

  1. Model Based Test Generation for Microprocessor Architecture Validation

    E-Print Network [OSTI]

    Minnesota, University of

    , Minneapolis, MN 55455 CESCA, Virginia Tech, Blacksburg, VA 24061 Validation Technology, Intel Corporation

  2. Report of the First Confidence Building Exercise For Biomedical Sample Analysis

    SciTech Connect (OSTI)

    Alcaraz, A; Gregg, H

    2010-02-24T23:59:59.000Z

    We participated in the first exercise to build confidence in the analysis of biomedical samples for trace levels of CW agents and/or their degradation, reaction or metabolites.

  3. OPTIMAL EXERCISE POLICIES AND SIMULATION-BASED VALUATION FOR AMERICAN-ASIAN OPTIONS

    E-Print Network [OSTI]

    Fu, Michael

    OPTIMAL EXERCISE POLICIES AND SIMULATION-BASED VALUATION FOR AMERICAN-ASIAN OPTIONS RONGWEN WU-based method that exploits the established structural properties to efficiently price such options. Sections 2

  4. Y-12 to hold Emergency Management Exercise October 15 | Y-12...

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

    hold Emergency Management Exercise October 15 Posted: October 13, 2014 - 10:11am Site's New Hope Center to be closed to public until noon Emergency response personnel from the...

  5. The limited validity of the Kubo formula

    E-Print Network [OSTI]

    Steinhoff, Heinz-JĂĽrgen

    The limited validity of the Kubo formula for thermal conduction J. Gemmer, UniversitË?at Osnabr; Transport phenomena and Kubo formula Normal transport phenomena: ``field driven'' j = L F F electric current (#) F = -#V Kubo formula (KF): L F (#) = 1 V # # 0 dt e -i#t # # 0 d# Tr{â??# 0 â?? j(0) â?? j(t + i

  6. Sequence Assembly Validation by Restriction Digest Fingerprint

    E-Print Network [OSTI]

    Rouchka, Eric

    Sequence Assembly Validation by Restriction Digest Fingerprint Comparison Eric C. Rouchka and David examines the use of restriction digest analysis as a method for testing the fidelity of sequence assembly. Restriction digest fingerprint matching is an established technology for high resolution physical map

  7. Feature extraction for structural dynamics model validation

    SciTech Connect (OSTI)

    Hemez, Francois [Los Alamos National Laboratory; Farrar, Charles [Los Alamos National Laboratory; Park, Gyuhae [Los Alamos National Laboratory; Nishio, Mayuko [UNIV OF TOKYO; Worden, Keith [UNIV OF SHEFFIELD; Takeda, Nobuo [UNIV OF TOKYO

    2010-11-08T23:59:59.000Z

    This study focuses on defining and comparing response features that can be used for structural dynamics model validation studies. Features extracted from dynamic responses obtained analytically or experimentally, such as basic signal statistics, frequency spectra, and estimated time-series models, can be used to compare characteristics of structural system dynamics. By comparing those response features extracted from experimental data and numerical outputs, validation and uncertainty quantification of numerical model containing uncertain parameters can be realized. In this study, the applicability of some response features to model validation is first discussed using measured data from a simple test-bed structure and the associated numerical simulations of these experiments. issues that must be considered were sensitivity, dimensionality, type of response, and presence or absence of measurement noise in the response. Furthermore, we illustrate a comparison method of multivariate feature vectors for statistical model validation. Results show that the outlier detection technique using the Mahalanobis distance metric can be used as an effective and quantifiable technique for selecting appropriate model parameters. However, in this process, one must not only consider the sensitivity of the features being used, but also correlation of the parameters being compared.

  8. 1 Validation of the CERTS Microgrid Concept

    E-Print Network [OSTI]

    Microgrid Testbed; David K. Nichols; John Stevens; Robert H. Lasseter; Joseph H. Eto; Harry T. Vollkommer; Islanding Microgrid Microturbine

    Abstract—The development of test plans to validate the CERTS Microgrid concept is discussed, including the status of a testbed. Increased application of Distributed Energy Resources on the Distribution system has the potential to improve performance, lower operational costs and create value

  9. Validating Collective Classification Using Cohorts , Abdullah Sonmez

    E-Print Network [OSTI]

    Pratt, Vaughan

    in ecology to the cycles of energy and chemistry that drive weather and environmental change. We build]. General analysis of network data started with a statistical approach based on random graphs [5]. Work toolkit [15], and a book that covers several aspects in depth [16]. Recent work on validation

  10. Master Thesis Validation of Interpersonal Stances

    E-Print Network [OSTI]

    Vellekoop, Michel

    , people recognized the stances expressed by the virtual humans when they show the behaviors technology, such as 3D animation, programming in 3D game engine and virtual reality head-mounted displayMaster Thesis Validation of Interpersonal Stances Expressed by Virtual Suspect Characters

  11. RELAP-7 SOFTWARE VERIFICATION AND VALIDATION PLAN

    SciTech Connect (OSTI)

    Smith, Curtis L [Idaho National Laboratory; Choi, Yong-Joon [Idaho National Laboratory; Zou, Ling [Idaho National Laboratory

    2014-09-01T23:59:59.000Z

    This INL plan comprehensively describes the software for RELAP-7 and documents the software, interface, and software design requirements for the application. The plan also describes the testing-based software verification and validation (SV&V) process—a set of specially designed software models used to test RELAP-7.

  12. Network Security Validation Using Game Theory

    E-Print Network [OSTI]

    Mavronicolas, Marios

    1 Network Security Validation Using Game Theory Vicky Papadopoulou and Andreas Gregoriades Computer.papadopoulou,a.gregoriades}@euc.ac.cy Abstract: Non-functional requirements (NFR) such as network security recently gained widespread attention the immunity property of the distributed systems that depended on these networks. Security requirements

  13. The influence of diet on the short-term lipid response to acute exercise

    E-Print Network [OSTI]

    Bounds, Roger Glenn

    1996-01-01T23:59:59.000Z

    (Goodyear 1990, Swank, 1987). The reported triglyceride response to acute exercise has been variable with some claiming no change (Angelopoulos and Robertson 1993). However, in the days (24 to 72 hours) atter an exercise bout, triglyceride has usually... been shown to decrease (Dufaux 1982, Kantor 1984, Cullinane 1982, Thompson 1980). Total cholesterol and LDL-C have been shown to increase (Kantor 1987, Dufaux 1982, Durstine 1983, Cullinane 1982) or decrease (Thompson 1980, Goodyear 1990), leading...

  14. Cardiorespiratory response and blood lactate in cutting horses subjected to two exercise regimens 

    E-Print Network [OSTI]

    Campbell, Mary Elizabeth

    1986-01-01T23:59:59.000Z

    CARDIORESPIRATORY RESPONSE AND BLOOD LACTATE IN CUTTING HORSES SUBJECTED TO TWO EXERCISE REGIHENS A Thesis by MARY ELIZABETH CAMPBELL Submitted to the Graduate College of Texas ABH University in partial fulfillment of the requirement... for the degree of MASTER OP SCIENCE Hay 1986 Major Subject: Animal Science CARDIORESPIRATORY RESPONSE AHD BLOOD LACTATE IH CUTTING HORSES SUBJECTED TO TWO EXERCISE REGINENS A Thesis by NARY ELIZABETH CANPBELL Approved as to style and content by: Ga D...

  15. GRIMHX verification and validation action matrix summary

    SciTech Connect (OSTI)

    Trumble, E.F.

    1991-12-01T23:59:59.000Z

    WSRC-RP-90-026, Certification Plan for Reactor Analysis Computer Codes, describes a series of action items to be completed for certification of reactor analysis computer codes used in Technical Specifications development and for other safety and production support calculations. Validation and verification of the code is an integral part of this process. This document identifies the work performed and documentation generated to satisfy these action items for the Reactor Physics computer code GRIMHX. Each action item is discussed with the justification for its completion. Specific details of the work performed are not included in this document but are found in the references. The publication of this document signals the validation and verification effort for the GRIMHX code is completed.

  16. Structural system identification: Structural dynamics model validation

    SciTech Connect (OSTI)

    Red-Horse, J.R.

    1997-04-01T23:59:59.000Z

    Structural system identification is concerned with the development of systematic procedures and tools for developing predictive analytical models based on a physical structure`s dynamic response characteristics. It is a multidisciplinary process that involves the ability (1) to define high fidelity physics-based analysis models, (2) to acquire accurate test-derived information for physical specimens using diagnostic experiments, (3) to validate the numerical simulation model by reconciling differences that inevitably exist between the analysis model and the experimental data, and (4) to quantify uncertainties in the final system models and subsequent numerical simulations. The goal of this project was to develop structural system identification techniques and software suitable for both research and production applications in code and model validation.

  17. NASA Remote Sensing Validation Data: Saudi Arabia

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

    Myers, Daryl R. [NREL; Al-Abbadi, Naif [King Abdulaziz City for Science and Technology, Energy Research Institite; Wilcox, Steve [NREL

    Since 1995, the King Abdulaziz City for Science and Technology (KACST) and the National Renewable Energy Laboratory (NREL) have co-operated to establish a 12 station network of high quality solar radiation monitoring installations across the Kingdom of Saudi Arabia. NREL and KACST realized the value of accurate surface solar radiation flux measurements for validation of satellite derived surface and atmospheric solar radiation flux measurements, and is making this data available to support validation of satellite data products related to the NASA Mission to Planet Earth component of the Earth Science Enterprise Earth Observing System (EOS) project to evaluate long term climate trends based on measuements from EOS Terra Platforms. A CIMEL 8 channel sunphotometer for measuring aerosol optical depth at 6 wavelengths and total column water has been deployed at the Solar Village station since February 24, 1999. [Taken from http://rredc.nrel.gov/solar/new_data/Saudi_Arabia/

  18. Validation of Dose Calculation Codes for Clearance

    SciTech Connect (OSTI)

    Menon, S.; Wirendal, B.; Bjerler, J.; Studsvik; Teunckens, L.

    2003-02-27T23:59:59.000Z

    Various international and national bodies such as the International Atomic Energy Agency, the European Commission, the US Nuclear Regulatory Commission have put forward proposals or guidance documents to regulate the ''clearance'' from regulatory control of very low level radioactive material, in order to allow its recycling as a material management practice. All these proposals are based on predicted scenarios for subsequent utilization of the released materials. The calculation models used in these scenarios tend to utilize conservative data regarding exposure times and dose uptake as well as other assumptions as a safeguard against uncertainties. None of these models has ever been validated by comparison with the actual real life practice of recycling. An international project was organized in order to validate some of the assumptions made in these calculation models, and, thereby, better assess the radiological consequences of recycling on a practical large scale.

  19. Nuclear data to support computer code validation

    SciTech Connect (OSTI)

    Fisher, S.E.; Broadhead, B.L.; DeHart, M.D.; Primm, R.T. III

    1997-04-01T23:59:59.000Z

    The rate of plutonium disposition will be a key parameter in determining the degree of success of the Fissile Materials Disposition Program. Estimates of the disposition rate are dependent on neutronics calculations. To ensure that these calculations are accurate, the codes and data should be validated against applicable experimental measurements. Further, before mixed-oxide (MOX) fuel can be fabricated and loaded into a reactor, the fuel vendors, fabricators, fuel transporters, reactor owners and operators, regulatory authorities, and the Department of Energy (DOE) must accept the validity of design calculations. This report presents sources of neutronics measurements that have potential application for validating reactor physics (predicting the power distribution in the reactor core), predicting the spent fuel isotopic content, predicting the decay heat generation rate, certifying criticality safety of fuel cycle facilities, and ensuring adequate radiation protection at the fuel cycle facilities and the reactor. The U.S. in-reactor experience with MOX fuel is first presented, followed by information related to other aspects of the MOX fuel performance information that is valuable to this program, but the data base remains largely proprietary. Thus, this information is not reported here. It is expected that the selected consortium will make the necessary arrangements to procure or have access to the requisite information.

  20. Problem 1. Prove that the number of people who shook hands odd number of times There are many different formulations of this problem. To recognize the core of

    E-Print Network [OSTI]

    Timorin, Vladlen

    Graphs Problem 1. Prove that the number of people who shook hands odd number of times is even. There are many different formulations of this problem. To recognize the core of the problem, it is useful number of times. We can schematically represent people by points, and handshakes by arcs con- necting

  1. Absorption: an update In the Netherlands, a residential ab-is being incorporated now. As a conse-cepts prove to be economically viable, ab-

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    . As a conse- cepts prove to be economically viable, ab- sorption heat pump isunder development quence Aachen. Computer models for the design research and development work on ab- tele Absorption Heat Pump and Performance of systems and the results indicate that we a High Temperature-Boost Absorption Heat Pump

  2. Neutron and X-ray Scattering Techniques have proved so successful in condensed matter studies that a wide variety of sample environments have been developed in consquence. Many

    E-Print Network [OSTI]

    Boyer, Edmond

    Foreword Neutron and X-ray Scattering Techniques have proved so successful in condensed matter whose function is to develop and optimise the techniques appropriate to neutron scattering. Since other neutron and X-ray research centres have similar technical support groups, it was felt timely to unité

  3. Robot-assisted reaching exercise promotes arm movement recovery in chronic hemiparetic stroke: a randomized controlled pilot study

    E-Print Network [OSTI]

    Kahn, Leonard E; Zygman, Michele L; Rymer, W Zev; Reinkensmeyer, David J

    2006-01-01T23:59:59.000Z

    exercise with a simple robotic device, while a second grouparm skateboards to sophisticated robotic devices [2,3]. Twoenhanced somatosensory input. Robotic devices have recently

  4. Validating the Melusine Gamma Spectroscopy Tool

    SciTech Connect (OSTI)

    Erikson, Luke E.; Keillor, Martin E.; Stavenger, Timothy J.

    2013-11-26T23:59:59.000Z

    This technical report describes testing to evaluate the gamma spectroscopy tool, Melusine, under development by Pacific Northwest National Laboratory. The goal was to verify that the software can successfully be used to provide accurate results and statistical uncertainties for the detection of isotopes of interest and their activities. Of special interest were spectra similar to those produced by radionuclide stations that contribute to the Comprehensive Nuclear Test Ban Treaty Organization’s International Monitoring System. Two data sets were used to test Melusine’s capabilities. The first was the result of a multi-lab calibration effort based on neutron activations produced at the University of California at Davis. The second was taken from the Proficiency Test Exercises conducted by the CTBTO directly in 2005. In 37 of 42 cases, Melusine produced results in agreement with the best answer presently available, in most cases with calculated uncertainties comparable to or better than competing analyses. In fact, Melusine technically provided one more result than CTBTO’s PTE analyses that agreed with the “book answer” (Monte Carlo simulation). Despite these promising results, the Melusine software is still under development. Effort is especially needed to simplify its analysis process, improve stability, and provide user documentation. Some significant analysis tasks require further vetting, such as those to address summing effects. However, our test results indicate that Melusine’s calculations as presently implemented are sound and can be used to reliably analyze spectra from the CTBTO’s radionuclide stations.

  5. V-193: Barracuda SSL VPN Input Validation Hole Permits Cross...

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

    2.3.3.216 Addthis Related Articles U-252: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks U-144:Juniper Secure Access Input Validation Flaw Permits...

  6. Advanced Supply System Validation Workshop | Department of Energy

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

    Advanced Supply System Validation Workshop Advanced Supply System Validation Workshop February 3, 2015 12:00PM MST to February 4, 2015 2:15PM MST National Renewable Energy...

  7. Solar Energy Research Institute Validation Test House Site Handbook

    SciTech Connect (OSTI)

    Burch, J.; Wortman, D.; Judkoff, R.; Hunn, B.

    1985-05-01T23:59:59.000Z

    The Validation Test House at the Solar Energy Research Institute in Golden, Colorado, is being used to collect performance data for analysis/design tool validation as part of the DOE Passive Solar Class A Performance Evaluation Program.

  8. Development and Validation of the Transition Coordinators Survey

    E-Print Network [OSTI]

    Bjorkman Wade, Diana K.

    2014-05-31T23:59:59.000Z

    The purpose of this study was to create a valid and reliable instrument for the field of secondary special education and transition by developing and validating the Transition Coordinators Survey (TCS). Transition coordinators are professionals who...

  9. Validation of machine-oriented strategies in chess endgames 

    E-Print Network [OSTI]

    Niblett, Timothy B.

    1982-01-01T23:59:59.000Z

    This thesis is concerned with the validation of chess endgame strategies. It is also concerned with the synthesis of strategies that can be validated. A strategy for a given player is the specification of the move to ...

  10. Industrial engineering study of tank farm access qualifications and validations

    SciTech Connect (OSTI)

    Sterling, S.G., Westinghouse Hanford

    1996-07-01T23:59:59.000Z

    Engineering study of alternatives to reduce costs of validation worker`s qualification prior to Tank Farm area access.

  11. On the Practicality of Abductive Validation Tim Menzies 1

    E-Print Network [OSTI]

    Menzies, Tim

    On the Practicality of Abductive Validation Tim Menzies 1 Abstract. An abductive framework is described for validating the- ories using a library of known or desired behaviour. Abduction is known. The computational limits of the framework is therefore explored. We find that abductive validation is a practical

  12. Deviational analyses for validating regulations on real systems

    E-Print Network [OSTI]

    Kelly, Tim

    Deviational analyses for validating regulations on real systems Fiona Polack, Thitima Srivatanakul to the validation of reg- ulations, in the sense of their application of regulations to real systems. Keyword: deviational analysis, dependability, regulation validation 1 Background Regulations are intended to control

  13. NPP Atmosphere EDR Validation Plan NATIONAL POLAR-ORBITTING OPERATIONAL

    E-Print Network [OSTI]

    NPP Atmosphere EDR Validation Plan DRAFT NATIONAL POLAR-ORBITTING OPERATIONAL ENVIRONMENTAL and Aerosol EDRs DATE: 13 March 2009 No. I30008 VER. 1 REV. A PREPARED BY) 1 #12;NPP Atmosphere EDR Validation Plan DRAFT Calibration and Validation of the NPP/NPOESS VIIRS

  14. Reviews and Validations | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed off Energy.gov. Are you sure you wantJoin us for| DepartmentReduce Hot WaterReviews and Validations

  15. Validating Computer-Designed Proteins for Vaccines

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps toValidating Computer-Designed Proteins for

  16. Validating Computer-Designed Proteins for Vaccines

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps toValidating Computer-Designed Proteins

  17. Validating Computer-Designed Proteins for Vaccines

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps toValidating Computer-Designed

  18. Accelerated Testing Validation | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The Future of1 AAccelerated aging of roofing surfaces HugoTesting Validation

  19. Joint Sandia/NIOSH exercise on aerosol contamination using the BROOM tool.

    SciTech Connect (OSTI)

    Ramsey, James L., Jr. (.,; .); Melton, Brad; Finley, Patrick; Brockman, John; Peyton, Chad E.; Tucker, Mark David; Einfeld, Wayne; Brown, Gary Stephen; Griffith, Richard O.; Lucero, Daniel A.; Knowlton, Robert G.; McKenna, Sean Andrew; Ho, Pauline

    2006-06-01T23:59:59.000Z

    In February of 2005, a joint exercise involving Sandia National Laboratories (SNL) and the National Institute for Occupational Safety and Health (NIOSH) was conducted in Albuquerque, NM. The SNL participants included the team developing the Building Restoration Operations and Optimization Model (BROOM), a software product developed to expedite sampling and data management activities applicable to facility restoration following a biological contamination event. Integrated data-collection, data-management, and visualization software improve the efficiency of cleanup, minimize facility downtime, and provide a transparent basis for reopening. The exercise was held at an SNL facility, the Coronado Club, a now-closed social club for Sandia employees located on Kirtland Air Force Base. Both NIOSH and SNL had specific objectives for the exercise, and all objectives were met.

  20. TRACE/PARCS calculations of exercises 1 and 2 of the V1000CT-2 benchmark

    SciTech Connect (OSTI)

    Ivanov, B.; Ivanov, K. [Pennsylvania State Univ., 230 Reber Bldg, Univ. Park, PA 16801 (United States); Popov, E. [Oak Ridge National Laboratory, 1 Bethel Valley Rd., Oak Ridge, TN 37831 (United States)

    2006-07-01T23:59:59.000Z

    Exercises 1 and 2 of the VVER-1000 Coolant Transient Benchmark Phase 2 (V1000CT-2) are investigated using coupled three-dimensional (3-D) neutron kinetics/thermal-hydraulics code TRACE/PARCS. Two coarse mesh 3-D thermal-hydraulic models (with six angular sectors and with eighteen angular sectors) were developed for the system code TRACE for Exercise 1 and their applicability is evaluated using the test data provided in the benchmark specification. The six sector model is then coupled with the PARCS 3-D neutron kinetics model in order to analyze Exercise 2 of the benchmark. The results show that TRACE code is accurate enough to simulate the flow mixing occurring in the downcomer of the VVER-1000 reactor. (authors)

  1. Evaluating Domestic Hot Water Distribution System Options With Validated Analysis Models

    SciTech Connect (OSTI)

    Weitzel, E.; Hoeschele, M.

    2014-09-01T23:59:59.000Z

    A developing body of work is forming that collects data on domestic hot water consumption, water use behaviors, and energy efficiency of various distribution systems. A full distribution system developed in TRNSYS has been validated using field monitoring data and then exercised in a number of climates to understand climate impact on performance. This study builds upon previous analysis modelling work to evaluate differing distribution systems and the sensitivities of water heating energy and water use efficiency to variations of climate, load, distribution type, insulation and compact plumbing practices. Overall 124 different TRNSYS models were simulated. Of the configurations evaluated, distribution losses account for 13-29% of the total water heating energy use and water use efficiency ranges from 11-22%. The base case, an uninsulated trunk and branch system sees the most improvement in energy consumption by insulating and locating the water heater central to all fixtures. Demand recirculation systems are not projected to provide significant energy savings and in some cases increase energy consumption. Water use is most efficient with demand recirculation systems, followed by the insulated trunk and branch system with a central water heater. Compact plumbing practices and insulation have the most impact on energy consumption (2-6% for insulation and 3-4% per 10 gallons of enclosed volume reduced). The results of this work are useful in informing future development of water heating best practices guides as well as more accurate (and simulation time efficient) distribution models for annual whole house simulation programs.

  2. CASL Validation Data: An Initial Review

    SciTech Connect (OSTI)

    Nam Dinh

    2011-01-01T23:59:59.000Z

    The study aims to establish a comprehensive view of “data” needed for supporting implementation of the Consortium of Advanced Simulation of LWRs (CASL). Insights from this review (and its continual refinement), together with other elements developed in CASL, should provide the foundation for developing the CASL Validation Data Plan (VDP). VDP is instrumental to the development and assessment of CASL simulation tools as predictive capability. Most importantly, to be useful for CASL, the VDP must be devised (and agreed upon by all participating stakeholders) with appropriate account for nature of nuclear engineering applications, the availability, types and quality of CASL-related data, and novelty of CASL goals and its approach to the selected challenge problems. The initial review (summarized on the January 2011 report version) discusses a broad range of methodological issues in data review and Validation Data Plan. Such a top-down emphasis in data review is both needed to see a big picture on CASL data and appropriate when the actual data are not available for detailed scrutiny. As the data become available later in 2011, a revision of data review (and regular update) should be performed. It is expected that the basic framework for review laid out in this report will help streamline the CASL data review in a way that most pertinent to CASL VDP.

  3. Regulation of Endothelial Phenotype in Rat Soleus Muscle Feed Arteries: Influence of Aging and Exercise Training

    E-Print Network [OSTI]

    Trott, Daniel Wayne

    2012-02-14T23:59:59.000Z

    arrival, rats were exercise trained (Ex) or remained sedentary (Sed) for 10-12 weeks. Thus, at the end of the training program, the ages of the young and old rats were 4-5 mo or 24-25 mo respectively. The resulting experimental design consisted... of four groups of rats: 1) young Sed (n = 10), 2) young Ex (n = 10), 3) old Sed (n = 10), and 4) old Ex (n = 10). To determine whether exogenous antioxidants produce exercise-like effects on aged SFA, a separate group of male Fischer 344 rats (4...

  4. Effect of exercise training and dietary fat on rat adipose tissue lipolysis and morphology

    E-Print Network [OSTI]

    Neale, Sonia Barstad

    1989-01-01T23:59:59.000Z

    . , Colorado State University Co-Chairs of Advisory Committee: Dr. Karen S. Kubena Dr. Stephen B. Smith The effects of exercise training and dietary fat on lipolysis rate and adipocyte morphology of epididymal fat pads were studied. Male rats (5 wk old...-free. The diets were initiated when the rats were 4 wk old. Body weight (p&0. 001), fat pad weight (p&0. 001), and adipocyte diameter (p&0. 05) were significantly less in the exercised group than in the sedentary group. Adipocyte number was not significantly...

  5. Does Increased Exercise or Physical Activity Alter Ad-Libitum Daily Energy Intake or Macronutrient Composition in Healthy Adults? A Systematic Review

    E-Print Network [OSTI]

    Donnelly, Joseph E.; Herrmann, Stephen D.; Lambourne, Kate; Szabo, Amanda N.; Honas, Jeffery J.; Washburn, Richard A.

    2014-01-15T23:59:59.000Z

    Background The magnitude of the negative energy balance induced by exercise may be reduced due to compensatory increases in energy intake. Objective To address the question: Does increased exercise or physical activity alter ad-libitum daily...

  6. Concurrent Exercise and the Potential Role of Aquatic Treadmill Running for Promoting Rather than Impeding Skeletal Muscle Growth and Strength Development

    E-Print Network [OSTI]

    Lambert, Bradley Stewart

    2014-06-02T23:59:59.000Z

    . The results of this investigation challenge the view that training for both strength and endurance are universally incompatible. They also highlight the importance of exercise mode selection when prescribing exercise programs for specific health or performance...

  7. On the validity of the Poisson assumption in sampling nanometer-sized aerosols

    SciTech Connect (OSTI)

    Damit, Brian E [ORNL] [ORNL; Wu, Dr. Chang-Yu [University of Florida, Gainesville] [University of Florida, Gainesville; Cheng, Mengdawn [ORNL] [ORNL

    2014-01-01T23:59:59.000Z

    A Poisson process is traditionally believed to apply to the sampling of aerosols. For a constant aerosol concentration, it is assumed that a Poisson process describes the fluctuation in the measured concentration because aerosols are stochastically distributed in space. Recent studies, however, have shown that sampling of micrometer-sized aerosols has non-Poissonian behavior with positive correlations. The validity of the Poisson assumption for nanometer-sized aerosols has not been examined and thus was tested in this study. Its validity was tested for four particle sizes - 10 nm, 25 nm, 50 nm and 100 nm - by sampling from indoor air with a DMA- CPC setup to obtain a time series of particle counts. Five metrics were calculated from the data: pair-correlation function (PCF), time-averaged PCF, coefficient of variation, probability of measuring a concentration at least 25% greater than average, and posterior distributions from Bayesian inference. To identify departures from Poissonian behavior, these metrics were also calculated for 1,000 computer-generated Poisson time series with the same mean as the experimental data. For nearly all comparisons, the experimental data fell within the range of 80% of the Poisson-simulation values. Essentially, the metrics for the experimental data were indistinguishable from a simulated Poisson process. The greater influence of Brownian motion for nanometer-sized aerosols may explain the Poissonian behavior observed for smaller aerosols. Although the Poisson assumption was found to be valid in this study, it must be carefully applied as the results here do not definitively prove applicability in all sampling situations.

  8. Free kick instead of cross-validation in maximum-likelihood refinement of macromolecular crystal structures

    SciTech Connect (OSTI)

    Pražnikar, Jure [Institute Jožef Stefan, Jamova 39, 1000 Ljubljana (Slovenia); University of Primorska, (Slovenia); Turk, Dušan, E-mail: dusan.turk@ijs.si [Institute Jožef Stefan, Jamova 39, 1000 Ljubljana (Slovenia); Center of Excellence for Integrated Approaches in Chemistry and Biology of Proteins, (Slovenia)

    2014-12-01T23:59:59.000Z

    The maximum-likelihood free-kick target, which calculates model error estimates from the work set and a randomly displaced model, proved superior in the accuracy and consistency of refinement of crystal structures compared with the maximum-likelihood cross-validation target, which calculates error estimates from the test set and the unperturbed model. The refinement of a molecular model is a computational procedure by which the atomic model is fitted to the diffraction data. The commonly used target in the refinement of macromolecular structures is the maximum-likelihood (ML) function, which relies on the assessment of model errors. The current ML functions rely on cross-validation. They utilize phase-error estimates that are calculated from a small fraction of diffraction data, called the test set, that are not used to fit the model. An approach has been developed that uses the work set to calculate the phase-error estimates in the ML refinement from simulating the model errors via the random displacement of atomic coordinates. It is called ML free-kick refinement as it uses the ML formulation of the target function and is based on the idea of freeing the model from the model bias imposed by the chemical energy restraints used in refinement. This approach for the calculation of error estimates is superior to the cross-validation approach: it reduces the phase error and increases the accuracy of molecular models, is more robust, provides clearer maps and may use a smaller portion of data for the test set for the calculation of R{sub free} or may leave it out completely.

  9. SU-E-T-50: Automatic Validation of Megavoltage Beams Modeled for Clinical Use in Radiation Therapy

    SciTech Connect (OSTI)

    Melchior, M [Terapia Radiante S.A., La Plata, Buenos Aires (Argentina); Salinas Aranda, F [Vidt Centro Medico, Ciudad Autonoma De Buenos Aires (Argentina); 21st Century Oncology, Ft. Myers, FL (United States); Sciutto, S [Universidad Nacional de La Plata, La Plata, Buenos Aires (Argentina); Dodat, D [Centro Medico Privado Dean Funes, La Plata, Buenos Aires (Argentina); Larragueta, N [Universidad Nacional de La Plata, La Plata, Buenos Aires (Argentina); Centro Medico Privado Dean Funes, La Plata, Buenos Aires (Argentina)

    2014-06-01T23:59:59.000Z

    Purpose: To automatically validate megavoltage beams modeled in XiO™ 4.50 (Elekta, Stockholm, Sweden) and Varian Eclipse™ Treatment Planning Systems (TPS) (Varian Associates, Palo Alto, CA, USA), reducing validation time before beam-on for clinical use. Methods: A software application that can automatically read and analyze DICOM RT Dose and W2CAD files was developed using MatLab integrated development environment.TPS calculated dose distributions, in DICOM RT Dose format, and dose values measured in different Varian Clinac beams, in W2CAD format, were compared. Experimental beam data used were those acquired for beam commissioning, collected on a water phantom with a 2D automatic beam scanning system.Two methods were chosen to evaluate dose distributions fitting: gamma analysis and point tests described in Appendix E of IAEA TECDOC-1583. Depth dose curves and beam profiles were evaluated for both open and wedged beams. Tolerance parameters chosen for gamma analysis are 3% and 3 mm dose and distance, respectively.Absolute dose was measured independently at points proposed in Appendix E of TECDOC-1583 to validate software results. Results: TPS calculated depth dose distributions agree with measured beam data under fixed precision values at all depths analyzed. Measured beam dose profiles match TPS calculated doses with high accuracy in both open and wedged beams. Depth and profile dose distributions fitting analysis show gamma values < 1. Relative errors at points proposed in Appendix E of TECDOC-1583 meet therein recommended tolerances.Independent absolute dose measurements at points proposed in Appendix E of TECDOC-1583 confirm software results. Conclusion: Automatic validation of megavoltage beams modeled for their use in the clinic was accomplished. The software tool developed proved efficient, giving users a convenient and reliable environment to decide whether to accept or not a beam model for clinical use. Validation time before beam-on for clinical use was reduced to a few hours.

  10. The Blazar Sequence: Validity and Predictions

    E-Print Network [OSTI]

    P. Padovani

    2006-10-18T23:59:59.000Z

    The "blazar sequence" posits that the most powerful BL Lacertae objects and flat-spectrum radio quasars should have relatively small synchrotron peak frequencies, nu_peak, and that the least powerful such objects should have the highest nu_peak values. This would have strong implications for our understanding of jet formation and physics and the possible detection of powerful, moderately high-redshift TeV blazars. I review the validity of the blazar sequence by using the results of very recent surveys and compare its detailed predictions against observational data. I find that the blazar sequence in its simplest form is ruled out. However, powerful flat-spectrum radio quasars appear not to reach the nu_peak typical of BL Lacs. This could indeed be related to some sort of sequence, although it cannot be excluded that it is instead due to a selection effect.

  11. Real-World Hydrogen Technology Validation: Preprint

    SciTech Connect (OSTI)

    Sprik, S.; Kurtz, J.; Wipke, K.; Ramsden, T.; Ainscough, C.; Eudy, L.; Saur, G.

    2012-03-01T23:59:59.000Z

    The Department of Energy, the Department of Defense's Defense Logistics Agency, and the Department of Transportation's Federal Transit Administration have funded learning demonstrations and early market deployments to provide insight into applications of hydrogen technologies on the road, in the warehouse, and as stationary power. NREL's analyses validate the technology in real-world applications, reveal the status of the technology, and facilitate the development of hydrogen and fuel cell technologies, manufacturing, and operations. This paper presents the maintenance, safety, and operation data of fuel cells in multiple applications with the reported incidents, near misses, and frequencies. NREL has analyzed records of more than 225,000 kilograms of hydrogen that have been dispensed through more than 108,000 hydrogen fills with an excellent safety record.

  12. Verification and Validation Strategy for LWRS Tools

    SciTech Connect (OSTI)

    Carl M. Stoots; Richard R. Schultz; Hans D. Gougar; Thomas K Larson; Michael Corradini; Laura Swiler; David Pointer; Jess Gehin

    2012-09-01T23:59:59.000Z

    One intension of the Department of Energy (DOE) Light Water Reactor Sustainability (LWRS) program is to create advanced computational tools for safety assessment that enable more accurate representation of a nuclear power plant safety margin. These tools are to be used to study the unique issues posed by lifetime extension and relicensing of the existing operating fleet of nuclear power plants well beyond their first license extension period. The extent to which new computational models / codes such as RELAP-7 can be used for reactor licensing / relicensing activities depends mainly upon the thoroughness with which they have been verified and validated (V&V). This document outlines the LWRS program strategy by which RELAP-7 code V&V planning is to be accomplished. From the perspective of developing and applying thermal-hydraulic and reactivity-specific models to reactor systems, the US Nuclear Regulatory Commission (NRC) Regulatory Guide 1.203 gives key guidance to numeric model developers and those tasked with the validation of numeric models. By creating Regulatory Guide 1.203 the NRC defined a framework for development, assessment, and approval of transient and accident analysis methods. As a result, this methodology is very relevant and is recommended as the path forward for RELAP-7 V&V. However, the unique issues posed by lifetime extension will require considerations in addition to those addressed in Regulatory Guide 1.203. Some of these include prioritization of which plants / designs should be studied first, coupling modern supporting experiments to the stringent needs of new high fidelity models / codes, and scaling of aging effects.

  13. SWIM LESSONS Whether you want to learn how to swim, get some exercise or just

    E-Print Network [OSTI]

    Beex, A. A. "Louis"

    SWIM LESSONS Whether you want to learn how to swim, get some exercise or just have fun, you Learn To Swim program. There are always American Red Cross certified lifeguards on duty during lessons;SWIM LESSONS open house FREE SWIM LESSONS! Saturday, September 28th 11am - Noon, McComas Hall Learn

  14. GYMNASTICS LESSONS Whether you want to learn how to tumble, get some exercise, or

    E-Print Network [OSTI]

    Beex, A. A. "Louis"

    GYMNASTICS LESSONS Whether you want to learn how to tumble, get some exercise, or just have fun will be practiced with females and all men's events will be practiced with males. PRIVATE LESSONS Designed lessons offer an excellent opportunity to explore your potential. These classes may be taken in addition

  15. Multimedia-Aufgaben in der Ingenieurausbildung Multimedia exercises in Engineering Education

    E-Print Network [OSTI]

    Nabben, Reinhard

    Multimedia-Aufgaben in der Ingenieurausbildung Multimedia exercises in Engineering Education S Classically for big events: ?ex-cathedra teaching ?less active work Einsatz von Multimedia-Aufgaben: ?Multimedia-Aufgaben stellen eine Erweiterung zu traditionellen Aufgaben dar. ?Förderung der Bildung von

  16. Copper and zinc balance in exercising horses fed two forms of mineral supplements

    E-Print Network [OSTI]

    Wagner, Elizabeth Lynn

    2009-05-15T23:59:59.000Z

    . In periods 4 and 7, horses were fed diets designed to provide 90% of NRC (1989) values for Cu and Zn supplied in the sulfate or organic-chelate forms. Horses were subjected to a standard exercise test on d 23 of periods 4 and 7 followed by a 4-d total fecal...

  17. Effects of nutritional status on metabolic rate, exercise and recovery in a freshwater fish

    SciTech Connect (OSTI)

    Gingerich, Andrew J.; Philipp, D. P.; Suski, C. D.

    2010-11-20T23:59:59.000Z

    The influence of feeding on swimming performance and exercise recovery in fish is poorly understood. Examining swimming behavior and physiological status following periods of feeding and fasting is important because wild fish often face periods of starvation. In the current study, researchers force fed and fasted groups of largemouth bass (Micropterus salmoides) of similar sizes for a period of 16 days. Following this feeding and fasting period, fish were exercised for 60 s and monitored for swimming performance and physiological recovery. Resting metabolic rates were also determined. Fasted fish lost an average of 16 g (nearly 12%) of body mass, while force fed fish maintained body mass. Force fed fish swam 28% further and required nearly 14 s longer to tire during exercise. However, only some physiological conditions differed between feeding groups. Resting muscle glycogen concentrations was twofold greater in force fed fish, at rest and throughout recovery, although it decreased in both feeding treatments following exercise. Liver mass was nearly three times greater in force fed fish, and fasted fish had an average of 65% more cortisol throughout recovery. Similar recovery rates of most physiological responses were observed despite force fed fish having a metabolic rate 75% greater than fasted fish. Results are discussed as they relate to largemouth bass starvation in wild systems and how these physiological differences might be important in an evolutionary context.

  18. Effects of exercise or oocyte heat shock on embryo development and gene expression in the horse

    E-Print Network [OSTI]

    Mortensen, Christopher John

    2009-05-15T23:59:59.000Z

    in other species and heat shock protein 70 has been shown to be an important gene in regulating cellular response to heat. Mares were exercised in a hot humid environment to determine the effects on reproductive efficiency. Embryos were collected at d 7...

  19. SMB Information Security Seminar (2013) Exercise 2 Estimated costs from bad things happening to your

    E-Print Network [OSTI]

    Magee, Joseph W.

    2013-01-01T23:59:59.000Z

    SMB Information Security Seminar (2013) Exercise 2 ­ Estimated costs from bad things happening to your important information. First, think about the information used in/by your organization. Second, enter into the table below your top two highest priority information types. Third, enter estimated costs

  20. SMB Information Security Seminar (2013) Exercise 4 Actions taken to maintain awareness of

    E-Print Network [OSTI]

    Magee, Joseph W.

    2013-01-01T23:59:59.000Z

    SMB Information Security Seminar (2013) Exercise 4 Actions taken to maintain awareness of threats note of the data security issues covered in these publications. Ask yourself "Is my business vulnerable network with your peers, talk about cyber security issues. Give and get advice, hints, tips, etc. 4. Make